[ { "path": ".ccls", "content": "clang\n%c -std=c17\n%cpp -std=c++17\n-Isrc/" }, { "path": ".clang-format", "content": "---\nAlignAfterOpenBracket: DontAlign\nAlignEscapedNewlines: DontAlign\nAlignTrailingComments: false\nAllowShortCaseLabelsOnASingleLine: true\nAllowShortIfStatementsOnASingleLine: AllIfsAndElse\nAllowShortLoopsOnASingleLine: true\nBraceWrapping:\n AfterControlStatement: MultiLine\n BeforeCatch: true\n BeforeElse: true\nBreakBeforeBraces: Custom\nColumnLimit: 132\nConstructorInitializerIndentWidth: 0\nContinuationIndentWidth: 2\nIndentCaseLabels: true\nIndentPPDirectives: AfterHash\nIndentWidth: 2\nKeepEmptyLinesAtTheStartOfBlocks: false\nMaxEmptyLinesToKeep: 2\nPenaltyBreakAssignment: 50\nPointerAlignment: Left\nReflowComments: false\nSortIncludes: false\nSpaceAfterTemplateKeyword: false\nUseTab: Never\n\n...\n" }, { "path": ".cmake-format.py", "content": "# flake8: noqa\nwith section(\"format\"):\n separate_ctrl_name_with_space = True\n" }, { "path": ".codecov.yml", "content": "coverage:\n precision: 1\n round: down\n range: 60..100\ncomment:\n require_changes: true\n after_n_builds: 12\n" }, { "path": ".fortls", "content": "{\n \"excl_paths\": [\"build\"]\n}" }, { "path": ".git-blame-ignore-revs", "content": "# git commit hashes with whitespace/reformatting changes only\n# Make git-blame use this file by running:\n# git config blame.ignoreRevsFile .git-blame-ignore-revs\n\n21f91d84e3cda3eaf838a3b510077c9e01c8aeb8\nfcfa8ae3551ae0d3517db59cbc3ebaea0dccc967\n53891420300f402fd70afcbfb00e1b21024040d3\ne948f9db58989f081fa0b4e4e4236e06b5566364\n972f09eb17c021c4970ddbd08596869b43e88a33\n8e647643ad149d2b886c74db1d50376066d65483\n8ebeab6fd522ec54e89ab7c6dd14bae36efc8d67\n3169190d69019d1221b1fee92e35d2501479f403\ndf7ea8fb053b17a0bb6f9c3b243652395cf9dbe7\n224479c43e58305d2da2f41eff727baca5ef72c8\nf4d6abdf94381392a496e736c8684f06664bd9e5\ne8e1fe118ce19e6e6942405baeae2f96dbd620cb\nfa1838a1e4ae03b87c3c1e4b37ba4dc2b97d75ae\n65f3f47c78c51548bb84332f239b79e6c0094d6f\n" }, { "path": ".gitattributes", "content": ".gitattributes export-ignore\n.gitignore export-ignore\n.gitmodules export-ignore\n.travis.yml export-ignore\n.github export-ignore\n" }, { "path": ".github/ISSUE_TEMPLATE/bug_report.md", "content": "---\nname: Bug report\nabout: Create a report to help us improve\n\n---\n\n**Describe the bug**\nA clear and concise description of what the bug is, including the stacktrace (if there was one).\n\n**To Reproduce**\nSteps to reproduce the behavior:\n1. Built with the command: '...'\n2. Run like this: '....'\n3. On the architecture/host/platform: '....'\n4. See error\n\n**Expected behavior**\nA clear and concise description of what you expected to happen.\n\n**Environment:**\n - Operating system & version\n - Compiler vendor & version\n - Build environment (make or cmake)\n - Configuration of DBCSR (either the cmake flags or the `Makefile.inc`)\n - MPI implementation and version\n - If CUDA is being used: CUDA version and GPU architecture\n - BLAS/LAPACK implementation and version\n - If applicable: Runtime information (how many nodes, type of nodes, ...)\n" }, { "path": ".github/workflows/doc-generation.yml", "content": "---\nname: Generating documentation\non:\n push:\n branches:\n - 'develop'\n tags:\n - 'v*'\n workflow_dispatch:\n\njobs:\n build-and-deploy:\n runs-on: ubuntu-latest\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04:develop\n volumes:\n - \"/etc/ssh/ssh_known_hosts:/etc/ssh/ssh_known_hosts:ro\"\n\n steps:\n - uses: actions/checkout@v4\n with:\n fetch-depth: 0\n submodules: true\n\n - name: Configure\n run: |\n mkdir -p build\n cd build\n cmake -G Ninja \\\n -DUSE_MPI=ON \\\n -DBUILD_TESTING=ON \\\n -DUSE_OPENMP=ON \\\n -DUSE_SMM=libxsmm \\\n -DMPI_EXECUTABLE_SUFFIX=.mpich \\\n ..\n\n - name: Build\n run: |\n cmake --build build -- doc\n touch build/doc/.nojekyll\n\n - name: Configure git to trust the workspace despite the different owner\n run:\n git config --global --add safe.directory \"$GITHUB_WORKSPACE\"\n\n - name: Deploy Development Documentation\n if: github.repository == 'cp2k/dbcsr' && github.ref == 'refs/heads/develop'\n uses: JamesIves/github-pages-deploy-action@releases/v4\n with:\n branch: gh-pages\n folder: build/doc\n target-folder: develop\n clean: true\n clean-exclude: |\n releases/\n ssh-key: ${{ secrets.SSH_DEPLOY_KEY }}\n\n - name: Get the release version\n id: get_version\n run: echo ::set-output name=VERSION::${GITHUB_REF/refs\\/tags\\/v/}\n shell: bash\n\n - name: Deploy Release Documentation\n if: github.repository == 'cp2k/dbcsr' && contains(github.ref, 'tags')\n uses: JamesIves/github-pages-deploy-action@releases/v4\n with:\n branch: gh-pages\n folder: build/doc\n target-folder: 'releases/v${{ steps.get_version.outputs.VERSION }}'\n ssh-key: ${{ secrets.SSH_DEPLOY_KEY }}\n\n# vim: set ts=2 sw=2 tw=0 :\n" }, { "path": ".github/workflows/docker-build-env.yml", "content": "---\nname: Publish DBCSR Build Environments to the GitHub Contrainer Registry\n\non:\n push:\n branches:\n - 'develop'\n paths:\n - 'tools/docker/**'\n - '.github/workflows/docker-build-env.yml'\n schedule: # runs on the last commit of the repo's default branch\n - cron: '45 23 * * *'\n workflow_dispatch:\n\njobs:\n docker-build-env:\n runs-on: ubuntu-latest\n if: github.repository == 'cp2k/dbcsr' # Only run from main repo\n strategy:\n matrix:\n include:\n - docker_image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04\n context: tools/docker\n file: Dockerfile.build-env-ubuntu\n registry: ghcr.io\n - docker_image: ghcr.io/cp2k/dbcsr-build-env-latest-gcc\n context: tools/docker\n file: Dockerfile.build-env-latest-gcc\n registry: ghcr.io\n - docker_image: ghcr.io/cp2k/dbcsr-build-env-rocm\n context: tools/docker\n file: Dockerfile.build-env-rocm\n registry: ghcr.io\n - docker_image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04-cuda\n context: tools/docker\n file: Dockerfile.build-env-ubuntu-cuda\n registry: ghcr.io\n\n steps:\n - name: Checkout Repository\n uses: actions/checkout@v4\n\n - name: Prepare\n id: prep\n run: |\n DOCKER_IMAGE=${{ matrix.docker_image }}\n VERSION=latest\n if [[ $GITHUB_REF == refs/tags/* ]]; then\n VERSION=${GITHUB_REF#refs/tags/}\n elif [[ $GITHUB_REF == refs/heads/* ]]; then\n VERSION=$(echo ${GITHUB_REF#refs/heads/} | sed -r 's#/+#-#g')\n elif [[ $GITHUB_REF == refs/pull/* ]]; then\n VERSION=pr-${{ github.event.number }}\n fi\n TAGS=\"${DOCKER_IMAGE}:${VERSION}\"\n if [ \"${{ github.event_name }}\" = \"push\" ]; then\n TAGS=\"$TAGS,${DOCKER_IMAGE}:sha-${GITHUB_SHA::8}\"\n fi\n echo \"version=${VERSION}\" >> $GITHUB_OUTPUT\n echo \"tags=${TAGS}\" >> $GITHUB_OUTPUT\n echo \"created=$(date -u +'%Y-%m-%dT%H:%M:%SZ')\" >> $GITHUB_OUTPUT\n\n - name: Set up Docker Buildx\n uses: docker/setup-buildx-action@v3\n\n - name: Login to Container registry\n uses: docker/login-action@v3\n with:\n registry: ${{ matrix.registry }}\n username: ${{ github.actor }}\n password: ${{ secrets.GITHUB_TOKEN }}\n\n - name: Build and push container image\n uses: docker/build-push-action@v5\n with:\n context: ${{ matrix.context }}\n file: ${{ matrix.context }}/${{ matrix.file }}\n push: ${{ github.event_name != 'pull_request' }}\n tags: ${{ steps.prep.outputs.tags }}\n labels: |\n org.opencontainers.image.source=${{ github.event.repository.html_url }}\n org.opencontainers.image.created=${{ steps.prep.outputs.created }}\n org.opencontainers.image.revision=${{ github.sha }}\n" }, { "path": ".github/workflows/release.yml", "content": "---\nname: Create release\non:\n push:\n tags:\n - 'v*'\n\njobs:\n build-and-upload:\n runs-on: ubuntu-latest\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04:develop\n\n steps:\n - uses: actions/checkout@v4\n with:\n submodules: true\n\n - name: Configure\n run: |\n mkdir -p build\n cd build\n cmake -G Ninja \\\n -DUSE_MPI=ON \\\n -DBUILD_TESTING=ON \\\n -DUSE_OPENMP=ON \\\n -DUSE_SMM=libxsmm \\\n -DMPI_EXECUTABLE_SUFFIX=.mpich \\\n ..\n\n - name: Configure git to trust the workspace despite the different owner\n run:\n git config --global --add safe.directory \"$GITHUB_WORKSPACE\"\n\n - name: Build Release Asset\n run: cmake --build build -- dist\n\n - name: Get the release version\n id: get_version\n run: echo ::set-output name=VERSION::${GITHUB_REF/refs\\/tags\\/v/}\n shell: bash\n\n - name: Create Release\n id: create_release\n uses: actions/create-release@latest\n env:\n GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n with:\n tag_name: ${{ github.ref }}\n release_name: Release ${{ github.ref }}\n draft: true\n prerelease: true\n\n - name: Upload Release Asset\n uses: actions/upload-release-asset@v1\n env:\n GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n with:\n upload_url: ${{ steps.create_release.outputs.upload_url }}\n asset_path: ./build/dist/dbcsr-${{ steps.get_version.outputs.VERSION }}.tar.gz\n asset_name: dbcsr-${{ steps.get_version.outputs.VERSION }}.tar.gz\n asset_content_type: application/gzip\n\n# vim: set ts=2 sw=2 tw=0 :\n" }, { "path": ".github/workflows/testing-gcc.yml", "content": "---\nname: Testing with latest gcc\non:\n push:\n branches:\n - 'develop'\n pull_request:\n\njobs:\n build-and-test:\n runs-on: ubuntu-latest\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-latest-gcc:develop\n\n steps:\n - uses: actions/checkout@v4\n with:\n fetch-depth: 0\n submodules: true\n\n - name: Configure\n run: |\n mkdir -p build\n cd build\n cmake -G Ninja \\\n -DCMAKE_BUILD_TYPE=Debug \\\n -DBUILD_TESTING=ON \\\n -DUSE_MPI=OFF \\\n -DUSE_OPENMP=ON \\\n -DUSE_SMM=blas \\\n -DUSE_MPI_F08=ON \\\n ..\n\n - name: Build\n run: cmake --build build -- --verbose\n\n - name: Test\n run: |\n export LSAN_OPTIONS=suppressions=$PWD/tools/docker/lsan.supp\n cd build\n ctest --output-on-failure\n\n# vim: set ts=2 sw=2 tw=0 :\n" }, { "path": ".github/workflows/testing-linux.yml", "content": "---\nname: Testing on Linux\non:\n push:\n branches:\n - 'develop'\n pull_request:\n\njobs:\n ##################################################################################\n # Run pre-commit\n ##################################################################################\n pre-commit:\n runs-on: ubuntu-latest\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04:develop\n steps:\n - uses: actions/checkout@v4\n - name: Run pre-commit\n run: |\n git config --global --add safe.directory \"$GITHUB_WORKSPACE\"\n pre-commit run --all-files || ( git status --short ; git diff ; exit 1 )\n\n ##################################################################################\n # Build and test on linux, no accelerator\n ##################################################################################\n build-and-test:\n runs-on: ubuntu-latest\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04:develop\n\n strategy:\n matrix:\n use_mpi: [MPI=ON, MPI=OFF]\n use_openmp: [OPENMP=ON, OPENMP=OFF]\n use_smm: [SMM=blas, SMM=libxsmm]\n mpi_suffix: [openmpi, mpich]\n exclude:\n - use_mpi: MPI=OFF\n mpi_suffix: mpich\n\n steps:\n - uses: actions/checkout@v4\n with:\n fetch-depth: 0\n submodules: true\n\n - name: Configure\n run: |\n mkdir -p build\n cd build\n cmake -G Ninja \\\n -DCMAKE_BUILD_TYPE=Coverage \\\n -DBUILD_TESTING=ON \\\n -DUSE_${{ matrix.use_mpi }} \\\n -DUSE_${{ matrix.use_openmp }} \\\n -DUSE_${{ matrix.use_smm }} \\\n -DMPI_EXECUTABLE_SUFFIX=.${{ matrix.mpi_suffix }} \\\n -DMPIEXEC_PREFLAGS=\"$([ \"${{ matrix.mpi_suffix }}\" = \"openmpi\" ] && echo \"-mca btl ^openib --allow-run-as-root --oversubscribe\")\" \\\n -DLCOV_ARGS=\"--test-name;${{ matrix.use_mpi }}-${{ matrix.use_openmp }}-${{ matrix.use_smm }}-cpu\" \\\n -DTEST_MPI_RANKS=auto \\\n ..\n\n - name: Build\n run: cmake --build build -- --verbose\n\n - name: Test\n run: |\n cd build\n ctest --output-on-failure\n\n - name: Generate coverage info\n run: |\n cmake --build build -- cov-info\n mv build/coverage.info build/coverage-Linux-${{ matrix.use_mpi }}-${{ matrix.use_openmp }}-${{ matrix.use_smm }}-cpu.info\n\n - name: Upload coverage data\n uses: actions/upload-artifact@v4\n with:\n name: coverage-data-${{ matrix.use_mpi }}-${{ matrix.use_openmp }}-${{ matrix.use_smm }}-${{ matrix.mpi_suffix }}\n path: build/coverage-*.info\n\n - name: Upload coverage data (generated files)\n uses: actions/upload-artifact@v4\n if: matrix.use_mpi == 'MPI=ON' && matrix.use_openmp == 'OPENMP=ON' && matrix.use_smm == 'SMM=blas' && matrix.mpi_suffix == 'openmpi'\n with:\n name: coverage-data-${{ matrix.use_mpi }}-${{ matrix.use_openmp }}-${{ matrix.use_smm }}-${{ matrix.mpi_suffix }}-generated-files\n path: |\n build/src/dbcsr.h\n build/src/tensors/dbcsr_tensor.h\n\n ##################################################################################\n # Build on CUDA\n ##################################################################################\n build-on-cuda:\n runs-on: ubuntu-latest\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04-cuda:develop\n\n strategy:\n matrix:\n use_mpi: [MPI=ON, MPI=OFF]\n use_openmp: [OPENMP=ON]\n mpi_suffix: [mpich]\n\n steps:\n - uses: actions/checkout@v4\n with:\n fetch-depth: 0\n submodules: true\n\n - name: Configure\n run: |\n mkdir -p build\n cd build\n cmake -G Ninja \\\n -DCMAKE_BUILD_TYPE=Debug \\\n -DBUILD_TESTING=ON \\\n -DUSE_${{ matrix.use_mpi }} \\\n -DUSE_${{ matrix.use_openmp }} \\\n -DUSE_ACCEL=cuda \\\n -DWITH_GPU=H100 \\\n -DWITH_EXAMPLES=ON \\\n -DWITH_CUDA_PROFILING=ON \\\n ..\n - name: Build\n run: cmake --build build -- --verbose\n\n ##################################################################################\n # Build on OpenCL\n ##################################################################################\n build-on-opencl:\n runs-on: ubuntu-latest\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04-cuda:develop\n\n strategy:\n matrix:\n use_openmp: [OPENMP=ON]\n use_smm: [SMM=libxsmm]\n\n steps:\n - uses: actions/checkout@v4\n with:\n fetch-depth: 0\n submodules: true\n\n - name: Configure\n run: |\n mkdir -p build\n cd build\n cmake -G Ninja \\\n -DCMAKE_BUILD_TYPE=Debug \\\n -DBUILD_TESTING=ON \\\n -DUSE_${{ matrix.use_openmp }} \\\n -DUSE_${{ matrix.use_smm }} \\\n -DUSE_ACCEL=opencl \\\n -DWITH_EXAMPLES=ON \\\n ..\n - name: Build\n run: cmake --build build -- --verbose\n\n ##################################################################################\n # Build on ROCm\n ##################################################################################\n build-on-rocm:\n runs-on: ubuntu-latest\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-rocm:develop\n\n strategy:\n matrix:\n use_mpi: [MPI=ON, MPI=OFF]\n use_openmp: [OPENMP=ON]\n mpi_suffix: [mpich]\n\n steps:\n - uses: actions/checkout@v4\n with:\n fetch-depth: 0\n submodules: true\n\n - name: Configure\n run: |\n mkdir -p build\n cd build\n cmake -G Ninja \\\n -DCMAKE_BUILD_TYPE=Release \\\n -DBUILD_TESTING=ON \\\n -DUSE_${{ matrix.use_mpi }} \\\n -DUSE_${{ matrix.use_openmp }} \\\n -DUSE_ACCEL=hip \\\n -DWITH_GPU=Mi250 \\\n -DWITH_EXAMPLES=ON \\\n -DCMAKE_PREFIX_PATH=/opt/rocm \\\n ..\n - name: Build\n run: cmake --build build -- --verbose\n\n coverage:\n name: Combine & check coverage.\n runs-on: ubuntu-latest\n needs: build-and-test\n container:\n image: ghcr.io/cp2k/dbcsr-build-env-ubuntu-22.04:develop\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Download coverage data\n uses: actions/download-artifact@v4.1.7\n with:\n pattern: coverage-data-*\n merge-multiple: true\n\n - name: Combine coverage\n run: |\n mkdir -p build/src\n mv dbcsr.h tensors build/src/\n echo *.info | xargs printf -- '-a %s\\n' | xargs lcov -o merged.info\n genhtml merged.info -o htmlcov\n lcov --summary merged.info\n\n - name: Upload merged HTML report\n uses: actions/upload-artifact@v4\n with:\n name: html-report\n path: htmlcov\n\n# vim: set ts=2 sw=2 tw=0 :\n" }, { "path": ".github/workflows/testing-macos.yml", "content": "---\nname: Testing on macOS\non:\n push:\n branches:\n - 'develop'\n pull_request:\n\njobs:\n build-and-test:\n runs-on: macos-latest\n\n strategy:\n matrix:\n use_mpi: [MPI=ON]\n use_openmp: [OPENMP=ON]\n use_smm: [SMM=blas]\n blas_impl: [accelerate,openblas]\n mpi_suffix: [mpich] # Brew openmpi doesn't provide mpi.mod\n\n steps:\n - uses: actions/checkout@v4\n with:\n fetch-depth: 0\n submodules: true\n\n - name: Install common dependencies\n run: |\n env HOMEBREW_NO_AUTO_UPDATE=1 brew install \\\n ninja\n\n - name: Install ${{ matrix.mpi_suffix }}\n run: |\n env HOMEBREW_NO_AUTO_UPDATE=1 brew install ${{ matrix.mpi_suffix }}\n\n - name: Configure\n run: |\n mkdir -p build\n cd build\n env \\\n CC=gcc-15 CXX=g++-15 FC=gfortran-15 \\\n cmake -G Ninja \\\n -DCMAKE_BUILD_TYPE=Release \\\n -DBUILD_TESTING=ON \\\n -DUSE_${{ matrix.use_mpi }} \\\n -DUSE_${{ matrix.use_openmp }} \\\n -DUSE_${{ matrix.use_smm }} \\\n $([ \"${{ matrix.blas_impl }}\" = \"openblas\" ] && echo '-DCMAKE_PREFIX_PATH=/usr/local/opt/openblas') \\\n -DMPIEXEC_PREFLAGS=\"$([ \"${{ matrix.mpi_suffix }}\" = \"openmpi\" ] && echo \"-mca btl ^openib --allow-run-as-root\")\" \\\n -DTEST_MPI_RANKS=auto \\\n ..\n\n - name: Build\n run: cmake --build build -- --verbose\n\n - name: Test\n run: |\n cd build\n ctest --output-on-failure\n\n# vim: set ts=2 sw=2 tw=0 :\n" }, { "path": ".gitignore", "content": "# ignore project specific locations & files\n/lib/\n/obj/\n/bin/\n/doc/\n/install/\n*.callgraph\n\n# exclude personal makefile\n/Makefile.inc.*\n\n# The following covers some more,\n# Created by https://www.gitignore.io/api/vim,emacs,python,fortran\n\n### Emacs ###\n# -*- mode: gitignore; -*-\n*~\n\\#*\\#\n/.emacs.desktop\n/.emacs.desktop.lock\n*.elc\nauto-save-list\ntramp\n.\\#*\n\n# Org-mode\n.org-id-locations\n*_archive\n\n# flymake-mode\n*_flymake.*\n\n# eshell files\n/eshell/history\n/eshell/lastdir\n\n# elpa packages\n/elpa/\n\n# reftex files\n*.rel\n\n# AUCTeX auto folder\n/auto/\n\n# cask packages\n.cask/\ndist/\n\n# Flycheck\nflycheck_*.el\n\n# server auth directory\n/server/\n\n# projectiles files\n.projectile\nprojectile-bookmarks.eld\n\n# directory configuration\n.dir-locals.el\n\n# saveplace\nplaces\n\n# url cache\nurl/cache/\n\n# cedet\nede-projects.el\n\n# smex\nsmex-items\n\n# company-statistics\ncompany-statistics-cache.el\n\n# anaconda-mode\nanaconda-mode/\n\n### Fortran ###\n# Prerequisites\n*.d\n\n# Compiled Object files\n*.slo\n*.lo\n*.o\n*.obj\n\n# Precompiled Headers\n*.gch\n*.pch\n\n# Compiled Dynamic libraries\n*.so\n*.dylib\n*.dll\n\n# Fortran module files\n*.mod\n*.smod\n\n# Compiled Static libraries\n*.lai\n*.la\n*.a\n*.lib\n\n# Executables\n*.exe\n*.out\n*.app\n\n### Python ###\n# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n\n# Distribution / packaging\n.Python\nbuild/\ndevelop-eggs/\ndownloads/\neggs/\n.eggs/\nlib/\nlib64/\nparts/\nsdist/\nvar/\nwheels/\n*.egg-info/\n.installed.cfg\n*.egg\n\n# PyInstaller\n# Usually these files are written by a python script from a template\n# before PyInstaller builds the exe, so as to inject date/other infos into it.\n*.manifest\n*.spec\n\n# Installer logs\npip-log.txt\npip-delete-this-directory.txt\n\n# Unit test / coverage reports\nhtmlcov/\n.tox/\n.coverage\n.coverage.*\n.cache\n.pytest_cache/\nnosetests.xml\ncoverage.xml\n*.cover\n.hypothesis/\n\n# Translations\n*.mo\n*.pot\n\n# Flask stuff:\ninstance/\n.webassets-cache\n\n# Scrapy stuff:\n.scrapy\n\n# Sphinx documentation\ndocs/_build/\n\n# PyBuilder\ntarget/\n\n# Jupyter Notebook\n.ipynb_checkpoints\n\n# pyenv\n.python-version\n\n# celery beat schedule file\ncelerybeat-schedule.*\n\n# SageMath parsed files\n*.sage.py\n\n# Environments\n.env\n.venv\nenv/\nvenv/\nENV/\nenv.bak/\nvenv.bak/\n\n# Spyder project settings\n.spyderproject\n.spyproject\n\n# Rope project settings\n.ropeproject\n\n# mkdocs documentation\n/site\n\n# mypy\n.mypy_cache/\n\n### Vim ###\n# swap\n.sw[a-p]\n.*.sw[a-p]\n# session\nSession.vim\n# temporary\n.netrwhist\n# auto-generated tag files\ntags\n.tags\n.tags_swap\n\n# End of https://www.gitignore.io/api/vim,emacs,python,fortran\n\nspack-*\n\n.ccls-cache/\n\n.DS_Store\n\nBUILD/\n!tools/fedora/dbcsr.spec\n" }, { "path": ".gitmodules", "content": "[submodule \"tools/build_utils/fypp\"]\n\tpath = tools/build_utils/fypp\n\turl = https://github.com/aradi/fypp.git\n" }, { "path": ".packit.yaml", "content": "specfile_path: tools/fedora/dbcsr.spec\nfiles_to_sync:\n - src: tools/fedora/\n dest: ./\n delete: true\n filters:\n - \"protect .git*\"\n - \"protect sources\"\n - \"protect changelog\"\n - .packit.yaml\nupstream_package_name: dbcsr\ndownstream_package_name: dbcsr\nupstream_tag_template: v{version}\n\ntargets:\n - fedora-development-x86_64\n - fedora-development-aarch64\n\n_:\n # Job templates\n - &build-in-packit\n job: copr_build\n - &build-at-lecris\n <<: *build-in-packit\n owner: lecris\n\njobs:\n - <<: *build-at-lecris\n trigger: release\n project: release\n - <<: *build-at-lecris\n trigger: commit\n branch: master\n project: nightly\n - <<: *build-in-packit\n trigger: pull_request\n - job: propose_downstream\n trigger: release\n dist_git_branches:\n - fedora-rawhide\n - job: koji_build\n trigger: commit\n dist_git_branches:\n - fedora-all\n - job: bodhi_update\n trigger: commit\n dist_git_branches:\n - fedora-branched\n" }, { "path": ".pre-commit/check_header.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport argparse\nimport re\nimport mmap\nimport sys\nimport pathlib\nfrom collections import defaultdict\nfrom os import path, listdir\nfrom contextlib import contextmanager\n\nTYPES = {\n \"c_cpp\": [\".c\", \".h\", \".cc\", \".hh\", \".cxx\", \".hxx\", \".cpp\", \".hpp\", \".cu\", \".cl\"],\n \"fortran\": [\".F\", \".f\", \".f90\", \".f03\"],\n \"script\": [\".py\", \".sh\"],\n \"fypp\": [\".fypp\"],\n}\n\n# max number of lines allowed between header and top of file\nALLOWED_LINES = 5\n\n# some assumed max line length to terminate early for large files\nMAX_LINE_LENGTH = 128\n\n\n@contextmanager\ndef mmap_open(name, mode=\"r\"):\n access = mmap.ACCESS_READ if mode == \"r\" else mmap.ACCESS_WRITE\n with open(name, mode + \"b\") as fhandle:\n fmapped = mmap.mmap(fhandle.fileno(), 0, access=access)\n yield fmapped\n fmapped.close()\n\n\ndef check_header(header_dir, files, verbose=False):\n retval = 0\n header_re = defaultdict(list)\n header_len = defaultdict(list)\n\n for headerfile in listdir(header_dir):\n headertype = pathlib.Path(headerfile).stem\n if headertype in TYPES:\n with open(path.join(header_dir, headerfile), \"rb\") as fhandle:\n header_content = fhandle.read()\n header_re[headertype].append(re.compile(re.escape(header_content)))\n header_len[headertype].append(len(header_content))\n else:\n print(\"no matching headerfile to file extensions\")\n sys.exit(1)\n\n ext_map = {e: t for t, exts in TYPES.items() for e in exts}\n\n for fpath in files:\n _, fext = path.splitext(fpath)\n\n if fext not in ext_map:\n if verbose:\n print(\"? {} ... unknown file type, ignoring\".format(fpath))\n continue\n\n with mmap_open(fpath) as fmapped:\n header_type = ext_map[fext]\n for h_re, h_len in zip(header_re[header_type], header_len[header_type]):\n match = h_re.search(fmapped, 0, ALLOWED_LINES * MAX_LINE_LENGTH + h_len)\n if match:\n break\n\n if not match:\n print(\"✗ {} ... required header not found\".format(fpath))\n retval = 1\n continue\n\n lines_above = fmapped[0 : match.start()].splitlines()\n if len(lines_above) > ALLOWED_LINES:\n print(\n \"✗ {} ... header not within first {} lines\".format(\n fpath, ALLOWED_LINES\n )\n )\n retval = 1\n continue\n\n if verbose:\n print(\"✓ {}\".format(fpath))\n\n sys.exit(retval)\n\n\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(description=\"Check files for header presence\")\n parser.add_argument(\n \"files\", metavar=\"FILE\", type=str, nargs=\"+\", help=\"files to check\"\n )\n parser.add_argument(\"--verbose\", \"-v\", action=\"store_true\", default=False)\n args = parser.parse_args()\n\n header_dir = path.join(path.dirname(path.abspath(__file__)), \"headers\")\n check_header(header_dir, args.files, args.verbose)\n" }, { "path": ".pre-commit/clang-format-fypp.sh", "content": "#!/usr/bin/env bash\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\n# clang-format change FYPP directives, need to revert the changes.\n\nfunction sed_darwin()\n{\n sed -i \"\" \"$@\"\n}\n\nfunction sed_linux()\n{\n sed -i \"$@\"\n}\n\nfunction main()\n{\n local files=\"\"\n for i in \"$@\"; do\n case $i in\n -*|--*)\n ;;\n *)\n files+=\"$i \"\n ;;\n esac\n done\n\n clang-format \"$@\"\n # Fix FYPP directives\n uname=\"$(uname -s)\"\n case \"${uname}\" in\n Darwin*)\n sed_fcn=sed_darwin\n ;;\n *)\n sed_fcn=sed_linux\n ;;\n esac\n\n for i in ${files}; do\n ${sed_fcn} -e '/\\${$/ { N; s/\\${\\n[[:space:]]*/\\${/; }' \"$i\"\n ${sed_fcn} -e 's/#[[:space:]]*: /#:/g' -e 's/} \\$/}\\$/g' \"$i\"\n done\n}\n\nmain \"$@\"\n" }, { "path": ".pre-commit/headers/c_cpp.1", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n" }, { "path": ".pre-commit/headers/c_cpp.2", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* Copyright (C) 2022 Advanced Micro Devices, Inc. - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n" }, { "path": ".pre-commit/headers/c_cpp.3", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n" }, { "path": ".pre-commit/headers/fortran.1", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n" }, { "path": ".pre-commit/headers/fortran.2", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! Copyright (C) 2022 Advanced Micro Devices, Inc. - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n" }, { "path": ".pre-commit/headers/fypp.1", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n" }, { "path": ".pre-commit/headers/script.1", "content": "####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n" }, { "path": ".pre-commit/headers/script.2", "content": "####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: BSD-3-Clause #\n####################################################################################################\n" }, { "path": ".pre-commit-config.yaml", "content": "default_language_version:\n python: python3\n\nexclude: '^tools/(build_utils/fypp)'\nfail_fast: false\nminimum_pre_commit_version: 3.2.0\nrepos:\n- repo: https://github.com/astral-sh/ruff-pre-commit\n rev: 'v0.15.13'\n hooks:\n - id: ruff\n args: [ --fix, --exit-non-zero-on-fix ]\n exclude: >-\n (?x)^(\n .cp2k/.*|\n )$\n- repo: https://github.com/psf/black-pre-commit-mirror\n rev: 26.5.0\n hooks:\n - id: black\n name: Reformat Python files with the black code formatter\n files: '^.*(/PACKAGE)|(\\.py)$'\n- repo: https://github.com/pre-commit/pre-commit-hooks\n rev: v6.0.0\n hooks:\n - id: check-ast\n - id: check-yaml\n - id: check-symlinks\n - id: trailing-whitespace\n- repo: https://github.com/fortran-lang/fprettify\n rev: v0.3.7\n hooks:\n - id: fprettify\n- repo: https://github.com/cheshirekow/cmake-format-precommit\n rev: v0.6.13\n hooks:\n - id: cmake-format\n exclude: >-\n (?x)^(\n cmake/(CheckFortranSourceRuns|CompilerConfiguration|Find(BLAS|LAPACK)|GetGitRevisionDescription).cmake|\n )$\n- repo: local\n hooks:\n - id: check-header\n name: check file headers\n entry: ./.pre-commit/check_header.py --verbose\n language: script\n types: [text]\n exclude: >-\n (?x)^(\n tools/.*|\n .cp2k/.*|\n .cmake-format.py|\n src/acc/hip/dbcsr_hip_profiling.F|\n )$\n - id: check-doxygen-tags\n name: no doxygen tags present\n entry: '^\\s*!>'\n language: pygrep\n types: [text]\n - id: clang-format-fypp\n name: clang-format-fypp\n description: Format files with ClangFormat, ignore FYPP directives.\n entry: ./.pre-commit/clang-format-fypp.sh\n language: python\n files: \\.(c|cc|cxx|cpp|cl|frag|glsl|h|hpp|hxx|ih|ispc|ipp|java|js|m|mm|proto|textproto|vert)$\n args: ['-i', '-fallback-style=none', '--style=file']\n # specify version since clang-format is not stable version-to-version\n additional_dependencies: ['clang-format~=19.1.0']\n" }, { "path": ".ruff.toml", "content": "select = [\"E\", \"F\", \"B\"]\nline-length = 128\nignore = [\"B905\"]\n" }, { "path": "AUTHORS", "content": "Alfio Lazzaro \nAndreas Gloeß \nChristian Pousa \nDorothea Golze \nFawzi Mohamed \nFlorian Schiffmann \nGina Sitaraman \nHarald Forbert \nH. Bani-Hashemian \nIain Bethune \nIlia Sivkov \nJan Wilhelm \nJoost VandeVondele \nJuerg Hutter \nLeopold Grinberg \nLianheng Tong \nMarcella Mauri-Iannuzzi \nMatthias Krack \nMaximilien Ambroise \nNico Holmberg \nOle Schuett \nPatrick Seewald \nSamuel Andermatt \nSergey Chulkov \nShoshana Alice Jakobovits \nTeodoro Laino \nThomas Chassaing \nUrban Borstnik \nValery Weber \nVladimir Rybkin \n" }, { "path": "CMakeLists.txt", "content": "cmake_minimum_required(VERSION 3.22)\n\nset(CMAKE_INTERPROCEDURAL_OPTIMIZATION FALSE FORCE)\n\n# include our cmake snippets\nset(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ${CMAKE_CURRENT_SOURCE_DIR}/cmake)\n# DBCSR's source directory\nset(DBCSR_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/src)\n\n# =================================================================================================\n# REQUIRE OUT-OF-SOURCE BUILDS\nfile(TO_CMAKE_PATH \"${PROJECT_BINARY_DIR}/CMakeLists.txt\" LOC_PATH)\nif (EXISTS \"${LOC_PATH}\")\n message(\n FATAL_ERROR\n \"You cannot build in a source directory (or any directory with a CMakeLists.txt file). Please make a build subdirectory.\"\n )\nendif ()\n\n# =================================================================================================\n# PROJECT AND VERSION\ninclude(GetGitRevisionDescription)\n\ngit_describe(GIT_DESC)\n\nif (GIT_DESC)\n string(REGEX REPLACE \"^v([0-9]+)\\\\..*\" \"\\\\1\" VERSION_MAJOR \"${GIT_DESC}\")\n string(REGEX REPLACE \"^v[0-9]+\\\\.([0-9]+).*\" \"\\\\1\" VERSION_MINOR\n \"${GIT_DESC}\")\n string(REGEX REPLACE \"^v[0-9]+\\\\.[0-9]+\\\\.([0-9]+).*\" \"\\\\1\" VERSION_PATCH\n \"${GIT_DESC}\")\n string(REGEX REPLACE \"^v[0-9]+\\\\.[0-9]+\\\\.[0-9]+(.*)\" \"\\\\1\" VERSION_GIT\n \"${GIT_DESC}\")\n\n git_local_changes(GIT_STATE)\n if (\"${GIT_STATE}\" STREQUAL \"DIRTY\")\n set(VERSION_GIT \"${VERSION_GIT}-dirty\")\n endif ()\n\n execute_process(\n COMMAND git log -1 --format=%ai\n WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}\n OUTPUT_VARIABLE GIT_COMMIT_DATE\n OUTPUT_STRIP_TRAILING_WHITESPACE)\n\n # take only the date from the git timestamp:\n string(REGEX REPLACE \"^([0-9\\\\-]+) .*\" \"\\\\1\" VERSION_DATE\n \"${GIT_COMMIT_DATE}\")\nelse ()\n file(STRINGS VERSION VERSION_INFO)\n foreach (line ${VERSION_INFO})\n if (${line} MATCHES \"^([^#].*)=[ \\t]*(.*)$\")\n set(key ${CMAKE_MATCH_1})\n set(value ${CMAKE_MATCH_2})\n string(REGEX REPLACE \"[ \\t\\n]+$\" \"\" key \"${key}\")\n string(REGEX REPLACE \"[ \\t\\n]+$\" \"\" value \"${value}\")\n set(VERSION_${key} \"${value}\")\n continue()\n endif ()\n endforeach ()\nendif ()\n\nproject(\n dbcsr\n DESCRIPTION\n \"DBCSR: Distributed Block Compressed Sparse Row matrix library (https://dbcsr.cp2k.org)\"\n)\nset(dbcsr_VERSION\n ${VERSION_MAJOR}.${VERSION_MINOR}.${VERSION_PATCH}${VERSION_GIT})\nset(dbcsr_APIVERSION ${VERSION_MAJOR}.${VERSION_MINOR})\n\n# =================================================================================================\n# OPTIONS\ninclude(CMakeDependentOption)\n\noption(BUILD_SHARED_LIBS \"Build shared libraries\" OFF)\noption(USE_OPENMP \"Build with OpenMP support\" ON)\noption(USE_MPI \"Build with MPI support\" ON)\noption(USE_MPI_F08 \"Build with the mpi_f08 module support\" OFF)\noption(BUILD_TESTING \"Build dbcsr unit tests\" OFF)\ncmake_dependent_option(\n WITH_C_API \"Build the C API (ISO_C_BINDINGS)\" ON \"USE_MPI\" OFF\n)# the ISO_C_BINDINGS require MPI unconditionally\ncmake_dependent_option(WITH_EXAMPLES \"Build the examples\" ON \"USE_MPI\" OFF\n)# all examples require MPI\n\nset(TEST_MPI_RANKS\n 2\n CACHE STRING \"Number of MPI ranks for testing\")\nset(TEST_OMP_THREADS\n 2\n CACHE STRING \"Number of OpenMP threads for testing\")\n\nset(USE_SMM\n \"auto\"\n CACHE STRING\n \"Small Matrix Multiplication implementation to use (default: auto)\")\nset_property(CACHE USE_SMM PROPERTY STRINGS auto blas libxsmm)\n\nset(USE_ACCEL\n \"\"\n CACHE STRING \"Build with acceleration support (default: none)\")\nset_property(CACHE USE_ACCEL PROPERTY STRINGS \"\" opencl cuda hip)\n\nset(SUPPORTED_CUDA_ARCHITECTURES\n K20X\n K40\n K80\n P100\n V100\n A100\n H100)\nset(SUPPORTED_HIP_ARCHITECTURES Mi50 Mi100 Mi250 Mi300 Mi350)\nset(WITH_GPU\n $,\"\",\"P100\">\n CACHE\n STRING\n \"Select GPU arch. and embed parameters (default: CUDA/HIP=P100, OPENCL=all)\"\n)\nset(WITH_GPU_PARAMS \"${WITH_GPU}\")\nset_property(CACHE WITH_GPU PROPERTY STRINGS ${SUPPORTED_CUDA_ARCHITECTURES}\n ${SUPPORTED_HIP_ARCHITECTURES})\n\noption(WITH_CUDA_PROFILING \"Enable profiling within CUDA\" OFF)\noption(WITH_HIP_PROFILING \"Enable profiling within HIP\" OFF)\n\n# =================================================================================================\n# LANGUAGES AND TESTING\nenable_language(Fortran)\n\nif ((WITH_C_API AND WITH_EXAMPLES) OR (NOT USE_ACCEL MATCHES \"none\"))\n enable_language(CXX)\n enable_language(C)\n\n if (NOT DEFINED CMAKE_CXX_STANDARD)\n set(CMAKE_CXX_STANDARD 14)\n set(CMAKE_CXX_STANDARD_REQUIRED ON)\n endif ()\n\n if (NOT DEFINED CMAKE_C_STANDARD)\n set(CMAKE_C_STANDARD 11)\n set(CMAKE_C_STANDARD_REQUIRED ON)\n endif ()\n\nendif ()\n\n# =================================== OpenMP\nif (USE_OPENMP)\n find_package(OpenMP REQUIRED)\nendif ()\n\n# =================================== LIBXSMM (rely on pkg-config)\nif (USE_SMM MATCHES \"libxsmm|auto\")\n if (USE_SMM MATCHES \"libxsmm\")\n set(LIBXSMM_REQUIRED \"REQUIRED\")\n endif ()\n find_package(PkgConfig ${LIBXSMM_REQUIRED})\n if (USE_OPENMP)\n if (BUILD_SHARED_LIBS OR USE_SMM MATCHES \"libxsmm-shared\")\n pkg_check_modules(LIBXSMMEXT IMPORTED_TARGET GLOBAL libxsmmext-shared)\n else ()\n pkg_check_modules(LIBXSMMEXT IMPORTED_TARGET GLOBAL libxsmmext-static)\n endif ()\n if (NOT LIBXSMMEXT_FOUND)\n pkg_check_modules(LIBXSMMEXT ${LIBXSMM_REQUIRED} IMPORTED_TARGET GLOBAL\n libxsmmext)\n endif ()\n endif ()\n if (BUILD_SHARED_LIBS OR USE_SMM MATCHES \"libxsmm-shared\")\n pkg_check_modules(LIBXSMM IMPORTED_TARGET GLOBAL libxsmmf-shared)\n else ()\n pkg_check_modules(LIBXSMM IMPORTED_TARGET GLOBAL libxsmmf-static)\n endif ()\n if (NOT LIBXSMM_FOUND)\n pkg_check_modules(LIBXSMM ${LIBXSMM_REQUIRED} IMPORTED_TARGET GLOBAL\n libxsmmf)\n endif ()\nendif ()\n\n# =================================== SMM (Small Matrix-Matrix multiplication)\nif (USE_SMM MATCHES \"blas\" OR (USE_SMM MATCHES \"auto\" AND NOT LIBXSMM_FOUND))\n if (USE_ACCEL MATCHES \"opencl\")\n message(FATAL_ERROR \"OpenCL requires USE_SMM=libxsmm\")\n endif ()\n message(STATUS \"Using BLAS for Small Matrix Multiplication\")\nelseif (USE_SMM MATCHES \"libxsmm\" OR USE_SMM MATCHES \"auto\")\n message(STATUS \"Using libxsmm for Small Matrix Multiplication\")\nelse ()\n message(FATAL_ERROR \"Unknown SMM library specified\")\nendif ()\n\n# =================================== BLAS & LAPACK, PkgConfig\nfind_package(LAPACK REQUIRED) # needed for some of the integrated test routines,\n # also calls find_package(BLAS)\n\n# =================================== Python this module looks preferably for\n# version 3 of Python. If not found, version 2 is searched. In CMake 3.15, if a\n# python virtual environment is activated, it will search the virtual\n# environment for a python interpreter before searching elsewhere in the system.\n# In CMake <3.15, the system is searched before the virtual environment.\nif (NOT Python_EXECUTABLE)\n # If the python interpreter is not specified (command line), try finding it:\n find_package(\n Python\n COMPONENTS Interpreter\n REQUIRED)\nendif ()\n\n# =================================== MPI\nif (USE_MPI)\n get_property(REQUIRED_MPI_COMPONENTS GLOBAL PROPERTY ENABLED_LANGUAGES)\n if (NOT CMAKE_CROSSCOMPILING) # when cross compiling, assume the users know\n # what they are doing\n set(MPI_DETERMINE_LIBRARY_VERSION TRUE)\n endif ()\n find_package(\n MPI\n COMPONENTS ${REQUIRED_MPI_COMPONENTS}\n REQUIRED)\n\n if (NOT MPI_Fortran_HAVE_F90_MODULE)\n message(\n FATAL_ERROR\n \"\\\nThe listed MPI implementation does not provide the required mpi.mod interface. \\\nWhen using the GNU compiler in combination with Intel MPI, please use the \\\nIntel MPI compiler wrappers. Check the INSTALL.md for more information.\")\n endif ()\n if (USE_MPI_F08)\n if (NOT MPI_Fortran_HAVE_F08_MODULE)\n message(\n FATAL_ERROR\n \"The listed MPI implementation does not provide the required mpi_f08.mod interface.\"\n )\n endif ()\n endif ()\n if (\"${MPI_Fortran_LIBRARY_VERSION_STRING}\" MATCHES \"Open MPI v2.1\"\n OR \"${MPI_Fortran_LIBRARY_VERSION_STRING}\" MATCHES \"Open MPI v3.1\")\n message(\n WARNING\n \"RMA with ${MPI_Fortran_LIBRARY_VERSION_STRING} is not supported due to issues with its implementation.\"\n \" Please use a newer version of OpenMPI or switch to MPICH if you plan on using MPI-RMA.\"\n )\n endif ()\nendif ()\n\n# =================================== GPU backends\n\nif (NOT USE_ACCEL MATCHES \"none\")\n set(DBCSR_ACC_HEADER acc/acc.h acc/acc_bench.h acc/acc_libsmm.h)\nendif ()\n\nif (USE_ACCEL MATCHES \"opencl\")\n find_package(OpenCL REQUIRED)\n\n set(DBCSR_OPENCL_SCRIPT ${DBCSR_SOURCE_DIR}/acc/opencl/acc_opencl.sh)\n set(DBCSR_OPENCL_COMMON acc/opencl/common/opencl_atomics.h\n acc/opencl/common/opencl_common.h)\n list(APPEND DBCSR_ACC_HEADER acc/opencl/smm/opencl_libsmm.h\n acc/opencl/acc_opencl.h)\nendif ()\n\nif (USE_ACCEL MATCHES \"cuda|hip\")\n set(GPU_ARCH_NUMBER_K20X 35)\n set(GPU_ARCH_NUMBER_K40 35)\n set(GPU_ARCH_NUMBER_K80 37)\n set(GPU_ARCH_NUMBER_P100 60)\n set(GPU_ARCH_NUMBER_V100 70)\n set(GPU_ARCH_NUMBER_A100 80)\n set(GPU_ARCH_NUMBER_H100 90)\n set(GPU_ARCH_NUMBER_Mi50 gfx906)\n set(GPU_ARCH_NUMBER_Mi100 gfx908)\n set(GPU_ARCH_NUMBER_Mi250 gfx90a)\n set(GPU_ARCH_NUMBER_Mi300 gfx942)\n set(GPU_ARCH_NUMBER_Mi350 gfx950)\nendif ()\n\nif (USE_ACCEL MATCHES \"cuda\")\n enable_language(CUDA)\n find_package(CUDAToolkit REQUIRED)\n\n if (NOT DEFINED CMAKE_CUDA_STANDARD)\n set(CMAKE_CUDA_STANDARD 14)\n set(CMAKE_CUDA_STANDARD_REQUIRED ON)\n endif ()\n\n if (CUDAToolkit_VERSION LESS 5.5)\n message(FATAL_ERROR \"CUDA version >= 5.5 is required.\")\n endif ()\n\n # Make sure the GPU required is supported\n list(FIND SUPPORTED_CUDA_ARCHITECTURES ${WITH_GPU} GPU_SUPPORTED)\n if (GPU_SUPPORTED EQUAL -1)\n message(\n FATAL_ERROR \"GPU architecture requested (${WITH_GPU}) is not supported. \"\n \"Please choose from: ${SUPPORTED_CUDA_ARCHITECTURES}\")\n endif ()\n\n # set cuda architecture number and compilation flags\n set(ACC_ARCH_NUMBER ${GPU_ARCH_NUMBER_${WITH_GPU}})\n\n message(STATUS \"GPU target architecture: \" ${WITH_GPU})\n message(STATUS \"Kernel parameters: \" ${WITH_GPU_PARAMS})\n message(STATUS \"GPU architecture number: \" ${ACC_ARCH_NUMBER})\n message(STATUS \"GPU profiling enabled: \" ${WITH_CUDA_PROFILING})\nendif ()\n\nif (USE_ACCEL MATCHES \"hip\")\n if (NOT CMAKE_HIP_ARCHITECTURES)\n set(CMAKE_HIP_ARCHITECTURES OFF)\n endif ()\n enable_language(HIP)\n\n if (NOT DEFINED CMAKE_HIP_STANDARD)\n set(CMAKE_HIP_STANDARD 14)\n set(CMAKE_HIP_STANDARD_REQUIRED ON)\n endif ()\n\n # Make sure the GPU required is supported\n list(FIND SUPPORTED_HIP_ARCHITECTURES ${WITH_GPU} GPU_SUPPORTED)\n if (GPU_SUPPORTED EQUAL -1)\n message(\n FATAL_ERROR \"GPU architecture requested (${WITH_GPU}) is not supported. \"\n \"Please choose from: ${SUPPORTED_HIP_ARCHITECTURES}\")\n endif ()\n\n # ROCm is typically installed in /opt/rocm; otherwise let the user set\n # ROCM_PATH as an environment variable or define.\n if (NOT DEFINED ROCM_PATH)\n if (NOT DEFINED ENV{ROCM_PATH})\n set(ROCM_PATH\n \"/opt/rocm\"\n CACHE PATH \"Path to ROCm installation\")\n else ()\n set(ROCM_PATH\n $ENV{ROCM_PATH}\n CACHE PATH \"Path to ROCm installation\")\n endif ()\n endif ()\n\n # Notice: this is not FindHIP.cmake for hip language support, but\n # hip-config.cmake which contains targets like hip::host for jitting.\n find_package(hip CONFIG REQUIRED HINTS ${ROCM_PATH})\n\n message(STATUS \"Build with HIP ${hip_VERSION}\")\n if (hip_VERSION LESS 4.4.0)\n message(FATAL_ERROR \"HIP version >= 4.4.0 is required.\")\n endif ()\n\n set(ACC_ARCH_NUMBER ${GPU_ARCH_NUMBER_${WITH_GPU}})\n message(STATUS \"GPU target architecture: \" ${WITH_GPU})\n message(STATUS \"Kernel parameters: \" ${WITH_GPU_PARAMS})\n message(STATUS \"GPU architecture number: \" ${ACC_ARCH_NUMBER})\n message(STATUS \"GPU profiling enabled: \" ${WITH_HIP_PROFILING})\n\n # =================================== BLAS on GPU backend\n find_package(hipblas CONFIG REQUIRED HINTS ${ROCM_PATH})\n\n # =================================== HIPRTC\n find_package(hiprtc REQUIRED)\nendif ()\n\n# =================================================================================================\n# OPTION HANDLING\n\n# make sure that the default build type is RELEASE\nset(default_build_type \"Release\")\nif (NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES)\n message(\n STATUS\n \"Setting build type to '${default_build_type}' as none was specified.\")\n set(CMAKE_BUILD_TYPE\n \"${default_build_type}\"\n CACHE STRING\n \"Choose the type of build, options are: Debug Release Coverage.\"\n FORCE)\n # set the possible values of build type for cmake-gui\n set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS \"Debug\" \"Release\"\n \"Coverage\")\nendif ()\n\n# compiler configuration could have impacted package discovery (above)\ninclude(CompilerConfiguration)\ninclude(CheckCompilerSupport)\n\n# subdirectories\nadd_subdirectory(${DBCSR_SOURCE_DIR})\n\nif (BUILD_TESTING)\n include(CTest)\n add_subdirectory(tests)\nendif ()\n\nif (WITH_EXAMPLES)\n add_subdirectory(examples)\nendif ()\n\nadd_subdirectory(docs)\n\ninclude(CustomTargets)\n\n# Disable LTO\nset(CMAKE_INTERPROCEDURAL_OPTIMIZATION FALSE FORCE)\n" }, { "path": "CONTRIBUTING.md", "content": "# Contributing to DBCSR\nThe core of DBCSR is written in Fortran. All other languages must be supported through bindings.\n\nThere is a single [API](./src/dbcsr_api.F) file for DBCSR, which is provided for external usage only. **Do not use the API for any internal DBCSR development!** Packages build on top of DBCSR, for example [DBCSR Tensors](./src/tensors), **must only use** the DBCSR API. Note that any change in the APIs will require a major release of the library.\n\nWe support CMake for compilation, please keep the build system updated when adding/removing files. When adding new functions, it is extremely important to provide simple test programs, aka \"unit tests\", to check whether these functions are performing as they should. The directory [test](./tests) serves as infrastructure for that. If you do not feel comfortable integrating these tests with the build system, please notify the other developers.\n\nHaving examples (under the directory [examples](./examples)) is also appreciated. They must be independent of the DBCSR compilation and only use the DBCSR APIs.\n\nDBCSR developers can find additional information on the [Development](https://github.com/cp2k/dbcsr/wiki/Development) wiki page.\n\n## Fortran Code conventions\n\nThe code is automatically formatted (via pre-commit hooks) by the [prettify tool](https://github.com/pseewald/fprettify/).\n\nPlease make sure that you follow the following code conventions (based on [CP2K conventions](https://www.cp2k.org/dev:codingconventions)):\n1. Every `USE` statement should have an `ONLY:` clause, which lists the imported symbols.\n2. Every `OMP PARALLEL` region should declare `default(none)`.\n3. Every static variable should be marked with the `SAVE` attribute.\n4. Every Fortran module should contain the line `IMPLICIT NONE`.\n5. Every conversion that might change value should be explicit.\n6. Each `.F` file should contain either a `PROGRAM` or a single `MODULE`, whose name must start with the `dbcsr_` suffix and matches the filename. Then, it should start with the DBCSR header. Note that the name of the modules must be unique, even across different directories!\n7. Use the routines from [MPI wrappers](./src/mpi) instead of calling MPI directly.\n8. Don't use `UNIT=*` in `WRITE` or `PRINT` statements. Instead, request a unit from the logger: `iw=dbcsr_logger_get_default_unit_nr()` and write only if you actually received a unit: `IF(iw>0) WRITE (UNIT=iw, ,,,)`.\n9. Avoid to use `STOP`. Prefer the DBCSR error handlers: `DBCSR_WARN`, `DBCSR_ABORT`, `DBCSR_ASSERT`.\n10. Each preprocessor flag should start with two underscores and be documented in the [documentation](./docs/guide/3-developer-guide/3-programming/1-overview/index.md#list-of-macros-used-in-the-code).\n11. All routines in the API must start with the `dbcsr_` namespace. For submodules API (e.g. [DBCSR Tensors](./src/tensors)), each function has to start with the `dbcsr__` namespace.\n12. If you are including files (i.e. macro `#include`), note that the base directory is `src`, please use relative path to it (e.g. `#include \"base/dbcsr_base_uses.f90\"` instead of `#include \"../base/dbcsr_base_uses.f90\"`).\n13. All Fortran keywords (`FUNCTION`, `SUBROUTINE`, data types...) must be in capital letters.\n\n**Most important, please avoid committing dead code and useless comments!**\n" }, { "path": "DBCSR.md", "content": "---\nproject: DBCSR\nproject_github: https://github.com/cp2k/dbcsr\nproject_download: https://github.com/cp2k/dbcsr/releases\nproject_website: https://dbcsr.cp2k.org\nsummary: ![DBCSR](media/logo/logo.png)\n {: style=\"text-align: center\"}\nauthor: DBCSR Authors\ngithub: https://github.com/cp2k/dbcsr/blob/master/AUTHORS\nfpp_extensions: F\nfixed_extensions:\nextensions: F\npreprocessor: cpp -traditional-cpp -E -Wno-invalid-pp-token\ninclude: ../src\npredocmark: >\nmedia_dir: @CMAKE_SOURCE_DIR@/docs/media\nmd_base_dir: @CMAKE_SOURCE_DIR@\npage_dir: @CMAKE_SOURCE_DIR@/docs/guide\nsrc_dir: ./src\n ./tests\n ./examples\noutput_dir: @CMAKE_BINARY_DIR@/doc\ndocmark_alt: #\npredocmark_alt: <\ndisplay: public\n protected\n private\nsource: true\ngraph: false\nsearch: false\nfavicon: @CMAKE_SOURCE_DIR@/docs/media/logo/logo.png\nversion: @dbcsr_VERSION@\nexclude: Makefile\nextra_filetypes: cpp #\n---\n\n--------------------\n\nDBCSR stands for **D**istributed **B**locked **C**ompressed **S**parse **R**ow.\n\nDBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations.\n\nIt is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP.\n\nTo get started with DBCSR, go to\n\n- [Installation guide](page/2-user-guide/1-installation/index.html)\n- [User guide](page/2-user-guide/index.html)\n- [Developer guide](page/3-developer-guide/index.html)\n\nLicense\n-------\n\nDBCSR's source code and related files and documentation are distributed under GPL. See the [LICENSE](https://github.com/cp2k/dbcsr/blob/develop/LICENSE) file for more details.\n\nHow to cite\n-----------------\n\nTo cite DBCSR, use the following paper\n\n```latex\n@article{dbcsr,\n\ttitle = {{Sparse Matrix Multiplication: The Distributed Block-Compressed Sparse Row Library}},\n\tjournal = {Parallel Computing},\n\tvolume = {40},\n\tnumber = {5-6},\n\tyear = {2014},\n\tissn = {0167-8191},\n\tauthor = {Urban Borstnik and Joost VandeVondele and Valery Weber and Juerg Hutter}\n}\n```\n\nTo cite the DBCSR software library, use:\n\n```latex\n@misc{dbcsr-software,\n\tauthor = {The CP2K Developers Group},\n\ttitle = {{DBCSR: Distributed Block Compressed Sparse Row matrix library}},\n\tpublisher = {GitHub},\n\tjournal = {GitHub repository},\n\tyear = {2020},\n\turl = {https://github.com/cp2k/dbcsr}\n}\n```\n\nContributing\n-----------------\n\nYour contribution to the project is welcome! Please see [DBCSR's contribution guidelines](https://github.com/cp2k/dbcsr/blob/develop/CONTRIBUTING.md) and [this wiki page](https://github.com/cp2k/dbcsr/wiki/Development).\n" }, { "path": "LICENSE", "content": " GNU GENERAL PUBLIC LICENSE\n Version 2, June 1991\n\n Copyright (C) 1989, 1991 Free Software Foundation, Inc.,\n 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA\n Everyone is permitted to copy and distribute verbatim copies\n of this license document, but changing it is not allowed.\n\n Preamble\n\n The licenses for most software are designed to take away your\nfreedom to share and change it. By contrast, the GNU General Public\nLicense is intended to guarantee your freedom to share and change free\nsoftware--to make sure the software is free for all its users. This\nGeneral Public License applies to most of the Free Software\nFoundation's software and to any other program whose authors commit to\nusing it. (Some other Free Software Foundation software is covered by\nthe GNU Lesser General Public License instead.) You can apply it to\nyour programs, too.\n\n When we speak of free software, we are referring to freedom, not\nprice. Our General Public Licenses are designed to make sure that you\nhave the freedom to distribute copies of free software (and charge for\nthis service if you wish), that you receive source code or can get it\nif you want it, that you can change the software or use pieces of it\nin new free programs; and that you know you can do these things.\n\n To protect your rights, we need to make restrictions that forbid\nanyone to deny you these rights or to ask you to surrender the rights.\nThese restrictions translate to certain responsibilities for you if you\ndistribute copies of the software, or if you modify it.\n\n For example, if you distribute copies of such a program, whether\ngratis or for a fee, you must give the recipients all the rights that\nyou have. You must make sure that they, too, receive or can get the\nsource code. And you must show them these terms so they know their\nrights.\n\n We protect your rights with two steps: (1) copyright the software, and\n(2) offer you this license which gives you legal permission to copy,\ndistribute and/or modify the software.\n\n Also, for each author's protection and ours, we want to make certain\nthat everyone understands that there is no warranty for this free\nsoftware. If the software is modified by someone else and passed on, we\nwant its recipients to know that what they have is not the original, so\nthat any problems introduced by others will not reflect on the original\nauthors' reputations.\n\n Finally, any free program is threatened constantly by software\npatents. We wish to avoid the danger that redistributors of a free\nprogram will individually obtain patent licenses, in effect making the\nprogram proprietary. To prevent this, we have made it clear that any\npatent must be licensed for everyone's free use or not licensed at all.\n\n The precise terms and conditions for copying, distribution and\nmodification follow.\n\n GNU GENERAL PUBLIC LICENSE\n TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION\n\n 0. This License applies to any program or other work which contains\na notice placed by the copyright holder saying it may be distributed\nunder the terms of this General Public License. The \"Program\", below,\nrefers to any such program or work, and a \"work based on the Program\"\nmeans either the Program or any derivative work under copyright law:\nthat is to say, a work containing the Program or a portion of it,\neither verbatim or with modifications and/or translated into another\nlanguage. (Hereinafter, translation is included without limitation in\nthe term \"modification\".) Each licensee is addressed as \"you\".\n\nActivities other than copying, distribution and modification are not\ncovered by this License; they are outside its scope. The act of\nrunning the Program is not restricted, and the output from the Program\nis covered only if its contents constitute a work based on the\nProgram (independent of having been made by running the Program).\nWhether that is true depends on what the Program does.\n\n 1. You may copy and distribute verbatim copies of the Program's\nsource code as you receive it, in any medium, provided that you\nconspicuously and appropriately publish on each copy an appropriate\ncopyright notice and disclaimer of warranty; keep intact all the\nnotices that refer to this License and to the absence of any warranty;\nand give any other recipients of the Program a copy of this License\nalong with the Program.\n\nYou may charge a fee for the physical act of transferring a copy, and\nyou may at your option offer warranty protection in exchange for a fee.\n\n 2. You may modify your copy or copies of the Program or any portion\nof it, thus forming a work based on the Program, and copy and\ndistribute such modifications or work under the terms of Section 1\nabove, provided that you also meet all of these conditions:\n\n a) You must cause the modified files to carry prominent notices\n stating that you changed the files and the date of any change.\n\n b) You must cause any work that you distribute or publish, that in\n whole or in part contains or is derived from the Program or any\n part thereof, to be licensed as a whole at no charge to all third\n parties under the terms of this License.\n\n c) If the modified program normally reads commands interactively\n when run, you must cause it, when started running for such\n interactive use in the most ordinary way, to print or display an\n announcement including an appropriate copyright notice and a\n notice that there is no warranty (or else, saying that you provide\n a warranty) and that users may redistribute the program under\n these conditions, and telling the user how to view a copy of this\n License. (Exception: if the Program itself is interactive but\n does not normally print such an announcement, your work based on\n the Program is not required to print an announcement.)\n\nThese requirements apply to the modified work as a whole. If\nidentifiable sections of that work are not derived from the Program,\nand can be reasonably considered independent and separate works in\nthemselves, then this License, and its terms, do not apply to those\nsections when you distribute them as separate works. But when you\ndistribute the same sections as part of a whole which is a work based\non the Program, the distribution of the whole must be on the terms of\nthis License, whose permissions for other licensees extend to the\nentire whole, and thus to each and every part regardless of who wrote it.\n\nThus, it is not the intent of this section to claim rights or contest\nyour rights to work written entirely by you; rather, the intent is to\nexercise the right to control the distribution of derivative or\ncollective works based on the Program.\n\nIn addition, mere aggregation of another work not based on the Program\nwith the Program (or with a work based on the Program) on a volume of\na storage or distribution medium does not bring the other work under\nthe scope of this License.\n\n 3. You may copy and distribute the Program (or a work based on it,\nunder Section 2) in object code or executable form under the terms of\nSections 1 and 2 above provided that you also do one of the following:\n\n a) Accompany it with the complete corresponding machine-readable\n source code, which must be distributed under the terms of Sections\n 1 and 2 above on a medium customarily used for software interchange; or,\n\n b) Accompany it with a written offer, valid for at least three\n years, to give any third party, for a charge no more than your\n cost of physically performing source distribution, a complete\n machine-readable copy of the corresponding source code, to be\n distributed under the terms of Sections 1 and 2 above on a medium\n customarily used for software interchange; or,\n\n c) Accompany it with the information you received as to the offer\n to distribute corresponding source code. (This alternative is\n allowed only for noncommercial distribution and only if you\n received the program in object code or executable form with such\n an offer, in accord with Subsection b above.)\n\nThe source code for a work means the preferred form of the work for\nmaking modifications to it. For an executable work, complete source\ncode means all the source code for all modules it contains, plus any\nassociated interface definition files, plus the scripts used to\ncontrol compilation and installation of the executable. However, as a\nspecial exception, the source code distributed need not include\nanything that is normally distributed (in either source or binary\nform) with the major components (compiler, kernel, and so on) of the\noperating system on which the executable runs, unless that component\nitself accompanies the executable.\n\nIf distribution of executable or object code is made by offering\naccess to copy from a designated place, then offering equivalent\naccess to copy the source code from the same place counts as\ndistribution of the source code, even though third parties are not\ncompelled to copy the source along with the object code.\n\n 4. You may not copy, modify, sublicense, or distribute the Program\nexcept as expressly provided under this License. Any attempt\notherwise to copy, modify, sublicense or distribute the Program is\nvoid, and will automatically terminate your rights under this License.\nHowever, parties who have received copies, or rights, from you under\nthis License will not have their licenses terminated so long as such\nparties remain in full compliance.\n\n 5. You are not required to accept this License, since you have not\nsigned it. However, nothing else grants you permission to modify or\ndistribute the Program or its derivative works. These actions are\nprohibited by law if you do not accept this License. Therefore, by\nmodifying or distributing the Program (or any work based on the\nProgram), you indicate your acceptance of this License to do so, and\nall its terms and conditions for copying, distributing or modifying\nthe Program or works based on it.\n\n 6. Each time you redistribute the Program (or any work based on the\nProgram), the recipient automatically receives a license from the\noriginal licensor to copy, distribute or modify the Program subject to\nthese terms and conditions. You may not impose any further\nrestrictions on the recipients' exercise of the rights granted herein.\nYou are not responsible for enforcing compliance by third parties to\nthis License.\n\n 7. If, as a consequence of a court judgment or allegation of patent\ninfringement or for any other reason (not limited to patent issues),\nconditions are imposed on you (whether by court order, agreement or\notherwise) that contradict the conditions of this License, they do not\nexcuse you from the conditions of this License. If you cannot\ndistribute so as to satisfy simultaneously your obligations under this\nLicense and any other pertinent obligations, then as a consequence you\nmay not distribute the Program at all. For example, if a patent\nlicense would not permit royalty-free redistribution of the Program by\nall those who receive copies directly or indirectly through you, then\nthe only way you could satisfy both it and this License would be to\nrefrain entirely from distribution of the Program.\n\nIf any portion of this section is held invalid or unenforceable under\nany particular circumstance, the balance of the section is intended to\napply and the section as a whole is intended to apply in other\ncircumstances.\n\nIt is not the purpose of this section to induce you to infringe any\npatents or other property right claims or to contest validity of any\nsuch claims; this section has the sole purpose of protecting the\nintegrity of the free software distribution system, which is\nimplemented by public license practices. Many people have made\ngenerous contributions to the wide range of software distributed\nthrough that system in reliance on consistent application of that\nsystem; it is up to the author/donor to decide if he or she is willing\nto distribute software through any other system and a licensee cannot\nimpose that choice.\n\nThis section is intended to make thoroughly clear what is believed to\nbe a consequence of the rest of this License.\n\n 8. If the distribution and/or use of the Program is restricted in\ncertain countries either by patents or by copyrighted interfaces, the\noriginal copyright holder who places the Program under this License\nmay add an explicit geographical distribution limitation excluding\nthose countries, so that distribution is permitted only in or among\ncountries not thus excluded. In such case, this License incorporates\nthe limitation as if written in the body of this License.\n\n 9. The Free Software Foundation may publish revised and/or new versions\nof the General Public License from time to time. Such new versions will\nbe similar in spirit to the present version, but may differ in detail to\naddress new problems or concerns.\n\nEach version is given a distinguishing version number. If the Program\nspecifies a version number of this License which applies to it and \"any\nlater version\", you have the option of following the terms and conditions\neither of that version or of any later version published by the Free\nSoftware Foundation. If the Program does not specify a version number of\nthis License, you may choose any version ever published by the Free Software\nFoundation.\n\n 10. If you wish to incorporate parts of the Program into other free\nprograms whose distribution conditions are different, write to the author\nto ask for permission. For software which is copyrighted by the Free\nSoftware Foundation, write to the Free Software Foundation; we sometimes\nmake exceptions for this. Our decision will be guided by the two goals\nof preserving the free status of all derivatives of our free software and\nof promoting the sharing and reuse of software generally.\n\n NO WARRANTY\n\n 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY\nFOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN\nOTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES\nPROVIDE THE PROGRAM \"AS IS\" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED\nOR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF\nMERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS\nTO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE\nPROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING,\nREPAIR OR CORRECTION.\n\n 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING\nWILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR\nREDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES,\nINCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING\nOUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED\nTO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY\nYOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER\nPROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE\nPOSSIBILITY OF SUCH DAMAGES.\n\n END OF TERMS AND CONDITIONS\n\n How to Apply These Terms to Your New Programs\n\n If you develop a new program, and you want it to be of the greatest\npossible use to the public, the best way to achieve this is to make it\nfree software which everyone can redistribute and change under these terms.\n\n To do so, attach the following notices to the program. It is safest\nto attach them to the start of each source file to most effectively\nconvey the exclusion of warranty; and each file should have at least\nthe \"copyright\" line and a pointer to where the full notice is found.\n\n DBCSR: Distributed Block Compressed Sparse Row matrix library\n Copyright (C) by the DBCSR developers group - All rights reserved\n\n This program is free software; you can redistribute it and/or modify\n it under the terms of the GNU General Public License as published by\n the Free Software Foundation; either version 2 of the License, or\n (at your option) any later version.\n\n This program is distributed in the hope that it will be useful,\n but WITHOUT ANY WARRANTY; without even the implied warranty of\n MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n GNU General Public License for more details.\n\n You should have received a copy of the GNU General Public License along\n with this program; if not, write to the Free Software Foundation, Inc.,\n 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n\nAlso add information on how to contact you by electronic and paper mail.\n\nIf the program is interactive, make it output a short notice like this\nwhen it starts in an interactive mode:\n\n Gnomovision version 69, Copyright (C) year name of author\n Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'.\n This is free software, and you are welcome to redistribute it\n under certain conditions; type `show c' for details.\n\nThe hypothetical commands `show w' and `show c' should show the appropriate\nparts of the General Public License. Of course, the commands you use may\nbe called something other than `show w' and `show c'; they could even be\nmouse-clicks or menu items--whatever suits your program.\n\nYou should also get your employer (if you work as a programmer) or your\nschool, if any, to sign a \"copyright disclaimer\" for the program, if\nnecessary. Here is a sample; alter the names:\n\n Yoyodyne, Inc., hereby disclaims all copyright interest in the program\n `Gnomovision' (which makes passes at compilers) written by James Hacker.\n\n , 1 April 1989\n Ty Coon, President of Vice\n\nThis General Public License does not permit incorporating your program into\nproprietary programs. If your program is a subroutine library, you may\nconsider it more useful to permit linking proprietary applications with the\nlibrary. If this is what you want to do, use the GNU Lesser General\nPublic License instead of this License.\n" }, { "path": "README.md", "content": "# DBCSR: Distributed Block Compressed Sparse Row matrix library\n\n[![Build Status Linux](https://github.com/cp2k/dbcsr/actions/workflows/testing-linux.yml/badge.svg)](https://github.com/cp2k/dbcsr/actions/workflows/testing-linux.yml) [![Build Status MacOS](https://github.com/cp2k/dbcsr/actions/workflows/testing-macos.yml/badge.svg)](https://github.com/cp2k/dbcsr/actions/workflows/testing-macos.yml) [![Build Status Latest GCC](https://github.com/cp2k/dbcsr/actions/workflows/testing-gcc.yml/badge.svg)](https://github.com/cp2k/dbcsr/actions/workflows/testing-gcc.yml)\n\n\n[![codecov](https://codecov.io/gh/cp2k/dbcsr/branch/develop/graph/badge.svg)](https://codecov.io/gh/cp2k/dbcsr)\n[![Licence](https://img.shields.io/badge/license-GPL%20v2.0-blue.svg)](./LICENSE)\n[![GitHub Releases](https://img.shields.io/github/release-pre/cp2k/dbcsr.svg)](https://github.com/cp2k/dbcsr/releases)\n\nDBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations.\nIt is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP.\n\n

\n\n

\n\n## How to Install\n\nFollow the [installation guide](https://cp2k.github.io/dbcsr/develop/page/2-user-guide/1-installation/index.html).\n\n## Documentation\n\nDocumentation is [available online](https://cp2k.github.io/dbcsr/) for the latest release.\n\n## How to Cite\n\nTo cite DBCSR, use the following paper\n\n```latex\n@article{dbcsr,\n\ttitle = {{Sparse Matrix Multiplication: The Distributed Block-Compressed Sparse Row Library}},\n\tjournal = {Parallel Computing},\n\tvolume = {40},\n\tnumber = {5-6},\n\tyear = {2014},\n\tissn = {0167-8191},\n\tauthor = {Urban Borstnik and Joost VandeVondele and Valery Weber and Juerg Hutter}\n}\n```\n\nTo cite the DBCSR software library, use:\n\n```latex\n@misc{dbcsr-software,\n\tauthor = {The CP2K Developers Group},\n\ttitle = {{DBCSR: Distributed Block Compressed Sparse Row matrix library}},\n\tpublisher = {GitHub},\n\tjournal = {GitHub repository},\n\tyear = {2022},\n\turl = {https://github.com/cp2k/dbcsr}\n}\n```\n\n## Contributing to DBCSR\n\nYour contribution to the project is welcome!\nPlease see [DBCSR's contribution guidelines](./CONTRIBUTING.md) and this [wiki page](https://github.com/cp2k/dbcsr/wiki/Development). For any help, please notify the other developers.\n" }, { "path": "VERSION", "content": "MAJOR = 2\nMINOR = 9\nPATCH = 1\n# A specific DATE (YYYY-MM-DD) fixes an official release, otherwise\n# it is considered Development version.\nDATE = 2025-12-19\n\n\n" }, { "path": "cmake/CheckCompilerSupport.cmake", "content": "include(CheckFortranSourceCompiles)\n\nset(CHECK_PROGRAMS f2008-norm2.f90 f2008-block_construct.f90\n f2008-contiguous.f90 f95-reshape-order-allocatable.f90)\n\nset(_saved_fortran_flags \"${CMAKE_Fortran_FLAGS}\")\nset(CMAKE_Fortran_FLAGS \"\")\nset(CMAKE_TRY_COMPILE_TARGET_TYPE STATIC_LIBRARY)\nforeach (prog ${CHECK_PROGRAMS})\n get_filename_component(prog_ext ${prog} EXT) # get the src extension to pass\n # along\n get_filename_component(prog_name ${prog} NAME_WE)\n\n file(READ \"${CMAKE_CURRENT_LIST_DIR}/compiler-tests/${prog}\" prog_src)\n CHECK_Fortran_SOURCE_COMPILES(\"${prog_src}\" \"${prog_name}\" SRC_EXT\n \"${prog_ext}\")\n\n if (NOT ${prog_name})\n message(\n FATAL_ERROR \"Your compiler does not support all required F2008 features\")\n endif ()\nendforeach ()\nunset(CMAKE_TRY_COMPILE_TARGET_TYPE)\nset(CMAKE_Fortran_FLAGS \"${_saved_fortran_flags}\")\n" }, { "path": "cmake/CompilerConfiguration.cmake", "content": "if (CMAKE_Fortran_COMPILER_ID STREQUAL \"GNU\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -ffree-form -std=f2008ts -fimplicit-none -Werror=aliasing -Werror=ampersand -Werror=c-binding-type -Werror=intrinsic-shadow -Werror=intrinsics-std -Werror=line-truncation -Werror=tabs -Werror=target-lifetime -Werror=underflow -Werror=unused-but-set-parameter -Werror=unused-but-set-variable -Werror=unused-variable -Werror=unused-dummy-argument -Werror=conversion -Werror=zerotrip -Wno-maybe-uninitialized -Werror=unused-parameter\")\n if (CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 10) # comparison against CXX version rather than GFortran version\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -fallow-argument-mismatch\") # required for 10+ (MPI wrap)\n else ()\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -Werror=argument-mismatch\") # gcc 10+ has this automatically\n endif ()\n if (CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 13) # comparison against CXX version rather than GFortran version\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -Wno-error=uninitialized\") # false positive (allocatable array)\n endif ()\n include(CheckFortranCompilerFlag)\n check_fortran_compiler_flag(\"-Wno-error=deprecated-openmp\" _fc_has_deprecated_openmp)\n if (_fc_has_deprecated_openmp)\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -Wno-error=deprecated-openmp\")\n endif ()\n set(CMAKE_Fortran_FLAGS_RELEASE \"-O3 -g -funroll-loops\")\n set(CMAKE_Fortran_FLAGS_COVERAGE \"-O0 -g --coverage -fno-omit-frame-pointer -fcheck=all,no-array-temps -ffpe-trap=invalid,zero,overflow -fbacktrace -finit-real=snan -finit-integer=-42 -finit-derived -Werror=realloc-lhs -finline-matmul-limit=0 -Werror\")\n set(CMAKE_Fortran_FLAGS_DEBUG \"-O2 -ggdb -fno-omit-frame-pointer -fcheck=all -ffpe-trap=invalid,zero,overflow -fbacktrace -finit-real=snan -finit-integer=-42 -finit-derived -finline-matmul-limit=0 -fsanitize=undefined -fsanitize=address -fsanitize-recover=all -Wall -Wextra -Werror -Werror=realloc-lhs -Wno-error=array-temporaries -Wno-error=compare-reals -Wno-error=function-elimination -Wno-error=surprising\")\n if ((NOT (USE_MPI)) OR (NOT (\"${MPI_Fortran_LIBRARY_VERSION_STRING}\" MATCHES \"Open MPI\")))\n set(CMAKE_Fortran_FLAGS_DEBUG \"${CMAKE_Fortran_FLAGS_DEBUG} -fsanitize=leak\")\n endif ()\nelseif (CMAKE_Fortran_COMPILER_ID STREQUAL \"Intel\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -free -stand=f18 -fpp -heap-arrays\")\n set(CMAKE_Fortran_FLAGS_RELEASE \"-O3 -g\")\n set(CMAKE_Fortran_FLAGS_DEBUG \"-O2 -debug\")\nelseif (CMAKE_Fortran_COMPILER_ID STREQUAL \"IntelLLVM\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -free -stand f18 -fpp -heap-arrays\")\n set(CMAKE_Fortran_FLAGS_RELEASE \"-O3 -g\")\n set(CMAKE_Fortran_FLAGS_DEBUG \"-O2 -debug\")\nelseif (CMAKE_Fortran_COMPILER_ID STREQUAL \"PGI\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -Mfreeform -Mextend -Mallocatable=03\") # -Mallocatable=03: enable F2003+ assignment semantics\n set(CMAKE_Fortran_FLAGS_RELEASE \"-fast\")\n set(CMAKE_Fortran_FLAGS_DEBUG \"-g\")\nelseif (CMAKE_Fortran_COMPILER_ID STREQUAL \"NAG\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -f2008 -free -Warn=reallocation -Warn=subnormal\")\n set(CMAKE_Fortran_FLAGS_RELEASE \"-O2\")\n set(CMAKE_Fortran_FLAGS_DEBUG \"-g -C\")\n if (NOT OpenMP_FOUND)\n set(CMAKE_Fortran_FLAGS_RELEASE \"${CMAKE_Fortran_FLAGS_RELEASE} -gline\") # -gline is only supported without OpenMP\n set(CMAKE_Fortran_FLAGS_DEBUG \"${CMAKE_Fortran_FLAGS_DEBUG} -C=all\") # some checks are not available with OpenMP\n endif ()\nelseif (CMAKE_Fortran_COMPILER_ID STREQUAL \"Cray\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -f free -M3105 -ME7212\") # -M3105: hide a false-positive warning about modified loop variables due to loop fusing, promote warning 7212 to an error\n set(CMAKE_Fortran_FLAGS_RELEASE \"-O2 -G2\")\n set(CMAKE_Fortran_FLAGS_DEBUG \"-G2\")\n set(CMAKE_Fortran_MODOUT_FLAG \"-ef\") # override to get lower-case module file names\nelseif (CMAKE_Fortran_COMPILER_ID STREQUAL \"LLVMFlang\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -ffree-form -std=f2018 -cpp\")\n set(CMAKE_Fortran_FLAGS_RELEASE \"-O3\")\n set(CMAKE_Fortran_FLAGS_DEBUG \"-O0 -g\")\nelseif (CMAKE_Fortran_COMPILER_ID STREQUAL \"Flang\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -ffree-form -cpp\")\n set(CMAKE_Fortran_FLAGS_RELEASE \"-O3\")\n set(CMAKE_Fortran_FLAGS_DEBUG \"-O0 -g\")\nelse ()\n message(WARNING \"\\\nUnknown Fortran compiler, trying without any additional (optimization) flags.\\n\\\nYou will most likely have to specify extra options for free-form Fortran 2008 for your compiler!\\n\\\nPlease open an issue at https://github.com/cp2k/dbcsr/issues with the reported compiler name and the required flags.\")\n message(\"-- CMAKE_Fortran_COMPILER_ID: \" ${CMAKE_Fortran_COMPILER_ID})\n message(\"-- CMAKE_Fortran_COMPILER full path: \" ${CMAKE_Fortran_COMPILER})\nendif ()\n\nif (CMAKE_CXX_COMPILER_ID STREQUAL \"GNU\")\n set(CMAKE_CXX_FLAGS_RELEASE \"-O3 -g -funroll-loops -Wall -Wextra -Werror -Wno-missing-field-initializers\")\n set(CMAKE_CXX_FLAGS_COVERAGE \"-O0 -g --coverage -Wall -Wextra -Werror -Wno-missing-field-initializers\")\n set(CMAKE_CXX_FLAGS_DEBUG \"-O2 -ggdb -Wall -Wextra -Werror -Wno-missing-field-initializers -fsanitize=undefined -fsanitize=address -fsanitize-recover=all\")\n if ((NOT (USE_MPI)) OR (NOT (\"${MPI_Fortran_LIBRARY_VERSION_STRING}\" MATCHES \"Open MPI\")))\n set(CMAKE_CXX_FLAGS_DEBUG \"${CMAKE_CXX_FLAGS_DEBUG} -fsanitize=leak\")\n endif ()\nelseif (CMAKE_CXX_COMPILER_ID STREQUAL \"Clang\")\n set(CMAKE_CXX_FLAGS_RELEASE \"-O3 -funroll-loops\")\n set(CMAKE_CXX_FLAGS_COVERAGE \"-O0 -g --coverage\")\n set(CMAKE_CXX_FLAGS_DEBUG \"-O0 -g\")\nelseif (CMAKE_CXX_COMPILER_ID STREQUAL \"AppleClang\")\n set(CMAKE_CXX_FLAGS_RELEASE \"-O3 -funroll-loops\")\n set(CMAKE_CXX_FLAGS_COVERAGE \"-O0 -g --coverage\")\n set(CMAKE_CXX_FLAGS_DEBUG \"-O0 -g\")\n set(CMAKE_EXE_LINKER_FLAGS_COVERAGE \"-lgcov\") # Apple's Clang needs an extra\nelseif (CMAKE_CXX_COMPILER_ID STREQUAL \"Intel\")\n set(CMAKE_CXX_FLAGS_RELEASE \"-O3 -g\")\n set(CMAKE_CXX_FLAGS_DEBUG \"-O0 -debug\")\nelseif (CMAKE_CXX_COMPILER_ID STREQUAL \"IntelLLVM\")\n set(CMAKE_CXX_FLAGS_RELEASE \"-O3 -g\")\n set(CMAKE_CXX_FLAGS_DEBUG \"-O0 -debug\")\nelseif (CMAKE_CXX_COMPILER_ID STREQUAL \"PGI\")\n set(CMAKE_CXX_FLAGS_RELEASE \"-fast\")\n set(CMAKE_CXX_FLAGS_DEBUG \"-g\")\nelseif (CMAKE_CXX_COMPILER_ID STREQUAL \"Cray\")\n set(CMAKE_CXX_FLAGS_RELEASE \"-O3\")\n set(CMAKE_CXX_FLAGS_DEBUG \"-G2\")\n if (CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9)\n # prevent deallocation failures due to tcmalloc's free with glibc's aligned_alloc, see https://bugzilla.redhat.com/show_bug.cgi?id=1569391\n set(CMAKE_C_FLAGS \"${CMAKE_C_FLAGS} -h system_alloc\")\n set(CMAKE_CXX_FLAGS \"${CMAKE_CXX_FLAGS} -h system_alloc\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -h system_alloc\")\n # since the detection of the implicitly linked libraries occurs before we can intervene, filter them out again\n list(FILTER CMAKE_C_IMPLICIT_LINK_LIBRARIES EXCLUDE REGEX \"tcmalloc\")\n list(FILTER CMAKE_Fortran_IMPLICIT_LINK_LIBRARIES EXCLUDE REGEX \"tcmalloc\")\n endif ()\n # OpenACC support with CCE is EOL: causes https://github.com/cp2k/dbcsr/issues/261\n # eventually check compiler version (similar to -h system_alloc)\n set(CMAKE_C_FLAGS \"${CMAKE_C_FLAGS} -hnoacc -h nomessage=1234\")\n set(CMAKE_CXX_FLAGS \"${CMAKE_CXX_FLAGS} -hnoacc -h nomessage=1234\")\n set(CMAKE_Fortran_FLAGS \"${CMAKE_Fortran_FLAGS} -hnoacc -M1234\")\nelse ()\n message(WARNING \"\\\nUnknown C++ compiler, trying without any additional (optimization) flags.\\n\\\nYou may have to specify flags for C++11/14 support manually.\\n\\\nPlease open an issue at https://github.com/cp2k/dbcsr/issues with the reported compiler name and the required flags.\")\n message(\"-- CMAKE_CXX_COMPILER_ID: \" ${CMAKE_CXX_COMPILER_ID})\n message(\"-- CMAKE_CXX_COMPILER full path: \" ${CMAKE_CXX_COMPILER})\nendif ()\n\n# inherit C flags from CXX\nset(CMAKE_C_FLAGS_RELEASE ${CMAKE_CXX_FLAGS_RELEASE})\nset(CMAKE_C_FLAGS_COVERAGE ${CMAKE_CXX_FLAGS_COVERAGE})\nset(CMAKE_C_FLAGS_DEBUG ${CMAKE_CXX_FLAGS_DEBUG})\n" }, { "path": "cmake/CustomTargets.cmake", "content": "# =================================================================================================\n# BUILD DISTRIBUTION\nset(ARCHIVE_NAME \"${CMAKE_PROJECT_NAME}-${dbcsr_VERSION}\")\nadd_custom_target(\n dist\n COMMENT \"Building distribution: ${ARCHIVE_NAME}\"\n COMMAND ${CMAKE_COMMAND} -E make_directory \"${CMAKE_BINARY_DIR}/dist\"\n COMMAND git archive-all \"${CMAKE_BINARY_DIR}/dist/${ARCHIVE_NAME}.tar.gz\"\n COMMAND ${CMAKE_COMMAND} -E echo \"SHA512 Digests:\"\n COMMAND ${CMAKE_COMMAND} -E sha512sum\n \"${CMAKE_BINARY_DIR}/dist/${ARCHIVE_NAME}.tar.gz\"\n WORKING_DIRECTORY ${CMAKE_SOURCE_DIR})\n\n# =================================================================================================\n# LCOV - COVERAGE REPORTS GENERATION\nfind_program(\n LCOV_EXE lcov\n DOC \"path to the lcov executable (required to generate coverage reports)\")\n\nfind_program(\n GENHTML_EXE genhtml\n DOC \"path to the genhtml executable (required to generate HTML coverage reports)\"\n)\n\nset(LCOV_ARGS CACHE STRING\n \"specify additional arguments to pass to lcov for cov-info\")\nadd_custom_target(\n cov-info\n COMMAND\n \"${LCOV_EXE}\" --directory \"${CMAKE_BINARY_DIR}\" --base-dir\n \"${CMAKE_SOURCE_DIR}\" --no-external --capture ${LCOV_ARGS} --output-file\n coverage.info\n COMMAND \"${LCOV_EXE}\" --list coverage.info\n VERBATIM\n BYPRODUCTS coverage.info\n COMMENT \"Generate coverage.info using lcov\")\n\nadd_custom_target(\n cov-genhtml\n COMMAND \"${GENHTML_EXE}\" coverage.info --output-directory cov-html\n COMMENT\n \"Generate a HTML-based coverage report using lcov in ${CMAKE_BINARY_DIR}/cov-html\"\n VERBATIM) # Note: this directory will not be cleaned by `cmake --build .. --\n # clean`\nadd_dependencies(cov-genhtml cov-info)\n" }, { "path": "cmake/GetGitRevisionDescription.cmake", "content": "# - Returns a version string from Git\n#\n# These functions force a re-configure on each git commit so that you can\n# trust the values of the variables in your build system.\n#\n# get_git_head_revision( [ ...])\n#\n# Returns the refspec and sha hash of the current head revision\n#\n# git_describe( [ ...])\n#\n# Returns the results of git describe on the source tree, and adjusting\n# the output so that it tests false if an error occurs.\n#\n# git_get_exact_tag( [ ...])\n#\n# Returns the results of git describe --exact-match on the source tree,\n# and adjusting the output so that it tests false if there was no exact\n# matching tag.\n#\n# git_local_changes()\n#\n# Returns either \"CLEAN\" or \"DIRTY\" with respect to uncommitted changes.\n# Uses the return code of \"git diff-index --quiet HEAD --\".\n# Does not regard untracked files.\n#\n# Requires CMake 2.6 or newer (uses the 'function' command)\n#\n# Original Author:\n# 2009-2010 Ryan Pavlik \n# http://academic.cleardefinition.com\n# Iowa State University HCI Graduate Program/VRAC\n#\n# Copyright Iowa State University 2009-2010.\n# Distributed under the Boost Software License, Version 1.0.\n# (See accompanying file LICENSE_1_0.txt or copy at\n# http://www.boost.org/LICENSE_1_0.txt)\n\nif(__get_git_revision_description)\n\treturn()\nendif()\nset(__get_git_revision_description YES)\n\n# We must run the following at \"include\" time, not at function call time,\n# to find the path to this module rather than the path to a calling list file\nget_filename_component(_gitdescmoddir ${CMAKE_CURRENT_LIST_FILE} PATH)\n\nfunction(get_git_head_revision _refspecvar _hashvar)\n\tset(GIT_PARENT_DIR \"${CMAKE_CURRENT_SOURCE_DIR}\")\n\tset(GIT_DIR \"${GIT_PARENT_DIR}/.git\")\n\twhile(NOT EXISTS \"${GIT_DIR}\")\t# .git dir not found, search parent directories\n\t\tset(GIT_PREVIOUS_PARENT \"${GIT_PARENT_DIR}\")\n\t\tget_filename_component(GIT_PARENT_DIR ${GIT_PARENT_DIR} PATH)\n\t\tif(GIT_PARENT_DIR STREQUAL GIT_PREVIOUS_PARENT)\n\t\t\t# We have reached the root directory, we are not in git\n\t\t\tset(${_refspecvar} \"GITDIR-NOTFOUND\" PARENT_SCOPE)\n\t\t\tset(${_hashvar} \"GITDIR-NOTFOUND\" PARENT_SCOPE)\n\t\t\treturn()\n\t\tendif()\n\t\tset(GIT_DIR \"${GIT_PARENT_DIR}/.git\")\n\tendwhile()\n\t# check if this is a submodule\n\tif(NOT IS_DIRECTORY ${GIT_DIR})\n\t\tfile(READ ${GIT_DIR} submodule)\n\t\tstring(REGEX REPLACE \"gitdir: (.*)\\n$\" \"\\\\1\" GIT_DIR_RELATIVE ${submodule})\n\t\tget_filename_component(SUBMODULE_DIR ${GIT_DIR} PATH)\n\t\tget_filename_component(GIT_DIR ${SUBMODULE_DIR}/${GIT_DIR_RELATIVE} ABSOLUTE)\n\tendif()\n\tif(NOT IS_DIRECTORY \"${GIT_DIR}\")\n\t\tfile(READ ${GIT_DIR} worktree)\n \t\tstring(REGEX REPLACE \"gitdir: (.*)worktrees(.*)\\n$\" \"\\\\1\" GIT_DIR ${worktree})\n \tendif()\n\tset(GIT_DATA \"${CMAKE_CURRENT_BINARY_DIR}/CMakeFiles/git-data\")\n\tif(NOT EXISTS \"${GIT_DATA}\")\n\t\tfile(MAKE_DIRECTORY \"${GIT_DATA}\")\n\tendif()\n\n\tif(NOT EXISTS \"${GIT_DIR}/HEAD\")\n\t\treturn()\n\tendif()\n\tset(HEAD_FILE \"${GIT_DATA}/HEAD\")\n\tconfigure_file(\"${GIT_DIR}/HEAD\" \"${HEAD_FILE}\" COPYONLY)\n\n\tconfigure_file(\"${_gitdescmoddir}/GetGitRevisionDescription.cmake.in\"\n\t\t\"${GIT_DATA}/grabRef.cmake\"\n\t\t@ONLY)\n\tinclude(\"${GIT_DATA}/grabRef.cmake\")\n\n\tset(${_refspecvar} \"${HEAD_REF}\" PARENT_SCOPE)\n\tset(${_hashvar} \"${HEAD_HASH}\" PARENT_SCOPE)\nendfunction()\n\nfunction(git_describe _var)\n\tif(NOT GIT_FOUND)\n\t\tfind_package(Git QUIET)\n\tendif()\n\tget_git_head_revision(refspec hash)\n\tif(NOT GIT_FOUND)\n\t\tset(${_var} \"GIT-NOTFOUND\" PARENT_SCOPE)\n\t\treturn()\n\tendif()\n\tif(NOT hash)\n\t\tset(${_var} \"HEAD-HASH-NOTFOUND\" PARENT_SCOPE)\n\t\treturn()\n\tendif()\n\n\t# TODO sanitize\n\t#if((${ARGN}\" MATCHES \"&&\") OR\n\t#\t(ARGN MATCHES \"||\") OR\n\t#\t(ARGN MATCHES \"\\\\;\"))\n\t#\tmessage(\"Please report the following error to the project!\")\n\t#\tmessage(FATAL_ERROR \"Looks like someone's doing something nefarious with git_describe! Passed arguments ${ARGN}\")\n\t#endif()\n\n\t#message(STATUS \"Arguments to execute_process: ${ARGN}\")\n\n\texecute_process(COMMAND\n\t\t\"${GIT_EXECUTABLE}\"\n\t\tdescribe\n\t\t${hash}\n\t\t${ARGN}\n\t\tWORKING_DIRECTORY\n\t\t\"${CMAKE_CURRENT_SOURCE_DIR}\"\n\t\tRESULT_VARIABLE\n\t\tres\n\t\tOUTPUT_VARIABLE\n\t\tout\n\t\tERROR_QUIET\n\t\tOUTPUT_STRIP_TRAILING_WHITESPACE)\n\tif(NOT res EQUAL 0)\n\t\tset(out \"${out}-${res}-NOTFOUND\")\n\tendif()\n\n\tset(${_var} \"${out}\" PARENT_SCOPE)\nendfunction()\n\nfunction(git_get_exact_tag _var)\n\tgit_describe(out --exact-match ${ARGN})\n\tset(${_var} \"${out}\" PARENT_SCOPE)\nendfunction()\n\nfunction(git_local_changes _var)\n\tif(NOT GIT_FOUND)\n\t\tfind_package(Git QUIET)\n\tendif()\n\tget_git_head_revision(refspec hash)\n\tif(NOT GIT_FOUND)\n\t\tset(${_var} \"GIT-NOTFOUND\" PARENT_SCOPE)\n\t\treturn()\n\tendif()\n\tif(NOT hash)\n\t\tset(${_var} \"HEAD-HASH-NOTFOUND\" PARENT_SCOPE)\n\t\treturn()\n\tendif()\n\n\texecute_process(COMMAND\n\t\t\"${GIT_EXECUTABLE}\"\n\t\tdiff-index --quiet HEAD --\n\t\tWORKING_DIRECTORY\n\t\t\"${CMAKE_CURRENT_SOURCE_DIR}\"\n\t\tRESULT_VARIABLE\n\t\tres\n\t\tOUTPUT_VARIABLE\n\t\tout\n\t\tERROR_QUIET\n\t\tOUTPUT_STRIP_TRAILING_WHITESPACE)\n\tif(res EQUAL 0)\n\t\tset(${_var} \"CLEAN\" PARENT_SCOPE)\n\telse()\n\t\tset(${_var} \"DIRTY\" PARENT_SCOPE)\n\tendif()\nendfunction()\n" }, { "path": "cmake/GetGitRevisionDescription.cmake.in", "content": "#\n# Internal file for GetGitRevisionDescription.cmake\n#\n# Requires CMake 2.6 or newer (uses the 'function' command)\n#\n# Original Author:\n# 2009-2010 Ryan Pavlik \n# http://academic.cleardefinition.com\n# Iowa State University HCI Graduate Program/VRAC\n#\n# Copyright Iowa State University 2009-2010.\n# Distributed under the Boost Software License, Version 1.0.\n# (See accompanying file LICENSE_1_0.txt or copy at\n# http://www.boost.org/LICENSE_1_0.txt)\n\nset(HEAD_HASH)\n\nfile(READ \"@HEAD_FILE@\" HEAD_CONTENTS LIMIT 1024)\n\nstring(STRIP \"${HEAD_CONTENTS}\" HEAD_CONTENTS)\nif(HEAD_CONTENTS MATCHES \"ref\")\n\t# named branch\n\tstring(REPLACE \"ref: \" \"\" HEAD_REF \"${HEAD_CONTENTS}\")\n\tif(EXISTS \"@GIT_DIR@/${HEAD_REF}\")\n\t\tconfigure_file(\"@GIT_DIR@/${HEAD_REF}\" \"@GIT_DATA@/head-ref\" COPYONLY)\n\telse()\n\t\tconfigure_file(\"@GIT_DIR@/packed-refs\" \"@GIT_DATA@/packed-refs\" COPYONLY)\n\t\tfile(READ \"@GIT_DATA@/packed-refs\" PACKED_REFS)\n\t\tif(${PACKED_REFS} MATCHES \"([0-9a-z]*) ${HEAD_REF}\")\n\t\t\tset(HEAD_HASH \"${CMAKE_MATCH_1}\")\n\t\tendif()\n\tendif()\nelse()\n\t# detached HEAD\n\tconfigure_file(\"@GIT_DIR@/HEAD\" \"@GIT_DATA@/head-ref\" COPYONLY)\nendif()\n\nif(NOT HEAD_HASH)\n\tfile(READ \"@GIT_DATA@/head-ref\" HEAD_HASH LIMIT 1024)\n\tstring(STRIP \"${HEAD_HASH}\" HEAD_HASH)\nendif()\n" }, { "path": "cmake/compiler-tests/f2008-block_construct.f90", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nprogram main\n try: block\n exit try\n end block try\nend program\n" }, { "path": "cmake/compiler-tests/f2008-contiguous.f90", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nprogram main\n implicit none\n\n ! test whether the compiler supports the CONTIGUOUS keyword\n integer, allocatable, target :: targ(:)\n integer, contiguous, pointer :: ptr(:)\n\n ! allocated data is always contiguous\n allocate (targ(10))\n ptr => targ\n\n ! IS_CONTIGUOUS was implemented in gcc-9 and is therefore not tested for yet\nend program\n" }, { "path": "cmake/compiler-tests/f2008-norm2.f90", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nprogram main\n implicit none\n real :: x(2) = [real :: 3, 4]\n if (abs(norm2(x) - 5.) > 1.0D-5) stop 1\nend program\n" }, { "path": "cmake/compiler-tests/f95-reshape-order-allocatable.f90", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\nprogram test_reshape\n integer, dimension(4) :: x = [1, 2, 3, 4]\n integer, dimension(:), allocatable :: order\n\n allocate (order(2))\n order(:) = [2, 1]\n\n ! PGI <= 19.10 does not accept allocatables for the order parameter\n print *, reshape(x, shape=[2, 2], order=order)\nend program\n" }, { "path": "cmake/fypp-sources.cmake", "content": "add_custom_target(fypp) # common target for all fypp calls\n\n# Use a system-provided fypp if available, otherwise the bundled one\nfind_program(\n FYPP_EXECUTABLE fypp\n DOC \"The FYPP preprocessor\"\n PATHS ../tools/build_utils/fypp/bin)\nif (NOT FYPP_EXECUTABLE)\n message(FATAL_ERROR \"Failed to find the FYPP preprocessor.\")\nelse ()\n message(STATUS \"FYPP preprocessor found.\")\nendif ()\n\nif ((CMAKE_Fortran_COMPILER_ID STREQUAL \"GNU\")\n AND (CMAKE_GENERATOR STREQUAL \"Ninja\")\n AND (CMAKE_VERSION VERSION_GREATER_EQUAL 3.16))\n set(fypp_flags --line-numbering --line-marker-format=gfortran5)\nelseif (CMAKE_BUILD_TYPE MATCHES COVERAGE)\n message(\n WARNING\n \"Coverage build requested but your environment does not support Line Control directives in Fypp\"\n )\n message(\n WARNING\n \"You need CMake 3.16+, Ninja (CMake-patched) and gfortran 5+ for this to work!\"\n )\n # otherwise the referenced lines in the Coverage report point to either the\n # original (unexpanded files) or to the Fypped sources which may then not be\n # picked up by the postprocessing tools. CMake 3.16+ and Ninja are needed\n # since older CMake (or CMake with make) are unable to parse Line Control\n # directives within line-continued USE stmts, see\n # https://gitlab.kitware.com/cmake/cmake/issues/18188\nendif ()\n\nfunction (ADD_FYPP_SOURCES OUTVAR)\n set(outfiles)\n\n foreach (f ${ARGN})\n # first we might need to make the input file absolute\n get_filename_component(f \"${f}\" ABSOLUTE)\n get_filename_component(ext \"${f}\" EXT)\n # get the relative path of the file to the current source dir\n file(RELATIVE_PATH rf \"${CMAKE_CURRENT_SOURCE_DIR}\" \"${f}\")\n # set the output filename of fypped sources\n set(of \"${CMAKE_CURRENT_BINARY_DIR}/${rf}\")\n\n # create the output directory if it doesn't exist\n get_filename_component(d \"${of}\" PATH)\n if (NOT IS_DIRECTORY \"${d}\")\n file(MAKE_DIRECTORY \"${d}\")\n endif ()\n\n if (\"${f}\" MATCHES \".F$\")\n # append the output file to the list of outputs\n list(APPEND outfiles \"${of}\")\n # now add the custom command to generate the output file\n add_custom_command(\n OUTPUT \"${of}\"\n COMMAND ${Python_EXECUTABLE} ${FYPP_EXECUTABLE} ARGS ${fypp_flags}\n \"${f}\" \"${of}\"\n MAIN_DEPENDENCY \"${f}\"\n VERBATIM)\n elseif (\"${f}\" MATCHES \".h$\")\n # append the output file to the list of outputs\n list(APPEND outfiles \"${of}\")\n # now add the custom command to generate the output file\n add_custom_command(\n OUTPUT \"${of}\"\n COMMAND ${Python_EXECUTABLE} ${FYPP_EXECUTABLE} ARGS \"-F\" \"${f}\" \"${of}\"\n DEPENDS \"${f}\")\n else ()\n configure_file(\"${f}\" \"${of}\" COPYONLY)\n endif ()\n endforeach ()\n\n # build a custom target to fypp seperately (required for example by the doc\n # target)\n add_custom_target(\"fypp_${OUTVAR}\" DEPENDS ${outfiles})\n add_dependencies(fypp \"fypp_${OUTVAR}\")\n\n # set the output list in the calling scope\n set(${OUTVAR}\n ${outfiles}\n PARENT_SCOPE)\nendfunction ()\n" }, { "path": "docs/CMakeLists.txt", "content": "# =================================================================================================\n# FORD - DOCUMENTATION GENERATION\nfind_program(\n FORD_EXE ford\n DOC \"path to the ford executable (required to generate the documentation)\")\n\n# Copy the FORD project-file into the build directory\nset(FORD_PROJECT_FILE \"${CMAKE_BINARY_DIR}/DBCSR.md\")\nconfigure_file(${CMAKE_SOURCE_DIR}/DBCSR.md \"${FORD_PROJECT_FILE}\")\n\n# Copy the FORD project-file into the build directory\nadd_custom_target(\n doc\n COMMENT \"Generating API documentation and doc pages\"\n COMMAND \"${FORD_EXE}\" \"${FORD_PROJECT_FILE}\"\n VERBATIM)\n\nif (BUILD_TESTING)\n add_dependencies(doc doc_copy_tests)\nendif ()\n\nif (WITH_C_API AND WITH_EXAMPLES)\n add_dependencies(doc doc_copy_examples)\nendif ()\n\nadd_dependencies(doc fypp) # only depend on the fypp step to avoid building\n # everything just for the docs\n" }, { "path": "docs/guide/1-DBCSR/index.md", "content": "title: DBCSR\n\n# DBCSR\n\nDBCSR is a sparse matrix library designed to efficiently perform sparse matrix-matrix multiplication, among other operations. It is MPI and OpenMP parallel, and can exploit accelerators.\n\nDBCSR was developed as a part of [CP2K](https://github.com/cp2k/cp2k/), where it provides core functionality for [linear scaling electronic structure theory](https://dx.doi.org/10.1021%2Fct200897x). It is now released as a standalone library for integration in other projects.\n" }, { "path": "docs/guide/1-DBCSR/publications.md", "content": "title: Publications\n\n# Publications\n\n- **General overview of the library**\n\nUrban Borstnik, Joost VandeVondele, Valery Weber, and Jürg Hutter. 2014. [Sparse Matrix Multiplication: The Distributed Block-Compressed Sparse Row Library](https://dx.doi.org/10.1016%2Fj.parco.2014.03.012). Parallel Comput. 40, 5-6 (2014), 47–58.\n\n- **Use of one-sided MPI and a 2.5D algorithm**\n\nAlfio Lazzaro, Joost VandeVondele, Jürg Hutter, and Ole Schütt. [Increasing the Efficiency of Sparse Matrix-Matrix Multiplication with a 2.5D Algorithm and One-Sided MPI](https://arxiv.org/abs/1705.10218). In Proceedings of the Platform for Advanced Scientific Computing Conference, PASC ’17, pages 3:1–3:9, New York, NY, USA, 2017. ACM.\n\n- **GPU-Backend**\n\nOle Schütt, Peter Messmer, Jürg Hutter, and Joost VandeVondele. 2015. [GPU-Accelerated Sparse Matrix–Matrix Multiplication for Linear Scaling Density Functional Theory](https://dx.doi.org/10.1002%2F9781118670712.ch8). John Wiley and Sons, Chapter 8, 173–190.\n\nIlia Sivkov, Alfio Lazzaro, and Jürg Hutter. [DBCSR: A Library for Dense Matrix Multiplications on Distributed GPU-Accelerated Systems](http://arxiv.org/abs/1910.04796). 2019.\n" }, { "path": "docs/guide/2-user-guide/1-installation/1-cmake-build-recipes.md", "content": "title: CMake Build Recipes\n\n# DBCSR CMake Build Recipes\n\nFollowing are recipes for different combinations of compilers, platforms and libraries.\nUnless otherwise noted, the examples assume that after fetching/unpacking DBCSR you created\na directory `build/` inside the DBCSR directory and switched into it using `cd build/`.\n\nThe listed examples can usually be combined with other build options like *libxsmm* or *CUDA*\neven if the examples are not explicitly given.\n\nThe instructions used for building in the Continuous Integration can be found in\nthe `.ci/` folder or in the `.github/workflows/`.\n\n## GNU\n\n### GNU compiler, system MPI and system-provided OpenBLAS\n\nMost Linux systems provide the GNU compiler, a system MPI (OpenMPI or MPICH) using the\nGNU compiler as a backend and OpenBLAS for BLAS/LAPACK:\n\n```bash\n cmake ..\n```\n\n### GNU compiler, system MPI and Intel MKL\n\nTo use the Intel MKL together with the GNU compiler and possibly a system-MPI,\nassuming that MKL is installed in `/sw/intel/mkl`.\n\nVerified with MKL provided as part of the Intel Parallel Studio XE 2019.5 installed in `/sw/intel`\nwith an OS-provided GCC 7.4.1 on Linux openSUSE Leap 15.1, using CMake 3.12.0.\n\n1. Make sure the MKL environment is properly loaded:\n\n```bash\n source /sw/intel/mkl/bin/mklvars.sh intel64\n```\n\n2. Make sure CMake picks the Intel MKL over any system-provided BLAS library:\n\n```bash\n cmake -DBLA_VENDOR=Intel10_64lp_seq ..\n```\n\n## Intel\n\nInstructions for using Intel compiler or libraries for different parts on non-Cray systems.\nFor Cray systems, please check further below.\n\n*Note*: in Intel Parallel Studio 2019 there is a potential issue that `mpirun` fails with\nthe error `OFI addrinfo() failed` on local (non-cluster) installations.\nThis can be worked around by setting `export I_MPI_FABRICS=shm`.\n\n### Intel MPI, GNU Compiler and system-provided OpenBLAS\n\nVerified with Intel Parallel Studio XE 2019.5 installed in `/sw/intel`\nwith an OS-provided GCC 7.4.1 on Linux openSUSE Leap 15.1, using CMake 3.12.0.\n\n1. Make sure that the Intel environment is properly loaded:\n\n```bash\n source /sw/intel/bin/compilervars.sh intel64\n```\n\n2. Use the Intel-provided MPI compiler wrappers for the GNU toolchain,\n to override CMake's auto-detection which may pick up the system MPI:\n\n```bash\n CC=mpicc FC=mpifc CXX=mpicxx cmake ..\n```\n\n### Intel MPI, GNU Compiler and Intel MKL\n\nVerified with Intel Parallel Studio XE 2019.5 installed in `/sw/intel`\nwith an OS-provided GCC 7.4.1 on Linux openSUSE Leap 15.1, using CMake 3.12.0.\n\n1. Make sure that the Intel environment is properly loaded:\n\n```bash\n source /sw/intel/bin/compilervars.sh intel64\n```\n\n2. Use the Intel-provided MPI compiler wrappers for the GNU toolchain:\n\n```bash\n CC=mpicc FC=mpifc CXX=mpicxx cmake -DBLA_VENDOR=Intel10_64lp_seq ..\n```\n\n### Intel MPI, Intel Compiler and Intel MKL\n\nVerified with Intel Parallel Studio XE 2019.5 installed in `/sw/intel`\non Linux openSUSE Leap 15.1, using CMake 3.12.0.\n\n1. Make sure that the Intel environment is properly loaded:\n\n```bash\n source /sw/intel/bin/compilervars.sh intel64\n```\n\n2. Use the Intel-provided MPI compiler wrappers:\n\n```bash\n CC=mpiicc FC=mpiifort CXX=mpiicxx cmake -DBLA_VENDOR=Intel10_64lp_seq ..\n```\n\n## MacOS\n\nFollow what is described in the previous sections.\nFor GNU, if you have installed Command Line Tools by Apple and GCC with Homebrew that can lead to a\nconflict in which compiler CMake will use. Therefore, we suggest specifying GCC, for example\n\n```bash\n CC=gcc-9 CXX=g++-9 cmake ..\n```\n\nwhere `-9` can be adapted to your version.\n\n### PGI\n\nPlease note that you need at least PGI >= 19.11.\n\nAssuming that your `$PATH` is set correctly such that `pgcc`, `pgc++` and `pgfortran` can be found,\nrun the following to get a DBCSR version without MPI:\n\n```bash\n CC=pgcc CXX=pgc++ FC=pgfortran cmake -DUSE_MPI=OFF ..\n```\n\nthe `-DUSE_MPI=OFF` is needed here to avoid that CMake picks up any MPI installation, for example from Homebrew.\n\nTo build with MPI you need an MPI implementation built for/with the PGI compiler, for example the MPICH\nusually bundled with the PGI installation.\n\nMake sure that `$PATH` is correctly set to include `mpicc` and `mpifort` from the PGI MPICH installation, then run:\n\n```bash\n CC=mpicc CXX=mpicxx FC=mpifort MPICH_CC=pgcc cmake ..\n```\n\n## Cray\n\nSome machines require additional environments to be loaded to either provide\nthe modules specified below or to be able to properly build with the loaded modules.\n\nPlease contact your cluster/datacenter administrator for more information.\n\nExample for the CSCS' Piz Daint:\n\n```bash\n module load daint-mc # to build for the non-GPU partition\n module load daint-gpu # to build for the GPU partition\n```\n\n*Note*: the `libsci-cray` has different variants for MPI or OpenMP.\nWhen disabling either MPI or OpenMP support in DBCSR you might want to adjust the\nselected BLAS/LAPACK library accordingly (e.g. drop the `_mpi`, or `_mp`).\n\n### CCE and libsci-cray\n\nVerified on CSCS' Piz Daint with CCE 10.0.2 and cray-libsci 20.06.1,\nusing CMake 3.18.4.\n\n1. Make sure that the `PrgEnv-cray` module is loaded:\n\n```bash\n module load PrgEnv-cray\n```\n\n2. While the MPI wrapper/compiler will be detected automatically,\n must the BLAS/LAPACK libraries be specified manually:\n\n```bash\n cmake \\\n -DCMAKE_SYSTEM_NAME=CrayLinuxEnvironment \\\n -DBLAS_LIBRARIES=\"-lsci_cray_mpi_mp -lhugetlbfs\" \\\n -DLAPACK_LIBRARIES=\"-lsci_cray_mpi_mp\" \\\n ..\n```\n\n### Intel Compiler and libsci-cray\n\nVerified on CSCS' Piz Daint with Intel 19.1 and cray-libsci 20.06.1,\nusing CMake 3.18.4.\n\n1. Make sure that the `PrgEnv-intel` module is loaded:\n\n```bash\n module load PrgEnv-intel\n```\n\n2. While the MPI wrapper/compiler will be detected automatically,\n must the BLAS/LAPACK libraries be specified manually:\n\n```bash\n cmake \\\n -DCMAKE_SYSTEM_NAME=CrayLinuxEnvironment \\\n -DBLAS_LIBRARIES=\"-lsci_intel_mpi_mp -lhugetlbfs\" \\\n -DLAPACK_LIBRARIES=\"-lsci_intel_mpi_mp\" \\\n ..\n```\n\n### GNU Compiler and libsci-cray\n\nVerified on CSCS' Piz Daint with GNU 8.3.0 and cray-libsci 20.06.1,\nusing CMake 3.18.4.\n\n1. Make sure that the `PrgEnv-gnu` module is loaded:\n\n```bash\n module load PrgEnv-gnu\n```\n\n2. While the MPI wrapper/compiler will be detected automatically,\n must the BLAS/LAPACK libraries be specified manually:\n\n```bash\n cmake \\\n -DCMAKE_SYSTEM_NAME=CrayLinuxEnvironment \\\n -DBLAS_LIBRARIES=\"-lsci_gnu_mpi_mp -lhugetlbfs\" \\\n -DLAPACK_LIBRARIES=\"-lsci_gnu_mpi_mp\" \\\n ..\n```\n\n## Any compiler\n\n### Custom compiler flags\n\nIn the DBCSR build system we preload the default compiler flags (especially the ones for Fortran) with flags\nrequired to build the code with a specific compiler, while additional optimization flags are added based on the\nCMake build type.\n\nThis allows the user to override optimization flags by setting a custom build type and providing optimization flags\nfor that build type as follows:\n\n```bash\n cmake \\\n -DCMAKE_BUILD_TYPE=custom \\\n -DCMAKE_C_FLAGS_CUSTOM=\"-O3 -march=native\" \\\n -DCMAKE_CXX_FLAGS_CUSTOM=\"-O3 -march=native\" \\\n -DCMAKE_Fortran_FLAGS_CUSTOM=\"-O3 -march=native\" \\\n ..\n```\n" }, { "path": "docs/guide/2-user-guide/1-installation/2-supported-compilers.md", "content": "title: Supported Compilers\n\n# Supported compilers\n\nDBCSR uses the Fortran 2008+ standard, which requires up-to-date compilers.\nCurrently direct testing is done with the following compilers:\n\n* GNU 11.2.0\n\nSince DBCSR is a core library of CP2K, the code gets additional testing on a\nwider range of systems and compilers, you can find more information about this\non [CP2K Compiler Support](https://www.cp2k.org/dev:compiler_support).\n" }, { "path": "docs/guide/2-user-guide/1-installation/3-using-dbcsr-in-a-cmake-project.md", "content": "title: Using DBCSR in a CMake project\n\n# Using DBCSR in a CMake project\n\nWe are providing CMake helper files to easily include DBCSR in any other CMake-based project.\nFor this you have to build DBCSR using CMake as described above and then also install it.\n\nAs a user being able to run commands as root, use:\n\n```bash\n sudo cmake --build . -- install # will install to /usr/local\n```\n\nIf you can not run commands as root, use `-DCMAKE_INSTALL_PREFIX=...` when calling CMake to set\nan alternative base installation path for DBCSR instead:\n\n```bash\n cmake -DCMAKE_INSTALL_PREFIX=/my/custom/prefix ..\n cmake --build . -- install\n```\n\nIn your project's CMake you can then easily search for the DBCSR library:\n\n```cmake\ncmake_minimum_required(VERSION 3.22)\n\nenable_language(Fortran C CXX) # only request the required language\n\nfind_package(DBCSR 2.0.0 CONFIG REQUIRED)\nfind_package(MPI)\n\n# for Fortran:\nset(CMAKE_Fortran_FLAGS \"-std=f2018\") # your Fortran code likely needs to be F2018+ compatible as well\nadd_executable(dbcsr_example_fortran dbcsr_example.f90)\ntarget_link_libraries(dbcsr_example_fortran DBCSR::dbcsr)\n\n# for C:\nadd_executable(dbcsr_example_c dbcsr_example.c)\ntarget_link_libraries(dbcsr_example_c DBCSR::dbcsr_c MPI::MPI_C)\n\n# for C++:\nadd_executable(dbcsr_example_cpp dbcsr_example.cpp)\ntarget_link_libraries(dbcsr_example_cpp DBCSR::dbcsr_c MPI::MPI_CXX)\n```\n\nIf you installed DBCSR into a custom prefix, you have to make sure that CMake\nis able to find the DBCSR CMake configuration:\n\n```bash\n DBCSR_DIR=/my/custom/prefix cmake ..\n```\n" }, { "path": "docs/guide/2-user-guide/1-installation/4-docker.md", "content": "title: Docker Images\n\n{!./tools/docker/README.md!}\n\n" }, { "path": "docs/guide/2-user-guide/1-installation/index.md", "content": "title: Install\n\n# Install\n\n## Prerequisites\n\nYou need:\n\n* [CMake](https://cmake.org/) (3.22+)\n* GNU make or Ninja\n* Fortran compiler which supports at least Fortran 2008 (including the TS 29113 when using the C-bindings)\n* BLAS+LAPACK implementation (reference, OpenBLAS and MKL have been tested. Note: DBCSR linked to OpenBLAS 0.3.6 gives wrong results on Power9 architectures.)\n* Python version installed (2.7 or 3.6+ have been tested)\n\nOptional:\n\n* [LIBXSMM](https://github.com/hfp/libxsmm) (1.10+, and `pkg-config`) for Small Matrix Multiplication acceleration\n* LAPACK implementation (reference, OpenBLAS-bundled and MKL have been tested), required when building the tests\n\nTo build DBCSR's GPU backend:\n\n* CUDA Toolkit (targets NVIDIA GPUs, minimal version required: 5.5) with cuBLAS\n * Host C++ compiler which supports at least C++11 standard\n* or HIP compiler (targets NVIDIA or AMD GPUs) and hipBLAS (ROCm 4.5.2 was tested)\n * Host C++ compiler which supports at least C++11 standard\n* or OpenCL, i.e., development headers (`opencl-headers`), generic loader \"ocl-icd\" (`ocl-icd-opencl-dev`),\n * Vendor specific OpenCL package, e.g.,\n [Intel Compute Runtime](https://github.com/intel/compute-runtime/releases/latest),\n or CUDA Toolkit (includes OpenCL)\n * Nvidia GPU mode shall be `DEFAULT` (`nvidia-smi -c DEFAULT`) if MPI puts multiple ranks onto a single GPU;\n MPS daemon with GPU mode `EXCLUSIVE_PROCESS` is not an option\n * For the OpenCL backend, a plain C compiler is sufficient (C90 standard)\n * Optionally, `clinfo` (can be useful to show available devices)\n\nDBCSR is tested against GNU and Intel compilers on Linux systems, and GNU compiler on MacOS systems.\nSee a list of supported compilers [here](2-supported-compilers.html).\n\n## Get DBCSR\n\nDownload either a [release tarball](https://github.com/cp2k/dbcsr/releases) or clone the latest version from Git using:\n\n```bash\ngit clone --recursive https://github.com/cp2k/dbcsr.git\n```\n\n## Build\n\nDBCSR can be compiled in four main variants:\n* Serial, i.e., no OpenMP and no MPI\n* OpenMP\n* MPI\n* OpenMP+MPI\nIn addition, the variants can support accelerators.\n\nRun inside the `dbcsr` directory:\n\n```bash\nmkdir build\ncd build\ncmake ..\nmake\n```\n\n The configuration flags for the CMake command are (default first):\n\n```bash\n-DUSE_MPI=\n-DUSE_OPENMP=\n-DUSE_SMM=\n-DUSE_ACCEL=\n-DWITH_CUDA_PROFILING=\n-DWITH_HIP_PROFILING=\n-DWITH_C_API=\n-DWITH_EXAMPLES=\n-DWITH_GPU=\n-DCMAKE_BUILD_TYPE=\n-DBUILD_TESTING=\n-DTEST_MPI_RANKS=<2|auto|N>\n-DTEST_OMP_THREADS=<2|N>\n```\n\nWhen providing a build of LIBXSMM, make sure the `lib` directory is added to the `PKG_CONFIG_PATH` variable prior\nto running `cmake`. For example, if LIBXSMM was checked out using Git to your home folder:\n\n```bash\nexport PKG_CONFIG_PATH=\"${PKG_CONFIG_PATH}:${HOME}/libxsmm/lib\"\n```\n\n### CMake Build Recipes\n\nFor build recipes on different platforms, make sure to also read the [CMake Build Recipes](1-cmake-build-recipes.html).\n\n### Building with spack\n\nDBCSR and its dependencies can be built with the [spack package manager](https://github.com/spack/spack):\n\n```bash\nspack install dbcsr +openmp +mpi +cuda cuda_arch=70\nspack install dbcsr +openmp +mpi +rocm amdgpu_target=gfx906\nspack install dbcsr +openmp +mpi +opencl ^cuda\n```\n\nSee `spack info dbcsr` for all supported variants.\n\n### C/C++ Interface\n\nIf MPI support is enabled (the default), the C API is automatically built.\n" }, { "path": "docs/guide/2-user-guide/2-tests/index.md", "content": "title: Tests\n\n# Tests\n\n## Correctness tests\n\n- [[dbcsr_unittest_1(program)]] (fortran) : test matrix operations: add, multiply and multiply-ghost\n- [[dbcsr_unittest_2(program)]] (fortran) : test matrix-multiply with large blocks (block size=100) and rectangular matrices (block size=5)\n- [[dbcsr_test_csr_conversions(program)]] (fortran) : test DBCSR to CSR conversion with random matrices\n- [[dbcsr_tas_unittest(program)]] (fortran) : unit test for tall-and-skinny matrices\n- [[dbcsr_tensor_unittest(program)]] (fortran) : unit test for tensor functionalities\n- [dbcsr_tensor_test](../../../sourcefile/dbcsr_tensor_test.cpp.html) (c++) : test the tensor contraction (13|2)x(54|21)=(3|45) 31 and other functions\n\n### GPU-backend correctness tests:\n\n- [[dbcsr_unittest_3(program)]] (fortran) : test matrix-multiply with various block sizes that are run by the libsmm_acc GPU backend if DBCSR is compiled with GPU support\n- [libsmm_acc_unittest_multiply](../../../sourcefile/libsmm_acc_unittest_multiply.cpp.html) (c++) : tests all libsmm_acc transpose kernels\n- [libsmm_acc_unittest_transpose](../../../sourcefile/libsmm_acc_unittest_transpose.cpp.html) (c++) : tests all libsmm_acc batch-multiplication kernels\n\n## Performance tests\n\nDBCSR performance tests:\n\n- [[dbcsr_performance_driver(program)]] (fortran) : performance tester for matrix operations. The input matrices can be described in an input file in order to test different configurations. See below.\n\n### GPU backend performance tests:\n\n- [libsmm_acc_timer_multiply](../../../sourcefile/libsmm_acc_timer_multiply.cpp.html) (c++) : time all libsmm_acc batch-multiplication kernels\n\n## Running Tests\n\nTo run all the tests, use:\n\n```bash\nmake test\n```\n\nOr run individual tests from the `build` directory, as follows:\n\n```bash\nsrun -N 1 --ntasks-per-core 2 --ntasks-per-node 12 --cpus-per-task 2 ./tests/dbcsr_unittest_1\n```\n\nNote that the tests of libsmm_acc (the GPU-backend) do not use MPI since libsmm_acc only operates on-node.\n\nNote that if you are using OpenMP builds, then you have to set the environment variable `OMP_NESTED=false`.\n\n### Input Files for Performance Driver\n\nThe test suite comes with a performance driver ([[dbcsr_performance_driver(program)]]), which evaluates the performance of matrix-matrix multiplication in DBCSR.\n\nInput matrices can be specified in an input file, passed to the executable as standard input, for example:\n\na) To test pure MPI performance test using [n] nodes:\n\n```bash\nmpirun -np [n] ./build/tests/dbcsr_perf tests/input.perf 2>&1 | tee perf.log\n```\n\nb) To test hybrid MPI/OpenMP performance test using [n] nodes, each spanning [t] threads:\n\n```bash\nexport OMP_NUM_THREADS=[t]; mpirun -np [n] ./build/tests/dbcsr_perf tests/input.perf 2>&1 | tee perf.log\n```\n\n### How to Write Input Files\n\nExamples of input files can be found in `tests/inputs` for different sizes of matrices and different block sizes.\n\nYou can also write custom input files: for more information, follow the template in `tests/input.perf`.\n" }, { "path": "docs/guide/2-user-guide/3-examples/index.md", "content": "title: Examples\n\n# Examples\n\n- [[dbcsr_example_1(program)]] : how to create a dbcsr matrix (fortran)\n- [[dbcsr_example_2(program)]] : how to set a dbcsr matrix (fortran)\n- dbcsr_example_3: how to multiply two dbcsr matrices (in fortran: [[dbcsr_example_3(program)]]) and in c++: [dbcsr_example_3](../../../sourcefile/dbcsr_example_3.cpp.html))\n- [[dbcsr_tensor_example_1(program)]] : how to create a dbcsr matrix (fortran)\n - the example can be run with different parameters, controlling block size, sparsity, verbosity and more\n- [dbcsr_tensor_example_2](../../../sourcefile/dbcsr_tensor_example_2.cpp.html): tensor contraction example (cpp)\n - tensor1 x tensor2 = tensor3, (13|2)x(54|21)=(3|45)\n\n## Build\n\nCompile the DBCSR library, using `-DUSE_MPI=ON -DWITH_EXAMPLES=ON`.\n\nThe examples require MPI. Furthermore, if you are using threading, MPI_THREAD_FUNNELED mode is required.\n\n## Run\n\nYou can run the examples, for instance from the `build` directory, as follows:\n\n```bash\nsrun -N 1 --ntasks-per-core 2 --ntasks-per-node 12 --cpus-per-task 2 ./examples/dbcsr_example_1\n```\n\n### Run tensor examples\n\nHow to run (this example and DBCSR for tensors in general):\n\n- best performance is obtained by running with mpi and one openmp thread per rank.\n- ideally number of mpi ranks should be composed of small prime factors (e.g. powers of 2).\n- for sparse data & heterogeneous block sizes, DBCSR should be run on CPUs with libxsmm backend.\n- for dense data best performance is obtained by choosing homogeneous block sizes of 64 and by compiling with GPU support.\n" }, { "path": "docs/guide/2-user-guide/4-gpu/index.md", "content": "title: GPUs\n\n# Introduction\n\n[CP2K](https://github.com/cp2k/cp2k/) was initially enabled for GPUs by the means of the DBCSR library. The original development focused on scalability and an assumption of a `1:1`-relationship between CPUs and GPUs (one CPU-socket drives one GPU). Multi-GPU asks for associating CPU-ranks with the closest GPU (affinity), but is usually a desparture in terms of algorithms as well (GPU to GPU communication). DBCSR associates ranks with GPUs based on a round-robin scheme using the rank-ID, i.e., GPU-affinity is only achieved with the help of the underlying MPI implementation or support from other runtimes. Aggregating GPU acceleration in as little as possible systems is contrary to the original design of DBCSR (and CP2K at that time). CP2K is a versatile toolbox covering a variety of workloads (input language), which imposes several hotspots beyond DBCSR ([status](https://www.cp2k.org/gpu)).\n\nCP2K or DBCSR can scale to thousands of nodes and furter benefit from thread-scalability once communication starts to dominate (due to higher total rank-counts). Thread-scalability (OpenMP) in DBCSR if not CP2K is not equally developed when compared to process scalability (MPI), i.e., higher rank-counts tend to yield better performance on smaller number of systems or nodes. With multiple ranks per GPU, context switches and other overhead can negatively impact performance. However, more ranks are needed to best drive the CPU-dominated portion of the code, and hence GPU and in particular multi-GPU acceleration poses a challenge.\n\nCP2K almost exclusively uses double-precision calculations on CPUs and GPUs (along with DBCSR's need for atomic update instructions for GPUs). Consumer focused GPU offerings often deliver a FLOP-rate ratio between single and double precision up to `SP:DP = 64:1`, which renders them unsuitable for CP2K like not beneficial when compared to modestly many CPU cores. Further, GPU accleration hinges on memory bandwidth rather than compute which further limits the benefit.\n\n# CUDA/HIP Backend\n\nUsers interested to tune kernels for the CUDA/HIP backend and LIBSMM_ACC, can take a look at the [Developer Guide](../../3-developer-guide/3-programming/2-accelerator-backend/2-libsmm_acc/3-tune.html). Following the guide, [tuned parameters](https://github.com/cp2k/dbcsr/tree/develop/src/acc/libsmm_acc/parameters) can be collected for the desired GPU and potentially submitted for the benefit of others.\n\n# OpenCL Backend\n\nThis section shows how to auto-tune a kernel for the OpenCL based LIBSMM library. The process builds a stand-alone driver program which is then driven by an [OpenTuner](https://opentuner.org/) based script guiding the auto-tuning of the desired kernel. The [Developer Guide](../../3-developer-guide/3-programming/2-accelerator-backend/3-libsmm_ocl/1-autotune.html) provides more information, e.g., about constraining execution time or parallelizing the tuning-process as well as how to select and tune an entire set of kernels.\n\nFor simplicity, the GNU Compiler is used to build the afore mentioned driver program, both DBCSR and LIBXSMM are Git-cloned into the same common directory, e.g., the user's `HOME` directory, and the driver is built for tuning double-precision kernels (DP).\n\n```bash\ncd ${HOME}\ngit clone https://github.com/hfp/libxsmm.git\ncd libxsmm\nmake GNU=1 -j\n\ncd ${HOME}\ngit clone https://github.com/cp2k/dbcsr.git\ncd dbcsr/src/acc/opencl\nmake\n```\n\nTuning the 23x23x23-kernel for example is the default case. However, to better illustrate the options, M, N, and K are given explicitly. The `tune_multiply.py` script can be used interactively for example, and terminated with CTRL-C which writes a JSON-file with tuned parameters (note a file `.tune_multiply-double-32x32x32.json` is quietly written every time a better set of parameters is found), and then aggregates all JSON-files in the directory into a CSV-file (`tune_multiply.csv`).\n\n```bash\ncd ${HOME}/dbcsr/src/acc/opencl/smm\n./tune_multiply.py 23x23x23\n```\n\nBeside of interactive termination, above process would also terminate based on OpenTuner's default or can be constrained by the number of steps (experiments), time to be spent, or a combination of both. Details can be found in the [Developer Guide](../../3-developer-guide/3-programming/2-accelerator-backend/2-libsmm_acc/3-tune.html).\n\nSuppose the 23x23x23-kernel was tuned for some time (e.g., 5-10 minutes), tuned parameters can be incorporated into the backend. The aggregated parameters (`tune_multiply.csv`) are automatically embedded when rebuilding the library and driver.\n\n```bash\ncd ${HOME}/dbcsr/src/acc/opencl\nmake\n```\n\nImportant kernels can be further tuned (in addition to spending more time for the process) by widening the set of tuned parameters (`--tuning-level` or `-a` with \"0\" denoting an unrestricted set of tunables).\n\n```bash\ncd ${HOME}/dbcsr/src/acc/opencl/smm\n./tune_multiply.py 23x23x23 -a 0\n```\n\nTo \"continue\" tuning beyond the default level, the previously found parameters must be embedded (by rebuilding the library and driver program) or can be alternatively specified at runtime (`OPENCL_LIBSMM_SMM_PARAMS=/path/to/tune_multiply.csv`).\n" }, { "path": "docs/guide/2-user-guide/index.md", "content": "title: User Guide\n" }, { "path": "docs/guide/3-developer-guide/1-tooling/index.md", "content": "title: Tooling\n\n# Build System\n\nWe support CMake for compilation. See [here](../../2-user-guide/1-installation/index.html) on how to compile and\n[here](../../2-user-guide/1-installation/1-cmake-build-recipes.html) for more CMake details.\n\nCompilations is based on [Fypp](https://github.com/aradi/fypp) meta-progamming package, which is available as submodule.\n\n# CI Setup\n\nDBCSR's CI setup is described in [DBCSR's Github wiki](https://github.com/cp2k/dbcsr/wiki/CI-Setup).\n\n# Development\n\nDBCSR's development (Git branching model, commit messages, releases, etc.) is described in [DBCSR's Github wiki](https://github.com/cp2k/dbcsr/wiki/Development).\n\n" }, { "path": "docs/guide/3-developer-guide/2-documentation/index.md", "content": "title: Documentation\n\n# Documentation\n\n## Build\n\nTo build the documentation you need [FORD](https://github.com/Fortran-FOSS-Programmers/ford).\n\nAfterwards use the `doc` target for the CMake generated Makefile:\n\n```bash\n mkdir build\n cd build\n cmake .. # will look for the `ford` binary\n make doc\n```\n\nNote that in order to generate the documentation with examples (recommended), the following options should be activated in cmake (these are the options' default values)\n\n```bash\n cmake -DUSE_MPI=ON -DWITH_EXAMPLES=ON .. # these options are default and recommended.\n # If set off, the examples' documentation is not generated.\n```\n\nThe documentation (HTML format) will be located in `doc/`. To view it, open `doc/index.html` in a browser.\n\n## Add Pages\n\nTo add pages to the documentation, write Markdown files and add them to the desired location in `dbcsr/docs/guide`. Note that subfolders of `guide` will only be added to the documentation pages if they contain a file `index.md`. For more information on writing pages, see [Ford's documentation](https://github.com/Fortran-FOSS-Programmers/ford/wiki/Writing-Pages).\n" }, { "path": "docs/guide/3-developer-guide/3-programming/1-overview/index.md", "content": "title: Overview\n\n# Code Architecture\n\n![DBCSR code architecture](dbcsr_mm_overview.png)\n\n```\ndbcsr/\n-- src/\n---- acc/: contains all code related to accelerators\n---- base/: base routines needed to abstract away some machine/compiler dependent functionality\n---- block/: block level routines\n---- core/: core matrix data structure\n---- data/: data handling\n---- dist/: data distribution and message passing\n---- mm/: matrix-matrix multiplication\n---- mpi/: wrappers of the MPI routines\n---- ops/: high level operations\n---- tas/: tall-and-skinny matrices\n---- tensors/: block-sparse tensor framework\n---- utils/: utilities\n---- work/\n```\n\n# Distribution Scheme\n\nAssumed square matrix with 20x20 matrix with 5x5 blocks and a 2x2 processor grid\n\n![DBCSR distribution over processors](dbcsr_dist.png)\n\n![DBCSR block scheme](dbcsr_blocks.png)\n\n# List of standard compiler flags\n\n* OpenMP flag to enable multi-threaded parallelization, e.g. `-fopenmp` for GNU and Intel compilers.\n* Warnings, e.g. `-Werror=aliasing -Werror=ampersand -Werror=c-binding-type -Werror=intrinsic-shadow -Werror=intrinsics-std -Werror=line-truncation -Werror=tabs -Werror=target-lifetime -Werror=underflow -Werror=unused-but-set-variable -Werror=unused-variable -Werror=unused-dummy-argument -Werror=conversion -Werror=zerotrip -Werror=uninitialized -Wno-maybe-uninitialized` for GNU compiler.\n* Error checkings (only `Coverage` and `Debug` builds), e.g. `-fcheck=all -ffpe-trap=invalid,zero,overflow -fbacktrace -finit-real=snan -finit-integer=-42 -finit-derived -Werror=realloc-lhs -finline-matmul-limit=0` for GNU compiler.\n\n# List of Macros used in the code\n\n| Macro | Explanation | Language |\n|-|-|-|\n| `__parallel` | Enable MPI runs | Fortran |\n| `__USE_MPI_F08` | Enable use of the modern `mpi_f08` module instead of the `mpi` module to reduce interfacing issues | Fortran |\n| `__NO_MPI_THREAD_SUPPORT_CHECK` | Workaround for MPI libraries that do not declare they are thread safe (funneled) but you want to use them with OpenMP code anyways | Fortran |\n| `__MKL` | Enable use of optimized Intel MKL functions | Fortran\n| `__NO_STATM_ACCESS`, `__STATM_RESIDENT` or `__STATM_TOTAL` | Toggle memory usage reporting between resident memory and total memory. In particular, macOS users must use `-D__NO_STATM_ACCESS` | Fortran |\n| `__NO_ABORT` | Avoid calling abort, but STOP instead (useful for coverage testing, and to avoid core dumps on some systems) | Fortran |\n| `__LIBXSMM` | Enable [LIBXSMM](https://github.com/hfp/libxsmm/) link for optimized small matrix multiplications on CPU | Fortran |\n| `__ACCELERATE` | Must be defined on macOS when Apple's Accelerate framework is used for BLAS and LAPACK (this is due to some interface incompatibilities between Accelerate and reference BLAS/LAPACK) | Fortran |\n| `NDEBUG` | Assertions are stripped (\"compiled out\"), `NDEBUG` is the ANSI-conforming symbol name (not `__NDEBUG`). Regular release builds may carry assertions for safety | Fortran, C, C++ |\n| `__CRAY_PM_ACCEL_ENERGY` or `__CRAY_PM_ENERGY` | Switch on collectin energy profiling on Cray systems | Fortran |\n| `__DBCSR_ACC` | Enable Accelerator compilation | Fortran, C, C++ |\n| `__OPENCL` | Enable OpenCL acceleration | C |\n| `__CUDA_PROFILING` | To turn on Nvidia Tools Extensions. It requires to link `-lnvToolsExt` | Fortran, C, C++ |\n| `__CUDA` | Enable CUDA acceleration | C, C++ |\n| `__HIP` | Enable HIP acceleration | C, C++ |\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/1-code-structure.md", "content": "title: Code Structure\n\n# GPU Backend Code Architecture\n\n```\ndbcsr/\n-- src/\n---- acc/: contains interfaces to ACC and LIBSMM (top-level) as well as backends (subdirectories)\n------ cuda/: CUDA backend\n------ hip/: HIP backend\n------ cuda_hip/: common code for CUDA and HIP\n------ libsmm_acc/: small matrix-matrix operations on GPU (can use either cuda or hip interface)\n------ opencl/: OpenCL backend\n------ opencl/smm/: LIBSMM implementation based on OpenCL\n```\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/2-libsmm_acc/1-kernels.md", "content": "title: Kernels\n\n![kernel parameters and memory](../../../../../media/images/libsmm_acc_parameters_and_memory.png){ width=50% }\n\n{!./src/acc/libsmm_acc/kernels/README.md!}\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/2-libsmm_acc/2-parameters.md", "content": "title: Kernel Parameters\n\n# Kernel Parameters\n\n## Batched Matrix-Matrix Multiplication Kernel Parameters\n\nThe batched matrix-matrix multiplication kernels are templated on:\n\n* the characteristic dimensions of the multiplication: `m, n, k`\n* between 3-7 kernel parameters from (`M`, `N`, `w`, `v`, `threads`, `grouping`, `minblocks`), depending on the algorithm.\n\n## Batched Matrix Transpose Kernel Parameters\n\nThe batched transpose kernels are templated on:\n\n* the characteristic dimensions of the transpose: `m, n`\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/2-libsmm_acc/3-tune.md", "content": "title: Autotuning Framework\n\n{!./src/acc/libsmm_acc/tune/README.md!}\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/2-libsmm_acc/index.md", "content": "title: CUDA/HIP\n\n{!./src/acc/libsmm_acc/README.md!}\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/3-libsmm_ocl/1-autotune.md", "content": "title: Autotune\n\n{!./src/acc/opencl/smm/README-autotune.md!}\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/3-libsmm_ocl/2-bulktune.md", "content": "title: Parameters\n\n{!./src/acc/opencl/smm/README-bulktune.md!}\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/3-libsmm_ocl/index.md", "content": "title: OpenCL\n\n{!./src/acc/opencl/README.md!}\n\n{!./src/acc/opencl/smm/README.md!}\n" }, { "path": "docs/guide/3-developer-guide/3-programming/2-accelerator-backend/index.md", "content": "title: Accelerator Backend\n\n{!./src/acc/README.md!}\n" }, { "path": "docs/guide/3-developer-guide/3-programming/index.md", "content": "title: Programming\n" }, { "path": "docs/guide/3-developer-guide/4-performance/1-insights.md", "content": "title: Insights\n\n# Insights into Performance\n\n## Read Timing & Statistics Reports\n\nAt the end of an output file, a report of DBCSR's statistics and timings can be found.\n\n### Statistics\n\nThe STATISTICS section of the output file provides some information on matrix-matrix multiplications that were run and their performance characteristics.\n\nExample:\n\n```\n-------------------------------------------------------------------------------\n- -\n- DBCSR STATISTICS -\n- -\n-------------------------------------------------------------------------------\nCOUNTER TOTAL BLAS SMM ACC\nflops 23 x 23 x 23 687272462200 0.0% 0.0% 100.0%\nflops inhomo. stacks 0 0.0% 0.0% 0.0%\nflops total 687.272462E+09 0.0% 0.0% 100.0%\nflops max/rank 687.272462E+09 0.0% 0.0% 100.0%\nmatmuls inhomo. stacks 0 0.0% 0.0% 0.0%\nmatmuls total 28243300 0.0% 0.0% 100.0%\nnumber of processed stacks 1600 0.0% 0.0% 100.0%\naverage stack size 0.0 0.0 17652.1\nmarketing flops 1.076458E+12\n-------------------------------------------------------------------------------\n# multiplications 50\nmax memory usage/rank 16.650822E+09\n# max total images/rank 1\n# max 3D layers 1\n# MPI messages exchanged 0\nMPI messages size (bytes):\n total size 0.000000E+00\n min size 0.000000E+00\n max size 0.000000E+00\n average size 0.000000E+00\nMPI breakdown and total messages size (bytes):\n size <= 128 0 0\n 128 < size <= 8192 0 0\n 8192 < size <= 32768 0 0\n 32768 < size <= 131072 0 0\n 131072 < size <= 4194304 0 0\n 4194304 < size <= 16777216 0 0\n 16777216 < size 0 0\n-------------------------------------------------------------------------------\n```\n\n#### How to Read the Columns\n\n- `TOTAL`: total flops\n- `BLAS`: percentage of flops run on BLAS (this could be CUBLAS or HIPBLAS)\n- `SMM`: percentage of flops run on SMM (libsmm or libxsmm, CPU)\n- `ACC`: percentage of flops run on ACC (libsmm_acc, DBCSR's GPU-accelerated backend)\n\n#### How to Read the Rows (Counters)\n\nEvery time \"matrix-matrix multiplication\" is mentionned in this paragraph, it refers *not* to the sparse multiplication of large matrices, but the multiplication of small dense blocks that the large sparse matrix was decomposed into.\n\n- `flops 23 x 23 x 23`: indicates that batched matrix-matrix multiplication kernels with matrix dimensions (m, n, k) = (23, 23, 23) was run, and provides info on its flops. If several batched matrix-matrix multiplications of different matrix dimensions (m, n, k) were run, they would appear as subsequent separate rows.\n- `flops inhomo. stacks`: flops of so-called \"inhomogeneous stacks\". These are stacks of batched-matrix-matrix multiplications where not all multiplications contained have the same matrix dimensions (m, n, k).\n- `flops total`: total flops for all stacks of matrix-matrix multiplication.\n- `flops max/rank`: flops of the MPI rank with the most flops.\n- `matmuls inhomo. stacks`: number of matrix-matrix multiplications run in inhomogeneous stacks.\n- `matmuls total`: number of matrix-matrix multiplications run in total.\n- `number of processed stacks`: number of stacks of batched matrix-matrix multiplication.\n- `average stack size`: average over all stacks of the stack size (i.e. the number of matrix-matrix multiplications that a stack contains).\n\n### Timings\n\nExample of the statistics section of the output file:\n\n```\n-------------------------------------------------------------------------------\n- -\n- T I M I N G -\n- -\n-------------------------------------------------------------------------------\nSUBROUTINE CALLS ASD SELF TIME TOTAL TIME MAXRANK\n MAXIMUM AVERAGE MAXIMUM AVERAGE MAXIMUM\ndbcsr_performance_driver 1 1.0 0.000 0.000 102.563 102.563 0\ndbcsr_perf_multiply_low 1 2.0 0.002 0.002 102.563 102.563 0\nperf_multiply 1 3.0 0.003 0.003 102.077 102.077 0\n[...]\n-------------------------------------------------------------------------------\n```\n\nThe columns describe:\n\n- `SUBROUTINE`: the name of the fortran subroutine (or c++ function) timed.\n- `CALLS`: number of times the subroutine was called.\n- `ASD`: average stack depth: the average number of entries on the call stack when this subroutine is called.\n- `SELF TIME`: how much time is spent in the subroutine, or in non-timed subroutines called by this subroutine.\n - `AVERAGE`: the self time averaged over all MPI ranks,\n - `MAXIMUM`: the self time maximum over all MPI ranks,\n - `AVERAGE` and `MAXIMUM` can be used to locate load-imbalance or synchronization points.\n- `TOTAL TIME`: how much time is spent in the subroutine, including the time spent in timed subroutines.\n - `AVERAGE`: averaged over all MPI ranks\n - `MAXIMUM`: maximum over all MPI ranks\n - `AVERAGE` and `MAXIMUM` can be used to locate load-imbalance or synchronization points.\n- `MAXRANKS`:\n\n#### Time spent in Just-In-Time (JIT) Compilation\n\nFor performance debugging and in order to check how much time a program spends doing JIT, look for the functions `jit_kernel_multiply` and `jit_kernel_transpose`.\n\n#### How to Time a Function\n\nBy default, the most important subroutines are timed in DBCSR.\n\nIf you want to time a subroutine or function that is not timed already, call `timeset` with a routine name and a handle at the beginning of the function, and `timestop` with the same handle at the end of the function.\n\nFor examples, just `grep` for `timeset` and `timestop` in the codebase.\n\nThis can be done both in fortran code and in the c++ code.\n" }, { "path": "docs/guide/3-developer-guide/4-performance/2-just-in-time-compilation.md", "content": "title: JIT\n\n# Just-In-Time (JIT) Compilation\n\nDBCSR's GPU backends rely on templated kernels for batched matrix multiplication and matrix transpose (CUDA/HIP as well as OpenCL backend). If DBCSR were to compile kernels for all possible triplets or MxNxKs (in the case of transposes, for all possible MxNs) ahead-of-time (AOT), it would not only bloat the size of the library but also take a long time to compile the code. Reducing the number of triplets to a \"practical set\" would either sacrifice performance or limit potential acceleration to certain workloads.\n\nInstead, kernels are generated Just-In-Time (JIT) or \"on the fly\", i.e., at runtime, as they are requested by the application and workload. For LIBSMM_ACC, the JIT infrastructure is based on [CUDA NVRTC](https://docs.nvidia.com/cuda/nvrtc/), a runtime compilation library for CUDA C++. The OpenCL based LIBSMM relies on the OpenCL runtime library to perform JIT compilation.\n\nNo matter which runtime is used and whether JIT compilation is in the order of ~500ms per kernel or not, the compilation time becomes significant during the process of auto-tuning a set of kernels. Therefore extra documentation is provided in either case (CUDA/HIP or OpenCL) on how to collect tuned parameters or to eventually submit a set of tuned parameters for the benefit of others.\n\nTo check how much time a program spends for JIT compilation, GPU-backends contribute `jit_kernel_multiply` and `jit_kernel_transpose` entries to the [timings report](1-insights.html). This report appears when the application terminates (final output). The OpenCL backend supports additional [Runtime Settings](../../3-developer-guide/3-programming/2-accelerator-backend/3-opencl-backend.html), e.g., to report compilation time on a per-kernel basis (`ACC_OPENCL_VERBOSE=2`).\n" }, { "path": "docs/guide/3-developer-guide/4-performance/index.md", "content": "title: Performance\n" }, { "path": "docs/guide/3-developer-guide/index.md", "content": "title: Developer Guide\n" }, { "path": "docs/guide/index.md", "content": "title: Guide\n\n" }, { "path": "examples/.gitignore", "content": "*.x\n" }, { "path": "examples/CMakeLists.txt", "content": "set(DBCSR_PROGRAM_SRCS_FTN dbcsr_example_1.F dbcsr_example_2.F\n dbcsr_example_3.F dbcsr_tensor_example_1.F)\n\nset(DBCSR_PROGRAM_SRCS_CPP dbcsr_example_3.cpp dbcsr_tensor_example_2.cpp)\n\n# Compile Fortran examples\nforeach (dbcsr_program_src ${DBCSR_PROGRAM_SRCS_FTN})\n get_filename_component(dbcsr_program_name ${dbcsr_program_src} NAME_WE)\n add_executable(${dbcsr_program_name} ${dbcsr_program_src})\n target_link_libraries(${dbcsr_program_name} dbcsr)\n if (OpenMP_FOUND)\n target_link_libraries(${dbcsr_program_name} OpenMP::OpenMP_Fortran)\n endif ()\n\n # with the Intel compiler CMake 3.12 seems to forget that the source is\n # actually Fortran and needs to be told explicitly:\n if (NOT \"${CMAKE_Fortran_COMPILER_ID}\" STREQUAL IntelLLVM)\n set_target_properties(${dbcsr_program_name} PROPERTIES LINKER_LANGUAGE\n Fortran)\n endif ()\nendforeach ()\n\n# override -Werror for certain translation units\nif ((CMAKE_Fortran_COMPILER_ID STREQUAL \"GNU\")\n AND (CMAKE_Fortran_COMPILER_VERSION VERSION_GREATER_EQUAL 10))\n set_source_files_properties(dbcsr_tensor_example_1.F PROPERTIES COMPILE_FLAGS\n -Wno-error)\nendif ()\n\n# Compile C++ examples\nif (WITH_C_API)\n foreach (dbcsr_program_src ${DBCSR_PROGRAM_SRCS_CPP})\n get_filename_component(dbcsr_program_name ${dbcsr_program_src} NAME_WE)\n set(dbcsr_program_name ${dbcsr_program_name}_cpp)\n add_executable(${dbcsr_program_name} ${dbcsr_program_src})\n target_link_libraries(${dbcsr_program_name} dbcsr_c MPI::MPI_CXX)\n if (NOT \"${CMAKE_Fortran_COMPILER_ID}\" STREQUAL IntelLLVM)\n set_target_properties(${dbcsr_program_name} PROPERTIES LINKER_LANGUAGE\n Fortran)\n endif ()\n if (OpenMP_FOUND)\n target_compile_options(${dbcsr_program_name} PRIVATE ${OpenMP_CXX_FLAGS})\n target_link_libraries(${dbcsr_program_name} OpenMP::OpenMP_Fortran)\n endif ()\n\n if (CMAKE_CXX_COMPILER_ID STREQUAL \"Cray\")\n # for recent Cray compiler versions CMake doesn't know\n target_compile_options(${dbcsr_program_name} PRIVATE \"-hstd=c++14\")\n else ()\n target_compile_features(${dbcsr_program_name} PRIVATE cxx_std_14)\n endif ()\n endforeach ()\nendif ()\n\n# =================================== DOCUMENTATION GENERATION Copy example\n# source files into the build directory so that their documentation can be\n# generated by FORD\n\nset(DBCSR_PROGRAM_SRCS ${DBCSR_PROGRAM_SRCS_FTN} ${DBCSR_PROGRAM_SRCS_CPP})\n\n# Make a list of the copy commands\nset(example_copy_commands)\nforeach (example ${DBCSR_PROGRAM_SRCS})\n list(\n APPEND\n example_copy_commands\n COMMAND\n ${CMAKE_COMMAND}\n -E\n copy\n ${CMAKE_SOURCE_DIR}/examples/${example}\n ${CMAKE_BINARY_DIR}/examples)\nendforeach ()\n\nadd_custom_target(\n doc_copy_examples\n COMMENT \"Copy examples for documentation generation\"\n COMMAND mkdir -p ${CMAKE_BINARY_DIR}/examples ${example_copy_commands}\n VERBATIM)\n" }, { "path": "examples/README.md", "content": "# Examples\n\n- [`dbcsr_example_1`](dbcsr_example_1.F): how to create a dbcsr matrix (fortran)\n- [`dbcsr_example_2`](dbcsr_example_2.F): how to set a dbcsr matrix (fortran)\n- `dbcsr_example_3`: how to multiply two dbcsr matrices ([fortran](dbcsr_example_3.F) and [cpp](dbcsr_example_3.cpp))\n- [`dbcsr_tensor_example_1`](dbcsr_tensor_example_1.F): how to create a dbcsr matrix (fortran)\n - the example can be run with different parameters, controlling block size, sparsity, verbosity and more\n- [`dbcsr_tensor_example_2`](dbcsr_tensor_example_2.cpp): tensor contraction example (cpp)\n - tensor1 x tensor2 = tensor3, (13|2)x(54|21)=(3|45)\n\n## Build\n\nCompile the DBCSR library, using `-DUSE_MPI=ON -DWITH_EXAMPLES=ON`.\n\nThe examples require MPI. Furthermore, if you are using threading, MPI_THREAD_FUNNELED mode is required.\n\n## Run\n\nYou can run the examples, for instance from the `build` directory, as follows:\n\n```bash\nsrun -N 1 --ntasks-per-core 2 --ntasks-per-node 12 --cpus-per-task 2 ./examples/dbcsr_example_1\n```\n\n### Run tensor examples\n\nHow to run (this example and DBCSR for tensors in general):\n* best performance is obtained by running with mpi and one openmp thread per rank.\n* ideally number of mpi ranks should be composed of small prime factors (e.g. powers of 2).\n* for sparse data & heterogeneous block sizes, DBCSR should be run on CPUs with libxsmm backend.\n* for dense data best performance is obtained by choosing homogeneous block sizes of 64 and by compiling with GPU support.\n" }, { "path": "examples/dbcsr_example_1.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_example_1\n !! DBCSR example 1:\n !! This example shows how to create a DBCSR matrix\n\n USE mpi\n USE dbcsr_api, ONLY: &\n dbcsr_create, dbcsr_distribution_new, dbcsr_distribution_release, dbcsr_distribution_type, &\n dbcsr_finalize, dbcsr_finalize_lib, dbcsr_init_lib, dbcsr_print, dbcsr_release, &\n dbcsr_type, dbcsr_type_no_symmetry, dbcsr_type_real_8\n\n IMPLICIT NONE\n\n TYPE(dbcsr_type) :: matrix_a\n\n INTEGER, DIMENSION(:), POINTER :: col_blk_sizes, row_blk_sizes\n INTEGER :: group, numnodes, mynode, nblkrows_total, &\n nblkcols_total, ierr\n INTEGER, DIMENSION(2) :: npdims\n INTEGER, DIMENSION(:), POINTER :: col_dist, row_dist\n TYPE(dbcsr_distribution_type) :: dist\n LOGICAL, DIMENSION(2) :: period = .TRUE.\n!$ INTEGER :: provided_tsl\n\n !***************************************************************************************\n\n !\n ! initialize mpi\n!$ IF (.FALSE.) THEN\n CALL mpi_init(ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Init\"\n!$ ELSE\n!$ CALL mpi_init_thread(MPI_THREAD_FUNNELED, provided_tsl, ierr)\n!$ IF (ierr /= 0) STOP \"Error in MPI_Init_thread\"\n!$ IF (provided_tsl .LT. MPI_THREAD_FUNNELED) THEN\n!$ STOP \"MPI library does not support the requested level of threading (MPI_THREAD_FUNNELED).\"\n!$ END IF\n!$ END IF\n\n !\n ! setup the mpi environment\n CALL mpi_comm_size(MPI_COMM_WORLD, numnodes, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_size\"\n npdims(:) = 0\n CALL mpi_dims_create(numnodes, 2, npdims, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Dims_create\"\n CALL mpi_cart_create(MPI_COMM_WORLD, 2, npdims, period, .FALSE., group, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Cart_create\"\n\n CALL mpi_comm_rank(MPI_COMM_WORLD, mynode, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_rank\"\n WRITE (*, *) 'mynode ', mynode, ' numnodes', numnodes\n\n !***************************************************************************************\n !\n ! initialize the DBCSR library\n CALL dbcsr_init_lib(MPI_COMM_WORLD)\n\n !\n ! the matrix will contain nblkrows_total row blocks and nblkcols_total column blocks\n nblkrows_total = 4\n nblkcols_total = 3\n\n !\n ! set the block size for each row and column\n ALLOCATE (row_blk_sizes(nblkrows_total), col_blk_sizes(nblkcols_total))\n row_blk_sizes(:) = 2\n col_blk_sizes(:) = 3\n\n !\n ! set the row and column distributions (here the distribution is set randomly)\n CALL random_dist(row_dist, nblkrows_total, npdims(1))\n CALL random_dist(col_dist, nblkcols_total, npdims(2))\n\n !\n ! set the DBCSR distribution object\n CALL dbcsr_distribution_new(dist, group=group, row_dist=row_dist, col_dist=col_dist, reuse_arrays=.TRUE.)\n\n !\n ! create the DBCSR matrix, i.e. a double precision non symmetric matrix\n ! with nblkrows_total x nblkcols_total blocks and\n ! sizes \"sum(row_blk_sizes)\" x \"sum(col_blk_sizes)\", distributed as\n ! specified by the dist object\n CALL dbcsr_create(matrix=matrix_a, &\n name=\"this is my matrix a\", &\n dist=dist, &\n matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_sizes, &\n col_blk_size=col_blk_sizes, &\n data_type=dbcsr_type_real_8, &\n reuse_arrays=.TRUE.)\n\n !\n ! finalize the DBCSR matrix\n CALL dbcsr_finalize(matrix_a)\n\n !\n ! print the *empty* matrix\n CALL dbcsr_print(matrix_a)\n\n !\n ! release the matrix\n CALL dbcsr_release(matrix_a)\n\n !\n ! release the distribution\n CALL dbcsr_distribution_release(dist)\n\n !***************************************************************************************\n !\n\n ! free comm\n CALL mpi_comm_free(group, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_free\"\n\n ! finalize the DBCSR library\n CALL dbcsr_finalize_lib()\n\n !\n ! finalize mpi\n CALL mpi_finalize(ierr)\n IF (ierr /= 0) STOP \"Error in MPI_finalize\"\n\n !***************************************************************************************\n\nCONTAINS\n\n SUBROUTINE random_dist(dist_array, dist_size, nbins)\n INTEGER, DIMENSION(:), INTENT(out), POINTER :: dist_array\n INTEGER, INTENT(in) :: dist_size, nbins\n\n INTEGER :: i\n\n ALLOCATE (dist_array(dist_size))\n DO i = 1, dist_size\n dist_array(i) = MODULO(nbins - i, nbins)\n END DO\n\n END SUBROUTINE random_dist\n\nEND PROGRAM dbcsr_example_1\n" }, { "path": "examples/dbcsr_example_2.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_example_2\n !! DBCSR example 2:\n !! This example shows how to set a DBCSR matrix\n\n USE mpi\n USE dbcsr_api, ONLY: &\n dbcsr_create, dbcsr_distribution_get, dbcsr_distribution_new, dbcsr_distribution_release, &\n dbcsr_distribution_type, dbcsr_finalize, dbcsr_finalize_lib, dbcsr_get_stored_coordinates, &\n dbcsr_init_lib, dbcsr_nblkcols_total, dbcsr_nblkrows_total, dbcsr_print, dbcsr_put_block, &\n dbcsr_release, dbcsr_type, dbcsr_type_no_symmetry, dbcsr_type_real_8\n\n IMPLICIT NONE\n\n TYPE(dbcsr_type) :: matrix_a\n\n INTEGER, DIMENSION(:), POINTER :: col_blk_sizes, row_blk_sizes\n INTEGER :: group, numnodes, mynode, ierr, &\n nblkrows_total, nblkcols_total, node_holds_blk, max_nze, nze, &\n row, col, row_s, col_s, max_row_size, max_col_size\n INTEGER, DIMENSION(2) :: npdims\n INTEGER, DIMENSION(:), POINTER :: col_dist, row_dist\n TYPE(dbcsr_distribution_type) :: dist\n REAL(KIND=KIND(0.0D0)), DIMENSION(:), ALLOCATABLE :: values\n LOGICAL, DIMENSION(2) :: period = .TRUE.\n!$ INTEGER :: provided_tsl\n\n !***************************************************************************************\n\n !\n ! initialize mpi\n!$ IF (.FALSE.) THEN\n CALL mpi_init(ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Init\"\n!$ ELSE\n!$ CALL mpi_init_thread(MPI_THREAD_FUNNELED, provided_tsl, ierr)\n!$ IF (ierr /= 0) STOP \"Error in MPI_Init_thread\"\n!$ IF (provided_tsl .LT. MPI_THREAD_FUNNELED) THEN\n!$ STOP \"MPI library does not support the requested level of threading (MPI_THREAD_FUNNELED).\"\n!$ END IF\n!$ END IF\n\n !\n ! setup the mpi environment\n CALL mpi_comm_size(MPI_COMM_WORLD, numnodes, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_size\"\n npdims(:) = 0\n CALL mpi_dims_create(numnodes, 2, npdims, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Dims_create\"\n CALL mpi_cart_create(MPI_COMM_WORLD, 2, npdims, period, .FALSE., group, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Cart_create\"\n\n CALL mpi_comm_rank(MPI_COMM_WORLD, mynode, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_rank\"\n WRITE (*, *) 'mynode ', mynode, ' numnodes', numnodes\n\n !***************************************************************************************\n !\n ! initialize the DBCSR library\n CALL dbcsr_init_lib(MPI_COMM_WORLD)\n\n !\n ! the matrix will contain nblkrows_total row blocks and nblkcols_total column blocks\n nblkrows_total = 4\n nblkcols_total = 4\n\n !\n ! set the block size for each row and column\n ALLOCATE (row_blk_sizes(nblkrows_total), col_blk_sizes(nblkcols_total))\n row_blk_sizes(:) = 2\n col_blk_sizes(:) = 2\n\n !\n ! set the row and column distributions (here the distribution is set randomly)\n CALL random_dist(row_dist, nblkrows_total, npdims(1))\n CALL random_dist(col_dist, nblkcols_total, npdims(2))\n\n !\n ! set the DBCSR distribution object\n CALL dbcsr_distribution_new(dist, group=group, row_dist=row_dist, col_dist=col_dist, reuse_arrays=.TRUE.)\n\n !\n ! create the DBCSR matrix, i.e. a double precision non symmetric matrix\n ! with nblkrows_total x nblkcols_total blocks and\n ! sizes \"sum(row_blk_sizes)\" x \"sum(col_blk_sizes)\", distributed as\n ! specified by the dist object\n CALL dbcsr_create(matrix=matrix_a, &\n name=\"this is my matrix a\", &\n dist=dist, &\n matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_sizes, &\n col_blk_size=col_blk_sizes, &\n data_type=dbcsr_type_real_8)\n\n !\n ! get the node id from the matrix\n CALL dbcsr_distribution_get(dist, mynode=mynode)\n\n !\n ! get the maximum block size of the matrix\n max_row_size = MAXVAL(row_blk_sizes)\n max_col_size = MAXVAL(col_blk_sizes)\n max_nze = max_row_size*max_col_size\n\n !\n ! allocate a 1d buffer that is needed to put a block\n ! into the matrix (2d buffer can also be used)\n ALLOCATE (values(max_nze))\n\n !\n ! loop over the blocks, build a tridiagonal matrix\n DO row = 1, dbcsr_nblkrows_total(matrix_a)\n DO col = MAX(row - 1, 1), MIN(row + 1, dbcsr_nblkcols_total(matrix_a))\n !\n ! get the node id that holds this (row, col) block\n row_s = row; col_s = col\n CALL dbcsr_get_stored_coordinates(matrix_a, row_s, col_s, node_holds_blk)\n !\n ! put the block on the right node\n IF (node_holds_blk .EQ. mynode) THEN\n !\n ! get the size of the block\n nze = row_blk_sizes(row_s)*col_blk_sizes(col_s)\n !\n ! fill the matrix with the random block\n CALL RANDOM_NUMBER(values(1:nze))\n CALL dbcsr_put_block(matrix_a, row_s, col_s, values(1:nze))\n END IF\n END DO\n END DO\n DEALLOCATE (values)\n\n !\n ! finalize the DBCSR matrix\n CALL dbcsr_finalize(matrix_a)\n\n !\n ! print the matrix\n CALL dbcsr_print(matrix_a)\n\n !\n ! release the matrix\n CALL dbcsr_release(matrix_a)\n\n CALL dbcsr_distribution_release(dist)\n DEALLOCATE (row_blk_sizes, col_blk_sizes)\n\n !***************************************************************************************\n !\n\n ! free comm\n CALL mpi_comm_free(group, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_free\"\n\n ! finalize the DBCSR library\n CALL dbcsr_finalize_lib()\n\n !\n ! finalize mpi\n CALL mpi_finalize(ierr)\n IF (ierr /= 0) STOP \"Error in MPI_finalize\"\n\n !***************************************************************************************\n\nCONTAINS\n\n SUBROUTINE random_dist(dist_array, dist_size, nbins)\n INTEGER, DIMENSION(:), INTENT(out), POINTER :: dist_array\n INTEGER, INTENT(in) :: dist_size, nbins\n\n INTEGER :: i\n\n ALLOCATE (dist_array(dist_size))\n DO i = 1, dist_size\n dist_array(i) = MODULO(nbins - i, nbins)\n END DO\n\n END SUBROUTINE random_dist\n\nEND PROGRAM dbcsr_example_2\n" }, { "path": "examples/dbcsr_example_3.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_example_3\n !! DBCSR example 3:\n !! This example shows how to multiply two dbcsr matrices\n\n USE mpi\n USE dbcsr_api, ONLY: &\n dbcsr_create, dbcsr_distribution_get, dbcsr_distribution_new, dbcsr_distribution_release, &\n dbcsr_distribution_type, dbcsr_finalize, dbcsr_finalize_lib, dbcsr_get_stored_coordinates, &\n dbcsr_init_lib, dbcsr_multiply, dbcsr_nblkcols_total, dbcsr_nblkrows_total, dbcsr_print, &\n dbcsr_put_block, dbcsr_release, dbcsr_type, dbcsr_type_no_symmetry, dbcsr_type_real_8\n\n IMPLICIT NONE\n\n TYPE(dbcsr_type) :: matrix_a, matrix_b, matrix_c\n\n INTEGER, DIMENSION(:), POINTER :: col_blk_sizes, row_blk_sizes\n INTEGER :: group, numnodes, mynode, ierr, &\n nblkrows_total, nblkcols_total, &\n node_holds_blk, max_nze, nze, row, col, row_s, col_s, &\n max_row_size, max_col_size\n INTEGER, DIMENSION(2) :: npdims\n INTEGER, DIMENSION(:), POINTER :: col_dist, row_dist\n TYPE(dbcsr_distribution_type) :: dist\n REAL(KIND=KIND(0.0D0)), DIMENSION(:), ALLOCATABLE :: values\n LOGICAL, DIMENSION(2) :: period = .TRUE.\n!$ INTEGER :: provided_tsl\n\n !***************************************************************************************\n\n !\n ! initialize mpi\n!$ IF (.FALSE.) THEN\n CALL mpi_init(ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Init\"\n!$ ELSE\n!$ CALL mpi_init_thread(MPI_THREAD_FUNNELED, provided_tsl, ierr)\n!$ IF (ierr /= 0) STOP \"Error in MPI_Init_thread\"\n!$ IF (provided_tsl .LT. MPI_THREAD_FUNNELED) THEN\n!$ STOP \"MPI library does not support the requested level of threading (MPI_THREAD_FUNNELED).\"\n!$ END IF\n!$ END IF\n\n !\n ! setup the mpi environment\n CALL mpi_comm_size(MPI_COMM_WORLD, numnodes, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_size\"\n npdims(:) = 0\n CALL mpi_dims_create(numnodes, 2, npdims, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Dims_create\"\n CALL mpi_cart_create(MPI_COMM_WORLD, 2, npdims, period, .FALSE., group, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Cart_create\"\n\n CALL mpi_comm_rank(MPI_COMM_WORLD, mynode, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_rank\"\n WRITE (*, *) 'mynode ', mynode, ' numnodes', numnodes\n\n !***************************************************************************************\n !\n ! initialize the DBCSR library\n CALL dbcsr_init_lib(MPI_COMM_WORLD)\n\n !\n ! the matrix will contain nblkrows_total row blocks and nblkcols_total column blocks\n nblkrows_total = 4\n nblkcols_total = 4\n\n !\n ! set the block size for each row and column\n ALLOCATE (row_blk_sizes(nblkrows_total), col_blk_sizes(nblkcols_total))\n row_blk_sizes(:) = 2\n col_blk_sizes(:) = 2\n\n !\n ! set the row and column distributions (here the distribution is set randomly)\n CALL random_dist(row_dist, nblkrows_total, npdims(1))\n CALL random_dist(col_dist, nblkcols_total, npdims(2))\n\n !\n ! set the dbcsr distribution object\n CALL dbcsr_distribution_new(dist, group=group, row_dist=row_dist, col_dist=col_dist, reuse_arrays=.TRUE.)\n\n !\n ! create the dbcsr matrices, i.e. a double precision non symmetric matrix\n ! with nblkrows_total x nblkcols_total blocks and\n ! sizes \"sum(row_blk_sizes)\" x \"sum(col_blk_sizes)\", distributed as\n ! specified by the dist object\n CALL dbcsr_create(matrix=matrix_a, &\n name=\"this is my matrix a\", &\n dist=dist, &\n matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_sizes, &\n col_blk_size=col_blk_sizes, &\n data_type=dbcsr_type_real_8)\n\n CALL dbcsr_create(matrix=matrix_b, &\n name=\"this is my matrix b\", &\n dist=dist, &\n matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_sizes, &\n col_blk_size=col_blk_sizes, &\n data_type=dbcsr_type_real_8)\n\n CALL dbcsr_create(matrix=matrix_c, &\n name=\"this is my matrix c\", &\n dist=dist, &\n matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_sizes, &\n col_blk_size=col_blk_sizes, &\n data_type=dbcsr_type_real_8)\n\n ! get the maximum block size of the matrix\n max_row_size = MAXVAL(row_blk_sizes)\n max_col_size = MAXVAL(col_blk_sizes)\n max_nze = max_row_size*max_col_size\n\n !\n ! set up the a matrix\n CALL dbcsr_distribution_get(dist, mynode=mynode)\n ALLOCATE (values(max_nze))\n DO row = 1, dbcsr_nblkrows_total(matrix_a)\n DO col = MAX(row - 1, 1), MIN(row + 1, dbcsr_nblkcols_total(matrix_a))\n row_s = row; col_s = col\n CALL dbcsr_get_stored_coordinates(matrix_a, row_s, col_s, node_holds_blk)\n IF (node_holds_blk .EQ. mynode) THEN\n nze = row_blk_sizes(row_s)*col_blk_sizes(col_s)\n CALL RANDOM_NUMBER(values(1:nze))\n CALL dbcsr_put_block(matrix_a, row_s, col_s, values(1:nze))\n END IF\n END DO\n END DO\n DEALLOCATE (values)\n\n !\n ! set up the b matrix\n CALL dbcsr_distribution_get(dist, mynode=mynode)\n ALLOCATE (values(max_nze))\n DO row = 1, dbcsr_nblkrows_total(matrix_b)\n DO col = MAX(row - 1, 1), MIN(row + 1, dbcsr_nblkcols_total(matrix_b))\n row_s = row; col_s = col\n CALL dbcsr_get_stored_coordinates(matrix_b, row_s, col_s, node_holds_blk)\n IF (node_holds_blk .EQ. mynode) THEN\n nze = row_blk_sizes(row_s)*col_blk_sizes(col_s)\n CALL RANDOM_NUMBER(values(1:nze))\n CALL dbcsr_put_block(matrix_b, row_s, col_s, values(1:nze))\n END IF\n END DO\n END DO\n DEALLOCATE (values)\n\n !\n ! finalize the dbcsr matrices\n CALL dbcsr_finalize(matrix_a)\n CALL dbcsr_finalize(matrix_b)\n CALL dbcsr_finalize(matrix_c)\n\n !\n ! multiply the matrices\n CALL dbcsr_multiply('N', 'N', 1.0D0, matrix_a, matrix_b, 0.0D0, matrix_c)\n\n !\n ! print the matrices\n CALL dbcsr_print(matrix_a)\n CALL dbcsr_print(matrix_b)\n CALL dbcsr_print(matrix_c)\n\n !\n ! release the matrices\n CALL dbcsr_release(matrix_a)\n CALL dbcsr_release(matrix_b)\n CALL dbcsr_release(matrix_c)\n\n CALL dbcsr_distribution_release(dist)\n DEALLOCATE (row_blk_sizes, col_blk_sizes)\n\n ! free comm\n CALL mpi_comm_free(group, ierr)\n IF (ierr /= 0) STOP \"Error in MPI_Comm_free\"\n\n ! finalize the DBCSR library\n CALL dbcsr_finalize_lib()\n\n !\n ! finalize mpi\n CALL mpi_finalize(ierr)\n IF (ierr /= 0) STOP \"Error in MPI_finalize\"\n\n !***************************************************************************************\n\nCONTAINS\n\n SUBROUTINE random_dist(dist_array, dist_size, nbins)\n INTEGER, DIMENSION(:), INTENT(out), POINTER :: dist_array\n INTEGER, INTENT(in) :: dist_size, nbins\n\n INTEGER :: i\n\n ALLOCATE (dist_array(dist_size))\n DO i = 1, dist_size\n dist_array(i) = MODULO(nbins - i, nbins)\n END DO\n\n END SUBROUTINE random_dist\n\nEND PROGRAM dbcsr_example_3\n" }, { "path": "examples/dbcsr_example_3.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n\n#include \n\n#include \n\n// Random distribution by using round-robin assignment\n// of blocks to processors\nstd::vector random_dist(int dist_size, int nbins) {\n std::vector dist(dist_size);\n\n for (int i = 0; i < dist_size; i++) dist[i] = i % nbins;\n\n return dist;\n}\n\n// DBCSR example 3\n// This example shows how to multiply two DBCSR matrices\nint main(int argc, char* argv[]) {\n // initialize MPI\n MPI_Init(&argc, &argv);\n\n // setup the mpi environment\n int mpi_size, mpi_rank;\n MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);\n MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);\n\n // make 2D grid\n int dims[2] = {0};\n MPI_Dims_create(mpi_size, 2, dims);\n int periods[2] = {1};\n int reorder = 0;\n MPI_Comm group;\n MPI_Cart_create(MPI_COMM_WORLD, 2, dims, periods, reorder, &group);\n\n int coord[2];\n MPI_Cart_coords(group, mpi_rank, 2, coord);\n\n for (int i = 0; i != mpi_size; ++i) {\n if (mpi_rank == i) {\n std::cout << \"I'm processor \" << mpi_rank << \" over \" << mpi_size << \" proc\"\n << \", (\" << coord[0] << \", \" << coord[1] << \") in the 2D grid\" << std::endl;\n }\n MPI_Barrier(MPI_COMM_WORLD);\n }\n\n // initialize the DBCSR library\n c_dbcsr_init_lib(MPI_COMM_WORLD, nullptr);\n\n // Total number of blocks\n int nrows_1 = 4;\n int ncols_1 = 5;\n int nrows_2 = 5;\n int ncols_2 = 4;\n\n // Block sizes\n std::vector row_blk_sizes_1 = {2, 3, 5, 2};\n std::vector col_blk_sizes_1 = {3, 3, 4, 6, 2};\n std::vector row_blk_sizes_2 = col_blk_sizes_1;\n std::vector col_blk_sizes_2 = {5, 2, 5, 3};\n\n auto row_dist_1 = random_dist(nrows_1, dims[0]);\n auto col_dist_1 = random_dist(ncols_1, dims[1]);\n auto row_dist_2 = random_dist(nrows_2, dims[0]);\n auto col_dist_2 = random_dist(ncols_2, dims[1]);\n\n dbcsr_distribution dist1 = nullptr;\n dbcsr_distribution dist2 = nullptr;\n dbcsr_distribution dist3 = nullptr;\n\n //create distributions\n c_dbcsr_distribution_new(&dist1, group, row_dist_1.data(), row_dist_1.size(), col_dist_1.data(), col_dist_1.size());\n\n c_dbcsr_distribution_new(&dist2, group, row_dist_2.data(), row_dist_2.size(), col_dist_2.data(), col_dist_2.size());\n\n c_dbcsr_distribution_new(&dist3, group, row_dist_1.data(), row_dist_1.size(), col_dist_2.data(), col_dist_2.size());\n\n // Fill all blocks, i.e. dense matrices\n auto fill_matrix = [&](void* matrix, std::vector& irblks, std::vector& icblks) {\n std::vector block;\n std::vector loc_irblks, loc_icblks;\n\n for (int i = 0; i != (int)irblks.size(); ++i) {\n int blk_proc = -1;\n int ix = irblks[i];\n int jx = icblks[i];\n c_dbcsr_get_stored_coordinates(matrix, ix, jx, &blk_proc);\n if (mpi_rank == blk_proc) {\n loc_irblks.push_back(ix);\n loc_icblks.push_back(jx);\n }\n }\n\n c_dbcsr_reserve_blocks(matrix, loc_irblks.data(), loc_icblks.data(), loc_irblks.size());\n\n void* iter = nullptr;\n c_dbcsr_iterator_start(&iter, matrix, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n while (c_dbcsr_iterator_blocks_left(iter)) {\n int i = -1;\n int j = -1;\n int nblk = -1;\n int rsize = -1;\n int csize = -1;\n bool tr = false;\n\n double* blk = nullptr;\n c_dbcsr_iterator_next_2d_block_d(iter, &i, &j, &blk, &tr, &nblk, &rsize, &csize, nullptr, nullptr);\n\n std::generate(blk, blk + rsize * csize, [&]() { return static_cast(std::rand()) / RAND_MAX; });\n }\n\n c_dbcsr_iterator_stop(&iter);\n };\n\n dbcsr_matrix matrix_a = nullptr;\n dbcsr_matrix matrix_b = nullptr;\n dbcsr_matrix matrix_c = nullptr;\n\n c_dbcsr_create_new(&matrix_a, \"matrix a\", dist1, dbcsr_type_no_symmetry, row_blk_sizes_1.data(), row_blk_sizes_1.size(),\n col_blk_sizes_1.data(), col_blk_sizes_1.size(), nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n c_dbcsr_create_new(&matrix_b, \"matrix b\", dist2, dbcsr_type_no_symmetry, row_blk_sizes_2.data(), row_blk_sizes_2.size(),\n col_blk_sizes_2.data(), col_blk_sizes_2.size(), nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n c_dbcsr_create_new(&matrix_c, \"matrix c\", dist3, dbcsr_type_no_symmetry, row_blk_sizes_1.data(), row_blk_sizes_1.size(),\n col_blk_sizes_2.data(), col_blk_sizes_2.size(), nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n // indices of non-zero blocks\n std::vector irblks_1 = {0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3};\n std::vector icblks_1 = {0, 1, 2, 4, 0, 2, 3, 1, 3, 4, 0, 1, 2};\n\n std::vector irblks_2 = {0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 4};\n std::vector icblks_2 = {0, 2, 3, 0, 1, 2, 3, 0, 2, 3, 1, 2, 3, 0, 1, 2, 3};\n\n std::vector irblks_3 = {0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 3};\n std::vector icblks_3 = {0, 1, 2, 3, 0, 2, 3, 1, 2, 3, 0, 1, 2, 3};\n\n fill_matrix(matrix_a, irblks_1, icblks_1);\n c_dbcsr_finalize(matrix_a);\n fill_matrix(matrix_b, irblks_2, icblks_2);\n c_dbcsr_finalize(matrix_b);\n fill_matrix(matrix_c, irblks_3, icblks_3);\n c_dbcsr_finalize(matrix_c);\n\n // Compute C = 3.0 * A * B + 2.0 * C\n c_dbcsr_multiply_d('N', 'N', 3.0, matrix_a, matrix_b, 2.0, matrix_c, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr,\n nullptr, nullptr, nullptr);\n\n c_dbcsr_print(matrix_c);\n\n // release the matrices\n c_dbcsr_release(&matrix_a);\n c_dbcsr_release(&matrix_b);\n c_dbcsr_release(&matrix_c);\n\n c_dbcsr_distribution_release(&dist1);\n c_dbcsr_distribution_release(&dist2);\n c_dbcsr_distribution_release(&dist3);\n\n MPI_Comm_free(&group);\n\n // finalize the DBCSR library\n c_dbcsr_finalize_lib();\n\n // finalize MPI\n MPI_Finalize();\n\n return 0;\n}\n" }, { "path": "examples/dbcsr_tensor_example_1.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nprogram dbcsr_tensor_example_1\n !! Sparse tensor contraction example\n use mpi\n use dbcsr_api, only: &\n dbcsr_type, dbcsr_distribution_type, dbcsr_init_lib, dbcsr_distribution_new, &\n dbcsr_type_no_symmetry, dbcsr_create, dbcsr_iterator_start, dbcsr_iterator_blocks_left, &\n dbcsr_iterator_stop, dbcsr_iterator_next_block, dbcsr_iterator_type, dbcsr_put_block, &\n dbcsr_reserve_blocks, dbcsr_scalar, dbcsr_finalize_lib, dbcsr_distribution_release, &\n dbcsr_nblkrows_total, dbcsr_type_real_8, dbcsr_release, dbcsr_nblkcols_total, dbcsr_finalize, &\n dbcsr_get_stored_coordinates, dbcsr_get_info, dbcsr_filter, dbcsr_checksum\n use dbcsr_tensor_api, only: &\n dbcsr_t_create, dbcsr_t_copy_matrix_to_tensor, &\n dbcsr_t_pgrid_type, dbcsr_t_type, dbcsr_t_distribution_type, dbcsr_t_nblks_total, &\n dbcsr_t_reserve_blocks, dbcsr_t_iterator_start, dbcsr_t_iterator_blocks_left, &\n dbcsr_t_iterator_next_block, dbcsr_t_iterator_stop, dbcsr_t_default_distvec, dbcsr_t_put_block, &\n dbcsr_t_copy, dbcsr_t_distribution_new, dbcsr_t_distribution_destroy, dbcsr_t_write_blocks, dbcsr_t_contract, &\n dbcsr_t_copy_tensor_to_matrix, dbcsr_t_destroy, dbcsr_t_pgrid_destroy, dbcsr_t_nblks_total, &\n dbcsr_t_pgrid_create, dbcsr_t_iterator_type, dbcsr_t_get_stored_coordinates, dbcsr_t_get_info, dbcsr_t_filter, &\n dbcsr_t_checksum, dbcsr_t_clear, dbcsr_t_batched_contract_init, dbcsr_t_batched_contract_finalize\n use iso_fortran_env, only: &\n output_unit, real64, int64\n\n! --------------------------------------------------------------------------------------------------\n! this example implements the sparse tensor contraction (einstein notation)\n! c(n,o) = c(n,o) + a(i,j,k) x a(l,m,k) x b(i,l,n) x (b(m,o,j) + b(o,m,j))\n!\n! the tensors have the following shape and entries:\n! a: n x n x 2n: a(i,j,k) = exp(-1/3*alpha*((i-j)**2+(i-k)**2+(j-k)**2))\n! b: n x n x n: b(i,j,k) = exp(-1/3*beta*((i-j)**2+(i-k)**2+(j-k)**2))\n! c: n x n: c(i,j) = exp(-1/2*gamma*(i-j)**2)\n!\n! due to the exponential decay of the tensor elements w.r.t. difference between two indices,\n! all tensors are sparse. neglect of small tensor elements is controlled by threshold 'filter_eps':\n! tensor blocks with frobenius norm < filter_eps are neglected.\n!\n! block sizes are set randomly in this example to demonstrate a heterogeneous sparsity pattern,\n! these should ideally be adapted to the natural sparsity pattern of the problem\n! (e.g. blocks corresponding to a set of gaussian basis functions with same exponent)\n!\n! DBCSR provides two basic operations in terms of which any tensor contraction can be expressed:\n! dbcsr_t_contract: contraction of a pair of tensors\n! dbcsr_t_copy: copy supporting redistribution and index permutation\n!\n! by default, DBCSR supports tensors of ranks between 2 and 4.\n! higher ranks can be enabled by adapting 'maxrank' in 'dbcsr_tensor.fypp'.\n!\n! the above contraction is executed in the following order:\n! 1) d(i,j,l,m) = a(i,j,k) x a(l,m,k)\n! 2) e(j,m,n) = d(i,j,l,m) x b(i,l,n)\n! 3) f(j,m,o) = b(m,o,j) + b(o,m,j)\n! 4) c(n,o) = c(n,o) + e(j,m,n) x f(j,m,o)\n!\n! how to run (this example and DBCSR for tensors in general):\n! - best performance is obtained by running with mpi and one openmp thread per rank.\n! - ideally number of mpi ranks should be composed of small prime factors (e.g. powers of 2).\n! - for sparse data & heterogeneous block sizes, DBCSR should be run on CPUs with libxsmm backend.\n! - for dense data best performance is obtained by choosing homogeneous block sizes of 64 and by\n! compiling with GPU support.\n! --------------------------------------------------------------------------------------------------\n\n! ------ Parameters ------\n\n ! example type:\n ! - 1: debug (small & verbose)\n ! - 2: default (medium size)\n ! - 3: large (requires parallelism)\n ! - 4: large, batched contraction to reduce memory (does not require parallelism)\n integer, parameter :: example_type = 2\n\n ! filter threshold (larger value means more sparse but less accurate)\n real(real64), parameter :: filter_eps = 1.0e-08_real64\n\n ! number of batches in one dimension (to reduce memory footprint)\n integer, parameter :: nbatch = 8\n\n ! exponents for gaussians\n real(real64) :: alpha, beta, gamma\n\n ! maximum block size (actual block sizes are random between 1 and this number)\n integer :: max_bsize\n\n ! tensor size in one dimension (n)\n integer :: nel\n\n ! tune sparsity by scaling exponent for calculation of tensor elements\n real(real64) :: scale_exp\n\n ! contract all tensors at once\n logical :: contract_direct\n\n ! contract in batches (memory saving)\n logical :: contract_batched\n\n ! verbosity level\n ! 0: essential output\n ! 1: tensor log\n ! 2: verbose tensor log\n ! 3: verbose tensor log and print all tensor data\n integer :: verbosity\n\n integer :: &\n ierr, numnodes, mynode, node_holds_blk, io_unit, io_unit_dbcsr, ind, row, col, blk, group, &\n i, j, k, l, n, o, i_arr, j_arr, k_arr, l_arr, n_arr, o_arr, blk_size, &\n min_exp, min_exp_ij, min_exp_ik, min_exp_jk, min_exp_il, min_exp_in, min_exp_ln, &\n ibatch, jbatch, lbatch, mbatch\n integer, dimension(:), allocatable :: &\n offset_i, offset_j, offset_l, offset_k, offset_n, tmp, &\n start_batch_i, start_batch_j, start_batch_l, start_batch_m, &\n end_batch_i, end_batch_j, end_batch_l, end_batch_m\n integer, dimension(:), allocatable, target :: &\n blk_ind_1, blk_ind_2, blk_ind_3, &\n blk_size_i, blk_size_j, blk_size_k, blk_size_l, blk_size_m, blk_size_n, blk_size_o, &\n dist_1, dist_2, dist_3, dist_4\n integer, dimension(:, :), allocatable :: bounds_1, bounds_2, bounds_3\n integer, dimension(:), pointer :: &\n row_dist, col_dist, row_blk_size, col_blk_size, row_offset, col_offset\n integer, dimension(2) :: shape_2d, blk_ind_2d, blk_size_2d, blk_offset_2d, pdims_2d\n integer, dimension(3) :: blk_ind_3d, pdims_3d, shape_3d, blk_size_3d, blk_offset_3d\n integer, dimension(4) :: shape_4d, pdims_4d\n integer, dimension(7) :: shape_ijklmno\n integer(int64) :: nflop_sum, nflop\n real(real64) :: cs, t1, t0, time, flop_rate\n real(real64), dimension(:, :), pointer :: blk_values_2d\n real(real64), dimension(:, :, :), allocatable :: blk_values_3d\n logical :: tr\n logical, dimension(2) :: period = .true.\n type(dbcsr_type) :: c_matrix\n type(dbcsr_distribution_type) :: dist_matrix\n type(dbcsr_iterator_type) :: iter_matrix\n type(dbcsr_t_pgrid_type) :: pgrid_3d, pgrid_4d\n type(dbcsr_t_distribution_type) :: dist_tensor\n type(dbcsr_t_type) :: a_ijk, a_lmk, b_iln, c_no, d_ijlm, e_jmn, f_jmo\n type(dbcsr_t_iterator_type) :: iter_tensor\n\n ! prefactor in exponent for tensor data\n alpha = 1.0_real64; beta = 0.5_real64; gamma = 2.0_real64\n\n ! parameters for different example types\n select case (example_type)\n case (1)\n nel = 10\n max_bsize = 3\n verbosity = 3\n scale_exp = 10.0_real64\n contract_direct = .true.\n contract_batched = .false.\n case (2)\n nel = 200\n max_bsize = 10\n verbosity = 1\n scale_exp = 0.01_real64\n contract_direct = .true.\n contract_batched = .false.\n case (3)\n nel = 2000\n max_bsize = 10\n verbosity = 1\n scale_exp = 0.01_real64\n contract_direct = .true.\n contract_batched = .false.\n case (4)\n nel = 2000\n max_bsize = 10\n verbosity = 0\n scale_exp = 0.01_real64\n contract_direct = .false.\n contract_batched = .true.\n end select\n\n alpha = alpha*scale_exp\n beta = beta*scale_exp\n gamma = gamma*scale_exp\n\n ! initialize mpi\n call mpi_init(ierr)\n if (ierr /= 0) stop \"error in mpi_init\"\n\n call mpi_comm_size(mpi_comm_world, numnodes, ierr)\n if (ierr /= 0) stop \"error in mpi_comm_size\"\n\n call mpi_comm_rank(mpi_comm_world, mynode, ierr)\n if (ierr /= 0) stop \"error in mpi_comm_rank\"\n\n ! initialize DBCSR\n call dbcsr_init_lib(mpi_comm_world)\n\n ! prepare output\n io_unit_dbcsr = -1\n io_unit = -1\n if (mynode == 0 .and. verbosity > 0) io_unit_dbcsr = output_unit\n if (mynode == 0) io_unit = output_unit\n\n ! create block sizes\n call random_blk_sizes(nel, shape_ijklmno(1), blk_size_i)\n call random_blk_sizes(nel, shape_ijklmno(2), blk_size_j)\n call random_blk_sizes(2*nel, shape_ijklmno(3), blk_size_k)\n call random_blk_sizes(nel, shape_ijklmno(4), blk_size_l)\n call random_blk_sizes(nel, shape_ijklmno(5), blk_size_m)\n call random_blk_sizes(nel, shape_ijklmno(6), blk_size_n)\n call random_blk_sizes(nel, shape_ijklmno(7), blk_size_o)\n\n! ------ create matrix c[no] ------\n\n ! shape (number of blocks in each dimension)\n shape_2d = shape_ijklmno(6:7)\n\n ! set up 2-dimensional process grid\n pdims_2d(:) = 0\n call mpi_dims_create(numnodes, 2, pdims_2d, ierr)\n if (ierr /= 0) stop \"error in mpi_dims_create\"\n call mpi_cart_create(mpi_comm_world, 2, pdims_2d, period, .false., group, ierr)\n if (ierr /= 0) stop \"error in mpi_cart_create\"\n\n ! row and column distribution (mapping blocks in each dimension to process grid coordinate)\n ! this routine creates a load-balanced distribution for heterogeneous block sizes, alternatively\n ! any custom distribution can be used\n allocate (dist_1(shape_2d(1)))\n call dbcsr_t_default_distvec(shape_2d(1), pdims_2d(1), blk_size_n, dist_1)\n allocate (dist_2(shape_2d(2)))\n call dbcsr_t_default_distvec(shape_2d(2), pdims_2d(2), blk_size_o, dist_2)\n\n ! convert to pointers because DBCSR matrix api only accepts pointers\n row_dist => dist_1\n col_dist => dist_2\n\n ! create distribution\n call dbcsr_distribution_new(dist_matrix, group=group, row_dist=row_dist, col_dist=col_dist)\n deallocate (dist_1, dist_2)\n\n ! convert to pointers since DBCSR matrix api only accepts pointers\n row_blk_size => blk_size_n\n col_blk_size => blk_size_o\n\n ! create DBCSR matrix\n call dbcsr_create(matrix=c_matrix, name=\"c[n|o]\", dist=dist_matrix, matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_size, col_blk_size=col_blk_size, data_type=dbcsr_type_real_8)\n\n call dbcsr_distribution_release(dist_matrix)\n\n! ------ fill matrix c[no] ------\n\n ! reserve non-zero blocks. for performance it is important to first reserve all present blocks\n ! before calculating them and inserting them into DBCSR matrix.\n call dbcsr_get_info(c_matrix, row_blk_offset=row_offset, col_blk_offset=col_offset)\n\n ind = 0\n allocate (blk_ind_1(0), blk_ind_2(0))\n do row = 1, dbcsr_nblkrows_total(c_matrix)\n do col = 1, dbcsr_nblkcols_total(c_matrix)\n\n ! only consider blocks that are local to this rank (according to distribution)\n call dbcsr_get_stored_coordinates(c_matrix, row, col, node_holds_blk)\n if (node_holds_blk /= mynode) cycle\n\n ! calculate largest matrix element to determine an upper bound for block frobenius norm\n ! block is reserved only if this estimate is larger than the filter_eps parameter\n min_exp = block_minabsdiff(row_offset(row), col_offset(col), row_blk_size(row), col_blk_size(col))\n blk_size = row_blk_size(row)*col_blk_size(col)\n if (blk_size*exp(-0.5*gamma*real(min_exp**2)) < filter_eps) cycle\n\n ind = ind + 1\n\n ! store index of block to be reserved\n call move_alloc(blk_ind_1, tmp)\n allocate (blk_ind_1(ind))\n blk_ind_1(:ind - 1) = tmp; deallocate (tmp)\n\n call move_alloc(blk_ind_2, tmp)\n allocate (blk_ind_2(ind))\n blk_ind_2(:ind - 1) = tmp; deallocate (tmp)\n\n blk_ind_1(ind) = row\n blk_ind_2(ind) = col\n\n end do\n end do\n\n ! reserve blocks\n call dbcsr_reserve_blocks(c_matrix, blk_ind_1, blk_ind_2)\n deallocate (blk_ind_1, blk_ind_2)\n\n ! iterate over reserved matrix blocks to fill them with data\n call dbcsr_iterator_start(iter_matrix, c_matrix)\n do while (dbcsr_iterator_blocks_left(iter_matrix))\n call dbcsr_iterator_next_block(iter_matrix, blk_ind_2d(1), blk_ind_2d(2), blk_values_2d, tr, &\n row_size=blk_size_2d(1), col_size=blk_size_2d(2), &\n row_offset=blk_offset_2d(1), col_offset=blk_offset_2d(2))\n do n_arr = 1, blk_size_2d(1)\n do o_arr = 1, blk_size_2d(2)\n ! get matrix element index n & o from block offset\n n = n_arr + blk_offset_2d(1) - 1\n o = o_arr + blk_offset_2d(2) - 1\n ! calculate matrix element\n blk_values_2d(n_arr, o_arr) = exp(-0.5*gamma*real((n - o)**2))\n end do\n end do\n end do\n call dbcsr_iterator_stop(iter_matrix)\n\n ! finalize the DBCSR matrix\n call dbcsr_finalize(c_matrix)\n\n ! sparsity refinement by removing small blocks\n call dbcsr_filter(c_matrix, filter_eps)\n\n ! create tensor from DBCSR matrix for tensor contraction and copy data\n ! (alternatively we could have directly created c_matrix as a tensor)\n call dbcsr_t_create(c_matrix, c_no)\n call dbcsr_t_copy_matrix_to_tensor(c_matrix, c_no)\n\n! ------ create tensor a[ijk] ------\n\n ! note: tensor api is analogous to matrix api with a few differences of technical and historical nature\n\n shape_3d = shape_ijklmno(1:3)\n\n ! n-rank tensor requires an n-dimensional process grid:\n ! 'dbcsr_t_pgrid_create' is analogous to 'mpi_cart_create' but comes with some additional defaults.\n ! If the tensor dimensions vary significantly in size, it's important for performance to use the\n ! optional argument 'tensor_dims' to specify the tensor (block) dimensions.\n pdims_3d(:) = 0\n call dbcsr_t_pgrid_create(mpi_comm_world, pdims_3d, pgrid_3d)\n\n allocate (dist_1(shape_3d(1)))\n call dbcsr_t_default_distvec(shape_3d(1), pdims_3d(1), blk_size_i, dist_1)\n\n allocate (dist_2(shape_3d(2)))\n call dbcsr_t_default_distvec(shape_3d(2), pdims_3d(2), blk_size_j, dist_2)\n\n allocate (dist_3(shape_3d(3)))\n call dbcsr_t_default_distvec(shape_3d(3), pdims_3d(3), blk_size_k, dist_3)\n\n call dbcsr_t_distribution_new(dist_tensor, pgrid_3d, dist_1, dist_2, dist_3)\n deallocate (dist_1, dist_2, dist_3)\n\n ! create tensor. Compared with dbcsr_create this takes 2 additional arguments to control how the\n ! tensor is internally represented as a matrix:\n ! - map1_2d: which tensor dimensions are mapped to the first matrix dimension (in this case i & j)\n ! - map2_2d: which tensor dimensions are mapped to the second matrix dimension (in this case k)\n ! (these arguments need to be given for performance reasons, see documentation of dbcsr_t_contract\n ! for more info)\n call dbcsr_t_create(a_ijk, \"a[ij|k]\", dist_tensor, &\n map1_2d=[1, 2], map2_2d=[3], &\n data_type=dbcsr_type_real_8, &\n blk_size_1=blk_size_i, blk_size_2=blk_size_j, blk_size_3=blk_size_k)\n call dbcsr_t_distribution_destroy(dist_tensor)\n\n! ------ create a[lmk] ------\n ! note: normally we can just create an exact copy by calling:\n ! call dbcsr_t_create(a_ijk, a_lmk)\n ! call dbcsr_t_copy(a_ijk, a_lmk)\n ! here we need to create from scratch since the tensors have different block sizes\n shape_3d = shape_ijklmno([4, 5, 3])\n\n allocate (dist_1(shape_3d(1)))\n call dbcsr_t_default_distvec(shape_3d(1), pdims_3d(1), blk_size_l, dist_1)\n\n allocate (dist_2(shape_3d(2)))\n call dbcsr_t_default_distvec(shape_3d(2), pdims_3d(2), blk_size_m, dist_2)\n\n allocate (dist_3(shape_3d(3)))\n call dbcsr_t_default_distvec(shape_3d(3), pdims_3d(3), blk_size_k, dist_3)\n\n call dbcsr_t_distribution_new(dist_tensor, pgrid_3d, dist_1, dist_2, dist_3)\n deallocate (dist_1, dist_2, dist_3)\n call dbcsr_t_create(a_lmk, \"a[lm|k]\", dist_tensor, [1, 2], [3], dbcsr_type_real_8, &\n blk_size_l, blk_size_m, blk_size_k)\n call dbcsr_t_distribution_destroy(dist_tensor)\n\n! ------ fill tensor a[ijk] and copy to a[lmk] ------\n\n allocate (offset_i(dbcsr_t_nblks_total(a_ijk, 1)))\n allocate (offset_j(dbcsr_t_nblks_total(a_ijk, 2)))\n allocate (offset_k(dbcsr_t_nblks_total(a_ijk, 3)))\n call dbcsr_t_get_info(a_ijk, blk_offset_1=offset_i, blk_offset_2=offset_j, blk_offset_3=offset_k)\n\n ind = 0\n allocate (blk_ind_1(0), blk_ind_2(0), blk_ind_3(0))\n do i = 1, dbcsr_t_nblks_total(a_ijk, 1)\n do j = 1, dbcsr_t_nblks_total(a_ijk, 2)\n do k = 1, dbcsr_t_nblks_total(a_ijk, 3)\n\n call dbcsr_t_get_stored_coordinates(a_ijk, [i, j, k], node_holds_blk)\n if (node_holds_blk /= mynode) cycle\n\n min_exp_ij = block_minabsdiff(offset_i(i), offset_j(j), blk_size_i(i), blk_size_j(j))\n min_exp_ik = block_minabsdiff(offset_i(i), offset_k(k), blk_size_i(i), blk_size_k(k))\n min_exp_jk = block_minabsdiff(offset_j(j), offset_k(k), blk_size_j(j), blk_size_k(k))\n\n blk_size = blk_size_i(i)*blk_size_j(j)*blk_size_k(k)\n\n if (blk_size*exp(-1./3*alpha*real(min_exp_ij**2 + min_exp_ik**2 + min_exp_jk**2)) < filter_eps) cycle\n\n ind = ind + 1\n\n call move_alloc(blk_ind_1, tmp)\n allocate (blk_ind_1(ind))\n blk_ind_1(:ind - 1) = tmp; deallocate (tmp)\n\n call move_alloc(blk_ind_2, tmp)\n allocate (blk_ind_2(ind))\n blk_ind_2(:ind - 1) = tmp; deallocate (tmp)\n\n call move_alloc(blk_ind_3, tmp)\n allocate (blk_ind_3(ind))\n blk_ind_3(:ind - 1) = tmp; deallocate (tmp)\n\n blk_ind_1(ind) = i\n blk_ind_2(ind) = j\n blk_ind_3(ind) = k\n end do\n end do\n end do\n\n call dbcsr_t_reserve_blocks(a_ijk, blk_ind_1, blk_ind_2, blk_ind_3)\n deallocate (blk_ind_1, blk_ind_2, blk_ind_3)\n\n call dbcsr_t_iterator_start(iter_tensor, a_ijk)\n do while (dbcsr_t_iterator_blocks_left(iter_tensor))\n ! direct access to block pointers via iterator is not possible in the tensor api\n ! the iterator goes over indices and then we call 'put_block'\n call dbcsr_t_iterator_next_block(iter_tensor, blk_ind_3d, blk, blk_size=blk_size_3d, blk_offset=blk_offset_3d)\n allocate (blk_values_3d(blk_size_3d(1), blk_size_3d(2), blk_size_3d(3)))\n do i_arr = 1, blk_size_3d(1)\n do j_arr = 1, blk_size_3d(2)\n do k_arr = 1, blk_size_3d(3)\n i = i_arr + blk_offset_3d(1) - 1\n j = j_arr + blk_offset_3d(2) - 1\n k = k_arr + blk_offset_3d(3) - 1\n blk_values_3d(i_arr, j_arr, k_arr) = exp(-1./3*alpha*real((i - j)**2 + (i - k)**2 + (j - k)**2))\n end do\n end do\n end do\n call dbcsr_t_put_block(a_ijk, blk_ind_3d, blk_size_3d, blk_values_3d)\n deallocate (blk_values_3d)\n end do\n call dbcsr_t_iterator_stop(iter_tensor)\n\n call dbcsr_t_filter(a_ijk, filter_eps)\n\n ! no need to finalize for tensors, this is done internally\n\n ! fill tensor (lmk) by copying from a[ijk]\n call dbcsr_t_copy(a_ijk, a_lmk)\n call dbcsr_t_filter(a_lmk, filter_eps)\n\n! ------ create tensor b[iln] ------\n shape_3d = shape_ijklmno([1, 4, 6])\n\n allocate (dist_1(shape_3d(1)))\n call dbcsr_t_default_distvec(shape_3d(1), pdims_3d(1), blk_size_i, dist_1)\n\n allocate (dist_2(shape_3d(2)))\n call dbcsr_t_default_distvec(shape_3d(2), pdims_3d(2), blk_size_l, dist_2)\n\n allocate (dist_3(shape_3d(3)))\n call dbcsr_t_default_distvec(shape_3d(3), pdims_3d(3), blk_size_n, dist_3)\n\n call dbcsr_t_distribution_new(dist_tensor, pgrid_3d, dist_1, dist_2, dist_3)\n deallocate (dist_1, dist_2, dist_3)\n\n call dbcsr_t_create(b_iln, \"b[il|n]\", dist_tensor, [1, 2], [3], dbcsr_type_real_8, &\n blk_size_i, blk_size_l, blk_size_n)\n call dbcsr_t_distribution_destroy(dist_tensor)\n\n! ------ fill tensor b[iln] ------\n allocate (offset_l(dbcsr_t_nblks_total(b_iln, 2)))\n allocate (offset_n(dbcsr_t_nblks_total(b_iln, 3)))\n call dbcsr_t_get_info(b_iln, blk_offset_2=offset_l, blk_offset_3=offset_n)\n\n ind = 0\n allocate (blk_ind_1(0), blk_ind_2(0), blk_ind_3(0))\n do i = 1, dbcsr_t_nblks_total(b_iln, 1)\n do l = 1, dbcsr_t_nblks_total(b_iln, 2)\n do n = 1, dbcsr_t_nblks_total(b_iln, 3)\n\n call dbcsr_t_get_stored_coordinates(b_iln, [i, l, n], node_holds_blk)\n if (node_holds_blk /= mynode) cycle\n\n min_exp_il = block_minabsdiff(offset_i(i), offset_l(l), blk_size_i(i), blk_size_l(l))\n min_exp_in = block_minabsdiff(offset_i(i), offset_n(n), blk_size_i(i), blk_size_n(n))\n min_exp_ln = block_minabsdiff(offset_l(l), offset_n(n), blk_size_l(l), blk_size_n(n))\n\n blk_size = blk_size_i(i)*blk_size_l(l)*blk_size_n(n)\n\n if (blk_size*exp(-1./3*beta*real(min_exp_il**2 + min_exp_in**2 + min_exp_ln**2)) < filter_eps) cycle\n\n ind = ind + 1\n\n call move_alloc(blk_ind_1, tmp)\n allocate (blk_ind_1(ind))\n blk_ind_1(:ind - 1) = tmp; deallocate (tmp)\n\n call move_alloc(blk_ind_2, tmp)\n allocate (blk_ind_2(ind))\n blk_ind_2(:ind - 1) = tmp; deallocate (tmp)\n\n call move_alloc(blk_ind_3, tmp)\n allocate (blk_ind_3(ind))\n blk_ind_3(:ind - 1) = tmp; deallocate (tmp)\n\n blk_ind_1(ind) = i\n blk_ind_2(ind) = l\n blk_ind_3(ind) = n\n end do\n end do\n end do\n\n call dbcsr_t_reserve_blocks(b_iln, blk_ind_1, blk_ind_2, blk_ind_3)\n deallocate (blk_ind_1, blk_ind_2, blk_ind_3)\n\n call dbcsr_t_iterator_start(iter_tensor, b_iln)\n do while (dbcsr_t_iterator_blocks_left(iter_tensor))\n call dbcsr_t_iterator_next_block(iter_tensor, blk_ind_3d, blk, blk_size=blk_size_3d, blk_offset=blk_offset_3d)\n allocate (blk_values_3d(blk_size_3d(1), blk_size_3d(2), blk_size_3d(3)))\n do i_arr = 1, blk_size_3d(1)\n do l_arr = 1, blk_size_3d(2)\n do n_arr = 1, blk_size_3d(3)\n i = i_arr + blk_offset_3d(1) - 1\n l = l_arr + blk_offset_3d(2) - 1\n n = n_arr + blk_offset_3d(3) - 1\n blk_values_3d(i_arr, l_arr, n_arr) = exp(-1./3*beta*real((i - l)**2 + (i - n)**2 + (l - n)**2))\n end do\n end do\n end do\n call dbcsr_t_put_block(b_iln, blk_ind_3d, blk_size_3d, blk_values_3d)\n deallocate (blk_values_3d)\n end do\n call dbcsr_t_iterator_stop(iter_tensor)\n\n call dbcsr_t_filter(b_iln, filter_eps)\n\n! ------ create tensor e[jmn] ------\n shape_3d = shape_ijklmno([2, 5, 6])\n\n allocate (dist_1(shape_3d(1)))\n call dbcsr_t_default_distvec(shape_3d(1), pdims_3d(1), blk_size_j, dist_1)\n\n allocate (dist_2(shape_3d(2)))\n call dbcsr_t_default_distvec(shape_3d(2), pdims_3d(2), blk_size_m, dist_2)\n\n allocate (dist_3(shape_3d(3)))\n call dbcsr_t_default_distvec(shape_3d(3), pdims_3d(3), blk_size_n, dist_3)\n\n call dbcsr_t_distribution_new(dist_tensor, pgrid_3d, dist_1, dist_2, dist_3)\n deallocate (dist_1, dist_2, dist_3)\n call dbcsr_t_create(e_jmn, \"e[jm|n]\", dist_tensor, [1, 2], [3], dbcsr_type_real_8, &\n blk_size_j, blk_size_m, blk_size_n)\n call dbcsr_t_distribution_destroy(dist_tensor)\n\n! ------ create tensor f[jmo] ------\n shape_3d = shape_ijklmno([2, 5, 7])\n\n allocate (dist_1(shape_3d(1)))\n call dbcsr_t_default_distvec(shape_3d(1), pdims_3d(1), blk_size_j, dist_1)\n\n allocate (dist_2(shape_3d(2)))\n call dbcsr_t_default_distvec(shape_3d(2), pdims_3d(2), blk_size_m, dist_2)\n\n allocate (dist_3(shape_3d(3)))\n call dbcsr_t_default_distvec(shape_3d(3), pdims_3d(3), blk_size_o, dist_3)\n\n call dbcsr_t_distribution_new(dist_tensor, pgrid_3d, dist_1, dist_2, dist_3)\n deallocate (dist_1, dist_2, dist_3)\n call dbcsr_t_create(f_jmo, \"f[jm|o]\", dist_tensor, [1, 2], [3], dbcsr_type_real_8, &\n blk_size_j, blk_size_m, blk_size_o)\n call dbcsr_t_distribution_destroy(dist_tensor)\n\n! ------ create and fill tensor f[jmo] ------\n! ------ f(j,m,o) = b(m,o,j) + b(o,m,j) ------\n\n ! note: order argument of dbcsr_t_copy allows for arbitrary index permutations\n ! (same convention as fortran reshape intrinsic)\n\n ! f(j,m,o) = b(m,o,j)\n call dbcsr_t_copy(b_iln, f_jmo, order=[2, 3, 1])\n\n ! f(j,m,o) = f(j,m,o) + b(o,m,j)\n call dbcsr_t_copy(b_iln, f_jmo, order=[3, 2, 1], summation=.true.)\n\n call dbcsr_t_filter(f_jmo, filter_eps)\n\n! ------ create tensor d[i,j,l,m] ------\n shape_4d = shape_ijklmno([1, 2, 4, 5])\n\n pdims_4d(:) = 0\n call dbcsr_t_pgrid_create(mpi_comm_world, pdims_4d, pgrid_4d)\n\n allocate (dist_1(shape_4d(1)))\n call dbcsr_t_default_distvec(shape_4d(1), pdims_4d(1), blk_size_i, dist_1)\n\n allocate (dist_2(shape_4d(2)))\n call dbcsr_t_default_distvec(shape_4d(2), pdims_4d(2), blk_size_j, dist_2)\n\n allocate (dist_3(shape_4d(3)))\n call dbcsr_t_default_distvec(shape_4d(3), pdims_4d(3), blk_size_l, dist_3)\n\n allocate (dist_4(shape_4d(4)))\n call dbcsr_t_default_distvec(shape_4d(4), pdims_4d(4), blk_size_m, dist_4)\n\n call dbcsr_t_distribution_new(dist_tensor, pgrid_4d, dist_1, dist_2, dist_3, dist_4)\n deallocate (dist_1, dist_2, dist_3, dist_4)\n\n call dbcsr_t_create(d_ijlm, \"d[ij|lm]\", dist_tensor, [1, 2], [3, 4], dbcsr_type_real_8, &\n blk_size_i, blk_size_j, blk_size_l, blk_size_m)\n call dbcsr_t_distribution_destroy(dist_tensor)\n\n! ------ write tensors (for debugging purposes only) ------\n if (verbosity == 3) call dbcsr_t_write_blocks(a_ijk, io_unit_dbcsr, output_unit)\n if (verbosity == 3) call dbcsr_t_write_blocks(b_iln, io_unit_dbcsr, output_unit)\n if (verbosity == 3) call dbcsr_t_write_blocks(c_no, io_unit_dbcsr, output_unit)\n\n if (contract_direct) then\n\n! ------ d(i,j,l,m) = a(i,j,k) x a(l,m,k) ------\n\n ! performance measurement\n nflop_sum = 0\n call cpu_time(t0)\n\n ! contract_1: indices of first tensor to sum\n ! notcontract_1: all other indices of first tensor\n ! contract_2: indices of second tensor to sum (corresponding to contract_1)\n ! notcontract_2: all other indices of second tensor\n ! map_1: indices of result tensor corresponding to notcontract_1\n ! map_2: indices of result tensor corresponding to notcontract_2\n\n call dbcsr_t_contract(alpha=dbcsr_scalar(1.0_real64), tensor_1=a_ijk, tensor_2=a_lmk, &\n beta=dbcsr_scalar(0.0_real64), tensor_3=d_ijlm, &\n contract_1=[3], notcontract_1=[1, 2], &\n contract_2=[3], notcontract_2=[1, 2], &\n map_1=[1, 2], map_2=[3, 4], &\n filter_eps=filter_eps, &\n unit_nr=io_unit_dbcsr, log_verbose=verbosity >= 2, &\n flop=nflop)\n nflop_sum = nflop_sum + nflop\n\n! ------ e(j,m,n) = d(i,j,l,m) x b(i,l,n) ------\n\n ! note: tensor d was created with map1_2d, map2_2d arguments inconsistent with\n ! contract_1 and notcontract_1 since this tensor was created with the previous contraction in mind.\n ! in this case tensor will be redistributed to the correct layout automatically.\n call dbcsr_t_contract(dbcsr_scalar(1.0_real64), d_ijlm, b_iln, dbcsr_scalar(0.0_real64), e_jmn, &\n contract_1=[1, 3], notcontract_1=[2, 4], &\n contract_2=[1, 2], notcontract_2=[3], &\n map_1=[1, 2], map_2=[3], &\n filter_eps=filter_eps, &\n unit_nr=io_unit_dbcsr, log_verbose=verbosity >= 2, &\n flop=nflop)\n\n nflop_sum = nflop_sum + nflop\n\n ! free memory\n call dbcsr_t_clear(d_ijlm)\n\n! ------ c(n,o) = c(n,o) + e(j,m,n) x f(j,m,o) ------\n\n ! summation to c is done by setting beta parameter to 1\n call dbcsr_t_contract(dbcsr_scalar(1.0_real64), e_jmn, f_jmo, dbcsr_scalar(1.0_real64), c_no, &\n contract_1=[1, 2], notcontract_1=[3], &\n contract_2=[1, 2], notcontract_2=[3], &\n map_1=[1], map_2=[2], &\n filter_eps=filter_eps, &\n unit_nr=io_unit_dbcsr, log_verbose=verbosity >= 2, &\n flop=nflop)\n\n nflop_sum = nflop_sum + nflop\n\n ! free memory\n call dbcsr_t_clear(e_jmn)\n\n call cpu_time(t1)\n\n! ------ verify result by calculating checksum of c ------\n\n cs = dbcsr_t_checksum(c_no)\n if (io_unit > 0) write (io_unit, \"(a, e20.13)\") \"checksum matrix c\", cs\n\n! ------ write contraction result (for debugging purposes only) ------\n if (verbosity == 3) call dbcsr_t_write_blocks(c_no, io_unit_dbcsr, output_unit)\n\n! ------ output performance measurements ------\n! useful to test strong scaling & overhead of batched contraction\n\n time = t1 - t0\n flop_rate = real(nflop_sum, real64)/(1.0e09_real64*time)\n\n if (io_unit > 0) then\n write (io_unit, \"(a,t73,es8.2)\") \"performance: total number of flops:\", real(nflop_sum*numnodes)\n write (io_unit, \"(a,t66,f15.2)\") \"performance: total execution time:\", time\n write (io_unit, \"(a,t66,f15.2)\") \"performance: contraction flop rate (gflops / mpi rank):\", flop_rate\n end if\n\n end if\n\n if (contract_batched) then\n\n! ------ batched contraction ------\n! reduce memory by contracting over batches (such that intermediate tensors are never fully held in memory)\n! indices i,j,l,m are split into n batches each (these indices belong to largest tensor d[ijlm])\n\n ! performance measurement\n nflop_sum = 0\n call cpu_time(t0)\n\n call create_batches(blk_size_i, nbatch, start_batch_i, end_batch_i)\n call create_batches(blk_size_j, nbatch, start_batch_j, end_batch_j)\n call create_batches(blk_size_l, nbatch, start_batch_l, end_batch_l)\n call create_batches(blk_size_m, nbatch, start_batch_m, end_batch_m)\n\n call dbcsr_t_copy_matrix_to_tensor(c_matrix, c_no)\n\n ! for better performance (avoiding communications) call init routine on all tensors that appear\n ! in multiple contraction calls with the same bounds:\n call dbcsr_t_batched_contract_init(c_no)\n\n ! iterate over index batches\n do jbatch = 1, nbatch\n do mbatch = 1, nbatch\n do ibatch = 1, nbatch\n call dbcsr_t_batched_contract_init(a_ijk)\n do lbatch = 1, nbatch\n\n! ------ d(i,j,l,m) = a(i,j,k) x a(l,m,k) ------\n\n ! specify bounds corresponding to the contraction index sets\n allocate (bounds_2(2, 2), bounds_3(2, 2))\n\n ! bounds corresponding to notcontract_1 indices i,j\n bounds_2(:, 1) = [start_batch_i(ibatch), end_batch_i(ibatch)]\n bounds_2(:, 2) = [start_batch_j(jbatch), end_batch_j(jbatch)]\n\n ! bounds corresponding to notcontract_2 indices l,m\n bounds_3(:, 1) = [start_batch_l(lbatch), end_batch_l(lbatch)]\n bounds_3(:, 2) = [start_batch_m(mbatch), end_batch_m(mbatch)]\n\n call dbcsr_t_contract(dbcsr_scalar(1.0_real64), a_ijk, a_lmk, &\n dbcsr_scalar(0.0_real64), d_ijlm, &\n contract_1=[3], notcontract_1=[1, 2], &\n contract_2=[3], notcontract_2=[1, 2], &\n map_1=[1, 2], map_2=[3, 4], &\n bounds_2=bounds_2, &\n bounds_3=bounds_3, &\n filter_eps=filter_eps, &\n unit_nr=io_unit_dbcsr, &\n flop=nflop)\n nflop_sum = nflop_sum + nflop\n deallocate (bounds_2, bounds_3)\n\n! ------ e(j,m,n) = d(i,j,l,m) x b(i,l,n) ------\n\n allocate (bounds_1(2, 2), bounds_2(2, 2))\n\n ! bounds corresponding to contract indices i,l\n bounds_1(:, 1) = [start_batch_i(ibatch), end_batch_i(ibatch)]\n bounds_1(:, 2) = [start_batch_l(lbatch), end_batch_l(lbatch)]\n\n ! bounds corresponding to notcontract_1 indices j,m\n bounds_2(:, 1) = [start_batch_j(jbatch), end_batch_j(jbatch)]\n bounds_2(:, 2) = [start_batch_m(mbatch), end_batch_m(mbatch)]\n\n ! note: we sum up contributions from batches i & l, thus beta parameter set to 1\n call dbcsr_t_contract(dbcsr_scalar(1.0_real64), d_ijlm, b_iln, dbcsr_scalar(1.0_real64), e_jmn, &\n contract_1=[1, 3], notcontract_1=[2, 4], &\n contract_2=[1, 2], notcontract_2=[3], &\n map_1=[1, 2], map_2=[3], &\n bounds_1=bounds_1, bounds_2=bounds_2, &\n filter_eps=filter_eps, &\n unit_nr=io_unit_dbcsr, &\n flop=nflop)\n\n nflop_sum = nflop_sum + nflop\n deallocate (bounds_1, bounds_2)\n\n ! free memory\n call dbcsr_t_clear(d_ijlm)\n\n end do\n\n ! complete batched contraction of a\n call dbcsr_t_batched_contract_finalize(a_ijk)\n end do\n\n! ------ c(n,o) = c(n,o) + e(j,m,n) x f(j,m,o) ------\n\n allocate (bounds_1(2, 2))\n\n ! bounds corresponding to contract indices j,m\n bounds_1(:, 1) = [start_batch_j(jbatch), end_batch_j(jbatch)]\n bounds_1(:, 2) = [start_batch_m(mbatch), end_batch_m(mbatch)]\n\n call dbcsr_t_contract(dbcsr_scalar(1.0_real64), e_jmn, f_jmo, dbcsr_scalar(1.0_real64), c_no, &\n contract_1=[1, 2], notcontract_1=[3], &\n contract_2=[1, 2], notcontract_2=[3], &\n map_1=[1], map_2=[2], &\n bounds_1=bounds_1, &\n filter_eps=filter_eps, &\n unit_nr=io_unit_dbcsr, &\n flop=nflop)\n\n nflop_sum = nflop_sum + nflop\n deallocate (bounds_1)\n\n ! free memory\n call dbcsr_t_clear(e_jmn)\n end do\n end do\n\n ! complete batched contraction of c\n call dbcsr_t_batched_contract_finalize(c_no)\n\n call cpu_time(t1)\n\n! ------ verify result by calculating checksum of c ------\n cs = dbcsr_t_checksum(c_no)\n if (io_unit > 0) write (io_unit, \"(a, e20.13)\") \"checksum matrix c\", cs\n\n! ------ output performance measurements ------\n! useful to test strong scaling & overhead of batched contraction\n\n time = t1 - t0\n flop_rate = real(nflop_sum, real64)/(1.0e09_real64*time)\n\n if (io_unit > 0) then\n write (io_unit, \"(a,t73,es8.2)\") \"performance (batched): total number of flops:\", real(nflop_sum*numnodes)\n write (io_unit, \"(a,t66,f15.2)\") \"performance (batched): total execution time:\", time\n write (io_unit, \"(a,t66,f15.2)\") \"performance (batched): contraction flop rate (gflops / mpi rank):\", flop_rate\n end if\n\n deallocate (start_batch_i, start_batch_j, start_batch_l, start_batch_m, &\n end_batch_i, end_batch_j, end_batch_l, end_batch_m)\n\n end if\n\n! ------ copy tensor c to matrix c ------\n call dbcsr_t_copy_tensor_to_matrix(c_no, c_matrix)\n\n! ------ cleanup ------\n\n call dbcsr_t_pgrid_destroy(pgrid_3d)\n call dbcsr_t_pgrid_destroy(pgrid_4d)\n\n call dbcsr_release(c_matrix)\n\n call dbcsr_t_destroy(c_no)\n call dbcsr_t_destroy(a_ijk)\n call dbcsr_t_destroy(e_jmn)\n call dbcsr_t_destroy(a_lmk)\n call dbcsr_t_destroy(b_iln)\n call dbcsr_t_destroy(f_jmo)\n call dbcsr_t_destroy(d_ijlm)\n\n deallocate (blk_size_i, blk_size_j, blk_size_k, blk_size_l, blk_size_m, blk_size_n, blk_size_o, &\n offset_i, offset_j, offset_k, offset_l, offset_n)\n\n call mpi_comm_free(group, ierr)\n if (ierr /= 0) stop \"error in mpi_comm_free\"\n\n ! finalize libdbcsr\n call dbcsr_finalize_lib()\n\n ! finalize mpi\n call mpi_finalize(ierr)\n if (ierr /= 0) stop \"error in mpi_finalize\"\n\ncontains\n\n subroutine random_blk_sizes(total_size, nblk, blk_sizes)\n ! random block sizes such that sum is equal to total_size\n integer, intent(in) :: total_size\n integer, intent(out) :: nblk\n integer, intent(out), allocatable :: blk_sizes(:)\n integer, allocatable :: tmp(:)\n integer :: mynode, ierr, blk_sum, bsize\n real :: rand\n\n call mpi_comm_rank(mpi_comm_world, mynode, ierr)\n if (ierr /= 0) stop \"error in mpi_comm_rank\"\n\n if (mynode == 0) then\n blk_sum = 0\n allocate (blk_sizes(0))\n nblk = 0\n do while (blk_sum < total_size)\n call random_number(rand)\n bsize = int(rand*max_bsize + 1)\n if (blk_sum + bsize > total_size) bsize = total_size - blk_sum\n blk_sum = blk_sum + bsize\n nblk = nblk + 1\n call move_alloc(blk_sizes, tmp)\n allocate (blk_sizes(nblk))\n blk_sizes(1:nblk - 1) = tmp; deallocate (tmp)\n blk_sizes(nblk) = bsize\n end do\n end if\n call mpi_bcast(nblk, 1, mpi_integer, 0, mpi_comm_world, ierr)\n if (ierr /= 0) stop \"error in mpi_bcast\"\n if (mynode /= 0) allocate (blk_sizes(nblk))\n call mpi_bcast(blk_sizes, nblk, mpi_integer, 0, mpi_comm_world, ierr)\n if (ierr /= 0) stop \"error in mpi_bcast\"\n\n end subroutine\n\n function block_minabsdiff(offset_1, offset_2, size_1, size_2)\n ! get minimum difference between row and column indices belonging to a block defined by its\n ! size and offset\n integer, intent(in) :: offset_1, offset_2, size_1, size_2\n integer :: block_minabsdiff\n integer, dimension(2) :: limits_1, limits_2\n\n limits_1 = offset_1 - 1 + [1, size_1]\n limits_2 = offset_2 - 1 + [1, size_2]\n\n if (limits_1(2) < limits_2(1)) then\n block_minabsdiff = limits_2(1) - limits_1(2)\n elseif (limits_2(2) < limits_1(1)) then\n block_minabsdiff = limits_1(1) - limits_2(2)\n else\n block_minabsdiff = 0\n end if\n\n end function\n\n subroutine create_batches(blk_sizes, nbatch, start_batch, end_batch)\n ! create tensor batches: split index at block boundaries such that each batch contains approximately\n ! the same number of tensor elements.\n integer, dimension(:), intent(in) :: blk_sizes\n integer, intent(in) :: nbatch\n integer, dimension(:), allocatable, intent(out) :: start_batch, end_batch\n integer :: nel, nel_batch, nblk, blk_sum, batch_sum, iblk\n integer, dimension(:), allocatable :: tmp\n\n nblk = size(blk_sizes)\n nel = sum(blk_sizes)\n nel_batch = nel/nbatch\n ibatch = 0\n blk_sum = 0; batch_sum = nel_batch\n allocate (end_batch(0:nbatch))\n allocate (start_batch(1:nbatch))\n end_batch(0) = 0\n do iblk = 1, nblk\n blk_sum = blk_sum + blk_sizes(iblk)\n if (blk_sum >= batch_sum) then\n ibatch = ibatch + 1\n end_batch(ibatch) = blk_sum\n start_batch(ibatch) = end_batch(ibatch - 1) + 1\n batch_sum = min(batch_sum + nel_batch, nel)\n end if\n end do\n\n call move_alloc(end_batch, tmp)\n allocate (end_batch(1:nbatch))\n end_batch(:) = tmp(1:)\n\n end subroutine\n\nend program\n" }, { "path": "examples/dbcsr_tensor_example_2.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n\n//-------------------------------------------------------------------------------------------------!\n// Example: tensor contraction (13|2)x(54|21)=(3|45)\n// tensor1 x tensor2 = tensor3\n//-------------------------------------------------------------------------------------------------!\n\nstd::vector random_dist(int dist_size, int nbins) {\n std::vector dist(dist_size);\n\n for (int i = 0; i < dist_size; i++) dist[i] = i % nbins;\n\n return dist;\n}\n\nvoid printvec(std::vector& v) {\n for (auto i : v) {\n std::cout << i << \" \";\n }\n std::cout << '\\n' << std::endl;\n}\n\nvoid fill_random(dbcsr_t_tensor tensor, std::vector> nzblocks) {\n int myrank, mpi_size;\n int dim = nzblocks.size();\n\n MPI_Comm_rank(MPI_COMM_WORLD, &myrank);\n MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);\n\n std::random_device rd;\n std::mt19937_64 gen(rd());\n std::uniform_real_distribution<> dis(-1.0, 1.0);\n\n if (myrank == 0) std::cout << \"Filling Tensor...\" << std::endl;\n if (myrank == 0) std::cout << \"Dimension: \" << dim << std::endl;\n\n int nblocks = nzblocks[0].size();\n std::vector> mynzblocks(dim);\n std::vector idx(dim);\n\n for (int i = 0; i != nblocks; ++i) {\n // make index out of nzblocks\n for (int j = 0; j != dim; ++j) idx[j] = nzblocks[j][i];\n\n int proc = -1;\n\n c_dbcsr_t_get_stored_coordinates(tensor, idx.data(), &proc);\n\n if (proc == myrank) {\n for (int j = 0; j != dim; ++j) mynzblocks[j].push_back(idx[j]);\n }\n }\n\n std::vector dataptr(4, nullptr);\n\n for (int i = 0; i != dim; ++i) {\n dataptr[i] = mynzblocks[i].size() == 0 ? nullptr : &mynzblocks[i][0];\n }\n\n if (myrank == 0) std::cout << \"Reserving blocks...\" << std::endl;\n\n if (mynzblocks[0].size() != 0)\n c_dbcsr_t_reserve_blocks_index(tensor, mynzblocks[0].size(), dataptr[0], dataptr[1], dataptr[2], dataptr[3]);\n\n auto fill_rand = [&](std::vector& blk) {\n for (auto& e : blk) {\n e = dis(gen);\n }\n };\n\n dbcsr_t_iterator iter = nullptr;\n\n c_dbcsr_t_iterator_start(&iter, tensor);\n\n std::vector loc_idx(dim);\n std::vector blk_sizes(dim);\n std::vector block(1);\n\n int blk = 0;\n int blk_proc = 0;\n\n while (c_dbcsr_t_iterator_blocks_left(iter)) {\n c_dbcsr_t_iterator_next_block(iter, loc_idx.data(), &blk, &blk_proc, blk_sizes.data(), nullptr);\n\n int tot = 1;\n for (int i = 0; i != dim; ++i) {\n tot *= blk_sizes[i];\n }\n\n block.resize(tot);\n\n fill_rand(block);\n\n c_dbcsr_t_put_block(tensor, loc_idx.data(), blk_sizes.data(), block.data(), nullptr, nullptr);\n }\n\n c_dbcsr_t_iterator_stop(&iter);\n\n MPI_Barrier(MPI_COMM_WORLD);\n}\n\nint main(int argc, char* argv[]) {\n MPI_Init(&argc, &argv);\n\n int mpi_size, mpi_rank;\n MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);\n MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);\n\n c_dbcsr_init_lib(MPI_COMM_WORLD, nullptr);\n\n dbcsr_t_pgrid pgrid_3d = nullptr;\n dbcsr_t_pgrid pgrid_4d = nullptr;\n\n std::vector dims4(4);\n std::vector dims3(3);\n\n MPI_Fint fcomm = MPI_Comm_c2f(MPI_COMM_WORLD);\n\n c_dbcsr_t_pgrid_create(&fcomm, dims3.data(), dims3.size(), &pgrid_3d, nullptr);\n\n c_dbcsr_t_pgrid_create(&fcomm, dims4.data(), dims4.size(), &pgrid_4d, nullptr);\n\n if (mpi_rank == 0) {\n std::cout << \"pgrid3-dimensions:\" << std::endl;\n printvec(dims3);\n\n std::cout << \"pgrid4-dimensions:\" << std::endl;\n printvec(dims4);\n }\n\n // block sizes\n std::vector blk1, blk2, blk3, blk4, blk5;\n // blk indices of non-zero blocks\n std::vector nz11, nz12, nz13, nz21, nz22, nz24, nz25, nz33, nz34, nz35;\n\n blk1 = {3, 9, 12, 1};\n blk2 = {4, 2, 3, 1, 9, 2, 32, 10, 5, 8, 7};\n blk3 = {7, 3, 8, 7, 9, 5, 10, 23, 2};\n blk4 = {8, 1, 4, 13, 6};\n blk5 = {4, 2, 22};\n\n nz11 = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3};\n nz12 = {2, 4, 4, 4, 5, 5, 6, 7, 9, 10, 10, 0, 0, 3, 6, 6, 8, 9, 1, 1, 4, 5, 7, 7, 8, 10, 10, 1, 3, 4, 4, 7};\n nz13 = {6, 2, 4, 8, 5, 7, 1, 7, 2, 1, 2, 0, 3, 5, 1, 6, 4, 7, 2, 6, 0, 3, 2, 6, 7, 4, 7, 8, 5, 0, 1, 6};\n\n nz21 = {0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3};\n nz22 = {0, 2, 3, 5, 9, 1, 1, 3, 4, 4, 5, 5, 5, 6, 6, 8, 8, 8, 9, 10, 0, 2, 2, 3, 4, 5, 7, 8, 10, 10, 0, 2, 3, 5, 9, 10};\n nz24 = {2, 4, 1, 2, 1, 2, 4, 0, 0, 3, 1, 2, 3, 0, 3, 2, 3, 3, 1, 0, 2, 0, 0, 2, 3, 2, 3, 1, 1, 2, 0, 0, 2, 1, 4, 4};\n nz25 = {0, 2, 1, 0, 0, 1, 2, 0, 2, 0, 1, 2, 1, 0, 2, 1, 2, 1, 0, 1, 2, 0, 1, 2, 1, 1, 1, 2, 0, 1, 0, 2, 1, 0, 2, 1};\n\n nz33 = {1, 3, 4, 4, 4, 5, 5, 7};\n nz34 = {2, 1, 0, 0, 2, 1, 3, 4};\n nz35 = {2, 1, 0, 1, 2, 1, 0, 0};\n\n // (13|2)x(54|21)=(3|45)\n // distribute blocks\n std::vector dist11 = random_dist(blk1.size(), dims3[0]);\n std::vector dist12 = random_dist(blk2.size(), dims3[1]);\n std::vector dist13 = random_dist(blk3.size(), dims3[2]);\n\n std::vector dist21 = random_dist(blk1.size(), dims4[0]);\n std::vector dist22 = random_dist(blk2.size(), dims4[1]);\n std::vector dist23 = random_dist(blk4.size(), dims4[2]);\n std::vector dist24 = random_dist(blk5.size(), dims4[3]);\n\n std::vector dist31 = random_dist(blk3.size(), dims3[0]);\n std::vector dist32 = random_dist(blk4.size(), dims3[1]);\n std::vector dist33 = random_dist(blk5.size(), dims3[2]);\n\n if (mpi_rank == 0) {\n std::cout << \"dist11:\" << std::endl;\n printvec(dist11);\n\n std::cout << \"dist12:\" << std::endl;\n printvec(dist12);\n\n std::cout << \"dist13:\" << std::endl;\n printvec(dist13);\n\n std::cout << \"dist21:\" << std::endl;\n printvec(dist21);\n\n std::cout << \"dist22:\" << std::endl;\n printvec(dist22);\n\n std::cout << \"dist23:\" << std::endl;\n printvec(dist23);\n\n std::cout << \"dist24:\" << std::endl;\n printvec(dist24);\n\n std::cout << \"dist31:\" << std::endl;\n printvec(dist31);\n\n std::cout << \"dist32:\" << std::endl;\n printvec(dist32);\n\n std::cout << \"dist33:\" << std::endl;\n printvec(dist33);\n }\n\n dbcsr_t_distribution dist1 = nullptr;\n dbcsr_t_distribution dist2 = nullptr;\n dbcsr_t_distribution dist3 = nullptr;\n\n // (13|2)x(54|21)=(3|45)\n std::vector map11, map12, map21, map22, map31, map32;\n\n map11 = {0, 2};\n map12 = {1};\n map21 = {3, 2};\n map22 = {1, 0};\n map31 = {0};\n map32 = {1, 2};\n\n if (mpi_rank == 0) std::cout << \"Creating dist objects...\" << '\\n' << std::endl;\n\n // create distribution objects\n c_dbcsr_t_distribution_new(\n &dist1, pgrid_3d, dist11.data(), dist11.size(), dist12.data(), dist12.size(), dist13.data(), dist13.size(), nullptr, 0);\n\n c_dbcsr_t_distribution_new(&dist2, pgrid_4d, dist21.data(), dist21.size(), dist22.data(), dist22.size(), dist23.data(),\n dist23.size(), dist24.data(), dist24.size());\n\n c_dbcsr_t_distribution_new(\n &dist3, pgrid_3d, dist31.data(), dist31.size(), dist32.data(), dist32.size(), dist33.data(), dist33.size(), nullptr, 0);\n\n MPI_Barrier(MPI_COMM_WORLD);\n\n // create tensors\n // (13|2)x(54|21)=(3|45)\n\n dbcsr_t_tensor tensor1 = nullptr;\n dbcsr_t_tensor tensor2 = nullptr;\n dbcsr_t_tensor tensor3 = nullptr;\n\n if (mpi_rank == 0) std::cout << \"Creating tensors...\" << std::endl;\n\n c_dbcsr_t_create_new(&tensor1, \"(13|2)\", dist1, map11.data(), map11.size(), map12.data(), map12.size(), nullptr, blk1.data(),\n blk1.size(), blk2.data(), blk2.size(), blk3.data(), blk3.size(), nullptr, 0);\n\n c_dbcsr_t_create_new(&tensor2, \"(54|21)\", dist2, map21.data(), map21.size(), map22.data(), map22.size(), nullptr, blk1.data(),\n blk1.size(), blk2.data(), blk2.size(), blk4.data(), blk4.size(), blk5.data(), blk5.size());\n\n c_dbcsr_t_create_new(&tensor3, \"(3|45)\", dist3, map31.data(), map31.size(), map32.data(), map32.size(), nullptr, blk3.data(),\n blk3.size(), blk4.data(), blk4.size(), blk5.data(), blk5.size(), nullptr, 0);\n\n MPI_Barrier(MPI_COMM_WORLD);\n\n // fill the tensors\n\n if (mpi_rank == 0) std::cout << \"Tensor 1\" << '\\n' << std::endl;\n fill_random(tensor1, {nz11, nz12, nz13});\n if (mpi_rank == 0) std::cout << \"Tensor 2\" << '\\n' << std::endl;\n fill_random(tensor2, {nz21, nz22, nz24, nz25});\n if (mpi_rank == 0) std::cout << \"Tensor 3\" << '\\n' << std::endl;\n fill_random(tensor3, {nz33, nz34, nz35});\n\n // contracting\n\n // (13|2)x(54|21)=(3|45)\n\n MPI_Barrier(MPI_COMM_WORLD);\n\n if (mpi_rank == 0) std::cout << \"Contracting...\" << std::endl;\n\n // cn : indices to be contracted\n // noncn : indices not to be contracted\n // mapn : how nonc indices map to tensor 3\n std::vector c1, nonc1, c2, nonc2, map1, map2;\n c1 = {0, 1};\n nonc1 = {2};\n c2 = {0, 1};\n nonc2 = {2, 3};\n map1 = {0};\n map2 = {1, 2};\n\n int unit_nr = -1;\n if (mpi_rank == 0) unit_nr = 6;\n bool log_verbose = true;\n\n // tensor_3(map_1, map_2) := 0.2 * tensor_1(notcontract_1, contract_1)\n // * tensor_2(contract_2, notcontract_2)\n // + 0.8 * tensor_3(map_1, map_2)\n\n c_dbcsr_t_contract_r_dp(0.2, tensor1, tensor2, 0.8, tensor3, c1.data(), c1.size(), nonc1.data(), nonc1.size(), c2.data(),\n c2.size(), nonc2.data(), nonc2.size(), map1.data(), map1.size(), map2.data(), map2.size(), nullptr, nullptr, nullptr, nullptr,\n nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, &unit_nr, &log_verbose);\n\n c_dbcsr_t_destroy(&tensor1);\n c_dbcsr_t_destroy(&tensor2);\n c_dbcsr_t_destroy(&tensor3);\n\n c_dbcsr_t_pgrid_destroy(&pgrid_3d, nullptr);\n c_dbcsr_t_pgrid_destroy(&pgrid_4d, nullptr);\n\n c_dbcsr_t_distribution_destroy(&dist1);\n c_dbcsr_t_distribution_destroy(&dist2);\n c_dbcsr_t_distribution_destroy(&dist3);\n\n c_dbcsr_finalize_lib();\n\n MPI_Finalize();\n\n return 0;\n}\n" }, { "path": "src/.gitignore", "content": "!/dist/\n" }, { "path": "src/CMakeLists.txt", "content": "# =================================================================================================\n# INCLUDE\ninclude(fypp-sources)\ninclude(GNUInstallDirs) # required to get a proper LIBDIR variable\ninclude(CMakePackageConfigHelpers)\n\n# =================================================================================================\n# SOURCE FILE LISTS\nadd_fypp_sources(\n DBCSR_FORTRAN_SRCS\n dbcsr_api.F\n acc/cuda/dbcsr_cuda_profiling.F\n acc/dbcsr_acc_device.F\n acc/dbcsr_acc_devmem.F\n acc/dbcsr_acc_event.F\n acc/dbcsr_acc_hostmem.F\n acc/dbcsr_acc_init.F\n acc/dbcsr_acc_stream.F\n acc/dbcsr_acc_timings.F\n acc/hip/dbcsr_hip_profiling.F\n base/dbcsr_base_hooks.F\n base/dbcsr_kinds.F\n base/dbcsr_machine.F\n base/dbcsr_machine_internal.F\n block/dbcsr_block_access.F\n block/dbcsr_block_operations.F\n block/dbcsr_index_operations.F\n block/dbcsr_iterator_operations.F\n core/dbcsr_array_types.F\n core/dbcsr_config.F\n core/dbcsr_lib.F\n core/dbcsr_methods.F\n core/dbcsr_types.F\n core/dbcsr_dict.F\n core/dbcsr_error_handling.F\n core/dbcsr_iter_types.F\n core/dbcsr_list_callstackentry.F\n core/dbcsr_list.F\n core/dbcsr_list_routinereport.F\n core/dbcsr_list_routinestat.F\n core/dbcsr_list_timerenv.F\n core/dbcsr_log_handling.F\n core/dbcsr_print_messages.F\n core/dbcsr_timings_base_type.F\n core/dbcsr_timings.F\n core/dbcsr_timings_report.F\n core/dbcsr_timings_types.F\n data/dbcsr_data_operations.F\n data/dbcsr_data_methods.F\n data/dbcsr_data_methods_low.F\n data/dbcsr_data_types.F\n data/dbcsr_mem_methods.F\n data/dbcsr_ptr_util.F\n dist/dbcsr_dist_methods.F\n dist/dbcsr_dist_operations.F\n dist/dbcsr_dist_util.F\n mm/dbcsr_acc_operations.F\n mm/dbcsr_mm_3d.F\n mm/dbcsr_mm_accdrv.F\n mm/dbcsr_mm_cannon.F\n mm/dbcsr_mm_common.F\n mm/dbcsr_mm_csr.F\n mm/dbcsr_mm_dist_operations.F\n mm/dbcsr_mm.F\n mm/dbcsr_mm_hostdrv.F\n mm/dbcsr_mm_multrec.F\n mm/dbcsr_mm_sched.F\n mm/dbcsr_mm_types.F\n mm/dbcsr_multiply_api.F\n mpi/dbcsr_mp_methods.F\n mpi/dbcsr_mp_operations.F\n mpi/dbcsr_mpiwrap.F\n ops/dbcsr_csr_conversions.F\n ops/dbcsr_io.F\n ops/dbcsr_operations.F\n ops/dbcsr_test_methods.F\n ops/dbcsr_tests.F\n ops/dbcsr_transformations.F\n tas/dbcsr_tas_base.F\n tas/dbcsr_tas_global.F\n tas/dbcsr_tas_io.F\n tas/dbcsr_tas_mm.F\n tas/dbcsr_tas_reshape_ops.F\n tas/dbcsr_tas_split.F\n tas/dbcsr_tas_test.F\n tas/dbcsr_tas_types.F\n tas/dbcsr_tas_util.F\n tensors/dbcsr_allocate_wrap.F\n tensors/dbcsr_array_list_methods.F\n tensors/dbcsr_tensor_api.F\n tensors/dbcsr_tensor_block.F\n tensors/dbcsr_tensor.F\n tensors/dbcsr_tensor_index.F\n tensors/dbcsr_tensor_io.F\n tensors/dbcsr_tensor_reshape.F\n tensors/dbcsr_tensor_split.F\n tensors/dbcsr_tensor_test.F\n tensors/dbcsr_tensor_types.F\n utils/dbcsr_array_sort.F\n utils/dbcsr_blas_operations.F\n utils/dbcsr_btree.F\n utils/dbcsr_files.F\n utils/dbcsr_min_heap.F\n utils/dbcsr_string_utilities.F\n utils/dbcsr_toollib.F\n work/dbcsr_work_operations.F)\n\nset(DBCSR_HIP_AND_CUDA_SRCS\n acc/libsmm_acc/libsmm_acc_benchmark.cpp\n acc/libsmm_acc/libsmm_acc_init.cpp\n acc/libsmm_acc/libsmm_acc.cpp\n acc/cuda_hip/calculate_norms.cpp\n acc/cuda_hip/acc_blas.cpp\n acc/cuda_hip/acc_dev.cpp\n acc/cuda_hip/acc_error.cpp\n acc/cuda_hip/acc_event.cpp\n acc/cuda_hip/acc_utils.cpp\n acc/cuda_hip/acc_init.cpp\n acc/cuda_hip/acc_mem.cpp\n acc/cuda_hip/acc_stream.cpp)\n\nset(DBCSR_CUDA_SRCS ${DBCSR_HIP_AND_CUDA_SRCS} acc/cuda/acc_cuda.cpp\n acc/cuda/dbcsr_cuda_nvtx_cu.cpp)\n\nset(DBCSR_HIP_SRCS ${DBCSR_HIP_AND_CUDA_SRCS} acc/hip/acc_hip.cpp)\n\nif (USE_ACCEL MATCHES \"hip\")\n set_source_files_properties(acc/cuda_hip/calculate_norms.cpp\n PROPERTIES LANGUAGE HIP)\n set_source_files_properties(acc/cuda_hip/calculate_norms.cpp\n PROPERTIES COMPILE_FLAGS \"-fPIE\")\nelseif (USE_ACCEL MATCHES \"cuda\")\n set_source_files_properties(acc/cuda_hip/calculate_norms.cpp\n PROPERTIES LANGUAGE CUDA)\n set_source_files_properties(acc/cuda_hip/calculate_norms.cpp\n PROPERTIES COMPILE_FLAGS \"--x cu\")\nendif ()\n\nset(DBCSR_OPENCL_SRCS\n acc/opencl/smm/opencl_libsmm.c acc/opencl/acc_opencl.c\n acc/opencl/acc_opencl_event.c acc/opencl/acc_opencl_mem.c\n acc/opencl/acc_opencl_stream.c)\n\n# set the __SHORT_FILE__ per file for dbcsr sources\nforeach (dbcsr_src ${DBCSR_FORTRAN_SRCS})\n # add_fypp_sources returns a path in the current binary dir\n get_filename_component(short_file \"${dbcsr_src}\" NAME)\n set_source_files_properties(\n ${dbcsr_src} PROPERTIES COMPILE_DEFINITIONS __SHORT_FILE__=\"${short_file}\")\nendforeach ()\n\n# override -Werror for certain translation units\nif ((CMAKE_Fortran_COMPILER_ID STREQUAL \"GNU\")\n AND (CMAKE_Fortran_COMPILER_VERSION VERSION_GREATER_EQUAL 10))\n set_source_files_properties(mpi/dbcsr_mpiwrap.F PROPERTIES COMPILE_FLAGS\n -Wno-error)\nendif ()\n\nset(DBCSR_SRCS ${DBCSR_FORTRAN_SRCS})\n\nif (USE_ACCEL MATCHES \"cuda\")\n set(DBCSR_SRCS ${DBCSR_SRCS} ${DBCSR_CUDA_SRCS})\nelseif (USE_ACCEL MATCHES \"hip\")\n set(DBCSR_SRCS ${DBCSR_SRCS} ${DBCSR_HIP_SRCS})\nelseif (USE_ACCEL MATCHES \"opencl\")\n set(DBCSR_SRCS ${DBCSR_SRCS} ${DBCSR_OPENCL_SRCS})\nendif ()\n\n# =================================================================================================\n# DBCSR LIBRARY\nadd_library(dbcsr ${DBCSR_SRCS})\n\n# -fPIC can also be used in the static case. Addresses are resolved during the\n# linking process\nset_target_properties(\n dbcsr\n PROPERTIES VERSION ${dbcsr_VERSION}\n SOVERSION ${dbcsr_APIVERSION}\n POSITION_INDEPENDENT_CODE ON)\n\nif (USE_ACCEL MATCHES \"hip\")\n set_target_properties(dbcsr PROPERTIES HIP_ARCHITECTURES \"${ACC_ARCH_NUMBER}\")\nelseif (USE_ACCEL MATCHES \"cuda\")\n set_target_properties(dbcsr PROPERTIES CUDA_ARCHITECTURES\n \"${ACC_ARCH_NUMBER}\")\nendif ()\n\nif (USE_SMM MATCHES \"libxsmm\" OR (USE_SMM MATCHES \"auto\" AND LIBXSMM_FOUND))\n target_compile_definitions(dbcsr PRIVATE __LIBXSMM)\n target_link_directories(dbcsr PUBLIC ${LIBXSMM_LIBRARY_DIRS})\n if (USE_OPENMP)\n target_link_libraries(dbcsr PRIVATE PkgConfig::LIBXSMMEXT)\n endif ()\n target_link_libraries(dbcsr PRIVATE PkgConfig::LIBXSMM)\n target_link_libraries(dbcsr PRIVATE ${BLAS_LIBRARIES})\nendif ()\n\nif (BLAS_LIBRARIES MATCHES \"mkl_\")\n target_compile_definitions(dbcsr PRIVATE __MKL)\nendif ()\n\nif (APPLE)\n # fix /proc/self/statm can not be opened on macOS\n target_compile_definitions(dbcsr PRIVATE __NO_STATM_ACCESS)\n\n if (BLAS_LIBRARIES MATCHES \"Accelerate\")\n target_compile_definitions(dbcsr PRIVATE __ACCELERATE)\n endif ()\nendif ()\n\n# set -DNDEBUG for Release builds\ntarget_compile_definitions(dbcsr PRIVATE $<$:NDEBUG>)\n\ntarget_link_libraries(dbcsr PRIVATE ${BLAS_LIBRARIES} ${LAPACK_LIBRARIES})\ntarget_include_directories(\n dbcsr PRIVATE base) # do not export those includes, but some srcs do an\n # unprefixed include\n# make sure dependencies of dbcsr find the dbcsr_api.mod file plus some files\n# they usually include:\ntarget_include_directories(\n dbcsr\n PUBLIC $\n $\n $)\ntarget_compile_definitions(dbcsr PRIVATE __STATM_TOTAL)\nset_target_properties(dbcsr PROPERTIES LINKER_LANGUAGE Fortran)\n\nif (MPI_FOUND)\n # once built, a user of the dbcsr library can not influence anything anymore\n # by setting those flags:\n target_compile_definitions(dbcsr PRIVATE __parallel)\n\n # If requested, use the MPI_F08 module\n if (USE_MPI_F08)\n target_compile_definitions(dbcsr PRIVATE __USE_MPI_F08)\n endif ()\n\n # Instead of resetting the compiler for MPI, we are adding the compiler flags\n # otherwise added by the mpifort-wrapper directly; based on hints from:\n # https://cmake.org/pipermail/cmake/2012-June/050991.html Here we assume that\n # the MPI implementation found uses the same compiler as the Fortran compiler\n # we found prior. Otherwise we might be adding incompatible compiler flags at\n # this point. when built against MPI, a dbcsr consumer has to specify the MPI\n # flags as well, therefore: PUBLIC\n target_link_libraries(dbcsr PUBLIC MPI::MPI_Fortran)\n\n # Workaround https://gitlab.kitware.com/cmake/cmake/-/issues/27231\n get_target_property(opts MPI::MPI_Fortran INTERFACE_COMPILE_OPTIONS)\n set_target_properties(\n MPI::MPI_Fortran PROPERTIES INTERFACE_COMPILE_OPTIONS\n \"$<$:${opts}>\")\n unset(opts)\n\nendif ()\n\ntarget_link_libraries(\n dbcsr\n PRIVATE $<$:OpenMP::OpenMP_C>\n $<$:OpenMP::OpenMP_CXX>\n $<$:OpenMP::OpenMP_Fortran>)\n\n# todo, make this a bit better with opencl.\nif (USE_ACCEL MATCHES \"cuda|hip\")\n add_subdirectory(acc/libsmm_acc)\nendif ()\n\nif (USE_ACCEL MATCHES \"opencl\")\n add_subdirectory(acc/opencl/smm)\nendif ()\n\nif (USE_ACCEL)\n target_compile_definitions(\n dbcsr\n PRIVATE __DBCSR_ACC\n $<$:__CUDA>\n $<$:__OPENCL>\n $<$:ARCH_NUMBER=${ACC_ARCH_NUMBER}>\n $<$:__HIP>\n $<$:ARCH_NUMBER=${ACC_ARCH_NUMBER}>\n $<$:__CUDA_PROFILING>\n $<$:__HIP_PROFILING>)\n\n target_link_libraries(\n dbcsr\n PRIVATE $<$:CUDA::cudart>\n $<$:CUDA::cuda_driver>\n $<$:CUDA::cublas>\n $<$:CUDA::nvrtc>\n $<$:CUDA::nvToolsExt>\n $<$:roc::hipblas>\n $<$:hiprtc::hiprtc>\n $<$:hip::host>\n $<$:roctx64>\n $<$:roctracer64>\n $<$:OpenCL::OpenCL>)\nendif ()\n\n# =================================================================================================\n# DBCSR's C API\nif (WITH_C_API)\n # Build the C API as a separate library\n add_fypp_sources(DBCSR_C_SRCS dbcsr.h dbcsr_api_c.F\n tensors/dbcsr_tensor_api_c.F tensors/dbcsr_tensor.h)\n\n add_library(dbcsr_c ${DBCSR_C_SRCS})\n set_target_properties(dbcsr_c PROPERTIES LINKER_LANGUAGE Fortran)\n\n set_target_properties(\n dbcsr_c\n PROPERTIES VERSION ${dbcsr_VERSION}\n SOVERSION ${dbcsr_APIVERSION}\n POSITION_INDEPENDENT_CODE ON)\n\n target_link_libraries(dbcsr_c PRIVATE dbcsr)\n target_link_libraries(dbcsr_c PUBLIC MPI::MPI_C) # the C API always needs MPI\n target_include_directories(\n dbcsr_c\n PUBLIC\n $ # change order so compiler\n # first checks binary\n # directory\n $\n $)\nendif ()\n\n# =================================================================================================\n# INSTALL\n\nset(config_install_dir \"${CMAKE_INSTALL_LIBDIR}/cmake/${PROJECT_NAME}\")\nset(config_namespace \"DBCSR::\")\n\n# Install targets\ninstall(\n TARGETS dbcsr\n EXPORT DBCSRTargets\n LIBRARY DESTINATION \"${CMAKE_INSTALL_LIBDIR}\"\n ARCHIVE DESTINATION \"${CMAKE_INSTALL_LIBDIR}\")\n# See https://gitlab.kitware.com/cmake/cmake/-/issues/19608\n# CMAKE_INSTALL_Fortran_MODULES may not be an \"official\" variable\nif (NOT CMAKE_INSTALL_Fortran_MODULES)\n set(CMAKE_INSTALL_Fortran_MODULES \"${CMAKE_INSTALL_INCLUDEDIR}\")\nendif ()\ninstall(FILES \"${CMAKE_CURRENT_BINARY_DIR}/dbcsr_api.mod\"\n DESTINATION \"${CMAKE_INSTALL_Fortran_MODULES}\")\ninstall(FILES \"${CMAKE_CURRENT_BINARY_DIR}/dbcsr_tensor_api.mod\"\n DESTINATION \"${CMAKE_INSTALL_Fortran_MODULES}\")\n\nif (WITH_C_API)\n install(\n TARGETS dbcsr_c\n EXPORT DBCSRTargets\n COMPONENT C\n LIBRARY DESTINATION \"${CMAKE_INSTALL_LIBDIR}\"\n ARCHIVE DESTINATION \"${CMAKE_INSTALL_LIBDIR}\")\n install(\n FILES \"${CMAKE_CURRENT_BINARY_DIR}/dbcsr.h\"\n \"${CMAKE_CURRENT_BINARY_DIR}/tensors/dbcsr_tensor.h\"\n COMPONENT C\n DESTINATION \"${CMAKE_INSTALL_INCLUDEDIR}\")\nendif ()\n\nif (USE_ACCEL MATCHES \"opencl\")\n foreach (FILE ${DBCSR_ACC_HEADER})\n cmake_path(GET FILE PARENT_PATH SUBDIR)\n install(FILES \"${FILE}\" DESTINATION \"${CMAKE_INSTALL_INCLUDEDIR}/${SUBDIR}\")\n endforeach ()\n install(PROGRAMS \"${DBCSR_OPENCL_SCRIPT}\"\n DESTINATION \"${CMAKE_INSTALL_DATADIR}/opencl\")\n foreach (FILE ${DBCSR_OPENCL_COMMON})\n cmake_path(GET FILE PARENT_PATH SUBDIR)\n install(FILES \"${FILE}\" DESTINATION \"${CMAKE_INSTALL_INCLUDEDIR}/${SUBDIR}\")\n endforeach ()\nendif ()\n\nconfigure_package_config_file(\n cmake/DBCSRConfig.cmake.in \"${CMAKE_CURRENT_BINARY_DIR}/DBCSRConfig.cmake\"\n INSTALL_DESTINATION \"${config_install_dir}\")\nwrite_basic_package_version_file(\n \"${CMAKE_CURRENT_BINARY_DIR}/DBCSRConfigVersion.cmake\"\n VERSION \"${dbcsr_VERSION}\"\n COMPATIBILITY SameMajorVersion)\ninstall(\n EXPORT DBCSRTargets\n NAMESPACE \"${config_namespace}\"\n DESTINATION \"${config_install_dir}\")\ninstall(FILES ${CMAKE_CURRENT_BINARY_DIR}/DBCSRConfig.cmake\n ${CMAKE_CURRENT_BINARY_DIR}/DBCSRConfigVersion.cmake\n DESTINATION ${config_install_dir})\n" }, { "path": "src/PACKAGE", "content": "{\n\"description\": \"Distributed Block Compressed Sparse Row, A sparse matrix library\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"base\", \"mpi\", \"data\", \"dist\",\n\"block\", \"ops\", \"mm\", \"core\", \"utils\", \"work\"],\n\"public\": [\"*.F\"]\n}\n" }, { "path": "src/acc/PACKAGE", "content": "{\n\"description\": \"Generic accelerator API\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../base\", \"../core\", \"cuda\", \"hip\", \"opencl\", \"libsmm_acc\"]\n}\n" }, { "path": "src/acc/README.md", "content": "# ACCelerator Interface\n\n## Backends\n\nThe accelerator interface (ACC) consists of ISO_C_BINDING based Fortran code of DBCSR's [ACC-backend interface](https://github.com/cp2k/dbcsr/blob/develop/src/acc/acc.h) and [LIBSMM/ACC-interface](https://github.com/cp2k/dbcsr/blob/develop/src/acc/acc_libsmm.h). The interface is implemented by CUDA (for Nvidia GPUs), the HIP (for AMD GPUs), and the OpenCL accelerator backends.\n\nThe code for both the CUDA and the HIP backend is unified, and can be found in the `cuda` directory. At compile-time either one or the other backend is chosen per macro (`__CUDA` or `__HIP`). Similarly, the code for the OpenCL backend is activated by a build-time macro (`__OPENCL`).\n\n## Miniapp\n\nThere is one stand-alone sample code or driver exercising the ACC-interface. The driver code (only depending on above mentioned interfaces) can be built locally and in a rather self-contained fashion, i.e., no DBCSR library is needed (except runtime libraries such as CUDA, HIP, OpenCL). For OpenCL, the LIBXSMM library is mandatory and preferred as baseline and for validation in any case. To build LIBXSMM, a folder `libxsmm` in parallel to DBCSR's root directory (`dbcsr`) is expected to be present and prebuilt.\n\n```bash\ngit clone -b main https://github.com/libxsmm/libxsmm.git\ncd libxsmm\nmake GNU=1 -j\n```\n\nTo build the driver code (`opencl` in below example), change into the respective backend folder (`cuda` or `opencl`), and invoke `make` (`DBG=0|1|2` is supported among other optional key-value pairs).\n\n```bash\ngit clone https://github.com/cp2k/dbcsr.git\ncd dbcsr/src/acc/opencl\nmake\n```\n\n**NOTE**: To activate a certain device, the driver considers an environment variable called `DEVICE`. For example, `DEVICE=1 ./acc_bench` activates the second device (at least two devices must be discovered). This environment variable is implemented by the driver code and meant to work across backends, i.e., the OpenCL backend also supports `ACC_OPENCL_DEVICE=1` (see Developer Guide for the OpenCL backend).\n\nThe driver supports command line options (_nrepeat_, _stack_size_, _m_, _n_, _k_, ...). Command line arguments are positional but allow `0` as placeholder to refer to the default value (`acc_bench 0 0 5 13 5` performs the default number of repetitions with the default stacksize when running the 5x13x5-kernel). For example, running the tranpose benchmark may look like:\n\n```bash\n$ OMP_PROC_BIND=TRUE ./acc_bench 3 30000 23 23 23\nActivated device0 (ndevices=8)\nacc_bench 3 30000 23 23 23 1875 18750 18750\ntypename (id=3): double\ncopy-in (2058 MB): 92 ms 21.9 GB/s\ntranspose: 0.23 ms 3187.9 GFLOPS/s\ndevice: 0.18 ms 4122.8 GFLOPS/s\nhost: 0.57 ms 1278.1 GFLOPS/s\ndiff.cur: 3.20547e-15 (|36.6983-36.6983|=5.47118e-13)\n```\n\nFor timing, comparison (host code), and validation, LIBXSMM is required. The driver exercises the respective backend. For example with the CUDA backend:\n\n```bash\ncd src/acc/cuda\nmake WITH_GPU=P100\n../acc_bench\n```\n\nFor the OpenCL backend:\n\n```bash\ncd src/acc/opencl\nmake\n../acc_bench\n```\n\nIn above cases, `acc_bench` is built using the respective backend. The driver code can be built for double-precision (default) or single-precision using a build-time macro (`make ELEM_TYPE=float` or `-DELEM_TYPE=float` in general).\n" }, { "path": "src/acc/acc.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#ifndef DBCSR_ACC_H\n#define DBCSR_ACC_H\n\n#include \n\n#define DBCSR_STRINGIFY_AUX(SYMBOL) #SYMBOL\n#define DBCSR_STRINGIFY(SYMBOL) DBCSR_STRINGIFY_AUX(SYMBOL)\n#define DBCSR_CONCATENATE2(A, B) A##B\n#define DBCSR_CONCATENATE(A, B) DBCSR_CONCATENATE2(A, B)\n\n/** used to mark variables used */\n#define DBCSR_MARK_USED(x) (void)(x)\n\n#if defined(__cplusplus)\nextern \"C\" {\n#endif\n\n/** types */\ntypedef int c_dbcsr_acc_bool_t;\n\n/** initialization and finalization */\nint c_dbcsr_acc_init(void);\nint c_dbcsr_acc_finalize(void);\nvoid c_dbcsr_acc_clear_errors(void);\n\n/** devices */\nint c_dbcsr_acc_get_ndevices(int* ndevices);\nint c_dbcsr_acc_set_active_device(int device_id);\nint c_dbcsr_acc_device_synchronize(void);\n\n/** streams */\nint c_dbcsr_acc_stream_priority_range(int* least, int* greatest);\nint c_dbcsr_acc_stream_create(void** stream_p, const char* name,\n /** lower number is higher priority */\n int priority);\nint c_dbcsr_acc_stream_destroy(void* stream);\nint c_dbcsr_acc_stream_sync(void* stream);\nint c_dbcsr_acc_stream_wait_event(void* stream, void* event);\n\n/** events */\nint c_dbcsr_acc_event_create(void** event_p);\nint c_dbcsr_acc_event_destroy(void* event);\nint c_dbcsr_acc_event_record(void* event, void* stream);\nint c_dbcsr_acc_event_query(void* event, c_dbcsr_acc_bool_t* has_occurred);\nint c_dbcsr_acc_event_synchronize(void* event);\n\n/** memory */\nint c_dbcsr_acc_dev_mem_allocate(void** dev_mem, size_t nbytes);\nint c_dbcsr_acc_dev_mem_deallocate(void* dev_mem);\nint c_dbcsr_acc_dev_mem_set_ptr(void** dev_mem, void* other, size_t lb);\nint c_dbcsr_acc_host_mem_allocate(void** host_mem, size_t nbytes, void* stream);\nint c_dbcsr_acc_host_mem_deallocate(void* host_mem, void* stream);\nint c_dbcsr_acc_memcpy_h2d(const void* host_mem, void* dev_mem, size_t nbytes, void* stream);\nint c_dbcsr_acc_memcpy_d2h(const void* dev_mem, void* host_mem, size_t nbytes, void* stream);\nint c_dbcsr_acc_memcpy_d2d(const void* devmem_src, void* devmem_dst, size_t nbytes, void* stream);\nint c_dbcsr_acc_memset_zero(void* dev_mem, size_t offset, size_t nbytes, void* stream);\nint c_dbcsr_acc_dev_mem_info(size_t* mem_free, size_t* mem_total);\n\nvoid c_dbcsr_timeset(const char** routineN, const int* routineN_len, int* handle);\nvoid c_dbcsr_timestop(const int* handle);\n\n#if defined(__cplusplus)\n}\n#endif\n\n#endif /*DBCSR_ACC_H*/\n" }, { "path": "src/acc/acc_bench.c", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n#include \"acc_libsmm.h\"\n#include \"acc_bench.h\"\n#include \n#include \n#include \n\n#if defined(__LIBXSMM)\n# if defined(LIBXSMM_DEFAULT_CONFIG)\n# include \n# else\n# include \n# if !defined(LIBXSMM_TIMER_H)\n# include \n# endif\n# if !defined(LIBXSMM_SYNC_H)\n# include \n# endif\n# endif\n# if defined(LIBXSMM_VERSION_NUMBER) && LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n# define USE_LIBXSMM\n# endif\n#endif\n\n#if defined(USE_LIBXSMM)\n# if defined(_OPENMP)\n# define ACC_BENCH_USEOMP(FUNC) LIBXSMM_USEOMP(FUNC)\n# else\n# define ACC_BENCH_USEOMP(FUNC) (FUNC)\n# endif\n# define ACC_BENCH_GEMM_BATCH(IPREC, OPREC, TRANSA, TRANSB, M, N, K, ALPHA, A, LDA, STRIDE_A, B, LDB, STRIDE_B, BETA, C, LDC, \\\n STRIDE_C, INDEX_STRIDE, INDEX_BASE, BATCHSIZE) \\\n ACC_BENCH_USEOMP(libxsmm_gemm_batch) \\\n (IPREC, OPREC, TRANSA, TRANSB, M, N, K, ALPHA, A, LDA, STRIDE_A, B, LDB, STRIDE_B, BETA, C, LDC, STRIDE_C, INDEX_STRIDE, \\\n INDEX_BASE, BATCHSIZE)\n# define PRINTF(...) \\\n do { \\\n const size_t print_buffer_size = sizeof(print_buffer) - print_offset; \\\n const int print_buffer_result = LIBXSMM_SNPRINTF(print_buffer + print_offset, print_buffer_size, __VA_ARGS__); \\\n assert(0 <= print_buffer_result && print_buffer_result < (int)print_buffer_size); \\\n print_offset += print_buffer_result; \\\n } while (0)\n#else\n# define PRINTF(...) printf(__VA_ARGS__)\n#endif\n\n#if !defined(DEDUPLICATE) && 0\n# define DEDUPLICATE\n#endif\n#if !defined(ELEM_TYPE)\n# define ELEM_TYPE double\n#endif\n#if !defined(ALIGNMENT)\n# define ALIGNMENT 64\n#endif\n#if !defined(BATCHGRAIN)\n# define BATCHGRAIN 100\n#endif\n#if !defined(BATCHSIZE)\n# define BATCHSIZE (300 * BATCHGRAIN)\n#endif\n#if !defined(NRAND)\n# define NRAND BATCHSIZE\n#endif\n#if !defined(NREPEAT)\n# define NREPEAT 3\n#endif\n#if !defined(XREPEAT)\n# define XREPEAT 66\n#endif\n#if !defined(TRANSPOSE)\n# define TRANSPOSE\n#endif\n#if !defined(VALIDATE)\n# define VALIDATE\n#endif\n#if !defined(WARMUP)\n# define WARMUP 2\n#endif\n#if !defined(DELIMS)\n# define DELIMS \",;:|/\\n\\t \"\n#endif\n\n#define ACC_BENCH_SMM_EPSILON(T) DBCSR_CONCATENATE(ACC_BENCH_SMM_EPSILON_, T)\n#define ACC_BENCH_SMM_EPSILON_double 1E-3\n#define ACC_BENCH_SMM_EPSILON_float 2E-3\n\n#define ROUNDUP2(N, NPOT) ((((unsigned long long)N) + ((NPOT) - 1)) & ~((NPOT) - 1))\n#define CHECK(EXPR, RPTR, VALUE) \\\n do { \\\n if (NULL != ((const void*)(RPTR))) { \\\n if (0 == *((const int*)(RPTR)) || (0 > *((const int*)(RPTR)) && 0 == (VALUE))) { \\\n const int check_r_ = (EXPR); \\\n if (0 != check_r_) { \\\n *((int*)(RPTR)) = check_r_; \\\n assert(0 > check_r_ && 0 == (VALUE)); \\\n } \\\n } \\\n } \\\n else { \\\n (EXPR); \\\n } \\\n } while (0)\n\n\nstatic void parse_params(int argc, char* argv[], FILE** file, const char** snr, const char** sss, const char** ssm,\n const char** ssn, const char** ssk, const char** snc, const char** sna, const char** snb) {\n char buffer[1024], *args[8];\n int i;\n assert(file && snr && sss && ssm && ssn && ssk && snc && sna && snb);\n --argc;\n if (NULL == *file) *file = (1 <= argc ? fopen(argv[1], \"r\") : NULL);\n if (NULL == *file) {\n for (i = 0; i < argc; ++i) args[i] = argv[i + 1];\n }\n else { /* input file is specified */\n argc = 0;\n if (NULL != fgets(buffer, sizeof(buffer), *file)) {\n char* arg = strtok(buffer, DELIMS);\n while (NULL == arg && NULL != fgets(buffer, sizeof(buffer), *file)) {\n arg = strtok(buffer, DELIMS);\n }\n for (; NULL != arg; arg = strtok(NULL, DELIMS)) {\n if (argc * sizeof(*args) < sizeof(args)) args[argc++] = arg;\n else { /* malformed command-line */\n fclose(*file);\n *file = NULL;\n break;\n }\n }\n }\n else {\n fclose(*file);\n *file = NULL;\n }\n }\n i = 0;\n if (i < argc) {\n const char* x1 = strchr(args[i], 'x');\n const char* x2 = (NULL == x1 ? NULL : strchr(x1 + 1, 'x'));\n if (NULL == x1 || NULL == x2) { /* accept \"M N K\" */\n *snr = args[i++];\n *sss = (i < argc ? args[i++] : NULL);\n if (i < argc) {\n x1 = strchr(args[i], 'x');\n x2 = (NULL == x1 ? NULL : strchr(x1 + 1, 'x'));\n *ssm = args[i++];\n if (NULL == x1 || NULL == x2) { /* accept \"M N K\" */\n *ssn = (i < argc ? args[i++] : NULL);\n *ssk = (i < argc ? args[i++] : NULL);\n }\n else { /* accept \"MxNxK\" */\n *ssn = x1 + 1;\n *ssk = x2 + 1;\n }\n }\n }\n else { /* accept \"MxNxK\" */\n *ssm = args[i++];\n *ssn = x1 + 1;\n *ssk = x2 + 1;\n }\n }\n *snc = (i < argc ? args[i++] : NULL);\n *sna = (i < argc ? args[i++] : NULL);\n *snb = (i < argc ? args[i++] : NULL);\n}\n\n\nstatic size_t parse_nbytes(const char* nbytes, size_t* nelems) {\n size_t result = 0;\n if (NULL != nelems) *nelems = 0;\n if (NULL != nbytes && '\\0' != *nbytes) {\n size_t u = strlen(nbytes) - 1;\n const char units[] = \"kmgKMG\", *const unit = strchr(units, nbytes[u]);\n char* end = NULL;\n /* take parsed value with increased type-width */\n const long long int ibytes = strtol(nbytes, &end, 10);\n if (NULL != end) { /* no obvious error */\n /* value is given without unit */\n if (NULL == unit && '\\0' == *end) {\n result = (size_t)ibytes;\n if (NULL != nelems) *nelems = result;\n }\n /* must match allowed set of units */\n else if (NULL != unit && *unit == *end) {\n result = (size_t)ibytes;\n if (NULL != nelems) *nelems = result;\n u = (unit - units) % 3 + 1;\n result <<= u * 10;\n }\n }\n }\n return result;\n}\n\n\nint main(int argc, char* argv[]) {\n const char* const env_check = getenv(\"CHECK\");\n const double check = (NULL == env_check ? -1 : fabs(atof(env_check) * ACC_BENCH_SMM_EPSILON(ELEM_TYPE)));\n#if defined(WARMUP) && (0 < WARMUP) && !defined(_DEBUG)\n const int warmup = MAX(WARMUP, 2) / 2 * 2;\n#else\n const int warmup = 0;\n#endif\n int result = c_dbcsr_acc_init(), *rnd = NULL, nok = 0, m = 0, n = 0, k = 0, i;\n const char *snr = NULL, *sss = NULL;\n const char *ssm = NULL, *ssn = NULL, *ssk = NULL;\n const char *snc = NULL, *sna = NULL, *snb = NULL;\n FILE* file = NULL;\n#if !defined(__OFFLOAD_UNIFIED_MEMORY) || !defined(DEDUPLICATE)\n const char* const env_nrepeat_h2d = getenv(\"NREPEAT_H2D\");\n const int nrepeat_h2d = (NULL == env_nrepeat_h2d ? 1 : MAX(atoi(env_nrepeat_h2d), 1));\n#endif\n#if defined(USE_LIBXSMM)\n double perf_h2d = 0, perf_dev = 0, perf_hst = 0;\n const char* const env_check_h2d = getenv(\"CHECK_H2D\");\n const char* const env_check_dev = getenv(\"CHECK_DEV\");\n const char* const env_check_hst = getenv(\"CHECK_HST\");\n# if defined(__OPENCL)\n const char* const env_nrepeat_smm = getenv(\"NREPEAT_SMM\");\n const int nrepeat_smm = (NULL == env_nrepeat_smm ? 1 : MAX(atoi(env_nrepeat_smm), 1));\n# else\n const int nrepeat_smm = 1;\n# endif\n# if defined(VALIDATE)\n double maxdiff = 0;\n# else\n DBCSR_MARK_USED(check);\n# endif\n#else\n DBCSR_MARK_USED(check);\n#endif\n CHECK(libsmm_acc_init(), &result, check); /* note: libsmm_acc_init() may imply acc_init() */\n if (EXIT_SUCCESS == result) {\n int ndevices = 0;\n result = c_dbcsr_acc_get_ndevices(&ndevices);\n if (EXIT_SUCCESS == result && 0 < ndevices) {\n const char* const env_device = getenv(\"DEVICE\");\n const char* const env_rank = (NULL != getenv(\"PMI_RANK\") ? getenv(\"PMI_RANK\") : getenv(\"OMPI_COMM_WORLD_LOCAL_RANK\"));\n const int rank = (NULL != env_rank ? atoi(env_rank) : -1);\n int device = ((NULL == env_device || '\\0' == *env_device) ? 0 : atoi(env_device));\n device = ((0 <= device && device < ndevices) ? (0 <= rank ? (rank % ndevices) : device) : -1);\n result = c_dbcsr_acc_set_active_device(device);\n if (EXIT_SUCCESS == result) {\n printf(\"Activated device%i (ndevices=%i)\\n\", device, ndevices);\n }\n else {\n fprintf(stderr, \"ERROR: Failed to activate device!\\n\");\n }\n }\n else {\n fprintf(stderr, \"ERROR: No ACC-device found!\\n\");\n if (EXIT_SUCCESS == result) result = EXIT_FAILURE;\n }\n if (EXIT_SUCCESS == result) {\n rnd = (int*)malloc(sizeof(int) * NRAND);\n if (NULL != rnd) {\n srand(25071975); /* seed rng */\n for (i = 0; i < NRAND; ++i) rnd[i] = rand();\n parse_params(argc, argv, &file, &snr, &sss, &ssm, &ssn, &ssk, &snc, &sna, &snb);\n }\n else result = EXIT_FAILURE;\n }\n }\n else {\n fprintf(stderr, \"ERROR: ACC initialization failed!\\n\");\n }\n while (EXIT_SUCCESS == result || (NULL != file && 0 > result && 0 == check)) {\n const int inr = (NULL != snr ? atoi(snr) : 0);\n const int ism = (NULL != ssm ? atoi(ssm) : 0);\n const int isn = (NULL != ssn ? atoi(ssn) : 0);\n const int isk = (NULL != ssk ? atoi(ssk) : 0);\n const int inc = (NULL != snc ? atoi(snc) : 0);\n const int ina = (NULL != sna ? atoi(sna) : 0);\n const int inb = (NULL != snb ? atoi(snb) : 0);\n if (NULL != file && 0 > result && 0 == check) result = EXIT_SUCCESS;\n m = (0 < ism ? ism : 23);\n n = (0 < isn ? isn : m);\n k = (0 < isk ? isk : m);\n {\n#if defined(ALIGNMENT) && (0 < ALIGNMENT)\n const int ma = (int)ROUNDUP2(sizeof(ELEM_TYPE) * m, ALIGNMENT);\n const int ka = (int)ROUNDUP2(sizeof(ELEM_TYPE) * k, ALIGNMENT);\n const int mn = ma * n / (int)sizeof(ELEM_TYPE);\n const int mk = ma * k / (int)sizeof(ELEM_TYPE);\n const int kn = ka * n / (int)sizeof(ELEM_TYPE);\n#else\n const int mn = m * n, mk = m * k, kn = k * n;\n#endif\n const int max_kernel_dim = ceil(sqrt(m * n));\n int *stack_hst = NULL, *stack_dev = NULL, *trans_hst = NULL, *trans_dev = NULL;\n ELEM_TYPE *amat_hst = NULL, *bmat_hst = NULL, *cmat_hst = NULL;\n ELEM_TYPE *amat_dev = NULL, *bmat_dev = NULL, *cmat_dev = NULL;\n void* stream = NULL;\n#if defined(USE_LIBXSMM)\n libxsmm_timer_tickint start;\n int print_offset = 0;\n char print_buffer[1024] = \"\";\n# if defined(TRANSPOSE) && defined(VALIDATE)\n double transpose = 0;\n# endif\n double duration = 0;\n#endif\n const char* const env_batchsize_smm = getenv(\"BATCHSIZE_SMM\");\n const int xrepeat = (0 != check ? NREPEAT : XREPEAT);\n int nrepeat = (0 < inr ? inr : xrepeat);\n int stack_size, na, nb, nc, nr, r;\n if (NULL == env_batchsize_smm) {\n stack_size = 0;\n if (NULL != sss) {\n size_t nelems, s;\n const size_t nbytes = parse_nbytes(sss, &nelems);\n if (nbytes != nelems) {\n while (1) {\n nc = (0 < inc ? MIN(inc, stack_size) : MAX(stack_size / 16, 1));\n na = (0 < ina ? ina : (10 * nc));\n nb = (0 < inb ? inb : (10 * nc));\n s = sizeof(ELEM_TYPE) * (mk * na + kn * nb) + sizeof(int) * 3 * stack_size;\n if (s < nbytes) ++stack_size;\n else break;\n }\n }\n else stack_size = (int)nelems;\n }\n }\n else { /* parse SMM_BATCHSIZE=batchsize,nrepfactor */\n i = strcspn(env_batchsize_smm, DELIMS);\n if (i < (int)sizeof(DELIMS)) {\n r = atoi(env_batchsize_smm + i + 1);\n if (0 < r) nrepeat = r;\n }\n stack_size = atoi(env_batchsize_smm);\n }\n if (0 >= stack_size) { /* trigger default */\n if (0 > stack_size) { /* randomize batchsize */\n const int r = rnd[nok % NRAND], ss = -stack_size, bs = (1 < ss ? ss : BATCHSIZE);\n const int limit = (BATCHGRAIN < ss ? ((bs + BATCHGRAIN - 1) / BATCHGRAIN) : ss);\n stack_size = (r % limit + 1) * BATCHGRAIN;\n nrepeat = MAX((BATCHSIZE * nrepeat + stack_size - 1) / stack_size, xrepeat);\n }\n else stack_size = BATCHSIZE; /* plain default */\n }\n nc = (0 < inc ? MIN(inc, stack_size) : MAX(stack_size / 16, 1));\n na = (0 < ina ? ina : (10 * nc));\n nb = (0 < inb ? inb : (10 * nc));\n nr = nrepeat * nc;\n assert(m <= (mn / n) && 0 == (mn % n));\n assert(m <= (mk / k) && 0 == (mk % k));\n assert(k <= (kn / n) && 0 == (kn % n));\n PRINTF(\n \"%s%s%i %i %i %i %i %i %i %i\\n\", 0 < argc ? argv[0] : \"\", 0 < argc ? \" \" : \"\", nrepeat, stack_size, m, n, k, nc, na, nb);\n PRINTF(\"typename (id=%i): %s\\n\", DBCSR_TYPE(ELEM_TYPE), DBCSR_STRINGIFY(ELEM_TYPE));\n if (MAX_KERNEL_DIM < max_kernel_dim) {\n fprintf(stderr, \"ERROR: Matrix shape (%i) exceeds MAX_KERNEL_DIM=%i\\n\", max_kernel_dim, MAX_KERNEL_DIM);\n result = EXIT_FAILURE;\n }\n CHECK(c_dbcsr_acc_stream_create(&stream, \"stream\", -1 /*default priority*/), &result, check);\n CHECK(c_dbcsr_acc_host_mem_allocate((void**)(void*)&amat_hst, sizeof(ELEM_TYPE) * mk * na, stream), &result, check);\n CHECK(c_dbcsr_acc_host_mem_allocate((void**)(void*)&bmat_hst, sizeof(ELEM_TYPE) * kn * nb, stream), &result, check);\n CHECK(c_dbcsr_acc_host_mem_allocate((void**)(void*)&cmat_hst, sizeof(ELEM_TYPE) * mn * nc, stream), &result, check);\n CHECK(c_dbcsr_acc_host_mem_allocate((void**)(void*)&stack_hst, sizeof(int) * 3 * stack_size, stream), &result, check);\n CHECK(c_dbcsr_acc_host_mem_allocate((void**)(void*)&trans_hst, sizeof(int) * nb, stream), &result, check);\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check); /* ensure host-data is allocated */\n if (NULL != amat_hst && NULL != bmat_hst && NULL != trans_hst && NULL != stack_hst) {\n init_stack(stack_hst, stack_size, NRAND, rnd, mn, mk, kn, nc, na, nb);\n#if defined(_OPENMP)\n# pragma omp parallel\n#endif\n {\n#if defined(_OPENMP)\n# pragma omp for nowait\n#endif\n for (i = 0; i < na; ++i) INIT_MAT(ELEM_TYPE, i /*seed*/ + 42, &amat_hst[i * mk], m, k, 1.0 / (nr * na));\n#if defined(_OPENMP)\n# pragma omp for\n#endif\n for (i = 0; i < nb; ++i) {\n INIT_MAT(ELEM_TYPE, i /*seed*/ + 24, &bmat_hst[i * kn], k, n, 1.0 / (nr * nb));\n trans_hst[i] = i * kn;\n }\n }\n }\n#if !defined(__OFFLOAD_UNIFIED_MEMORY) || !defined(DEDUPLICATE)\n CHECK(c_dbcsr_acc_dev_mem_allocate((void**)(void*)&amat_dev, sizeof(ELEM_TYPE) * mk * na), &result, check);\n CHECK(c_dbcsr_acc_dev_mem_allocate((void**)(void*)&bmat_dev, sizeof(ELEM_TYPE) * kn * nb), &result, check);\n CHECK(c_dbcsr_acc_dev_mem_allocate((void**)(void*)&cmat_dev, sizeof(ELEM_TYPE) * mn * nc), &result, check);\n CHECK(c_dbcsr_acc_dev_mem_allocate((void**)(void*)&stack_dev, sizeof(int) * 3 * stack_size), &result, check);\n CHECK(c_dbcsr_acc_dev_mem_allocate((void**)(void*)&trans_dev, sizeof(int) * nb), &result, check);\n CHECK(c_dbcsr_acc_memset_zero(cmat_dev, 0 /*offset*/, sizeof(ELEM_TYPE) * mn * nc, stream), &result, check);\n CHECK(c_dbcsr_acc_memcpy_h2d(trans_hst, trans_dev, sizeof(int) * nb, stream), &result, check);\n# if defined(USE_LIBXSMM)\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check);\n start = libxsmm_timer_tick();\n# endif\n CHECK(c_dbcsr_acc_memcpy_h2d(amat_hst, amat_dev, sizeof(ELEM_TYPE) * mk * na, stream), &result, check);\n CHECK(c_dbcsr_acc_memcpy_h2d(bmat_hst, bmat_dev, sizeof(ELEM_TYPE) * kn * nb, stream), &result, check);\n CHECK(c_dbcsr_acc_memcpy_h2d(stack_hst, stack_dev, sizeof(int) * 3 * stack_size, stream), &result, check);\n if (1 < nrepeat_h2d) {\n# if defined(USE_LIBXSMM)\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check);\n start = libxsmm_timer_tick();\n# endif\n for (r = 0; r < nrepeat_h2d; ++r) {\n CHECK(c_dbcsr_acc_memcpy_h2d(amat_hst, amat_dev, sizeof(ELEM_TYPE) * mk * na, stream), &result, check);\n CHECK(c_dbcsr_acc_memcpy_h2d(bmat_hst, bmat_dev, sizeof(ELEM_TYPE) * kn * nb, stream), &result, check);\n CHECK(c_dbcsr_acc_memcpy_h2d(stack_hst, stack_dev, sizeof(int) * 3 * stack_size, stream), &result, check);\n }\n }\n# if defined(USE_LIBXSMM)\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check);\n if (NULL != amat_hst && NULL != bmat_hst && NULL != stack_hst && EXIT_SUCCESS == result) {\n const size_t size = (sizeof(ELEM_TYPE) * (mk * na + kn * nb) + sizeof(int) * 3 * stack_size);\n duration = libxsmm_timer_duration(start, libxsmm_timer_tick()) / nrepeat_h2d;\n perf_h2d = size / (duration * (1ULL << 30));\n PRINTF(\"copy-in (%i MB): %.2g ms %.1f GB/s\\n\", (int)((size + (1 << 19)) >> 20), 1000.0 * duration, perf_h2d);\n }\n# endif\n#else\n amat_dev = amat_hst;\n bmat_dev = bmat_hst;\n cmat_dev = cmat_hst;\n stack_dev = stack_hst;\n trans_dev = trans_hst;\n CHECK(c_dbcsr_acc_memset_zero(cmat_dev, 0 /*offset*/, sizeof(ELEM_TYPE) * mn * nc, stream), &result, check);\n#endif\n#if defined(TRANSPOSE) && defined(VALIDATE)\n /* warmup execution and prebuild transpose-kernel */\n for (r = 0; r < warmup / 2; ++r) {\n CHECK(libsmm_acc_transpose(trans_dev, 0 /*offset*/, nb, bmat_dev, DBCSR_TYPE(ELEM_TYPE), k, n, MAX_KERNEL_DIM, stream),\n &result, check);\n CHECK(libsmm_acc_transpose(trans_dev, 0 /*offset*/, nb, bmat_dev, DBCSR_TYPE(ELEM_TYPE), n, k, MAX_KERNEL_DIM, stream),\n &result, check);\n }\n# if defined(USE_LIBXSMM)\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check);\n start = libxsmm_timer_tick();\n# endif\n /* to perform NN-SMMs on the device, all B-matrices are transposed upfront (SMM-kernel is limited to NT) */\n CHECK(libsmm_acc_transpose(trans_dev, 0 /*offset*/, nb, bmat_dev, DBCSR_TYPE(ELEM_TYPE), k, n, MAX_KERNEL_DIM, stream),\n &result, check);\n# if defined(USE_LIBXSMM)\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check);\n transpose = libxsmm_timer_duration(start, libxsmm_timer_tick());\n# endif\n#endif\n /* warmup execution and prebuild SMM-kernel */\n for (r = 0; r < warmup; ++r) {\n CHECK(libsmm_acc_process(stack_hst, stack_dev, stack_size, DBCSR_TYPE(ELEM_TYPE), amat_dev, bmat_dev, cmat_dev, m, n, k,\n MAX_KERNEL_DIM, 1 /*homogeneous*/, stream, stream),\n &result, check);\n }\n CHECK(c_dbcsr_acc_memset_zero(cmat_dev, 0 /*offset*/, sizeof(ELEM_TYPE) * mn * nc, stream), &result, check);\n#if defined(USE_LIBXSMM)\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check);\n start = libxsmm_timer_tick();\n#endif\n for (r = 0; r < nrepeat; ++r) {\n /* GPU-kernel is limited to C += Ai * Bi^T, i.e., NT (for NN, all Bi must be transposed upfront) */\n CHECK(libsmm_acc_process(stack_hst, stack_dev, stack_size, DBCSR_TYPE(ELEM_TYPE), amat_dev, bmat_dev, cmat_dev, m, n, k,\n MAX_KERNEL_DIM, 1 /*homogeneous*/, stream, stream),\n &result, check);\n }\n#if defined(USE_LIBXSMM)\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check);\n duration = libxsmm_timer_duration(start, libxsmm_timer_tick());\n if (EXIT_SUCCESS == result) {\n if (0 < duration) {\n# if defined(TRANSPOSE) && defined(VALIDATE)\n PRINTF(\"transpose: %.2g ms %.1f GFLOPS/s\\n\", 1000.0 * (duration + transpose) / (nrepeat * nrepeat_smm),\n 1E-9 * ((size_t)2 * m * n * k * stack_size * nrepeat * nrepeat_smm) / (duration + transpose));\n# endif\n perf_dev = 1E-9 * ((size_t)2 * m * n * k * stack_size * nrepeat * nrepeat_smm) / duration;\n PRINTF(\"device: %.2g ms %.1f GFLOPS/s\\n\", 1000.0 * duration / (nrepeat * nrepeat_smm), perf_dev);\n }\n else {\n# if defined(TRANSPOSE)\n PRINTF(\"transpose: 0 ms 0 GFLOPS/s\\n\");\n# endif\n PRINTF(\"device: 0 ms 0 GFLOPS/s\\n\");\n }\n }\n# if defined(VALIDATE)\n if (EXIT_SUCCESS == result) {\n ELEM_TYPE* const gold_hst = (ELEM_TYPE*)(0 != check ? libxsmm_malloc(sizeof(ELEM_TYPE) * mn * nc) : NULL);\n /* determine host's performance independent of current result code/status */\n if (NULL != gold_hst && NULL != amat_hst && NULL != bmat_hst && NULL != stack_hst) {\n const ELEM_TYPE alpha = 1, beta = 1;\n const char transa = 'N';\n# if defined(TRANSPOSE)\n const char transb = 'N';\n# else\n const char transb = 'T';\n# endif\n memset(gold_hst, 0, sizeof(ELEM_TYPE) * mn * nc);\n for (r = 0; r < warmup; ++r) {\n ACC_BENCH_GEMM_BATCH(LIBXSMM_DATATYPE(ELEM_TYPE), LIBXSMM_DATATYPE(ELEM_TYPE), &transa, &transb, m, n, k, &alpha,\n amat_hst, &m /*lda*/, stack_hst + 0 /*stride_a*/, bmat_hst, &k /*ldb*/, stack_hst + 1 /*stride_b*/, &beta, gold_hst,\n &m /*ldc*/, stack_hst + 2 /*stride_c*/, sizeof(int) * 3, 1 /*index_base*/, stack_size);\n }\n memset(gold_hst, 0, sizeof(ELEM_TYPE) * mn * nc);\n start = libxsmm_timer_tick();\n /* CPU-kernel operates on data that is not initialized in NUMA-aware fashion */\n for (r = 0; r < (nrepeat * nrepeat_smm); ++r) {\n ACC_BENCH_GEMM_BATCH(LIBXSMM_DATATYPE(ELEM_TYPE), LIBXSMM_DATATYPE(ELEM_TYPE), &transa, &transb, m, n, k, &alpha,\n amat_hst, &m /*lda*/, stack_hst + 0 /*stride_a*/, bmat_hst, &k /*ldb*/, stack_hst + 1 /*stride_b*/, &beta, gold_hst,\n &m /*ldc*/, stack_hst + 2 /*stride_c*/, sizeof(int) * 3, 1 /*index_base*/, stack_size);\n }\n duration = libxsmm_timer_duration(start, libxsmm_timer_tick());\n perf_hst = 1E-9 * ((size_t)2 * m * n * k * stack_size * nrepeat * nrepeat_smm) / duration;\n PRINTF(\"host: %.2g ms %.1f GFLOPS/s\\n\", 1000.0 * duration / (nrepeat * nrepeat_smm), perf_hst);\n /* validate correctness in case of successful result code/status */\n if (EXIT_SUCCESS == result) {\n# if !defined(__OFFLOAD_UNIFIED_MEMORY) || !defined(DEDUPLICATE)\n /* transfer result from device to host for validation */\n CHECK(c_dbcsr_acc_memcpy_d2h(cmat_dev, cmat_hst, sizeof(ELEM_TYPE) * mn * nc, stream), &result, check);\n CHECK(c_dbcsr_acc_stream_sync(stream), &result, check);\n# endif\n# if defined(USE_LIBXSMM)\n if (EXIT_SUCCESS == result) {\n libxsmm_matdiff_info diff;\n /* validate result buffers at once (including excess/padded space) */\n result = libxsmm_matdiff(&diff, LIBXSMM_DATATYPE(ELEM_TYPE), mn, nc, gold_hst, cmat_hst, &mn, &mn);\n if (EXIT_SUCCESS == result) {\n# if defined(USE_LIBXSMM) && LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n const double epsilon = libxsmm_matdiff_epsilon(&diff); /* 1.0 - diff.rsq */\n# else\n const double epsilon = diff.normf_rel;\n# endif\n PRINTF(\"diff.cur: %g\", epsilon);\n if (maxdiff < epsilon && NULL != file) maxdiff = epsilon;\n if (0 < epsilon) {\n if (LIBXSMM_NOTNAN(diff.v_tst)) {\n PRINTF(\" (|%g-%g|=%g)\\n\", diff.v_ref, diff.v_tst, diff.linf_abs);\n }\n else {\n PRINTF(\" (%g)\\n\", diff.v_tst);\n }\n }\n else {\n PRINTF(\"\\n\");\n }\n if (0 < check && check < epsilon) result = EXIT_FAILURE;\n }\n else fprintf(stderr, \"ERROR: failed to validate!\\n\");\n }\n# endif\n }\n }\n libxsmm_free(gold_hst);\n }\n# endif\n#endif\n CHECK(c_dbcsr_acc_host_mem_deallocate(stack_hst, stream), NULL, check);\n CHECK(c_dbcsr_acc_host_mem_deallocate(trans_hst, stream), NULL, check);\n CHECK(c_dbcsr_acc_host_mem_deallocate(amat_hst, stream), NULL, check);\n CHECK(c_dbcsr_acc_host_mem_deallocate(bmat_hst, stream), NULL, check);\n CHECK(c_dbcsr_acc_host_mem_deallocate(cmat_hst, stream), NULL, check);\n#if !defined(__OFFLOAD_UNIFIED_MEMORY) || !defined(DEDUPLICATE)\n CHECK(c_dbcsr_acc_dev_mem_deallocate(stack_dev), NULL, check);\n CHECK(c_dbcsr_acc_dev_mem_deallocate(trans_dev), NULL, check);\n CHECK(c_dbcsr_acc_dev_mem_deallocate(amat_dev), NULL, check);\n CHECK(c_dbcsr_acc_dev_mem_deallocate(bmat_dev), NULL, check);\n CHECK(c_dbcsr_acc_dev_mem_deallocate(cmat_dev), NULL, check);\n#endif\n CHECK(c_dbcsr_acc_stream_destroy(stream), NULL, check);\n if (0 == result || (0 > result && 0 == check)) {\n parse_params(argc, argv, &file, &snr, &sss, &ssm, &ssn, &ssk, &snc, &sna, &snb);\n if (NULL != file) PRINTF(\"\\n\");\n ++nok;\n }\n#if defined(USE_LIBXSMM)\n if (0 == result) {\n LIBXSMM_STDIO_ACQUIRE();\n fputs(print_buffer, stdout);\n LIBXSMM_STDIO_RELEASE();\n }\n else\n#endif\n {\n if (0 > result) fprintf(stderr, \"WARNING: %ix%ix%i-kernel not available or unsuitable!\\n\", m, n, k);\n }\n if (NULL == file && (0 == result || (0 > result && 0 == check))) break;\n }\n }\n free(rnd); /* release array of random numbers */\n#if !defined(__CUDA)\n CHECK(libsmm_acc_finalize(), NULL, check);\n#endif\n CHECK(c_dbcsr_acc_finalize(), NULL, check);\n#if defined(USE_LIBXSMM) && defined(VALIDATE)\n if (1 < nok) printf(\"\\ndiff.max: %g\\n\", maxdiff);\n#endif\n if (EXIT_SUCCESS == result) {\n#if defined(USE_LIBXSMM)\n if (NULL != env_check_h2d && 0 < perf_h2d) {\n const double check_h2d = atof(env_check_h2d);\n if (perf_h2d < check_h2d) result = EXIT_FAILURE;\n }\n if (NULL != env_check_dev && 0 < perf_dev) {\n const double check_dev = atof(env_check_dev);\n if (perf_dev < check_dev) result = EXIT_FAILURE;\n }\n if (NULL != env_check_hst && 0 < perf_hst) {\n const double check_hst = atof(env_check_hst);\n if (perf_hst < check_hst) result = EXIT_FAILURE;\n }\n if (EXIT_SUCCESS != result) fprintf(stderr, \"\\nFAILED\\n\\n\");\n#endif\n }\n else {\n if (NULL != file) fclose(file);\n if (0 < result) fprintf(stderr, \"\\nFAILED\\n\\n\");\n else if (0 == check) result = EXIT_SUCCESS;\n }\n return result;\n}\n" }, { "path": "src/acc/acc_bench.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#ifndef DBCSR_ACC_BENCH_H\n#define DBCSR_ACC_BENCH_H\n\n#include \n#include \n\n#if !defined(MIN)\n# define MIN(A, B) ((A) < (B) ? (A) : (B))\n#endif\n#if !defined(MAX)\n# define MAX(A, B) ((B) < (A) ? (A) : (B))\n#endif\n\n#if !defined(INLINE) && (defined(__cplusplus) || (defined(__STDC_VERSION__) && (199901L <= __STDC_VERSION__) /*C99*/))\n# define INLINE inline\n#else\n# define INLINE\n#endif\n\n#if !defined(MAX_KERNEL_DIM)\n# define MAX_KERNEL_DIM 80\n#endif\n\n#define INIT_MAT(ELEM_TYPE, SEED, MAT, M, N, SCALE) \\\n do { \\\n const double init_mat_seed1_ = (SCALE) * (SEED) + (SCALE); \\\n int init_mat_i_, init_mat_j_; \\\n for (init_mat_i_ = 0; init_mat_i_ < (N); ++init_mat_i_) { \\\n for (init_mat_j_ = 0; init_mat_j_ < (M); ++init_mat_j_) { \\\n const int init_mat_k_ = init_mat_i_ * (M) + init_mat_j_; \\\n ((ELEM_TYPE*)(MAT))[init_mat_k_] = (ELEM_TYPE)(init_mat_seed1_ * (init_mat_k_ + 1)); \\\n } \\\n } \\\n } while (0)\n\n\n/**\n * Artificial stack-setup for DBCSR/ACC benchmarks.\n * The arguments rnd and rnd_size optionally allow\n * to supply an array of (pseudo-)random-numbers.\n */\nstatic INLINE void init_stack(\n int* stack, int stack_size, int rnd_size, const int* rnd, int mn, int mk, int kn, int nc, int na, int nb) {\n /* navg matrix products are accumulated into a C-matrix */\n const int navg = stack_size / nc;\n const int nimb = MAX(1, navg - 4); /* imbalance */\n int i = 0, c = 0, ntop = 0;\n assert(0 < nc && nc <= stack_size);\n while (i < stack_size) {\n const int r = ((NULL == rnd || 0 >= rnd_size) ? rand() : rnd[i % rnd_size]), next = c + 1;\n ntop += navg + (r % (2 * nimb) - nimb);\n if (stack_size < ntop) ntop = stack_size;\n for (; i < ntop; ++i) { /* setup one-based indexes */\n int a, b;\n if (NULL != rnd && 0 < rnd_size) {\n a = rnd[(2 * i + 0) % rnd_size] % na;\n b = rnd[(2 * i + 1) % rnd_size] % nb;\n }\n else {\n a = rand() % na;\n b = rand() % nb;\n }\n *stack++ = a * mk + 1; /* A-index */\n *stack++ = b * kn + 1; /* B-index */\n *stack++ = c * mn + 1; /* C-index */\n }\n if (next < nc) c = next;\n }\n}\n\n#endif /*DBCSR_ACC_BENCH_H*/\n" }, { "path": "src/acc/acc_libsmm.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n#ifndef DBCSR_ACC_LIBSMM_H\n#define DBCSR_ACC_LIBSMM_H\n\n#include \"acc.h\"\n\n#define DBCSR_TYPE(T) DBCSR_CONCATENATE(DBCSR_TYPE_, T)\n#define DBCSR_TYPE_double dbcsr_type_real_8\n#define DBCSR_TYPE_float dbcsr_type_real_4\n\n#define LIBSMM_ACC_TRANSPOSE_ROUTINE_NAME_STRPTR ((const char**)((uintptr_t)&libsmm_acc_transpose_routine_name_ptr))\n#define LIBSMM_ACC_TRANSPOSE_ROUTINE_NAME_LENPTR (&libsmm_acc_transpose_routine_name_len)\n#define LIBSMM_ACC_TRANSPOSE_ROUTINE_NAME_STR (libsmm_acc_transpose_routine_name_str)\n\n#define LIBSMM_ACC_PROCESS_ROUTINE_NAME_STRPTR ((const char**)((uintptr_t)&libsmm_acc_process_routine_name_ptr))\n#define LIBSMM_ACC_PROCESS_ROUTINE_NAME_LENPTR (&libsmm_acc_process_routine_name_len)\n#define LIBSMM_ACC_PROCESS_ROUTINE_NAME_STR (libsmm_acc_process_routine_name_str)\n\n\n#if defined(__cplusplus)\nextern \"C\" {\n#endif\n\ntypedef enum libsmm_acc_data_t {\n dbcsr_type_real_4 = 1,\n dbcsr_type_real_8 = 3,\n dbcsr_type_complex_4 = 5,\n dbcsr_type_complex_8 = 7\n} libsmm_acc_data_t;\n\nint libsmm_acc_init(void);\nint libsmm_acc_finalize(void);\nc_dbcsr_acc_bool_t libsmm_acc_is_thread_safe(void);\n\nint libsmm_acc_transpose(const int* dev_trs_stack, int offset, int stack_size, void* dev_data, libsmm_acc_data_t datatype, int m,\n int n, int max_kernel_dim, void* stream);\n\nint libsmm_acc_process(const int* host_param_stack, const int* dev_param_stack, int stack_size, libsmm_acc_data_t datatype,\n const void* dev_a_data, const void* dev_b_data, void* dev_c_data, int m_max, int n_max, int k_max, int max_kernel_dim,\n c_dbcsr_acc_bool_t def_mnk, void* stack_stream, void* c_stream);\n\nint c_calculate_norms(const double* mat, int nblks, const int* offsets, const int* nelems, float* norms, void* stream_ptr);\n\nstatic const char libsmm_acc_transpose_routine_name_str[] = \"jit_kernel_transpose\";\nstatic const char* const libsmm_acc_transpose_routine_name_ptr = libsmm_acc_transpose_routine_name_str;\nstatic const int libsmm_acc_transpose_routine_name_len = (int)sizeof(libsmm_acc_transpose_routine_name_str) - 1;\n\nstatic const char libsmm_acc_process_routine_name_str[] = \"jit_kernel_multiply\";\nstatic const char* const libsmm_acc_process_routine_name_ptr = libsmm_acc_process_routine_name_str;\nstatic const int libsmm_acc_process_routine_name_len = (int)sizeof(libsmm_acc_process_routine_name_str) - 1;\n\n#if defined(__cplusplus)\n}\n#endif\n\n#endif /*DBCSR_ACC_LIBSMM_H*/\n" }, { "path": "src/acc/acc_triplets.sh", "content": "#!/usr/bin/env bash\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: BSD-3-Clause #\n####################################################################################################\nXARGS=$(command -v xargs)\nSORT=$(command -v sort)\nHEAD=$(command -v head)\nSED=$(command -v gsed)\nCUT=$(command -v cut)\n\n# GNU sed is desired (macOS)\nif [ ! \"${SED}\" ]; then\n SED=$(command -v sed)\nfi\n\nif [ \"${XARGS}\" ] && [ \"${SORT}\" ] && [ \"${HEAD}\" ] && [ \"${SED}\" ] && [ \"${CUT}\" ]; then\n LINES=0\n while test $# -gt 0; do\n case \"$1\" in\n -h|--help)\n HELP=1\n shift $#;;\n -l|--lines)\n LINES=1\n shift;;\n -r|--bound)\n BOUNDL=$2\n BOUNDU=$3\n shift 3;;\n -m|--limit)\n MAXEXT=$2\n shift 2;;\n -n|--triplets)\n MAXNUM=$2\n shift 2;;\n -a|--amat)\n CUTSEL=-f1,3\n shift;;\n -b|--bmat)\n CUTSEL=-f3,2\n shift;;\n -c|--cmat)\n CUTSEL=-f1,2\n shift;;\n -k|--specid)\n case \"$2\" in\n 0) TRIPLETS=\"23, 6, 14 16 29, 5 16 13 24 26, 9 16 22, 32, 64, 78, 16 29 55\";;\n 1) TRIPLETS=\"23, 6, 14 16 29, 5 32 13 24 26, 9 32 22, 32, 64, 78, 16 29 55\";;\n 2) TRIPLETS=\"23, 6, 14 16 29, 5 32 13 24 26, 9 32 22, 32, 64, 78, 16 29 55, 12\";;\n 3) TRIPLETS=\"23, 6, 14 16 29, 14 32 29, 5 32 13 24 26, 9 32 22, 32, 64, 78, 16 29 55, 32 29 55, 12\";;\n 4) TRIPLETS=\"23, 6, 14 16 29, 14 32 29, 5 32 13 24 26, 9 32 22, 32, 64, 78, 16 29 55, 32 29 55, 12, 13 26 28 32 45\";;\n 5) TRIPLETS=\"23, 6, 14 16 29, 14 32 29, 5 32 13 24 26, 9 32 22, 32, 64, 78, 16 29 55, 32 29 55, 12, 13 26 28 32 45, 7 13 25 32\";;\n 6) TRIPLETS=\"23, 6, 14 16 29, 14 32 29, 5 32 13 24 26, 9 32 22, 64, 78, 16 29 55, 32 29 55, 12, 4 5 7 9 13 25 26 28 32 45\";;\n 7) TRIPLETS=\"23, 6, 14 16 29, 14 32 29, 5 32 13 24 26, 9 32 22, 64, 78, 16 29 55, 32 29 55, 12, 4 5 7 9 13 25 26 28 32 45, 4 10\";;\n 8) TRIPLETS=\"23, 6, 14 16 29, 14 32 29, 5 32 13 24 26, 9 32 22, 64, 78, 16 29 55, 32 29 55, 12, 4 5 7 9 13 25 26 28 32 45, 4 10 15\";;\n 9) TRIPLETS=\"23, 6, 14 16 29, 14 32 29, 5 32 13 24 26, 9 32 22, 64, 78, 16 29 55, 32 29 55, 12, 4 5 7 9 13 25 26 28 32 45, 4 10 15, 6 7 8\";;\n *) TRIPLETS=\" \\\n 4 5 7 9 13 25 26 28 32 45, \\\n 13 14 25 26 32, \\\n 5 32 13 24 26, \\\n 14 16 29, \\\n 14 32 29, \\\n 16 29 55, \\\n 32 29 55, \\\n 9 32 22, \\\n 4 10 15, \\\n 6 7 8, \\\n 23, \\\n 64, \\\n 78, \\\n 12, \\\n 6\";;\n esac\n shift 2;;\n *)\n if [ \"\" = \"$(echo \"$*\" | ${SED} -n \"s/[0-9]*[[:space:]]*,*//gp\")\" ]; then\n TRIPLETS=\"$*\"\n else\n >&2 echo \"ERROR: invalid triplet specification!\"\n fi\n break;;\n esac\n done\n if [[ \"${TRIPLETS}\" && (! \"${HELP}\" || \"0\" = \"${HELP}\") ]]; then\n for SPECS in $(echo \"${TRIPLETS}\" | ${SED} -e \"s/[[:space:]][[:space:]]*/x/g\" -e \"s/,/ /g\"); do\n SPEC=$(echo \"${SPECS}\" | ${SED} -e \"s/^x//g\" -e \"s/x$//g\" -e \"s/x/,/g\")\n if [ \"${MAXEXT}\" ] && [ \"0\" != \"$((0&2 echo\"\n else\n ECHO=\"echo\"\n fi\n eval \"${ECHO} \\\"Usage: $0 [options] []\\\"\"\n eval \"${ECHO} \\\" Options must precede triplet specification\\\"\"\n eval \"${ECHO} \\\" -l|--lines: lines instead of list of words\\\"\"\n eval \"${ECHO} \\\" -r|--bound L U: limit L**3 < MNK <= U**3\\\"\"\n eval \"${ECHO} \\\" -m|--limit N: limit any shape extent to N\\\"\"\n eval \"${ECHO} \\\" -n|--triplets N: limit number of triplet\\\"\"\n eval \"${ECHO} \\\" -a|--amat: select MxK instead of MxNxK\\\"\"\n eval \"${ECHO} \\\" -b|--bmat: select KxN instead of MxNxK\\\"\"\n eval \"${ECHO} \\\" -c|--cmat: select MxN instead of MxNxK\\\"\"\n eval \"${ECHO} \\\" -k|--specid N: predefined triplets\\\"\"\n eval \"${ECHO} \\\" 0-10: older to newer (larger), e.g.,\\\"\"\n eval \"${ECHO} \\\" -k 0: 201 kernels\\\"\"\n eval \"${ECHO} \\\" -k 10: 1266 kernels\\\"\"\n eval \"${ECHO} \\\" , e.g., 134 kernels\\\"\"\n eval \"${ECHO} \\\" 23, 5 32 13 24 26, 4 9\\\"\"\n eval \"${ECHO}\"\n if [ \"${HELP}\" ] || [ \"0\" = \"${HELP}\" ]; then exit 0; fi\n >&2 echo \"ERROR: invalid or no given!\"\n exit 1\n fi\nelse\n >&2 echo \"ERROR: missing prerequisites!\"\n exit 1\nfi\n" }, { "path": "src/acc/cuda/Makefile", "content": "# This Makefile builds the SMM benchmark driver without building DBCSR.\n# It is for testing and comparison with other implementations.\n\nMAKDIR := $(subst //,,$(dir $(firstword $(MAKEFILE_LIST)))/)\nACCDIR := $(MAKDIR)/..\nDIRSMM := $(ACCDIR)/libsmm_acc\nINCACC := $(wildcard $(MAKDIR)/*.h*) $(ACCDIR)/acc.h\nSRCACC := $(wildcard $(ACCDIR)/cuda_hip/*.cpp) \\\n $(wildcard $(MAKDIR)/*.cpp) \\\n $(NULL)\nOBJACC := $(SRCACC:.cpp=.o)\n\nGPUSMM := $(wildcard $(DIRSMM)/kernels/*.h*)\nINCSMM := $(wildcard $(DIRSMM)/*.h*) \\\n $(DIRSMM)/parameters.h \\\n $(DIRSMM)/smm_acc_kernels.h \\\n $(ACCDIR)/acc_libsmm.h \\\n $(ACCDIR)/acc_bench.h \\\n $(NULL)\nSRCSMM := $(wildcard $(DIRSMM)/*.cpp)\nOBJSMM := $(SRCSMM:.cpp=.o)\n\nINCALL := $(INCACC) $(INCSMM)\n\nLIBXSMMROOT := $(wildcard $(ACCDIR)/../../../../../libxsmm)\nifeq (,$(LIBXSMMROOT))\n LIBXSMMROOT := $(wildcard $(HOME)/libxsmm)\nendif\nUNAME := $(shell uname)\nHEADERONLY ?= 0\nSTATIC ?= 1\nINTEL ?= 0\nGNU ?= 0\nDEV ?= 0\n\n# C++ baseline standard\nCXXSTD ?= -std=c++14\n\n# select from set of predefined triplet specifications\nSPECID ?= 0\n# limit shape in tests (zero or negative for unlimited)\nMAXEXT ?= 48\n# number of tests (zero or negative for unlimited)\nNSMMS ?= 10\n\nCOMMAND := $(shell which command 2>/dev/null)\nifneq (,$(COMMAND))\n which = $(shell $(COMMAND) -v $1)\nelse\n which = $(shell which $(firstword $1) 2>/dev/null)\nendif\n\nPYTHON := $(call which,python3)\nifeq (,$(PYTHON))\n PYTHON := $(call which,python)\nendif\n\nWITH_GPU := $(if $(WITH_GPU),$(WITH_GPU),$(GPUVER))\nifeq (,$(WITH_GPU))\n ifneq (,$(call which,nvidia-smi))\n GPU_NAME := $(shell nvidia-smi --query-gpu=gpu_name --format=csv,noheader -i 0 2>/dev/null | tr -c [:alnum:] \" \")\n WITH_GPU := $(filter K20X K40 K80 P100 V100 A100 H100,$(GPU_NAME))\n endif\nendif\nifeq (,$(WITH_GPU))\n WITH_GPU := P100\nendif\n\nNVCC ?= $(call which,nvcc)\nCUDA_PATH ?= $(if $(NVCC),$(abspath $(dir $(NVCC))/..))\n\nifeq ($(WITH_GPU),K20X)\n ARCH_NUMBER = 35\nelse ifeq ($(WITH_GPU),K40)\n ARCH_NUMBER = 35\nelse ifeq ($(WITH_GPU),K80)\n ARCH_NUMBER = 37\nelse ifeq ($(WITH_GPU),P100)\n ARCH_NUMBER = 60\nelse ifeq ($(WITH_GPU),V100)\n ARCH_NUMBER = 70\nelse ifeq ($(WITH_GPU),A100)\n ARCH_NUMBER = 80\nelse ifeq ($(WITH_GPU),H100)\n ARCH_NUMBER = 90\nelse ifeq (,$(ARCH_NUMBER))\n $(error Unknown ARCH_NUMBER since WITH_GPU=\"$(WITH_GPU)\" is not recognized)\nendif\n\nCFLAGS := -fPIC \\\n -Wall -Wextra -pedantic \\\n -Wno-variadic-macros \\\n -Wno-long-long \\\n $(NULL)\n\nDFLAGS := \\\n -DARCH_NUMBER=$(ARCH_NUMBER) \\\n -D__CUDA \\\n $(NULL)\n\nifneq (,$(ELEM_TYPE))\n DFLAGS += -DELEM_TYPE=$(ELEM_TYPE)\nendif\n\nifneq (0,$(INTEL))\n ifneq (1,$(INTEL))\n CXX := icpx\n CC := icx\n else\n CXX := icpc\n CC := icc\n endif\n AR := $(if $(call which,xiar),xiar,ar)\nelse\n CXX := g++\n CC := gcc\n ifneq (Darwin,$(UNAME))\n AR := gcc-ar\n else\n AR := ar\n endif\nendif\n\nifeq (0,$(DEV))\n CFLAGS += \\\n -Wno-unused-parameter \\\n -Wno-format \\\n $(NULL)\nendif\n\nifneq (0,$(DBG))\n ifeq (,$(DBG))\n DFLAGS += -DNDEBUG\n CFLAGS += -O2\n else\n ifneq (1,$(DBG))\n DFLAGS += -D_DEBUG\n endif\n CFLAGS += -O0\n endif\nelse\n DFLAGS += -DNDEBUG -DNDBGDEV\n CFLAGS += -O2\n SYM := 0\nendif\nifneq (0,$(SYM))\n CFLAGS += -g\nendif\n\nifneq (0,$(OMP))\n ifneq (0,$(INTEL))\n CFLAGS += -qopenmp\n LDFLAGS += -qopenmp\n else ifneq (Darwin,$(UNAME))\n CFLAGS += -fopenmp\n LDFLAGS += -fopenmp\n else # macOS\n CFLAGS += -Xpreprocessor -fopenmp\n LDFLAGS += -lomp\n endif\nendif\n\nifneq (,$(LIBXSMMROOT))\n ifneq (0,$(STATIC))\n ifeq (0,$(HEADERONLY))\n ifneq (0,$(OMP))\n LDFLAGS += $(LIBXSMMROOT)/lib/libxsmmext.a\n endif\n LDFLAGS += $(LIBXSMMROOT)/lib/libxsmm.a\n else\n CFLAGS_XSMM += -DLIBXSMM_DEFAULT_CONFIG\n endif\n LDFLAGS += $(LIBXSMMROOT)/lib/libxsmmnoblas.a\n else\n LDFLAGS += -L$(LIBXSMMROOT)/lib\n ifneq (Darwin,$(UNAME))\n LDFLAGS += -Wl,-rpath=$(LIBXSMMROOT)/lib\n endif\n ifneq (0,$(OMP))\n LDFLAGS += -lxsmmext\n endif\n LDFLAGS += -lxsmm -lxsmmnoblas\n endif\n CFLAGS_XSMM += -pthread -D__LIBXSMM -I$(LIBXSMMROOT)/include\n LDFLAGS += -pthread -ldl -lm\nendif\n\nifneq (,$(CUDA_PATH))\n CUDA_LIBDIR := $(if $(wildcard $(CUDA_PATH)/lib64),lib64,lib)\n LDFLAGS += -L$(CUDA_PATH)/$(CUDA_LIBDIR)/stubs -Wl,-rpath=$(CUDA_PATH)/$(CUDA_LIBDIR)/stubs\n LDFLAGS += -L$(CUDA_PATH)/$(CUDA_LIBDIR) -Wl,-rpath=$(CUDA_PATH)/$(CUDA_LIBDIR)\n CUDAINC := $(strip $(lastword $(sort $(wildcard $(CUDA_PATH)/../cuda/*/targets/x86_64-linux/include/cuda.h))))\n ifneq (,$(CUDAINC))\n CFLAGS += -I$(abspath $(dir $(CUDAINC)))\n else\n CFLAGS += -I$(CUDA_PATH)/include\n endif\nendif\n\n# Collect all paths in LD_LIBRARY_PATH and LD_LIBRARY_PATH/stubs, and append to LDFLAGS\nLD_LIBRARY_DIRS := $(wildcard $(subst :, ,$(LD_LIBRARY_PATH)))\nLD_LIBSTUB_PATH := $(wildcard $(patsubst %,%/stubs,$(LD_LIBRARY_DIRS)))\nLIBPATHS := $(foreach DIR,$(LD_LIBRARY_DIRS),$(if $(filter -L$(DIR),$(LDFLAGS)),$(NULL),-L$(DIR)))\nLIBSTUBS := $(foreach DIR,$(LD_LIBSTUB_PATH),$(if $(filter -L$(DIR),$(LDFLAGS)),$(NULL),-L$(DIR)))\nLDFLAGS += $(LIBPATHS) $(LIBSTUBS) -lcudart -lcublas -lnvrtc -lcuda\nCXXFLAGS += $(CXXSTD) $(CFLAGS)\n\n.PHONY: bench\nbench: $(ACCDIR)/acc_bench\n\n.PHONY: all\nall: bench $(ACCDIR)/dbcsr_acc_test\n\n.PHONY: test\ntest: test-interface test-smm\n\n.PHONY: test-interface\ntest-interface: $(ACCDIR)/dbcsr_acc_test\n\t@echo \"--- DBCSR Backend Interface\"\n\t$(ACCDIR)/dbcsr_acc_test\n\n$(MAKDIR)/test-smm.log: bench\n\t$(eval SHAPES = $(shell $(ACCDIR)/acc_triplets.sh -k $(SPECID) -m $(MAXEXT) -n $(NSMMS)))\n\t@echo \"--- DBCSR CUDA SMMs ($(words $(SHAPES)))\"\n\t@echo \"LD_LIBRARY_PATH=${LD_LIBRARY_PATH}\"\nifneq (,$(LD_PRELOAD))\n\t@echo \"LD_PRELOAD=${LD_PRELOAD}\"\nendif\n\t@echo \"NVCC: $$($(NVCC) --version | head -n1)\"\n\t@echo \"CXX: $$($(CXX) --version | head -n1)\"\n\t@echo \"CC: $$($(CC) --version | head -n1)\"\n\t@echo \"runtime libraries:\"\n\t@ldd $(ACCDIR)/acc_bench\n\t@echo \"hostname: $$(hostname)\"\n\t@echo\n\t@echo \"$(SHAPES)\" | xargs -n1 | (CHECK=$(if $(CHECK),$(CHECK),1) stdbuf --output=L \\\n\t\t$(ACCDIR)/acc_bench /dev/stdin 2>$(MAKDIR)/test-smm.err && rm $(MAKDIR)/test-smm.err) | tee $@\n\n.PHONY: test-smm\ntest-smm: $(MAKDIR)/test-smm.log\nifneq (,$(call which,datamash))\nifeq (,$(shell datamash geomean 2>&1 | grep invalid))\n\t@echo \"geomean: $$(sed -n \"/device:/p\" $< 2>/dev/null | datamash -W -R 1 geomean 4) GFLOPS/s\"\nendif\n\t@echo \"median: $$(sed -n \"/device:/p\" $< 2>/dev/null | datamash -W -R 1 median 4) GFLOPS/s\"\n\t@echo \"mean: $$(sed -n \"/device:/p\" $< 2>/dev/null | datamash -W -R 1 mean 4) GFLOPS/s\"\nendif\n\t@if [ -s $(MAKDIR)/test-smm.err ]; then \\\n\t\techo && cat $(MAKDIR)/test-smm.err; \\\n\t\tif [ \"0\" != \"$(if $(CHECK),$(CHECK),1)\" ]; then exit 1; fi; \\\n\tfi\n\nPARDIR := $(DIRSMM)/parameters\nPARAMS := $(wildcard $(PARDIR)/parameters_$(WITH_GPU).json)\n$(DIRSMM)/parameters.h: $(MAKDIR)/Makefile $(DIRSMM)/generate_parameters.py $(PARAMS)\n\t@cd $(DIRSMM) && $(PYTHON) ../libsmm_acc/generate_parameters.py --gpu_version=$(WITH_GPU) --base_dir=../libsmm_acc/parameters\n\n$(DIRSMM)/smm_acc_kernels.h: $(GPUSMM) $(MAKDIR)/Makefile $(DIRSMM)/generate_kernels.py $(PARAMS)\n\t@cd $(DIRSMM) && $(PYTHON) ../libsmm_acc/generate_kernels.py ../libsmm_acc/kernels\n\n.PHONY: backend\nbackend: $(ACCDIR)/dbcsr_acc.a\n$(ACCDIR)/dbcsr_acc.a: $(OBJACC) $(DIRSMM)/libsmm_acc_init.o\n\t$(AR) -rs $@ $^\n\n.PHONY: libsmm\nlibsmm: $(ACCDIR)/dbcsr_acc_smm.a\n$(ACCDIR)/dbcsr_acc_smm.a: $(OBJSMM)\n\t$(AR) -rs $@ $^\n\n%.o: %.cpp $(INCALL) $(MAKDIR)/Makefile\n\t$(CXX) $(DFLAGS) $(CXXFLAGS) $(CFLAGS_XSMM) -c $< -o $@\n\n%.o: %.cu $(INCALL) $(MAKDIR)/Makefile\n\t$(NVCC) $(DFLAGS) -allow-unsupported-compiler $(CXXSTD) \\\n\t\t--compiler-options=\"$(filter-out $(CXXSTD),$(CXXFLAGS)) $(CFLAGS_XSMM)\" -c $< -o $@\n\n$(ACCDIR)/cuda_hip/calculate_norms.o: $(ACCDIR)/cuda_hip/calculate_norms.cpp $(INCALL) $(MAKDIR)/Makefile\n\t$(NVCC) $(DFLAGS) -allow-unsupported-compiler $(CXXSTD) -x cu \\\n\t\t--compiler-options=\"$(filter-out $(CXXSTD) -pedantic,$(CXXFLAGS)) $(CFLAGS_XSMM)\" -c $< -o $@\n\n$(MAKDIR)/acc_bench.o: $(ACCDIR)/acc_bench.c $(MAKDIR)/Makefile\nifneq (0,$(LIBXSMM))\n\t$(CC) $(DFLAGS) $(CFLAGS) $(CFLAGS_XSMM) -c $< -o $@\nelse\n\t$(CC) $(DFLAGS) $(CFLAGS) -c $< -o $@\nendif\n$(ACCDIR)/acc_bench: $(MAKDIR)/acc_bench.o $(ACCDIR)/dbcsr_acc.a $(ACCDIR)/dbcsr_acc_smm.a\n\t$(CXX) $^ $(LDFLAGS) -o $@\n\n$(MAKDIR)/dbcsr_acc_test.o: $(ACCDIR)/../../tests/dbcsr_acc_test.c $(MAKDIR)/Makefile\n\t$(CC) $(DFLAGS) $(CFLAGS) -I$(ACCDIR)/.. -c $< -o $@\n$(ACCDIR)/dbcsr_acc_test: $(MAKDIR)/dbcsr_acc_test.o $(ACCDIR)/dbcsr_acc.a $(ACCDIR)/dbcsr_acc_smm.a\n\t$(CXX) $^ $(LDFLAGS) -o $@\n\n.PHONY: clean\nclean:\n\t@rm -f $(OBJACC) $(OBJSMM)\n\t@rm -f $(MAKDIR)/dbcsr_acc_test.o\n\t@rm -f $(MAKDIR)/acc_bench.o\n\t@rm -f $(DIRSMM)/parameters.h\n\t@rm -f $(DIRSMM)/smm_acc_kernels.h\n\t@rm -f $(MAKDIR)/test-smm.err\n\n.PHONY: realclean\nrealclean: clean\n\t@rm -f $(ACCDIR)/dbcsr_acc.a $(ACCDIR)/dbcsr_acc_smm.a\n\t@rm -f $(ACCDIR)/acc_bench\n\t@rm -f $(ACCDIR)/dbcsr_acc_test\n\t@rm -f $(MAKDIR)/test-smm.log\n" }, { "path": "src/acc/cuda/PACKAGE", "content": "{\n\"description\": \"Cuda backend for accelerator API\",\n\"archive\":\"libdbcsr\",\n\"requires\": [\"../../base\"]\n}\n" }, { "path": "src/acc/cuda/acc_cuda.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \"acc_cuda.h\"\n\nnvrtcResult nvrtcGetLowLevelCode(nvrtcProgram prog, char* code) { return nvrtcGetPTX(prog, code); }\n\nnvrtcResult nvrtcGetLowLevelCodeSize(nvrtcProgram prog, size_t* codeSizeRet) { return nvrtcGetPTXSize(prog, codeSizeRet); }\n\nCUresult cuLaunchJITKernel(CUfunction f, unsigned int gridDimX, unsigned int gridDimY, unsigned int gridDimZ,\n unsigned int blockDimX, unsigned int blockDimY, unsigned int blockDimZ, unsigned int sharedMemBytes, CUstream stream,\n void** kernelParams, void** extra) {\n return cuLaunchKernel(\n f, gridDimX, gridDimY, gridDimZ, blockDimX, blockDimY, blockDimZ, sharedMemBytes, stream, kernelParams, extra);\n}\n\n// CUDA Runtime API: flag values\nCUevent_flags CUEventDefault = CU_EVENT_DEFAULT;\nCUstream_flags CUStreamDefault = CU_STREAM_DEFAULT;\nCUsharedconfig CUSharedMemBankSizeEightByte = CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE;\n\ncublasStatus_t ACC_BLAS_STATUS_SUCCESS = CUBLAS_STATUS_SUCCESS;\ncublasOperation_t ACC_BLAS_OP_N = CUBLAS_OP_N;\ncublasOperation_t ACC_BLAS_OP_T = CUBLAS_OP_T;\nnvrtcResult ACC_RTC_SUCCESS = NVRTC_SUCCESS;\n" }, { "path": "src/acc/cuda/acc_cuda.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef ACC_CUDA_H\n#define ACC_CUDA_H\n\n#include \n#include \n#include \n#include \n#include \n\n#define ACC(x) cuda##x\n#define ACC_DRV(x) CU##x\n#define ACC_DRV_FUNC_PREFIX(x) cu##x\n#define ACC_RTC(x) nvrtc##x\n#define ACC_BLAS(x) cublas##x\n#define BACKEND \"CUDA\"\n\n/* Macros for CUDA error handling\n * Wrap calls to CUDA runtime API (CUDART)\n */\n#define ACC_API_CALL(func, args) \\\n do { \\\n cudaError_t result = ACC(func) args; \\\n if (result != cudaSuccess) { \\\n printf(\"\\nCUDA RUNTIME API error: %s failed with error %s (%s::%d)\\n\", #func, cudaGetErrorName(result), __FILE__, __LINE__); \\\n exit(1); \\\n } \\\n } while (0)\n\n/* Wrap calls to CUDA driver API */\n#define ACC_DRV_CALL(func, args) \\\n do { \\\n CUresult result = ACC_DRV_FUNC_PREFIX(func) args; \\\n if (result != CUDA_SUCCESS) { \\\n const char* msg; \\\n cuGetErrorName(result, &msg); \\\n printf(\"\\nCUDA DRIVER API ERROR: %s failed with error %s (%s::%d)\\n\", #func, msg, __FILE__, __LINE__); \\\n exit(1); \\\n } \\\n } while (0)\n\n/* Wrap calls to CUDA NVRTC API */\n#define ACC_RTC_CALL(func, args) \\\n do { \\\n nvrtcResult result = ACC_RTC(func) args; \\\n if (result != NVRTC_SUCCESS) { \\\n printf(\"\\nNVRTC ERROR: %s failed with error %s\\n\", #func, nvrtcGetErrorString(result)); \\\n exit(1); \\\n } \\\n } while (0)\n\n\n/* Wrap calls to CUDA CUBLAS API */\n#define ACC_BLAS_CALL(func, args) \\\n do { \\\n cublasStatus_t result = ACC_BLAS(func) args; \\\n if (result != CUBLAS_STATUS_SUCCESS) { \\\n const char* error_name = \"CUBLAS_ERRROR\"; \\\n if (result == CUBLAS_STATUS_NOT_INITIALIZED) { \\\n error_name = \"CUBLAS_STATUS_NOT_INITIALIZED\"; \\\n } \\\n else if (result == CUBLAS_STATUS_ALLOC_FAILED) { \\\n error_name = \"CUBLAS_STATUS_ALLOC_FAILED\"; \\\n } \\\n else if (result == CUBLAS_STATUS_INVALID_VALUE) { \\\n error_name = \"CUBLAS_STATUS_INVALID_VALUE\"; \\\n } \\\n else if (result == CUBLAS_STATUS_ARCH_MISMATCH) { \\\n error_name = \"CUBLAS_STATUS_ARCH_MISMATCH\"; \\\n } \\\n else if (result == CUBLAS_STATUS_MAPPING_ERROR) { \\\n error_name = \"CUBLAS_STATUS_MAPPING_ERROR\"; \\\n } \\\n else if (result == CUBLAS_STATUS_EXECUTION_FAILED) { \\\n error_name = \"CUBLAS_STATUS_EXECUTION_FAILED\"; \\\n } \\\n else if (result == CUBLAS_STATUS_INTERNAL_ERROR) { \\\n error_name = \"CUBLAS_STATUS_INTERNAL_ERROR\"; \\\n } \\\n printf(\"\\nCUBLAS ERROR: %s failed with error %s\\n\", #func, error_name); \\\n exit(1); \\\n } \\\n } while (0)\n\n\nextern nvrtcResult nvrtcGetLowLevelCode(nvrtcProgram prog, char* code);\nextern nvrtcResult nvrtcGetLowLevelCodeSize(nvrtcProgram prog, size_t* codeSizeRet);\nextern CUresult cuLaunchJITKernel(CUfunction f, unsigned int gridDimX, unsigned int gridDimY, unsigned int gridDimZ,\n unsigned int blockDimX, unsigned int blockDimY, unsigned int blockDimZ, unsigned int sharedMemBytes, CUstream stream,\n void** kernelParams, void** extra);\n\n/* CUDA Runtime API: flag values */\nextern CUevent_flags CUEventDefault;\nextern CUstream_flags CUStreamDefault;\nextern CUsharedconfig CUSharedMemBankSizeEightByte;\n\n/* CUBLAS status and operations */\nextern cublasStatus_t ACC_BLAS_STATUS_SUCCESS;\nextern cublasOperation_t ACC_BLAS_OP_N;\nextern cublasOperation_t ACC_BLAS_OP_T;\n\n/* NVRTC error status */\nextern nvrtcResult ACC_RTC_SUCCESS;\n\n#endif /*ACC_CUDA_H*/\n" }, { "path": "src/acc/cuda/dbcsr_cuda_nvtx_cu.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#if defined(__CUDA_PROFILING)\n\n# include \n# include \n# include \n# include \n\nconst uint32_t colormap[] = {0xFFFFFF00, // Yellow\n 0xFFFF00FF, // Fuchsia\n 0xFFFF0000, // Red\n 0xFFC0C0C0, // Silver\n 0xFF808080, // Gray\n 0xFF808000, // Olive\n 0xFF800080, // Purple\n 0xFF800000, // Maroon\n 0xFF00FFFF, // Aqua\n 0xFF00FF00, // Lime\n 0xFF008080, // Teal\n 0xFF008000, // Green\n 0xFF0000FF, // Blue\n 0xFF000080}; // Navy\n\n//==============================================================================\nextern \"C\" int cuda_nvtx_range_push_cu(const char* message) {\n // assembling event attribute\n nvtxEventAttributes_t eventAttrib = {0};\n eventAttrib.version = NVTX_VERSION;\n eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE;\n eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII;\n eventAttrib.message.ascii = message;\n\n // colors are picked based on a (very simple) hash value of the message\n int hash = 0;\n for (size_t i = 0; i < strlen(message); i++) hash += i * message[i] * message[i];\n eventAttrib.colorType = NVTX_COLOR_ARGB;\n eventAttrib.color = colormap[hash % 14];\n\n // these field could be filled with useful stuff\n eventAttrib.payloadType = NVTX_PAYLOAD_TYPE_INT64;\n eventAttrib.payload.llValue = 123;\n eventAttrib.category = 42;\n\n int level = nvtxRangePushEx(&eventAttrib);\n return (level);\n}\n\n//==============================================================================\nextern \"C\" int cuda_nvtx_range_pop_cu() {\n int level = nvtxRangePop();\n return (level);\n}\n\n//==============================================================================\nextern \"C\" void cuda_nvtx_name_osthread_cu(char* name) { nvtxNameOsThread(pthread_self(), name); }\n\n#endif\n" }, { "path": "src/acc/cuda/dbcsr_cuda_profiling.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_cuda_profiling\n !! routines for profiling cuda\n USE ISO_C_BINDING, ONLY: C_CHAR, &\n C_INT, &\n C_NULL_CHAR, &\n C_SIZE_T\n USE dbcsr_kinds, ONLY: default_string_length, &\n int_8\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: cuda_nvtx_init, cuda_nvtx_range_push, cuda_nvtx_range_pop\n\n#if defined( __CUDA_PROFILING )\n\n INTERFACE\n FUNCTION cuda_nvtx_range_push_dc(message) RESULT(level) &\n BIND(C, name=\"cuda_nvtx_range_push_cu\")\n IMPORT\n CHARACTER(kind=C_CHAR), DIMENSION(*), &\n INTENT(IN) :: message\n INTEGER(KIND=C_INT) :: level\n\n END FUNCTION cuda_nvtx_range_push_dc\n END INTERFACE\n\n INTERFACE\n FUNCTION cuda_nvtx_range_pop_dc() RESULT(level) &\n BIND(C, name=\"cuda_nvtx_range_pop_cu\")\n IMPORT\n INTEGER(KIND=C_INT) :: level\n\n END FUNCTION cuda_nvtx_range_pop_dc\n END INTERFACE\n\n INTERFACE\n SUBROUTINE cuda_nvtx_name_osthread_cu(name) &\n BIND(C, name=\"cuda_nvtx_name_osthread_cu\")\n IMPORT\n CHARACTER(KIND=C_CHAR), DIMENSION(*) :: name\n\n END SUBROUTINE cuda_nvtx_name_osthread_cu\n END INTERFACE\n\n#endif\n\nCONTAINS\n\n SUBROUTINE cuda_nvtx_init()\n#if defined( __CUDA_PROFILING )\n CHARACTER(len=default_string_length) :: threadname\n INTEGER :: ithread\n\n!$OMP PARALLEL DEFAULT (NONE), PRIVATE (ithread,threadname)\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n WRITE (threadname, \"(I3,A,I2,A)\") ithread\n CALL cuda_nvtx_name_osthread_cu(TRIM(threadname)//c_null_char)\n!$OMP END PARALLEL\n#endif\n END SUBROUTINE cuda_nvtx_init\n\n SUBROUTINE cuda_nvtx_range_push(routineN)\n CHARACTER(LEN=*), INTENT(IN) :: routineN\n#if defined( __CUDA_PROFILING )\n INTEGER :: level\n level = cuda_nvtx_range_push_dc(TRIM(routineN)//CHAR(0))\n#else\n CALL dbcsr_abort(__LOCATION__, \"cuda_nvtx_range_push: \"// &\n \"__CUDA_PROFILING not compiled in, but called with:\"//TRIM(routineN))\n#endif\n END SUBROUTINE cuda_nvtx_range_push\n\n SUBROUTINE cuda_nvtx_range_pop()\n#if defined( __CUDA_PROFILING )\n INTEGER :: level\n level = cuda_nvtx_range_pop_dc()\n#else\n DBCSR_ABORT(\"cuda_nvtx_range_push: __CUDA_PROFILING not compiled in.\")\n#endif\n END SUBROUTINE cuda_nvtx_range_pop\n\nEND MODULE dbcsr_cuda_profiling\n" }, { "path": "src/acc/cuda_hip/PACKAGE", "content": "{\n\"description\": \"CUDA/HIP backend for accelerator API\",\n\"archive\":\"libdbcsr\",\n\"requires\": [\"../../base\", \"..\", \"../cuda\", \"../hip\"]\n}\n" }, { "path": "src/acc/cuda_hip/acc_blas.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \n\n#include \"acc_blas.h\"\n#include \"acc_error.h\"\n\n\n/****************************************************************************/\nint acc_blas_create(ACC_BLAS(Handle_t) * *handle) {\n *handle = (ACC_BLAS(Handle_t)*)malloc(sizeof(ACC_BLAS(Handle_t)));\n ACC_BLAS_CALL(Create, (*handle));\n return (0);\n}\n\n/****************************************************************************/\nint acc_blas_destroy(ACC_BLAS(Handle_t) * handle) {\n ACC_BLAS(Status_t) cStatus = ACC_BLAS(Destroy)(*handle);\n free(handle);\n if (cStatus != ACC_BLAS_STATUS_SUCCESS) {\n printf(\"ACC BLAS finalization failed\\n\");\n return (-1);\n }\n return (0);\n}\n\n/****************************************************************************/\nint acc_blas_dgemm(ACC_BLAS(Handle_t) * handle, char transa, char transb, int m, int n, int k, int a_offset, int b_offset,\n int c_offset, const double* a_data, const double* b_data, double* c_data, double alpha, double beta, ACC(Stream_t) * stream) {\n ACC_BLAS(Operation_t) cTransa = transa == 'N' ? ACC_BLAS_OP_N : ACC_BLAS_OP_T;\n ACC_BLAS(Operation_t) cTransb = transb == 'N' ? ACC_BLAS_OP_N : ACC_BLAS_OP_T;\n int& lda = transa == 'N' ? m : k;\n int& ldb = transb == 'N' ? k : n;\n\n ACC_BLAS_CALL(SetStream, (*handle, *stream));\n\n ACC_BLAS_CALL(Dgemm,\n (*handle, cTransa, cTransb, m, n, k, &alpha, &a_data[a_offset], lda, &b_data[b_offset], ldb, &beta, &c_data[c_offset], lda));\n\n return (0);\n}\n" }, { "path": "src/acc/cuda_hip/acc_blas.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef ACC_BLAS_H\n#define ACC_BLAS_H\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \n#include \"acc_error.h\"\n\n/****************************************************************************/\nint acc_blas_create(ACC_BLAS(Handle_t) * *handle);\n\n/****************************************************************************/\nint acc_blas_destroy(ACC_BLAS(Handle_t) * handle);\n\n/****************************************************************************/\nint acc_blas_dgemm(ACC_BLAS(Handle_t) * handle, char transa, char transb, int m, int n, int k, int a_offset, int b_offset,\n int c_offset, const double* a_data, const double* b_data, double* c_data, double alpha, double beta, ACC(Stream_t) * stream);\n\n#endif /* ACC_BLAS_H */\n" }, { "path": "src/acc/cuda_hip/acc_dev.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* Copyright (C) 2022 Advanced Micro Devices, Inc. - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \"acc_error.h\"\n#include \"../acc.h\"\n\n#include \n#include \n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_get_ndevices(int* n_devices) {\n ACC_API_CALL(GetDeviceCount, (n_devices));\n return 0;\n}\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_device_synchronize() {\n ACC_API_CALL(DeviceSynchronize, ());\n return 0;\n}\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_set_active_device(int device_id) {\n int myDevice;\n\n ACC_API_CALL(SetDevice, (device_id));\n ACC_API_CALL(GetDevice, (&myDevice));\n\n if (myDevice != device_id) return -1;\n\n // establish context\n ACC_API_CALL(Free, (0));\n\n#if defined(__CUDA) || defined(__HIP_PLATFORM_NVCC__)\n static bool once = false;\n if (!once) {\n ACC_API_CALL(DeviceSetLimit, (ACC(LimitPrintfFifoSize), (size_t)1000000000));\n once = true;\n }\n#endif\n\n return 0;\n}\n" }, { "path": "src/acc/cuda_hip/acc_error.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \"acc_error.h\"\n\n#include \n#include \n\n/****************************************************************************/\nint acc_error_check(ACC(Error_t) error) {\n if (error != ACC(Success)) {\n printf(BACKEND \" error: %s\\n\", ACC(GetErrorString)(error));\n return -1;\n }\n return 0;\n}\n\nextern \"C\" void c_dbcsr_acc_clear_errors() { ACC(GetLastError)(); }\n" }, { "path": "src/acc/cuda_hip/acc_error.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef LIBSMM_ACC_H\n#define LIBSMM_ACC_H\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\nint acc_error_check(ACC(Error_t) acc_error);\n\n#endif /* LIBSMM_ACC_H */\n" }, { "path": "src/acc/cuda_hip/acc_event.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \"acc_error.h\"\n#include \"../acc.h\"\n\n#include \n#include \n\nstatic const int verbose_print = 0;\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_event_create(void** event_p) {\n *event_p = malloc(sizeof(ACC(Event_t)));\n ACC(Event_t)* acc_event = (ACC(Event_t)*)*event_p;\n\n ACC(Error_t) cErr = ACC(EventCreate)(acc_event);\n if (verbose_print) printf(\"EventCreate) : %p -> %ld\\n\", *event_p, (long int)*acc_event);\n if (acc_error_check(cErr)) return -1;\n if (acc_error_check(ACC(GetLastError)())) return -1;\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_event_destroy(void* event) {\n ACC(Event_t)* acc_event = (ACC(Event_t*))event;\n\n c_dbcsr_acc_clear_errors();\n if (verbose_print) printf(\"EventDestroy, called\\n\");\n if (event == NULL) return 0; /* not an error */\n ACC(Error_t) cErr = ACC(EventDestroy)(*acc_event);\n free(acc_event);\n if (acc_error_check(cErr)) return -1;\n if (acc_error_check(ACC(GetLastError)())) return -1;\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_event_record(void* event, void* stream) {\n ACC(Event_t)* acc_event = (ACC(Event_t)*)event;\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)stream;\n\n if (verbose_print)\n printf(\"EventRecord): %p -> %ld, %p -> %ld\\n\", (const void*)acc_event, (long int)*acc_event, (const void*)acc_stream,\n (long int)*acc_stream);\n ACC_API_CALL(EventRecord, (*acc_event, *acc_stream));\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_event_query(void* event, int* has_occurred) {\n if (verbose_print) printf(\"dbcsr_acc_event_query called\\n\");\n\n ACC(Event_t)* acc_event = (ACC(Event_t)*)event;\n ACC(Error_t) cErr = ACC(EventQuery)(*acc_event);\n if (cErr == ACC(Success)) {\n *has_occurred = 1;\n return 0;\n }\n\n if (cErr == ACC(ErrorNotReady)) {\n *has_occurred = 0;\n return 0;\n }\n\n return -1; // something went wrong\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_stream_wait_event(void* stream, void* event) {\n if (verbose_print) printf(\"c_dbcsr_acc_stream_wait_event called\\n\");\n\n ACC(Event_t)* acc_event = (ACC(Event_t)*)event;\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)stream;\n\n // flags: Parameters for the operation (must be 0)\n ACC_API_CALL(StreamWaitEvent, (*acc_stream, *acc_event, 0));\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_event_synchronize(void* event) {\n if (verbose_print) printf(\"EventSynchronize called\\n\");\n ACC(Event_t)* acc_event = (ACC(Event_t)*)event;\n ACC_API_CALL(EventSynchronize, (*acc_event));\n return 0;\n}\n" }, { "path": "src/acc/cuda_hip/acc_init.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \"../acc.h\"\n#include \"../acc_libsmm.h\"\n\n#include \n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_init() {\n int myDevice, runtimeVersion;\n // Driver boilerplate\n ACC_DRV_CALL(Init, (0));\n ACC_DRV(device) acc_device;\n ACC_API_CALL(GetDevice, (&myDevice));\n ACC_DRV_CALL(DeviceGet, (&acc_device, myDevice));\n#if defined(__CUDA)\n ACC_DRV(context) ctx;\n ACC_DRV_CALL(DevicePrimaryCtxRetain, (&ctx, acc_device));\n#endif\n ACC_API_CALL(RuntimeGetVersion, (&runtimeVersion));\n\n // Initialize libsmm_acc, DBCSR's GPU backend\n return libsmm_acc_init();\n}\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_finalize() {\n int myDevice;\n // Release driver resources\n ACC_DRV(device) acc_device;\n ACC_API_CALL(GetDevice, (&myDevice));\n ACC_DRV_CALL(DeviceGet, (&acc_device, myDevice));\n#if defined(__CUDA)\n ACC_DRV_CALL(DevicePrimaryCtxRelease, (acc_device));\n#endif\n return libsmm_acc_finalize();\n}\n" }, { "path": "src/acc/cuda_hip/acc_mem.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \"acc_error.h\"\n#include \"../acc.h\"\n\n#include \n#include \n\nstatic const int verbose_print = 0;\n\n// some api calls have changed, but we wrap them internally\n#pragma GCC diagnostic push\n#pragma GCC diagnostic ignored \"-Wdeprecated-declarations\"\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_dev_mem_allocate(void** dev_mem, size_t n) {\n ACC_API_CALL(Malloc, ((void**)dev_mem, (size_t)n));\n if (dev_mem == NULL) return -2;\n if (verbose_print) printf(\"Device allocation address %p, size %ld\\n\", *dev_mem, (long)n);\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_dev_mem_deallocate(void* dev_mem) {\n if (verbose_print) printf(\"Device deallocation address %p\\n\", dev_mem);\n ACC_API_CALL(Free, ((void*)dev_mem));\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_host_mem_allocate(void** host_mem, size_t n, void* stream) {\n unsigned int flag = ACC(HostAllocDefault);\n\n DBCSR_MARK_USED(stream);\n\n ACC_API_CALL(HostAlloc, ((void**)host_mem, (size_t)n, flag));\n if (host_mem == NULL) return -2;\n if (verbose_print) printf(\"Allocating %zd bytes of host pinned memory at %p\\n\", n, *host_mem);\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_host_mem_deallocate(void* host_mem, void* stream) {\n DBCSR_MARK_USED(stream);\n\n if (verbose_print) printf(\"Host pinned deallocation address %p\\n\", host_mem);\n ACC_API_CALL(FreeHost, ((void*)host_mem));\n\n return 0;\n}\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_dev_mem_set_ptr(void** dev_mem, void* other, size_t lb) {\n (*dev_mem) = ((char*)other) + lb;\n\n return 0;\n}\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_memcpy_h2d(const void* host_mem, void* dev_mem, size_t count, void* stream) {\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)stream;\n if (verbose_print) printf(\"Copying %zd bytes from host address %p to device address %p \\n\", count, host_mem, dev_mem);\n\n ACC_API_CALL(MemcpyAsync, (dev_mem, host_mem, count, ACC(MemcpyHostToDevice), *acc_stream));\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_memcpy_d2h(const void* dev_mem, void* host_mem, size_t count, void* stream) {\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)stream;\n if (verbose_print) printf(\"Copying %zd bytes from device address %p to host address %p\\n\", count, dev_mem, host_mem);\n\n ACC_API_CALL(MemcpyAsync, (host_mem, dev_mem, count, ACC(MemcpyDeviceToHost), *acc_stream));\n\n if (verbose_print) printf(\"d2h %f\\n\", *((double*)host_mem));\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_memcpy_d2d(const void* devmem_src, void* devmem_dst, size_t count, void* stream) {\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)stream;\n if (verbose_print) printf(\"Copying %zd bytes from device address %p to device address %p \\n\", count, devmem_src, devmem_dst);\n\n\n if (stream == NULL) {\n ACC_API_CALL(Memcpy, (devmem_dst, devmem_src, count, ACC(MemcpyDeviceToDevice)));\n }\n else {\n ACC_API_CALL(MemcpyAsync, (devmem_dst, devmem_src, count, ACC(MemcpyDeviceToDevice), *acc_stream));\n }\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_memset_zero(void* dev_mem, size_t offset, size_t length, void* stream) {\n ACC(Error_t) cErr;\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)stream;\n if (stream == NULL) {\n cErr = ACC(Memset)((void*)(((char*)dev_mem) + offset), (int)0, length);\n }\n else {\n cErr = ACC(MemsetAsync)((void*)(((char*)dev_mem) + offset), (int)0, length, *acc_stream);\n }\n\n if (verbose_print) printf(\"Zero at device address %p, offset %d, len %d\\n\", dev_mem, (int)offset, (int)length);\n if (acc_error_check(cErr)) return -1;\n if (acc_error_check(ACC(GetLastError)())) return -1;\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_dev_mem_info(size_t* free, size_t* avail) {\n ACC_API_CALL(MemGetInfo, (free, avail));\n return 0;\n}\n\n#pragma GCC diagnostic pop\n" }, { "path": "src/acc/cuda_hip/acc_stream.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \"acc_error.h\"\n#include \"../acc.h\"\n\n#include \n#include \n\n#if defined(__CUDA_PROFILING)\n# include \n#endif\n\nstatic const int verbose_print = 0;\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_stream_priority_range(int* least, int* greatest) {\n *least = -1;\n *greatest = -1;\n ACC_API_CALL(DeviceGetStreamPriorityRange, (least, greatest));\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_stream_create(void** stream_p, const char* name, int priority) {\n ACC(Error_t) cErr;\n *stream_p = malloc(sizeof(ACC(Stream_t)));\n\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)*stream_p;\n\n if (priority > 0) {\n unsigned int flags = ACC(StreamNonBlocking);\n cErr = ACC(StreamCreateWithPriority)(acc_stream, flags, priority);\n }\n else {\n cErr = ACC(StreamCreate)(acc_stream);\n }\n\n if (verbose_print) printf(\"StreamCreate : %p -> %p \\n\", *stream_p, (const void*)*acc_stream);\n if (acc_error_check(cErr)) return -1;\n if (acc_error_check(ACC(GetLastError)())) return -1;\n\n#if defined(__CUDA_PROFILING)\n nvtxNameCudaStreamA(*acc_stream, name);\n#else\n DBCSR_MARK_USED(name);\n#endif\n\n return 0;\n}\n\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_stream_destroy(void* stream) {\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)stream;\n\n c_dbcsr_acc_clear_errors();\n if (verbose_print) printf(\"StreamDestroy called\\n\");\n if (stream == NULL) return 0; /* not an error */\n ACC(Error_t) cErr = ACC(StreamDestroy)(*acc_stream);\n free(acc_stream);\n if (acc_error_check(cErr)) return -1;\n if (acc_error_check(ACC(GetLastError)())) return -1;\n return 0;\n}\n\n/****************************************************************************/\nextern \"C\" int c_dbcsr_acc_stream_sync(void* stream) {\n ACC(Stream_t)* acc_stream = (ACC(Stream_t)*)stream;\n c_dbcsr_acc_clear_errors();\n ACC_API_CALL(StreamSynchronize, (*acc_stream));\n return 0;\n}\n" }, { "path": "src/acc/cuda_hip/acc_utils.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \"acc_utils.h\"\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n//===========================================================================\nint acc_get_gpu_warp_size() {\n int device = 0;\n ACC(DeviceProp) prop;\n ACC_API_CALL(GetDevice, (&device));\n ACC_API_CALL(GetDeviceProperties, (&prop, device));\n return prop.warpSize;\n}\n" }, { "path": "src/acc/cuda_hip/acc_utils.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef ACC_UTILS_H\n#define ACC_UTILS_H\n\nint acc_get_gpu_warp_size(void);\n\n#endif /*ACC_UTILS_H*/\n" }, { "path": "src/acc/cuda_hip/calculate_norms.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* Copyright (C) 2022 Advanced Micro Devices, Inc. - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************\n * Authors: Gina Sitaraman *\n *****************************************************************************/\n\n/*\n * Execution configuration:\n * gridDim.x = number of matrix blocks in this batched norms calculation\n * = length of the batched norms calculation stack\n * blockIdx.x = {0, ..., gridDim.x-1}\n * blockDim.x = warp size (for now, assuming warp size is going to be 64 or 32)\n * threadIdx.x = {0, ..., blockDim.x-1}\n\n * Execute batched norms calculation\n\n * Function arguments\n * --- norms: (pointer to global memory):\n * output array of norms, one per matrix in the stack\n * --- offsets: (pointer to global memory):\n * array of offsets, indicating where each block starts in the \"mat\" buffer\n * --- nelems: (pointer to global memory):\n * array of integers, indicating the number of elements in each matrix/block\n * --- mat (pointer to global memory):\n * arrays containing the matrices for which norms are calculated\n\n * Algorithm specificities:\n * --- warp level primitives are used to reduce within a warp/wavefront, and\n * shared memory is used if more than one warp/wavefront is detected\n */\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n#include \"acc_utils.h\"\n\ntemplate\n__global__ void calculate_norms_d(\n float* __restrict__ norms, const int* __restrict__ offsets, const int* __restrict__ nelems, const double* __restrict__ mat) {\n __shared__ double buf[(blocksz + warpsz - 1) / warpsz];\n double d, sum = 0.0;\n\n /* Get the offset in the stack that this thread block should handle */\n int blkoffset = offsets[blockIdx.x];\n\n /* Get the number of elements in this matrix */\n int nelem = nelems[blockIdx.x];\n\n /* Loop over nelem matrix elements for this block */\n for (int i = threadIdx.x; i < nelem; i += blockDim.x) {\n /* Load matrix elements, reduce in register */\n d = mat[blkoffset + i];\n sum += d * d;\n }\n __syncthreads();\n\n /* reduce in warp to one value using warp level primitives */\n#if defined(__CUDA)\n unsigned mask = 0xffffffff;\n for (int offset = warpsz / 2; offset > 0; offset /= 2) {\n sum += __shfl_down_sync(mask, sum, offset);\n }\n#elif defined(__HIP)\n for (int offset = warpsz / 2; offset > 0; offset /= 2) {\n sum += __shfl_down(sum, offset);\n }\n#endif\n\n /* reduce between warps if needed */\n if (blocksz > warpsz) {\n if (threadIdx.x % warpsz == 0) {\n int warpid = threadIdx.x / warpsz;\n buf[warpid] = sum;\n }\n __syncthreads();\n if (threadIdx.x == 0) {\n for (int i = 1; i < blocksz / warpsz; ++i) {\n sum += buf[i];\n }\n }\n }\n if (threadIdx.x == 0) {\n /* write out this stack's dot product */\n norms[blockIdx.x] = sum;\n }\n}\n\nextern \"C\" int c_calculate_norms(\n const double* mat, int nblks, const int* offsets, const int* nelems, float* norms, void* stream_ptr) {\n int warp_size = acc_get_gpu_warp_size();\n\n dim3 grid(nblks);\n dim3 block(warp_size);\n\n ACC_DRV(stream) stream = *((ACC_DRV(stream)*)stream_ptr);\n /* block size may be a multiple of warp_size as well */\n if (warp_size == 64) {\n calculate_norms_d<64, 64><<>>(norms, offsets, nelems, mat);\n }\n else if (warp_size == 32) {\n calculate_norms_d<32, 32><<>>(norms, offsets, nelems, mat);\n }\n else {\n fprintf(stderr, \"Found warp size other than 64 or 32, aborting..\\n\");\n return -1;\n }\n return 0;\n}\n" }, { "path": "src/acc/dbcsr_acc_device.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_acc_device\n#if defined (__DBCSR_ACC)\n USE ISO_C_BINDING, ONLY: C_INT\n#endif\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_level\n\n IMPLICIT NONE\n\n PUBLIC :: dbcsr_acc_get_ndevices, dbcsr_acc_set_active_device, dbcsr_acc_clear_errors\n PUBLIC :: acc_device_synchronize\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_acc_device'\n\n#if defined (__DBCSR_ACC)\n INTERFACE\n FUNCTION acc_get_ndevices_cu(n_devices) RESULT(istat) &\n BIND(C, name=\"c_dbcsr_acc_get_ndevices\")\n IMPORT\n INTEGER(KIND=C_INT), INTENT(OUT) :: n_devices\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_get_ndevices_cu\n\n FUNCTION acc_set_active_device_cu(device_id) RESULT(istat) &\n BIND(C, name=\"c_dbcsr_acc_set_active_device\")\n IMPORT\n INTEGER(KIND=C_INT), INTENT(IN), VALUE :: device_id\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_set_active_device_cu\n\n FUNCTION acc_device_synchronize_cu() RESULT(istat) &\n BIND(C, name=\"c_dbcsr_acc_device_synchronize\")\n IMPORT\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_device_synchronize_cu\n\n SUBROUTINE acc_clear_errors_cu() &\n BIND(C, name=\"c_dbcsr_acc_clear_errors\")\n END SUBROUTINE acc_clear_errors_cu\n\n END INTERFACE\n\n#endif\n\nCONTAINS\n\n FUNCTION dbcsr_acc_get_ndevices() RESULT(n)\n !! Get number of accelerator devices\n\n INTEGER :: n\n !! number of accelerator devices\n\n#if defined (__DBCSR_ACC)\n INTEGER :: istat\n#endif\n\n n = 0\n#if defined (__DBCSR_ACC)\n istat = acc_get_ndevices_cu(n)\n IF (istat /= 0) &\n DBCSR_ABORT(\"dbcsr_acc_get_ndevices: failed\")\n#endif\n END FUNCTION dbcsr_acc_get_ndevices\n\n SUBROUTINE dbcsr_acc_set_active_device(device_id)\n !! Set active accelerator device\n\n INTEGER :: device_id\n\n#if defined (__DBCSR_ACC)\n INTEGER :: istat\n\n!$ IF (0 == omp_get_level()) THEN\n istat = 0\n!$OMP PARALLEL DEFAULT(NONE) SHARED(device_id) REDUCTION(MAX:istat)\n istat = acc_set_active_device_cu(device_id)\n!$OMP END PARALLEL\n!$ ELSE\n istat = acc_set_active_device_cu(device_id)\n!$ END IF\n IF (istat /= 0) &\n DBCSR_ABORT(\"dbcsr_acc_set_active_device: failed\")\n\n#else\n MARK_USED(device_id)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in\")\n#endif\n END SUBROUTINE dbcsr_acc_set_active_device\n\n SUBROUTINE dbcsr_acc_clear_errors()\n !! Clear GPU errors\n#if defined (__DBCSR_ACC)\n CALL acc_clear_errors_cu()\n#else\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in\")\n#endif\n END SUBROUTINE dbcsr_acc_clear_errors\n\n SUBROUTINE acc_device_synchronize()\n !! Fortran-wrapper for waiting for work on all streams to complete\n\n#if defined (__DBCSR_ACC)\n INTEGER :: istat\n istat = acc_device_synchronize_cu()\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_device_synchronize failed\")\n#else\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in\")\n#endif\n END SUBROUTINE acc_device_synchronize\n\nEND MODULE dbcsr_acc_device\n" }, { "path": "src/acc/dbcsr_acc_devmem.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_acc_devmem\n !! Accelerator support\n#if defined (__DBCSR_ACC)\n USE ISO_C_BINDING, ONLY: C_INT, C_SIZE_T, C_PTR, C_LOC, C_NULL_PTR, C_ASSOCIATED\n#endif\n USE dbcsr_kinds, ONLY: int_4, &\n int_4_size, &\n int_8, &\n int_8_size, &\n real_4, &\n real_4_size, &\n real_8, &\n real_8_size\n USE dbcsr_acc_stream, ONLY: acc_stream_associated, &\n acc_stream_cptr, &\n acc_stream_synchronize, &\n acc_stream_type\n USE dbcsr_acc_device, ONLY: dbcsr_acc_set_active_device\n USE dbcsr_config, ONLY: get_accdrv_active_device_id\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: acc_devmem_type\n PUBLIC :: acc_devmem_allocate_bytes, acc_devmem_deallocate\n PUBLIC :: acc_devmem_setzero_bytes\n PUBLIC :: acc_devmem_allocated\n PUBLIC :: acc_devmem_dev2host, acc_devmem_host2dev\n PUBLIC :: acc_devmem_size_in_bytes\n PUBLIC :: acc_devmem_ensure_size_bytes\n PUBLIC :: acc_devmem_cptr\n PUBLIC :: acc_devmem_set_cptr\n PUBLIC :: acc_devmem_info\n\n INTERFACE acc_devmem_dev2host\n MODULE PROCEDURE dev2host_i4_1D\n MODULE PROCEDURE dev2host_i8_1D\n MODULE PROCEDURE dev2host_r4_1D\n MODULE PROCEDURE dev2host_r8_1D\n MODULE PROCEDURE dev2host_c4_1D\n MODULE PROCEDURE dev2host_c8_1D\n END INTERFACE acc_devmem_dev2host\n\n INTERFACE acc_devmem_host2dev\n MODULE PROCEDURE host2dev_i4_1D\n MODULE PROCEDURE host2dev_i8_1D\n MODULE PROCEDURE host2dev_r4_1D\n MODULE PROCEDURE host2dev_r8_1D\n MODULE PROCEDURE host2dev_c4_1D\n MODULE PROCEDURE host2dev_c8_1D\n MODULE PROCEDURE host2dev_i4_2D\n MODULE PROCEDURE host2dev_i8_2D\n MODULE PROCEDURE host2dev_r4_2D\n MODULE PROCEDURE host2dev_r8_2D\n MODULE PROCEDURE host2dev_c4_2D\n MODULE PROCEDURE host2dev_c8_2D\n END INTERFACE acc_devmem_host2dev\n\n TYPE acc_devmem_type\n PRIVATE\n INTEGER :: size_in_bytes = -1\n#if defined (__DBCSR_ACC)\n TYPE(C_PTR) :: cptr = C_NULL_PTR\n#endif\n END TYPE acc_devmem_type\n\n#if defined (__DBCSR_ACC)\n\n INTERFACE\n FUNCTION acc_interface_dev_mem_info(free, avail) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_dev_mem_info\")\n IMPORT\n INTEGER(KIND=C_SIZE_T), INTENT(OUT) :: free, avail\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_dev_mem_info\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_dev_mem_alloc(mem, n) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_dev_mem_allocate\")\n IMPORT\n TYPE(C_PTR) :: mem\n INTEGER(KIND=C_SIZE_T), INTENT(IN), &\n VALUE :: n\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_dev_mem_alloc\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_dev_mem_dealloc(mem) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_dev_mem_deallocate\")\n IMPORT\n TYPE(C_PTR), VALUE :: mem\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_dev_mem_dealloc\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_dev_mem_set_ptr(mem, other, lb) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_dev_mem_set_ptr\")\n IMPORT\n TYPE(C_PTR) :: mem\n TYPE(C_PTR), VALUE :: other\n INTEGER(KIND=C_SIZE_T), INTENT(IN), &\n VALUE :: lb\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_dev_mem_set_ptr\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_memzero(this, offset, length, stream_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_memset_zero\")\n IMPORT\n TYPE(C_PTR), INTENT(IN), VALUE :: this\n INTEGER(KIND=C_SIZE_T), INTENT(IN), &\n VALUE :: offset, length\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_memzero\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_memcpy_h2d(host, dev, count, stream_ptr) RESULT(istat) &\n BIND(C, name=\"c_dbcsr_acc_memcpy_h2d\")\n IMPORT\n TYPE(C_PTR), INTENT(IN), VALUE :: host\n TYPE(C_PTR), VALUE :: dev\n INTEGER(KIND=C_SIZE_T), INTENT(IN), &\n VALUE :: count\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_memcpy_h2d\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_memcpy_d2h(dev, host, count, stream_ptr) RESULT(istat) &\n BIND(C, name=\"c_dbcsr_acc_memcpy_d2h\")\n IMPORT\n TYPE(C_PTR), INTENT(IN), VALUE :: dev\n TYPE(C_PTR), VALUE :: host\n INTEGER(KIND=C_SIZE_T), INTENT(IN), &\n VALUE :: count\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_memcpy_d2h\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_memcpy_d2d(dev_src, dev_dst, count, stream_ptr) RESULT(istat) &\n BIND(C, name=\"c_dbcsr_acc_memcpy_d2d\")\n IMPORT\n TYPE(C_PTR), INTENT(IN), VALUE :: dev_src\n TYPE(C_PTR), VALUE :: dev_dst\n INTEGER(KIND=C_SIZE_T), INTENT(IN), &\n VALUE :: count\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_memcpy_d2d\n END INTERFACE\n\n#endif\n\nCONTAINS\n\n SUBROUTINE acc_devmem_ensure_size_bytes(this, stream, requested_size_in_bytes, nocopy, zero_pad)\n !! Ensures that given devmem has at least the requested size.\n\n TYPE(acc_devmem_type), &\n INTENT(INOUT) :: this\n !! device memory\n TYPE(acc_stream_type), INTENT(IN) :: stream\n !! on which zeroing and memcopying is performed\n INTEGER, INTENT(IN) :: requested_size_in_bytes\n !! requested size in bytes\n LOGICAL, INTENT(IN), OPTIONAL :: nocopy, zero_pad\n !! if after growin old content should NOT be copied over. Default: false.\n !! if after growing the new memory should be zeroed. Default: false.\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(stream)\n MARK_USED(requested_size_in_bytes)\n MARK_USED(nocopy)\n MARK_USED(zero_pad)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n\n LOGICAL :: my_nocopy, my_zero_pad\n TYPE(C_PTR) :: old_cptr, new_cptr, stream_cptr\n INTEGER :: new_size, old_size, istat\n\n IF (this%size_in_bytes < 0) &\n DBCSR_ABORT(\"acc_devmem_ensure_size_bytes: not allocated\")\n IF (.NOT. acc_stream_associated(stream)) &\n DBCSR_ABORT(\"acc_devmem_ensure_size_bytes: stream not associated\")\n\n IF (this%size_in_bytes < requested_size_in_bytes) THEN\n !WRITE (*,*) \"acc_devmem_ensure_size_bytes: growing dev_mem to: \", data_size\n\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n\n new_size = requested_size_in_bytes\n old_size = this%size_in_bytes\n old_cptr = this%cptr\n\n new_cptr = C_NULL_PTR\n istat = acc_interface_dev_mem_alloc(new_cptr, INT(new_size, KIND=C_SIZE_T))\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_ensure_size_bytes: alloc failed\")\n\n this%cptr = new_cptr\n this%size_in_bytes = requested_size_in_bytes\n\n my_zero_pad = .FALSE.\n IF (PRESENT(zero_pad)) my_zero_pad = zero_pad\n IF (my_zero_pad) &\n CALL acc_devmem_setzero_bytes(this, first_byte=old_size + 1, stream=stream)\n\n my_nocopy = .FALSE.\n IF (PRESENT(nocopy)) my_nocopy = nocopy\n IF (.NOT. my_nocopy) THEN\n stream_cptr = acc_stream_cptr(stream)\n istat = acc_interface_memcpy_d2d(old_cptr, new_cptr, INT(old_size, KIND=C_SIZE_T), stream_cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_ensure_size_bytes: memcpy failed\")\n END IF\n\n CALL acc_stream_synchronize(stream)\n istat = acc_interface_dev_mem_dealloc(old_cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_ensure_size_bytes: dealloc failed\")\n\n END IF\n#endif\n END SUBROUTINE acc_devmem_ensure_size_bytes\n\n FUNCTION acc_devmem_allocated(this) RESULT(res)\n !! Returns a logical, which indicates if the given devmem is allocated.\n\n TYPE(acc_devmem_type), INTENT(IN) :: this\n LOGICAL :: res\n !! true if device memory is allocated, false otherwise\n\n#if defined (__DBCSR_ACC)\n DBCSR_ASSERT(C_ASSOCIATED(this%cptr) .OR. this%size_in_bytes <= 0)\n#endif\n\n res = this%size_in_bytes >= 0\n END FUNCTION acc_devmem_allocated\n\n FUNCTION acc_devmem_size_in_bytes(this) RESULT(res)\n !! Returns size of given devmem in terms of item count (not bytes!)\n\n TYPE(acc_devmem_type), INTENT(IN) :: this\n INTEGER :: res\n !! size of device memory (item count)\n\n IF (this%size_in_bytes < 0) &\n DBCSR_ABORT(\"acc_devmem_len: not allocated\")\n res = this%size_in_bytes\n END FUNCTION acc_devmem_size_in_bytes\n\n#if ! defined (__DBCSR_ACC)\n FUNCTION acc_devmem_cptr(this) RESULT(res)\n !! Returns C-pointer to data of given devmem.\n\n INTEGER, INTENT(IN) :: this\n !! device memory\n LOGICAL :: res\n !! false (accelerator support is not enabled)\n\n MARK_USED(this)\n res = .FALSE.\n END FUNCTION acc_devmem_cptr\n#else\n FUNCTION acc_devmem_cptr(this) RESULT(res)\n !! Returns C-pointer to data of given devmem.\n\n TYPE(acc_devmem_type), INTENT(IN) :: this\n TYPE(C_PTR) :: res\n !! C-pointer to data of given devmem\n\n IF (this%size_in_bytes < 0) &\n DBCSR_ABORT(\"acc_devmem_cptr: not allocated\")\n res = this%cptr\n END FUNCTION acc_devmem_cptr\n#endif\n\n SUBROUTINE acc_devmem_set_cptr(this, pointee, size_in_bytes, lb_in_bytes)\n !! Allocates a given devmem.\n\n TYPE(acc_devmem_type), INTENT(INOUT) :: this\n TYPE(acc_devmem_type), INTENT(IN) :: pointee\n INTEGER, INTENT(IN) :: size_in_bytes, lb_in_bytes\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(pointee)\n MARK_USED(size_in_bytes)\n MARK_USED(lb_in_bytes)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n\n INTEGER :: istat\n\n IF (this%size_in_bytes >= 0) &\n DBCSR_ABORT(\"acc_devmem_set_cptr: already allocated\")\n IF (pointee%size_in_bytes < 0 .AND. size_in_bytes > 0) &\n DBCSR_ABORT(\"acc_devmem_set_cptr: out-of-bounds\")\n IF (size_in_bytes > 0) THEN\n IF ((lb_in_bytes + size_in_bytes) .GT. pointee%size_in_bytes) &\n DBCSR_ABORT(\"acc_devmem_set_cptr: out-of-bounds\")\n this%size_in_bytes = size_in_bytes\n istat = acc_interface_dev_mem_set_ptr(this%cptr, pointee%cptr, INT(lb_in_bytes, KIND=C_SIZE_T))\n ELSE\n ! Empty buffers\n this%size_in_bytes = pointee%size_in_bytes\n this%cptr = pointee%cptr\n END IF\n#endif\n END SUBROUTINE acc_devmem_set_cptr\n\n SUBROUTINE acc_devmem_info(free, total)\n INTEGER(KIND=int_8), INTENT(OUT) :: free, total\n#if defined(__DBCSR_ACC)\n INTEGER(KIND=C_INT) :: istat\n INTEGER(KIND=C_SIZE_T) :: free_c, total_c\n\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_dev_mem_info(free_c, total_c)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_info: failed\")\n free = free_c\n total = total_c\n#else\n free = 0\n total = 0\n#endif\n END SUBROUTINE acc_devmem_info\n\n SUBROUTINE acc_devmem_allocate_bytes(this, size_in_bytes)\n !! Allocates a given devmem.\n\n TYPE(acc_devmem_type), INTENT(INOUT) :: this\n INTEGER, INTENT(IN) :: size_in_bytes\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(size_in_bytes)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n\n IF (this%size_in_bytes >= 0) &\n DBCSR_ABORT(\"acc_devmem_alloc: already allocated\")\n this%size_in_bytes = size_in_bytes\n IF (size_in_bytes > 0) THEN\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_dev_mem_alloc(this%cptr, INT(this%size_in_bytes, KIND=C_SIZE_T))\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_allocate: failed\")\n END IF\n#endif\n END SUBROUTINE acc_devmem_allocate_bytes\n\n SUBROUTINE acc_devmem_deallocate(this)\n !! Deallocates a given devmem.\n\n TYPE(acc_devmem_type), INTENT(INOUT) :: this\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n\n IF (this%size_in_bytes < 0) &\n DBCSR_ABORT(\"acc_devmem_deallocate: double free\")\n IF (this%size_in_bytes > 0) THEN\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_dev_mem_dealloc(this%cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_deallocate: failed\")\n END IF\n\n this%size_in_bytes = -1\n\n#endif\n END SUBROUTINE acc_devmem_deallocate\n\n SUBROUTINE acc_devmem_setzero_bytes(this, first_byte, last_byte, stream)\n !! Sets entries in given devmem to zero, asynchronously.\n\n TYPE(acc_devmem_type), INTENT(INOUT) :: this\n INTEGER, INTENT(IN), OPTIONAL :: first_byte, last_byte\n !! begin of region to zero, defaults to 1 if not given.\n !! end of region to zero, defaults to size if not given.\n TYPE(acc_stream_type), INTENT(IN) :: stream\n !! stream on which zeroing is performed.\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(first_byte)\n MARK_USED(last_byte)\n MARK_USED(stream)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n INTEGER(KIND=C_SIZE_T) :: length, offset\n TYPE(C_PTR) :: stream_cptr\n\n offset = 0\n length = this%size_in_bytes\n IF (PRESENT(first_byte)) THEN\n offset = first_byte - 1\n length = length - offset\n END IF\n IF (PRESENT(last_byte)) THEN\n length = last_byte\n IF (PRESENT(first_byte)) length = length - first_byte\n END IF\n\n stream_cptr = acc_stream_cptr(stream)\n\n IF (length > 0) THEN\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_memzero(this%cptr, offset, length, stream_cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_setzero: failed\")\n END IF\n#endif\n END SUBROUTINE acc_devmem_setzero_bytes\n\n#if defined (__DBCSR_ACC)\n SUBROUTINE host2dev_raw(this, hostmem_cptr, n_bytes, stream)\n !! Helper-routine performing actuall host2dev transfers.\n\n TYPE(acc_devmem_type), INTENT(IN) :: this\n TYPE(C_PTR) :: hostmem_cptr\n INTEGER, INTENT(IN) :: n_bytes\n TYPE(acc_stream_type), INTENT(IN) :: stream\n !! stream used for memory transfer\n\n INTEGER :: istat\n TYPE(C_PTR) :: stream_cptr\n\n IF (this%size_in_bytes < n_bytes) &\n DBCSR_ABORT(\"acc_devmem_host2dev: devmem too small\")\n\n stream_cptr = acc_stream_cptr(stream)\n IF (n_bytes > 0) THEN\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_memcpy_h2d(hostmem_cptr, this%cptr, &\n INT(n_bytes, KIND=C_SIZE_T), stream_cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_host2dev: failed\")\n END IF\n END SUBROUTINE host2dev_raw\n#endif\n\n#if defined (__DBCSR_ACC)\n SUBROUTINE dev2host_raw(this, hostmem_cptr, n_bytes, stream)\n !! Helper-routine performing actual dev2host transfers.\n\n TYPE(acc_devmem_type), INTENT(IN) :: this\n TYPE(C_PTR) :: hostmem_cptr\n INTEGER, INTENT(IN) :: n_bytes\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n INTEGER :: istat\n TYPE(C_PTR) :: stream_cptr\n\n IF (.NOT. acc_devmem_allocated(this)) RETURN\n\n IF (this%size_in_bytes < n_bytes) &\n DBCSR_ABORT(\"acc_devmem_dev2host: this too small\")\n\n stream_cptr = acc_stream_cptr(stream)\n\n IF (n_bytes > 0) THEN\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_memcpy_d2h(this%cptr, hostmem_cptr, &\n INT(n_bytes, KIND=C_SIZE_T), stream_cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_devmem_dev2host: failed\")\n END IF\n END SUBROUTINE dev2host_raw\n#endif\n\n #:set instances = [ ('i4', 'int_4_size', 'INTEGER(kind=int_4)'), &\n ('i8', 'int_8_size', 'INTEGER(kind=int_8)'), &\n ('r4', 'real_4_size', 'REAL(kind=real_4)'), &\n ('r8', 'real_8_size', 'REAL(kind=real_8)'), &\n ('c4', '2*real_4_size', 'COMPLEX(kind=real_4)'), &\n ('c8', '2*real_8_size', 'COMPLEX(kind=real_8)') ]\n\n #:for nametype, size, type in instances\n\n SUBROUTINE host2dev_${nametype}$_1D(this, hostmem, stream)\n !! Transfers 1D fortran-array from host to GPU devmem.\n\n TYPE(acc_devmem_type), INTENT(IN) :: this\n ${type}$, DIMENSION(:), POINTER :: hostmem\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(hostmem)\n MARK_USED(stream)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n CALL host2dev_raw(this, C_LOC(hostmem(1)), ${size}$*SIZE(hostmem), stream)\n#endif\n END SUBROUTINE host2dev_${nametype}$_1D\n\n SUBROUTINE host2dev_${nametype}$_2D(this, hostmem, stream)\n !! Transfers 2D fortran-array from host to GPU devmem.\n\n TYPE(acc_devmem_type), INTENT(IN) :: this\n ${type}$, DIMENSION(:, :), POINTER :: hostmem\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(hostmem)\n MARK_USED(stream)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n CALL host2dev_raw(this, C_LOC(hostmem(1, 1)), ${size}$*SIZE(hostmem), stream)\n#endif\n END SUBROUTINE host2dev_${nametype}$_2D\n\n SUBROUTINE dev2host_${nametype}$_1D(this, hostmem, stream)\n !! Transfers GPU devmem to 1D fortran-array.\n\n TYPE(acc_devmem_type), INTENT(IN) :: this\n ${type}$, DIMENSION(:), POINTER :: hostmem\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(hostmem)\n MARK_USED(stream)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n CALL dev2host_raw(this, C_LOC(hostmem(1)), ${size}$*SIZE(hostmem), stream)\n#endif\n END SUBROUTINE dev2host_${nametype}$_1D\n\n #:endfor\n\nEND MODULE dbcsr_acc_devmem\n" }, { "path": "src/acc/dbcsr_acc_event.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_acc_event\n !! Accelerator support\n#if defined (__DBCSR_ACC)\n USE ISO_C_BINDING, ONLY: C_INT, C_NULL_PTR, C_PTR, C_ASSOCIATED, C_NULL_PTR\n#endif\n USE dbcsr_acc_stream, ONLY: acc_stream_cptr, &\n acc_stream_type\n USE dbcsr_acc_device, ONLY: dbcsr_acc_set_active_device\n USE dbcsr_config, ONLY: get_accdrv_active_device_id\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_acc_event'\n\n PUBLIC :: acc_event_type\n PUBLIC :: acc_event_create, acc_event_destroy\n PUBLIC :: acc_event_record, acc_event_query\n PUBLIC :: acc_stream_wait_event, acc_event_synchronize\n\n TYPE acc_event_type\n PRIVATE\n#if defined (__DBCSR_ACC)\n TYPE(C_PTR) :: cptr = C_NULL_PTR\n#else\n INTEGER :: dummy = 1\n#endif\n END TYPE acc_event_type\n\n#if defined (__DBCSR_ACC)\n\n INTERFACE\n FUNCTION acc_interface_event_create(event_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_event_create\")\n IMPORT\n TYPE(C_PTR) :: event_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_event_create\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_event_destroy(event_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_event_destroy\")\n IMPORT\n TYPE(C_PTR), VALUE :: event_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_event_destroy\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_event_query(event_ptr, has_occurred) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_event_query\")\n IMPORT\n TYPE(C_PTR), VALUE :: event_ptr\n INTEGER(KIND=C_INT) :: has_occurred, istat\n\n END FUNCTION acc_interface_event_query\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_event_record(event_ptr, stream_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_event_record\")\n IMPORT\n TYPE(C_PTR), VALUE :: event_ptr, stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_event_record\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_stream_wait_event(stream_ptr, event_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_stream_wait_event\")\n IMPORT\n TYPE(C_PTR), VALUE :: stream_ptr, event_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_stream_wait_event\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_event_synchronize(event_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_event_synchronize\")\n IMPORT\n TYPE(C_PTR), VALUE :: event_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_event_synchronize\n END INTERFACE\n#endif\n\nCONTAINS\n\n SUBROUTINE acc_stream_wait_event(stream, event)\n !! Fortran-wrapper for making a GPU compute stream wait on an event.\n !! Because of fortran circular dependency restriction this can not go into acc_stream.F\n\n TYPE(acc_stream_type), INTENT(IN) :: stream\n TYPE(acc_event_type), INTENT(IN) :: event\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(stream)\n MARK_USED(event)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n TYPE(C_PTR) :: stream_cptr\n\n stream_cptr = acc_stream_cptr(stream)\n IF (.NOT. C_ASSOCIATED(event%cptr)) &\n DBCSR_ABORT(\"acc_stream_wait_event: event not allocated\")\n IF (.NOT. C_ASSOCIATED(stream_cptr)) &\n DBCSR_ABORT(\"acc_stream_wait_event: stream not allocated\")\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_stream_wait_event(stream_cptr, event%cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_stream_wait_event failed\")\n#endif\n END SUBROUTINE acc_stream_wait_event\n\n SUBROUTINE acc_event_record(this, stream)\n !! Fortran-wrapper for recording a CUDA/HIP event.\n\n TYPE(acc_event_type), INTENT(IN) :: this\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(stream)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n TYPE(C_PTR) :: stream_cptr\n\n stream_cptr = acc_stream_cptr(stream)\n IF (.NOT. C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_event_record: event not allocated\")\n IF (.NOT. C_ASSOCIATED(stream_cptr)) &\n DBCSR_ABORT(\"acc_event_record: stream not allocated\")\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_event_record(this%cptr, stream_cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_event_record failed\")\n#endif\n END SUBROUTINE acc_event_record\n\n SUBROUTINE acc_event_create(this)\n !! Fortran-wrapper for creation of a CUDA/HIP event.\n\n TYPE(acc_event_type), &\n INTENT(INOUT) :: this\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n\n IF (C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_event_create: already allocated\")\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_event_create(this%cptr)\n IF (istat /= 0 .OR. .NOT. C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_event_create: failed\")\n#endif\n END SUBROUTINE acc_event_create\n\n SUBROUTINE acc_event_destroy(this)\n !! Fortran-wrapper for destruction of a CUDA/HIP event.\n\n TYPE(acc_event_type), &\n INTENT(INOUT) :: this\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n IF (.NOT. C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_event_destroy: event not allocated\")\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_event_destroy(this%cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_event_destroy failed\")\n this%cptr = C_NULL_PTR\n#endif\n END SUBROUTINE acc_event_destroy\n\n FUNCTION acc_event_query(this) RESULT(res)\n !! Fortran-wrapper for querying a CUDA/HIP event's status.\n\n TYPE(acc_event_type), INTENT(IN) :: this\n LOGICAL :: res\n !! true if event has occurred, false otherwise\n\n#if ! defined (__DBCSR_ACC)\n res = .FALSE.\n MARK_USED(this)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat, has_occurred\n IF (.NOT. C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_event_query: event not allocated\")\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_event_query(this%cptr, has_occurred)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_event_query failed\")\n res = (has_occurred == 1)\n#endif\n END FUNCTION acc_event_query\n\n SUBROUTINE acc_event_synchronize(this)\n !! Fortran-wrapper for waiting for the completion of a HIP/CUDA event.\n\n TYPE(acc_event_type), INTENT(IN) :: this\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n IF (.NOT. C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_event_synchronize: event not allocated\")\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_event_synchronize(this%cptr)\n IF (istat < 0) &\n DBCSR_ABORT(\"acc_event_synchronize failed\")\n#endif\n END SUBROUTINE acc_event_synchronize\n\nEND MODULE dbcsr_acc_event\n" }, { "path": "src/acc/dbcsr_acc_hostmem.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_acc_hostmem\n !! Accelerator support\n#if defined (__DBCSR_ACC)\n USE ISO_C_BINDING, ONLY: C_INT, C_SIZE_T, C_PTR, C_LOC, C_F_POINTER\n#endif\n USE dbcsr_kinds, ONLY: int_4, &\n int_4_size, &\n int_8, &\n int_8_size, &\n real_4, &\n real_4_size, &\n real_8, &\n real_8_size\n USE dbcsr_acc_stream, ONLY: acc_stream_associated, &\n acc_stream_cptr, &\n acc_stream_type\n USE dbcsr_acc_device, ONLY: dbcsr_acc_set_active_device\n USE dbcsr_config, ONLY: get_accdrv_active_device_id\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_acc_hostmem'\n\n LOGICAL, PARAMETER :: careful_mod = .TRUE.\n\n PUBLIC :: acc_hostmem_allocate, acc_hostmem_deallocate\n\n INTERFACE acc_hostmem_allocate\n MODULE PROCEDURE acc_hostmem_alloc_i4, acc_hostmem_alloc_i8\n MODULE PROCEDURE acc_hostmem_alloc_r4, acc_hostmem_alloc_r8\n MODULE PROCEDURE acc_hostmem_alloc_c4, acc_hostmem_alloc_c8\n MODULE PROCEDURE acc_hostmem_alloc_i4_2D, acc_hostmem_alloc_i8_2D\n MODULE PROCEDURE acc_hostmem_alloc_r4_2D, acc_hostmem_alloc_r8_2D\n MODULE PROCEDURE acc_hostmem_alloc_c4_2D, acc_hostmem_alloc_c8_2D\n END INTERFACE\n\n INTERFACE acc_hostmem_deallocate\n MODULE PROCEDURE acc_hostmem_dealloc_i4, acc_hostmem_dealloc_i8\n MODULE PROCEDURE acc_hostmem_dealloc_r4, acc_hostmem_dealloc_r8\n MODULE PROCEDURE acc_hostmem_dealloc_c4, acc_hostmem_dealloc_c8\n MODULE PROCEDURE acc_hostmem_dealloc_i4_2D, acc_hostmem_dealloc_i8_2D\n MODULE PROCEDURE acc_hostmem_dealloc_r4_2D, acc_hostmem_dealloc_r8_2D\n MODULE PROCEDURE acc_hostmem_dealloc_c4_2D, acc_hostmem_dealloc_c8_2D\n END INTERFACE\n\n#if defined (__DBCSR_ACC)\n\n INTERFACE\n FUNCTION acc_interface_host_mem_alloc(mem, n, stream_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_host_mem_allocate\")\n IMPORT\n TYPE(C_PTR) :: mem\n INTEGER(KIND=C_SIZE_T), INTENT(IN), &\n VALUE :: n\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_host_mem_alloc\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_host_mem_dealloc(mem, stream_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_host_mem_deallocate\")\n IMPORT\n TYPE(C_PTR), VALUE :: mem, stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_host_mem_dealloc\n END INTERFACE\n\n#endif\n\nCONTAINS\n\n#if defined (__DBCSR_ACC)\n SUBROUTINE acc_hostmem_alloc_raw(host_mem_c_ptr, n_bytes, stream)\n !! Helper-routine performing allocation of host-pinned GPU memory.\n\n TYPE(C_PTR), INTENT(OUT) :: host_mem_c_ptr\n !! pointer to allocated memory\n INTEGER(KIND=C_SIZE_T), INTENT(IN) :: n_bytes\n !! number of bytes to allocate\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n INTEGER :: istat\n TYPE(C_PTR) :: stream_cptr\n\n IF (.NOT. acc_stream_associated(stream)) &\n DBCSR_ABORT(\"acc_hostmem_alloc_raw: stream not associated\")\n\n stream_cptr = acc_stream_cptr(stream)\n\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_host_mem_alloc(host_mem_c_ptr, n_bytes, stream_cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_hostmem_alloc_raw: Could not allocate host pinned memory\")\n END SUBROUTINE acc_hostmem_alloc_raw\n#endif\n\n#if defined (__DBCSR_ACC)\n SUBROUTINE acc_hostmem_dealloc_raw(host_mem_c_ptr, stream)\n TYPE(C_PTR), INTENT(IN) :: host_mem_c_ptr\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n INTEGER :: istat\n TYPE(C_PTR) :: stream_cptr\n\n! Workaround for a segmentation fault on ORNL's Summit\n!$OMP CRITICAL\n\n IF (.NOT. acc_stream_associated(stream)) &\n DBCSR_ABORT(\"acc_hostmem_dealloc_raw: stream not associated\")\n\n stream_cptr = acc_stream_cptr(stream)\n\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_host_mem_dealloc(host_mem_c_ptr, stream_cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_hostmem_dealloc_raw: Could not deallocate host pinned memory\")\n!$OMP END CRITICAL\n END SUBROUTINE acc_hostmem_dealloc_raw\n#endif\n\n #:set instances = [ &\n ('i4', 'int_4_size', 'INTEGER(kind=int_4)'), &\n ('i8', 'int_8_size', 'INTEGER(kind=int_8)'), &\n ('r4', 'real_4_size', 'REAL(kind=real_4)'), &\n ('r8', 'real_8_size', 'REAL(kind=real_8)'), &\n ('c4', '2*real_4_size', 'COMPLEX(kind=real_4)'), &\n ('c8', '2*real_8_size', 'COMPLEX(kind=real_8)') ]\n\n #:for nametype, size, type in instances\n\n SUBROUTINE acc_hostmem_alloc_${nametype}$ (host_mem, n, stream)\n !! Allocates 1D fortan-array as GPU host-pinned memory.\n\n ${type}$, DIMENSION(:), POINTER :: host_mem\n !! pointer to array\n INTEGER, INTENT(IN) :: n\n !! size given in terms of item-count (not bytes!)\n TYPE(acc_stream_type), INTENT(IN) :: stream\n#if defined (__DBCSR_ACC)\n TYPE(C_PTR) :: host_mem_c_ptr\n INTEGER(KIND=C_SIZE_T) :: n_bytes\n\n n_bytes = INT(${size}$, KIND=C_SIZE_T)* &\n INT(MAX(1, n), KIND=C_SIZE_T)\n CALL acc_hostmem_alloc_raw(host_mem_c_ptr, n_bytes, stream)\n CALL C_F_POINTER(host_mem_c_ptr, host_mem, (/MAX(1, n)/))\n#else\n MARK_USED(host_mem)\n MARK_USED(n)\n MARK_USED(stream)\n DBCSR_ABORT(\"acc_hostmem_alloc_${nametype}$: ACC not compiled in.\")\n#endif\n END SUBROUTINE acc_hostmem_alloc_${nametype}$\n\n SUBROUTINE acc_hostmem_alloc_${nametype}$_2D(host_mem, n1, n2, stream)\n !! Allocates 2D fortan-array as GPU host-pinned memory.\n\n ${type}$, DIMENSION(:, :), POINTER :: host_mem\n !! pointer to array\n INTEGER, INTENT(IN) :: n1, n2\n !! sizes given in terms of item-count (not bytes!)\n !! sizes given in terms of item-count (not bytes!)\n TYPE(acc_stream_type), INTENT(IN) :: stream\n#if defined (__DBCSR_ACC)\n TYPE(C_PTR) :: host_mem_c_ptr\n INTEGER(KIND=C_SIZE_T) :: n_bytes\n\n n_bytes = INT(${size}$, KIND=C_SIZE_T)* &\n INT(MAX(1, n1), KIND=C_SIZE_T)*INT(MAX(1, n2), KIND=C_SIZE_T)\n CALL acc_hostmem_alloc_raw(host_mem_c_ptr, n_bytes, stream)\n CALL C_F_POINTER(host_mem_c_ptr, host_mem, (/MAX(1, n1), MAX(1, n2)/))\n#else\n MARK_USED(host_mem)\n MARK_USED(n1)\n MARK_USED(n2)\n MARK_USED(stream)\n DBCSR_ABORT(\"acc_hostmem_alloc_${nametype}$_2D: ACC not compiled in.\")\n#endif\n END SUBROUTINE acc_hostmem_alloc_${nametype}$_2D\n\n SUBROUTINE acc_hostmem_dealloc_${nametype}$ (host_mem, stream)\n !! Deallocates a 1D fortan-array, which is GPU host-pinned memory.\n\n ${type}$, DIMENSION(:), POINTER :: host_mem\n !! pointer to array\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n IF (SIZE(host_mem) == 0) RETURN\n#if defined (__DBCSR_ACC)\n CALL acc_hostmem_dealloc_raw(C_LOC(host_mem(1)), stream)\n#else\n MARK_USED(host_mem)\n MARK_USED(stream)\n DBCSR_ABORT(\"acc_hostmem_dealloc_${nametype}$: ACC not compiled in.\")\n#endif\n END SUBROUTINE acc_hostmem_dealloc_${nametype}$\n\n SUBROUTINE acc_hostmem_dealloc_${nametype}$_2D(host_mem, stream)\n !! Deallocates a 2D fortan-array, which is GPU host-pinned memory.\n\n ${type}$, DIMENSION(:, :), POINTER :: host_mem\n !! pointer to array\n TYPE(acc_stream_type), INTENT(IN) :: stream\n\n IF (SIZE(host_mem) == 0) RETURN\n#if defined (__DBCSR_ACC)\n CALL acc_hostmem_dealloc_raw(C_LOC(host_mem(1, 1)), stream)\n#else\n MARK_USED(host_mem)\n MARK_USED(stream)\n DBCSR_ABORT(\"acc_hostmem_dealloc_${nametype}$: ACC not compiled in.\")\n#endif\n END SUBROUTINE acc_hostmem_dealloc_${nametype}$_2D\n\n #:endfor\n\nEND MODULE dbcsr_acc_hostmem\n" }, { "path": "src/acc/dbcsr_acc_init.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_acc_init\n !! Accelerator support\n#if defined (__DBCSR_ACC)\n USE ISO_C_BINDING, ONLY: C_INT, C_CHAR, C_PTR, C_NULL_PTR, C_NULL_CHAR, C_ASSOCIATED\n#endif\n USE dbcsr_acc_device, ONLY: dbcsr_acc_set_active_device\n USE dbcsr_config, ONLY: get_accdrv_active_device_id\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_acc_init'\n\n PUBLIC :: acc_init, acc_finalize\n\n#if defined (__DBCSR_ACC)\n\n INTERFACE\n FUNCTION acc_interface_drv_init() RESULT(istat) BIND(C, name=\"c_dbcsr_acc_init\")\n IMPORT\n INTEGER(KIND=C_INT) :: istat\n END FUNCTION acc_interface_drv_init\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_drv_finalize() RESULT(istat) BIND(C, name=\"c_dbcsr_acc_finalize\")\n IMPORT\n INTEGER(KIND=C_INT) :: istat\n END FUNCTION acc_interface_drv_finalize\n END INTERFACE\n\n#endif\nCONTAINS\n\n SUBROUTINE acc_init()\n\n#if ! defined (__DBCSR_ACC)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n ! Set active device first\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n!$OMP PARALLEL DEFAULT(NONE) PRIVATE(istat)\n!$OMP MASTER\n istat = acc_interface_drv_init()\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_init failed\")\n!$OMP END MASTER\n!$OMP END PARALLEL\n#endif\n END SUBROUTINE acc_init\n\n SUBROUTINE acc_finalize()\n\n#if ! defined (__DBCSR_ACC)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n!$OMP PARALLEL DEFAULT(NONE) PRIVATE(istat)\n!$OMP MASTER\n istat = acc_interface_drv_finalize()\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_finalize failed\")\n!$OMP END MASTER\n!$OMP END PARALLEL\n#endif\n END SUBROUTINE acc_finalize\n\nEND MODULE dbcsr_acc_init\n" }, { "path": "src/acc/dbcsr_acc_stream.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_acc_stream\n !! Accelerator support\n#if defined (__DBCSR_ACC)\n USE ISO_C_BINDING, ONLY: C_INT, C_CHAR, C_PTR, C_NULL_PTR, C_NULL_CHAR, C_ASSOCIATED\n#endif\n USE dbcsr_acc_device, ONLY: dbcsr_acc_set_active_device\n USE dbcsr_config, ONLY: get_accdrv_active_device_id\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_acc_stream'\n\n PUBLIC :: acc_stream_type\n PUBLIC :: acc_stream_create, acc_stream_destroy\n PUBLIC :: acc_stream_synchronize\n PUBLIC :: acc_stream_priority_range\n PUBLIC :: acc_stream_equal, acc_stream_associated\n PUBLIC :: acc_stream_cptr\n\n TYPE acc_stream_type\n PRIVATE\n#if defined (__DBCSR_ACC)\n TYPE(C_PTR) :: cptr = C_NULL_PTR\n#else\n INTEGER :: dummy = 1\n#endif\n END TYPE acc_stream_type\n\n#if defined (__DBCSR_ACC)\n\n INTERFACE\n FUNCTION acc_interface_stream_create(stream_ptr, name, priority) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_stream_create\")\n IMPORT\n TYPE(C_PTR) :: stream_ptr\n CHARACTER(KIND=C_CHAR), DIMENSION(*) :: name\n INTEGER(KIND=C_INT), VALUE :: priority\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_stream_create\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_stream_priority_range(least, greatest) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_stream_priority_range\")\n IMPORT\n INTEGER(KIND=C_INT) :: least, greatest, istat\n\n END FUNCTION acc_interface_stream_priority_range\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_stream_destroy(stream_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_stream_destroy\")\n IMPORT\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_stream_destroy\n END INTERFACE\n\n INTERFACE\n FUNCTION acc_interface_stream_sync(stream_ptr) RESULT(istat) BIND(C, name=\"c_dbcsr_acc_stream_sync\")\n IMPORT\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_stream_sync\n END INTERFACE\n\n#endif\nCONTAINS\n\n#if ! defined (__DBCSR_ACC)\n FUNCTION acc_stream_cptr(this) RESULT(res)\n !! Returns C-pointer of given stream.\n\n INTEGER, INTENT(in) :: this\n !! stream ID\n LOGICAL :: res\n !! false (accelerator support is not enabled)\n\n MARK_USED(this)\n res = .FALSE.\n END FUNCTION acc_stream_cptr\n\n#else\n FUNCTION acc_stream_cptr(this) RESULT(res)\n !! Returns C-pointer of given stream.\n\n TYPE(acc_stream_type), INTENT(in) :: this\n !! stream ID\n TYPE(C_PTR) :: res\n !! C-pointer of a given stream\n\n res = this%cptr\n END FUNCTION acc_stream_cptr\n#endif\n\n SUBROUTINE acc_stream_create(this, name, priority)\n !! Fortran-wrapper for creation of a CUDA/HIP stream.\n\n TYPE(acc_stream_type), INTENT(OUT) :: this\n CHARACTER(LEN=*), INTENT(IN) :: name\n INTEGER, INTENT(IN), OPTIONAL :: priority\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(name)\n MARK_USED(priority)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat, my_priority\n\n my_priority = -1\n IF (PRESENT(priority)) &\n my_priority = priority\n\n IF (C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_stream_create: stream already allocated\")\n\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_stream_create(this%cptr, name//c_null_char, my_priority)\n\n IF (istat /= 0 .OR. .NOT. C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_stream_create failed\")\n#endif\n END SUBROUTINE acc_stream_create\n\n SUBROUTINE acc_stream_destroy(this)\n !! Fortran-wrapper for destruction of a CUDA/HIP stream.\n\n TYPE(acc_stream_type), &\n INTENT(INOUT) :: this\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n IF (.NOT. C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_stream_destroy: stream not allocated\")\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_stream_destroy(this%cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_stream_destroy failed\")\n this%cptr = C_NULL_PTR\n#endif\n END SUBROUTINE acc_stream_destroy\n\n SUBROUTINE acc_stream_synchronize(this)\n !! Fortran-wrapper for waiting for CUDA/HIP stream tasks to complete.\n\n TYPE(acc_stream_type), &\n INTENT(IN) :: this\n\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n IF (.NOT. C_ASSOCIATED(this%cptr)) &\n DBCSR_ABORT(\"acc_stream_synchronize: stream not allocated\")\n CALL dbcsr_acc_set_active_device(get_accdrv_active_device_id())\n istat = acc_interface_stream_sync(this%cptr)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_stream_synchronize failed\")\n#endif\n END SUBROUTINE acc_stream_synchronize\n\n SUBROUTINE acc_stream_priority_range(least, greatest)\n !! Fortran-wrapper for getting CUDA/HIP streams' priority range.\n\n INTEGER, INTENT(OUT) :: least, greatest\n\n#if ! defined (__DBCSR_ACC)\n least = -1; greatest = -1 ! assign intent-out arguments to silence compiler warnings\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n INTEGER :: istat\n istat = acc_interface_stream_priority_range(least, greatest)\n IF (istat /= 0) &\n DBCSR_ABORT(\"acc_stream_priority_range failed\")\n#endif\n END SUBROUTINE acc_stream_priority_range\n\n FUNCTION acc_stream_equal(this, other) RESULT(res)\n !! Checks if two streams are equal\n\n TYPE(acc_stream_type), INTENT(IN) :: this, other\n LOGICAL :: res\n !! true if equal, false otherwise\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n MARK_USED(other)\n res = .TRUE.\n#else\n res = C_ASSOCIATED(this%cptr, other%cptr)\n#endif\n END FUNCTION acc_stream_equal\n\n FUNCTION acc_stream_associated(this) RESULT(res)\n !! Checks if a streams is associated\n\n TYPE(acc_stream_type), INTENT(IN) :: this\n LOGICAL :: res\n !! true if associated, false otherwise\n#if ! defined (__DBCSR_ACC)\n MARK_USED(this)\n res = .FALSE.\n#else\n res = C_ASSOCIATED(this%cptr)\n#endif\n END FUNCTION acc_stream_associated\n\nEND MODULE dbcsr_acc_stream\n" }, { "path": "src/acc/dbcsr_acc_timings.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_acc_timings\n !! Accelerator support\n USE ISO_C_BINDING, ONLY: C_INT, C_PTR, C_F_POINTER\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_acc_timings'\n\nCONTAINS\n\n SUBROUTINE f_dbcsr_timeset(routineN, routineN_len, handle) BIND(C, name=\"c_dbcsr_timeset\")\n\n TYPE(C_PTR), INTENT(IN) :: routineN\n INTEGER(KIND=C_INT), INTENT(IN) :: routineN_len\n INTEGER(KIND=C_INT), INTENT(OUT) :: handle\n\n CHARACTER, POINTER :: a(:)\n CHARACTER(len=routineN_len) :: routineName\n INTEGER :: i\n\n CALL C_F_POINTER(routineN, a, [routineN_len])\n\n ! Convert character array \"a\" to scalar character string\n ! \"routineName\"\n DO i = 1, routineN_len\n routineName(i:i) = a(i)\n END DO\n\n CALL timeset(routineName, handle)\n END SUBROUTINE f_dbcsr_timeset\n\n SUBROUTINE f_dbcsr_timestop(handle) BIND(C, name=\"c_dbcsr_timestop\")\n\n INTEGER(KIND=C_INT), INTENT(IN) :: handle\n\n CALL timestop(handle)\n END SUBROUTINE f_dbcsr_timestop\n\nEND MODULE dbcsr_acc_timings\n" }, { "path": "src/acc/hip/PACKAGE", "content": "{\n\"description\": \"HIP backend for accelerator API\",\n\"archive\":\"libdbcsr\",\n\"requires\": [\"../../base\"]\n}\n" }, { "path": "src/acc/hip/acc_hip.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \"acc_hip.h\"\n\n#if !defined(__HIP_PLATFORM_NVCC__)\nhipError_t hipHostAlloc(void** ptr, size_t size, unsigned int flags) { return hipHostMalloc(ptr, size, flags); }\n\nhipError_t hipFreeHost(void* ptr) { return hipHostFree(ptr); }\n#endif\n\nhiprtcResult hiprtcGetLowLevelCode(hiprtcProgram prog, char* code) { return hiprtcGetCode(prog, code); }\n\nhiprtcResult hiprtcGetLowLevelCodeSize(hiprtcProgram prog, size_t* codeSizeRet) { return hiprtcGetCodeSize(prog, codeSizeRet); }\n\nhipError_t hipEventCreate(hipEvent_t* event, unsigned flags) { return hipEventCreateWithFlags(event, flags); }\n\nhipError_t hipStreamCreate(hipStream_t* stream, unsigned int flags) { return hipStreamCreateWithFlags(stream, flags); }\n\nhipError_t hipLaunchJITKernel(hipFunction_t f, unsigned int gridDimX, unsigned int gridDimY, unsigned int gridDimZ,\n unsigned int blockDimX, unsigned int blockDimY, unsigned int blockDimZ, unsigned int sharedMemBytes, hipStream_t stream,\n void** kernelParams, void** extra) {\n return hipModuleLaunchKernel(\n f, gridDimX, gridDimY, gridDimZ, blockDimX, blockDimY, blockDimZ, sharedMemBytes, stream, kernelParams, extra);\n}\n\nhipblasStatus_t ACC_BLAS_STATUS_SUCCESS = HIPBLAS_STATUS_SUCCESS;\nhipblasOperation_t ACC_BLAS_OP_N = HIPBLAS_OP_N;\nhipblasOperation_t ACC_BLAS_OP_T = HIPBLAS_OP_T;\nhiprtcResult ACC_RTC_SUCCESS = HIPRTC_SUCCESS;\n" }, { "path": "src/acc/hip/acc_hip.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef ACC_HIP_H\n#define ACC_HIP_H\n\n#include \n#include \n#if __has_include()\n# include \n#else\n# include \n#endif\n#include \n#include \n\n#define ACC(x) hip##x\n#define ACC_DRV(x) ACC(x)\n#define ACC_BLAS(x) hipblas##x\n#define ACC_RTC(x) hiprtc##x\n#define BACKEND \"HIP\"\n\n/* Macro for HIP error handling\n * Wrap calls to HIP API\n */\n#define HIP_API_CALL(func, args) \\\n do { \\\n hipError_t result = ACC(func) args; \\\n if (result != hipSuccess) { \\\n printf(\"\\nHIP error: %s failed with error %s (%s::%d)\\n\", #func, hipGetErrorName(result), __FILE__, __LINE__); \\\n exit(1); \\\n } \\\n } while (0)\n\n/* HIP does not differentiate between \"runtime\" API and \"driver\" API */\n#define ACC_API_CALL(func, args) HIP_API_CALL(func, args)\n#define ACC_DRV_CALL(func, args) HIP_API_CALL(func, args)\n\n/* Wrap calls to HIPRTC API */\n#define ACC_RTC_CALL(func, args) \\\n do { \\\n hiprtcResult result = ACC_RTC(func) args; \\\n if (result != HIPRTC_SUCCESS) { \\\n printf(\"\\nHIPRTC ERROR: %s failed with error %s (%s::%d)\\n\", #func, hiprtcGetErrorString(result), __FILE__, __LINE__); \\\n exit(1); \\\n } \\\n } while (0)\n\n/* Wrap calls to HIPBLAS API */\n#define ACC_BLAS_CALL(func, args) \\\n do { \\\n hipblasStatus_t result = ACC_BLAS(func) args; \\\n if (result != HIPBLAS_STATUS_SUCCESS) { \\\n const char* error_name = \"HIPBLAS_ERRROR\"; \\\n if (result == HIPBLAS_STATUS_NOT_INITIALIZED) { \\\n error_name = \"HIPBLAS_STATUS_NOT_INITIALIZED \"; \\\n } \\\n else if (result == HIPBLAS_STATUS_ALLOC_FAILED) { \\\n error_name = \"HIPBLAS_STATUS_ALLOC_FAILED \"; \\\n } \\\n else if (result == HIPBLAS_STATUS_INVALID_VALUE) { \\\n error_name = \"HIPBLAS_STATUS_INVALID_VALUE \"; \\\n } \\\n else if (result == HIPBLAS_STATUS_MAPPING_ERROR) { \\\n error_name = \"HIPBLAS_STATUS_MAPPING_ERROR \"; \\\n } \\\n else if (result == HIPBLAS_STATUS_EXECUTION_FAILED) { \\\n error_name = \"HIPBLAS_STATUS_EXECUTION_FAILED \"; \\\n } \\\n else if (result == HIPBLAS_STATUS_INTERNAL_ERROR) { \\\n error_name = \"HIPBLAS_STATUS_INTERNAL_ERROR \"; \\\n } \\\n else if (result == HIPBLAS_STATUS_NOT_SUPPORTED) { \\\n error_name = \"HIPBLAS_STATUS_NOT_SUPPORTED \"; \\\n } \\\n else if (result == HIPBLAS_STATUS_ARCH_MISMATCH) { \\\n error_name = \"HIPBLAS_STATUS_ARCH_MISMATCH \"; \\\n } \\\n else if (result == HIPBLAS_STATUS_HANDLE_IS_NULLPTR) { \\\n error_name = \"HIPBLAS_STATUS_HANDLE_IS_NULLPTR \"; \\\n } \\\n printf(\"\\nHIPBLAS ERROR: %s failed with error %s\\n\", #func, error_name); \\\n exit(1); \\\n } \\\n } while (0)\n\nextern hipError_t hipHostAlloc(void** ptr, size_t size, unsigned int flags);\nextern hipError_t hipFreeHost(void* ptr);\nextern hiprtcResult hiprtcGetLowLevelCode(hiprtcProgram prog, char* code);\nextern hiprtcResult hiprtcGetLowLevelCodeSize(hiprtcProgram prog, size_t* codeSizeRet);\nextern hipError_t hipEventCreate(hipEvent_t* event, unsigned flags);\nextern hipError_t hipStreamCreate(hipStream_t* stream, unsigned int flags);\nextern hipError_t hipLaunchJITKernel(hipFunction_t f, unsigned int gridDimX, unsigned int gridDimY, unsigned int gridDimZ,\n unsigned int blockDimX, unsigned int blockDimY, unsigned int blockDimZ, unsigned int sharedMemBytes, hipStream_t stream,\n void** kernelParams, void** extra);\n\n/* HIP API: types\n * In the HIP API, there is no difference between runtime API and driver API\n * we therefore remap what the Driver API types would look like back to runtime API\n */\nusing hipfunction = hipFunction_t;\nusing hipstream = hipStream_t;\nusing hipevent = hipEvent_t;\nusing hipmodule = hipModule_t;\nusing hipdevice = hipDevice_t;\nusing hipDeviceProp = hipDeviceProp_t;\nusing hipcontext = hipCtx_t;\n\n/* HIPBLAS status and operations */\nextern hipblasStatus_t ACC_BLAS_STATUS_SUCCESS;\nextern hipblasOperation_t ACC_BLAS_OP_N;\nextern hipblasOperation_t ACC_BLAS_OP_T;\n\n/* HIPRTC error status */\nextern hiprtcResult ACC_RTC_SUCCESS;\n\n\n#endif /*ACC_HIP_H*/\n" }, { "path": "src/acc/hip/dbcsr_hip_profiling.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! Copyright(C) 2021 Advanced Micro Devices, Inc. All rights reserved. !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_hip_profiling\n\n INTERFACE\n SUBROUTINE roctxMarkA(message) BIND(c, name=\"roctxMarkA\")\n USE ISO_C_BINDING, ONLY: C_CHAR\n IMPLICIT NONE\n CHARACTER(C_CHAR) :: message(*)\n END SUBROUTINE roctxMarkA\n\n FUNCTION roctxRangePushA(message) BIND(c, name=\"roctxRangePushA\")\n USE ISO_C_BINDING, ONLY: C_INT, &\n C_CHAR\n IMPLICIT NONE\n INTEGER(C_INT) :: roctxRangePushA\n CHARACTER(C_CHAR) :: message(*)\n END FUNCTION roctxRangePushA\n\n SUBROUTINE roctxRangePop() BIND(c, name=\"roctxRangePop\")\n IMPLICIT NONE\n END SUBROUTINE roctxRangePop\n END INTERFACE\n\nEND MODULE dbcsr_hip_profiling\n\n" }, { "path": "src/acc/libsmm_acc/.gitignore", "content": "# Files generated at build stage\nparameters.h\nsmm_acc_kernels.h\n*.so\n.with_gpu\n" }, { "path": "src/acc/libsmm_acc/CMakeLists.txt", "content": "set(SMM_ACC_KERNELS\n kernels/smm_acc_common.h\n kernels/smm_acc_dnt_largeDB1.h\n kernels/smm_acc_dnt_largeDB2.h\n kernels/smm_acc_dnt_medium.h\n kernels/smm_acc_dnt_small.h\n kernels/smm_acc_dnt_tiny.h\n kernels/smm_acc_transpose.h)\n\nadd_custom_target(\n parameters ALL\n COMMAND\n ${Python_EXECUTABLE} ${CMAKE_CURRENT_SOURCE_DIR}/generate_parameters.py\n --gpu_version=${WITH_GPU} --base_dir=${CMAKE_CURRENT_SOURCE_DIR}/parameters\n DEPENDS generate_parameters.py parameters/parameters_${WITH_GPU_PARAMS}.json\n BYPRODUCTS parameters.h\n COMMENT \"libsmm_acc: generating parameters for GPU ${WITH_GPU_PARAMS}\")\n\nadd_custom_target(\n smm_acc_kernels ALL\n COMMAND ${Python_EXECUTABLE} ${CMAKE_CURRENT_SOURCE_DIR}/generate_kernels.py\n ${CMAKE_CURRENT_SOURCE_DIR}/kernels\n DEPENDS generate_kernels.py ${SMM_ACC_KERNELS}\n BYPRODUCTS smm_acc_kernels.h\n COMMENT \"libsmm_acc: generating kernels\")\n\nadd_dependencies(dbcsr smm_acc_kernels parameters)\ntarget_include_directories(dbcsr PRIVATE ${CMAKE_CURRENT_BINARY_DIR}\n ${CMAKE_CURRENT_SOURCE_DIR})\n\n# Note: this library is only used in some of the tests, it's just to get include\n# paths to generated header files.\nadd_library(libsmm_acc INTERFACE)\ntarget_include_directories(libsmm_acc INTERFACE ${CMAKE_CURRENT_BINARY_DIR}\n ${CMAKE_CURRENT_SOURCE_DIR})\n" }, { "path": "src/acc/libsmm_acc/PACKAGE", "content": "{\n\"description\": \"CUDA/HIP-accelerated library for small matrix multiplications\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"..\", \"../cuda\", \"../hip\", \"../cuda_hip\"]\n}\n" }, { "path": "src/acc/libsmm_acc/README.md", "content": "# GPU Accelerated Small Matrix Multiplications\n\n`libsmm_acc` is a **lib**rary for **s**mall **m**atrix-**m**atrix multiplication on a GPU-**acc**elerator. Stacks of matrix-matrix multiplication indices are passed from DBCSR to `libsmm_acc` which performs the multiplications on the GPU.\n\nFor a description of the library (some details are outdated, but this nevertheless provides a very good introduction), see Chapter 8.4 of:\n\n> WALKER, R. C., & GOETZ, A. W. (2016). [Electronic structure calculations on graphics processing units: from quantum chemistry to condensed matter physics](https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118670712).\n\n### Compilation\n\n`libsmm_acc` is compiled from within DBCSR, there is no separate compilation.\n\n## Directory Organization\n\n- [`kernels/`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/): GPU kernels (CUDA- and HIP-compatible) for matrix-matrix multiplication and Python interface to autotuning code.\n- `generate_*.py`: utility scripts for `libsmm_acc` compilation\n- `libsmm_acc*`: libsmm_acc C++ and CUDA / HIP code\n- [`parameters/`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/parameters/): contains `parameters_GPU.json` files. These are sets of matrix-matrix multiplication parameters for different (m, n, k)-triplets optimized for a given GPU card.\n- [`tune/`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/tune/): scripts for autotuning of optimal parameter sets, see [autotuning of kernel parameters](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/tune/README.md)\n\n## Matrix-matrix Multiplication Kernels and Parameters\n\nFor a given matrix-matrix multiplication **triplet** characterized by dimensions\n\n- **m**\n- **n**\n- **k**,\n\n`libsmm_acc` can run 5 different matrix-matrix multiplication **kernels**:\n\n- [tiny](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc_dnt_tiny.h)\n- [small](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc_dnt_small.h)\n- [medium](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc_dnt_medium.h)\n- [largeDB1](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc_dnt_largeDB1.h) (\"large double-buffering 1\")\n- [largeDB2](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc_dnt_largeDB2.h) (\"large double-buffering 2\")\n\nwhich take between 3 - 7 **parameters** (see figure at the top):\n\n- **threads**: number of threads per block in the execution configuration of the CUDA/HIP kernels\n- **grouping**: how many stack entries are grouped together into a CUDA/HIP thread block (if `grouping` is bigger, less blocks are launched)\n- **minblocks**: specifies the desired minimum number of resident blocks per multiprocessor\n- **tile_m**: (on the figure: **M**), `tile_m` * `tile_n` = dimensions of the result block `T`\n- **tile_n** : (on the figure: **N**)\n- **w**: input slab width (width of slab `P_A` and `P_B`)\n- **v**: output slab width (width of slab `P_C`)\n\nThe performance of the matrix-matrix multiplication kernels is highly dependent on the choice of algorithm and parameters. For this reason, `libsmm_acc` provides lists of optimal parameters for different GPU cards and different (m, n, k)-triplets.\n\n## Contributing to libsmm_acc\n\nWe expect users to contribute to the library by providing new optimized kernels and support for new GPUs.\n\n#### Autotuning procedure\n\nFollow the [autotuning procedure](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/tune/README.md)\n\n#### Adding a new kernel\n\n1. Choose a kernel `name`\n\n2. Add the kernel's code (must be able to compile by both `nvcc` and `hip`) in file `kernels/smm_acc_dnt_name.h`\n\n3. Add Python kernel class inheriting from base class `kernels/smm_acc_dnt_name.py`\n\n#### Adding support for a new GPU card\n\n1. Add the GPU's compute architecture properties to [`kernels/gpu_properties.json`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/gpu_properties.json). For more information on where to find these properties, please refer to the \"info\" field of [`kernels/gpu_properties.json`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/gpu_properties.json).\n\n2. Add the GPU to the `gpu_architectures` data structure in [`kernels/smm_acc.py`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc.py).\n\n3. Add the necessary code for setting `ARCH_NUMBER` correctly in the [`CMakeLists`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/CMakeLists.txt). Also add this GPU to the list of `SUPPORTED_CUDA_ARCHITECTURES` or `SUPPORTED_HIP_ARCHITECTURES` in the [`CMakeLists`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/CMakeLists.txt).\n\n4. Add a minimal JSON file `parameters_GPU.json`, containing:\n\n```json\n{\n}\n```\n\nthen add matrix-matrix multiplication parameters for this GPU using *autotuning*.\n" }, { "path": "src/acc/libsmm_acc/generate_kernels.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport re\nimport argparse\nfrom pathlib import Path\n\n# ===============================================================================\n# Helper variables\nseparator = (\n \"//===========================================================================\\n\"\n)\nline_in_string = \"{:<70}\\\\n\\\\\"\nvariable_declaration = (\n 'std::string {var_name} = \" \\\\n\\\\'\n)\nend_string = '\";'\ncommented_line = r\"\\s*(//|/\\*.*/*/)\"\nopen_comment = r\"\\s*/\\*\"\nclose_comment = r\".*\\*/\"\nsmm_acc_header = \"\"\"\\\n/*------------------------------------------------------------------------------------------------*\n * Copyright (C) by the DBCSR developers group - All rights reserved *\n * This file is part of the DBCSR library. *\n * *\n * For information on the license, see the LICENSE file. *\n * For further information please visit https://dbcsr.cp2k.org *\n * SPDX-License-Identifier: GPL-2.0+ *\n *------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************\n * FILE GENERATED BY SCRIPT 'generate_kernels.py' DO NOT EDIT *\n *****************************************************************************/\n\n#ifndef SMM_ACC_H\n#define SMM_ACC_H\n#include \n\"\"\"\n\n\n# ===============================================================================\ndef main(kernels_folder: Path):\n \"\"\"\n Find files corresponding to CUDA/HIP kernels and write them as strings into a\n C++ header file to be read for JIT-ing\n \"\"\"\n # Find all files containing \"smm_acc\" kernels in the \"kernel\" subfolder\n kernels_folder_files = kernels_folder.iterdir()\n kernel_files = list()\n for kfile in kernels_folder_files:\n if kfile.name.startswith(\"smm_acc_\") and kfile.suffix == \".h\":\n kernel_files.append(kfile)\n print(f\"Found {len(kernel_files)} kernel files:\")\n print(*(f\"<- {kf}\" for kf in kernel_files), sep=\"\\n\")\n\n # Read\n kernels_h = (\n dict()\n ) # key: path to kernel file (string), value: file content (list of string)\n for kernel_file in kernel_files:\n kernels_h[kernel_file] = kernel_file.read_text().splitlines()\n\n # Construct file containing the kernels as strings\n print(\"Re-write kernels as strings...\")\n file_h = smm_acc_header\n for kernel_file, kernel in kernels_h.items():\n kernel_name = kernel_file.stem # use the filename as name for the kernel\n file_h += f\"\\n{separator}{cpp_function_to_string(kernel, kernel_name)}\\n\"\n file_h += \"#endif // SMM_ACC_H\\n\"\n file_h += \"//EOF\"\n file_h += \"\\n\\n\"\n\n # Write\n file_h_path = \"smm_acc_kernels.h\"\n with open(file_h_path, \"w\") as fhandle:\n fhandle.write(file_h)\n print(f\"Wrote kernel string to file\\n-> {file_h_path}\")\n\n\n# ===============================================================================\ndef cpp_function_to_string(cpp_file, kernel_name):\n \"\"\"\n Transform a C++ function into a char array\n :param cpp_file: file content\n (list of strings, each element is a line in the original file)\n :param kernel_name: name of the kernel (string, must be usable as a C++ variable name)\n :return: string containing the kernel written as a C++ char array\n \"\"\"\n assert re.match(\n r\"^[a-zA-Z]\\w*\", kernel_name\n ), \"kernel_name must be a valid C/C++ variable name\"\n\n out = f\"{variable_declaration.format(var_name=kernel_name)}\\n\"\n in_comment = False\n for line in cpp_file:\n if not in_comment:\n # ignore comments and empty lines\n if (\n re.match(commented_line, line) is not None\n or len(line) == 0\n or '#include \"smm_acc_common.h\"' in line\n ):\n pass\n elif re.match(open_comment, line) is not None:\n in_comment = True\n else:\n out += (\n line_in_string.format(\n line.replace('\"', '\\\\\"').replace(\"\\\\\", \"\\\\\\\\\")\n )\n + \"\\n\"\n )\n elif re.match(close_comment, line): # in_comment == True\n in_comment = False\n\n return out + end_string\n\n\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(description=\"Pack CUDA/HIP kernels for JIT'ing\")\n parser.add_argument(\n \"kernels_folder\",\n metavar=\"KERNELS_FOLDER\",\n type=Path,\n nargs=\"?\",\n default=\"./kernels\",\n help=\"directory with the kernel header files. Default: %(default)s\",\n )\n\n args = parser.parse_args()\n main(args.kernels_folder)\n" }, { "path": "src/acc/libsmm_acc/generate_parameters.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport json\nimport argparse\nfrom pathlib import Path\n\nfrom kernels.smm_acc import params_dict_to_kernel, gpu_architectures\n\n\n# ===============================================================================\ndef main(gpu_version: str, base_dir: Path):\n param_fn = base_dir / f\"parameters_{gpu_version}.json\"\n\n try: # Read existing parameters\n with param_fn.open(\"r\") as fhandle:\n print(f\"GPU version: {gpu_version}\")\n all_kernels = [\n params_dict_to_kernel(**params) for params in json.load(fhandle)\n ]\n print(f\"About to process {len(all_kernels):,} kernels from file {param_fn}\")\n except: # noqa: E722\n all_kernels = []\n pass\n\n try: # Read GPU properties (warp size)\n gpu_props_fn = base_dir / \"../kernels/gpu_properties.json\"\n arch_code = gpu_architectures[param_fn.name]\n with gpu_props_fn.open(\"r\") as fhandle:\n gpu_warp_size = json.load(fhandle)[arch_code][\"Threads_/_Warp\"]\n except: # noqa: E722\n gpu_warp_size = 32\n pass\n\n print(f\"GPU warp size: {gpu_warp_size}\")\n\n # Construct output\n out = write_parameters_file(all_kernels, gpu_warp_size)\n\n # Write to c++ header-file\n file_h = \"parameters.h\"\n if all_kernels:\n print(f\"Found {len(all_kernels):,} kernels in file {param_fn}\")\n print(f\"Printing them to file {file_h}\")\n with open(file_h, \"w\") as f:\n f.write(out)\n\n\n# ===============================================================================\ndef write_parameters_file(all_pars, gpu_warp_size):\n # Header\n out = \"\"\"\\\n/*------------------------------------------------------------------------------------------------*\n * Copyright (C) by the DBCSR developers group - All rights reserved *\n * This file is part of the DBCSR library. *\n * *\n * For information on the license, see the LICENSE file. *\n * For further information please visit https://dbcsr.cp2k.org *\n * SPDX-License-Identifier: GPL-2.0+ *\n *------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************\n * FILE GENERATED BY SCRIPT 'generate_parameters.py' DO NOT EDIT *\n *****************************************************************************/\n\n#ifndef PARAMETERS_H\n#define PARAMETERS_H\n\n#include \"parameters_utils.h\"\n\n/*\n * Lookup table: given a triplet (m, n, k) describing a matrix-matrix multiplication,\n * look up its optimal kernel parameters\n *\n * Keys:\n * (m, n, k)\n *\n * Values: array of 8 integers with elements:\n * 0: mm algorithm (enum defined in libsmm_acc.h, possible values: 1, 2, 3, 4, 5)\n * 1: tile_m\n * 2: tile_n\n * 3: w\n * 4: v\n * 5: threads\n * 6: grouping\n * 7: minblocks\n *\n * Note: for the matrix matrix multiplication algorithms which take less than 8 parameters (i.e. tiny, small, medium),\n * the superfluous parameters are set to 0\n */\n\n\"\"\"\n\n # Warp size\n out += f\"extern const int warp_size = {gpu_warp_size};\\n\\n\"\n\n # Map of kernel parameters\n out += \"\"\"\\\nextern const std::unordered_map ht = {\n\"\"\"\n # Initializer list body\n print(\"Get parameters and write to file\")\n init_list_line = (\n \" {{ {{{{{m:3}, {n:3}, {k:3}}}}},\"\n + \" {{{{ {algorithm:1}, {tile_m:2}, {tile_n:2}, {w:2}, {v:2}, {threads:3}, {grouping:2}, {minblocks:2} }}}} }},\"\n + \" // perf: {perf} {source}\\n\"\n )\n for pars in all_pars:\n out += init_list_line.format(**pars.as_dict_for_parameters_h)\n\n # Footer\n out += \"\"\"\\\n};\n\n#endif\n//EOF\n\"\"\"\n\n return out\n\n\n# ===============================================================================\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(\n description=\"Generator of libsmm_acc. The Library for Small Matrix Multiplications on GPU.\",\n formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n )\n parser.add_argument(\n \"-g\",\n \"--gpu_version\",\n metavar=\"GPU_VERSION\",\n default=\"P100\",\n help=\"GPU card version, used to select the appropriate libsmm_acc parameters file. Default: %(default)s\",\n )\n parser.add_argument(\n \"-d\",\n \"--base_dir\",\n metavar=\"BASE_DIR\",\n default=\"parameters/\",\n type=Path,\n help=\"Set the base directory to look for the parameter files. Default: %(default)s\",\n )\n args = parser.parse_args()\n main(args.gpu_version, args.base_dir)\n" }, { "path": "src/acc/libsmm_acc/kernels/PACKAGE", "content": "{\n\"description\": \"Kernel templates for libsmm_acc\",\n\"archive\": \"libdbcsr\",\n\"requires\": []\n}\n" }, { "path": "src/acc/libsmm_acc/kernels/README.md", "content": "# LIBSMM_ACC Kernels\n\n## Directory Organization\n\n* [`autotuning_properties.json`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/autotuning_properties.json) Properties of the autotuning procedure, read from [DBCSR source code](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/libsmm_acc_benchmark.cpp)\n\n* [`gpu_properties.json`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/gpu_properties.json) GPU card properties\n\n* [`smm_acc_common.h`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc_common.h) Functionalities common to kernel CUDA/HIP codes\n\n* [`smm_acc_dnt_base.py`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc_dnt_base.py) Kernel base class\n\n * `smm_acc_dnt_ALGORITHM.py` Kernel class in python\n\n * `smm_acc_dnt_ALGORITHM.h` Batched Multiply Kernel CUDA/HIP code\n\n* [`smm_acc_transpose.h`](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/kernels/smm_acc_transpose.h) Transpose CUDA/HIP code\n\n## Batched Multiplication Kernels\n\nAll kernels have following signature:\n\n```\ntemplate \n\n__global__ void\n__launch_bounds__(threads, minblocks)\nsmm_acc_dnt_ALGORITHM\n(const int *__restrict__ param_stack, const int stack_size,\nconst double* __restrict__ a_data, const double* __restrict__ b_data, double* c_data);\n```\n\nAt kernel launch time, the A, B, and C matrices, as well as the product descriptors (the so-called stacks) are all located in global memory on the GPU. Each entry in the stack describes one matrix-matrix product: it contains three pointers to the blocks in the A, B, and C matrices. After the kernel has read a stack entry, it fetches the blocks in matrices A and B from global to shared memory, and updates the C matrix with the product of A and B.\n\n`libsmm_acc` provides 5 different kernels for this operation (tiny, small, medium, largeDB1, largeDB2), which are optimized for different block sizes. Please refer to the documentation inside the respective `.h` files for more details.\n" }, { "path": "src/acc/libsmm_acc/kernels/__init__.py", "content": "# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\"\"\"Manage libsmm_acc kernels: their kernel code (CUDA and HIP), their parameters, and predictive features\"\"\"\n" }, { "path": "src/acc/libsmm_acc/kernels/autotuning_properties.json", "content": "{\n \"info\": {\n \"header\": \"Autotuning characteristics\",\n \"stack_size\": \"Number of block multiplications computed in one DBCSR stack\",\n \"npar\": \"Number of parameters in one DBCSR stack entry\",\n \"sizeof_int\": \"size of an int (bytes)\",\n \"sizeof_double\": \"size of a double (bytes)\"\n },\n \"stack_size\": 16005,\n \"npars\": 3,\n \"sizeof_int\": 4,\n \"sizeof_double\": 8\n}\n" }, { "path": "src/acc/libsmm_acc/kernels/gpu_properties.json", "content": "{\n \"info\": {\n \"header\": \"Hardware-dependent constraints (GPU P100, compute capability 6.0)\",\n \"nvidia_source_url\": [\n \"https://docs.nvidia.com/cuda/cuda-occupancy-calculator/index.html\",\n \"https://devblogs.nvidia.com/inside-pascal/\",\n \"https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/tesla-product-literature/volta-architecture-whitepaper.pdf\",\n \"https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#features-and-technical-specifications\"\n ],\n \"amd_source_url\": [\n \"https://www.amd.com/en/products/professional-graphics/radeon-pro-wx-9100\",\n \"https://www.amd.com/en/products/professional-graphics/instinct-mi50\",\n\t \"https://www.amd.com/en/products/server-accelerators/instinct-mi100\",\n\t \"https://www.amd.com/en/products/server-accelerators/instinct-mi250\"\n ]\n },\n \"sm_35\": {\n \"Compute_Capability\": 3.5,\n \"SM_Version\": \"sm_35\",\n \"Threads_/_Warp\" : 32,\n \"Warps_/_Multiprocessor\": 64,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 16,\n \"Max_Thread_Block_Size\": 1024,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 49152,\n \"Max_Shared_Memory_/_Block_(bytes)\": 49152,\n \"Register_File_Size_/_Multiprocessor_(32-bit_registers)\": 65536,\n \"Max_Registers_/_Block\": 65536,\n \"Register_Allocation_Unit_Size\": 256,\n \"Register_Allocation_Granularity\": \"warp\",\n \"Max_Registers_/_Thread\": 255,\n \"Shared_Memory_Allocation_Unit_Size\": 256,\n \"Warp_Allocation_Granularity\": 4,\n \"Shared_Memory_Size_Configurations_(bytes)\": 49152,\n \"Warp_register_allocation_granularities\": 256\n },\n \"sm_37\": {\n \"Compute_Capability\": 3.7,\n \"SM_Version\": \"sm_37\",\n \"Threads_/_Warp\" : 32,\n \"Warps_/_Multiprocessor\": 64,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 16,\n \"Max_Thread_Block_Size\": 1024,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 114688,\n \"Max_Shared_Memory_/_Block_(bytes)\": 49152,\n \"Register_File_Size_/_Multiprocessor_(32-bit_registers)\": 131072,\n \"Max_Registers_/_Block\": 65536,\n \"Register_Allocation_Unit_Size\": 256,\n \"Register_Allocation_Granularity\": \"warp\",\n \"Max_Registers_/_Thread\": 255,\n \"Shared_Memory_Allocation_Unit_Size\": 256,\n \"Warp_Allocation_Granularity\": 4,\n \"Shared_Memory_Size_Configurations_(bytes)\": 114688,\n \"Warp_register_allocation_granularities\": 256\n },\n \"sm_60\": {\n \"Compute_Capability\": 6.0,\n \"SM_Version\": \"sm_60\",\n \"Threads_/_Warp\" : 32,\n \"Warps_/_Multiprocessor\": 64,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 32,\n \"Max_Thread_Block_Size\": 1024,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 65536,\n \"Max_Shared_Memory_/_Block_(bytes)\": 49152,\n \"Register_File_Size_/_Multiprocessor_(32-bit_registers)\": 65536,\n \"Max_Registers_/_Block\": 65536,\n \"Register_Allocation_Unit_Size\": 256,\n \"Register_Allocation_Granularity\": \"warp\",\n \"Max_Registers_/_Thread\": 255,\n \"Shared_Memory_Allocation_Unit_Size\": 256,\n \"Warp_Allocation_Granularity\": 2,\n \"Shared_Memory_Size_Configurations_(bytes)\": 65536,\n \"Warp_register_allocation_granularities\": 256,\n \"Shared_memory_access_latency\": 4,\n \"Global_memory_access_latency\": 500\n },\n \"sm_70\": {\n \"Compute_Capability\": 7.0,\n \"SM_Version\": \"sm_70\",\n \"Threads_/_Warp\" : 32,\n \"Warps_/_Multiprocessor\": 64,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 32,\n \"Max_Thread_Block_Size\": 1024,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 114688,\n \"Max_Shared_Memory_/_Block_(bytes)\": 49152,\n \"Register_File_Size_/_Multiprocessor_(32-bit_registers)\": 65536,\n \"Max_Registers_/_Block\": 65536,\n \"Register_Allocation_Unit_Size\": 256,\n \"Register_Allocation_Granularity\": \"warp\",\n \"Max_Registers_/_Thread\": 255,\n \"Shared_Memory_Allocation_Unit_Size\": 256,\n \"Warp_Allocation_Granularity\": 4,\n \"Shared_Memory_Size_Configurations_(bytes)\": 114688,\n \"Warp_register_allocation_granularities\": 256,\n \"Shared_memory_access_latency\": 4,\n \"Global_memory_access_latency\": 500\n },\n \"sm_80\": {\n \"Compute_Capability\": 8.0,\n \"SM_Version\": \"sm_80\",\n \"Threads_/_Warp\" : 32,\n \"Warps_/_Multiprocessor\": 64,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 32,\n \"Max_Thread_Block_Size\": 1024,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 65536,\n \"Max_Shared_Memory_/_Block_(bytes)\": 65536,\n \"Register_File_Size_/_Multiprocessor_(32-bit_registers)\": 65536,\n \"Max_Registers_/_Block\": 65536,\n \"Register_Allocation_Unit_Size\": 256,\n \"Register_Allocation_Granularity\": \"warp\",\n \"Max_Registers_/_Thread\": 255,\n \"Shared_Memory_Allocation_Unit_Size\": 128,\n \"Warp_Allocation_Granularity\": 4,\n \"Shared_Memory_Size_Configurations_(bytes)\": 114688,\n \"Warp_register_allocation_granularities\": 256,\n \"Shared_memory_access_latency\": 4,\n \"Global_memory_access_latency\": 500\n },\n \"sm_90\": {\n \"Compute_Capability\": 9.0,\n \"SM_Version\": \"sm_90\",\n \"Threads_/_Warp\" : 32,\n \"Warps_/_Multiprocessor\": 64,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 32,\n \"Max_Thread_Block_Size\": 1024,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 65536,\n \"Max_Shared_Memory_/_Block_(bytes)\": 65536,\n \"Register_File_Size_/_Multiprocessor_(32-bit_registers)\": 65536,\n \"Max_Registers_/_Block\": 65536,\n \"Register_Allocation_Unit_Size\": 256,\n \"Register_Allocation_Granularity\": \"warp\",\n \"Max_Registers_/_Thread\": 255,\n \"Shared_Memory_Allocation_Unit_Size\": 128,\n \"Warp_Allocation_Granularity\": 4,\n \"Shared_Memory_Size_Configurations_(bytes)\": 114688,\n \"Warp_register_allocation_granularities\": 256,\n \"Shared_memory_access_latency\": 4,\n \"Global_memory_access_latency\": 500\n },\n \"nvidia_lingo_to_amd\" : {\n\t\"Reference\": \"https://rocm-documentation.readthedocs.io/en/latest/Programming_Guides/HIP-terminology.html?highlight=wavefront%20size#hip-terminology-comparison-with-opencl-cuda-c-amp-and-hcc\",\n \"Thread\": \"Work_Item, (a single element of work: one element from the dispatch grid)\",\n \"Warp\": \" Wavefront (a collection of 64 work-items that execute in parallel on a single GCN processor)\",\n \"Thread_Block\": \"Workgroup (a collection of wavefronts running on the same compute unit which can synchronize and share data)\",\n \"Multiprocessor\": \"Compute_Unit\",\n \"Shared_Memory\": \"Local_Data_Share (Each compute unit has a 64 kB memory space that enables low-latency communication between work-items within a work-group, or the work-items within a wavefront; this is the local data share (LDS). This memory is configured with 32 banks, each with 512 entries of 4 bytes. The AMD GCN processors use a 64 kB local data share (LDS) memory for each compute unit; this enables 64 kB of low-latency bandwidth to the processing elements.)\"\n },\n \"gfx900\" : {\n \"GPU_Architecture\": \"Vega\",\n \"Product_Names\": [\"Radeon PRO WX 9100\"],\n \"Threads_/_Warp\" : 64,\n \"Warps_/_Multiprocessor\": 16,\n \"Threads_/_Multiprocessor\": 1024,\n \"Thread_Blocks_/_Multiprocessor\": 16,\n \"Max_Thread_Block_Size\": 1024,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 64000,\n \"Max_Shared_Memory_/_Block_(bytes)\": 64000,\n \"Compute_Units\": 64,\n \"Stream_Multiprocessors\": 4096,\n \"Memory_Size_(GB)\": 16,\n \"Memory_Interface_(bits)\": 2048\n },\n \"gfx906\" : {\n \"GPU_Architecture\": \"Vega20\",\n \"Product_Names\": [\"Instinct MI50\"],\n \"Threads_/_Warp\" : 64,\n \"Warps_/_Multiprocessor\": 16,\n \"Threads_/_Multiprocessor\": 1024,\n \"Thread_Blocks_/_Multiprocessor\": 16,\n \"Max_Thread_Block_Size\": 1024,\n \"Max_Shared_Memory_/_Block_(bytes)\": 64000,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 64000,\n \"Compute_Units\": 60,\n \"Stream_Multiprocessors\": 3840,\n \"Memory_Size_(GB)\": 16,\n \"Memory_Interface_(bits)\": 4096\n },\n \"gfx908\" : {\n \"GPU_Architecture\": \"CDNA\",\n \"Product_Names\": [\"Instinct MI100\"],\n \"Threads_/_Warp\" : 64,\n \"Warps_/_Multiprocessor\": 32,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 16,\n \"Max_Thread_Block_Size\": 1024,\n \"Max_Shared_Memory_/_Block_(bytes)\": 64000,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 64000,\n \"Compute_Units\": 120,\n \"Stream_Multiprocessors\": 7860,\n \"Memory_Size_(GB)\": 32,\n \"Memory_Interface_(bits)\": 4096\n },\n \"gfx90a\" : {\n \"GPU_Architecture\": \"CDNA2\",\n \"Product_Names\": [\"Instinct MI250\"],\n \"Threads_/_Warp\" : 64,\n \"Warps_/_Multiprocessor\": 32,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 16,\n \"Max_Thread_Block_Size\": 1024,\n \"Max_Shared_Memory_/_Block_(bytes)\": 64000,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 64000,\n \"Compute_Units\": 208,\n \"Stream_Multiprocessors\": 13312,\n \"Memory_Size_(GB)\": 128,\n \"Memory_Interface_(bits)\": 8192\n },\n \"gfx942\" : {\n \"GPU_Architecture\": \"CDNA3\",\n \"Product_Names\": [\"Instinct MI300A\"],\n \"Threads_/_Warp\" : 64,\n \"Warps_/_Multiprocessor\": 32,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 32,\n \"Max_Thread_Block_Size\": 1024,\n \"Max_Shared_Memory_/_Block_(bytes)\": 64000,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 64000,\n \"Compute_Units\": 228,\n \"Stream_Multiprocessors\": 14592,\n \"Memory_Size_(GB)\": 128,\n \"Memory_Interface_(bits)\": 8192\n },\n \"gfx950\" : {\n \"GPU_Architecture\": \"CDNA4\",\n \"Product_Names\": [\"Instinct MI350X\"],\n \"Threads_/_Warp\" : 64,\n \"Warps_/_Multiprocessor\": 32,\n \"Threads_/_Multiprocessor\": 2048,\n \"Thread_Blocks_/_Multiprocessor\": 32,\n \"Max_Thread_Block_Size\": 1024,\n \"Max_Shared_Memory_/_Block_(bytes)\": 64000,\n \"Shared_Memory_/_Multiprocessor_(bytes)\": 64000,\n \"Compute_Units\": 256,\n \"Stream_Multiprocessors\": 16384,\n \"Memory_Size_(GB)\": 288,\n \"Memory_Interface_(bits)\": 8192\n }\n}\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc.py", "content": "####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport re\n\n# ===============================================================================\n# Dictionary of available kernel algorithms\n# keys: kernel name\n# values: kernel implementation class\nfrom kernels.smm_acc_dnt_largeDB1 import Kernel_dnt_largeDB1\nfrom kernels.smm_acc_dnt_largeDB2 import Kernel_dnt_largeDB2\nfrom kernels.smm_acc_dnt_medium import Kernel_dnt_medium\nfrom kernels.smm_acc_dnt_small import Kernel_dnt_small\nfrom kernels.smm_acc_dnt_tiny import Kernel_dnt_tiny\n\nkernel_algorithm = {\n \"tiny\": Kernel_dnt_tiny,\n \"small\": Kernel_dnt_small,\n \"medium\": Kernel_dnt_medium,\n \"largeDB1\": Kernel_dnt_largeDB1,\n \"largeDB2\": Kernel_dnt_largeDB2,\n}\n\n\n# ===============================================================================\n# Dictionary of parameter types\n# keys: parameter name\n# values: type of the parameter\nparameter_types = {\n \"m\": int,\n \"n\": int,\n \"k\": int,\n \"algorithm\": str,\n \"threads\": int,\n \"grouping\": int,\n \"minblocks\": int,\n \"tile_m\": int,\n \"tile_n\": int,\n \"w\": int,\n \"v\": int,\n \"perf (Gflop/s)\": float,\n}\n\n\n# ===============================================================================\n# Dictionary of available GPU architectures.\n# keys: parameter_file\n# values: CUDA compute versions / AMD processor versions\ngpu_architectures = {\n \"parameters_K20X.json\": \"sm_35\",\n \"parameters_K40.json\": \"sm_35\",\n \"parameters_K80.json\": \"sm_37\",\n \"parameters_P100.json\": \"sm_60\",\n \"parameters_V100.json\": \"sm_70\",\n \"parameters_A100.json\": \"sm_80\",\n \"parameters_H100.json\": \"sm_90\",\n \"parameters_Vega10.json\": \"gfx900\",\n \"parameters_Mi50.json\": \"gfx906\",\n \"parameters_Mi100.json\": \"gfx908\",\n \"parameters_Mi250.json\": \"gfx90a\",\n \"parameters_Mi300.json\": \"gfx942\",\n \"parameters_Mi350.json\": \"gfx950\",\n}\n\n\n# ===============================================================================\ndef compatible_mnk(algo, m, n, k):\n \"\"\"Determine whether a given algorithm is compatible with given m, n, k values\"\"\"\n\n max_sizes = max(m * k, n * k, m * n)\n compatible = True\n if algo == \"tiny\":\n if max_sizes > 64:\n compatible = False\n elif algo == \"small\":\n if max_sizes > 128:\n compatible = False\n elif algo in [\"largeDB1\", \"largeDB2\"]:\n if max_sizes < 250:\n compatible = False\n else:\n if algo != \"medium\":\n raise AssertionError(f\"Cannot identify algorithm:{str(algo)}\")\n\n return compatible\n\n\n# ===============================================================================\ndef params_dict_to_kernel(**params):\n \"\"\"Given a dictionary of parameters, return the corresponding Kernel class instance\"\"\"\n\n # Get the 'algorithm' field\n algo = params.pop(\"algorithm\")\n\n # Get the list of fields needed to initialize a Kernel instance of this given algorithm\n kernel_init_params = kernel_algorithm[algo].launch_parameters + [\"perf\", \"source\"]\n\n # Fill in dictionary fields\n kernel_init_params_dict = dict()\n for k in kernel_init_params:\n if (\n k == \"perf\"\n and \"perf\" not in params.keys()\n and params[\"source\"] == \"predicted\"\n ):\n # the performance of predicted parameter sets is not given\n kernel_init_params_dict[\"perf\"] = None\n else:\n kernel_init_params_dict[k] = params[k]\n\n return kernel_algorithm[algo](**kernel_init_params_dict)\n\n\ndef descr_to_kernel(kernel_descr, source=\"autotuned\"):\n \"\"\"Given a kernel description from the autotuning output, return the corresponding Kernel class instance\"\"\"\n\n from ast import literal_eval\n\n re_kernel_descr = re.compile(\n r\"Kernel_dnt_(\\w+)(\\(.*\\)) , # (\\d+(?:\\.\\d+)?) GFlop/s\"\n )\n kernel_descr_matched = re_kernel_descr.search(kernel_descr)\n assert (\n kernel_descr_matched is not None\n ), f'Could not match kernel description in \"{kernel_descr}\"'\n match = kernel_descr_matched.groups()\n algo = match[0]\n m = (\n match[1]\n .replace(\"=\", \"':\")\n .replace(\", \", \", '\")\n .replace(\"(\", \"{'\")\n .replace(\")\", \"}\")\n )\n params = dict(literal_eval(m))\n params[\"perf\"] = float(match[2])\n params[\"source\"] = source\n return kernel_algorithm[algo](**params)\n\n\ndef to_string(*iterable):\n \"\"\"\n Given a (list of) m,n,k-triplet(s), return the corresponding (list of) string(s) \"mxnxk\"\n \"\"\"\n mnk_string = \"{}x{}x{}\"\n if len(iterable) == 3 and isinstance(iterable[0], int):\n m, n, k = iterable\n iterable_to_string = mnk_string.format(m, n, k)\n else:\n iterable_to_string = [mnk_string.format(m, n, k) for m, n, k in iterable]\n if len(iterable_to_string) == 1:\n iterable_to_string = iterable_to_string[0]\n return iterable_to_string\n\n\nmnk_pattern = re.compile(r\"(\\d+)x(\\d+)x(\\d+)\")\n\n\ndef to_tuple(*iterable):\n \"\"\"\n Given a (list of) string(s) \"mxnxk\", return the corresponding (list of) m,n,k-triplet(s)\n \"\"\"\n tuple_mnks = list()\n for mnk in iterable:\n m, n, k = mnk_pattern.match(mnk).groups()\n tuple_mnks.append((int(m), int(n), int(k)))\n if len(tuple_mnks) == 1:\n tuple_mnks = tuple_mnks[0]\n return tuple_mnks\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_common.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n// work around an issue where -D flags are not propagated in hiprtcCompileProgram (tested on 3.9.0)\n#if defined(__HIP_ROCclr__)\n# if !defined(__HIP)\n# define __HIP\n# endif\n#endif\n#if defined(__HIP) && !defined(__HIP_PLATFORM_NVCC__) && !defined(__HIPCC_RTC__)\n# include \n#endif\n\n#define MAX(x, y) (((x) > (y)) ? (x) : (y))\n#define MIN(x, y) (((x) < (y)) ? (x) : (y))\n\n/******************************************************************************\n * There is no native support for atomicAdd on doubles in Cuda 5.0. However *\n * the following implementation is provided in the CUDA C Programing guide. *\n ******************************************************************************/\n#if defined(__CUDA)\n# if (__CUDACC_VER_MAJOR__ < 8) || (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ < 600))\nstatic __device__ double atomicAdd(double* address, double val) {\n unsigned long long int* address_as_ull = (unsigned long long int*)address;\n unsigned long long int old = *address_as_ull, assumed;\n do {\n assumed = old;\n old = atomicCAS(address_as_ull, assumed, __double_as_longlong(val + __longlong_as_double(assumed)));\n } while (assumed != old);\n return __longlong_as_double(old);\n}\n# endif\n#endif\n\n/******************************************************************************\n * A simple __ldg replacement for older cuda devices. *\n ******************************************************************************/\n#if defined(__CUDA)\n# if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ < 350)\n# define __ldg(x) (*(x))\n# endif\n#endif\n\n/******************************************************************************\n * syncthreads macro *\n ******************************************************************************/\n// clang-format off\n#if (defined(__HIP) && not defined(__HIP_PLATFORM_NVCC__)) || (defined(__CUDA) && ((__CUDACC_VER_MAJOR__ >= 8) || (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 600))))\n# define syncthreads(x) __syncthreads(x)\n#endif\n// clang-format on\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_base.py", "content": "# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\n# ===============================================================================\n# Computing helpers\n\n\ndef round_up_to_nearest_multiple(x, step):\n \"\"\"This should work for integers or numpy arrays of integers\"\"\"\n return ((x + step - 1) // step) * step\n\n\ndef round_down_to_nearest_multiple(x, step):\n import numpy as np\n\n result = np.where(x % step == 0, x, x - x % step).astype(float)\n if result.size == 1:\n result = result.item() # extract single element of numpy array\n return result\n\n\n# ===============================================================================\nclass Kernel:\n \"\"\"\n Base class for libsmm_acc's kernels\n \"\"\"\n\n def __repr__(self):\n return f\"<{self.name}>\"\n\n def can_handle(self, m, n, k):\n return self.m == m and self.n == n and self.k == k\n\n @property\n def include(self):\n return f\"smm_acc_dnt_{self.algorithm}.h\"\n\n @property\n def name(self):\n return f\"smm_acc_dnt_{self.algorithm}_{'_'.join([str(self.__dict__[k]) for k in self.launch_parameters])}\"\n\n @property\n def autotuned(self):\n return True if self.source == \"autotuned\" else False\n\n @property\n def as_dict(self):\n return dict(algorithm=self.algorithm, **self.__dict__)\n\n @property\n def as_dict_for_parameters_json(self):\n \"\"\"\n Return the kernel as a dictionary in such a way that it is convenient to write in a JSON file and parameters\n always appear in the same order\n \"\"\"\n # Add common fields\n fields = [\n \"m\",\n \"n\",\n \"k\",\n \"tile_m\",\n \"tile_n\",\n \"w\",\n \"v\",\n \"threads\",\n \"grouping\",\n \"minblocks\",\n \"algorithm\",\n ]\n d = dict()\n for f in fields:\n if f in self.as_dict.keys():\n d[f] = self.as_dict[f]\n\n # Only add the performance if it was autotuned. If it was predicted, we only have a value scaled in (0,1)\n if self.as_dict[\"source\"] == \"autotuned\":\n d[\"perf\"] = self.as_dict[\"perf\"]\n\n # Add the source of this parameter set (autotuned or predicted)\n d[\"source\"] = self.as_dict[\"source\"]\n\n return d\n\n @property\n def as_dict_for_parameters_h(self):\n \"\"\"\n Return the kernel as a dictionary in such a way that it is convenient to write into the parameters.h file and\n parameters always appear in the same order\n \"\"\"\n # Add common fields\n fields = [\n \"m\",\n \"n\",\n \"k\",\n \"tile_m\",\n \"tile_n\",\n \"w\",\n \"v\",\n \"threads\",\n \"grouping\",\n \"minblocks\",\n \"perf\",\n \"source\",\n ]\n d = dict()\n for f in fields:\n d[f] = self.as_dict[f] if f in self.as_dict.keys() else 0\n\n # Add algorithm and source\n d[\"algorithm\"] = self.algorithm_num\n d[\"source\"] = \"(predicted)\" if not self.autotuned else \"\"\n return d\n\n def launcher_code(self, compiler):\n \"\"\"\n Compiler: either \"nvcc\" or \"hipcc\": determines the C++ dialect to use for kernel launching: either CUDA or HIP\n \"\"\"\n\n if compiler == \"nvcc\":\n stream_type = \"cudaStream_t\"\n # The syntax for kernel launching is different in CUDA and HIP\n kern_func = (\n \"kern_func<<<\"\n \" ((stack_size + %(grouping)d - 1) / %(grouping)d), %(threads)d, shared_size, stream\"\n \" >>>(\"\n ) % self.__dict__\n else:\n stream_type = \"hipStream_t\"\n kern_func = (\n \"hipLaunchKernelGGL(\"\n \"kern_func, (stack_size + %(grouping)d - 1) / %(grouping)d, %(threads)d, shared_size, stream, \"\n ) % self.__dict__\n\n return f\"\"\"\\\nint launch_{self.name}(const int *param_stack, int stack_size, {stream_type} stream, int m_max, int n_max, int k_max, const double *a_data, const double *b_data, double *c_data) {{\n int shared_size = 0;\n // {str(self.__dict__)}\n typedef void (*kernel)(const int*, int, const double*, const double*, double*);\n static kernel kern_func = {self.func_signature}\n {kern_func}param_stack, stack_size, a_data, b_data, c_data);\n return 0;\n}}\n\"\"\" # noqa: E501\n\n @property\n def func_signature(self):\n raise NotImplementedError(\"func_signature must be implemented in subclass\")\n\n @staticmethod\n def promising_parameters(m, n, k, gpu, autotuning):\n raise NotImplementedError(\n \"promising_parameters must be implemented in subclass\"\n )\n\n @staticmethod\n def baseline(m, n, k, gpu, autotuning):\n \"\"\"Compute a baseline parameter set, whose performance can be compared against\"\"\"\n raise NotImplementedError(\"baseline must be implemented in subclass\")\n\n @classmethod\n def parameter_set_distance(cls, par_set1, par_set2):\n \"\"\"\n Compute a distance-score between two parameter sets.\n The lower the score, the closer the two parameter sets are\n par_set1, par_set2 are parameter set dictionaries of the form\n {m, n, k, algorithm, minblocks, grouping, threads, tile_m, tile_n, w, v}\n \"\"\"\n # Check that ('m', 'n', 'k') are the same\n assert (\n par_set1[\"m\"] == par_set2[\"m\"]\n ), \"The two parameter sets have different 'm'-parameters: {} and {}\".format(\n par_set1[\"m\"], par_set2[\"m\"]\n )\n assert (\n par_set1[\"n\"] == par_set2[\"n\"]\n ), \"The two parameter sets have different 'n'-parameters: {} and {}\".format(\n par_set1[\"n\"], par_set2[\"n\"]\n )\n assert (\n par_set1[\"k\"] == par_set2[\"k\"]\n ), \"The two parameter sets have different 'k'-parameters: {} and {}\".format(\n par_set1[\"k\"], par_set2[\"k\"]\n )\n\n # Compute distance in number of threads\n score = abs(par_set1[\"threads\"] - par_set2[\"threads\"]) / 32\n par_entries = [\n p for p in cls.launch_parameters if p not in (\"m\", \"n\", \"k\", \"threads\")\n ]\n\n # Compute distance in other parameters\n for par in par_entries:\n score += abs(par_set1[par] - par_set2[par])\n\n return score\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_largeDB1.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************/\n/* Authors: Peter Messmer , */\n/* Nikolay Markovskiy */\n/* Ole Schuett */\n/*****************************************************************************/\n\n#include \"smm_acc_common.h\"\n\n\nnamespace ns_smm_acc_dnt_largeDB1 {\n/****************************************************************************/\n__device__ static inline void load_gmem_into_smem(\n const double* __restrict__ from, double* dest, const int length, const int threads) {\n if (length < threads) { /* are there enough threads to load in one step? */\n if (threadIdx.x < length) dest[threadIdx.x] = __ldg(&from[threadIdx.x]);\n }\n else {\n for (int i = threadIdx.x; i < length; i += threads) dest[i] = __ldg(&from[i]);\n }\n}\n\n\n/****************************************************************************/\n__device__ static inline void load_gmem_into_regs(\n const double* __restrict__ from, double* dest, const int length, const int threads) {\n const int NR = (length + threads - 1) / threads;\n\n if (length < threads) { /* are there enough threads to load in one step? */\n if (threadIdx.x < length) dest[0] = __ldg(&from[threadIdx.x]);\n }\n else {\n int i = threadIdx.x;\n for (int ri = 0; ri < NR; ri++) { /* loop with fixed bounds */\n if (i < length) dest[ri] = __ldg(&from[i]);\n i += threads;\n }\n }\n}\n\n\n/****************************************************************************/\n__device__ static inline void load_regs_into_smem(double* from, double* dest, const int length, const int threads) {\n const int NR = (length + threads - 1) / threads;\n\n if (length < threads) { /* are there enough threads to load in one step? */\n if (threadIdx.x < length) dest[threadIdx.x] = from[0];\n }\n else {\n int i = threadIdx.x;\n for (int ri = 0; ri < NR; ri++) { /* loop with fixed bounds */\n if (i < length) dest[i] = from[ri];\n i += threads;\n }\n }\n}\n\n\n/****************************************************************************/\n__device__ static inline void multiply(\n double* buff_a, double* buff_b, double* buff_c, const int w, const int m, const int n, const int M, const int N) {\n /* There might be more threads than needed for the calculation.\n * Only the first cmax*rmax threads participate in the calculation.\n */\n const int cmax = (n + N - 1) / N; /* max tile-column */\n const int rmax = (m + M - 1) / M; /* max tile-row */\n const int c = threadIdx.x / rmax; /* this thread's tile-column */\n const int r = threadIdx.x - c * rmax; /* this thread's tile-row */\n\n if (c < cmax && r < rmax) /* is this thread participating? */\n for (int l = 0; l < w; l++)\n for (int i = 0; i < N; i++)\n for (int j = 0; j < M; j++) buff_c[M * i + j] += buff_a[l * m + M * r + j] * buff_b[l * n + N * c + i];\n}\n\n\n/****************************************************************************/\n__device__ static inline void store_results_into_smem(\n double* from, double* dest, const int t, const int v, const int m, const int n, const int M, const int N) {\n const int rmax = (m + M - 1) / M; /* max tile-row */\n const int c = threadIdx.x / rmax; /* this thread's tile-column */\n const int r = threadIdx.x - c * rmax; /* this thread's tile-row */\n\n int ctmp = c * N - t;\n if (ctmp >= -(N - 1) && ctmp < v)\n for (int i = 0; i < N; i++)\n if (ctmp + i >= 0 && ctmp + i < v)\n for (int j = 0; j < M; j++)\n if (M * r + j < m) {\n dest[(ctmp + i) * m + M * r + j] = from[M * i + j];\n from[M * i + j] = 0.0; /* reset result tile */\n }\n}\n\n} // namespace ns_smm_acc_dnt_largeDB1\n\n/****************************************************************************/\n/*\n * Execution configuration:\n * gridDim.x = (stack_size + (grouping-1))/grouping\n * blockIdx.x = {0, ..., gridDim.x-1}\n * blockDim.x = threads\n * threadIdx.x = {0, ..., threads-1}\n\n * Execute sparse matrix-matrix multiplication C += A*B\n * according to a stack parameter list, decomposed into mutliple block\n * multiplications c_block += a_block * b_block\n * c_block, dimension (m x n)\n * a_block, dimension (m x k)\n * b_block, dimension (k x n)\n\n * Template parameters\n * --- m, n, k: triplet of integers characterising the block multiplication dimensions\n * --- M, N: dimensions of the tile T (submatrix of c_block) to compute by one thread\n * --- w: matrices a_block and b_block are processed (i.e. copied from global memory to shared memory) in slabs of width 'w'\n * --- v: matrix c_block is written back from registers to smem in slabs of width 'v'\n * --- threads: number of CUDA threads (in HIP linguo, \"work items\") this kernel is run with\n * --- grouping: number of stack parameter entries to process per thread block\n * --- minblocks: the desired minimum number of resident blocks (in HIP linguo, \"workgroup\") per multiprocessor (in HIP linguo, \"compute units\") (used in __launch_bounds__)\n\n * Function arguments\n * --- param_stack: parameter stack array (pointers to global memory):\n * array of stack entries (index triplets), indicating which elements of\n * a_data, b_data to multiply and to which element of c_data to add them to\n * --- stack_size: number of entries (3 integer triplets) in param_stack,\n * corresponds to the number of block-matrix multiplications to run in total\n * --- a_data, b_data, c_data (pointers to global memory):\n * arrays containing the values of matrices A, B, C\n\n * Algorithm specificities:\n * 'DB' stands for double-buffering\n * In order to limit shared memory utilization (indeed, large shared memory\n * utilization can limit the number of concurrent thread blocks launched on one\n * streaming multiprocessor), a_block and b_block are copied to shared memory in\n * slabs P_a, P_b instead of all at once.\n * For coalesced writes: slabs of C (P_c with width 'v') are put in shared memory\n * and only then added to the C in global memory using atomic compare-and-swap\n */\ntemplate\n__global__ __launch_bounds__(threads, minblocks) void smm_acc_dnt_largeDB1(\n const int* param_stack, const int stack_size, const double* a_data, const double* b_data, double* c_data) {\n using namespace ns_smm_acc_dnt_largeDB1;\n\n /* Number of parameters per stack entry in parameter stack */\n const int npar = 3;\n\n /* nrun: number of runs: number of stack entries to process in this thread */\n const int nrun = (((blockIdx.x + 1) * grouping) > stack_size) ? stack_size % grouping : grouping;\n\n /* Registers to store input slabs during double buffering\n * If there are too few thread, each thread has to store\n * multiple elements of the input slabs in its registers.\n * slab P_a has dimensions (m x w)\n * slab P_b has dimensions (w x n)\n * registers are thread-local, so we divide the amount of memory needed to store\n * the slabs by the number of threads to get the amount of memory that THIS thread needs */\n const int mya_size = (w * m + threads - 1) / threads;\n const int myb_size = (w * n + threads - 1) / threads;\n const int buff_tmp = MAX((w - 1) * m + ((m + M - 1) / M) * M, m * w + (w - 1) * n + ((n + N - 1) / N) * N);\n /* v x m = number of elements in P_c */\n const int buff_size = MAX(buff_tmp, v * m);\n\n /* Registers to buffer/store input slabs P_a, P_b during double-buffering */\n double mya[mya_size];\n double myb[myb_size];\n\n /* Registers to store the partial result of the tile T of c_block that this thread will compute */\n double myc[M * N];\n\n /* Arrays in shared memory\n * buff: shared memory buffer containing the elements of P_c to be written from regs to smem in slabs */\n __shared__ double buff[buff_size];\n\n /* param_stack_s: shared memory buffer containing the stack entries this thread should process\n * number of stack entries in param_stack_s = grouping,\n * number of integers per stack entry: 3 */\n __shared__ int param_stack_s[npar * grouping];\n\n double* buff_l = buff; /* pointer to the beginning of a_block in buffer */\n double* buff_r = &(buff[m * w]); /* pointer to the beginning of b_block in buffer */\n\n /* Set the partial sum (tile T) to zero */\n for (int i = 0; i < M * N; i++) myc[i] = 0.0;\n\n /* Load and pack stack data for current block from global memory into smem\n * Get parameter stack entries from index \"psp\" to \"psp + (nrun-1)*npar + 2\"\n * Each triplet indicates the beginning of a submatrix to multiply */\n int psp = blockIdx.x * npar * grouping;\n#pragma unroll 3\n for (int i = threadIdx.x; i < nrun; i += threads) {\n // param_stack is 1-based, convert to 0-based here\n param_stack_s[i * npar] = __ldg(¶m_stack[psp + i * npar]) - 1; /* value = index in a_data */\n param_stack_s[i * npar + 1] = __ldg(¶m_stack[psp + i * npar + 1]) - 1; /* value = index in b_data */\n param_stack_s[i * npar + 2] = __ldg(¶m_stack[psp + i * npar + 2]) - 1; /* value = index in c_data */\n }\n\n /* In each run, we process one stack entry from param_stack_s */\n for (int run = 0; run < nrun; run++) {\n psp = run * npar;\n\n syncthreads();\n\n /* Index in a_data, b_data and c_data arrays\n * indicating where to fetch resp. write back matrix elements for this run\n * srcA, B, C corresponding to the starting indices (i.e. offsets) of block submatrices to multiply */\n int srcA = param_stack_s[psp];\n int srcB = param_stack_s[psp + 1];\n\n /* Start off double buffering by loading the first\n * input slab directly from global into shared memory\n */\n load_gmem_into_smem(&a_data[srcA], buff_l, m * w, threads);\n load_gmem_into_smem(&b_data[srcB], buff_r, n * w, threads);\n\n /* Actual double buffering loop: */\n for (int t = 0; t < (k / w - 1) * w; t += w) {\n syncthreads();\n /* load next input slab from global memory into registers\n * increment block submatrices offset to next input slab\n */\n srcA += m * w;\n srcB += n * w;\n load_gmem_into_regs(&a_data[srcA], mya, m * w, threads);\n load_gmem_into_regs(&b_data[srcB], myb, n * w, threads);\n /* multiply previous slab, which is stored in shared memory,\n * and accumulate the results in the registers myc\n */\n multiply(buff_l, buff_r, myc, w, m, n, M, N);\n /* wait for multiplication to be done before overwriting smem buffers in next step */\n syncthreads();\n /* copy next slab from registers to shared memory */\n load_regs_into_smem(mya, buff_l, m * w, threads);\n load_regs_into_smem(myb, buff_r, n * w, threads);\n }\n\n syncthreads();\n\n /* If the input slab witdh w is not a divisor of k,\n * a smaller tail-slab of width wa has to be process\n */\n const int wa = k - (k / w) * w;\n if (wa != 0) { /* is there a tail-slab? */\n /* load tail-slab into registers */\n srcA += m * w;\n srcB += n * w;\n load_gmem_into_regs(&a_data[srcA], mya, m * wa, threads);\n load_gmem_into_regs(&b_data[srcB], myb, n * wa, threads);\n }\n\n /* multiply last regular slab, which the loop left in shared memory */\n multiply(buff_l, buff_r, myc, w, m, n, M, N);\n syncthreads();\n\n if (wa != 0) { /* is there a tail-slab? */\n /* copy tail-slab from register into shared mem */\n load_regs_into_smem(mya, buff_l, m * wa, threads);\n load_regs_into_smem(myb, buff_r, n * wa, threads);\n syncthreads();\n /* multiply the tail-slab */\n multiply(buff_l, buff_r, myc, wa, m, n, M, N);\n syncthreads();\n }\n\n\n /* multiplication for this run done\n * do we have to flush the result tile?\n */\n if (run == nrun - 1 || param_stack_s[psp + 2] != param_stack_s[psp + 2 + npar]) {\n int srcC = param_stack_s[psp + 2];\n\n syncthreads();\n\n /* results are written in output-slabs of width v */\n for (int t = 0; t < (n / v) * v; t += v) {\n /* copy output slab from registers to shared memory */\n store_results_into_smem(myc, buff, t, v, m, n, M, N);\n syncthreads();\n /* Add our results to the accumulator in global memory */\n for (int i = threadIdx.x; i < m * v; i += threads) atomicAdd(&c_data[srcC + i], buff[i]);\n srcC += m * v;\n syncthreads();\n }\n\n /* If the output slab witdh v is not a divisor of n,\n * a smaller tail-slab of width va has to be process\n */\n const int va = n - (n / v) * v;\n if (va != 0) { /* is there a tail-slab? */\n int t = (n / v) * v;\n store_results_into_smem(myc, buff, t, va, m, n, M, N);\n syncthreads();\n for (int i = threadIdx.x; i < m * va; i += threads) atomicAdd(&c_data[srcC + i], buff[i]);\n syncthreads();\n }\n }\n }\n}\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_largeDB1.py", "content": "# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nfrom kernels.smm_acc_dnt_base import Kernel\n\n\nclass Kernel_dnt_largeDB1(Kernel):\n \"\"\"Kernel 'large double-buffering' 1\"\"\"\n\n algorithm = \"largeDB1\"\n algorithm_num = 1\n launch_parameters = [\n \"m\",\n \"n\",\n \"k\",\n \"tile_m\",\n \"tile_n\",\n \"w\",\n \"v\",\n \"threads\",\n \"grouping\",\n \"minblocks\",\n ]\n\n def __init__(\n self, m, n, k, threads, tile_m, tile_n, w, v, grouping, minblocks, perf, source\n ):\n self.m = m\n self.n = n\n self.k = k\n self.tile_m = tile_m\n self.tile_n = tile_n\n self.w = w\n self.v = v\n self.threads = threads\n self.grouping = grouping\n self.minblocks = minblocks\n self.perf = perf\n self.source = source\n assert self.threads * self.minblocks <= 2048\n min_threads = ((self.m + self.tile_m - 1) // self.tile_m) * (\n (self.n + self.tile_n - 1) // self.tile_n\n )\n assert min_threads <= self.threads\n assert self.tile_m <= self.v\n assert self.tile_n <= self.w\n\n @property\n def func_signature(self):\n return (\n \"smm_acc_dnt_largeDB1\"\n + \"< {m}, {n}, {k}, {tile_m}, {tile_n}, {w}, {v}, {threads}, {grouping}, {minblocks} >;\\n\".format(\n **self.__dict__\n )\n )\n\n @staticmethod\n def promising_parameters(\n m,\n n,\n k,\n gpu,\n autotuning,\n threads=None,\n grouping=None,\n minblocks=None,\n tile_m=None,\n tile_n=None,\n w=None,\n v=None,\n ):\n \"\"\"\n Given a certain (m,n,k)-triplet, GPU properties and autotuning properties, return a list of all possible\n kernel parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n params = []\n grouping = 16\n\n for minblocks_ in (1, 2, 4, 8, 12) if minblocks is None else [minblocks]:\n # for exhaustive search, it should be: range(1, gpu[\"Thread_Blocks_/_Multiprocessor\"] + 1):\n # but heuristically reduce the search space\n for threads_ in (\n range(\n gpu[\"Threads_/_Warp\"],\n gpu[\"Max_Thread_Block_Size\"] + 1,\n gpu[\"Threads_/_Warp\"],\n )\n if threads is None\n else [threads]\n ):\n if threads_ * minblocks_ > gpu[\"Threads_/_Multiprocessor\"]:\n continue\n\n for tm in range(1, min(12, m + 1)) if tile_m is None else [tile_m]:\n for tn in range(1, min(12, n + 1)) if tile_n is None else [tile_n]:\n if tm * tn > 49:\n continue # heuristic: performance decreases for very large tiles\n\n # Number of tiled columns, rows\n cmax = (n + tn - 1) // tn\n rmax = (m + tm - 1) // tm\n\n # Minimum number of threads required to have one thread per tile,\n # i.e., cover the result matrix\n min_threads = cmax * rmax\n if threads_ < min_threads:\n continue\n if min_threads < (threads_ - 32):\n continue # heuristic: too many threads unused during calculation\n\n for w_ in range(4, (k + 1) // 2, 2) if w is None else [w]:\n # heuristic: even numbers yield better performance\n if w_ < tn:\n continue # invalid: input slap too small\n if 2 * w_ > k:\n continue # heuristic: do at least one double-buffering step\n\n for v_ in range(2, n + 1, 2) if v is None else [v]:\n # heuristic: even numbers yield better performance\n\n if v_ < tm:\n continue # invalid: output slab too small\n\n # Number of registers\n n_regs = (\n tm * tn\n + (w_ * m + threads_ - 1) // threads_\n + (w_ * n + threads_ - 1) // threads_\n )\n if n_regs * threads_ * minblocks_ > 15000:\n continue # heuristic: too many registers used\n\n # Max work (\"operations\") which can be run concurrently\n max_concurrent_work = max(\n grouping, m * w_, w_ * n, m * v_, cmax * rmax\n )\n if threads_ > round_up_to_nearest_multiple(\n max_concurrent_work, gpu[\"Threads_/_Warp\"]\n ):\n continue # heuristics: too much concurrency harms performance\n\n # Shared memory buffer size\n buf_sz = max(\n (w_ - 1) * m + rmax * tm,\n m * w_ + (w_ - 1) * n + cmax * tn,\n v_ * m,\n )\n smem_tot = (\n buf_sz * autotuning[\"sizeof_double\"]\n + autotuning[\"npars\"]\n * grouping\n * autotuning[\"sizeof_int\"]\n )\n if smem_tot > gpu[\"Max_Shared_Memory_/_Block_(bytes)\"]:\n continue # invalid: uses too much shared memory\n if (\n smem_tot * minblocks_\n > gpu[\"Shared_Memory_/_Multiprocessor_(bytes)\"]\n ):\n continue # invalid: uses too much shared memory\n\n params.append(\n {\n \"m\": m,\n \"n\": n,\n \"k\": k,\n \"tile_m\": tm,\n \"tile_n\": tn,\n \"w\": w_,\n \"v\": v_,\n \"threads\": threads_,\n \"grouping\": grouping,\n \"minblocks\": minblocks_,\n }\n )\n return params\n\n @staticmethod\n def baseline(m, n, k, gpu, autotuning):\n \"\"\"\n Given an (m, n, k)-triplet and GPu and autotuning properties, return a set of parameters corresponding to a\n baseline (\"educated guess\") of the kernel's optimal parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n grouping = 16\n minblk = 2\n tm = 2\n tn = 2\n cmax = (n + tn - 1) // tn\n rmax = (m + tm - 1) // tm\n min_threads = cmax * rmax\n w = 8\n v = 8\n\n while True:\n base = {\n \"threads\": round_up_to_nearest_multiple(min_threads, 32),\n \"grouping\": grouping,\n \"minblocks\": minblk,\n \"tile_m\": tn,\n \"tile_n\": tn,\n \"w\": w,\n \"v\": v,\n }\n if (\n len(\n Kernel_dnt_largeDB1.promising_parameters(\n m, n, k, gpu, autotuning, **base\n )\n )\n > 0\n ):\n break\n else:\n if w > 1:\n w /= 2\n else:\n base = Kernel_dnt_largeDB1.promising_parameters(\n m, n, k, gpu, autotuning\n )[0]\n break\n\n base.update(\n dict(\n [\n (\"m\", m),\n (\"n\", n),\n (\"k\", k),\n (\"algorithm\", \"largeDB1\"),\n (\"perf\", 0),\n (\"source\", \"predicted\"),\n ]\n )\n )\n return base\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_largeDB2.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************/\n/* Authors: Peter Messmer , */\n/* Nikolay Markovskiy */\n/* Ole Schuett */\n/*****************************************************************************/\n\n#include \"smm_acc_common.h\"\n\n\nnamespace ns_smm_acc_dnt_largeDB2 {\n\n/****************************************************************************/\n__device__ static inline void load_gmem_into_regs(\n const double* __restrict__ from, double* dest, const int length, const int threads) {\n const int NR = (length + threads - 1) / threads;\n int i = threadIdx.x;\n\n /* length >= threads, which is usually given for large blocks with medium tile-sizes */\n for (int ri = 0; ri < NR - 1; ri++) { /* loop with fixed bounds */\n dest[ri] = __ldg(&from[i]);\n i += threads;\n }\n if (i < length) dest[NR - 1] = __ldg(&from[i]);\n}\n\n\n/****************************************************************************/\n__device__ static inline void load_regs_into_smem(double* from, double* dest, const int length, const int threads) {\n const int NR = (length + threads - 1) / threads;\n int i = threadIdx.x;\n\n /* length >= threads, which is usually given for large blocks with medium tile-sizes */\n for (int ri = 0; ri < NR - 1; ri++) { /* loop with fixed bounds */\n dest[i] = from[ri];\n i += threads;\n }\n if (i < length) dest[i] = from[NR - 1];\n}\n\n\n/****************************************************************************/\n__device__ static inline void multiply(\n const double* buff_a, const double* buff_b, double* buff_c, const int w, const int m, const int n, const int M, const int N) {\n /* There might be more threads than needed for the calculation.\n * Only the first cmax*rmax threads participate in the calculation.\n */\n const int cmax = (n + N - 1) / N; /* max tile-column */\n const int rmax = (m + M - 1) / M; /* max tile-row */\n const int c = threadIdx.x / rmax; /* this thread's tile-column */\n const int r = threadIdx.x - c * rmax; /* this thread's tile-row */\n\n if (c < cmax && r < rmax) /* is this thread participating? */\n for (int l = 0; l < w; l++)\n for (int i = 0; i < N; i++)\n for (int j = 0; j < M; j++) buff_c[M * i + j] += buff_a[l * m + M * r + j] * buff_b[l * n + N * c + i];\n}\n\n\n/****************************************************************************/\n__device__ static inline void store_results_into_smem(\n double* from, double* dest, const int t, const int v, const int m, const int n, const int M, const int N) {\n const int rmax = (m + M - 1) / M; /* max tile-row */\n const int c = threadIdx.x / rmax; /* this thread's tile-column */\n const int r = threadIdx.x - c * rmax; /* this thread's tile-row */\n\n const int ctmp = c * N - t;\n\n if (t > c * N - v && t <= (c + 1) * N - 1)\n for (int i = 0; i < N; i++)\n if (ctmp + i >= 0 && ctmp + i < v)\n for (int j = 0; j < M; j++)\n if (M * r + j < m) {\n dest[(ctmp + i) * m + M * r + j] = from[M * i + j];\n from[M * i + j] = 0.0; /* reset result tile */\n }\n}\n\n/****************************************************************************/\n__device__ static inline void writeback_results(\n double* from, double* dest, double* buff, const int m, const int n, const int M, const int N, const int v, const int threads) {\n /* results are written in output-slabs of width v */\n for (int t = 0; t < (n / v) * v; t += v) {\n /* copy output slab from registers to shared memory */\n store_results_into_smem(from, buff, t, v, m, n, M, N);\n syncthreads();\n /* Add our results to the accumulator in global memory */\n for (int i = threadIdx.x; i < m * v; i += threads) atomicAdd(&dest[i], buff[i]);\n dest += m * v;\n syncthreads();\n }\n\n /* If the output slab width v is not a divisor of n,\n * a smaller tail-slab of width va has to be process\n */\n const int va = n - (n / v) * v;\n if (va != 0) { /* is there a tail-slab? */\n int t = (n / v) * v;\n store_results_into_smem(from, buff, t, va, m, n, M, N);\n syncthreads();\n for (int i = threadIdx.x; i < m * va; i += threads) atomicAdd(&dest[i], buff[i]);\n syncthreads();\n }\n}\n\n} // namespace ns_smm_acc_dnt_largeDB2\n\n\n/****************************************************************************/\n/*\n * Execution configuration:\n * gridDim.x = (stack_size + (grouping-1))/grouping\n * blockIdx.x = {0, ..., gridDim.x-1}\n * blockDim.x = threads\n * threadIdx.x = {0, ..., threads-1}\n\n * Execute sparse matrix-matrix multiplication C += A*B\n * according to a stack parameter list, decomposed into mutliple block\n * multiplications c_block += a_block * b_block\n * c_block, dimension (m x n)\n * a_block, dimension (m x k)\n * b_block, dimension (k x n)\n\n * Template parameters\n * --- m, n, k: triplet of integers characterising the block multiplication dimensions\n * --- M, N: dimensions of the tile T (submatrix of c_block) to compute by one thread\n * --- w: matrices a_block and b_block are processed (i.e. copied from global memory to shared memory) in slabs of width 'w'\n * --- v: matrix c_block is written back from registers to smem in slabs of width 'v'\n * --- threads: number of CUDA threads (in HIP linguo, \"work items\") this kernel is run with\n * --- grouping: number of stack parameter entries to process per thread block\n * --- minblocks: the desired minimum number of resident blocks (in HIP linguo, \"workgroup\") per multiprocessor (in HIP linguo, \"compute units\") (used in __launch_bounds__)\n\n * Function arguments\n * --- param_stack: parameter stack array (pointers to global memory):\n * array of stack entries (index triplets), indicating which elements of\n * a_data, b_data to multiply and to which element of c_data to add them to\n * --- stack_size: number of entries (3 integer triplets) in param_stack,\n * corresponds to the number of block-matrix multiplications to run in total\n * --- a_data, b_data, c_data (pointers to global memory):\n * arrays containing the values of matrices A, B, C\n\n * Algorithm specificities:\n * 'DB' stands for double-buffering\n * In order to limit shared memory utilization (indeed, large shared memory\n * utilization can limit the number of concurrent thread blocks launched on one\n * streaming multiprocessor), a_block and b_block are copied to shared memory in\n * slabs P_a, P_b instead of all at once.\n * For coalesced writes: slabs of C (P_c with width 'v') are put in shared memory\n * and only then added to the C in global memory using atomic compare-and-swap\n */\ntemplate\n__global__ void __launch_bounds__(threads, minblocks) smm_acc_dnt_largeDB2(const int* __restrict__ param_stack,\n const int stack_size, const double* __restrict__ a_data, const double* __restrict__ b_data, double* c_data) {\n using namespace ns_smm_acc_dnt_largeDB2;\n\n const int mw = m * w;\n const int wn = w * n;\n const int wa = k - (k / w) * w;\n const int npar = 3;\n\n const int bidx = blockIdx.x;\n const int tidx = threadIdx.x;\n\n /* Registers to store input slabs during double buffering\n * If there are too few thread, each thread has to store\n * multiple elements of the input slabs in its registers.\n * slab P_a has dimensions (m x w)\n * slab P_b has dimensions (w x n)\n * registers are thread-local, so we divide the amount of memory needed to store\n * the slabs by the number of threads to get the amount of memory that THIS thread needs */\n const int mya_size = (mw + threads - 1) / threads;\n const int myb_size = (wn + threads - 1) / threads;\n const int buff_tmp = MAX((w - 1) * m + ((m + M - 1) / M) * M, mw + (w - 1) * n + ((n + N - 1) / N) * N);\n /* v x m = number of elements in P_c */\n const int buff_size = MAX(buff_tmp, v * m);\n\n /* Registers to buffer/store input slabs P_a, P_b during double-buffering */\n double mya[mya_size];\n double myb[myb_size];\n\n /* Registers to store the partial result of the tile T of c_block that this thread will compute */\n double myc[M * N];\n\n int psp, nrun;\n int srcA, srcB, srcC;\n\n /* Arrays in shared memory\n * param_stack_s: shared memory buffer containing the stack entries this thread should process\n * number of stack entries in param_stack_s = grouping,\n * number of integers per stack entry: 3 */\n __shared__ int param_stack_s[npar * grouping];\n\n /* buff: shared memory buffer containing the elements of P_c to be written from regs to smem in slabs */\n __shared__ double buff[buff_size];\n\n double* buff_l = buff; /* pointer to the beginning of a_block in buffer */\n double* buff_r = &(buff[mw]); /* pointer to the beginning of b_block in buffer */\n\n /* nrun: number of runs: number of stack entries to process in this thread */\n nrun = grouping;\n if (((bidx + 1) * grouping) > stack_size) nrun = stack_size % grouping;\n\n /* Set the partial sum (tile T) to zero */\n for (int i = 0; i < M * N; i++) myc[i] = 0.0;\n\n /* Load and pack stack data for current block from global memory into smem\n * Get parameter stack entries from index \"psp\" to \"psp + (nrun-1)*npar + 2\"\n * Each triplet indicates the beginning of a submatrix to multiply */\n psp = bidx * npar * grouping;\n#pragma unroll 3\n for (int i = tidx; i < nrun; i += threads) {\n // param_stack is 1-based, convert to 0-based here\n param_stack_s[i * npar] = __ldg(¶m_stack[psp + i * npar]) - 1;\n param_stack_s[i * npar + 1] = __ldg(¶m_stack[psp + i * npar + 1]) - 1;\n param_stack_s[i * npar + 2] = __ldg(¶m_stack[psp + i * npar + 2]) - 1;\n }\n\n syncthreads();\n\n psp = 0;\n\n /* Index in a_data, b_data and c_data arrays\n * indicating where to fetch resp. write back matrix elements for this run\n * srcA, B, C corresponding to the starting indices (i.e. offsets) of block submatrices to multiply */\n srcA = param_stack_s[psp];\n srcB = param_stack_s[psp + 1];\n\n /* Start off double buffering by loading the first data from gmem into registers */\n load_gmem_into_regs(&a_data[srcA], mya, mw, threads);\n load_gmem_into_regs(&b_data[srcB], myb, wn, threads);\n syncthreads();\n\n /* In each run, we process one stack entry from param_stack_s */\n for (int run = 0; run < nrun; run++) {\n /* load first data for run from regs to smem */\n load_regs_into_smem(mya, buff_l, mw, threads);\n load_regs_into_smem(myb, buff_r, wn, threads);\n syncthreads();\n\n /* Actual double buffering loop: */\n for (int t = 0; t < (k / w - 1) * w; t += w) {\n /* load next input slab from global memory into registers */\n srcA += mw;\n srcB += wn;\n load_gmem_into_regs(&a_data[srcA], mya, mw, threads);\n load_gmem_into_regs(&b_data[srcB], myb, wn, threads);\n /* multiply previous slab, which is stored in shared memory,\n * and accumulate the results in the registers myc\n */\n multiply(buff_l, buff_r, myc, w, m, n, M, N);\n syncthreads();\n /* copy next slab from registers to shared memory */\n load_regs_into_smem(mya, buff_l, mw, threads);\n load_regs_into_smem(myb, buff_r, wn, threads);\n syncthreads();\n }\n\n if (wa != 0) { /* is there a tail-slab? */\n /* If the input slab witdh w is not a divisor of k,\n * a smaller tail-slab of width wa has to be process\n * load tail-slab into registers\n */\n srcA += mw;\n srcB += wn;\n load_gmem_into_regs(&a_data[srcA], mya, m * wa, threads);\n load_gmem_into_regs(&b_data[srcB], myb, n * wa, threads);\n /* multiply last regular slab, which the loop left in shared memory */\n multiply(buff_l, buff_r, myc, w, m, n, M, N);\n syncthreads();\n /* copy tail-slab from register into shared mem */\n load_regs_into_smem(mya, buff_l, m * wa, threads);\n load_regs_into_smem(myb, buff_r, n * wa, threads);\n syncthreads();\n }\n\n psp += npar;\n\n if (run < nrun - 1) { /* If this is not the last run */\n /* get the offsets for the a-block and the b-block from the stack */\n srcA = param_stack_s[psp];\n srcB = param_stack_s[psp + 1];\n\n /* load the data for the next iteration of the loop */\n load_gmem_into_regs(&a_data[srcA], mya, mw, threads);\n load_gmem_into_regs(&b_data[srcB], myb, wn, threads);\n }\n\n if (wa != 0) { /* is there a tail-slab? */\n /* multiply the tail-slab */\n multiply(buff_l, buff_r, myc, wa, m, n, M, N);\n }\n else {\n /* multiply last regular slab, which the loop left in shared memory */\n multiply(buff_l, buff_r, myc, w, m, n, M, N);\n }\n syncthreads();\n\n /* multiplication for this run done\n * do we have to flush the result tile?\n */\n if (run == nrun - 1 || param_stack_s[psp - 1] != param_stack_s[psp + 2]) {\n srcC = param_stack_s[psp - 1];\n writeback_results(myc, &c_data[srcC], buff, m, n, M, N, v, threads);\n }\n }\n}\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_largeDB2.py", "content": "# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nfrom kernels.smm_acc_dnt_base import Kernel\n\n\nclass Kernel_dnt_largeDB2(Kernel):\n \"\"\"Kernel 'large double-buffering' 2\"\"\"\n\n algorithm = \"largeDB2\"\n algorithm_num = 2\n launch_parameters = [\n \"m\",\n \"n\",\n \"k\",\n \"tile_m\",\n \"tile_n\",\n \"w\",\n \"v\",\n \"threads\",\n \"grouping\",\n \"minblocks\",\n ]\n\n def __init__(\n self, m, n, k, threads, tile_m, tile_n, w, v, grouping, minblocks, perf, source\n ):\n self.m = m\n self.n = n\n self.k = k\n self.tile_m = tile_m\n self.tile_n = tile_n\n self.w = w\n self.v = v\n self.threads = threads\n self.grouping = grouping\n self.minblocks = minblocks\n self.perf = perf\n self.source = source\n assert self.threads * self.minblocks <= 2048\n min_threads = ((self.m + self.tile_m - 1) // self.tile_m) * (\n (self.n + self.tile_n - 1) // self.tile_n\n )\n assert min_threads <= self.threads\n assert self.tile_m <= self.v\n assert self.tile_n <= self.w\n\n @property\n def func_signature(self):\n return (\n \"smm_acc_dnt_largeDB2\"\n + \"< {m}, {n}, {k}, {tile_m}, {tile_n}, {w}, {v}, {threads}, {grouping}, {minblocks} >;\\n\".format(\n **self.__dict__\n )\n )\n\n @staticmethod\n def promising_parameters(\n m,\n n,\n k,\n gpu,\n autotuning,\n threads=None,\n grouping=None,\n minblocks=None,\n tile_m=None,\n tile_n=None,\n w=None,\n v=None,\n ):\n \"\"\"\n Given a certain (m,n,k)-triplet, GPU properties and autotuning properties, return a list of all possible\n kernel parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n params = []\n grouping = 16\n\n for minblocks_ in (1, 2, 4, 8, 12) if minblocks is None else [minblocks]:\n # for exhaustive search, it should be: range(1, gpu.maxBLOCKSperSM + 1):\n # but heuristically reduce the search space\n for threads_ in (\n range(\n gpu[\"Threads_/_Warp\"],\n gpu[\"Max_Thread_Block_Size\"] + 1,\n gpu[\"Threads_/_Warp\"],\n )\n if threads is None\n else [threads]\n ):\n if threads_ * minblocks_ > gpu[\"Threads_/_Multiprocessor\"]:\n continue\n\n for tm in range(1, min(12, m + 1)) if tile_m is None else [tile_m]:\n for tn in range(1, min(12, n + 1)) if tile_n is None else [tile_n]:\n if tm * tn > 49:\n continue # heuristic: performance decreases for very large tiles\n\n # Number of tiled columns, rows\n cmax = (n + tn - 1) // tn\n rmax = (m + tm - 1) // tm\n\n # Minimum number of threads required to have one thread per tile\n # i.e., cover the result matrix\n min_threads = cmax * rmax\n if threads_ < min_threads:\n continue\n if min_threads < (threads_ - 32):\n continue # heuristic: too many threads unused during calculation\n\n for w_ in range(4, (k + 1) // 2, 2) if w is None else [w]:\n # heuristic: even numbers yield better performance\n\n if w_ < tn:\n continue # invalid: input slap too small\n if 2 * w_ > k:\n continue # heuristic: do at least one double-buffering step\n\n for v_ in range(4, n + 1, 2) if v is None else [v]:\n # heuristic: even numbers yield better performance\n\n if v_ < tm:\n continue # invalid: output slab too small\n\n # Number of registers\n n_regs = (\n tm * tn\n + (w_ * m + threads_ - 1) // threads_\n + (w_ * n + threads_ - 1) // threads_\n )\n if n_regs * threads_ * minblocks_ > 15000:\n continue # heuristic: too many registers used\n\n # Max work (\"operations\") which can be run concurrently\n max_concurrent_work = max(\n grouping, m * w_, w_ * n, m * v_, cmax * rmax\n )\n if threads_ > round_up_to_nearest_multiple(\n max_concurrent_work, gpu[\"Threads_/_Warp\"]\n ):\n continue # heuristics: too much concurrency harms performance\n\n # Shared memory buffer size\n buf_sz = max(\n (w_ - 1) * m + rmax * tm,\n m * w_ + (w_ - 1) * n + cmax * tn,\n v_ * m,\n )\n smem_tot = (\n buf_sz * autotuning[\"sizeof_double\"]\n + autotuning[\"npars\"]\n * grouping\n * autotuning[\"sizeof_int\"]\n )\n if smem_tot > gpu[\"Max_Shared_Memory_/_Block_(bytes)\"]:\n continue # invalid: uses too much shared memory\n if (\n smem_tot * minblocks_\n > gpu[\"Shared_Memory_/_Multiprocessor_(bytes)\"]\n ):\n continue # invalid: uses too much shared memory\n\n params.append(\n {\n \"m\": m,\n \"n\": n,\n \"k\": k,\n \"tile_m\": tm,\n \"tile_n\": tn,\n \"w\": w_,\n \"v\": v_,\n \"threads\": threads_,\n \"grouping\": grouping,\n \"minblocks\": minblocks_,\n }\n )\n return params\n\n @staticmethod\n def baseline(m, n, k, gpu, autotuning):\n \"\"\"\n Given an (m, n, k)-triplet and GPu and autotuning properties, return a set of parameters corresponding to a\n baseline (\"educated guess\") of the kernel's optimal parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n grouping = 16\n minblk = 2\n tm = 2\n tn = 2\n cmax = (n + tn - 1) // tn\n rmax = (m + tm - 1) // tm\n min_threads = cmax * rmax\n w = 8\n v = 8\n\n while True:\n base = {\n \"threads\": round_up_to_nearest_multiple(min_threads, 32),\n \"grouping\": grouping,\n \"minblocks\": minblk,\n \"tile_m\": tn,\n \"tile_n\": tn,\n \"w\": w,\n \"v\": v,\n }\n if (\n len(\n Kernel_dnt_largeDB2.promising_parameters(\n m, n, k, gpu, autotuning, **base\n )\n )\n > 0\n ):\n break\n else:\n if w > 1:\n w /= 2\n else:\n base = Kernel_dnt_largeDB2.promising_parameters(\n m, n, k, gpu, autotuning\n )[0]\n break\n\n base.update(\n dict(\n [\n (\"m\", m),\n (\"n\", n),\n (\"k\", k),\n (\"algorithm\", \"largeDB2\"),\n (\"perf\", 0),\n (\"source\", \"predicted\"),\n ]\n )\n )\n return base\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_medium.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************/\n/* Authors: Peter Messmer , */\n/* Nikolay Markovskiy */\n/* Simplified, cleanup & refacture: Based on 'cusmm_dnt_small.h' */\n/* Andreas Gloess */\n/* */\n/*****************************************************************************/\n\n#include \"smm_acc_common.h\"\n\n/*\n * Execution configuration:\n * gridDim.x = (stack_size + (grouping-1))/grouping\n * blockIdx.x = {0, ..., gridDim.x-1}\n * blockDim.x = threads\n * threadIdx.x = {0, ..., threads-1}\n\n * Execute sparse matrix-matrix multiplication C += A*B\n * according to a stack parameter list, decomposed into mutliple block\n * multiplications c_block += a_block * b_block\n * c_block, dimension (m x n)\n * a_block, dimension (m x k)\n * b_block, dimension (k x n)\n\n * Template parameters\n * --- m, n, k: triplet of integers characterising the block multiplication dimensions\n * --- M, N: dimensions of the tile T (submatrix of c_block) to compute with one thread\n * --- threads: number of CUDA threads (in HIP linguo, \"work items\") this kernel is run with\n * --- grouping: number of stack parameter entries to process per thread block\n * --- minblocks: the desired minimum number of resident blocks (in HIP linguo, \"workgroup\") per multiprocessor (in HIP linguo, \"compute units\") (used in __launch_bounds__)\n\n * Function arguments\n * --- param_stack: parameter stack array (pointers to global memory):\n * array of stack entries (index triplets), indicating which elements of\n * a_data, b_data to multiply and to which element of c_data to add them to\n * --- stack_size: number of entries (3 integer triplets) in param_stack,\n * corresponds to the number of block-matrix multiplications to run in total\n * --- a_data, b_data, c_data (pointers to global memory):\n * arrays containing the values of matrices A, B, C\n\n * Algorithm specificities:\n * - a_block and b_block are not copied directly from global memory to shared memory,\n * but rather via registers\n */\ntemplate\n__global__ void __launch_bounds__(threads, minblocks) smm_acc_dnt_medium(const int* __restrict__ param_stack, int stack_size,\n const double* __restrict__ a_data, const double* __restrict__ b_data, double* c_data) {\n /* Total number of elements in block matrices */\n const int mn = m * n; /* c_block */\n const int mk = m * k; /* a_block */\n const int kn = n * k; /* b_block */\n\n /* Block and thread index */\n const int bidx = blockIdx.x;\n const int tidx = threadIdx.x;\n\n /* Number of columns and rows used to divide c_block into tiles */\n const int cmax = (n % N == 0) ? n / N : n / N + 1;\n const int rmax = (m % M == 0) ? m / M : m / M + 1;\n\n /* buff_l and buff_r can overlap in the multiplication step\n * (still better than 'if' in inner loop, see ^ref1)\n */\n const int buf_tmp = (mk + k * N * cmax < M * rmax * k + 1) ? M * rmax * k + 1 : mk + k * N * cmax;\n const int buf_sz = (buf_tmp < mn) ? mn : buf_tmp;\n\n /* Column and row starting index of the tile T this thread will compute\n * Each thread computes all elements of one tile T */\n const int c = tidx / rmax;\n const int r = tidx - rmax * c;\n\n /* Number of loads to perform by each thread in order to load matrices a_block, b_block into shared memory */\n const int load_unroll_factor_1 = mk / threads + 1;\n const int load_unroll_factor_2 = kn / threads + 1;\n\n const int n_mkloads = mk / (load_unroll_factor_1 * threads);\n const int n_knloads = kn / (load_unroll_factor_2 * threads);\n\n /* Remainder */\n const int mkloads_remained = (mk - n_mkloads * load_unroll_factor_1 * threads) / threads;\n const int knloads_remained = (kn - n_knloads * load_unroll_factor_2 * threads) / threads;\n\n /* ... */\n const int mkloads_tail = ((mkloads_remained + n_mkloads * load_unroll_factor_1) * threads == mk) ? 0 : 1;\n const int knloads_tail = ((knloads_remained + n_knloads * load_unroll_factor_2) * threads == kn) ? 0 : 1;\n\n /* ... */\n const int m_loads_to_finish = n_mkloads * (load_unroll_factor_1 * threads) + mkloads_remained * threads;\n const int n_loads_to_finish = n_knloads * (load_unroll_factor_2 * threads) + knloads_remained * threads;\n const int left_to_finish_1 = m_loads_to_finish + tidx;\n const int left_to_finish_2 = n_loads_to_finish + tidx;\n\n /* Number of parameters per stack entry in parameter stack */\n const int npar = 3;\n\n /* If multiple warps (in HIP linguo, \"wavefronts\") are running a single block multiplication,\n * synchronization is needed */\n const bool need_sync = (mn > warpSize || mk > warpSize || kn > warpSize || threads > warpSize);\n\n /* Partial result of the tile T of c_block that this thread will compute */\n /* Registers */\n double myc[N * M];\n\n /* ... */\n double lba_r[load_unroll_factor_1 + mkloads_remained + mkloads_tail];\n double lbb_r[load_unroll_factor_2 + knloads_remained + knloads_tail];\n\n /* ... */\n const double* __restrict__ buff_l;\n const double* __restrict__ buff_r;\n\n /* psp: parameter stack position:\n * index in the parameter stack of the first parameter stack entry to be processed by this thread\n * nrun: number of runs: number of stack entries to process in this thread */\n int psp, nrun;\n bool is_loaded = false;\n\n /* Arrays in shared memory\n *(common to all threads in a thread block, but different from thread-block to thread-block):\n * param_stack_s: shared memory buffer containing the stack entries this thread should process\n * number of stack entries in param_stack_s = grouping,\n * number of integers per stack entry: 3 */\n __shared__ int param_stack_s[npar * grouping];\n\n /* buff: shared memory buffer containing a_block (block submatrix of A) and b_block to multiply */\n __shared__ double buff[buf_sz];\n buff_l = buff; /* pointer to the beginning of a_block in buffer */\n buff_r = &(buff[mk]); /* pointer to the beginning of b_block in buffer */\n\n /* Set the number of runs (i.e. how many stack entries to process in this thread)\n * If the current block is the last block set the number of stack entries to process in\n * this thread to the remainder of stack_size / grouping */\n nrun = grouping;\n if (((bidx + 1) * grouping) > stack_size) nrun = stack_size % grouping;\n\n /* Set the partial sum (tile T) to zero */\n /* WHY NO PRAGMA UNROLL ???? */\n for (int i = 0; i < M * N; i++) myc[i] = 0.0;\n\n /* Load and pack stack data for current block from global memory into smem\n * Get parameter stack entries from index \"psp\" to \"psp + (nrun-1)*npar + 2\"\n * Each triplet indicates the beginning of a submatrix to multiply */\n psp = bidx * npar * grouping;\n#pragma unroll 3\n for (int i = tidx; i < nrun; i += threads) {\n // param_stack is 1-based, convert to 0-based here\n param_stack_s[i * npar] = __ldg(¶m_stack[psp + i * npar]) - 1; /* value = index in a_data */\n param_stack_s[i * npar + 1] = __ldg(¶m_stack[psp + i * npar + 1]) - 1; /* value = index in b_data */\n param_stack_s[i * npar + 2] = __ldg(¶m_stack[psp + i * npar + 2]) - 1; /* value = index in c_data */\n }\n\n /* Wait until all the data has been loaded */\n if (need_sync) syncthreads();\n\n /* In each run, we process one stack entry from param_stack_s */\n for (int run = 0; run < nrun; run++) {\n /* Index in shared memory buffers to read from */\n psp = run * npar;\n\n int srcA, srcB;\n\n if (!is_loaded) { /* If a_block, b_block are not loaded into registers yet */\n\n /* Index in a_data, b_data and c_data arrays\n * indicating where to fetch resp. write back matrix elements for this run\n * srcA, B, C corresponding to the starting indices (i.e. offsets) of block submatrices to multiply */\n srcA = param_stack_s[psp];\n srcB = param_stack_s[psp + 1];\n\n /* Copy a_block, b_block from global memory to registers */\n if (m == n) {\n#pragma unroll 3\n for (int i = tidx; i < n_mkloads * (load_unroll_factor_1 * threads); i += load_unroll_factor_1 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_1; l++) {\n lba_r[l] = __ldg(&a_data[srcA + i + l * threads]);\n lbb_r[l] = __ldg(&b_data[srcB + i + l * threads]);\n }\n }\n\n#pragma unroll 3\n for (int i = n_mkloads * (load_unroll_factor_1 * threads) + tidx; i < m_loads_to_finish; i += mkloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < mkloads_remained; l++) {\n lba_r[l] = __ldg(&a_data[srcA + i + l * threads]);\n lbb_r[l] = __ldg(&b_data[srcB + i + l * threads]);\n }\n }\n\n if (left_to_finish_1 < mk) {\n lba_r[load_unroll_factor_1 + mkloads_remained] = __ldg(&a_data[srcA + left_to_finish_1]);\n lbb_r[load_unroll_factor_2 + knloads_remained] = __ldg(&b_data[srcB + left_to_finish_2]);\n }\n }\n else {\n#pragma unroll 3\n for (int i = tidx; i < n_mkloads * (load_unroll_factor_1 * threads); i += load_unroll_factor_1 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_1; l++) {\n lba_r[l] = __ldg(&a_data[srcA + i + l * threads]);\n }\n }\n\n#pragma unroll 3\n for (int i = tidx; i < n_knloads * (load_unroll_factor_2 * threads); i += load_unroll_factor_2 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_2; l++) {\n lbb_r[l] = __ldg(&b_data[srcB + i + l * threads]);\n }\n }\n\n#pragma unroll 3\n for (int i = n_mkloads * (load_unroll_factor_1 * threads) + tidx; i < m_loads_to_finish; i += mkloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < mkloads_remained; l++) {\n lba_r[l] = __ldg(&a_data[srcA + i + l * threads]);\n }\n }\n\n#pragma unroll 3\n for (int i = n_knloads * (load_unroll_factor_2 * threads) + tidx; i < n_loads_to_finish; i += knloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < knloads_remained; l++) {\n lbb_r[l] = __ldg(&b_data[srcB + i + l * threads]);\n }\n }\n\n if (left_to_finish_1 < mk) lba_r[load_unroll_factor_1 + mkloads_remained] = __ldg(&a_data[srcA + left_to_finish_1]);\n if (left_to_finish_2 < kn) lbb_r[load_unroll_factor_2 + knloads_remained] = __ldg(&b_data[srcB + left_to_finish_2]);\n }\n\n /* Wait until all the data has been loaded to registers */\n syncthreads();\n }\n else {\n is_loaded = false;\n }\n\n /* Copy a_block, b_block from registers to shared memory */\n if (m == n) {\n#pragma unroll 3\n for (int i = n_mkloads * (load_unroll_factor_1 * threads) + tidx; i < m_loads_to_finish; i += mkloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < mkloads_remained; l++) {\n buff[i + l * threads] = lba_r[l];\n buff[i + mk + l * threads] = lbb_r[l];\n }\n }\n\n#pragma unroll 3\n for (int i = tidx; i < n_mkloads * (load_unroll_factor_1 * threads); i += load_unroll_factor_1 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_1; l++) {\n buff[i + l * threads] = lba_r[l];\n buff[i + mk + l * threads] = lbb_r[l];\n }\n }\n\n if (left_to_finish_1 < mk) {\n buff[left_to_finish_1] = lba_r[load_unroll_factor_1 + mkloads_remained];\n buff[mk + left_to_finish_2] = lbb_r[load_unroll_factor_2 + knloads_remained];\n }\n }\n else {\n#pragma unroll 3\n for (int i = n_mkloads * (load_unroll_factor_1 * threads) + tidx; i < m_loads_to_finish; i += mkloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < mkloads_remained; l++) {\n buff[i + l * threads] = lba_r[l];\n }\n }\n\n#pragma unroll 3\n for (int i = n_knloads * (load_unroll_factor_2 * threads) + tidx; i < n_loads_to_finish; i += knloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < knloads_remained; l++) {\n buff[i + mk + l * threads] = lbb_r[l];\n }\n }\n\n#pragma unroll 3\n for (int i = tidx; i < n_mkloads * (load_unroll_factor_1 * threads); i += load_unroll_factor_1 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_1; l++) {\n buff[i + l * threads] = lba_r[l];\n }\n }\n\n#pragma unroll 3\n for (int i = tidx; i < n_knloads * (load_unroll_factor_2 * threads); i += load_unroll_factor_2 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_2; l++) {\n buff[i + mk + l * threads] = lbb_r[l];\n }\n }\n\n if (left_to_finish_1 < mk) buff[left_to_finish_1] = lba_r[load_unroll_factor_1 + mkloads_remained];\n if (left_to_finish_2 < kn) buff[mk + left_to_finish_2] = lbb_r[load_unroll_factor_2 + knloads_remained];\n }\n\n /* Wait until all the data has been loaded to shared memory */\n if (need_sync) syncthreads();\n\n\n int next_run = run + 1;\n if (next_run >= nrun) is_loaded = true;\n\n if (!is_loaded || (run == 0 && nrun > 1)) {\n /* Next parameter stack position */\n int next_psp = next_run * npar;\n\n /* Index in a_data, b_data and c_data arrays\n * indicating where to fetch resp. write back matrix elements for this run\n * srcA, B, C corresponding to the strting indices of block submatrices to multiply */\n srcA = param_stack_s[next_psp];\n srcB = param_stack_s[next_psp + 1];\n\n /* Buffering: copy the input data for the next run from global memory to registers */\n if (m == n) {\n#pragma unroll 3\n for (int i = tidx; i < n_mkloads * (load_unroll_factor_1 * threads); i += load_unroll_factor_1 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_1; l++) {\n lba_r[l] = __ldg(&a_data[srcA + i + l * threads]);\n lbb_r[l] = __ldg(&b_data[srcB + i + l * threads]);\n }\n }\n\n#pragma unroll 3\n for (int i = n_mkloads * (load_unroll_factor_1 * threads) + tidx; i < m_loads_to_finish; i += mkloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < mkloads_remained; l++) {\n lba_r[l] = __ldg(&a_data[srcA + i + l * threads]);\n lbb_r[l] = __ldg(&b_data[srcB + i + l * threads]);\n }\n }\n\n if (left_to_finish_1 < mk) {\n lba_r[load_unroll_factor_1 + mkloads_remained] = __ldg(&a_data[srcA + left_to_finish_1]);\n lbb_r[load_unroll_factor_2 + knloads_remained] = __ldg(&b_data[srcB + left_to_finish_2]);\n }\n }\n else {\n#pragma unroll 3\n for (int i = tidx; i < n_mkloads * (load_unroll_factor_1 * threads); i += load_unroll_factor_1 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_1; l++) {\n lba_r[l] = __ldg(&a_data[srcA + i + l * threads]);\n }\n }\n\n#pragma unroll 3\n for (int i = tidx; i < n_knloads * (load_unroll_factor_2 * threads); i += load_unroll_factor_2 * threads) {\n#pragma unroll\n for (int l = 0; l < load_unroll_factor_2; l++) {\n lbb_r[l] = __ldg(&b_data[srcB + i + l * threads]);\n }\n }\n\n#pragma unroll 3\n for (int i = n_mkloads * (load_unroll_factor_1 * threads) + tidx; i < m_loads_to_finish; i += mkloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < mkloads_remained; l++) {\n lba_r[l] = __ldg(&a_data[srcA + i + l * threads]);\n }\n }\n\n#pragma unroll 3\n for (int i = n_knloads * (load_unroll_factor_2 * threads) + tidx; i < n_loads_to_finish; i += knloads_remained * threads) {\n#pragma unroll\n for (int l = 0; l < knloads_remained; l++) {\n lbb_r[l] = __ldg(&b_data[srcB + i + l * threads]);\n }\n }\n\n if (left_to_finish_1 < mk) lba_r[load_unroll_factor_1 + mkloads_remained] = __ldg(&a_data[srcA + left_to_finish_1]);\n if (left_to_finish_2 < kn) lbb_r[load_unroll_factor_2 + knloads_remained] = __ldg(&b_data[srcB + left_to_finish_2]);\n }\n\n is_loaded = true;\n }\n\n /* Do actual multiplication. */\n if (c < cmax && r < rmax) {\n for (int l = 0; l < k; l++) {\n /* Loop over all elements c_ij of tile T */\n for (int i = 0; i < M; i++) {\n for (int j = 0; j < N; j++) {\n /* Compute c_ij = sum_k (a_ik * b_kj) in shared memory */\n myc[N * i + j] += buff_l[l * m + M * r + i] * buff_r[l * n + N * c + j];\n }\n }\n }\n }\n\n\n if (run == nrun - 1 || param_stack_s[psp + 2] != param_stack_s[psp + 2 + npar]) {\n /* Index in c_data indicating where to write back matrix elements for this run */\n int srcC = param_stack_s[psp + 2];\n\n if (M > 1 || N > 1) {\n if (need_sync) syncthreads();\n /* Decompress results to buffer and set tile elements back to 0 */\n if (c < cmax && r < rmax) {\n for (int i = 0; i < M; i++) {\n for (int j = 0; j < N; j++) {\n if (M * r + i < m && N * c + j < n) {\n buff[(N * c + j) * m + M * r + i] = myc[N * i + j];\n myc[N * i + j] = 0.0;\n }\n }\n }\n }\n if (need_sync) syncthreads();\n\n /* Add results from shared memory buffer to global C block. */\n#pragma unroll\n for (int i = tidx; i < mn; i += threads) {\n atomicAdd(&c_data[srcC + i], buff[i]);\n }\n }\n else {\n /* Add results from registers to global C block. */\n#pragma unroll\n for (int i = tidx; i < mn; i += threads) {\n atomicAdd(&c_data[srcC + i], myc[0]);\n }\n myc[0] = 0.0;\n }\n }\n if (need_sync) syncthreads();\n }\n}\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_medium.py", "content": "# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nfrom kernels.smm_acc_dnt_base import Kernel\n\n\nclass Kernel_dnt_medium(Kernel):\n algorithm = \"medium\"\n algorithm_num = 3\n launch_parameters = [\n \"m\",\n \"n\",\n \"k\",\n \"tile_m\",\n \"tile_n\",\n \"threads\",\n \"grouping\",\n \"minblocks\",\n ]\n\n def __init__(\n self, m, n, k, threads, tile_m, tile_n, grouping, minblocks, perf, source\n ):\n self.m = m\n self.n = n\n self.k = k\n self.tile_m = tile_m\n self.tile_n = tile_n\n self.threads = threads\n self.grouping = grouping\n self.minblocks = minblocks\n self.perf = perf\n self.source = source\n assert self.threads * self.minblocks <= 2048\n min_threads = ((self.m + self.tile_m - 1) // self.tile_m) * (\n (self.n + self.tile_n - 1) // self.tile_n\n )\n assert min_threads <= self.threads\n\n @property\n def func_signature(self):\n return (\n \"smm_acc_dnt_medium\"\n + \"<{m}, {n}, {k}, {tile_m}, {tile_n}, {threads}, {grouping}, {minblocks} >;\\n\".format(\n **self.__dict__\n )\n )\n\n @staticmethod\n def promising_parameters(\n m,\n n,\n k,\n gpu,\n autotuning,\n threads=None,\n grouping=None,\n minblocks=None,\n tile_m=None,\n tile_n=None,\n w=None,\n v=None,\n ):\n \"\"\"\n Given a certain (m,n,k)-triplet, GPU properties and autotuning properties, return a list of all possible\n kernel parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n params = []\n for minblocks_ in range(1, 28) if minblocks is None else [minblocks]:\n # for exhaustive search: range(1, gpu[\"Thread_Blocks_/_Multiprocessor\"] + 1):\n # heuristic: the optimal minblocks is never > 28\n for grouping_ in range(1, 32 + 1, 1) if grouping is None else [grouping]:\n if m >= 28 and grouping_ not in (3, 4, 5, 24, 26, 29, 32):\n continue # heuristic: investigate a smaller search space of grouping for large matrices\n\n for tm in (\n range(1, min(12, m) + 1) if tile_m is None else [tile_m]\n ): # heuristic: the optimal tile_m is never above 12\n for tn in (\n range(1, min(12, n) + 1) if tile_n is None else [tile_n]\n ): # heuristic: the optimal tile_m is never above 12\n if tm * tn > 16:\n continue # heuristic: performance decreases for very large tiles\n\n # Number of tiled columns, rows\n cmax = (n + tn - 1) // tn\n rmax = (m + tm - 1) // tm\n\n # Max work (\"operations\") which can be run concurrently\n max_concurrent_work = max(\n grouping_, m * k, k * n, m * n, cmax * rmax\n )\n\n # Minimum number of threads required to have one thread per tile\n # i.e., cover the result matrix\n min_threads = cmax * rmax\n\n # Shared memory buffer size\n buf_sz = max(m * n, m * k + k * tn * cmax, tm * rmax * k + 1)\n smem_tot = (\n buf_sz * autotuning[\"sizeof_double\"]\n + autotuning[\"npars\"] * grouping_ * autotuning[\"sizeof_int\"]\n )\n if smem_tot > gpu[\"Max_Shared_Memory_/_Block_(bytes)\"]:\n continue\n if (\n smem_tot * minblocks_\n > gpu[\"Shared_Memory_/_Multiprocessor_(bytes)\"]\n ):\n continue\n\n # Use all concurrency available: fill warps\n for threads_ in (\n range(\n gpu[\"Threads_/_Warp\"],\n gpu[\"Max_Thread_Block_Size\"] + 1,\n gpu[\"Threads_/_Warp\"],\n )\n if threads is None\n else [threads]\n ):\n if threads_ > round_up_to_nearest_multiple(\n max_concurrent_work, gpu[\"Threads_/_Warp\"]\n ):\n continue # soft: too much concurrency harms performance\n if threads_ * minblocks_ > gpu[\"Threads_/_Multiprocessor\"]:\n continue\n if threads_ < min_threads:\n continue\n\n params.append(\n {\n \"m\": m,\n \"n\": n,\n \"k\": k,\n \"tile_m\": tm,\n \"tile_n\": tn,\n \"threads\": threads_,\n \"grouping\": grouping_,\n \"minblocks\": minblocks_,\n }\n )\n return params\n\n @staticmethod\n def baseline(m, n, k, gpu, autotuning):\n \"\"\"\n Given an (m, n, k)-triplet and GPu and autotuning properties, return a set of parameters corresponding to a\n baseline (\"educated guess\") of the kernel's optimal parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n grp = 16\n minblk = 2\n tm = 2\n tn = 2\n cmax = (n + tn - 1) // tn\n rmax = (m + tm - 1) // tm\n min_threads = cmax * rmax\n\n while True:\n base = {\n \"threads\": round_up_to_nearest_multiple(min_threads, 32),\n \"grouping\": grp,\n \"minblocks\": minblk,\n \"tile_m\": tn,\n \"tile_n\": tn,\n \"w\": float(\"nan\"),\n \"v\": float(\"nan\"),\n }\n\n if (\n len(\n Kernel_dnt_medium.promising_parameters(\n m, n, k, gpu, autotuning, **base\n )\n )\n > 0\n ):\n break\n else:\n grp -= 1\n if grp == 0:\n base = Kernel_dnt_medium.promising_parameters(\n m, n, k, gpu, autotuning\n )[0]\n base.update(dict([(\"w\", float(\"nan\")), (\"v\", float(\"nan\"))]))\n break\n\n base.update(\n dict(\n [\n (\"m\", m),\n (\"n\", n),\n (\"k\", k),\n (\"algorithm\", \"medium\"),\n (\"perf\", 0),\n (\"source\", \"predicted\"),\n ]\n )\n )\n return base\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_small.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************/\n/* Authors: Peter Messmer , */\n/* Nikolay Markovskiy */\n/* Simplified, cleanup & refacture: Based on 'cusmm_dnt_small.h' */\n/* Andreas Gloess */\n/* */\n/*****************************************************************************/\n\n#include \"smm_acc_common.h\"\n\n/*\n * Execution configuration:\n * gridDim.x = (stack_size + (grouping-1))/grouping\n * blockIdx.x = {0, ..., gridDim.x-1}\n * blockDim.x = threads\n * threadIdx.x = {0, ..., threads-1}\n\n * Execute sparse matrix-matrix multiplication C += A*B\n * according to a stack parameter list, decomposed into mutliple block\n * multiplications c_block += a_block * b_block\n * c_block, dimension (m x n)\n * a_block, dimension (m x k)\n * b_block, dimension (k x n)\n\n * Template parameters\n * --- m, n, k: triplet of integers characterising the block multiplication dimensions\n * --- M, N: dimensions of the tile T (submatrix of c_block) to compute with one thread\n * --- threads: number of CUDA threads (in HIP linguo, \"work items\") this kernel is run with\n * --- grouping: number of stack parameter entries to process per thread block\n * --- minblocks: the desired minimum number of resident blocks (in HIP linguo, \"workgroup\") per multiprocessor (in HIP linguo, \"compute units\") (used in __launch_bounds__)\n\n * Function arguments\n * --- param_stack: parameter stack array (pointers to global memory):\n * array of stack entries (index triplets), indicating which elements of\n * a_data, b_data to multiply and to which element of c_data to add them to\n * --- stack_size: number of entries (3 integer triplets) in param_stack,\n * corresponds to the number of block-matrix multiplications to run in total\n * --- a_data, b_data, c_data (pointers to global memory):\n * arrays containing the values of matrices A, B, C\n\n * Algorithm specificities:\n * - each thread computes a tile T (of size tile_m * tile_n) of c_block, in order to increase\n * ILP per thread and given the large number of registers allowed per thread.\n * - the result tiles do not need to be shared between threads, it is therefore stored in registers\n * - T get decompressed to shared memory buffer before being written back to global memory via an atomic add\n */\ntemplate\n__global__ void __launch_bounds__(threads, minblocks) smm_acc_dnt_small(const int* __restrict__ param_stack, int stack_size,\n const double* __restrict__ a_data, const double* __restrict__ b_data, double* c_data) {\n /* Total number of elements in block matrices */\n const int mn = m * n; /* c_block */\n const int mk = m * k; /* a_block */\n const int kn = n * k; /* b_block */\n\n /* Block and thread index */\n const int bidx = blockIdx.x;\n const int tidx = threadIdx.x;\n\n /* Number of columns and rows used to divide c_block into tiles */\n const int cmax = (n % N == 0) ? n / N : n / N + 1;\n const int rmax = (m % M == 0) ? m / M : m / M + 1;\n\n /* buff_l and buff_r can overlap in the multiplication step\n * (still better than 'if' in inner loop, see ^ref1)\n */\n const int buf_tmp = (mk + k * N * cmax < M * rmax * k + 1) ? M * rmax * k + 1 : mk + k * N * cmax;\n const int buf_sz = (buf_tmp < mn) ? mn : buf_tmp;\n\n /* Column and row starting index of the tile T this thread will compute\n * Each thread computes all elements of one tile T */\n const int c = tidx / rmax;\n const int r = tidx - c * rmax;\n\n /* Number of parameters per stack entry in parameter stack */\n const int npar = 3;\n\n /* If multiple warps (in HIP linguo, \"wavefronts\") are running a single block multiplication,\n * synchronization is needed */\n const bool need_sync = (mn > warpSize || mk > warpSize || kn > warpSize || threads > warpSize);\n\n /* psp: parameter stack position:\n * index in the parameter stack of the first parameter stack entry to be processed by this thread\n * nrun: number of runs: number of stack entries to process in this thread */\n int nrun, psp;\n\n /* Partial sum of the tile T of block_c that this thread will compute */\n double myc[M * N];\n\n /* Arrays in shared memory\n *(common to all threads in a thread block, but different from thread-block to thread-block):\n * param_stack_s: shared memory buffer containing the stack entries this thread should process\n * number of stack entries in param_stack_s = grouping,\n * number of integers per stack entry: 3 */\n __shared__ int param_stack_s[npar * grouping];\n\n /* buff: shared memory buffer containing a_block (block submatrix of A) and b_block to multiply\n * and to which c-results are decompressed */\n __shared__ double buff[buf_sz];\n double* buff_l = buff; /* pointer to the beginning of a_block in buffer */\n double* buff_r = &buff[mk]; /* pointer to the beginning of b_block in buffer */\n\n /* Set the number of runs (i.e. how many stack entries to process in this thread)\n * If the current block is the last block set the number of stack entries to process in\n * this thread to the remainder of stack_size / grouping */\n nrun = grouping;\n if (((bidx + 1) * grouping) > stack_size) nrun = stack_size % grouping;\n\n /* Set the partial sum (tile T) to zero */\n#pragma unroll\n for (int i = 0; i < M * N; i++) myc[i] = 0.0;\n\n /* Load and pack stack data for current block from global memory into shared memory\n * Get parameter stack entries from index \"psp\" to \"psp + (nrun-1)*npar + 2\"\n * Each triplet indicates the beginning of a submatrix to multiply */\n psp = bidx * npar * grouping;\n#pragma unroll\n for (int i = tidx; i < nrun; i += threads) {\n // param_stack is 1-based, convert to 0-based here\n param_stack_s[i * npar] = __ldg(¶m_stack[psp + i * npar]) - 1; /* value = index in a_data */\n param_stack_s[i * npar + 1] = __ldg(¶m_stack[psp + i * npar + 1]) - 1; /* value = index in b_data */\n param_stack_s[i * npar + 2] = __ldg(¶m_stack[psp + i * npar + 2]) - 1; /* value = index in c_data */\n }\n\n /* Wait until all the data has been loaded */\n if (need_sync) syncthreads();\n\n /* In each run, we process one stack entry from param_stack_s */\n for (int run = 0; run < nrun; run++) {\n /* Index in shared memory buffers to read from */\n psp = run * npar;\n\n /* Index in a_data, b_data and c_data arrays\n * indicating where to fetch resp. write back matrix elements for this run\n * srcA, B, C corresponding to the strting indices of block submatrices to multiply */\n int srcA = param_stack_s[psp];\n int srcB = param_stack_s[psp + 1];\n int srcC = param_stack_s[psp + 2];\n\n /* Load block matrices a_block and b_block for current block and stack into smem */\n if (m == n) {\n#pragma unroll\n for (int i = tidx; i < mk; i += threads) {\n buff_l[i] = __ldg(&a_data[srcA + i]);\n buff_r[i] = __ldg(&b_data[srcB + i]);\n }\n }\n else {\n#pragma unroll\n for (int i = tidx; i < mk; i += threads) {\n buff_l[i] = __ldg(&a_data[srcA + i]);\n }\n#pragma unroll\n for (int i = tidx; i < kn; i += threads) {\n buff_r[i] = __ldg(&b_data[srcB + i]);\n }\n }\n\n /* Wait until all the data has been loaded */\n if (need_sync) syncthreads();\n\n /* Do actual multiplication. */\n if (c < cmax && r < rmax) {\n for (int l = 0; l < k; l++) {\n /* Loop over all elements c_ij of tile T */\n#pragma unroll\n for (int i = 0; i < N; i++) {\n#pragma unroll\n for (int j = 0; j < M; j++) {\n /* Compute c_ij = sum_k (a_ik * b_kj) in shared memory */\n myc[M * i + j] += buff_l[l * m + M * r + j] * buff_r[l * n + N * c + i];\n }\n }\n }\n }\n\n /* last loop or C_idx for next stack entry is different */\n if ((run == (nrun - 1)) || (srcC != param_stack_s[psp + 2 + npar])) {\n if ((M > 1) || (N > 1)) {\n if (need_sync) syncthreads();\n\n /* Decompress results to buffer and set tile elements back to 0 */\n if (c < cmax && r < rmax) {\n#pragma unroll\n for (int i = 0; i < N; i++) {\n#pragma unroll\n for (int j = 0; j < M; j++) {\n if (M * r + j < m && N * c + i < n) {\n buff[(N * c + i) * m + M * r + j] = myc[M * i + j];\n myc[M * i + j] = 0.0;\n }\n }\n }\n }\n\n if (need_sync) syncthreads();\n\n /* Add results from shared memory buffer to global C block. */\n#pragma unroll\n for (int i = tidx; i < mn; i += threads) atomicAdd(&c_data[srcC + i], buff[i]);\n }\n else {\n /* Add results from registers to global C block. */\n#pragma unroll\n for (int i = tidx; i < mn; i += threads) atomicAdd(&c_data[srcC + i], myc[0]);\n myc[0] = 0.0;\n }\n }\n\n if (need_sync) syncthreads();\n }\n}\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_small.py", "content": "# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nfrom kernels.smm_acc_dnt_base import Kernel\n\n\nclass Kernel_dnt_small(Kernel):\n algorithm = \"small\"\n algorithm_num = 4\n launch_parameters = [\n \"m\",\n \"n\",\n \"k\",\n \"tile_m\",\n \"tile_n\",\n \"threads\",\n \"grouping\",\n \"minblocks\",\n ]\n\n def __init__(\n self, m, n, k, threads, tile_m, tile_n, grouping, minblocks, perf, source\n ):\n self.m = m\n self.n = n\n self.k = k\n self.tile_m = tile_m\n self.tile_n = tile_n\n self.threads = threads\n self.grouping = grouping\n self.minblocks = minblocks\n self.perf = perf\n self.source = source\n\n @property\n def func_signature(self):\n return (\n \"smm_acc_dnt_small\"\n + \"< {m}, {n}, {k}, {tile_m}, {tile_n}, {threads}, {grouping}, {minblocks} >;\\n\".format(\n **self.__dict__\n )\n )\n\n @staticmethod\n def promising_parameters(\n m,\n n,\n k,\n gpu,\n autotuning,\n threads=None,\n grouping=None,\n minblocks=None,\n tile_m=None,\n tile_n=None,\n w=None,\n v=None,\n ):\n \"\"\"\n Given a certain (m,n,k)-triplet, GPU properties and autotuning properties, return a list of all possible\n kernel parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n # Parameter space:\n params = []\n for minblocks_ in (\n range(1, gpu[\"Thread_Blocks_/_Multiprocessor\"] + 1)\n if minblocks is None\n else [minblocks]\n ):\n for grouping_ in (\n range(2, 32 + 1, 1) if grouping is None else [grouping]\n ): # heuristic: never seen optimal=1 hence start from 2\n for tm in (\n range(1, min(12, m) + 1) if tile_m is None else [tile_m]\n ): # heuristic: the optimal tile_m is never above 12\n for tn in (\n range(1, min(12, n) + 1) if tile_n is None else [tile_n]\n ): # heuristic: the optimal tile_n is never above 12\n if tm * tn > 16:\n continue # heuristic: performance decreases for very large tiles\n\n # Number of tiled columns, rows\n cmax = (n + tn - 1) // tn\n rmax = (m + tm - 1) // tm\n\n # Minimum number of threads required to have one thread per tile\n min_threads = cmax * rmax\n\n # Max work (\"operations\") which can be run concurrently\n max_concurrent_work = max(\n grouping_, m * k, k * n, m * n, min_threads\n )\n\n # Shared memory buffer size\n buf_sz = max(m * n, m * k + k * tn * cmax, tm * rmax * k + 1)\n smem_tot = (\n buf_sz * autotuning[\"sizeof_double\"]\n + autotuning[\"npars\"] * grouping_ * autotuning[\"sizeof_int\"]\n )\n if smem_tot > gpu[\"Max_Shared_Memory_/_Block_(bytes)\"]:\n continue\n if (\n smem_tot * minblocks_\n > gpu[\"Shared_Memory_/_Multiprocessor_(bytes)\"]\n ):\n continue\n\n # Use all concurrency available: fill warps\n for threads_ in (\n range(\n gpu[\"Threads_/_Warp\"],\n gpu[\"Max_Thread_Block_Size\"] + 1,\n gpu[\"Threads_/_Warp\"],\n )\n if threads is None\n else [threads]\n ):\n if threads_ > round_up_to_nearest_multiple(\n max_concurrent_work, gpu[\"Threads_/_Warp\"]\n ):\n continue # soft: too much concurrency harms performance\n if threads_ * minblocks_ > gpu[\"Threads_/_Multiprocessor\"]:\n continue\n if threads_ < min_threads:\n continue\n\n params.append(\n {\n \"m\": m,\n \"n\": n,\n \"k\": k,\n \"tile_m\": tm,\n \"tile_n\": tn,\n \"threads\": threads_,\n \"grouping\": grouping_,\n \"minblocks\": minblocks_,\n }\n )\n return params\n\n @staticmethod\n def baseline(m, n, k, gpu, autotuning):\n \"\"\"\n Given an (m, n, k)-triplet and GPu and autotuning properties, return a set of parameters corresponding to a\n baseline (\"educated guess\") of the kernel's optimal parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n grp = 16\n minblk = 2\n tm = 2\n tn = 2\n cmax = (n + tn - 1) // tn\n rmax = (m + tm - 1) // tm\n min_threads = cmax * rmax\n\n base = {\n \"threads\": round_up_to_nearest_multiple(min_threads, 32),\n \"grouping\": grp,\n \"minblocks\": minblk,\n \"tile_m\": tn,\n \"tile_n\": tn,\n \"w\": float(\"nan\"),\n \"v\": float(\"nan\"),\n }\n\n if (\n len(Kernel_dnt_small.promising_parameters(m, n, k, gpu, autotuning, **base))\n > 0\n ):\n base = Kernel_dnt_small.promising_parameters(m, n, k, gpu, autotuning)[0]\n base.update(\n dict(\n [\n (\"tile_m\", float(\"nan\")),\n (\"tile_n\", float(\"nan\")),\n (\"w\", float(\"nan\")),\n (\"v\", float(\"nan\")),\n ]\n )\n )\n\n base.update(\n dict(\n [\n (\"m\", m),\n (\"n\", n),\n (\"k\", k),\n (\"algorithm\", \"small\"),\n (\"perf\", 0),\n (\"source\", \"predicted\"),\n ]\n )\n )\n return base\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_tiny.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************/\n/* Authors: Peter Messmer , */\n/* Nikolay Markovskiy */\n/* Simplified, cleanup & refacture: Based on 'cusmm_dnt_tiny.h' */\n/* Andreas Gloess */\n/* */\n/*****************************************************************************/\n\n#include \"smm_acc_common.h\"\n\n/*\n * Execution configuration:\n * gridDim.x = (stack_size + (grouping-1))/grouping\n * blockIdx.x = {0, ..., gridDim.x-1}\n * blockDim.x = threads\n * threadIdx.x = {0, ..., threads-1}\n\n * Execute sparse matrix-matrix multiplication C += A*B\n * according to a stack parameter list, decomposed into mutliple block\n * multiplications c_block += a_block * b_block\n * c_block, dimension (m x n)\n * a_block, dimension (m x k)\n * b_block, dimension (k x n)\n\n * Template parameters\n * --- m, n, k: triplet of integers characterising the block multiplication dimensions\n * --- threads: number of CUDA threads (in HIP linguo, \"work items\") this kernel is run with\n * --- grouping: number of stack parameter entries to process per thread block\n * --- minblocks: the desired minimum number of resident blocks (in HIP linguo, \"workgroup\") per multiprocessor (in HIP linguo, \"compute units\") (used in __launch_bounds__)\n\n * Function arguments\n * --- param_stack: parameter stack array (pointers to global memory):\n * array of stack entries (index triplets), indicating which elements of\n * a_data, b_data to multiply and to which element of c_data to add them to\n * --- stack_size: number of entries (3 integer triplets) in param_stack,\n * corresponds to the number of block-matrix multiplications to run in total\n * --- a_data, b_data, c_data (pointers to global memory):\n * arrays containing the values of matrices A, B, C\n\n * Algorithm specificities:\n * - optimized for block matrices that fit entirely into shared memory\n * - each element of c_block is computed by one thread\n * - no overlap between computation and memory loads\n */\ntemplate\n__global__ void __launch_bounds__(threads, minblocks) smm_acc_dnt_tiny(const int* __restrict__ param_stack, int stack_size,\n const double* __restrict__ a_data, const double* __restrict__ b_data, double* c_data) {\n /* Total number of elements in block matrices */\n const int mn = m * n; /* c_block */\n const int mk = m * k; /* a_block */\n const int kn = n * k; /* b_block */\n\n /* Block and thread index */\n const int bidx = blockIdx.x;\n const int tidx = threadIdx.x;\n\n /* Column and row index of the block matrix c_block that this thread will compute\n * Each thread computes exactly one element of block_c */\n const int c = tidx / m;\n const int r = tidx - c * m;\n\n /* Number of parameters per stack entry in parameter stack */\n const int npar = 3;\n\n /* If multiple warps (in HIP linguo, \"wavefronts\") are running a single block multiplication,\n * synchronization is needed */\n const bool need_sync = (mn > warpSize || mk > warpSize || kn > warpSize || threads > warpSize);\n\n /* psp: parameter stack position:\n * index in the parameter stack of the first parameter stack entry to be processed by this thread\n * nrun: number of runs: number of stack entries to process in this thread */\n int psp, nrun;\n\n /* Partial sum of the element of block_c that this thread will compute */\n double myc;\n\n /* Arrays in shared memory\n * (common to all threads in a thread block, but different from thread-block to thread-block):\n * param_stack_s: shared memory buffer containing the stack entries this thread should process\n * number of stack entries in param_stack_s = grouping,\n * number of integers per stack entry: 3 */\n __shared__ int param_stack_s[npar * grouping];\n /* buff_a, buff_b: shared memory buffer containing a_block (block submatrix of A),\n * resp. b_block to multiply */\n __shared__ double buff_a[mk];\n __shared__ double buff_b[kn];\n\n /* Set the number of runs (i.e. how many stack entries to process in this thread)\n * If the current block is the last block, set the number of stack entries to process in\n * this thread to the remainder of stack_size / grouping */\n nrun = grouping;\n if (((bidx + 1) * grouping) > stack_size) nrun = stack_size % grouping;\n\n /* Set the partial sum to zero */\n myc = 0.0;\n\n /* Load and pack stack data for current block from global memory into shared memory\n * Get parameter stack entries from index \"psp\" to \"psp + (nrun-1)*npar + 2\"\n * Each triplet indicates the beginning of a submatrix to multiply */\n psp = bidx * npar * grouping;\n#pragma unroll\n for (int i = tidx; i < nrun; i += threads) {\n // param_stack is 1-based, convert to 0-based here\n param_stack_s[i * npar] = __ldg(¶m_stack[psp + i * npar]) - 1; /* value = index in a_data */\n param_stack_s[i * npar + 1] = __ldg(¶m_stack[psp + i * npar + 1]) - 1; /* value = index in b_data */\n param_stack_s[i * npar + 2] = __ldg(¶m_stack[psp + i * npar + 2]) - 1; /* value = index in c_data */\n }\n\n /* Wait until all the data has been loaded */\n if (need_sync) syncthreads();\n\n /* In each run, we process one stack entry from param_stack_s */\n for (int run = 0; run < nrun; run++) {\n /* Parameter stack position: index in shared memory buffers to read from */\n psp = npar * run;\n\n /* Index in a_data, b_data and c_data arrays\n * indicating where to fetch resp. write back matrix elements for this run\n * srcA, B, C corresponding to the starting indices of block submatrices to multiply */\n int srcA = param_stack_s[psp];\n int srcB = param_stack_s[psp + 1];\n int srcC = param_stack_s[psp + 2];\n\n /* Load block matrices a_block and b_block for current block and stack from global memory into shared memory\n * (no overlap between computation and loading)\n * once an element s loaded into shared memory, it is available for all threads of the thread block to use */\n if (m == n) {\n#pragma unroll\n for (int i = tidx; i < mk; i += threads) {\n buff_a[i] = __ldg(&a_data[srcA + i]);\n buff_b[i] = __ldg(&b_data[srcB + i]);\n }\n }\n else {\n#pragma unroll\n for (int i = tidx; i < mk; i += threads) {\n buff_a[i] = __ldg(&a_data[srcA + i]);\n }\n#pragma unroll\n for (int i = tidx; i < kn; i += threads) {\n buff_b[i] = __ldg(&b_data[srcB + i]);\n }\n }\n\n /* Wait until all the data has been loaded */\n if (need_sync) syncthreads();\n\n if (tidx < mn) {\n /* Compute c_ij = sum_k (a_ik * b_kj) in shared memory */\n#pragma unroll\n for (int l = 0; l < k; l++) {\n myc += buff_a[l * m + r] * buff_b[l * n + c];\n }\n /* Store result in global memory without conflicting with other concurrent writes */\n atomicAdd(&c_data[srcC + tidx], myc);\n myc = 0.0;\n }\n\n if (need_sync) syncthreads();\n }\n}\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_dnt_tiny.py", "content": "# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nfrom kernels.smm_acc_dnt_base import Kernel\n\n\nclass Kernel_dnt_tiny(Kernel):\n algorithm = \"tiny\"\n algorithm_num = 5\n launch_parameters = [\"m\", \"n\", \"k\", \"threads\", \"grouping\", \"minblocks\"]\n\n def __init__(self, m, n, k, threads, grouping, minblocks, perf, source):\n self.m = m\n self.n = n\n self.k = k\n self.threads = threads\n self.grouping = grouping\n self.minblocks = minblocks\n self.perf = perf\n self.source = source\n assert self.m * self.n <= self.threads\n\n @property\n def func_signature(self):\n return \"smm_acc_dnt_tiny< {m}, {n}, {k}, {threads}, {grouping}, {minblocks} >;\\n\".format(\n **self.__dict__\n )\n\n @staticmethod\n def promising_parameters(\n m,\n n,\n k,\n gpu,\n autotuning,\n threads=None,\n grouping=None,\n minblocks=None,\n tile_m=None,\n tile_n=None,\n w=None,\n v=None,\n ):\n \"\"\"\n Given a certain (m,n,k)-triplet, GPU properties and autotuning properties, return a list of all possible\n kernel parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n # Shared memory buffer size\n buf_sz = k * (\n m + n\n ) # number of elements in the a_block buffer = mk, and in the b_block buffer = kn\n\n # Minimum number of threads required to cover the result matrix c\n min_threads = m * n\n\n # Parameter space:\n params = []\n for minblocks_ in (\n range(1, gpu[\"Thread_Blocks_/_Multiprocessor\"] + 1)\n if minblocks is None\n else [minblocks]\n ):\n # heuristic: never seen optimal=1 hence start from 2\n for grouping_ in range(2, 32 + 1, 1) if grouping is None else [grouping]:\n # Max work (\"operations\") which can be run concurrently\n max_concurrent_work = max(grouping_, m * k, k * n, m * n)\n\n # Shared memory utilisation (bytes)\n smem_tot = (\n buf_sz * autotuning[\"sizeof_double\"]\n + autotuning[\"npars\"] * grouping_ * autotuning[\"sizeof_int\"]\n )\n if smem_tot > gpu[\"Max_Shared_Memory_/_Block_(bytes)\"]:\n continue\n if smem_tot * minblocks_ > gpu[\"Max_Shared_Memory_/_Block_(bytes)\"]:\n continue\n\n # Use all concurrency available: fill warps\n for threads_ in (\n range(\n gpu[\"Threads_/_Warp\"],\n gpu[\"Max_Thread_Block_Size\"] + 1,\n gpu[\"Threads_/_Warp\"],\n )\n if threads is None\n else [threads]\n ):\n if threads_ > round_up_to_nearest_multiple(\n max_concurrent_work, gpu[\"Threads_/_Warp\"]\n ):\n continue # soft: too much concurrency harms performance\n if threads_ * minblocks_ > gpu[\"Threads_/_Multiprocessor\"]:\n continue\n if threads_ < min_threads:\n continue\n\n params.append(\n {\n \"m\": m,\n \"n\": n,\n \"k\": k,\n \"threads\": threads_,\n \"grouping\": grouping_,\n \"minblocks\": minblocks_,\n }\n )\n return params\n\n @staticmethod\n def baseline(m, n, k, gpu, autotuning):\n \"\"\"\n Given an (m, n, k)-triplet and GPu and autotuning properties, return a set of parameters corresponding to a\n baseline (\"educated guess\") of the kernel's optimal parameters\n \"\"\"\n from kernels.smm_acc_dnt_base import round_up_to_nearest_multiple\n\n grp = 16\n minblk = 2\n min_threads = m * n\n\n base = {\n \"threads\": round_up_to_nearest_multiple(min_threads, 32),\n \"grouping\": grp,\n \"minblocks\": minblk,\n \"tile_m\": float(\"nan\"),\n \"tile_n\": float(\"nan\"),\n \"w\": float(\"nan\"),\n \"v\": float(\"nan\"),\n }\n\n if (\n len(Kernel_dnt_tiny.promising_parameters(m, n, k, gpu, autotuning, **base))\n > 0\n ):\n base = Kernel_dnt_tiny.promising_parameters(m, n, k, gpu, autotuning)[0]\n base.update(\n dict(\n [\n (\"tile_m\", float(\"nan\")),\n (\"tile_n\", float(\"nan\")),\n (\"w\", float(\"nan\")),\n (\"v\", float(\"nan\")),\n ]\n )\n )\n\n base.update(\n dict(\n [\n (\"m\", m),\n (\"n\", n),\n (\"k\", k),\n (\"algorithm\", \"tiny\"),\n (\"perf\", 0),\n (\"source\", \"predicted\"),\n ]\n )\n )\n return base\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_predict.py", "content": "####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport numpy as np\n\nfrom kernels.smm_acc import ( # noqa: F401\n kernel_algorithm,\n gpu_architectures,\n params_dict_to_kernel,\n compatible_mnk,\n)\n\n# ===============================================================================\n# Lists of derived parameters to use as training data for the predictive modelling\n# Some of the computable features are commented out because they are constant or (almost) linearly dependent on another\n# feature, and therefore they do not contribute to the decision tree model.\nraw_parameters = [\n \"m\",\n \"n\",\n \"k\",\n \"threads_per_blk\",\n \"grouping\",\n \"minblocks\",\n \"tile_m\",\n \"tile_n\",\n \"w\",\n \"v\",\n \"perf (Gflop/s)\",\n]\nderived_parameters = {\n \"common\": [\n \"perf_scaled\",\n # 'Gflops', # linearly dependent on mxnxk\n \"mxnxk\",\n \"size_a\",\n \"size_b\",\n \"size_c\",\n # 'nblks', 'nthreads', # constant value for largeDB, since the grouping is always = 16\n \"sm_desired\",\n # 'warps_per_blk', 'nwarps', # linearly dependent on threads, nthreads\n # 'ru_param_stack_unroll_factor', # constant values for each algo\n ],\n \"tiny\": [\n \"nblks\",\n \"nthreads\",\n # tiny, small, medium: resource occupation\n \"ru_tinysmallmed_unroll_factor_a\",\n \"ru_tinysmallmed_unroll_factor_a_total\",\n \"ru_tinysmallmed_unroll_factor_b\",\n \"ru_tinysmallmed_unroll_factor_b_total\",\n \"ru_tinysmallmed_unroll_factor_c_total\",\n # tiny: resource occupation\n \"ru_tiny_max_parallel_work\",\n \"ru_tiny_smem_per_block\",\n # 'ru_tiny_min_threads', # equal to size_c\n # 'ru_tiny_nblks_per_sm', # always = 32, so also removing: 'ru_tiny_nwarps_per_sm', 'ru_tiny_occupancy'\n \"ru_tiny_nsm\", # 'ru_tiny_ngpu', # highly correlated with ru_tiny_n_sm\n # tiny: performance counter estimations based on:\n # Kothapalli, Kishore & Mukherjee, Rishabh & Rehman, M & Patidar, Suryakant & J. Narayanan, P & Srinathan, Kannan. 2009\n # A performance prediction model for the CUDA GPGPU platform. 16th International Conference onHigh Performance Computing\n # HiPC 2009 - Proceedings. 463-472. 10.1109/HIPC.2009.5433179.\n \"tiny_estimate_Nmem\",\n \"tiny_estimate_perf\",\n ],\n \"small\": [\n \"nblks\",\n \"nthreads\",\n # tiny, small, medium: resource occupation\n \"ru_tinysmallmed_unroll_factor_a\",\n \"ru_tinysmallmed_unroll_factor_a_total\",\n \"ru_tinysmallmed_unroll_factor_b\",\n \"ru_tinysmallmed_unroll_factor_b_total\",\n \"ru_tinysmallmed_unroll_factor_c_total\",\n # small, medium: resource occupation\n \"ru_smallmed_unroll_factor_c\",\n \"ru_smallmed_loop_matmul\",\n \"ru_smallmed_max_parallel_work\",\n # 'ru_smallmed_buf_size', # highly correlated with ru_smallmed_smem_per_block\n \"ru_smallmed_smem_per_block\",\n \"ru_smallmed_regs_per_thread\",\n # small, medium, large: resource occupation\n \"ru_smallmedlarge_cmax\",\n \"ru_smallmedlarge_rmax\",\n \"ru_smallmedlarge_T\",\n \"ru_smallmedlarge_min_threads\",\n ],\n \"medium\": [\n \"nblks\",\n \"nthreads\",\n # tiny, small, medium: resource occupation\n \"ru_tinysmallmed_unroll_factor_a\",\n \"ru_tinysmallmed_unroll_factor_a_total\",\n \"ru_tinysmallmed_unroll_factor_b\",\n \"ru_tinysmallmed_unroll_factor_b_total\",\n \"ru_tinysmallmed_unroll_factor_c_total\",\n # medium: resource occupation\n # 'load_unroll_factor_1', 'load_unroll_factor_2', # highly correlated with ru_tinysmallmed_unroll_factor_a,b\n # 'n_mkloads', 'n_knloads', # constant value\n # small, medium: resource occupation\n \"ru_smallmed_unroll_factor_c\",\n \"ru_smallmed_loop_matmul\",\n \"ru_smallmed_max_parallel_work\",\n # 'ru_smallmed_buf_size', # highly correlated with ru_smallmed_smem_per_block\n \"ru_smallmed_smem_per_block\",\n \"ru_smallmed_regs_per_thread\",\n # small, medium, large: resource occupation\n \"ru_smallmedlarge_cmax\",\n \"ru_smallmedlarge_rmax\",\n \"ru_smallmedlarge_T\",\n \"ru_smallmedlarge_min_threads\",\n ],\n \"largeDB1\": [\n # largeDB: resource occupation\n \"ru_large_Pa\",\n \"ru_large_Pb\",\n \"ru_large_unroll_factor_a\",\n \"ru_large_unroll_factor_b\",\n \"ru_large_unroll_factor_c\",\n \"ru_large_loop_matmul\",\n \"ru_large_max_concurrent_work\",\n \"ru_large_n_DB_iter\",\n \"ru_large_regs_per_thread\",\n # 'ru_large_buf_size', # highly correlated with ru_large_smem_per_block\n \"ru_large_smem_per_block\",\n # small, medium, large: resource occupation\n \"ru_smallmedlarge_cmax\",\n \"ru_smallmedlarge_rmax\",\n \"ru_smallmedlarge_T\",\n \"ru_smallmedlarge_min_threads\",\n ],\n \"largeDB2\": [\n # largeDB: resource occupation\n \"ru_large_Pa\",\n \"ru_large_Pb\",\n \"ru_large_unroll_factor_a\",\n \"ru_large_unroll_factor_b\",\n \"ru_large_unroll_factor_c\",\n \"ru_large_loop_matmul\",\n \"ru_large_max_concurrent_work\",\n \"ru_large_n_DB_iter\",\n \"ru_large_regs_per_thread\",\n # 'ru_large_buf_size', # highly correlated with ru_large_smem_per_block\n \"ru_large_smem_per_block\",\n # small, medium, large: resource occupation\n \"ru_smallmedlarge_cmax\",\n \"ru_smallmedlarge_rmax\",\n \"ru_smallmedlarge_T\",\n \"ru_smallmedlarge_min_threads\",\n ],\n}\n\n\n# ===============================================================================\ndef get_max_performances_per_mnk(data):\n \"\"\"\n data: pandas DataFrame containing columns \"m\", \"n\", \"k\", \"perf (Gflop/s)\"\n Construct dictionary:\n keys: (m, n, k)-tuple,\n values: maximum performance found in this data chunk for this given (m, n, k)\n \"\"\"\n # Get list of different (m, n, k)s occurring in this chunk of data\n data[\"mnk_\"] = list(zip(data[\"m\"], data[\"n\"], data[\"k\"]))\n mnks = np.unique(data[\"mnk_\"])\n\n # Get max. performance per (m, n, k)\n max_perf = dict()\n\n for mnk in mnks:\n # Get indices corresponding to this mnk\n idx_mnk = np.where(data[\"mnk_\"] == mnk)[0].tolist()\n\n # Get performances per mnk\n perf_mnk_algo = data[\"perf (Gflop/s)\"].values[idx_mnk]\n\n # Store maxperf\n maxperf = float(\n perf_mnk_algo.max(axis=0)\n ) # max. performance found through autotuning\n max_perf[mnk] = maxperf\n\n return max_perf\n\n\n# ===============================================================================\ndef get_baseline_performances_per_mnk(data, algorithm, gpu, autotuning):\n \"\"\"\n data: pandas DataFrame containing columns \"m\", \"n\", \"k\", \"perf (Gflop/s)\"\n algorithm: algorithm for which to get the baseline performance\n gpu: gpu properties\n autotuning: autotuning properties\n Construct dictionary:\n keys: (m, n, k)-tuple,\n values: baseline performance for this given (m, n, k) and the given algorithm\n \"\"\"\n\n # Get list of different (m, n, k)s occurring in this instance\n data[\"mnk_\"] = list(zip(data[\"m\"], data[\"n\"], data[\"k\"]))\n mnks = np.unique(data[\"mnk_\"])\n\n # Get baseline performance per (m, n, k)\n baseline_perf = dict()\n\n for mnk in mnks:\n m, n, k = mnk\n\n baseline_pars = kernel_algorithm[algorithm].baseline(m, n, k, gpu, autotuning)\n\n # Look for this configuration in the data.\n # If found, save it. Otherwise, skip: it must be in a different data chunk\n if algorithm == \"tiny\":\n idx_baseline = data[\n (data.m == baseline_pars[\"m\"])\n & (data.n == baseline_pars[\"n\"])\n & (data.k == baseline_pars[\"k\"])\n & (data.threads == baseline_pars[\"threads\"])\n & (data.grouping == baseline_pars[\"grouping\"])\n & (data.minblocks == baseline_pars[\"minblocks\"])\n ].index.tolist()\n elif algorithm in [\"small\", \"medium\"]:\n idx_baseline = data[\n (data.m == baseline_pars[\"m\"])\n & (data.n == baseline_pars[\"n\"])\n & (data.k == baseline_pars[\"k\"])\n & (data.threads == baseline_pars[\"threads\"])\n & (data.grouping == baseline_pars[\"grouping\"])\n & (data.minblocks == baseline_pars[\"minblocks\"])\n & (data.tile_m == baseline_pars[\"tile_m\"])\n & (data.tile_n == baseline_pars[\"tile_n\"])\n ].index.tolist()\n elif algorithm in [\"largeDB1\", \"largeDB2\"]:\n idx_baseline = data[\n (data.m == baseline_pars[\"m\"])\n & (data.n == baseline_pars[\"n\"])\n & (data.k == baseline_pars[\"k\"])\n & (data.threads == baseline_pars[\"threads\"])\n & (data.grouping == baseline_pars[\"grouping\"])\n & (data.minblocks == baseline_pars[\"minblocks\"])\n & (data.tile_m == baseline_pars[\"tile_m\"])\n & (data.tile_n == baseline_pars[\"tile_n\"])\n & (data.w == baseline_pars[\"w\"])\n & (data.v == baseline_pars[\"v\"])\n ].index.tolist()\n else:\n raise AssertionError(f\"Cannot recognize algorithm: {algorithm}\")\n\n if len(idx_baseline) == 1:\n idx_baseline = idx_baseline[0]\n baseline_perf[mnk] = data[\"perf (Gflop/s)\"][idx_baseline]\n elif len(idx_baseline) > 1:\n raise AssertionError(\n \"Found more than one corresponding index: \" + str(idx_baseline)\n )\n else:\n pass # if none were found, they're in another data chunk. Do nothing.\n\n return baseline_perf\n\n\n# ===============================================================================\nclass PredictiveParameters:\n \"\"\"\n Class handling predictive features for the predictive modelling of libsmm_acc's performance\n \"\"\"\n\n def __init__(\n self, params_df, gpu, autotuning, max_performances, partial_initialization=False\n ):\n \"\"\"\n params_df: pandas Dataframe where each row corresponds to a kernel parameter set\n \"\"\"\n assert \"m\" in params_df.columns.values\n assert \"n\" in params_df.columns.values\n assert \"k\" in params_df.columns.values\n self.gpu = gpu # GPU card properties\n self.autotuning = autotuning # autotuning properties\n self.max_performances = max_performances # dictionary of max. performances\n # keys: (m, n, k)-tuple, values: maximum performance\n # found over all algorithms for this given (m, n, k)\n\n if not partial_initialization:\n assert (\n \"threads\" in params_df.columns.values\n ), \"Missing column: threads. Available columns:\\n\" + str(\n params_df.columns.values\n )\n assert (\n \"grouping\" in params_df.columns.values\n ), \"Missing column: grouping. Available columns:\\n\" + str(\n params_df.columns.values\n )\n assert (\n \"minblocks\" in params_df.columns.values\n ), \"Missing column: minblocks. Available columns:\\n\" + str(\n params_df.columns.values\n )\n algos = np.unique(params_df[\"algorithm\"].values)\n assert len(algos) == 1\n algo = algos[0]\n if algo in [\"small\", \"medium\", \"largeDB1\", \"largeDB2\"]:\n assert (\n \"tile_m\" in params_df.columns.values\n ), \"Missing column: tile_m. Available columns:\\n\" + str(\n params_df.columns.values\n )\n assert (\n \"tile_n\" in params_df.columns.values\n ), \"Missing column: tile_n. Available columns:\\n\" + str(\n params_df.columns.values\n )\n if algo in [\"largeDB1\", \"largeDB2\"]:\n assert (\n \"w\" in params_df.columns.values\n ), \"Missing column: w. Available columns:\\n\" + str(\n params_df.columns.values\n )\n assert (\n \"v\" in params_df.columns.values\n ), \"Missing column: v. Available columns:\\n\" + str(\n params_df.columns.values\n )\n\n self.params = params_df\n\n def get(self, feature_name):\n \"\"\"Generic function to compute any feature given by name\"\"\"\n\n if feature_name not in self.params.columns.values:\n if feature_name != \"perf_scaled\": # not vectorizable\n vget = getattr(self, f\"get_{feature_name}\")\n else:\n vget = np.vectorize(getattr(self, f\"get_{feature_name}\"))\n feature_val = vget()\n else:\n feature_val = self.params[feature_name].values\n return feature_val\n\n def get_features(self, feature_names):\n \"\"\"\n Compute a list of features given by name and return them as a pandas Dataframe.\n :param feature_names: list of names of features to compute\n \"\"\"\n for feat in feature_names:\n self.params.loc[:, feat] = self.get(feat)\n return self.params[feature_names]\n\n # ===============================================================================\n # Performances\n def get_perf_scaled(self):\n \"\"\"\n Scale raw performances in [Gflop/s] between 0 and 1, where\n 0 = 0 Gflop/s\n 1 = performance equal to autotuned maximum FOR ALL ALGORITHMS\n :return: numpy array of scaled performances\n \"\"\"\n\n def scale_perf(perf, mnk):\n \"\"\"For a given mnk and a given performance on this mnk, return the scaled performance\"\"\"\n return round(perf / self.max_performances[mnk], 6)\n\n vec_scale_perf = np.vectorize(scale_perf)\n ret = vec_scale_perf(self.get(\"perf (Gflop/s)\"), self.get(\"mnk_string\"))\n return ret\n\n # ===============================================================================\n # Matrix sizes\n def get_size_a(self):\n \"\"\"Size of matrix A (first operand of A * B = C)\"\"\"\n return self.get(\"m\") * self.get(\"k\") # int\n\n def get_size_b(self):\n \"\"\"Size of matrix B (second operand of A * B = C)\"\"\"\n return self.get(\"k\") * self.get(\"n\") # int\n\n def get_size_c(self):\n \"\"\"Size of matrix B (result of of A * B = C)\"\"\"\n return self.get(\"m\") * self.get(\"n\") # int\n\n def get_mnk_string(self):\n \"\"\"Return (m, n, k) as a descriptive string\"\"\"\n return [\n f\"{m}x{n}x{k}\"\n for m, n, k in zip(self.get(\"m\"), self.get(\"n\"), self.get(\"k\"))\n ] # str\n\n def get_mnk(self):\n \"\"\"Return (m, n, k) as a tuple\"\"\"\n return self.get(\"m\"), self.get(\"n\"), self.get(\"k\") # (int, int, int)\n\n def get_mxnxk(self):\n \"\"\"Return the product m*n*k\"\"\"\n return self.get(\"m\") * self.get(\"n\") * self.get(\"k\") # int\n\n # ===============================================================================\n # Launch parameters\n def get_need_sync(self):\n \"\"\"(mn > warp_size || mk > warp_size || kn > warp_size || threads > warp_size)\"\"\"\n return (\n np.where(self.get(\"size_c\") > self.gpu[\"Threads_/_Warp\"], True, False)\n | np.where(self.get(\"size_a\") > self.gpu[\"Threads_/_Warp\"], True, False)\n | np.where(self.get(\"size_b\") > self.gpu[\"Threads_/_Warp\"], True, False)\n | np.where(self.get(\"threads\") > self.gpu[\"Threads_/_Warp\"], True, False)\n ) # bool\n\n def get_nblks(self):\n \"\"\"Number of thread blocks needed to multiply all matrices on the stack\"\"\"\n return np.ceil(self.autotuning[\"stack_size\"] / self.get(\"grouping\")).astype(\n \"int\"\n ) # int\n\n def get_warps_per_blk(self):\n \"\"\"Number of warps per block\"\"\"\n return np.ceil(self.get(\"threads\") / self.gpu[\"Threads_/_Warp\"]).astype(\n \"int\"\n ) # int\n\n def get_nwarps(self):\n \"\"\"Total number of warps needed to multiply all matrices on the stack\"\"\"\n return self.get(\"warps_per_blk\") * self.get(\"nblks\") # int\n\n def get_sm_desired(self):\n \"\"\"\n Number of multiprocessors desired to multiply all matrices on the stack.\n For more details, see https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#launch-bounds\n \"\"\"\n return np.ceil(self.get(\"nblks\") / self.get(\"minblocks\")).astype(\"int\") # int\n\n def get_threads_per_blk(self):\n \"\"\"Number of threads per block. Sometimes named 'threads', sometimes 'threads_per_blk'\"\"\"\n return self.get(\"threads\") # int\n\n def get_nthreads(self):\n \"\"\"Total number of threads needed to multiply all matrices on the stack\"\"\"\n return self.get(\"threads\") * self.get(\"nblks\") # int\n\n # ===============================================================================\n # Resource usage (common)\n def get_ru_param_stack_unroll_factor(self):\n \"\"\"Number of executions of the body of the loop that loads data from the parameter stack\"\"\"\n return np.ceil(self.get(\"grouping\") / self.get(\"threads\")).astype(\"int\") # int\n\n def get_n_iter(self):\n \"\"\"\n Number of benchmark repetitions in autotuning procedure.\n Corresponds to the variable `n_iter` in function `libcusmm_benchmark` in file `libcusmm_benchmark.cu`\n \"\"\"\n return np.maximum(\n 3, (12500 // (self.get(\"m\") * self.get(\"n\") * self.get(\"k\")))\n ) # int\n\n def get_Gflops(self):\n \"\"\"Number of floating point operations in [Gflops] carried out during autotuning\"\"\"\n return (\n self.get(\"n_iter\")\n * self.autotuning[\"stack_size\"]\n * self.get(\"m\")\n * self.get(\"n\")\n * self.get(\"k\")\n * 2\n * 10 ** (-9)\n ) # float\n\n # ===============================================================================\n # Resource occupancy estimations\n def get_nblocks_per_sm_lim_blks_warps(self):\n \"\"\"Resource occupations in terms of warps and blocks (Follows CUDA calculator sheet)\"\"\"\n return np.minimum(\n self.gpu[\"Thread_Blocks_/_Multiprocessor\"],\n np.floor(self.gpu[\"Warps_/_Multiprocessor\"] / self.get(\"warps_per_blk\")),\n ) # int\n\n # ===============================================================================\n # Resource usage (tiny, small, medium)\n def get_ru_tinysmallmed_unroll_factor_a(self):\n \"\"\"loop unroll factor of the loop on m*k\"\"\"\n return np.ceil(self.get(\"size_a\") / self.get(\"threads\")).astype(\"int\") # int\n\n def get_ru_tinysmallmed_unroll_factor_b(self):\n \"\"\"loop unroll factor of the loop on k*m\"\"\"\n return np.ceil(self.get(\"size_b\") / self.get(\"threads\")).astype(\"int\") # int\n\n def get_ru_tinysmallmed_unroll_factor_a_total(self):\n \"\"\"loop unroll factor multiplied by number of times the loop is run\"\"\"\n return self.get(\"ru_tinysmallmed_unroll_factor_a\") * self.get(\"grouping\") # int\n\n def get_ru_tinysmallmed_unroll_factor_b_total(self):\n \"\"\"loop unroll factor multiplied by number of times the loop is run\"\"\"\n return self.get(\"ru_tinysmallmed_unroll_factor_b\") * self.get(\"grouping\") # int\n\n def get_ru_tinysmallmed_unroll_factor_c_total(self):\n \"\"\"loop unroll factor of the loop writing back to C multiplied by number of times the loop is run\"\"\"\n return self.get(\"k\") * self.get(\"grouping\") # int\n\n # ===============================================================================\n # Resource usage (tiny)\n def get_ru_tiny_max_parallel_work(self):\n \"\"\"Total number of iterations in each loop\"\"\"\n return np.maximum.reduce(\n [\n self.get(\"grouping\"),\n self.get(\"size_a\"),\n self.get(\"size_b\"),\n self.get(\"size_c\"),\n ]\n ) # int\n\n def get_ru_tiny_min_threads(self):\n \"\"\"Minimum number of threads required to run the kernel and produce correct results\"\"\"\n return self.get(\"size_c\") # int\n\n def get_ru_tiny_buf_size(self):\n \"\"\"Buffer size\"\"\"\n return self.get(\"k\") * (self.get(\"m\") + self.get(\"n\")) # int\n\n def get_ru_tiny_smem_per_block(self):\n \"\"\"Shared memory usage per block (estimate)\"\"\"\n return (self.get(\"ru_tiny_buf_size\") * self.autotuning[\"sizeof_double\"]) + (\n self.autotuning[\"npars\"]\n * self.get(\"grouping\")\n * self.autotuning[\"sizeof_int\"]\n ) # int\n\n def get_ru_tiny_nblks_per_sm(self):\n \"\"\"\n Occupancy estimation: assumption (verified on a sample of mnks): nblks is always limited by number of threads\n for algorithm tiny\n \"\"\"\n return self.get(\"nblocks_per_sm_lim_blks_warps\") # int\n\n def get_ru_tiny_nwarps_per_sm(self):\n \"\"\"Number of wars per multiprocessor\"\"\"\n return self.get(\"ru_tiny_nblks_per_sm\") * self.get(\"warps_per_blk\") # int\n\n def get_ru_tiny_nsm(self):\n \"\"\"Number of multiprocessors\"\"\"\n return np.ceil(self.get(\"nblks\") / self.get(\"ru_tiny_nblks_per_sm\")).astype(\n \"int\"\n ) # int\n\n def get_ru_tiny_ngpu(self):\n \"\"\"Number of GPUs\"\"\"\n return np.ceil(self.get(\"ru_tiny_nsm\") / self.gpu[\"Multiprocessors\"]).astype(\n \"int\"\n ) # int\n\n def get_ru_tiny_occupancy(self):\n return (\n self.get(\"ru_tiny_nwarps_per_sm\") / self.gpu[\"Warps_/_Multiprocessor\"]\n ) # float\n\n def get_tiny_estimate_Nmem_shared(self):\n \"\"\"\n Estimation of the number of cycles required for all the shared memory accesses by a thread,\n based on Kothapalli et al., \"A performance prediction model for the CUDA GPGPU platform\"\n \"\"\"\n return 3 * self.get(\"grouping\") + self.get(\"grouping\") * (\n 3\n + self.get(\"ru_tinysmallmed_unroll_factor_a\")\n + self.get(\"ru_tinysmallmed_unroll_factor_b\")\n + 2 * self.get(\"k\")\n ) # int\n\n def get_tiny_estimate_Nmem_global(self):\n \"\"\"\n Estimation of the number of cycles required for all the global memory accesses by a thread,\n based on Kothapalli et al., \"A performance prediction model for the CUDA GPGPU platform\"\n \"\"\"\n return 3 * self.get(\"grouping\") + self.get(\"grouping\") * (\n self.get(\"ru_tinysmallmed_unroll_factor_a\")\n + self.get(\"ru_tinysmallmed_unroll_factor_b\")\n ) # int\n\n def get_tiny_estimate_Nmem(self):\n \"\"\"\n Estimation of the number of cycles required for all the memory accesses (shared and global) by a thread,\n based on Kothapalli et al., \"A performance prediction model for the CUDA GPGPU platform\"\n \"\"\"\n return self.gpu[\"Global_memory_access_latency\"] * self.get(\n \"tiny_estimate_Nmem_global\"\n ) + self.gpu[\"Shared_memory_access_latency\"] * self.get(\n \"tiny_estimate_Nmem_shared\"\n )\n # int\n\n def get_tiny_estimate_perf(self):\n \"\"\"\n Estimation of the kernel's performance,\n based on Kothapalli et al., \"A performance prediction model for the CUDA GPGPU platform\"\n \"\"\"\n c_K = self.get(\"nblks\") * self.get(\"threads\") * self.get(\"tiny_estimate_Nmem\")\n return (\n self.get(\"Gflops\") / c_K\n ) # ignore clock rate since it is a constant factor\n # float\n\n # ===============================================================================\n # Resource usage (small, medium, large)\n def get_ru_smallmedlarge_cmax(self):\n return np.ceil(self.get(\"n\") / self.get(\"tile_n\")).astype(\"int\") # int\n\n def get_ru_smallmedlarge_rmax(self):\n return np.ceil(self.get(\"m\") / self.get(\"tile_m\")).astype(\"int\") # int\n\n def get_ru_smallmedlarge_T(self):\n return self.get(\"tile_m\") * self.get(\"tile_n\") # int\n\n def get_ru_smallmedlarge_min_threads(self):\n return self.get(\"ru_smallmedlarge_cmax\") * self.get(\n \"ru_smallmedlarge_rmax\"\n ) # int\n\n # ===============================================================================\n # Resource usage estimation and loop counts (small, medium)\n def get_ru_smallmed_tm_max(self):\n return self.get(\"m\") # int\n\n def get_ru_smallmed_tn_max(self):\n return self.get(\"n\") # int\n\n def get_ru_smallmed_unroll_factor_c(self):\n \"\"\"loop unroll factor of the loop on m*n\"\"\"\n return np.ceil(self.get(\"size_c\") / self.get(\"threads\")).astype(\"int\") # int\n\n def get_ru_smallmed_loop_matmul(self):\n \"\"\"Actual multiplication loop\"\"\"\n return self.get(\"k\") * self.get(\"tile_m\") * self.get(\"tile_n\") # int\n\n def get_ru_smallmed_max_parallel_work(self):\n \"\"\"Maximum parallel work\"\"\"\n return np.maximum.reduce(\n [\n self.get(\"grouping\"),\n self.get(\"size_a\"),\n self.get(\"size_b\"),\n self.get(\"size_c\"),\n self.get(\"ru_smallmedlarge_min_threads\"),\n ] # int\n )\n\n def get_ru_smallmed_buf_size(self):\n \"\"\"Buffer size\"\"\"\n intermediate1 = self.get(\"size_a\") + self.get(\"k\") * self.get(\n \"tile_n\"\n ) * self.get(\"ru_smallmedlarge_cmax\")\n intermediate2 = (\n self.get(\"tile_m\") * self.get(\"ru_smallmedlarge_rmax\") * self.get(\"k\") + 1\n )\n return np.maximum.reduce(\n [self.get(\"size_c\"), intermediate1, intermediate2]\n ) # int\n\n def get_ru_smallmed_smem_per_block(self):\n \"\"\"Shared memory usage per block\"\"\"\n return (self.get(\"ru_smallmed_buf_size\") * self.autotuning[\"sizeof_double\"]) + (\n self.autotuning[\"npars\"]\n * self.get(\"grouping\")\n * self.autotuning[\"sizeof_int\"]\n ) # int\n\n def get_ru_smallmed_regs_per_thread(self):\n \"\"\"Register usage per thread (estimated)\"\"\"\n return (\n self.get(\"tile_m\") * self.get(\"tile_n\")\n + (self.get(\"m\") * self.get(\"k\") + self.get(\"threads\") - 1)\n // self.get(\"threads\")\n + (self.get(\"k\") * self.get(\"n\") + self.get(\"threads\") - 1)\n // self.get(\"threads\")\n ) # int\n\n # ===============================================================================\n # Resource usage (medium)\n # Loop bounds\n def get_load_unroll_factor_1(self):\n return self.get(\"size_a\") // self.get(\"threads\") + 1 # int\n\n def get_load_unroll_factor_2(self):\n return self.get(\"size_b\") // self.get(\"threads\") + 1 # int\n\n def get_n_mkloads(self):\n return self.get(\"size_a\") // (\n self.get(\"load_unroll_factor_1\") * self.get(\"threads\")\n ) # int\n\n def get_n_knloads(self):\n return self.get(\"size_b\") // (\n self.get(\"load_unroll_factor_2\") * self.get(\"threads\")\n ) # int\n\n # ===============================================================================\n # Resource usage (large)\n def get_ru_large_Pa(self):\n \"\"\"Input slab size\"\"\"\n return self.get(\"m\") * self.get(\"w\") # int\n\n def get_ru_large_Pb(self):\n \"\"\"Input slab size\"\"\"\n return self.get(\"w\") * self.get(\"n\") # int\n\n def get_ru_large_Pc(self):\n \"\"\"Output slab size\"\"\"\n return self.get(\"m\") * self.get(\"v\") # int\n\n def get_ru_large_unroll_factor_a(self):\n return np.ceil(self.get(\"ru_large_Pa\") / self.get(\"threads\")).astype(\n \"int\"\n ) # int\n\n def get_ru_large_unroll_factor_b(self):\n return np.ceil(self.get(\"ru_large_Pb\") / self.get(\"threads\")).astype(\n \"int\"\n ) # int\n\n def get_ru_large_unroll_factor_c(self):\n return np.ceil(self.get(\"ru_large_Pc\") / self.get(\"threads\")).astype(\n \"int\"\n ) # int\n\n def get_ru_large_loop_matmul(self):\n return self.get(\"w\") * self.get(\"tile_m\") * self.get(\"tile_n\") # int\n\n def get_ru_large_max_concurrent_work(self):\n \"\"\"Maximum concurrent work\"\"\"\n return np.maximum.reduce(\n [\n self.get(\"grouping\"),\n self.get(\"ru_large_Pa\"),\n self.get(\"ru_large_Pb\"),\n self.get(\"ru_large_Pc\"),\n self.get(\"ru_smallmedlarge_T\"),\n ]\n ) # int\n\n def get_ru_large_regs_per_thread(self):\n \"\"\"Register usage per thread (estimated)\"\"\"\n return (\n self.get(\"tile_m\") * self.get(\"tile_n\")\n + (self.get(\"w\") * self.get(\"m\") + self.get(\"threads\") - 1)\n // self.get(\"threads\")\n + (self.get(\"w\") * self.get(\"n\") + self.get(\"threads\") - 1)\n // self.get(\"threads\")\n ) # int\n\n def get_ru_large_n_DB_iter(self):\n \"\"\"Number of double-buffering iterations\"\"\"\n return self.get(\"k\") // (2 * self.get(\"w\")) # int\n\n def get_ru_large_buf_size(self):\n \"\"\"Buffer size\"\"\"\n intermediate1 = (self.get(\"w\") - 1) * self.get(\"m\") + self.get(\n \"ru_smallmedlarge_rmax\"\n ) * self.get(\"tile_m\")\n intermediate2 = (\n self.get(\"m\") * self.get(\"w\")\n + (self.get(\"w\") - 1) * self.get(\"n\")\n + self.get(\"ru_smallmedlarge_cmax\") * self.get(\"tile_n\")\n )\n return np.maximum.reduce(\n [self.get(\"ru_large_Pc\"), intermediate1, intermediate2]\n ) # int\n\n def get_ru_large_smem_per_block(self):\n \"\"\"Shared memory usage per block\"\"\"\n return (\n self.get(\"ru_large_buf_size\") * self.autotuning[\"sizeof_double\"]\n + self.autotuning[\"npars\"]\n * self.get(\"grouping\")\n * self.autotuning[\"sizeof_int\"]\n ) # int\n" }, { "path": "src/acc/libsmm_acc/kernels/smm_acc_transpose.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n/*****************************************************************************\n * Authors: Peter Messmer , *\n * Nikolay Markovskiy *\n *****************************************************************************/\n\n#include \"smm_acc_common.h\"\n\n/*\n * Execution configuration:\n * gridDim.x = number of matrix blocks in this batched matrix transpose\n * = length of the batched transpose stack\n * blockIdx.x = {0, ..., gridDim.x-1}\n * blockDim.x = 128 or the smallest multiple of warp_size larger or equal to m*n\n * threadIdx.x = {0, ..., blockDim.x-1}\n\n * Execute batched matrix transpose in place\n\n * Template parameters\n * --- m, n: pair of integers characterising the dimensions of the matrix to transpose\n\n * Function arguments\n * --- trs_stack: transpose stack (pointer to global memory):\n * array of stack entries (indices), indicating where each matrix to transpose starts in the \"mat\" array\n * --- mat (pointer to global memory):\n * arrays containing the values of the matrix to be transposed\n * mat is column major: m = number of rows, n = number of columns\n\n * Algorithm specificities:\n * - the temporary buffer (of size m * n * 8 bytes) in which matrix elements are stored has to fit entirely into shared memory. Therefore, this kernel cannot be run for matrix sizes such that m * n * 8 bytes > available shared memory per block.\n */\n\ntemplate __global__ void transpose_d(int* trs_stack, double* mat) {\n __shared__ double buf[m * n];\n\n /* Get the offset in the transpose-stack that this block ID should handle */\n int offset = trs_stack[blockIdx.x];\n\n /* Loop over m*n matrix elements */\n for (int i = threadIdx.x; i < m * n; i += blockDim.x) {\n /* Load matrix elements into a temporary buffer */\n buf[i] = mat[offset + i];\n }\n syncthreads();\n\n /* Loop over elements of the matrix to be overwritten */\n for (int i = threadIdx.x; i < m * n; i += blockDim.x) {\n /* Compute old row and column index of matrix element */\n int r_out = i % n;\n int c_out = i / n;\n /* Compute the corresponding old 1D index of matrix element */\n int idx = r_out * m + c_out;\n /* Overwrite the matrix element */\n mat[offset + i] = buf[idx];\n }\n}\n" }, { "path": "src/acc/libsmm_acc/libcusmm/.gitignore", "content": "cusmm_kernels.h\n" }, { "path": "src/acc/libsmm_acc/libcusmm/PACKAGE", "content": "{\n\"description\": \"Cuda accelerated Small Matrix Multiplications\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"kernels\", \"..\", \"../../include\"]\n}\n" }, { "path": "src/acc/libsmm_acc/libsmm_acc.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* Copyright (C) 2022 Advanced Micro Devices, Inc. - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \"parameters.h\"\n#include \"libsmm_acc.h\"\n#include \"libsmm_acc_benchmark.h\"\n#include \"smm_acc_kernels.h\"\n#include \"../cuda_hip/acc_blas.h\"\n#include \"../acc_libsmm.h\"\n\n#include \n#include \n#include \n#include \n#include \n#include \n\n#if defined(_OPENMP)\n# include \n#endif\n\n// MACRO HELPERS\n#define STRINGIFY_NX(x) #x\n#define STRINGIFY(x) STRINGIFY_NX(x)\n\n// The macro ARCH_OPTION, when expanded, is a string literal containing the\n// jit compiler option specifying the target architecture\n#if defined(__CUDA) || defined(__HIP_PLATFORM_NVCC__)\n# define ARCH_OPTION_NAME \"--gpu-architecture=compute_\"\n#else\n# define ARCH_OPTION_NAME \"--gpu-architecture=\"\n#endif\n#define ARCH_OPTION ARCH_OPTION_NAME STRINGIFY(ARCH_NUMBER)\n\n\n//===========================================================================\ninline int launch_kernel_from_handle(\n ACC_DRV(function) const& kern_func, int nblks, int threads, ACC_DRV(stream) stream, void** args) {\n ACC_DRV_CALL(LaunchJITKernel, (kern_func, // kernel function,\n nblks, 1, 1, // grid dimension x, y, z\n threads, 1, 1, // block dimension x, y, z\n 0, stream, // shared memory size and stream\n args, NULL)); // arguments\n return 0;\n}\n\n//===========================================================================\ninline int validate_kernel(ACC_DRV(function) & kern_func, ACC_DRV(stream) stream, int threads, int grouping, int m, int n, int k) {\n libsmm_acc_benchmark_t* h;\n libsmm_acc_benchmark_init(&h, test, m, n, k);\n\n // Run the matrix-matrix multiplication on the CPU\n memset(h->mat_c, 0, h->n_c * m * n * sizeof(double));\n matInit(h->mat_a, h->n_a, m, k, 42);\n matInit(h->mat_b, h->n_b, k, n, 24);\n stackInit(h->stack, h->n_stack, h->n_c, h->n_a, h->n_b, m, n, k);\n\n stackCalc(h->stack, h->n_stack, h->mat_c, h->mat_a, h->mat_b, m, n, k);\n double sumCPU = checkSum(h->mat_c, h->n_c, m, n);\n\n // Run the matrix-matrix multiplication kernel on the GPU\n ACC_API_CALL(Memcpy, (h->d_mat_a, h->mat_a, h->n_a * m * k * sizeof(double), ACC(MemcpyHostToDevice)));\n ACC_API_CALL(Memcpy, (h->d_mat_b, h->mat_b, h->n_b * k * n * sizeof(double), ACC(MemcpyHostToDevice)));\n ACC_API_CALL(Memcpy, (h->d_stack, h->stack, h->n_stack * 3 * sizeof(int), ACC(MemcpyHostToDevice)));\n ACC_API_CALL(Memset, (h->d_mat_c, 0, h->n_c * m * n * sizeof(double)));\n\n void* args[] = {&h->d_stack, &h->n_stack, &h->d_mat_a, &h->d_mat_b, &h->d_mat_c};\n launch_kernel_from_handle(kern_func, ((h->n_stack + grouping - 1) / grouping), threads, stream, args);\n ACC_API_CALL(Memcpy, (h->mat_c, h->d_mat_c, h->n_c * m * n * sizeof(double), ACC(MemcpyDeviceToHost)));\n\n // Validate the kernel based on results\n double sumGPU = checkSum(h->mat_c, h->n_c, m, n);\n libsmm_acc_benchmark_finalize(h);\n if (sumGPU != sumCPU) {\n // printf(\"Kernel validation failed for multiplication kernel %ix%ix%i\\nchecksum CPU: %g, checksum GPU: %g\\nchecksum_diff: %g\\n\",\n // m, n, k, sumCPU, sumGPU, sumGPU - sumCPU);\n return 1;\n }\n return 0;\n}\n\n//===========================================================================\ninline void jit_kernel(ACC_DRV(function) & kern_func, libsmm_acc_algo algo, int tile_m, int tile_n, int w, int v, int threads,\n int grouping, int minblocks, int m, int n, int k) {\n std::string routineN = LIBSMM_ACC_PROCESS_ROUTINE_NAME_STR;\n int handle;\n\n timeset(routineN, handle);\n\n // Get the code and the lowered name corresponding the kernel to launch\n std::string kernel_code = smm_acc_common; // prepend include file content to code\n std::string kernel_name;\n switch (algo) {\n case 1:\n kernel_code += smm_acc_dnt_largeDB1;\n kernel_name = \"smm_acc_dnt_largeDB1<\" + std::to_string(m) + \", \" + std::to_string(n) + \", \" + std::to_string(k) + \", \" +\n std::to_string(tile_m) + \", \" + std::to_string(tile_n) + \", \" + std::to_string(w) + \", \" + std::to_string(v) +\n \", \" + std::to_string(threads) + \", \" + std::to_string(grouping) + \", \" + std::to_string(minblocks) + \">\";\n break;\n case 2:\n kernel_code += smm_acc_dnt_largeDB2;\n kernel_name = \"smm_acc_dnt_largeDB2<\" + std::to_string(m) + \", \" + std::to_string(n) + \", \" + std::to_string(k) + \", \" +\n std::to_string(tile_m) + \", \" + std::to_string(tile_n) + \", \" + std::to_string(w) + \", \" + std::to_string(v) +\n \", \" + std::to_string(threads) + \", \" + std::to_string(grouping) + \", \" + std::to_string(minblocks) + \">\";\n break;\n case 3:\n kernel_code += smm_acc_dnt_medium;\n kernel_name = \"smm_acc_dnt_medium<\" + std::to_string(m) + \", \" + std::to_string(n) + \", \" + std::to_string(k) + \", \" +\n std::to_string(tile_m) + \", \" + std::to_string(tile_n) + \", \" + std::to_string(threads) + \", \" +\n std::to_string(grouping) + \", \" + std::to_string(minblocks) + \">\";\n break;\n case 4:\n kernel_code += smm_acc_dnt_small;\n kernel_name = \"smm_acc_dnt_small<\" + std::to_string(m) + \", \" + std::to_string(n) + \", \" + std::to_string(k) + \", \" +\n std::to_string(tile_m) + \", \" + std::to_string(tile_n) + \", \" + std::to_string(threads) + \", \" +\n std::to_string(grouping) + \", \" + std::to_string(minblocks) + \">\";\n break;\n case 5:\n kernel_code += smm_acc_dnt_tiny;\n kernel_name = \"smm_acc_dnt_tiny<\" + std::to_string(m) + \", \" + std::to_string(n) + \", \" + std::to_string(k) + \", \" +\n std::to_string(threads) + \", \" + std::to_string(grouping) + \", \" + std::to_string(minblocks) + \">\";\n break;\n default: printf(\"\\nERROR: algorithm number %i is not encoded.\\n\", algo); exit(1);\n }\n\n // Create JIT program\n ACC_RTC(Program) kernel_program;\n ACC_RTC_CALL(CreateProgram, (&kernel_program, kernel_code.c_str(), \"smm_acc_kernel.cu\", 0, NULL, NULL));\n\n // Add lowered name\n ACC_RTC_CALL(AddNameExpression, (kernel_program, kernel_name.c_str()));\n\n // (JIT-)compile kernel program\n#if defined(__CUDA) || defined(__HIP_PLATFORM_NVCC__)\n const char* compileOptions[] = {\"-D__CUDA\", \"-w\", ARCH_OPTION};\n size_t nOptions = 3;\n#else\n const char* compileOptions[] = {\"-D__HIP\", \"-O3\", \"-w\", \"-munsafe-fp-atomics\"};\n size_t nOptions = 4;\n#endif\n ACC_RTC(Result) compileResult = ACC_RTC(CompileProgram)(kernel_program, nOptions, compileOptions);\n if (compileResult != ACC_RTC_SUCCESS) {\n // if compilation fails:\n // print source, compilation options and compilation log\n size_t logSize;\n ACC_RTC_CALL(GetProgramLogSize, (kernel_program, &logSize));\n char* log = new char[logSize];\n ACC_RTC_CALL(GetProgramLog, (kernel_program, log));\n std::cout << \"---------------------------------------------------------------------------------\" << std::endl\n << \"Compile source : \" << std::endl\n << kernel_code.c_str() << std::endl\n << \"---------------------------------------------------------------------------------\" << std::endl\n << \"Compile lowered name : \" << kernel_name.c_str() << std::endl\n << \"---------------------------------------------------------------------------------\" << std::endl\n << \"Compile options : \" << *compileOptions << std::endl\n << \"---------------------------------------------------------------------------------\" << std::endl\n << \"Compile log : \" << std::endl\n << log << '\\n';\n delete[] log;\n exit(1);\n }\n\n // Obtain PTX from the program.\n size_t codeSize;\n ACC_RTC_CALL(GetLowLevelCodeSize, (kernel_program, &codeSize));\n char* code = new char[codeSize];\n ACC_RTC_CALL(GetLowLevelCode, (kernel_program, code));\n\n // Get lowered name\n const char* lowered_kernel_name;\n ACC_RTC_CALL(GetLoweredName, (kernel_program, kernel_name.c_str(), &lowered_kernel_name));\n\n // Get pointer to kernel from PTX\n ACC_DRV(module) module;\n ACC_DRV_CALL(ModuleLoadDataEx, (&module, code, 0, 0, 0));\n delete[] code;\n ACC_DRV_CALL(ModuleGetFunction, (&kern_func, module, lowered_kernel_name));\n\n // Set shared memory configuration\n#if defined(__CUDA)\n ACC_DRV_CALL(FuncSetSharedMemConfig, (kern_func, ACC_DRV(SharedMemBankSizeEightByte)));\n#endif\n\n // Destroy program\n ACC_RTC_CALL(DestroyProgram, (&kernel_program));\n\n timestop(handle);\n}\n\n\nkernel_map_iterator add_kernel_handle_to_jitted_kernels(\n ACC_DRV(function) kern_func, ACC_DRV(stream) stream, Triplet h_mnk, int& threads, int& grouping, bool& generated_acc_untuned) {\n kernel_map_iterator kernel_it = kernel_handles.end();\n\n // Check if the kernel was already generated and failed or if it is too big\n if (failed_acc_kernels.find(h_mnk) != failed_acc_kernels.end()) return kernel_it;\n\n libsmm_acc_algo algo;\n int tile_m, tile_n, w, v, minblocks;\n\n // Check whether autotuned parameters are given for this kernel, and if so, retrieve them\n if (ht.find(h_mnk) != ht.end()) {\n // Retrieve launching parameters\n const KernelParameters params = ht.at(h_mnk);\n algo = libsmm_acc_algo(params[0]); // enum {largeDB1, largeDB2, medium, small, tiny}\n tile_m = params[1];\n tile_n = params[2];\n w = params[3];\n v = params[4];\n threads = params[5];\n grouping = params[6];\n minblocks = params[7];\n generated_acc_untuned = false;\n }\n else if (h_mnk[0] < 50 && h_mnk[1] < 50 && h_mnk[2] < 50) { // Use a default untuned kernel\n algo = medium;\n tile_m = 2;\n tile_n = 2;\n w = 0;\n v = 0;\n threads = 256;\n grouping = 30;\n minblocks = 1;\n generated_acc_untuned = true;\n }\n else {\n failed_acc_kernels.insert(h_mnk);\n return kernel_it;\n }\n\n // JIT and validate the kernel\n jit_kernel(kern_func, algo, tile_m, tile_n, w, v, threads, grouping, minblocks, h_mnk[0], h_mnk[1], h_mnk[2]);\n if (validate_kernel(kern_func, stream, threads, grouping, h_mnk[0], h_mnk[1], h_mnk[2]) == 0) {\n // Store the handle to the JIT-ed kernel\n auto kernel_it_emplaced = kernel_handles.emplace(h_mnk, kernel_launcher(kern_func, threads, grouping));\n kernel_it = kernel_it_emplaced.first;\n }\n else {\n // The generated kernel gave wrong values, discard it\n free(kern_func);\n generated_acc_untuned = false;\n failed_acc_kernels.insert(h_mnk);\n }\n\n return kernel_it;\n}\n\n//===========================================================================\nint libsmm_acc_process_blas(const int* param_stack, int stack_size, ACC_DRV(stream) stream, int m, int n, int k, int max_kernel_dim,\n const double* a_data, const double* b_data, double* c_data) {\n#if defined _OPENMP\n int ithread = omp_get_thread_num();\n#else\n int ithread = 0;\n#endif\n\n int istat = 0;\n\n char transb = 'N';\n if (n <= max_kernel_dim && k <= max_kernel_dim) {\n transb = 'T';\n }\n\n for (int stack_entry = 0; stack_entry < stack_size && istat == 0; stack_entry++) {\n istat = acc_blas_dgemm(acc_blashandles[ithread], 'N', transb, m, n, k, param_stack[7 * stack_entry + 3] - 1,\n param_stack[7 * stack_entry + 4] - 1, param_stack[7 * stack_entry + 5] - 1, a_data, b_data, c_data, 1.f, 1.f, &stream);\n }\n ACC_API_CALL(StreamSynchronize, (stream));\n\n return istat;\n}\n\n//===========================================================================\nint libsmm_acc_process_d(const int* param_stack, int stack_size, ACC_DRV(stream) stream, int m, int n, int k, const double* a_data,\n const double* b_data, double* c_data) {\n ACC_DRV(function) kern_func = NULL;\n int threads, grouping;\n Triplet h_mnk = {m, n, k};\n kernel_map_iterator kernel_it;\n\n bool generated_acc_untuned = false;\n\n#if defined _OPENMP\n# pragma omp critical(jit_multiplication)\n#endif\n {\n // Look up the kernel in the table of already JITed kernels\n kernel_it = kernel_handles.find(h_mnk);\n if (kernel_it == kernel_handles.end()) { // the kernel has not been JIT-ed yet\n\n kernel_it = add_kernel_handle_to_jitted_kernels(kern_func, stream, h_mnk, threads, grouping, generated_acc_untuned);\n\n } // if the kernel could be jited successfully, the kernel_it iterator now points to the kernel_launcher.\n // if this wasn't possible, is set to kernel_handles.end()\n }\n\n if (kernel_it == kernel_handles.end()) { // the kernel could not be JIT-ed, so we should fall back to CPU\n\n return -20; // fall back to CPU\n }\n else {\n // Retrieve kernel launching parameters\n kern_func = kernel_it->second.kernel_function;\n threads = kernel_it->second.threads;\n grouping = kernel_it->second.grouping;\n\n // Construct argument pointer list and launch kernel\n void* args[] = {¶m_stack, &stack_size, &a_data, &b_data, &c_data};\n\n int return_value = launch_kernel_from_handle(kern_func, ((stack_size + grouping - 1) / grouping), threads, stream, args);\n\n return ((return_value != 0) or (!generated_acc_untuned)) ? return_value : 10; // return 10 for generated default untuned kernel\n }\n}\n\n//===========================================================================\nint libsmm_acc_process(const int* param_stack_host, const int* param_stack_dev, int stack_size, libsmm_acc_data_t datatype,\n const void* a_data, const void* b_data, void* c_data, int m, int n, int k, int max_kernel_dim, int def_mnk, void* stack_stream,\n void* c_stream) {\n if (def_mnk != 1) return -1; // inhomogeneous stacks not supported\n if (datatype == dbcsr_type_real_8) {\n if (m > max_kernel_dim || n > max_kernel_dim || k > max_kernel_dim)\n // maximum size over any dimension\n return (libsmm_acc_process_blas((const int*)param_stack_host, stack_size, *((ACC_DRV(stream)*)c_stream), m, n, k,\n max_kernel_dim, (const double*)a_data, (const double*)b_data, (double*)c_data));\n else {\n return (libsmm_acc_process_d((const int*)param_stack_dev, stack_size, *((ACC_DRV(stream)*)stack_stream), m, n, k,\n (const double*)a_data, (const double*)b_data, (double*)c_data));\n }\n }\n return -10; // datatype not supported\n}\n\n//===========================================================================\ninline void validate_transpose_kernel(ACC_DRV(function) & kern_func, int threads, ACC_DRV(stream) stream, int m, int n) {\n libsmm_acc_benchmark_t* h;\n libsmm_acc_benchmark_init(&h, test, m, 0, n);\n\n // Initialize arrays\n matInit(h->mat_a, h->n_a, m, n, 42);\n memset(h->mat_trs_a, 0, h->n_a * m * n * sizeof(double));\n stackInitTransp(h->stack_trs_a, h->n_stack_trs_a, m, n);\n\n // Run the matrix-matrix multiplication on the CPU\n stackTransp(h->stack_trs_a, h->n_stack_trs_a, h->mat_a, h->mat_trs_a, m, n);\n double sumCPU = checkSumTransp(h->mat_trs_a, h->n_stack_trs_a, m, n);\n\n // Run the matrix-matrix multiplication kernel on the GPU\n ACC_API_CALL(Memcpy, (h->d_mat_a, h->mat_a, h->n_a * m * n * sizeof(double), ACC(MemcpyHostToDevice)));\n ACC_API_CALL(Memcpy, (h->d_stack_trs_a, h->stack_trs_a, h->n_stack_trs_a * sizeof(int), ACC(MemcpyHostToDevice)));\n\n void* args[] = {&h->d_stack_trs_a, &h->d_mat_a};\n launch_kernel_from_handle(kern_func, h->n_stack_trs_a, threads, stream, args);\n ACC_API_CALL(Memcpy, (h->mat_trs_a, h->d_mat_a, h->n_a * m * n * sizeof(double), ACC(MemcpyDeviceToHost)));\n\n // Validate the kernel based on results\n double sumGPU = checkSumTransp(h->mat_trs_a, h->n_stack_trs_a, m, n);\n libsmm_acc_benchmark_finalize(h);\n if (sumGPU != sumCPU) {\n printf(\"Kernel validation failed for transpose kernel %ix%i\\nchecksum CPU: %g, checksum GPU: %g\\nchecksum_diff: %g\\n\", m, n,\n sumCPU, sumGPU, sumGPU - sumCPU);\n exit(1);\n }\n}\n\n//===========================================================================\nvoid jit_transpose_handle(ACC_DRV(function) & kern_func, int m, int n) {\n std::string routineN = LIBSMM_ACC_TRANSPOSE_ROUTINE_NAME_STR;\n int handle;\n\n timeset(routineN, handle);\n\n // Create nvrtcProgram\n ACC_RTC(Program) kernel_program;\n std::string transpose_code = smm_acc_common + smm_acc_transpose;\n ACC_RTC_CALL(CreateProgram, (&kernel_program, transpose_code.c_str(), \"transpose_kernel.cu\", 0, NULL, NULL));\n\n // Add lowered name\n std::string kernel_name = \"transpose_d<\" + std::to_string(m) + \", \" + std::to_string(n) + \">\";\n ACC_RTC_CALL(AddNameExpression, (kernel_program, kernel_name.c_str()));\n\n // (JIT-)compile\n#if defined(__CUDA) || defined(__HIP_PLATFORM_NVCC__)\n const char* compileOptions[] = {\"-D__CUDA\", \"-w\", ARCH_OPTION};\n size_t nOptions = 3;\n#else\n const char* compileOptions[] = {\"-D__HIP\"};\n size_t nOptions = 1;\n#endif\n ACC_RTC(Result) compileResult = ACC_RTC(CompileProgram)(kernel_program, nOptions, compileOptions);\n if (compileResult != ACC_RTC_SUCCESS) {\n // if compilation fails:\n // print source, compilation options and compilation log\n size_t logSize;\n ACC_RTC_CALL(GetProgramLogSize, (kernel_program, &logSize));\n char* log = new char[logSize];\n ACC_RTC_CALL(GetProgramLog, (kernel_program, log));\n std::cout << \"---------------------------------------------------------------------------------\" << std::endl\n << \"Compile source : \" << std::endl\n << transpose_code.c_str() << std::endl\n << \"---------------------------------------------------------------------------------\" << std::endl\n << \"Compile lowered name : \" << kernel_name.c_str() << std::endl\n << \"---------------------------------------------------------------------------------\" << std::endl\n << \"Compile options : \" << *compileOptions << std::endl\n << \"---------------------------------------------------------------------------------\" << std::endl\n << \"Compile log : \" << std::endl\n << log << '\\n';\n delete[] log;\n exit(1);\n }\n\n // Obtain PTX from the program.\n size_t codeSize;\n ACC_RTC_CALL(GetLowLevelCodeSize, (kernel_program, &codeSize));\n char* code = new char[codeSize];\n ACC_RTC_CALL(GetLowLevelCode, (kernel_program, code));\n\n // Get lowered name\n const char* lowered_kernel_name;\n ACC_RTC_CALL(GetLoweredName, (kernel_program, kernel_name.c_str(), &lowered_kernel_name));\n\n // Get pointer to kernel from PTX\n ACC_DRV(module) module;\n ACC_DRV_CALL(ModuleLoadDataEx, (&module, code, 0, 0, 0));\n delete[] code;\n ACC_DRV_CALL(ModuleGetFunction, (&kern_func, module, lowered_kernel_name));\n\n // Set shared memory configuration\n#if defined(__CUDA)\n ACC_DRV_CALL(FuncSetSharedMemConfig, (kern_func, ACC_DRV(SharedMemBankSizeEightByte)));\n#endif\n\n // Destroy program\n ACC_RTC_CALL(DestroyProgram, (&kernel_program));\n\n timestop(handle);\n}\n\n//===========================================================================\nint libsmm_acc_transpose_d(const int* trs_stack, int offset, int stack_size, double* buffer, int m, int n, ACC_DRV(stream) stream) {\n ACC_DRV(function) kern_func;\n int threads = 128;\n if (m * n + warp_size <= 128) {\n threads = m * n - (m * n % warp_size) + warp_size;\n }\n\n // Look up the kernel in the table of already JITed kernels\n Triplet h_mnk = {m, n, 0};\n std::unordered_map, ACC_DRV(function)>::iterator kernel_it;\n\n#if defined _OPENMP\n# pragma omp critical(jit_transpose)\n#endif\n {\n kernel_it = transpose_handles.find(h_mnk);\n if (kernel_it == transpose_handles.end()) { // the kernel has not been JIT-ed yet\n\n // JIT and store a kernel for this transposition\n jit_transpose_handle(kern_func, m, n);\n validate_transpose_kernel(kern_func, threads, stream, m, n);\n transpose_handles.emplace(h_mnk, kern_func);\n kernel_it = transpose_handles.find(h_mnk);\n }\n }\n\n // Construct argument pointer list and launch function\n kern_func = kernel_it->second; // retrieve handle\n const int* trs_stack_ = trs_stack + offset;\n void* args[] = {&trs_stack_, &buffer};\n\n return launch_kernel_from_handle(kern_func, stack_size, threads, stream, args);\n}\n\n//===========================================================================\nextern \"C\" int libsmm_acc_transpose(const int* trs_stack, int offset, int stack_size, void* buffer, libsmm_acc_data_t datatype,\n int m, int n, int max_kernel_dim, void* stream) {\n if (datatype != dbcsr_type_real_8) return 0; // transpose not needed\n if (m > max_kernel_dim || n > max_kernel_dim) return 0; // maximum size over any dimension\n return libsmm_acc_transpose_d(trs_stack, offset, stack_size, (double*)buffer, m, n, *((ACC_DRV(stream)*)stream));\n}\n" }, { "path": "src/acc/libsmm_acc/libsmm_acc.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef LIBSMM_ACC_H\n#define LIBSMM_ACC_H\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \"../acc_libsmm.h\"\n#include \"parameters_utils.h\"\n#include \"libsmm_acc_init.h\"\n\n#include \n#include \n#include \n#include \n\nenum libsmm_acc_algo { largeDB1 = 1, largeDB2 = 2, medium = 3, small = 4, tiny = 5 };\n\nstruct kernel_launcher {\n ACC_DRV(function) kernel_function;\n int threads;\n int grouping;\n kernel_launcher(ACC_DRV(function) const& kf, int th, int gp) : kernel_function(kf), threads(th), grouping(gp) {}\n};\n\ntypedef std::unordered_map::iterator kernel_map_iterator;\n\nstatic std::unordered_map kernel_handles;\nstatic std::unordered_set failed_acc_kernels;\n\nint libsmm_acc_process_blas(const int* param_stack_host, int stack_size, ACC_DRV(stream) stream, int m, int n, int k,\n const double* a_data, const double* b_data, double* c_data);\n\nint libsmm_acc_process_d(const int* param_stack_dev, int stack_size, ACC_DRV(stream) stream, int m, int n, int k,\n const double* a_data, const double* b_data, double* c_data);\n\nstatic std::unordered_map transpose_handles;\n\nint libsmm_acc_transpose_d(const int* trs_stack, int offset, int nblks, double* buffer, int m, int n, ACC_DRV(stream) stream);\n\n#endif /*LIBSMM_ACC_H*/\n" }, { "path": "src/acc/libsmm_acc/libsmm_acc_benchmark.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \n#include \n#include \n#include \n#include \"libsmm_acc_benchmark.h\"\n#ifdef __TUNING\n# include \"parameters.h\"\n#endif\n#include \"parameters_utils.h\"\n#include \"../acc_bench.h\"\n\n\n//===========================================================================\n// Allocate memory and accelerator events\nvoid libsmm_acc_benchmark_init(libsmm_acc_benchmark_t** handle, benchmark_mode mode, int max_m, int max_n, int max_k) {\n libsmm_acc_benchmark_t* h = (libsmm_acc_benchmark_t*)malloc(sizeof(libsmm_acc_benchmark_t));\n *handle = h;\n h->mode = mode;\n h->n_a = 0;\n h->n_b = 0;\n h->n_c = 0;\n h->n_stack = 0;\n h->n_stack_trs_a = 0;\n h->n_stack_trs_b = 0;\n\n switch (h->mode) {\n case tune:\n case timing:\n h->n_a = 10000;\n h->n_b = 10000;\n h->n_c = 1000;\n h->n_stack = 16005;\n h->n_stack_trs_a = 0;\n h->n_stack_trs_b = 0;\n break;\n case test:\n h->n_a = 100;\n h->n_b = 100;\n h->n_c = 10;\n h->n_stack = 100;\n h->n_stack_trs_a = h->n_a;\n h->n_stack_trs_b = h->n_b;\n break;\n }\n\n h->max_m = max_m;\n h->max_n = max_n;\n h->max_k = max_k;\n\n h->mat_a = (double*)malloc(h->n_a * max_m * max_k * sizeof(double));\n h->mat_trs_a = (double*)malloc(h->n_a * max_m * max_k * sizeof(double));\n h->mat_b = (double*)malloc(h->n_b * max_k * max_n * sizeof(double));\n h->mat_trs_b = (double*)malloc(h->n_b * max_k * max_n * sizeof(double));\n h->mat_c = (double*)malloc(h->n_c * max_m * max_n * sizeof(double));\n h->stack = (int*)malloc(h->n_stack * 3 * sizeof(int));\n h->stack_trs_a = (int*)malloc(h->n_stack_trs_a * sizeof(int));\n h->stack_trs_b = (int*)malloc(h->n_stack_trs_b * sizeof(int));\n\n ACC_API_CALL(Malloc, (&h->d_mat_a, h->n_a * max_m * max_k * sizeof(double)));\n ACC_API_CALL(Malloc, (&h->d_mat_b, h->n_b * max_k * max_n * sizeof(double)));\n ACC_API_CALL(Malloc, (&h->d_mat_c, h->n_c * max_m * max_n * sizeof(double)));\n ACC_API_CALL(Malloc, (&h->d_stack, h->n_stack * 3 * sizeof(int)));\n ACC_API_CALL(Malloc, (&h->d_stack_trs_a, h->n_stack_trs_a * sizeof(int)));\n ACC_API_CALL(Malloc, (&h->d_stack_trs_b, h->n_stack_trs_b * sizeof(int)));\n\n ACC_DRV_CALL(EventCreate, (&h->t_start, ACC_DRV(EventDefault)));\n ACC_DRV_CALL(EventCreate, (&h->t_stop, ACC_DRV(EventDefault)));\n}\n\n//===========================================================================\n// Free memory and accelerator events\nvoid libsmm_acc_benchmark_finalize(libsmm_acc_benchmark_t* handle) {\n ACC_DRV_CALL(EventDestroy, (handle->t_start));\n ACC_DRV_CALL(EventDestroy, (handle->t_stop));\n ACC_API_CALL(Free, (handle->d_stack_trs_b));\n ACC_API_CALL(Free, (handle->d_stack_trs_a));\n ACC_API_CALL(Free, (handle->d_stack));\n ACC_API_CALL(Free, (handle->d_mat_c));\n ACC_API_CALL(Free, (handle->d_mat_b));\n ACC_API_CALL(Free, (handle->d_mat_a));\n free(handle->stack_trs_b);\n free(handle->stack_trs_a);\n free(handle->stack);\n free(handle->mat_c);\n free(handle->mat_trs_b);\n free(handle->mat_b);\n free(handle->mat_trs_a);\n free(handle->mat_a);\n free(handle);\n}\n\n//===========================================================================\n// initialize matrix\nvoid matInit(double* mat, int mat_n, int x, int y, int seed) {\n double* m = mat;\n\n for (int n = 0; n < mat_n; n++)\n for (int j = 0; j < y; j++)\n for (int i = 0; i < x; i++, m++) *m = (double)j * x + i + n + seed;\n}\n\n//===========================================================================\n// initialize the task list (\"stack\" in DBCSR lingo)\n// for each of the result matrices we have a random number\nvoid stackInit(int* stack, int n_stack, int n_c, int n_a, int n_b, int mat_m, int mat_n, int mat_k) {\n init_stack(stack, n_stack, 0, NULL, mat_m * mat_n, mat_m * mat_k, mat_k * mat_n, n_c, n_a, n_b);\n}\n\n//===========================================================================\n// initialize the task list (\"stack\" in DBCSR lingo)\nvoid stackInitTransp(int* stack, int n_stack, int mat_m, int mat_n) {\n int* s = stack;\n for (int p = 0; p < n_stack; p++) *s++ = p * mat_m * mat_n;\n}\n\n//===========================================================================\nvoid stackCalc(int* stack, int n_stack, double* mat_c, double* mat_a, double* mat_b, int mat_m, int mat_n, int mat_k) {\n for (int s = 0; s < n_stack; s++) {\n int a_base = stack[3 * s] - 1;\n int b_base = stack[3 * s + 1] - 1;\n int c_base = stack[3 * s + 2] - 1;\n\n for (int n = 0; n < mat_n; n++) {\n for (int m = 0; m < mat_m; m++) {\n double res = 0.;\n for (int k = 0; k < mat_k; k++) {\n int a_ind = k * mat_m + m;\n int b_ind = k * mat_n + n;\n res += mat_a[a_base + a_ind] * mat_b[b_base + b_ind];\n }\n int c_ind = n * mat_m + m;\n mat_c[c_base + c_ind] += res;\n }\n }\n }\n}\n\n//===========================================================================\nvoid stackTransp(int* stack, int n_stack, double* mat, double* mat_trs, int mat_m, int mat_n) {\n for (int s = 0; s < n_stack; s++) {\n int offset = stack[s];\n for (int m = 0; m < mat_m; m++) {\n for (int n = 0; n < mat_n; n++) {\n int i = n * mat_m + m;\n int r_out = i % mat_n;\n int c_out = i / mat_n;\n int it = r_out * mat_m + c_out;\n mat_trs[offset + i] = mat[offset + it];\n }\n }\n }\n}\n\n//===========================================================================\ndouble checkSum(double* mat_c, int n_c, int mat_m, int mat_n) {\n double res = 0;\n for (int i = 0; i < n_c * mat_m * mat_n; i++) {\n res += mat_c[i];\n }\n return res;\n}\n\n//===========================================================================\ndouble checkSumTransp(double* mat, int n_stack, int mat_m, int mat_n) {\n // for transposition, a regular checkSum does not inform about the\n // transpose's correctness. Instead, we perform a checkSum on a\n // sample of elements.\n double res = 0;\n int size = mat_m * mat_n;\n int n_samples = size / 3;\n int step = size;\n\n if (n_samples > 0) {\n step = size / n_samples;\n }\n\n for (int s = 0; s < n_stack; s++) {\n int offset = s * size;\n for (int idx = s % step; idx < size; idx += step) res += mat[offset + idx];\n }\n return res;\n}\n\n//===========================================================================\n//Removes special symbols so that the output is useful for awk and gnuplot.\nstatic void clean_string(char* str_in, char* str_out) {\n for (int i = 0; i < 1000; i++) {\n if (str_in[i] == '=' || str_in[i] == ',' || str_in[i] == '(' || str_in[i] == ')') {\n str_out[i] = ' ';\n }\n else {\n str_out[i] = str_in[i];\n }\n if (str_in[i] == 0) break;\n }\n}\n\n//===========================================================================\nint libsmm_acc_benchmark(\n libsmm_acc_benchmark_t* h, int mat_m, int mat_n, int mat_k, int nkernels, KernelLauncher* launchers, char** kernel_descr) {\n if (mat_m > h->max_m || mat_n > h->max_n || mat_k > h->max_k) {\n printf(\"libsmm_acc_benchmark: got handle with too few resources\\n\");\n exit(1);\n }\n extern const std::unordered_map ht;\n std::vector blocksizes;\n get_libsmm_acc_triplets(blocksizes, ht);\n auto it = std::find(std::begin(blocksizes), std::end(blocksizes), Triplet({mat_m, mat_n, mat_k}));\n if (it == std::end(blocksizes) && h->mode != tune) {\n printf(\"Triplet %i x %i x %i is not defined in libsmm_acc\\n\", mat_m, mat_n, mat_k);\n exit(1);\n }\n\n\n int n_iter{0}, n_warm{0};\n switch (h->mode) {\n case tune:\n case timing: // for larger matrices few iteration give enough statistics\n n_iter = std::max(3, 12500 / (mat_m * mat_n * mat_k));\n n_warm = std::min(3, n_iter);\n break;\n case test:\n n_iter = 1;\n n_warm = 1;\n break;\n }\n\n ACC_DRV(stream) stream;\n ACC_DRV_CALL(StreamCreate, (&stream, ACC_DRV(StreamDefault)));\n\n int error_counter = 0;\n int best_kernel = -1;\n double best_gflops = 0.0;\n double sumCPU, sumGPU;\n float t_duration;\n char descr[1000], msg_prefix[100] = \"\";\n\n memset(h->mat_c, 0, h->n_c * mat_m * mat_n * sizeof(double));\n matInit(h->mat_a, h->n_a, mat_m, mat_k, 42);\n matInit(h->mat_b, h->n_b, mat_k, mat_n, 24);\n\n if (h->mode == tune) printf(\"Initializing ...\\n\");\n stackInit(h->stack, h->n_stack, h->n_c, h->n_a, h->n_b, mat_m, mat_n, mat_k);\n\n // Actually, we would have to calculate the stack n_iter times.\n // We cheat by simply scaling the results of a single stack calculation.\n stackCalc(h->stack, h->n_stack, h->mat_c, h->mat_a, h->mat_b, mat_m, mat_n, mat_k);\n for (int i = 0; i < h->n_c * mat_m * mat_n; i++) h->mat_c[i] *= n_iter;\n\n sumCPU = checkSum(h->mat_c, h->n_c, mat_m, mat_n);\n\n ACC_API_CALL(Memcpy, (h->d_mat_a, h->mat_a, h->n_a * mat_m * mat_k * sizeof(double), ACC(MemcpyHostToDevice)));\n ACC_API_CALL(Memcpy, (h->d_mat_b, h->mat_b, h->n_b * mat_k * mat_n * sizeof(double), ACC(MemcpyHostToDevice)));\n ACC_API_CALL(Memcpy, (h->d_stack, h->stack, h->n_stack * 3 * sizeof(int), ACC(MemcpyHostToDevice)));\n // d_mat_c gets zeroed after warmup run\n\n for (int ikern = 0; ikern < nkernels; ikern++) {\n // Warmup run (more often if n_iter is small)\n for (int i = 0; i < n_warm; i++)\n launchers[ikern](h->d_stack, h->n_stack, stream, mat_m, mat_n, mat_k, h->d_mat_a, h->d_mat_b, h->d_mat_c);\n ACC_API_CALL(Memset, (h->d_mat_c, 0, h->n_c * mat_m * mat_n * sizeof(double)));\n\n ACC_DRV_CALL(EventRecord, (h->t_start, stream));\n\n for (int i = 0; i < n_iter; i++)\n launchers[ikern](h->d_stack, h->n_stack, stream, mat_m, mat_n, mat_k, h->d_mat_a, h->d_mat_b, h->d_mat_c);\n\n ACC_DRV_CALL(EventRecord, (h->t_stop, stream));\n ACC_DRV_CALL(EventSynchronize, (h->t_stop));\n ACC_DRV_CALL(EventElapsedTime, (&t_duration, h->t_start, h->t_stop));\n\n ACC_API_CALL(Memcpy, (h->mat_c, h->d_mat_c, h->n_c * mat_m * mat_n * sizeof(double), ACC(MemcpyDeviceToHost)));\n\n clean_string(kernel_descr[ikern], descr);\n\n if (h->mode == tune) sprintf(msg_prefix, \"params %d / %d\\n\", ikern + 1, nkernels);\n\n sumGPU = checkSum(h->mat_c, h->n_c, mat_m, mat_n);\n if (sumGPU != sumCPU) {\n printf(\"%sERROR %s checksum_diff: %g\\n\", msg_prefix, descr, sumGPU - sumCPU);\n error_counter++;\n continue;\n }\n\n if (h->mode == tune || h->mode == timing) {\n double gflops = ((double)n_iter * h->n_stack * mat_m * mat_n * mat_k * 2 / (1e9)) / (t_duration * 1e-3);\n printf(\"%sOK %s GFlop/s %g\\n\", msg_prefix, descr, gflops);\n if (best_gflops < gflops) {\n best_gflops = gflops;\n best_kernel = ikern;\n }\n }\n#if !defined(NDEBUG)\n else {\n printf(\"%sOK %s\\n\", msg_prefix, descr);\n }\n#endif\n }\n\n if (h->mode == tune) {\n printf(\"\\n\\n\");\n if (best_kernel > -1) {\n printf(\"WINNER: %d %s , # %g GFlop/s \\n\", best_kernel + 1, kernel_descr[best_kernel], best_gflops);\n }\n else {\n printf(\"WINNER: None\\n\");\n }\n printf(\"Number of errors: %d\\n\", error_counter);\n }\n\n return (error_counter);\n}\n\n//===========================================================================\nint libsmm_acc_benchmark_transpose_(int n_stack, int* stack, int* d_stack, double* mat, double* mat_trs, double* d_mat, int n,\n int mat_m, int mat_n, ACC_DRV(event) start, ACC_DRV(event) stop, char** kernel_descr, TransposeLauncher* launcher) {\n if (mat_m > MAX_KERNEL_DIM || mat_n > MAX_KERNEL_DIM) {\n printf(\"Cannot transpose matrices with dimensions above %i, got (%i x %i)\\n\", MAX_KERNEL_DIM, mat_m, mat_n);\n exit(1);\n }\n\n ACC_DRV(stream) stream;\n ACC_DRV_CALL(StreamCreate, (&stream, ACC_DRV(StreamDefault)));\n\n int offset = 0;\n int n_warm = 0;\n int n_iter = 1;\n int error_counter = 0;\n double sumCPU, sumGPU;\n float t_duration;\n char descr[1000], msg_prefix[100] = \"\";\n\n // Matrix and stack initialization\n matInit(mat, n, mat_m, mat_n, 42);\n memset(mat_trs, 0, n * mat_m * mat_n * sizeof(double));\n stackInitTransp(stack, n_stack, mat_m, mat_n);\n\n // Reference result on CPU\n stackTransp(stack, n_stack, mat, mat_trs, mat_m, mat_n);\n sumCPU = checkSumTransp(mat_trs, n_stack, mat_m, mat_n);\n\n // Compute on GPU\n ACC_API_CALL(Memcpy, (d_mat, mat, n * mat_m * mat_n * sizeof(double), ACC(MemcpyHostToDevice)));\n ACC_API_CALL(Memcpy, (d_stack, stack, n_stack * sizeof(int), ACC(MemcpyHostToDevice)));\n\n // Warmup run\n for (int i = 0; i < n_warm; i++) launcher[0](d_stack, offset, n_stack, d_mat, mat_m, mat_n, stream);\n\n // Real runs\n ACC_DRV_CALL(EventRecord, (start, stream));\n\n for (int i = 0; i < n_iter; i++) launcher[0](d_stack, offset, n_stack, d_mat, mat_m, mat_n, stream);\n\n ACC_DRV_CALL(EventRecord, (stop, stream));\n ACC_DRV_CALL(EventSynchronize, (stop));\n ACC_DRV_CALL(EventElapsedTime, (&t_duration, start, stop));\n\n // Check for errors and compare libsmm_acc result on GPU to reference\n ACC_API_CALL(Memcpy, (mat_trs, d_mat, n * mat_m * mat_n * sizeof(double), ACC(MemcpyDeviceToHost)));\n clean_string(kernel_descr[0], descr);\n\n sumGPU = checkSumTransp(mat_trs, n_stack, mat_m, mat_n);\n if (sumGPU != sumCPU) {\n printf(\"%sERROR %s checksum_diff: %g\\n\", msg_prefix, descr, sumGPU - sumCPU);\n error_counter++;\n }\n#if !defined(NDEBUG)\n else {\n printf(\"%sOK %s\\n\", msg_prefix, descr);\n }\n#endif\n return error_counter;\n}\n\n//===========================================================================\nint libsmm_acc_benchmark_transpose(\n libsmm_acc_benchmark_t* handle, int mat_m, int mat_n, TransposeLauncher* launcher, char** kernel_descr) {\n if (mat_m > handle->max_m || mat_n > handle->max_n) {\n printf(\"libsmm_acc_benchmark_transpose: got handle with too few resources\\n\");\n exit(1);\n }\n if (handle->mode == tune) {\n printf(\"Tune mode not supported for benchmarking of transpose\");\n exit(1);\n }\n\n int errors = 0;\n errors += libsmm_acc_benchmark_transpose_(handle->n_stack_trs_a, handle->stack_trs_a, handle->d_stack_trs_a, handle->mat_a,\n handle->mat_trs_a, handle->d_mat_a, handle->n_a, mat_m, mat_n, handle->t_start, handle->t_stop, kernel_descr, launcher);\n return errors;\n}\n" }, { "path": "src/acc/libsmm_acc/libsmm_acc_benchmark.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef LIBSMM_ACC_BENCHMARK_H\n#define LIBSMM_ACC_BENCHMARK_H\n\n#if defined(__CUDA)\n# include \"../cuda/acc_cuda.h\"\n#elif defined(__HIP)\n# include \"../hip/acc_hip.h\"\n#endif\n\n#include \"../acc_libsmm.h\"\n\ntypedef int (*KernelLauncher)(const int* param_stack_dev, int stack_size, ACC_DRV(stream) stream, int m, int n, int k,\n const double* a_data, const double* b_data, double* c_data);\n\ntypedef int (*TransposeLauncher)(\n const int* param_stack, int offset, int nblks, double* buffer, int m, int n, ACC_DRV(stream) stream);\n\nenum benchmark_mode { test, tune, timing };\n\ntypedef struct {\n benchmark_mode mode;\n /* max block-sizes to expect */\n int max_m, max_n, max_k;\n /* number of blocks to allocate in each panel */\n int n_a, n_b, n_c;\n /* length of stack (multiplication, transpose a, transpose b) */\n int n_stack, n_stack_trs_a, n_stack_trs_b;\n /* host-buffers */\n double *mat_a, *mat_b, *mat_c;\n double *mat_trs_a, *mat_trs_b;\n int *stack, *stack_trs_a, *stack_trs_b;\n /* device-buffers */\n double *d_mat_a, *d_mat_b, *d_mat_c;\n int *d_stack, *d_stack_trs_a, *d_stack_trs_b;\n /* events for measuring the runtime */\n ACC_DRV(event) t_start, t_stop;\n} libsmm_acc_benchmark_t;\n\nvoid matInit(double* mat, int mat_n, int x, int y, int seed);\n\nvoid stackInit(int* stack, int n_stack, int n_c, int n_a, int n_b, int mat_m, int mat_n, int mat_k);\nvoid stackInitTransp(int* stack, int n_stack, int mat_m, int mat_n);\n\nvoid stackCalc(int* stack, int n_stack, double* mat_c, double* mat_a, double* mat_b, int mat_m, int mat_n, int mat_k);\nvoid stackTransp(int* stack, int n_stack, double* mat_a, double* mat_atrs, int mat_m, int mat_n);\n\ndouble checkSum(double* mat_c, int n_c, int mat_m, int mat_n);\ndouble checkSumTransp(double* mat, int n_stack, int mat_m, int mat_n);\n\nvoid libsmm_acc_benchmark_init(libsmm_acc_benchmark_t** handle, benchmark_mode mode, int max_m, int max_n, int max_k);\n\nvoid libsmm_acc_benchmark_finalize(libsmm_acc_benchmark_t*);\n\nint libsmm_acc_benchmark(\n libsmm_acc_benchmark_t* handle, int mat_m, int mat_n, int mat_k, int nkernel, KernelLauncher* launchers, char** kernel_descr);\nint libsmm_acc_benchmark_transpose(\n libsmm_acc_benchmark_t* handle, int mat_m, int mat_n, TransposeLauncher* launcher, char** kernel_descr);\nint libsmm_acc_benchmark_transpose_(int n_stack, int* stack, int* d_stack, double* mat, double* mat_trs, double* d_mat, int n,\n int mat_m, int mat_n, ACC_DRV(event) start, ACC_DRV(event) stop, char** kernel_descr, TransposeLauncher* launcher);\n\n#endif /*LIBSMM_ACC_BENCHMARK_H*/\n" }, { "path": "src/acc/libsmm_acc/libsmm_acc_init.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \"libsmm_acc_init.h\"\n#include \"../acc_libsmm.h\"\n#include \"../cuda_hip/acc_utils.h\"\n\n#if defined(_OPENMP)\n# include \n#endif\n\n\nstd::vector acc_blashandles;\n\n//===========================================================================\n#if defined(__DBCSR_ACC)\nvoid timeset(const std::string& routine_name, int& handle) {\n const char* routine_name_ = routine_name.c_str();\n int routine_name_length = routine_name.length();\n c_dbcsr_timeset(&routine_name_, &routine_name_length, &handle);\n}\nvoid timestop(int handle) { c_dbcsr_timestop(&handle); }\n#else\nvoid timeset(const std::string& routine_name, int& handle) {\n (void)(routine_name);\n (void)(handle);\n}\nvoid timestop(int handle) { (void)(handle); }\n#endif\n\n//===========================================================================\nint libsmm_acc_gpu_blas_init() {\n // allocate memory for acc_blas handles\n#if defined _OPENMP\n const int nthreads = omp_get_num_threads();\n#else\n const int nthreads = 1;\n#endif\n const int size = static_cast(acc_blashandles.size());\n\n if (size < nthreads) {\n acc_blashandles.resize(nthreads);\n // initialize acc_blas and store acc_blas handles\n for (int i = size; i < nthreads; i++) {\n ACC_BLAS(Handle_t) * c_handle;\n acc_blas_create(&c_handle);\n acc_blashandles[i] = c_handle;\n }\n }\n return 0;\n}\n\n//===========================================================================\nextern \"C\" int libsmm_acc_init() {\n std::string routineN = \"libsmm_acc_init\";\n int handle;\n\n timeset(routineN, handle);\n\n // check warp size consistency\n libsmm_acc_check_gpu_warp_size_consistency();\n libsmm_acc_gpu_blas_init();\n\n timestop(handle);\n\n return 0;\n}\n\n//===========================================================================\nextern \"C\" int libsmm_acc_finalize() {\n std::string routineN = \"libsmm_acc_finalize\";\n int handle;\n\n timeset(routineN, handle);\n\n // free acc_blas handle resources; one handle per thread\n for (size_t i = 0; i < acc_blashandles.size(); i++) {\n acc_blas_destroy(acc_blashandles[i]);\n }\n acc_blashandles.clear();\n\n timestop(handle);\n\n return 0;\n}\n\n//===========================================================================\nint libsmm_acc_check_gpu_warp_size_consistency() {\n int acc_warp_size = acc_get_gpu_warp_size();\n extern const int warp_size;\n if (warp_size != acc_warp_size) {\n printf(\"Inconsistency in warp sizes: Cuda/Hip indicates warp size = %d, while the gpu_properties files indicates warp_size = \"\n \"%d.\\nPlease check whether src/acc/libsmm_acc/kernels/gpu_properties.json contains the correct data about the GPU you \"\n \"are using.\",\n warp_size, acc_warp_size);\n }\n return 0;\n}\n\n//===========================================================================\nextern \"C\" int libsmm_acc_is_thread_safe() {\n#if defined(_OPENMP)\n return 1; // i.e. true, libsmm_acc is threaded\n#else\n return 0; // i.e. false, libsmm_acc is not threaded\n#endif\n}\n" }, { "path": "src/acc/libsmm_acc/libsmm_acc_init.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef LIBSMM_ACC_INIT_H\n#define LIBSMM_ACC_INIT_H\n\n#include \"../cuda_hip/acc_blas.h\"\n\n#include \n#include \n\nvoid timeset(const std::string& routine_name, int& handle);\nvoid timestop(int handle);\n\nextern \"C\" int libsmm_acc_init(void);\nextern \"C\" int libsmm_acc_finalize(void);\n\nint libsmm_acc_gpu_blas_init();\n\nint libsmm_acc_check_gpu_warp_size_consistency(void);\n\nextern \"C\" int libsmm_acc_is_thread_safe(void);\n\nextern std::vector acc_blashandles;\n\n#endif /*LIBSMM_ACC_INIT_H*/\n" }, { "path": "src/acc/libsmm_acc/parameters/parameters_H100.json", "content": "[\n{\"m\": 4, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 374.319, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 450.325, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 551.093, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 607.815, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 8, \"threads\": 32, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 662.818, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 669.072, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 720.571, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 873.794, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 15, \"threads\": 32, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 978.746, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 16, \"threads\": 32, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 1018.3, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 1210.71, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 1261.58, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"small\", \"perf\": 1143.85, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 1169.45, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 1239.73, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"small\", \"perf\": 1452.59, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1414.16, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 460.134, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 564.995, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 665.169, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 685.809, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 758.531, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 821.685, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 885.359, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1013.14, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1132.32, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1196.81, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1317.35, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1345.3, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1386.4, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1280.93, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1349.23, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1432.38, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1565.29, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 549.322, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 673.458, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 729.041, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 813.281, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 910.635, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 973.739, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1053.32, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1195.43, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1340.32, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1411.88, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1534.4, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1654.58, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 1936.72, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 645.517, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 752.878, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 851.831, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 966.272, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1051.7, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1151.26, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1164.05, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1369.76, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1397.07, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1650.44, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1671.4, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1726.14, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1744.58, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1877.78, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 2127.85, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 591.198, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 835.546, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 971.585, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1100.84, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 1029.21, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1234.34, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1330.48, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1461.13, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1593.96, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1830.82, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1921.19, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2194.19, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2284.62, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 744.777, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 876.774, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1032.0, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1158.38, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 12, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1189.54, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1289.21, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1407.5, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1529.7, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1596.49, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1645.56, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1853.64, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1910.78, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1934.81, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1963.83, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2064.46, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2211.4, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2282.4, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 829.44, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 992.151, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1159.14, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1208.58, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1326.38, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1425.19, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1423.61, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1603.58, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1756.73, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2062.22, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2206.03, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 2448.7, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 22, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2448.08, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1070.38, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1175.73, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1378.07, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1536.92, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1546.38, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1675.4, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1682.24, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2008.88, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2094.97, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2184.41, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2589.63, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2538.99, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2587.59, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2650.08, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2729.36, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2848.12, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3044.66, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1230.67, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1345.56, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1572.75, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1639.15, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1776.81, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1793.29, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1937.34, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2200.58, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2423.12, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2458.43, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2751.5, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2883.44, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2891.13, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3282.7, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1102.31, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1466.62, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1953.78, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2398.44, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2588.95, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2665.19, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3063.49, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3021.44, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3130.48, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3473.06, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1504.19, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1694.47, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1905.24, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2149.26, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2214.12, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2203.54, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2349.64, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2692.61, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2858.04, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3039.53, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3188.7, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3230.8, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3221.15, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3009.88, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3510.13, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3543.15, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1567.86, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1737.36, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2696.97, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3083.2, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3081.02, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3348.37, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1508.44, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1781.44, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2197.88, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2360.08, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2740.9, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2933.47, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3040.3, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3165.55, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3291.37, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3300.52, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3354.34, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3460.54, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3438.81, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1589.7, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1861.6, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2167.34, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2375.26, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2378.79, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2557.1, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2649.38, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2945.74, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3133.51, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3366.55, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3463.55, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3772.86, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3502.78, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3515.07, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3619.65, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3694.83, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3591.91, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1683.8, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2010.42, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2466.7, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2730.71, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3119.58, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3629.25, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3679.08, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3721.21, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3884.2, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3705.22, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"small\", \"perf\": 1956.68, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2255.48, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2560.8, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2776.84, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2816.0, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2912.94, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3059.09, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3465.69, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3850.83, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3889.43, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3941.25, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3980.52, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4094.55, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3790.66, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2427.89, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2694.21, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 6, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3129.76, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 3431.2, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3177.17, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3346.18, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 10, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3483.84, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3836.01, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 15, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3866.63, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3960.0, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4103.49, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4055.32, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3849.89, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3838.76, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3898.38, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 6, \"w\": 16, \"v\": 42, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3792.73, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 456.734, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 547.936, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 627.773, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 648.722, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 712.755, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 770.569, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 820.199, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 889.483, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 987.785, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1025.03, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1126.7, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1135.53, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1184.31, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1142.17, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 11, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1196.49, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1245.14, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1310.16, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 557.737, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 695.086, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 811.011, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 803.107, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 876.847, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 967.401, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1002.24, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1130.87, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 22, \"algorithm\": \"small\", \"perf\": 1148.66, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 14, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 29, \"algorithm\": \"small\", \"perf\": 1201.59, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"small\", \"perf\": 1244.73, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 1321.81, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1408.73, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1399.14, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 1434.65, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1468.63, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1465.29, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1513.7, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1589.06, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1655.15, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 673.023, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 820.523, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 881.939, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 985.439, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1076.66, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1159.81, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1216.16, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1320.49, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 14, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1387.99, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1450.68, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1562.21, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1683.83, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1746.98, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 1909.47, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 739.478, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 788.035, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 899.345, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 977.24, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1079.15, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1156.27, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1200.41, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"small\", \"perf\": 1424.46, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1430.12, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1649.56, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1714.78, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1699.51, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1736.34, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1855.44, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2007.73, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 778.444, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 900.267, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1055.54, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1134.58, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 31, \"algorithm\": \"small\", \"perf\": 1140.6, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1299.36, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1390.57, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1485.47, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1637.4, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1839.11, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1911.78, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2109.0, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2277.75, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 860.916, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1000.64, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1113.25, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1222.28, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1340.32, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1427.34, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1540.8, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1640.26, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1742.4, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1697.46, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1769.59, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2000.29, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2029.71, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2060.4, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2083.24, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2144.74, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2284.62, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"w\": 20, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 2423.49, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 954.952, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1107.13, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1242.56, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1330.78, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1480.0, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1593.52, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1559.48, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1737.53, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1806.06, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1845.88, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2184.8, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2347.77, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2481.4, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"w\": 18, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2622.59, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 11, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1295.41, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1996.38, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2033.87, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2666.36, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2847.44, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1173.74, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1325.52, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1546.38, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1682.94, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1726.92, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1868.74, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1894.76, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2091.46, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2113.54, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2202.03, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2234.8, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2351.02, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2702.78, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2732.69, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2779.76, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2765.14, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2827.65, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2871.56, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 2958.27, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3093.75, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 14, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1419.58, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 14, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1669.01, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 14, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2003.97, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 14, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2039.36, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 14, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2259.2, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 14, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2302.99, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1348.37, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1546.97, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1772.98, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1785.74, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1943.93, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2022.26, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2142.76, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2344.95, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2529.91, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2666.91, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2972.37, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3045.61, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3115.16, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 15, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3398.71, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1415.25, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1641.81, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2142.4, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2511.85, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2709.65, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3030.93, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3309.3, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3282.83, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3262.78, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3332.59, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3344.17, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3556.08, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1689.82, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1894.77, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2190.95, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2114.96, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2377.29, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2318.77, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2632.97, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 2902.99, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3007.19, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3294.27, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3450.34, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3273.99, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3338.42, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3331.46, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3655.12, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 18, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3859.35, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1770.04, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1989.26, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2467.99, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2951.09, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3260.54, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3265.54, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3216.81, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3441.81, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2052.98, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3145.35, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3659.45, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3659.89, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3829.71, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 7, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1806.14, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2146.59, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2383.09, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2649.02, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3136.32, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3317.66, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3450.34, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3397.17, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 12, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3582.78, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3620.28, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3653.32, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3783.09, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3982.14, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1936.69, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2215.14, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2628.19, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2449.03, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2731.11, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2733.86, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 2953.23, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 12, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3298.26, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3426.08, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3505.14, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3773.85, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3498.49, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3659.75, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3824.72, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 12, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3646.0, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3892.24, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3902.61, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4079.71, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 18, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4143.38, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2079.27, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2380.74, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2483.36, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2910.84, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3567.41, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3836.11, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 4045.71, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 4046.67, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4257.19, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 18, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4221.01, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2238.05, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 2594.84, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3050.81, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2894.96, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3110.28, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3350.86, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3610.54, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 12, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3872.18, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4036.18, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4097.28, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4290.54, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 4360.05, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 4234.13, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 4422.21, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 4403.6, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 4629.35, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 22, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4466.05, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 4, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2610.09, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3051.24, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 6, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3459.66, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3238.9, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3460.4, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3675.17, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 10, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3810.88, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4175.4, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 15, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4264.49, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 16, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 4372.07, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 4155.14, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 25, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 4316.1, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4345.42, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 28, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 4423.47, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 4573.83, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 16, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4510.09, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 541.907, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 668.983, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 728.613, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 823.187, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 897.477, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 976.286, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1048.1, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1159.89, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1285.31, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1414.01, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1517.43, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1609.93, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 20, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 1810.71, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 688.008, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 843.302, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 912.045, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1022.77, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1169.34, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1222.46, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1295.96, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1427.22, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 14, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1494.58, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1584.38, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1715.32, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1877.0, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1967.52, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2144.28, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 772.552, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 930.07, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1011.15, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1126.38, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1237.8, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1299.28, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1414.98, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"small\", \"perf\": 1572.58, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 7, \"minblocks\": 11, \"algorithm\": \"small\", \"perf\": 1611.16, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 1680.72, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1852.2, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1974.34, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 2114.42, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2364.22, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 9, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 895.441, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 999.909, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1154.27, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1275.36, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1390.57, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1509.73, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1497.15, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1754.64, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1807.63, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2030.03, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2099.56, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2239.87, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2402.28, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 994.971, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1200.84, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1352.39, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1501.74, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 30, \"algorithm\": \"small\", \"perf\": 1446.78, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1627.41, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1740.4, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1900.43, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2086.19, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2232.4, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2388.81, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2678.54, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 20, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2727.44, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1071.69, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1275.03, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1465.47, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1637.3, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1684.27, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1758.87, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1902.88, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2077.93, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2200.36, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2109.3, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2381.98, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2548.89, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2781.56, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2878.68, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1206.76, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1428.35, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1655.24, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1682.38, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1880.39, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1950.99, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1991.33, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2190.54, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2309.77, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2353.44, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2666.9, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2897.84, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3061.53, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3128.69, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1404.74, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1614.78, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1840.31, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2049.42, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2066.87, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2216.03, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2264.45, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2521.09, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2623.53, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2683.09, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3134.82, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3299.49, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3433.42, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3658.66, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 14, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1717.72, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 14, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1992.06, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 14, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2358.63, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 14, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2427.5, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 14, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2707.47, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 14, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2749.16, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1612.3, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1828.19, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2117.95, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2123.38, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2357.3, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2384.5, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2569.41, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2779.97, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 15, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3003.16, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2007.57, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2369.16, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2291.06, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2556.54, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2736.61, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2909.11, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 3167.3, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3630.14, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4004.01, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4298.39, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2265.68, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2665.22, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2667.5, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2917.86, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 3131.94, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3288.12, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3522.55, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 4005.2, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 4508.07, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4822.94, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2691.45, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3178.99, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3142.51, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3420.92, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3677.99, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3993.33, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4327.3, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4710.91, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 4990.54, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 5361.37, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 4, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3216.16, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3700.91, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 6, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3598.84, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 7, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3938.73, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 8, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4223.37, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4447.05, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 10, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4571.89, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 5008.7, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5144.46, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 45, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"w\": 16, \"v\": 42, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5337.64, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 639.311, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 717.429, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 804.703, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 890.352, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 995.786, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1048.9, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1076.51, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1241.59, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1270.47, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1476.09, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1475.06, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1505.15, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1562.24, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1616.71, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 1834.34, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 731.578, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 820.064, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 936.871, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1040.45, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1144.06, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1212.28, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1242.03, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1444.39, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1486.25, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1639.9, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1681.6, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1704.16, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1732.76, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1835.27, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 1987.11, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 875.089, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 987.245, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1120.96, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1239.28, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1373.83, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1444.54, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1484.92, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1722.19, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1763.18, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1946.5, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2018.44, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2151.45, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 18, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2360.78, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1006.18, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1105.8, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1266.47, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1369.54, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1512.1, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1631.69, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 30, \"algorithm\": \"small\", \"perf\": 1709.52, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"small\", \"perf\": 1989.94, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1958.46, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2319.0, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2381.7, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2395.99, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2376.27, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2559.9, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2800.52, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1089.74, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1287.76, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1487.55, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1585.88, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 1598.17, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1808.1, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1903.0, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2083.1, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2212.88, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2449.1, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2570.4, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2822.93, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2875.97, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1130.19, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1308.44, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1481.58, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1608.52, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1765.1, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1903.57, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2035.66, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2149.9, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2157.07, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2508.62, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2565.35, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2592.0, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2668.36, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2793.76, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"w\": 18, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2950.97, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1255.1, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1434.2, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1643.13, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1770.27, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1948.43, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2114.01, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2051.3, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2232.77, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2371.43, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2759.48, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2973.98, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3112.95, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"w\": 18, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3243.98, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1605.48, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1786.43, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2027.98, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2291.22, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2248.43, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2461.21, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2453.09, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2740.55, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2923.83, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3423.29, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3481.81, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3549.4, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3594.92, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3588.43, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"w\": 18, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3868.06, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1846.87, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2064.75, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2361.22, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2341.06, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2592.26, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2631.44, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2722.98, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3035.03, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 15, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3232.25, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2287.7, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2388.81, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2580.15, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2816.84, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3045.93, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3161.36, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 10, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3378.25, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3846.27, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4197.84, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4651.97, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2394.63, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 5, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2616.1, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3010.77, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 9, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3451.78, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4078.33, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 25, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4555.55, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 26, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 4647.47, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 28, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4619.73, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 14, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4760.69, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 45, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5154.28, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2529.6, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2587.17, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2904.46, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3125.23, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 8, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3453.36, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 9, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3477.74, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 10, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3892.88, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4407.34, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 25, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4589.67, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 26, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4841.61, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 28, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4928.38, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 14, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5020.82, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 45, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5378.05, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2701.81, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2742.75, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 7, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 6, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3192.52, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 9, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3726.05, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4285.49, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 25, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 4853.0, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 26, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5084.03, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 28, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4938.27, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5228.3, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 45, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5567.58, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2989.9, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3142.24, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3474.95, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3672.05, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 8, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4061.69, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 9, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4344.62, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 10, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4725.22, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5153.31, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 22, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 5540.88, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 25, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 5394.94, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 26, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5234.34, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 28, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5399.28, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5587.2, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 45, \"tile_m\": 4, \"tile_n\": 2, \"w\": 22, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5835.16, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 4, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3576.15, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 5, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3740.99, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 6, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4004.07, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 7, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4371.16, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 8, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4727.22, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 9, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5003.77, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 10, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4975.24, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 13, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5373.34, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 25, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5636.15, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 26, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5722.39, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 28, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5819.76, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 32, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 6005.45, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 45, \"tile_m\": 4, \"tile_n\": 3, \"w\": 16, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5993.84, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 606.914, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 837.958, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 974.924, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1093.12, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 2, \"algorithm\": \"small\", \"perf\": 1028.78, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1200.49, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1321.75, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1430.33, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1565.38, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1828.03, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1869.97, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 2147.05, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 20, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2268.87, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 802.926, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 957.532, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1105.16, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1228.09, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"small\", \"perf\": 1184.43, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1360.12, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1456.54, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1570.5, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1737.16, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1900.07, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1981.89, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2171.81, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 20, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 2334.35, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 996.4, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1167.16, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1356.68, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1493.62, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 29, \"algorithm\": \"small\", \"perf\": 1440.17, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1632.02, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1762.52, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1926.53, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2084.41, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2248.38, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2375.17, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2677.96, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 20, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2709.65, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1123.52, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1337.95, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1543.68, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1689.95, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"small\", \"perf\": 1611.58, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1887.35, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2016.67, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2213.85, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2399.77, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2554.17, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2694.02, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2937.82, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 18, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2994.7, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1247.02, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1492.22, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1789.47, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1932.25, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 2043.87, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2153.75, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"small\", \"perf\": 2366.04, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2496.78, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2720.99, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 3046.92, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3179.17, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3675.79, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3688.73, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1311.16, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1537.98, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1728.05, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1924.27, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2022.7, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2186.37, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2313.65, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2461.93, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2499.73, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2828.01, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2935.09, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3233.33, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3378.4, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1488.84, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1727.8, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1957.64, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2028.95, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2264.3, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2414.0, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2387.38, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2571.88, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2792.22, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3155.92, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3378.59, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3501.95, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 10, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"w\": 18, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3626.51, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1872.49, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2048.56, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2355.9, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2139.99, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2656.15, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2826.71, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2789.08, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3094.79, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3306.99, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3840.13, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4040.1, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4088.06, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"w\": 18, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4308.09, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2147.21, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2368.54, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2656.5, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2716.78, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2993.02, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2934.25, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 3128.42, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3431.53, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 15, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3684.64, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2637.53, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2760.72, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3010.27, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3294.27, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3435.22, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 3584.83, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 10, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3869.34, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4382.83, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4719.59, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5291.57, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2623.22, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2891.13, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3285.24, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3569.74, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3659.43, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 9, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3863.66, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 10, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4164.08, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4739.11, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 26, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 5379.21, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 45, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5975.06, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3168.0, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3540.28, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3940.96, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 4168.74, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 8, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4502.51, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 9, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4715.06, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 10, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5126.73, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5481.4, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 22, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 12, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 5991.24, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6345.81, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3646.71, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 4011.65, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 6, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4422.18, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 7, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4843.01, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 8, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5142.17, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 9, \"tile_m\": 4, \"tile_n\": 3, \"w\": 4, \"v\": 36, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5410.71, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 10, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5617.98, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 13, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 5983.97, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 26, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6482.52, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 45, \"k\": 45, \"tile_m\": 4, \"tile_n\": 3, \"w\": 16, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6756.8, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 710.844, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 815.376, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 942.804, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1010.96, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1071.43, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1149.08, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1243.28, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1324.03, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1370.84, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1378.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1531.01, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1560.59, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1539.14, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1619.45, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"w\": 10, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 1755.88, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 1762.29, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 1888.7, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 873.445, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1009.45, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1137.93, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1247.22, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1283.29, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1361.01, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1426.84, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1562.27, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 14, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1629.97, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1589.56, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1667.41, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1797.57, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1819.02, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1891.64, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1804.17, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 1989.57, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2101.64, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 11, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1007.51, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 11, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1194.95, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1336.79, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1468.33, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1517.02, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1593.94, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1729.62, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1863.81, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 14, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1932.56, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1895.48, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2054.94, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2156.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2342.65, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 18, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2470.28, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1134.66, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1295.2, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1459.74, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1584.18, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1622.82, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 9, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 31, \"algorithm\": \"small\", \"perf\": 1762.91, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 10, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 29, \"algorithm\": \"small\", \"perf\": 1863.04, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 13, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 30, \"algorithm\": \"small\", \"perf\": 2034.91, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 15, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2006.67, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 22, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2304.32, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 25, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2359.03, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2396.49, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 28, \"tile_m\": 6, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2465.44, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 32, \"tile_m\": 6, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2553.77, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 45, \"tile_m\": 6, \"tile_n\": 1, \"w\": 18, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2676.63, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1251.3, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1424.2, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1624.13, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1736.48, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1860.93, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1972.75, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 10, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 31, \"algorithm\": \"small\", \"perf\": 1778.85, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2198.66, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 15, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2259.69, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 22, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2578.21, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2671.94, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 32, \"tile_m\": 6, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2951.74, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 45, \"tile_m\": 6, \"tile_n\": 1, \"w\": 20, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3020.51, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1372.24, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1609.35, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 31, \"algorithm\": \"small\", \"perf\": 1791.8, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1952.42, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"small\", \"perf\": 2109.24, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"small\", \"perf\": 2232.46, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"small\", \"perf\": 2374.72, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 2403.22, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 2477.89, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 2600.65, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2598.63, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2703.35, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2756.7, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2869.8, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2899.76, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2919.48, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2934.88, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 28, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3029.79, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3366.19, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3328.79, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1529.71, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1764.23, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1926.48, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2089.29, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2279.19, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2413.86, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2336.06, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2536.0, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2649.12, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2735.49, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2991.87, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3253.73, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"w\": 14, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3374.41, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"w\": 16, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3531.03, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 12, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2650.53, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 12, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2810.72, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 12, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3851.18, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1821.04, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2125.73, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2418.01, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2632.01, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2611.41, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2830.15, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2799.25, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3114.59, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3284.53, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 3291.07, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3396.47, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3724.85, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3721.87, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3842.3, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3864.06, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4001.25, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 4308.68, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 14, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2291.19, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 14, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2585.42, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 14, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3080.2, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 14, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3033.03, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 14, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3312.04, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 14, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3428.22, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2082.8, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2443.96, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2709.27, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2764.02, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2975.39, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2999.46, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3220.4, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 3542.47, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3671.84, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3848.73, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4191.79, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4139.01, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4294.04, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 15, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"w\": 16, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4758.73, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2243.19, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2631.95, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 3236.52, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3753.93, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3941.4, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4296.64, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4327.97, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4564.08, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4635.78, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4554.54, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4584.05, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"w\": 16, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5128.18, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 3055.67, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 16, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3928.08, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 17, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3805.21, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3983.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 23, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4001.63, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2663.32, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2717.52, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2995.64, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 6, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3260.49, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 8, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3491.18, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3612.59, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 10, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4031.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4298.5, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 15, \"tile_m\": 5, \"tile_n\": 2, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4511.66, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 16, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4701.77, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 17, \"tile_m\": 5, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4495.4, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4712.36, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 23, \"tile_m\": 5, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4839.33, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 25, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4979.77, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4993.16, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"w\": 14, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5296.36, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 16, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5710.88, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2762.09, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2855.41, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3842.44, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4545.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 16, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4785.32, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 17, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4720.74, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4775.08, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 23, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4804.12, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5020.53, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2631.81, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3069.39, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 4011.15, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4700.26, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 15, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4822.94, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 16, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4026.6, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5138.24, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 25, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5203.54, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5297.37, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 16, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6026.28, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2787.22, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2980.3, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 3361.91, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 6, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3650.41, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 8, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3934.0, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4043.49, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 10, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4546.87, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4892.2, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 15, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4764.04, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 16, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5287.3, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5173.75, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 23, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 5309.35, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 25, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5393.39, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5494.34, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 16, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6214.33, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3284.95, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3622.63, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 4045.4, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4383.98, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 8, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4856.13, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5049.29, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 10, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5503.15, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5860.99, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 6197.5, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6675.51, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3868.88, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4228.88, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4508.08, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 7, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 5039.34, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 8, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5267.08, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 9, \"tile_m\": 5, \"tile_n\": 3, \"w\": 4, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5455.57, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 10, \"tile_m\": 5, \"tile_n\": 3, \"w\": 4, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5618.95, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 13, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 6179.09, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 15, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 6286.45, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 16, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 6428.45, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 22, \"tile_m\": 5, \"tile_n\": 3, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6611.86, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 25, \"tile_m\": 5, \"tile_n\": 3, \"w\": 12, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6788.31, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 26, \"tile_m\": 5, \"tile_n\": 3, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6887.5, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 45, \"tile_m\": 5, \"tile_n\": 3, \"w\": 16, \"v\": 38, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7267.09, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 818.08, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 958.494, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1114.04, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1144.91, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1274.91, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1358.16, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1368.63, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1531.02, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1669.97, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1911.27, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2044.86, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2166.9, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2262.96, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1029.37, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1214.56, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1364.06, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1393.91, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1545.46, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1662.4, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1657.68, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1819.42, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1922.12, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1982.78, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2259.01, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2381.21, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2563.14, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2674.95, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1208.74, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1428.52, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1645.23, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1673.6, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1884.36, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1976.12, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2012.36, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2192.47, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2298.49, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2369.16, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 2654.98, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 2910.0, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3065.6, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3117.86, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1244.33, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1460.35, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1664.23, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1773.35, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1947.82, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2106.57, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2033.78, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2247.62, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2395.03, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2747.18, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2839.46, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3009.27, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3117.73, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1494.72, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1717.99, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1952.75, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2008.78, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2248.81, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2347.81, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2323.16, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2524.04, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2738.08, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3087.14, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3206.76, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3426.97, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3377.11, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1603.01, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1888.7, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2110.75, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2338.62, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2474.5, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2624.44, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2607.19, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2822.2, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2944.85, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3033.14, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3342.82, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3509.34, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3778.23, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3768.62, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1781.14, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2041.45, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2308.41, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1979.33, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2642.83, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2783.27, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2787.03, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3038.33, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3166.62, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3249.53, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3623.13, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3867.38, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 4149.96, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 4138.59, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 12, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3283.3, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2048.89, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2361.66, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2681.25, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2939.32, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2927.74, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3165.72, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3101.95, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3462.17, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3599.15, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3681.55, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4084.07, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4214.03, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4352.82, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 13, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4612.58, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 14, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2526.26, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 14, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2875.5, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 14, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3371.04, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 14, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3301.95, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 14, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3680.4, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 14, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 3833.06, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2377.92, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2697.47, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3054.19, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3090.03, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3379.43, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 3332.55, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3509.87, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3880.52, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4058.25, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2930.06, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3135.69, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3273.75, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 3596.1, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 8, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3821.35, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 4117.71, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 10, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4408.43, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4960.37, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5254.9, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 22, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5831.24, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2999.5, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3355.41, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 3693.46, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4026.32, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 8, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4428.49, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 4726.84, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 10, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4994.36, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5488.73, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5985.94, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 26, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6841.58, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3618.08, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 4050.43, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 4445.83, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4739.21, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 8, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5250.23, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5615.79, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 10, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6235.71, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6260.73, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 6717.52, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 32, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7287.08, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4121.85, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 5, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4608.32, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 6, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4935.3, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 7, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 5454.68, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 8, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5746.48, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 9, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5949.0, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 10, \"tile_m\": 5, \"tile_n\": 3, \"w\": 4, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5818.28, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 13, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 6741.74, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 26, \"tile_m\": 5, \"tile_n\": 3, \"w\": 12, \"v\": 42, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7492.74, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 45, \"k\": 45, \"tile_m\": 5, \"tile_n\": 3, \"w\": 16, \"v\": 42, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7902.34, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"small\", \"perf\": 3233.34, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 4018.53, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 11, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 977.366, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1076.48, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1239.71, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1394.29, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1374.27, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1459.1, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1515.22, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1727.97, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1812.41, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1871.37, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"w\": 8, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2169.81, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"w\": 8, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2194.78, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2214.5, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2264.94, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2379.83, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2413.62, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1107.91, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 6, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1235.14, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1431.48, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1526.0, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1547.34, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1631.33, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1663.82, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1880.45, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 14, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1929.2, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1963.04, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2026.94, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2299.29, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2322.15, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2339.34, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2325.35, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2407.23, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2484.85, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1348.44, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1463.01, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1674.71, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1770.93, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1847.55, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 6, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1928.55, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2017.44, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2208.24, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2269.26, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 15, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2300.7, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2639.66, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2738.31, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2898.51, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2403.76, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1514.17, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1618.23, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1850.0, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2006.43, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2040.19, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2182.35, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 7, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2150.8, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2488.16, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2477.59, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 22, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2829.9, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2929.86, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2995.28, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3184.46, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1711.3, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1874.46, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2122.39, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2253.34, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2293.15, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2440.71, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2460.85, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 7, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2677.48, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2773.58, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 22, \"tile_m\": 8, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3251.02, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 26, \"tile_m\": 8, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3372.62, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 32, \"tile_m\": 8, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3446.21, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 18, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3566.38, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1750.83, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1966.84, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2168.13, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2416.68, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 13, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 2344.79, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2478.95, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2506.67, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2801.98, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2917.73, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 15, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2908.6, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3023.55, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3268.56, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3262.84, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3353.48, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3350.34, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3514.39, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 45, \"tile_m\": 7, \"tile_n\": 1, \"w\": 18, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3667.58, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1918.24, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2115.02, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2394.76, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2652.11, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2595.41, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2769.44, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2814.73, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3080.09, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3225.1, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 15, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3212.64, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3689.1, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3840.65, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"w\": 14, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3893.92, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 10, \"k\": 45, \"tile_m\": 7, \"tile_n\": 1, \"w\": 18, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4168.96, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2456.47, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2691.31, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3070.59, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3353.27, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 8, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3354.04, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 9, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3530.11, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3727.15, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4038.38, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4097.54, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 15, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 4096.59, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 16, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 4281.51, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 17, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4339.6, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4803.05, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4749.45, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 4800.82, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 16, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 4824.78, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 5001.25, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 45, \"tile_m\": 7, \"tile_n\": 1, \"w\": 18, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5085.14, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 14, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2928.41, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 14, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3302.85, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 14, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3760.52, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 14, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3728.13, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 14, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 4079.18, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 14, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4188.65, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2732.9, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3117.65, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3548.71, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 7, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3498.1, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 8, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3760.21, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3795.19, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3956.61, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4279.82, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 15, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4381.75, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4552.84, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4942.04, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4976.04, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"w\": 12, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5066.52, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 15, \"k\": 45, \"tile_m\": 7, \"tile_n\": 1, \"w\": 18, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5642.43, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2951.97, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3389.6, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4105.05, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4586.43, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 15, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4752.15, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 16, \"tile_m\": 8, \"tile_n\": 1, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5207.05, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5421.35, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5360.9, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"w\": 12, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5384.71, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5508.85, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 45, \"tile_m\": 7, \"tile_n\": 1, \"w\": 18, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6087.73, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 13, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4423.08, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 17, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4739.19, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 23, \"tile_m\": 4, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4970.27, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 4, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3466.7, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 5, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3665.46, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 6, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3765.51, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 7, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4216.05, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 8, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4517.8, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 9, \"tile_m\": 4, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4683.59, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 10, \"tile_m\": 4, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4943.23, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 13, \"tile_m\": 4, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5509.87, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 15, \"tile_m\": 4, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5450.47, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5589.05, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 22, \"tile_m\": 4, \"tile_n\": 3, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5930.24, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 23, \"tile_m\": 4, \"tile_n\": 3, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5963.8, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 25, \"tile_m\": 4, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6032.25, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 26, \"tile_m\": 4, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6137.23, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 32, \"tile_m\": 4, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6495.88, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 45, \"tile_m\": 4, \"tile_n\": 3, \"w\": 16, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6822.48, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 4, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3541.66, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 5, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3856.78, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 9, \"tile_m\": 4, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4863.31, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 13, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4470.93, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5831.23, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 17, \"tile_m\": 4, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5760.49, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 22, \"tile_m\": 4, \"tile_n\": 3, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5947.63, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 23, \"tile_m\": 4, \"tile_n\": 3, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6059.14, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 26, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 6273.0, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3420.12, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3880.82, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 9, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 5090.76, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 13, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5620.11, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 15, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5755.14, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5835.78, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 22, \"tile_m\": 7, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6255.6, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 25, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6457.26, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 26, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6533.86, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 45, \"tile_m\": 7, \"tile_n\": 2, \"w\": 16, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7223.29, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3569.44, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3742.47, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 6, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4314.71, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 7, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4722.15, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 8, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 5117.97, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 9, \"tile_m\": 8, \"tile_n\": 2, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5359.67, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 10, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5524.6, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 13, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6023.81, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 15, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6061.65, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6161.38, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 22, \"tile_m\": 7, \"tile_n\": 2, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6492.57, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 23, \"tile_m\": 7, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6518.38, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 25, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6674.89, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 26, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6788.22, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 45, \"tile_m\": 7, \"tile_n\": 2, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7634.1, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4044.3, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 7, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 4497.08, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 6, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5072.69, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 7, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 5519.49, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 8, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 6180.15, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 9, \"tile_m\": 7, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6772.46, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 10, \"tile_m\": 7, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6923.96, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 13, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6914.81, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 22, \"tile_m\": 7, \"tile_n\": 2, \"w\": 8, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7631.17, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 32, \"tile_m\": 7, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8494.25, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4659.1, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 5, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 4834.22, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 6, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 5338.72, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 7, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 5473.87, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 8, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5602.07, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 9, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6714.8, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 10, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6762.51, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 13, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7217.62, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 15, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7549.66, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 16, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7759.33, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 22, \"tile_m\": 7, \"tile_n\": 3, \"w\": 8, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8503.32, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 25, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 34, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8656.55, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 26, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8825.26, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 45, \"tile_m\": 7, \"tile_n\": 3, \"w\": 16, \"v\": 42, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9449.72, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1416.79, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1621.26, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1897.88, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1941.25, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2162.99, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 5, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2253.58, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1686.34, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1871.58, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2250.28, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2337.77, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2600.81, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 6, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2671.13, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2239.34, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2474.9, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2942.9, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 9, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 7, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2904.13, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 3256.55, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 9, \"k\": 14, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 3357.4, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2469.14, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2753.02, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 10, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3261.51, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3223.1, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 10, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3568.58, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 10, \"k\": 14, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3671.56, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 13, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2986.05, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 13, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3318.35, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3744.56, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 13, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3775.81, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 13, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 4160.93, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 13, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4173.22, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3153.8, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3511.54, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 4096.8, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 4271.49, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 4580.05, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 4652.3, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1165.09, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1264.66, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1428.85, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1568.26, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1636.37, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1661.17, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1780.71, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1970.62, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 2158.95, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2178.69, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2516.14, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2565.45, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2570.29, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2719.88, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1332.45, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1485.7, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1673.62, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1702.43, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1886.49, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1935.63, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2004.97, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2217.02, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2428.66, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2494.54, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2730.06, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2817.61, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2833.82, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3095.4, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1617.63, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1732.79, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2006.76, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2025.33, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2263.6, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2239.92, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2444.37, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2630.63, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 6, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2865.11, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1851.64, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1678.54, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2286.81, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2342.37, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2558.99, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2550.08, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2675.07, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2984.9, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 7, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3041.49, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2114.12, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2266.57, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2597.88, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2166.42, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2903.91, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2824.75, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 3042.78, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 3290.43, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 8, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3451.56, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2073.07, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2360.88, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2704.45, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2686.67, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2921.98, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2972.32, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 10, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 3147.84, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3507.09, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 15, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3685.2, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3826.91, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4107.75, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4176.56, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4143.7, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 9, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"w\": 18, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4674.54, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2315.09, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2620.33, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 6, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2965.2, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2975.43, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3246.01, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3278.61, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3415.01, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3765.66, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 15, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3922.45, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2746.13, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3218.83, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 6, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3604.45, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3619.69, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3891.49, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3863.2, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 10, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4080.77, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4411.99, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 15, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4596.88, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4684.39, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5056.57, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5138.59, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5185.67, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 13, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 18, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5934.92, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 4, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3225.04, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 13, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3558.17, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 6, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3970.53, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 13, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 4039.72, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 8, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4414.95, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 4563.95, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 10, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 4836.06, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 5151.26, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5264.12, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5520.38, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 6031.12, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 6089.56, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 6170.64, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 16, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6653.05, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3374.94, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3916.39, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4591.32, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5240.93, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 15, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 5393.6, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5820.0, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6010.98, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6080.93, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6105.59, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 16, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 18, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7056.42, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 4, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3862.11, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 5, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4198.26, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 9, \"tile_m\": 4, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5409.06, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6408.17, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 15, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6450.13, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6467.33, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6749.32, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 25, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7019.49, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7063.94, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 22, \"k\": 45, \"tile_m\": 2, \"tile_n\": 6, \"w\": 16, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8013.65, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 4, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3836.29, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4319.97, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 9, \"tile_m\": 8, \"tile_n\": 2, \"w\": 4, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5468.77, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 13, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6259.98, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 15, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6355.52, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 16, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6472.19, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 22, \"tile_m\": 8, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6938.83, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7210.09, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7312.96, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 7, \"w\": 20, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7949.89, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3989.74, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4125.36, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 9, \"tile_m\": 8, \"tile_n\": 2, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5998.46, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 13, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6449.66, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 15, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6692.9, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 16, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6765.12, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 22, \"tile_m\": 8, \"tile_n\": 2, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7234.63, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7407.38, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7541.39, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 26, \"k\": 45, \"tile_m\": 2, \"tile_n\": 7, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8432.03, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 4, \"tile_m\": 8, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 5127.37, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 5, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5375.88, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 9, \"tile_m\": 8, \"tile_n\": 3, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7269.02, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 13, \"tile_m\": 4, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7853.63, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 15, \"tile_m\": 4, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8326.8, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 16, \"tile_m\": 4, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8656.55, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 22, \"tile_m\": 4, \"tile_n\": 6, \"w\": 8, \"v\": 36, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9261.0, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 25, \"tile_m\": 4, \"tile_n\": 6, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9440.87, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 26, \"tile_m\": 4, \"tile_n\": 6, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9518.61, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 45, \"k\": 45, \"tile_m\": 4, \"tile_n\": 6, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10255.8, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1090.57, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1389.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1894.14, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2271.45, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2471.08, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2529.19, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2850.37, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2811.42, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2376.43, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3048.57, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1376.55, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1645.29, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2077.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2451.67, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2637.61, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2768.76, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"w\": 8, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2437.47, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2983.1, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3030.48, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"w\": 10, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3055.29, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3376.05, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2228.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2601.75, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 7, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3175.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3839.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 15, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3966.0, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4221.1, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4224.92, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4486.54, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4511.62, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4480.87, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4501.41, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5026.12, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2968.82, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3398.83, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 4138.31, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4718.44, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 15, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4825.63, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5248.09, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5385.21, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5372.94, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5450.53, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5484.65, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 16, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6306.42, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 4, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3339.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3903.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4640.62, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 5332.72, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 5390.91, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5820.0, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5961.23, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6052.31, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6129.57, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 15, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 18, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7047.21, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3675.79, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 4142.2, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 5402.53, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6045.47, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 15, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6225.61, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6791.07, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6770.39, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 7039.27, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 6816.94, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 12, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 6844.62, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 7131.11, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 7500.72, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 4937.03, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5990.86, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5981.18, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 5, \"w\": 8, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6168.88, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 5, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6185.79, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4387.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 5, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4567.77, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 9, \"tile_m\": 4, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5818.22, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5385.21, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 15, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6895.1, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7039.27, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 6, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6861.91, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7282.75, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7285.03, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 25, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7504.48, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7626.93, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 45, \"tile_m\": 2, \"tile_n\": 6, \"w\": 16, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8471.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4685.38, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4841.26, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 6649.6, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6975.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6824.38, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7380.19, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 6, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7501.46, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 4, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4123.48, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 5, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4742.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 9, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5919.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 13, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 6584.34, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 15, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6634.35, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6827.59, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 22, \"tile_m\": 2, \"tile_n\": 7, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7532.3, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7726.41, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7843.62, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 7, \"w\": 16, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8664.88, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4357.38, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4567.84, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 6197.19, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6885.48, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 15, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7031.86, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 16, \"tile_m\": 8, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7078.04, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 7, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7806.87, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7982.03, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8128.76, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 45, \"tile_m\": 2, \"tile_n\": 7, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9007.14, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 4, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 5259.52, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 5, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 5909.94, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 9, \"tile_m\": 8, \"tile_n\": 3, \"w\": 4, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7619.94, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 13, \"tile_m\": 4, \"tile_n\": 6, \"w\": 6, \"v\": 40, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8412.33, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 15, \"tile_m\": 4, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8874.62, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 16, \"tile_m\": 4, \"tile_n\": 6, \"w\": 6, \"v\": 34, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9293.23, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 22, \"tile_m\": 4, \"tile_n\": 6, \"w\": 8, \"v\": 42, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9994.71, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 25, \"tile_m\": 4, \"tile_n\": 6, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10121.2, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 26, \"tile_m\": 4, \"tile_n\": 6, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10277.6, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 45, \"k\": 45, \"tile_m\": 8, \"tile_n\": 3, \"w\": 16, \"v\": 42, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10872.2, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3190.14, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4011.74, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3952.62, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4212.32, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4217.37, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4543.71, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 17, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4929.83, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5200.74, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 9, \"tile_m\": 10, \"tile_n\": 1, \"w\": 4, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4801.5, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5771.14, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 17, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5772.19, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 22, \"tile_m\": 9, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6022.0, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 23, \"tile_m\": 9, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6083.56, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4721.98, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5303.16, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6189.27, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 5822.91, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 6345.18, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6000.97, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5407.47, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6487.58, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6570.23, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7002.75, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7113.27, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5695.95, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 6422.64, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6568.88, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6635.81, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7174.56, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7284.06, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 18, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 6874.1, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 19, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 6618.47, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4279.98, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 12, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4350.62, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 20, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4980.81, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5089.47, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 14, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5450.62, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 11, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4557.08, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4656.0, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 20, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5376.82, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5467.85, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5921.69, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 11, \"tile_m\": 5, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6510.91, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 20, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 11, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 7437.27, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 25, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 7624.33, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 32, \"tile_m\": 5, \"tile_n\": 3, \"w\": 12, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8020.88, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 11, \"tile_m\": 10, \"tile_n\": 2, \"w\": 4, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6891.51, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 12, \"tile_m\": 10, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6661.35, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 20, \"tile_m\": 10, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7998.23, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 25, \"tile_m\": 5, \"tile_n\": 4, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8126.46, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 32, \"tile_m\": 10, \"tile_n\": 2, \"w\": 12, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8832.78, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 32, \"k\": 12, \"tile_m\": 10, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8635.14, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 32, \"k\": 20, \"tile_m\": 10, \"tile_n\": 2, \"w\": 8, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 9826.55, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 32, \"k\": 25, \"tile_m\": 10, \"tile_n\": 2, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10297.0, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 32, \"k\": 32, \"tile_m\": 10, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11041.9, \"source\": \"autotuned\"},\n{\"m\": 21, \"n\": 21, \"k\": 21, \"tile_m\": 6, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7084.29, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1463.29, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 7, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1648.9, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1835.01, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2024.95, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2041.22, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2091.83, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2217.32, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2514.52, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2621.6, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2705.94, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2790.5, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2831.65, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2869.21, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2781.62, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 11, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2925.11, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3097.94, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1684.97, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1897.14, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2100.71, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2074.72, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2218.12, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2290.17, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2458.62, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2779.59, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2876.89, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2981.82, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2511.16, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3140.91, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3071.01, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3126.66, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3257.26, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3444.95, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1941.16, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2258.4, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2201.1, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2413.77, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2636.63, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2222.92, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2873.24, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3251.02, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3558.85, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3891.91, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2266.66, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2419.29, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2494.97, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2803.52, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2992.68, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 7, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3151.78, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 7, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 3256.83, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3718.9, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4023.42, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 7, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4417.15, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2607.65, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2725.31, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2841.68, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3133.45, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 7, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3383.64, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 7, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 3534.57, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3763.01, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4249.38, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4614.63, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5057.24, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2541.43, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2664.51, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 6, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2891.41, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 7, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 3245.23, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3418.02, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3594.9, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 10, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3838.41, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4217.53, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 15, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4364.2, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 16, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4428.03, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 17, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4527.64, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4622.38, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 23, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4702.78, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 25, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4781.02, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4808.22, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 14, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5152.83, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5475.8, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 4, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2897.68, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2958.64, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 6, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3152.18, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 7, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 6, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 3486.24, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3787.29, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3954.65, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 10, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4172.71, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"w\": 6, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4794.12, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5209.66, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 10, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5702.19, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3582.83, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3771.78, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 6, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 7, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3866.07, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 7, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 4388.52, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 8, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4619.93, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 4869.61, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 10, \"tile_m\": 3, \"tile_n\": 4, \"w\": 4, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5129.35, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5493.59, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 15, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5651.46, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5623.38, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5956.44, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6098.29, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5042.7, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6301.88, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6640.37, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 45, \"tile_m\": 3, \"tile_n\": 4, \"w\": 16, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7131.11, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3961.24, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4275.95, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5471.32, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6222.34, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 15, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6400.1, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6483.2, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6776.61, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7053.49, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7048.47, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 15, \"k\": 45, \"tile_m\": 3, \"tile_n\": 4, \"w\": 16, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8005.02, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 4397.94, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4610.49, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6109.88, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6960.11, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 15, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6803.33, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7012.98, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 17, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6880.31, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7273.63, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7344.5, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7636.86, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7719.11, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 45, \"tile_m\": 3, \"tile_n\": 4, \"w\": 16, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8552.51, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 5308.02, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6450.29, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6507.49, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6963.26, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7093.72, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 4727.27, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4934.28, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 6, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5112.02, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 7, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5445.73, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 192, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5704.29, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 9, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6379.74, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 10, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6677.95, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 13, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7206.83, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 15, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7418.05, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7654.57, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 17, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7733.08, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 6, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8482.61, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 23, \"tile_m\": 3, \"tile_n\": 6, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8465.9, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 25, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8739.19, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 26, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8790.46, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 32, \"tile_m\": 3, \"tile_n\": 6, \"w\": 12, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9221.93, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 45, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9846.4, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 4908.2, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5151.74, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 9, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5299.06, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7254.75, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7784.55, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7834.31, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 22, \"tile_m\": 3, \"tile_n\": 6, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8583.36, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8664.08, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 26, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8916.06, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4821.84, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5479.8, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 9, \"tile_m\": 11, \"tile_n\": 2, \"w\": 4, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6340.01, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 13, \"tile_m\": 11, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7009.7, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 15, \"tile_m\": 11, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7213.79, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 16, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7386.92, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 22, \"tile_m\": 3, \"tile_n\": 7, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8557.94, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 25, \"tile_m\": 3, \"tile_n\": 7, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8894.78, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 26, \"tile_m\": 3, \"tile_n\": 7, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8977.7, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 25, \"k\": 45, \"tile_m\": 3, \"tile_n\": 7, \"w\": 16, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9766.36, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 5079.26, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5117.88, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 9, \"tile_m\": 11, \"tile_n\": 2, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6826.7, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 13, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7416.08, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 15, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7595.29, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 16, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7871.76, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 22, \"tile_m\": 3, \"tile_n\": 7, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9002.1, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 23, \"tile_m\": 3, \"tile_n\": 7, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9101.05, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 25, \"tile_m\": 3, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9175.41, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9282.43, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 45, \"tile_m\": 3, \"tile_n\": 7, \"w\": 16, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10111.8, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5636.58, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 6257.88, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 6, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 224, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6132.54, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 7, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 6584.43, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 7015.89, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 9, \"tile_m\": 11, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8416.97, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 10, \"tile_m\": 11, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8324.11, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 13, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8680.33, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 22, \"tile_m\": 3, \"tile_n\": 8, \"w\": 8, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10463.4, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 8, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11246.9, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 6144.63, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 6546.78, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 9, \"tile_m\": 11, \"tile_n\": 3, \"w\": 4, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8564.49, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 13, \"tile_m\": 11, \"tile_n\": 3, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9636.24, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 15, \"tile_m\": 11, \"tile_n\": 3, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10089.2, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 16, \"tile_m\": 11, \"tile_n\": 3, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10403.8, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 22, \"tile_m\": 11, \"tile_n\": 3, \"w\": 8, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10959.2, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 25, \"tile_m\": 11, \"tile_n\": 3, \"w\": 10, \"v\": 36, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 11388.1, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 26, \"tile_m\": 11, \"tile_n\": 3, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11659.5, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 45, \"k\": 45, \"tile_m\": 11, \"tile_n\": 3, \"w\": 10, \"v\": 36, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 12160.4, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1509.42, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1689.17, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2174.29, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2559.64, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2859.65, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2784.35, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2915.14, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1744.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1965.63, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2422.28, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2793.31, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 3070.18, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3156.58, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3117.32, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3310.39, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2664.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2790.63, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3717.25, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4339.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 16, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4609.97, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 17, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4545.97, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4761.77, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 23, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4788.02, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4903.17, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3659.75, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3148.35, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4989.51, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5567.85, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5984.36, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 17, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5760.49, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6242.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6240.53, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6451.68, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4735.61, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6247.08, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6972.55, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7133.44, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 17, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7076.47, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7461.79, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7519.22, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 5720.64, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6409.15, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6638.57, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6704.95, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7134.9, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7258.59, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4952.22, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 5133.45, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 9, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6614.85, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 13, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7396.09, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7844.88, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 17, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7977.15, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 6, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8777.31, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 23, \"tile_m\": 3, \"tile_n\": 6, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8742.16, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 26, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9086.38, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 5102.85, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 5421.78, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 9, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6832.84, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7669.06, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7999.98, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8072.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 22, \"tile_m\": 3, \"tile_n\": 6, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8882.23, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 6, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8935.98, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 26, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 9233.76, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5194.85, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5310.14, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 9, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7074.48, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 13, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7643.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 22, \"tile_m\": 3, \"tile_n\": 7, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 9368.85, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 23, \"tile_m\": 3, \"tile_n\": 7, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9397.74, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9600.53, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2037.99, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2979.45, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3373.42, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3405.32, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3556.67, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4047.96, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6073.75, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 24, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6733.9, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6797.99, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7279.24, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 5976.97, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 13, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8237.18, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 3, \"tile_n\": 6, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10238.1, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 26, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8609.59, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 32, \"tile_m\": 3, \"tile_n\": 6, \"w\": 12, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10761.3, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 160, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 5413.66, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 13, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7782.48, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 24, \"tile_m\": 3, \"tile_n\": 7, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9973.82, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 7, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10155.9, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 32, \"tile_m\": 3, \"tile_n\": 7, \"w\": 12, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 10592.7, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 6742.89, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 13, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9310.55, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 8, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 11435.5, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 8, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11561.4, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 8, \"w\": 12, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 12080.4, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1523.63, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1787.04, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2176.98, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2344.95, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2668.41, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2834.42, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 2907.73, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 2899.46, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3146.43, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3007.59, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3007.65, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 12, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3140.29, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"w\": 22, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3309.86, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 7, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1805.36, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2115.0, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 6, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2263.78, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2599.51, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 2991.21, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3117.32, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3230.29, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3260.28, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3401.5, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3426.93, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3438.06, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3472.3, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3535.88, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2348.8, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 13, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 2538.08, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2898.94, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3252.27, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3792.85, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 11, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 4071.04, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4093.01, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 11, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 4124.71, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 4228.8, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4486.88, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2597.93, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2948.75, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3344.99, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 11, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 3613.97, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4200.88, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 15, \"tile_m\": 3, \"tile_n\": 3, \"w\": 6, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4341.26, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4395.19, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4627.61, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 25, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4757.69, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4820.29, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 28, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4901.71, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5025.99, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5327.81, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 4562.3, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 12, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4524.03, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 20, \"tile_m\": 5, \"tile_n\": 2, \"w\": 8, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5006.11, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 25, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4273.29, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"w\": 14, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5520.12, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 12, \"k\": 11, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 4733.79, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4951.13, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 12, \"k\": 20, \"tile_m\": 5, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5533.38, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3222.37, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3621.44, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 7, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4098.9, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 9, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4406.5, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 13, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4966.3, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 14, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5102.49, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 15, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5124.19, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5163.76, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 22, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5489.05, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 25, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5609.07, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 26, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5739.68, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 28, \"tile_m\": 5, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5780.81, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 32, \"tile_m\": 7, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5937.93, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 45, \"tile_m\": 7, \"tile_n\": 2, \"w\": 20, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6204.23, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 13, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5459.52, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 14, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5488.84, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 26, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6205.07, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 32, \"tile_m\": 7, \"tile_n\": 2, \"w\": 12, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6393.48, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3750.0, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4274.03, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 9, \"tile_m\": 7, \"tile_n\": 2, \"w\": 4, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5102.35, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 13, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5655.03, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 15, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5838.9, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5936.57, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 22, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6253.53, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 25, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6410.07, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 26, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6449.01, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 15, \"k\": 45, \"tile_m\": 7, \"tile_n\": 2, \"w\": 16, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7116.47, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 3918.68, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4469.01, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 9, \"tile_m\": 7, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5574.5, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 13, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6312.65, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 15, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6425.99, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6440.64, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 22, \"tile_m\": 7, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6736.8, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 25, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6941.79, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 26, \"tile_m\": 7, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6989.87, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 16, \"k\": 45, \"tile_m\": 7, \"tile_n\": 2, \"w\": 16, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7573.87, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 11, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6485.33, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 12, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6583.41, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 20, \"tile_m\": 7, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7360.65, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 25, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7764.79, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 32, \"tile_m\": 7, \"tile_n\": 3, \"w\": 12, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8086.06, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4411.96, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 14, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 4912.25, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 9, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6836.01, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 13, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7280.86, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 15, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7479.68, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 16, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7623.63, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 22, \"tile_m\": 7, \"tile_n\": 3, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8243.21, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 25, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8555.44, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 26, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8539.98, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 22, \"k\": 45, \"tile_m\": 7, \"tile_n\": 3, \"w\": 18, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9163.88, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4803.65, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5291.54, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 7, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5642.07, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 9, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6669.41, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 11, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6972.44, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 12, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7218.42, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 13, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6045.78, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 14, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7466.08, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 15, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7626.4, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 16, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7734.38, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 20, \"tile_m\": 7, \"tile_n\": 4, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8177.83, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 22, \"tile_m\": 7, \"tile_n\": 4, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8407.27, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 25, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8608.34, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 26, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8517.94, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 28, \"tile_m\": 5, \"tile_n\": 5, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8738.17, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 32, \"tile_m\": 7, \"tile_n\": 4, \"w\": 12, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8924.72, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 45, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9300.43, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 4946.86, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 160, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5171.29, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 7, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5746.74, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 9, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7022.19, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 13, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7771.35, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 14, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7906.35, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 15, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8047.07, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 16, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8230.42, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 22, \"tile_m\": 7, \"tile_n\": 4, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8835.37, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 25, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8911.77, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 26, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9012.95, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 28, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9157.79, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 32, \"tile_m\": 7, \"tile_n\": 4, \"w\": 12, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9377.93, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 45, \"tile_m\": 7, \"tile_n\": 4, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9760.64, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 5375.96, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 5484.74, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 7, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 224, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 5858.4, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 9, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7538.24, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 13, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8096.21, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 25, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9555.39, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 28, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9804.7, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 32, \"tile_m\": 7, \"tile_n\": 4, \"w\": 12, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10149.6, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 45, \"tile_m\": 7, \"tile_n\": 4, \"w\": 16, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10340.1, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 160, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 5320.22, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 192, \"grouping\": 31, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5759.96, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 7, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 256, \"grouping\": 31, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6126.6, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 9, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8574.11, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 11, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8811.56, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 12, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9116.77, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 13, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9176.64, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 14, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9391.03, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 20, \"tile_m\": 7, \"tile_n\": 4, \"w\": 8, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10386.1, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 25, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10734.9, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 26, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10849.9, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 28, \"tile_m\": 7, \"tile_n\": 4, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11136.7, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 32, \"tile_m\": 7, \"tile_n\": 4, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11279.4, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 45, \"tile_m\": 7, \"tile_n\": 4, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11662.9, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 31, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 5498.46, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 256, \"grouping\": 31, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5898.07, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 7, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 6075.16, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 9, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 28, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7818.96, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 13, \"tile_m\": 7, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9798.77, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 15, \"tile_m\": 7, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10303.3, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 16, \"tile_m\": 7, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10523.5, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 22, \"tile_m\": 7, \"tile_n\": 6, \"w\": 8, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11469.0, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 25, \"tile_m\": 7, \"tile_n\": 6, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11495.7, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 26, \"tile_m\": 7, \"tile_n\": 6, \"w\": 12, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11618.5, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 28, \"tile_m\": 7, \"tile_n\": 6, \"w\": 12, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11802.9, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 32, \"tile_m\": 7, \"tile_n\": 6, \"w\": 12, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 12097.8, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 45, \"tile_m\": 7, \"tile_n\": 6, \"w\": 12, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 12279.5, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 7, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1587.07, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1828.07, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2094.61, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2229.8, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2281.41, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2415.52, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2435.41, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2769.47, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2366.62, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2979.2, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2964.66, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3050.42, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 3223.81, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3050.29, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"w\": 22, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3351.08, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1918.83, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2191.57, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 2490.31, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2362.49, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 7, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2555.56, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2695.45, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2858.73, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3108.4, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3200.34, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3331.71, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 3349.99, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3453.73, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3491.96, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3520.71, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3645.24, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 2205.64, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 2553.47, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2578.23, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 2841.28, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2945.01, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3111.47, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3306.99, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3666.21, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 12, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3913.76, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 6, \"w\": 16, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4534.35, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 2402.92, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 6, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2439.94, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2787.88, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2965.25, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3217.8, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3359.57, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3516.87, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3909.38, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 11, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4231.36, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4637.3, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2567.12, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 2743.71, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3059.03, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3333.8, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3590.64, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 3720.37, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 10, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3978.3, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4237.91, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 8, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4755.07, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 8, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5279.84, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2679.83, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 6, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 2855.25, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3203.74, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3472.47, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 3663.35, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3759.2, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 10, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 4055.32, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3567.35, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 15, \"tile_m\": 3, \"tile_n\": 3, \"w\": 6, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4470.84, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4496.0, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4730.2, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 23, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4767.13, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 25, \"tile_m\": 3, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4863.02, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4945.21, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5426.73, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3006.0, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2600.81, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 32, \"grouping\": 7, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 3505.73, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 7, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3778.42, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 8, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4120.1, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 9, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4287.05, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 4395.12, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"w\": 6, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4766.53, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5408.25, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 10, \"k\": 45, \"tile_m\": 1, \"tile_n\": 10, \"w\": 16, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5994.7, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 14, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 3374.49, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3606.73, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 6, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 4033.07, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 7, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4386.1, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 8, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4647.5, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 9, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4788.28, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 10, \"tile_m\": 5, \"tile_n\": 3, \"w\": 4, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4994.17, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 13, \"tile_m\": 5, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5519.51, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 15, \"tile_m\": 5, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5637.18, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 16, \"tile_m\": 5, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5686.43, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 22, \"tile_m\": 5, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6087.01, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 23, \"tile_m\": 5, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6089.61, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 25, \"tile_m\": 5, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6233.51, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 26, \"tile_m\": 5, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6388.62, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 45, \"tile_m\": 5, \"tile_n\": 3, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6989.93, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 3850.68, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4042.71, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 9, \"tile_m\": 5, \"tile_n\": 3, \"w\": 4, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5432.33, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 13, \"tile_m\": 5, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6227.9, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 15, \"tile_m\": 5, \"tile_n\": 3, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6326.3, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 16, \"tile_m\": 5, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6404.19, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 22, \"tile_m\": 5, \"tile_n\": 3, \"w\": 8, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6866.15, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 25, \"tile_m\": 5, \"tile_n\": 3, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7101.73, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 26, \"tile_m\": 5, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7124.68, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 15, \"k\": 45, \"tile_m\": 5, \"tile_n\": 3, \"w\": 18, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7989.45, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4221.61, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 5, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 4292.95, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 9, \"tile_m\": 7, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5960.48, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 13, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6586.47, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 15, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6616.91, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6720.81, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 22, \"tile_m\": 5, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7182.16, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 25, \"tile_m\": 5, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7327.95, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 26, \"tile_m\": 5, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7477.11, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 45, \"tile_m\": 5, \"tile_n\": 4, \"w\": 12, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8036.85, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4593.97, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4808.22, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 9, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7063.94, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 13, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7455.72, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 15, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7622.27, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 16, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7963.06, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 22, \"tile_m\": 7, \"tile_n\": 3, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8578.78, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 23, \"tile_m\": 7, \"tile_n\": 3, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8573.36, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 25, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8641.44, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 26, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8823.63, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 45, \"tile_m\": 7, \"tile_n\": 3, \"w\": 18, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9432.67, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 4766.43, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 160, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 4855.41, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 9, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6869.86, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 13, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7636.43, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 22, \"tile_m\": 7, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8781.21, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 23, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8766.97, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 26, \"tile_m\": 7, \"tile_n\": 3, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8983.17, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 4991.96, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 160, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 5204.4, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 9, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6836.25, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 13, \"tile_m\": 5, \"tile_n\": 5, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7860.48, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 15, \"tile_m\": 5, \"tile_n\": 5, \"w\": 6, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8237.37, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 16, \"tile_m\": 5, \"tile_n\": 5, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8387.46, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 22, \"tile_m\": 5, \"tile_n\": 5, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9169.53, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 25, \"tile_m\": 5, \"tile_n\": 5, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9325.92, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 26, \"tile_m\": 5, \"tile_n\": 5, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9481.37, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 45, \"tile_m\": 5, \"tile_n\": 5, \"w\": 16, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10200.7, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 5184.18, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 160, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 5349.77, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 6, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 160, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 5829.41, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 7, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 6024.79, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 8, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 6062.41, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 9, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7265.3, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 10, \"tile_m\": 7, \"tile_n\": 4, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7482.97, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 13, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7919.59, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 15, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8348.29, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 16, \"tile_m\": 7, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8516.96, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 22, \"tile_m\": 7, \"tile_n\": 4, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9160.5, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 23, \"tile_m\": 7, \"tile_n\": 4, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9248.48, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 25, \"tile_m\": 5, \"tile_n\": 6, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9179.34, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 26, \"tile_m\": 5, \"tile_n\": 6, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9322.11, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 45, \"tile_m\": 5, \"tile_n\": 6, \"w\": 16, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 10093.8, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 4, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 224, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 5978.88, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 5, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 256, \"grouping\": 31, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6251.95, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 6, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 160, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 6383.81, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 7, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 320, \"grouping\": 31, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6152.11, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 8, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 96, \"grouping\": 21, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 6322.03, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 9, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 36, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8146.4, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 10, \"tile_m\": 7, \"tile_n\": 3, \"w\": 4, \"v\": 36, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8345.84, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 13, \"tile_m\": 7, \"tile_n\": 6, \"w\": 6, \"v\": 42, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10111.7, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 15, \"tile_m\": 7, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10573.5, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 16, \"tile_m\": 7, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10813.8, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 22, \"tile_m\": 7, \"tile_n\": 6, \"w\": 8, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11829.1, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 25, \"tile_m\": 7, \"tile_n\": 6, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11874.7, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 26, \"tile_m\": 7, \"tile_n\": 6, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 12030.6, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 45, \"tile_m\": 7, \"tile_n\": 6, \"w\": 12, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 12649.1, \"source\": \"autotuned\"},\n{\"m\": 27, \"n\": 27, \"k\": 27, \"tile_m\": 5, \"tile_n\": 6, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9928.97, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1860.48, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 2827.38, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3118.27, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3476.76, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 28, \"tile_m\": 5, \"tile_n\": 6, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10944.8, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 14, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6652.62, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6752.37, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7899.18, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 32, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8052.08, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 16, \"k\": 14, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7190.74, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7421.37, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 14, \"tile_m\": 5, \"tile_n\": 6, \"w\": 6, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7918.65, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 16, \"tile_m\": 5, \"tile_n\": 6, \"w\": 6, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9941.07, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 5, \"tile_n\": 6, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11386.1, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 32, \"tile_m\": 5, \"tile_n\": 6, \"w\": 12, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11597.0, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 14, \"tile_m\": 9, \"tile_n\": 4, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9688.91, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 29, \"tile_m\": 5, \"tile_n\": 7, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 11397.3, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 11, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11453.0, \"source\": \"autotuned\"},\n{\"m\": 30, \"n\": 30, \"k\": 30, \"tile_m\": 5, \"tile_n\": 6, \"w\": 12, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 12096.9, \"source\": \"autotuned\"},\n{\"m\": 30, \"n\": 30, \"k\": 76, \"tile_m\": 5, \"tile_n\": 6, \"w\": 20, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 13112.6, \"source\": \"autotuned\"},\n{\"m\": 30, \"n\": 76, \"k\": 30, \"tile_m\": 5, \"tile_n\": 8, \"w\": 10, \"v\": 72, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 13174.0, \"source\": \"autotuned\"},\n{\"m\": 30, \"n\": 76, \"k\": 76, \"tile_m\": 5, \"tile_n\": 8, \"w\": 16, \"v\": 74, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 14289.3, \"source\": \"autotuned\"},\n{\"m\": 31, \"n\": 31, \"k\": 31, \"tile_m\": 9, \"tile_n\": 4, \"w\": 8, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8885.01, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 6, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 1900.11, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2072.2, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2313.11, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2495.53, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2689.09, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"w\": 4, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 2723.61, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"w\": 4, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3009.56, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3217.8, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"w\": 8, \"v\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3249.93, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3329.75, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"w\": 10, \"v\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3352.51, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3482.95, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3593.05, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2115.08, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2421.09, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2712.12, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2741.07, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2962.36, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3204.56, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 10, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3468.58, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3729.88, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3774.21, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"w\": 8, \"v\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3830.06, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"w\": 10, \"v\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3983.38, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4262.08, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"w\": 20, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4405.05, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2448.57, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2821.86, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2900.48, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3210.34, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3457.62, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3880.62, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 10, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4188.88, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4487.38, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4409.03, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4886.76, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2662.02, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2809.82, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3212.05, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3422.52, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 8, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3679.56, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4074.0, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 10, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4467.11, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4767.45, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"w\": 8, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4895.27, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5132.88, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5491.63, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 18, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5734.49, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 2704.48, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3133.97, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3465.42, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3874.41, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 4193.74, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4801.5, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 10, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5131.86, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5427.78, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5646.94, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6200.17, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2825.1, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3364.55, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 3731.05, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 3451.16, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 4004.03, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 8, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4389.01, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 10, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 8, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4641.0, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 12, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4952.84, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5475.39, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 5, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5866.69, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6122.63, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6252.37, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 5, \"w\": 12, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6486.08, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6836.38, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 5, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 3129.71, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 5, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 3089.77, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4005.42, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 7, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 4154.06, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4384.93, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 10, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4728.6, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 10, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4970.5, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 13, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6063.09, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 22, \"tile_m\": 2, \"tile_n\": 5, \"w\": 8, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6444.97, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 32, \"tile_m\": 2, \"tile_n\": 5, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7168.09, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 32, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 5452.67, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 11, \"k\": 12, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 32, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5679.19, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 11, \"k\": 20, \"tile_m\": 2, \"tile_n\": 6, \"w\": 8, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 6691.99, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 11, \"k\": 32, \"tile_m\": 2, \"tile_n\": 6, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7543.53, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 12, \"k\": 11, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 12, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6033.3, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 12, \"k\": 20, \"tile_m\": 2, \"tile_n\": 6, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7304.98, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 12, \"k\": 26, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7764.02, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 12, \"k\": 32, \"tile_m\": 2, \"tile_n\": 6, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8220.13, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3649.12, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 192, \"grouping\": 24, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 4030.97, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4322.68, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4621.83, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 32, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 5044.0, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 12, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5623.38, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 10, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 12, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5766.24, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 32, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 6114.95, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 10, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6285.16, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 7, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7559.75, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 28, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8030.08, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 7, \"w\": 12, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8255.52, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6456.39, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 192, \"grouping\": 32, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 4934.1, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 12, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7422.61, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7324.62, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 20, \"k\": 11, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7764.28, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 20, \"k\": 20, \"tile_m\": 6, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9163.17, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 160, \"grouping\": 32, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 5391.16, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 5, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5888.13, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 6, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 224, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6117.74, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6161.92, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 288, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6505.5, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 9, \"tile_m\": 9, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7341.29, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 10, \"tile_m\": 9, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7580.41, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 12, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8317.56, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 6, \"w\": 10, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 9267.9, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 11, \"w\": 12, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10616.4, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 5, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6394.89, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 13, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 16, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8933.02, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 6, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10199.8, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 26, \"tile_m\": 2, \"tile_n\": 6, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10483.3, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 6, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10766.6, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 5, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4877.59, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 7, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6375.28, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 11, \"tile_m\": 9, \"tile_n\": 4, \"w\": 4, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 7739.82, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 13, \"tile_m\": 6, \"tile_n\": 5, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8416.87, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 26, \"tile_m\": 6, \"tile_n\": 5, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10411.9, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 32, \"tile_m\": 6, \"tile_n\": 5, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8724.05, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 45, \"tile_m\": 6, \"tile_n\": 5, \"w\": 20, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11020.5, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6282.79, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 7, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6590.29, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 9, \"tile_m\": 9, \"tile_n\": 4, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 7614.71, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 12, \"tile_m\": 9, \"tile_n\": 4, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8175.0, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 24, \"tile_m\": 4, \"tile_n\": 7, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9952.29, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 28, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10167.2, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 32, \"tile_m\": 4, \"tile_n\": 7, \"w\": 12, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10457.7, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 45, \"tile_m\": 4, \"tile_n\": 7, \"w\": 16, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10720.9, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 4, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 160, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5978.52, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 13, \"tile_m\": 6, \"tile_n\": 6, \"w\": 6, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9058.03, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 25, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8707.38, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 26, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10788.6, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 28, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 10947.7, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 32, \"tile_m\": 4, \"tile_n\": 7, \"w\": 12, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11232.8, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 45, \"tile_m\": 4, \"tile_n\": 7, \"w\": 12, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11365.6, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 29, \"tile_m\": 6, \"tile_n\": 6, \"w\": 12, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11124.1, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 4, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 160, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6791.07, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 5, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 7473.15, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 6, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 224, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 7756.74, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 7687.89, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 8, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 64, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 8227.47, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 9, \"tile_m\": 9, \"tile_n\": 4, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9139.67, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 10, \"tile_m\": 9, \"tile_n\": 4, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9449.45, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 11, \"tile_m\": 9, \"tile_n\": 4, \"w\": 4, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9627.62, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 13, \"tile_m\": 9, \"tile_n\": 4, \"w\": 6, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9925.09, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 16, \"tile_m\": 9, \"tile_n\": 4, \"w\": 6, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 10780.0, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 22, \"tile_m\": 9, \"tile_n\": 4, \"w\": 8, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11560.4, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 24, \"tile_m\": 9, \"tile_n\": 4, \"w\": 8, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11868.5, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 25, \"tile_m\": 4, \"tile_n\": 8, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11819.1, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 26, \"tile_m\": 9, \"tile_n\": 4, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 11893.0, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 29, \"tile_m\": 2, \"tile_n\": 8, \"w\": 12, \"v\": 22, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 12000.5, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 9, \"tile_n\": 4, \"w\": 8, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 12344.3, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 45, \"tile_m\": 9, \"tile_n\": 4, \"w\": 8, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 12612.5, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 5, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 7694.71, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 320, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 7889.79, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 9, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 416, \"grouping\": 32, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 7753.62, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 28, \"tile_m\": 8, \"tile_n\": 6, \"w\": 8, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11337.9, \"source\": \"autotuned\"},\n{\"m\": 33, \"n\": 33, \"k\": 33, \"tile_m\": 6, \"tile_n\": 7, \"w\": 12, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11240.8, \"source\": \"autotuned\"},\n{\"m\": 34, \"n\": 34, \"k\": 34, \"tile_m\": 7, \"tile_n\": 6, \"w\": 6, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11881.6, \"source\": \"autotuned\"},\n{\"m\": 35, \"n\": 35, \"k\": 35, \"tile_m\": 6, \"tile_n\": 7, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 12585.9, \"source\": \"autotuned\"},\n{\"m\": 36, \"n\": 36, \"k\": 36, \"tile_m\": 5, \"tile_n\": 9, \"w\": 16, \"v\": 36, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 12432.2, \"source\": \"autotuned\"},\n{\"m\": 37, \"n\": 37, \"k\": 37, \"tile_m\": 5, \"tile_n\": 5, \"w\": 14, \"v\": 36, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11854.2, \"source\": \"autotuned\"},\n{\"m\": 38, \"n\": 38, \"k\": 38, \"tile_m\": 5, \"tile_n\": 5, \"w\": 10, \"v\": 38, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 12609.5, \"source\": \"autotuned\"},\n{\"m\": 39, \"n\": 39, \"k\": 39, \"tile_m\": 5, \"tile_n\": 5, \"w\": 14, \"v\": 38, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 13197.9, \"source\": \"autotuned\"},\n{\"m\": 40, \"n\": 40, \"k\": 40, \"tile_m\": 5, \"tile_n\": 5, \"w\": 14, \"v\": 40, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 13958.9, \"source\": \"autotuned\"},\n{\"m\": 41, \"n\": 41, \"k\": 41, \"tile_m\": 5, \"tile_n\": 6, \"w\": 18, \"v\": 32, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 12029.1, \"source\": \"autotuned\"},\n{\"m\": 42, \"n\": 42, \"k\": 42, \"tile_m\": 5, \"tile_n\": 6, \"w\": 18, \"v\": 42, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 12690.3, \"source\": \"autotuned\"},\n{\"m\": 43, \"n\": 43, \"k\": 43, \"tile_m\": 6, \"tile_n\": 6, \"w\": 16, \"v\": 40, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 12663.6, \"source\": \"autotuned\"},\n{\"m\": 44, \"n\": 44, \"k\": 44, \"tile_m\": 6, \"tile_n\": 6, \"w\": 16, \"v\": 44, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 13548.4, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2163.22, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 5, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2324.46, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 6, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2675.31, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2707.94, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 2807.21, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3022.53, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 10, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3065.66, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3120.98, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 15, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2670.8, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3107.77, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3391.47, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3486.76, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3551.05, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3518.76, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 4, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2289.45, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2682.89, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 2995.02, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 5, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 2880.24, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3010.14, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3246.21, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 10, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3342.3, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 3625.67, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 15, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3662.99, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3643.63, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 22, \"tile_m\": 2, \"tile_n\": 5, \"w\": 8, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4049.79, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 25, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 3530.7, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 26, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4217.03, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 16, \"v\": 4, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4488.11, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 4, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 2711.94, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 3078.47, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3165.93, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3358.06, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3586.78, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 4052.62, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 10, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4128.15, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 13, \"tile_m\": 2, \"tile_n\": 6, \"w\": 6, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4145.33, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 26, \"tile_m\": 2, \"tile_n\": 6, \"w\": 12, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4910.62, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 6, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"w\": 16, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5268.23, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 2724.19, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3084.88, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 6, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3426.02, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 7, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3668.81, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 8, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3838.28, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 9, \"tile_m\": 6, \"tile_n\": 2, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4293.54, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 10, \"tile_m\": 6, \"tile_n\": 2, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4354.19, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 13, \"tile_m\": 6, \"tile_n\": 2, \"w\": 6, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4436.4, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 26, \"tile_m\": 2, \"tile_n\": 7, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5442.36, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 7, \"w\": 16, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 5856.04, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3086.13, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 5, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3567.83, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 6, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 3893.11, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 7, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4233.06, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 32, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4176.73, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"w\": 4, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4806.25, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 10, \"tile_m\": 6, \"tile_n\": 2, \"w\": 4, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4857.63, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 13, \"tile_m\": 6, \"tile_n\": 2, \"w\": 6, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5090.39, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 26, \"tile_m\": 2, \"tile_n\": 8, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6066.69, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 8, \"k\": 45, \"tile_m\": 2, \"tile_n\": 8, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6577.62, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 5, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 3163.29, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 5, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 3583.08, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 6, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 3967.94, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 7, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4227.93, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 8, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 4309.86, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 9, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5142.65, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 10, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5176.23, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 13, \"tile_m\": 6, \"tile_n\": 3, \"w\": 6, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5403.54, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 15, \"tile_m\": 6, \"tile_n\": 3, \"w\": 6, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 5640.69, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 16, \"tile_m\": 6, \"tile_n\": 3, \"w\": 6, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 5722.8, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 22, \"tile_m\": 6, \"tile_n\": 3, \"w\": 8, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 6286.94, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 25, \"tile_m\": 6, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6434.67, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 26, \"tile_m\": 6, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6476.71, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 45, \"tile_m\": 6, \"tile_n\": 3, \"w\": 16, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7047.95, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 64, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 2938.89, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 3809.59, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 6, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4062.95, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 7, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 4277.35, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 8, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 4638.63, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 9, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 4523.18, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 10, \"tile_m\": 6, \"tile_n\": 3, \"w\": 4, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5719.7, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 13, \"tile_m\": 6, \"tile_n\": 3, \"w\": 6, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5902.99, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 26, \"tile_m\": 6, \"tile_n\": 3, \"w\": 10, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 6977.54, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 10, \"k\": 45, \"tile_m\": 3, \"tile_n\": 5, \"w\": 16, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7624.72, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3967.34, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4053.92, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 5, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 4383.39, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 4623.34, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 8, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 26, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 4624.43, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 9, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6218.0, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 10, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 6597.33, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 13, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5691.3, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 15, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7264.34, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 16, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7450.6, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 22, \"tile_m\": 6, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8039.56, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 25, \"tile_m\": 6, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8102.03, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 26, \"tile_m\": 6, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8291.42, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 45, \"tile_m\": 6, \"tile_n\": 4, \"w\": 18, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8966.03, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4471.6, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4658.77, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 9, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7077.13, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 13, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 7800.13, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 15, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8236.51, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 16, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 8517.77, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 22, \"tile_m\": 6, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9148.82, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 25, \"tile_m\": 6, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9252.84, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 26, \"tile_m\": 6, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9367.92, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 15, \"k\": 45, \"tile_m\": 6, \"tile_n\": 4, \"w\": 12, \"v\": 14, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 10072.2, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4868.44, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 5, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4851.09, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 9, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 7809.67, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 13, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 8352.3, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 15, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8843.14, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 16, \"tile_m\": 6, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9107.17, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 22, \"tile_m\": 6, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9813.14, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 25, \"tile_m\": 6, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10064.6, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 26, \"tile_m\": 6, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10201.1, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 16, \"k\": 45, \"tile_m\": 6, \"tile_n\": 4, \"w\": 18, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 10730.6, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 224, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5272.28, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 5, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5646.01, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 9, \"tile_m\": 9, \"tile_n\": 4, \"w\": 4, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8181.87, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 13, \"tile_m\": 6, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 9433.82, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 15, \"tile_m\": 6, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 10043.7, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 16, \"tile_m\": 6, \"tile_n\": 6, \"w\": 6, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10340.4, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 22, \"tile_m\": 6, \"tile_n\": 6, \"w\": 8, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11010.9, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 25, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 11407.3, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 26, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11522.1, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 22, \"k\": 45, \"tile_m\": 6, \"tile_n\": 6, \"w\": 12, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11959.2, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5440.86, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 5, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5849.02, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 9, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 18, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 7960.31, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 13, \"tile_m\": 9, \"tile_n\": 5, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8639.51, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 15, \"tile_m\": 9, \"tile_n\": 5, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9210.77, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 16, \"tile_m\": 9, \"tile_n\": 5, \"w\": 6, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9387.71, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 22, \"tile_m\": 6, \"tile_n\": 7, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 11155.5, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 25, \"tile_m\": 6, \"tile_n\": 7, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 11455.1, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 26, \"tile_m\": 6, \"tile_n\": 7, \"w\": 10, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 11593.9, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 45, \"tile_m\": 6, \"tile_n\": 7, \"w\": 12, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 12002.1, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 192, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 4609.25, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 256, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5899.02, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 6, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 288, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 6102.72, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 320, \"grouping\": 32, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 5977.06, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 8, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 224, \"grouping\": 26, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 6102.28, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 9, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 14, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 6916.15, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 10, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 18, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 8526.22, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 13, \"tile_m\": 9, \"tile_n\": 5, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9031.31, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 15, \"tile_m\": 9, \"tile_n\": 5, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 9567.02, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 16, \"tile_m\": 9, \"tile_n\": 5, \"w\": 6, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9845.35, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 22, \"tile_m\": 6, \"tile_n\": 7, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 11329.4, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 25, \"tile_m\": 6, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11577.1, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 26, \"tile_m\": 6, \"tile_n\": 7, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11718.7, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 45, \"tile_m\": 6, \"tile_n\": 7, \"w\": 12, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 12313.9, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 192, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 6185.14, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 5, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 256, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 6488.25, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 6, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 288, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 7023.96, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 7, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 320, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 5733.7, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 8, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 448, \"grouping\": 32, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 7150.34, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 9, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 30, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 8728.39, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 10, \"tile_m\": 6, \"tile_n\": 4, \"w\": 4, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 9231.2, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 13, \"tile_m\": 6, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 10363.3, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 15, \"tile_m\": 6, \"tile_n\": 6, \"w\": 6, \"v\": 42, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11327.6, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 16, \"tile_m\": 6, \"tile_n\": 6, \"w\": 6, \"v\": 44, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 11641.6, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 22, \"tile_m\": 6, \"tile_n\": 6, \"w\": 8, \"v\": 44, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 12543.8, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 25, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 42, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 12937.3, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 26, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 44, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 12998.7, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 45, \"tile_m\": 6, \"tile_n\": 6, \"w\": 16, \"v\": 36, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 13819.5, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 55, \"k\": 32, \"tile_m\": 7, \"tile_n\": 7, \"w\": 12, \"v\": 54, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 14584.3, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 64, \"k\": 64, \"tile_m\": 4, \"tile_n\": 8, \"w\": 12, \"v\": 46, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 15694.3, \"source\": \"autotuned\"},\n{\"m\": 72, \"n\": 72, \"k\": 72, \"tile_m\": 9, \"tile_n\": 5, \"w\": 8, \"v\": 72, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 15446.4, \"source\": \"autotuned\"},\n{\"m\": 76, \"n\": 30, \"k\": 30, \"tile_m\": 5, \"tile_n\": 8, \"w\": 10, \"v\": 26, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 11490.4, \"source\": \"autotuned\"},\n{\"m\": 76, \"n\": 30, \"k\": 76, \"tile_m\": 5, \"tile_n\": 8, \"w\": 20, \"v\": 28, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 15036.8, \"source\": \"autotuned\"},\n{\"m\": 76, \"n\": 76, \"k\": 30, \"tile_m\": 7, \"tile_n\": 7, \"w\": 8, \"v\": 72, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 15328.0, \"source\": \"autotuned\"},\n{\"m\": 76, \"n\": 76, \"k\": 76, \"tile_m\": 5, \"tile_n\": 5, \"w\": 10, \"v\": 36, \"threads\": 256, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 15792.4, \"source\": \"autotuned\"}\n]\n" }, { "path": "src/acc/libsmm_acc/parameters/parameters_K20X.json", "content": "[\n{\"m\": 4, \"n\": 4, \"k\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 16.5663, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 5, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 20.1639, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 6, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 23.5514, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 7, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 27.508, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 31.7227, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 34.2669, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 37.6563, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 13, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 45.9102, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 15, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 51.3947, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 54.8645, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 54.3192, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 62.9255, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 23, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 60.6683, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 62.8983, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 25, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 50.8246, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 53.309, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 54.7759, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 58.5147, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 55.094, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 14.9148, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 18.1077, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 21.2783, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 7, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 25.2832, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 29.5849, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 30.8254, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 13, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 42.687, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 52.9062, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 17, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 51.922, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 48.5357, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 23, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 50.2012, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 50.9804, \"source\": \"autotuned\", \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 25, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 45.0794, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 46.9644, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 44.74, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 47.0079, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 45, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 39.578, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 17.7217, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 21.2885, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 26.0691, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 35.3897, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 36.1752, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 13, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 50.7414, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 62.3605, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 17, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 52.168, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 61.4407, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 63.1415, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 59.2859, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 63.6068, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 66.9879, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 20.3949, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 25.5066, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 7, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 34.4269, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 41.6453, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 13, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 57.6433, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 70.7435, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 72.8932, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 81.1008, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 87.9914, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 89.4636, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 24.016, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 28.6828, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 34.4605, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 45.9955, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 48.4776, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 13, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 54.9661, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 64.3579, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 67.3422, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 80.9386, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 83.121, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 72.6651, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 74.4863, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 83.7638, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 24.1362, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 29.7245, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 34.6329, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 39.4845, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 44.6668, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 49.1063, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 58.1283, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 66.7055, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 69.4121, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 81.2228, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 83.4097, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 79.1819, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 80.8055, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 82.8333, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 91.3053, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 92.4279, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 97.8429, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 27.7177, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 52.2698, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 70.3125, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 34.7964, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 42.8558, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 49.8578, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 56.807, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 56.9443, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 62.3945, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 82.5655, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 95.0394, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 98.1766, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 106.482, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 99.1141, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 102.229, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 104.392, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 107.25, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 112.358, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 117.253, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 20, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 117.218, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 39.8849, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 76.3306, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 100.748, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 43.4494, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 53.0611, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 56.7665, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 71.163, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 75.903, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 101.297, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 112.777, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.289, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 117.51, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 118.855, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 116.045, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 109.271, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 119.269, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 44.3641, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 54.048, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 56.5091, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 71.3946, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 76.8119, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 99.368, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 109.498, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 98.7893, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 113.492, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 99.7952, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 107.141, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 106.081, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 17, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 113.471, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 57.4498, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 62.5018, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 72.8839, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 91.5999, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 99.159, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.024, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 120.717, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 121.506, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 120.919, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 116.314, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 121.22, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 117.406, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 127.401, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 59.7783, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 64.7027, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 75.5435, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 94.7326, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 102.115, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 109.914, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 123.335, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 110.912, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 118.425, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 119.87, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 119.172, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 119.54, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 127.587, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 58.0271, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 67.3989, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 78.5843, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 90.4024, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 107.128, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 115.396, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 117.543, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 115.374, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 123.01, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 121.888, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 126.228, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 124.519, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 24, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 131.226, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"w\": 2, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 59.7499, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 65.252, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 77.9696, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 89.8186, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 112.687, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 129.771, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 127.735, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 135.101, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 139.761, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 140.077, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 63.4377, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 61.4438, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 71.391, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 81.5028, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 87.1416, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 95.4329, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 117.999, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.965, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 117.606, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 124.959, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 125.45, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 128.616, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 128.125, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 130.88, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 137.164, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 141.257, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 140.164, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 68.2828, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 65.6686, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 83.3092, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 100.922, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 123.15, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 133.073, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 134.749, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 140.056, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 141.483, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 142.643, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 78.1248, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 74.5054, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 85.0733, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 94.5942, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"w\": 4, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 101.579, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.088, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 127.948, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 129.951, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 129.899, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 133.965, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 135.677, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 137.129, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 138.999, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 140.06, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 142.731, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 146.525, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 148.422, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"w\": 2, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 89.1846, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 90.7481, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 112.025, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 123.37, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 132.048, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 142.681, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 144.113, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 147.358, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 150.112, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 26, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 150.749, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 14.8425, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 17.8923, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 20.6833, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 7, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 25.0033, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 28.7395, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 30.3363, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 13, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 35.8017, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 35.9461, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 34.9185, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 37.0424, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 37.32, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 50.5776, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 25, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 42.9798, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 46.6834, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 44.9266, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 46.7652, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 39.2713, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 23.8033, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 5, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 29.5496, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 6, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 33.673, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 7, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 39.8149, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 37.8978, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 9, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 48.7651, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 13, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 55.6173, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 58.79, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 60.0103, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 64.9733, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 66.7856, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 68.8446, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 69.5795, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 73.6718, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 78.9513, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 85.3813, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 85.4611, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 20.9988, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 25.4954, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 31.0513, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 39.6543, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 37.5652, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 49.3659, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 58.1624, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 52.8571, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 69.8459, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 72.2008, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 74.465, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 78.7224, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 81.0562, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 23.7332, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 29.2419, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 38.8739, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 47.5812, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 63.0682, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 79.9775, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 81.302, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 89.0756, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 93.7976, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 98.0821, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 27.2512, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 32.9231, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 39.1691, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 47.0366, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 48.3135, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 59.2125, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 67.8873, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 63.6387, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 85.8051, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 87.9872, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 84.7498, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 83.6633, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 94.1701, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 30.6314, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 37.6561, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 43.5479, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 49.7157, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 49.4117, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 61.0651, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 71.6433, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 71.2271, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 71.4887, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 85.9047, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 88.2854, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 90.6552, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 98.39, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 99.7839, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 110.791, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 114.978, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 117.396, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 43.3144, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 52.3204, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 60.4434, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 69.0831, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 63.9439, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 74.3939, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 93.8869, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 94.5206, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 99.4373, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 110.942, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 110.721, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 113.32, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 114.526, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 115.088, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 124.415, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 122.982, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 127.844, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 53.1228, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 63.7683, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 68.1547, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 79.5016, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 83.055, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 101.84, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 116.875, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 121.579, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 135.569, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 129.272, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 131.765, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 128.942, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 139.49, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 54.7705, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 66.6945, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 67.0057, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 77.7652, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 87.0744, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 106.256, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 121.156, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 119.245, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 136.959, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 123.364, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 128.46, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 132.131, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 17, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 135.01, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 64.6247, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 71.6059, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 73.2559, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 92.3688, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 98.0181, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 119.94, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 136.353, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 137.955, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 135.568, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 135.879, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 138.483, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 145.469, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 22, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 143.787, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 66.9592, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 74.1593, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 76.2473, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 94.6116, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 102.375, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 123.606, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 140, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 125.344, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 144.101, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 141.081, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 143.882, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 136.154, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 22, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 145.364, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 70.2727, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 79.6991, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 80.5021, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"w\": 4, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 100.583, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 107.639, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 130.403, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 138.648, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 128.385, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 147.78, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 147.238, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 149.11, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 144.829, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 24, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 151.834, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 71.6625, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 80.6391, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 92.0275, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 111.946, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 138.956, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 151.406, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 152.399, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 159.392, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 164.81, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 167.254, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 73.0565, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 72.8437, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 83.0577, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 92.7505, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 97.7841, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 106.059, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 127.925, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 124.739, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 121.911, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 138.328, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 133.003, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 142.549, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 25, \"tile_m\": 6, \"tile_n\": 1, \"w\": 12, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 150.57, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"w\": 12, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 152.336, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 161.207, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 165.179, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 163.833, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 78.7832, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 78.538, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 94.7919, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.142, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 136.621, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 155.335, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"w\": 10, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 157.636, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 164.633, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"w\": 12, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 167.029, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 170.753, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 90.3387, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 90.1318, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 95.4478, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 110.148, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 120.304, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 128.642, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 146.704, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 148.849, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 17, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 145.146, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 152.464, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 153.738, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 156.997, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"w\": 12, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 165.526, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 167.342, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 170.549, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 175.093, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 178.419, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 102.104, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 103.389, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 131.225, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 142.875, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 154.231, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 169.95, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"w\": 8, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 170.684, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 177.397, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 181.043, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 42, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 183.404, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 17.3648, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 20.891, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 25.3088, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 34.4029, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 30.9154, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 40.7212, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 48.547, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 42.7597, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 59.0194, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 62.4159, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 59.3286, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 63.2716, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 71.0281, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 21.0382, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 25.6146, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 30.7386, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 39.7844, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 9, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 37.5717, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 49.4221, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 58.085, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 52.5703, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 69.4004, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 71.6165, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 73.8541, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 78.7409, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 87.6399, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 29.0092, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 5, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 34.7398, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 41.3431, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 51.4584, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 54.7869, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 65.899, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 74.696, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 73.6249, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 83.3214, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 85.2118, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 87.2119, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 91.5958, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 93.8914, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 36, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 90.6049, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 32.8542, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 39.5654, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 46.7754, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 56.4219, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 57.8262, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 70.6689, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 81.6668, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 75.7991, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 102.189, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 104.903, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 99.5961, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 100.125, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 110.732, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 35.8024, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 43.8484, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 51.8175, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 58.965, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 63.9309, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 78.5539, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 84.561, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 84.3988, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 100.301, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 103.968, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 106.858, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 110.172, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 117.743, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 50.793, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 61.4172, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 72.3602, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 76.7893, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 82.6919, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 103.505, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 109.832, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 107.414, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 126.399, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 127.16, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 129.224, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 124.698, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 13, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 134.667, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 63.5995, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 78.998, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 79.6159, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 94.2819, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 99.4404, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 121.474, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 131.447, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 130.503, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 140.994, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 143.929, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 151.414, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 150.43, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 162.722, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 60.5441, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 68.6498, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 75.0572, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 88.8231, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 96.638, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 115.635, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 122.699, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 122.369, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 138.221, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 137.919, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 141.952, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 145.765, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 17, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 147.119, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 68.9181, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 77.9158, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 85.5436, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 107.115, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 107.717, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 130.85, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 143.533, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.658, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 142.021, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 144.504, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 150.931, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 151.978, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 160.565, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 70.9369, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 80.8594, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 88.9708, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 111.224, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 111.977, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 138.705, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 145.791, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 130.847, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 145.676, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 147.626, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 153.564, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 149.513, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 163.779, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 77.1222, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 85.3145, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 94.4076, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"w\": 4, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 110.004, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.271, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 142.641, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 155.64, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 140.277, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 154.822, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 156.783, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 163.247, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 158.81, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 171.227, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 72.8888, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 86.2243, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 100.321, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.794, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 124.78, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 150.084, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 148.541, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 146.817, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 164.867, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 167.944, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 167.824, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 160.058, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 172.981, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 88.5988, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 107.109, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 112.623, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 136.523, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.067, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 157.238, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 170.847, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 172.856, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 177.946, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 179.578, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 184.552, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 182.386, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 192.489, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 36, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 119.79, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 20.321, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 25.1685, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 33.8708, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 41.5372, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 53.8869, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 73.2421, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 75.2431, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 84.3456, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 90.5669, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 89.7354, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 23.648, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 28.8325, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 38.3808, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 47.369, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 62.9693, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 79.6162, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 81.9313, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 88.1174, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 93.4222, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 98.0637, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 4, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 40.7019, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 49.7395, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 64.2082, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 9, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 74.9724, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 92.3343, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 116.952, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 111.036, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 119.39, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 126.959, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 128.604, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 49, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 120.76, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 42.249, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 50.9731, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 68.4855, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 84.8179, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 101.494, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 127.326, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 129.924, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 142.345, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 145.13, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 145.375, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 59.6126, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 71.567, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 94.7367, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 104.845, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 131.471, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 152.657, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 154.864, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 160.679, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 167.82, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 170.871, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 90.6823, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 96.0502, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 116.201, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 137.027, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 165.715, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 192.888, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 195.055, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 204.588, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 209.44, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 212.537, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 98.6714, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 97.2595, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 120.571, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 142.154, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 171.139, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 197.945, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 200.252, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 208.875, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 213.257, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 219.31, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 101.062, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 99.5538, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 121.608, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.435, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 169.528, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 201.753, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 204.712, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 210.808, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 216.209, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 223.329, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 115.233, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 114.267, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 140.19, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 162.426, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 185.749, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 215.554, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 217.184, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 220.896, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 226.677, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 234.276, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 128.485, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 130.706, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 151.354, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 179.007, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 193.014, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 223.056, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 36, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 225.941, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 232.072, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 38, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 236.673, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 241.311, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 49, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.937, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 23.9735, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 28.4815, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 34.2353, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 45.8575, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 9, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 48.5061, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 13, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 55.0971, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 64.3498, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 66.887, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 80.5774, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 83.3154, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 78.1446, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 72.9839, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 84.7409, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 27.0068, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 33.1999, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 38.8056, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 49.3499, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 54.6039, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 64.6405, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 75.6469, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 78.0896, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 86.0905, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 88.5829, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 80.7721, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 83.5916, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 94.7041, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 32.5636, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 39.9008, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 46.2498, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 59.3358, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 65.4188, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 77.8557, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 85.9489, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 87.1602, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 102.308, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 105.056, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 99.2986, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 100.382, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 112.447, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 52.7483, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 62.8469, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 72.9942, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 90.7763, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 96.8478, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 110.805, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 122.011, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 123.976, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 142.579, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 138.92, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 139.574, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 139.438, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 141.729, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 64, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 155.798, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 47.6694, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 57.6518, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 67.1608, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 84.8613, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 92.0394, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 100.035, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 113.671, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 116.819, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 122.26, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 123.944, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 125.923, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 128.998, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 131.311, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 63.3347, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 75.8181, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 86.1038, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 98.14, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 105.704, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 123.059, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 135.239, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 137.477, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 162.424, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 145.317, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 151.977, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 152.263, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 13, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 160.083, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 77.4084, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 91.6492, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 102.56, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 121.25, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 120.932, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 150.649, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 165.868, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 166.714, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 174.831, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 177.658, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 183.951, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 180.88, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 193.463, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 77.1216, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 92.0325, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 91.8413, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 111.233, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 121.218, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 139.461, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.572, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 143.132, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 150.659, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 157.854, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 164.338, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 155.587, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 172.147, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 98.4831, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 102.251, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 113.706, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 142.267, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 141.743, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 172.127, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 186.548, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 175.381, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 183.582, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 185.959, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 195.033, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 187.132, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 211.83, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 102.42, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 105.176, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.044, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 147.212, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 147.697, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 178.045, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 188.608, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 178.959, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 187.535, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 189.238, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 196.5, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 191.916, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 214.467, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 99.7498, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 111.391, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 123.551, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"w\": 4, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 143.632, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 154.155, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 185.726, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 198.469, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 187.951, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 199.801, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 199.689, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 207.228, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 204.676, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 221.005, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 98.6441, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 103.296, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 117.769, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.311, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 157.749, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 183.678, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 184.93, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 174.79, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 190.782, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 192.48, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 201.264, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 200.465, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 213.624, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 120.164, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 126.86, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 143.186, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 175.277, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 183.653, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 193.414, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 216.01, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 213.609, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 222.573, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 224.463, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 231.134, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 230.134, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 238.795, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 64, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"w\": 4, \"v\": 48, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 205.107, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 25.2097, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 29.9919, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 35.1352, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 40.3827, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 40.9728, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 48.8693, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 57.4295, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 60.1671, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 59.5034, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 80.7153, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 81.9869, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 78.1791, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 82.9701, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 84.3279, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 92.4296, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 97.0899, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 97.9513, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 30.4526, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 37.3908, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 43.6465, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 49.939, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 49.3598, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 60.7052, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 71.4975, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 70.7421, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 73.9933, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 86.1888, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 88.3985, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 91.3193, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 98.0414, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 99.6254, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 110.374, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 115.467, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 117.769, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 35.7692, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 43.884, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 51.8037, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 58.9838, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 63.1913, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 78.6654, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 87.0012, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 84.4738, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 101.406, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 104.769, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 108.241, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 111.759, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.358, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 42.4018, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 51.6611, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 69.256, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 84.5734, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 99.4122, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 127.018, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 128.925, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 142.303, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 143.679, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 145.789, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 48.1233, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 57.2607, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 67.6162, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 76.9026, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 82.1029, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 99.4363, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 106.792, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 103.155, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 122.251, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 125.713, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 127.47, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 127.087, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 132.924, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 62.4312, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 74.0588, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 83.6127, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 92.4293, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 97.3911, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 107.815, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 123.717, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 123.42, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 126.933, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 140.116, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 144.441, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.669, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 152.349, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 155.592, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 155.64, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 159.535, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 160, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 160.12, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 64, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 160.483, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 68.546, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 81.5548, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 86.6047, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 7, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 104.773, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 110.269, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 118.614, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"w\": 6, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 137.421, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 148.198, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 144.57, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 157.619, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 159.911, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 164.48, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 167.537, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 171.427, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 186.17, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 191.308, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 18, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 196.238, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 76.4401, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 90.0694, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 101.254, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 114.152, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 125.152, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 138.713, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 161.565, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 162.59, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 167.882, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 166.582, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 170.479, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 173.529, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 179.16, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 64, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 207.542, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 77.9597, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 93.47, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 98.6733, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 116.283, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 130.008, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 146.013, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 163.56, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 162.657, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 165.859, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 162.634, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 166.06, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 167.993, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 180.16, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 90.7465, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 106.972, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 111.035, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 132.298, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 151.642, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 172.574, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 172.49, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 170.487, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 183.705, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 191.689, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 194.866, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 194.953, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 207.422, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 64, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.402, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 94.256, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 111.899, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.731, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 143.712, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 157.699, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 177.746, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 177.57, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 176.836, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 194.385, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 198.019, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 203.27, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 199.492, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 209.275, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 100.426, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 117.722, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 122.677, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 141.521, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 165.569, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 189.324, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 191.231, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 187.441, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 209.101, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 207.575, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 215.864, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 210.582, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 225.901, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 107.355, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 116.291, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 132.632, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 153.698, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 192.195, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 219.162, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 219.784, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 229.143, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 232.091, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"w\": 14, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 239.491, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 112.616, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 114.528, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 129.406, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 137.992, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.898, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 160.328, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 200.731, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 192.481, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 191.617, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 201.724, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 205.283, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 215.418, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 224.702, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 225.99, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"w\": 14, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 240.33, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"w\": 16, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 246.812, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"w\": 16, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 249.034, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 121.338, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 123.294, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 149.096, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 170.708, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 209.922, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 234.576, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 240.981, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 250.549, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 255.13, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 263.838, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 137.267, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 141.586, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 150.539, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 168.582, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 183.327, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 192.731, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"w\": 6, \"v\": 30, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 209.298, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 215.364, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 212.232, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 230.249, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 232.646, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.302, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 253.788, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 30, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 254.099, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 261.58, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 266.524, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 277.488, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"w\": 2, \"v\": 42, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 133.76, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 143.893, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 171.55, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 194.717, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 225.041, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 260.831, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 38, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 265.9, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 16, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 275.862, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 275.89, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 45, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 284.511, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 64, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 213.899, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 64, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 48, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 262.958, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 64, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 285.617, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 64, \"k\": 64, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 64, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 319.273, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 28.1008, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 54.1832, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 70.4501, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 74.7338, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 116.741, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 141.061, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 81.7434, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"w\": 4, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 137.343, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"w\": 6, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 168.752, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.474, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 154.228, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 35.8537, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 43.1223, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 50.5155, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 58.1156, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 56.8225, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 62.7402, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 81.1843, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 82.3205, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 85.3823, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 106.3, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 104.38, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 103.008, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 102.905, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 107.426, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 115.153, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 116.235, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 20, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 116.154, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 43.1026, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 52.3569, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 60.9248, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 68.9053, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 64.2414, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 74.1677, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 93.5165, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 94.8452, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 97.5907, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 110.275, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 112.051, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.338, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 115.183, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 116.18, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 124.902, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 124.762, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 128.223, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 50.8013, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 61.8717, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 72.4236, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 77.0262, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 82.5687, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 102.487, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 112.36, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 105.637, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 126.591, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 127.181, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 131.17, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 129.955, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 138.459, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 59.9957, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 72.1074, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 95.9252, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 103.151, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 129.722, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 153.809, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 155.84, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"w\": 14, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 160.527, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 168.672, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 18, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 170.503, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 64.3202, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 71.3921, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 81.3107, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 99.8992, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 106.433, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 117.265, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 138.215, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 139.52, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 163.585, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 147.91, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 151.064, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 151.357, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 8, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 157.473, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 68.6834, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 82.6413, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 87.8396, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 7, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 105.779, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 109.971, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 118.002, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"w\": 6, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 137.392, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 147.281, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 143.348, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 158.407, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 160.165, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 163.24, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 172.498, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 175.531, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 187.173, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 190.526, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 195.377, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 100.777, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 116.755, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 128.884, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 143.945, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 141.808, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 155.464, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 174.905, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 188.6, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 196.824, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 200.407, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 192.756, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 194.026, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 204.499, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 205.053, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 218.849, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 223.821, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 232.303, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 100.974, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.075, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 131.042, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.468, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 153.966, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 175.389, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 210.814, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 185.642, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 212.052, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 217.955, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 214.166, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 210.017, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 232.99, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 99.2194, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.252, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 135.183, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 144.56, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 156.989, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 195.592, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 218.026, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 187.859, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 222.018, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 216.451, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 214.46, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 211.202, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 237.799, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 117.05, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 132.674, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.212, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 172.205, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 181.465, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 207.061, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 206.302, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 204.952, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 225.453, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 227.833, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.227, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 241.066, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 252.527, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.375, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 136.973, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.462, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 174.284, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 185.07, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 214.408, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 215.76, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 217.951, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 227.875, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 233.26, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 243.006, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 235.319, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 256.302, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 126.462, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 145.967, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 158.896, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 182.54, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 195.482, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 203.566, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 223.93, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 228.962, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 243.549, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 244.933, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 256.27, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 253.677, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 272.912, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 24, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 323.835, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 139.434, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 146.157, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 169.341, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 199.087, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 222.344, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 283.473, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 286.294, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 298.297, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 300.302, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 322.398, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 142.206, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 153.192, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 165.607, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 175.539, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 191.191, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 206.218, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 236.552, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 225.673, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 241.87, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 251.077, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 255.001, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 262.921, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 290.699, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 296.294, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 306.437, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 312.2, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 333.855, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 136.696, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.311, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 165.948, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 197.709, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"w\": 6, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 230.774, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 277.441, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 282.085, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"w\": 10, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 286.256, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"w\": 12, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 294.744, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 28, \"k\": 45, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 301.413, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 147.822, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 156.628, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 181.813, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 188.684, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 200.207, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 223.308, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 263.806, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 260.668, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 247.911, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 271.196, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 275.98, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 283.245, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 302.793, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 303.713, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 314.111, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 16, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 330.971, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 336.419, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 36, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 161.891, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 174.168, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 203.007, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 235.887, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 260.83, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 24, \"tile_m\": 2, \"tile_n\": 5, \"w\": 12, \"v\": 40, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 328.273, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 318.496, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 323.253, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 338.61, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 32, \"tile_m\": 2, \"tile_n\": 5, \"w\": 12, \"v\": 38, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 342.906, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 45, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 12, \"v\": 44, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 366.795, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 197.885, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 216.145, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 218.838, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 224.281, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 16, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 213.982, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 230.421, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 16, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 232.968, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 231.308, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 267.108, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 20, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 272.491, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 20, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 292.149, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 258.209, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 32, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 311.422, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 326.197, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 41.0244, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 76.5643, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 101.102, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"w\": 2, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 85.363, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"w\": 4, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 138.924, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 10, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"w\": 6, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 168.55, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 119.369, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 184.444, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 226.439, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 43.2513, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 52.8509, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 56.0623, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 70.6265, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 76.3591, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 90.3877, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 104.947, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 108.128, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 117.022, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.619, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.972, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 116.617, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 119.202, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 53.2937, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 64.8851, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 68.9342, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 84.6639, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 91.9906, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 107.42, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 121.912, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 125.062, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 134.168, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 127.673, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 129.534, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 127.182, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 138.029, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 63.7826, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 77.3562, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 81.9641, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 99.2729, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 108.16, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 128.018, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 134.069, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 141.119, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 147.402, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 147.837, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 151.996, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 149.231, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 163.734, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 78.0533, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 91.3267, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 105.373, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 124.195, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 121.754, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 150.445, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 166.502, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 167.3, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 175.569, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 178.527, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 185.133, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 178.92, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 194.196, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 82.0886, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 98.1233, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 102.023, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 120.113, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 128.209, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 149.02, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 161.845, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 166.142, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 171.029, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 173.179, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 175.852, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 180.319, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 6, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 179.384, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 64, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 213.459, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 101.905, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 116.398, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 127.421, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 146.46, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 156.829, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 189.636, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 214.841, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 191.644, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 210.521, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 214.991, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 212.921, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 210.224, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 234.974, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 215.62, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 14, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 230.5, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 231.585, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 142.372, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 161.476, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 180.677, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 205.549, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 205.186, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 240.903, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 253.252, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 267.825, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 247.453, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 268.121, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 272.615, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 265.276, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 263.235, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 270.638, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 276.949, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 55, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 303.184, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 64, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 312.221, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 113.047, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 135.825, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 152.914, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 165.821, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 179.436, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 215.752, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 202.68, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 210.423, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 234.804, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"w\": 6, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 235.716, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 241.704, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 235.825, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 255.137, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 138.141, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 161.969, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 169.805, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 205.457, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 217.014, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 223.224, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 253.21, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 260.436, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 273.938, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 277.81, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 291.318, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 289.631, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 305.311, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 64, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 349.601, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 143.468, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 167.762, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 176.832, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 213.06, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 226.28, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 230.437, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 263.178, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 264.544, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 279.549, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 282.297, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 295.553, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 291.977, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 313.606, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 150.444, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 174.489, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 184.054, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 207.226, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 235.336, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 239.748, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 283.218, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 275.019, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 298.156, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 302.868, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 313.429, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 309.598, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 328.287, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 145.64, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 161.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 166.297, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 203.682, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 211.795, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 235.299, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 273.171, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 265.788, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 285.563, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 284.848, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 301.847, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 298.512, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 308.645, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 264.624, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 29, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 294.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 312.556, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 29, \"k\": 55, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 360.672, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 149.795, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 166.138, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 189.982, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 234.188, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.327, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 290.526, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 326.65, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 322.698, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 328.078, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 344.677, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 358.185, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 342.564, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 360.103, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 55, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 331.33, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 55, \"k\": 29, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 40, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 387.674, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 55, \"k\": 55, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 430.218, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 64, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 40, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 281.238, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 64, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 40, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 374.147, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 64, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 40, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 409.267, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 64, \"k\": 64, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 500.346, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 44.4021, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 54.1312, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 55.1151, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 64.4064, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 69.4042, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 86.341, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 99.1383, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 98.4389, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 113.713, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 109.504, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 109.247, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 112.934, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 116.496, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 55.1226, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 67.2537, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 67.5261, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 78.5404, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 86.2825, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 106.81, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 121.92, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 122.006, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 136.463, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 132.002, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 135.055, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 131.777, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 138.231, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 60.0659, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 69.3811, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 76.6485, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"w\": 4, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 87.7851, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 93.856, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 121.148, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 129.192, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 129.614, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 140.116, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 138.103, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 142.037, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 145.376, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 6, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 150.065, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 73.5398, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 84.7969, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 90.287, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 110.66, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 117.865, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 136.931, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 151.999, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 153.384, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 157.352, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 157.04, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 158.743, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 158.262, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 8, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 178.979, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 77.9497, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 93.1439, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 98.5145, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 115.668, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 130.249, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 150.565, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 163.688, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 167.344, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 171.276, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 166.022, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 168.798, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 168.829, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 184.866, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 100.145, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.278, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 131.89, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 149.14, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 161.29, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 199.157, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 215.17, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 193.774, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 220.321, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 220.147, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 222.453, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 213.018, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 238.862, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 116.716, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 136.165, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 154.74, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 169.907, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 177.331, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 203.746, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"w\": 4, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 206.356, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 207.944, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 235.476, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"w\": 6, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 235.699, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 245.438, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 240.279, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 257.664, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 123.512, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 144.444, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 153.953, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 179.063, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 194.247, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 227.787, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 228.835, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 239.722, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 235.625, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 237.176, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 240.597, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 240.047, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 260.215, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 138.391, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.4, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 150.275, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 182.307, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 187.291, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 214.624, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 246.559, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 251.891, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 245.288, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 245.432, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 262.797, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 257.52, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 279.426, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 131.562, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 153.614, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 153.311, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 183.993, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 192.159, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 227.532, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 253.516, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 253.057, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 263.902, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 257.187, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 274.723, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 264.933, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 16, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 282.093, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 149.438, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 160.205, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 165.872, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 196.795, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 203.363, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 236.192, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 260.019, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 260.23, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 265.399, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 267.658, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 276.151, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 280.206, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 301.526, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 155.546, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 155.547, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 174.528, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 205.713, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 205.14, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 243.482, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 272.907, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 275.819, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 277.137, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 285.309, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 292.828, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 288.933, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 18, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 317.652, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 148.299, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 168.196, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 182.522, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 230.442, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 233.382, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 261.656, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 304.612, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 292.771, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 305.08, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 328.197, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 335.43, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 337.328, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 356.942, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 57.5751, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 61.4088, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 66.0702, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 83.1265, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 90.0009, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 109.711, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 119.067, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 119.067, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 126.35, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 125.232, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 126.365, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 123.866, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 128.16, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 64.238, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 73.3009, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 74.4677, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 93.8793, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 97.9858, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 125.068, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 136.417, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 138.949, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 145.653, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 147.827, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 141.609, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 144.189, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 146.023, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 69.8662, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 77.9372, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 84.6147, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 106.018, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 109.232, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 137.639, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 143.963, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.12, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 147.34, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 144.445, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 152.082, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 150.145, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 6, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 163.029, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 94.6278, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 101.742, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 113.174, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 142.411, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 145.287, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 172.352, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 187.276, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 184.837, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 185.428, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 187.194, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 197.07, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 190.52, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 8, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 205.185, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 89.3747, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 106.787, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 112.692, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 139.231, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 150.647, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 176.971, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 172.625, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 179.675, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 198.116, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 201.354, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 200.245, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 197.52, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 207.544, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 64, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.452, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 116.442, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 133.637, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 146.616, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 171.063, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 183.073, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 223.261, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 214.711, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 224.809, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 221.172, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 228.978, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 233.378, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 236.465, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 250.128, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 141.362, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 165.072, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 168.045, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 208.282, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 221.618, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 242.184, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 254.265, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 270.21, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 275.664, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 279.173, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 292.083, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 290.449, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 308.173, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 64, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 357.117, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 139.051, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 159.925, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 158.152, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 188.223, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 202.404, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 224.16, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 245.41, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 257.375, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 256.316, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 255.027, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 259.941, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 256.136, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 275.263, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 163.707, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 187.588, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 192.65, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 227.684, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 241.517, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 290.16, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 316.266, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 317.077, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 330.052, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 308.901, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 310.483, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 317.329, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 345.889, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 64, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 397.616, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 147.314, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 165.555, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 177.922, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 217.558, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 220.434, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 270.773, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 295.869, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 281.315, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 301.99, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 311.315, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 311.437, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 325.286, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 332.066, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 146.658, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 172.584, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 190.547, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 231.867, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 230.841, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 283.717, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 305.622, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 300.284, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 321.992, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 330.118, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 337.228, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 342.548, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 24, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 356.369, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 150.577, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 174.989, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 196.805, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 217.596, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 231.7, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 276.614, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 268.495, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 14, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 274.845, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 305.508, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 307.774, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 312.05, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 314.535, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 328.943, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 173.713, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 199.383, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 213.238, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 279.051, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 280.794, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 317.355, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 321.452, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 17, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 322.465, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 368.406, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 32, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 359.94, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 374.035, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 379.484, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 392.581, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 64, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"w\": 4, \"v\": 40, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 278.224, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 64, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"w\": 4, \"v\": 40, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 364.597, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 64, \"k\": 22, \"tile_m\": 6, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 383.067, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 64, \"k\": 64, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 504.56, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 59.6814, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 63.3487, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 68.454, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 86.3208, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 93.3249, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 111.101, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 121.134, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 121.05, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 126.088, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 125.969, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 122.921, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 127.127, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 128.586, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 66.3956, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 76.0417, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 76.9185, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 94.7903, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 102.173, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 124.782, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 138.278, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 140.85, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 149.521, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 144.145, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 146.774, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 149.841, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 148.711, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 71.0708, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 79.8984, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 88.3131, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 109.787, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 112.176, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 137.164, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 149.132, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 136.359, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 153.003, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 148.475, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 154.711, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 151.108, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 164.982, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 96.1136, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 104.824, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 117.471, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.094, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 148.553, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 178.719, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 188.882, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 180.998, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 190.243, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 192.208, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 198.683, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 196.116, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 208.86, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 94.4818, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 111.971, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 115.643, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 144.455, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 157.597, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 184.356, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 177.395, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 180.861, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 204.892, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 205.862, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 205.963, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 201.066, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 210.534, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 116.674, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 136.278, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.585, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 173.078, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 185.538, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 226.085, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 216.852, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 219.365, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 226.737, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 232.991, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 241.459, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.493, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 258.236, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.182, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 165.435, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 175.112, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 216.799, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 227.299, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 234.514, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 260.11, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 266.036, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 279.926, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 284.497, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 297.891, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 297.501, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 317.92, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 133.402, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 155.289, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 160.956, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 192.178, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 207.496, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 228.053, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 253.335, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 255.563, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 265.383, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 252.781, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 274.855, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 264.804, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 14, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 281.666, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 146.324, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 165.527, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 177.939, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 218.859, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 222.676, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 270.777, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 286.218, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 282.016, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 307.973, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 314.138, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 321.113, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 323.835, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 340.251, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 160.698, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 179.196, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 200.307, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 225.962, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 239.666, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 286.552, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 319.963, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 292.211, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 317.15, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 362.853, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 331.615, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 333.812, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 352.432, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 151.249, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 176.59, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 196.262, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.385, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.724, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 291.1, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 312.142, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 17, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 309.544, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 332.21, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 337.924, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 345.783, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 348.405, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 366.046, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 153.591, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 177.384, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 202.501, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 223.371, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 239.736, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 286.414, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 20, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 278.305, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 20, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 285.804, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 20, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 308.631, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 313.656, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 321.263, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 317.704, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 340.048, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 180.711, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 200.317, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 221.286, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 289.124, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 290.689, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 327.89, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 332.643, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 17, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 334.409, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 360.996, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 369.126, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 384.75, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 381.494, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 398.604, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 58.8119, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 67.0164, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 72.194, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 89.6464, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 98.0009, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 115.513, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 123.069, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 124.559, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 128.978, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 125.42, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 128.156, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 131.844, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 132.646, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 70.448, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 80.4972, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 81.0577, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 101.258, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 107.347, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 131.211, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 143.808, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 142.699, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 153.077, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 150.001, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 152.933, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 147.417, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 153.309, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 76.9814, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 85.2808, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 93.5526, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 115.359, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 120.439, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 144.87, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 155.633, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 148.725, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 154.487, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 156.025, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 163.99, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 159.791, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 6, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 171.985, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 102.382, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 110.447, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 123.269, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 152.162, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 157.455, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 185.221, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 196.938, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 189.416, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 199.914, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 200.887, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 209.127, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 205.917, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 8, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 218.41, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 98.6797, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 118.095, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 123.841, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 150.841, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 164.779, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 192.82, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 192.434, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 191.25, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 209.088, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 204.604, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 216.095, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 211.244, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 227.824, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 125.487, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 146.004, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 160.137, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 183.429, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 196.169, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 210.09, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 243.961, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 233.808, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 244.295, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 245.584, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 253.032, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 252.69, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 271.274, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 151.035, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 177.041, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 183.2, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 220.011, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 237.976, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 255.121, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 283.257, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 282.576, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 305.434, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 305.948, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 312.346, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 311.766, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 16, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 330.08, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.753, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 172.254, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 170.444, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 202.085, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 220.336, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 241.006, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 267.336, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 269.754, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 278.395, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 270.301, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 282.786, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 278.266, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 299.296, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 146.407, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 171.925, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 190.105, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 231.681, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 233.468, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 284.038, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 308.103, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 301.954, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 325.781, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 331.261, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 338.308, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 343.473, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 356.001, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 151.001, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 176.59, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 196.204, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.901, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.093, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 292.274, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 315.493, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 311.324, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 335.112, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 341.553, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 347.719, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 351.889, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 23, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 367.949, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 171.861, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 199.591, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 223.508, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 252.144, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 270.155, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 316.953, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 16, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 346.718, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 331.579, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 362.792, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 369.879, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 411.88, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 372.117, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 401.738, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 443.769, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 165.895, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 192.911, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 216.881, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 240.006, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 255.794, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 304.306, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 296.427, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 20, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 300.411, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 335.764, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 332.247, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 20, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 341.77, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 345.182, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 358.776, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 188.795, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 202.909, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 6, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 216.291, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 301.015, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 301.38, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 20, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 306.849, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 358.411, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 348.821, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 382.529, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 388.857, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 396.116, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"w\": 6, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 397.018, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 417.571, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 30, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 482.675, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 61.5545, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 69.6079, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 75.6721, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"w\": 4, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 91.7531, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 113.536, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 127.9, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 127.537, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 134.943, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 139.857, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 139.994, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 72.4794, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 84.872, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 92.8771, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 112.844, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 137.821, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 152.264, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 10, \"v\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 152.747, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 159.29, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 164.744, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 167.914, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 90.9178, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 97.037, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 121.779, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 138.286, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 166.702, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 194.814, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 193.702, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 204.432, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 210.429, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 212.74, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 105.945, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 117.846, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 138.732, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 162.802, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 191.872, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 220.007, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 217.621, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 231.076, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 231.658, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 234.791, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 136.976, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 145.977, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 170.376, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 195.465, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 223.713, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 281.301, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 285.113, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 292.875, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 293.811, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 308.806, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 167.314, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 197.231, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 226.575, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 266.2, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 287.179, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 355.515, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 353.566, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 367.79, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 369.423, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 388.688, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 167.072, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 5, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 182.501, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 222.916, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 246.76, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 295.802, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 359.971, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 366.555, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 378.99, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 387.081, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 407.931, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 166.646, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 191.501, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 235.127, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 263.105, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 315.323, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 381.239, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 385.88, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 395.875, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 398.113, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 434.445, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 171.986, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 206.566, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 241.952, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 267.123, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 303.399, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 376.527, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 26, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 388.829, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 28, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 396.268, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 16, \"v\": 30, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 402.903, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 426.505, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 30, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 179.84, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 207.379, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 30, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 230.203, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 275.085, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 13, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 30, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 310.536, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 40, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 383.964, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 26, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 20, \"threads\": 256, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 382.733, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 28, \"tile_m\": 3, \"tile_n\": 4, \"w\": 14, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 405.725, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"w\": 16, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 416.094, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 20, \"v\": 30, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 435.914, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 64.5163, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 61.4003, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 71.0928, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 81.2663, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 87.9086, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"w\": 4, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 95.039, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 117.469, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 125.593, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 123.868, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 126.451, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 128.35, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 131.294, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 128.096, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 130.166, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 136.84, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 140.687, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 141.608, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 69.7487, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 74.0129, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 83.8041, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 93.9083, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 98.7557, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 106.652, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 130.365, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 135.751, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 135.026, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 140.428, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 142.897, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 141.37, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 148.961, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 150.882, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 160.591, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 163.472, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 163.834, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 72.6709, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 87.4288, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 99.3344, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 118.582, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 126.842, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 153.58, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 159.739, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 157.425, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 163.987, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 166.214, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 167.712, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 165.846, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 174.271, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 93.3904, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 98.4269, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 129.184, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 146.313, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 174.525, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 196.272, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 199.207, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 208.391, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 213.658, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 218.996, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 94.6073, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 104.199, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 120.103, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 147.207, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 158.986, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 184.007, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 185.8, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 184.285, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 191.661, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 194.119, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 203.357, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 201.388, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 8, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 214.072, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 109.036, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.163, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 131.35, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 144.626, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 157.793, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 169.191, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 189.564, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 197.735, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 202.974, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 205.221, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 209.048, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 218.442, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 224.446, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 226.888, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 238.998, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 238.306, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 18, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 247.183, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 141.329, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 147.765, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 164.444, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 180.199, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 189.61, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 206.587, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 243.394, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 244.889, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 248.672, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 250.837, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 251.925, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 262.097, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 287.926, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 292.748, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 305.399, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 307.713, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 321.334, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 152.877, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 155.57, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 170.247, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 201.911, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 223.126, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 248.219, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 272.563, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 278.933, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 283.175, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 283.731, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 283.395, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 289.704, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 16, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 312.21, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 155.536, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 152.251, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 174.981, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 203.653, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 229.052, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 254.23, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 281.091, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 285.713, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 275.4, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 284.987, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 298.462, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 287.445, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 12, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 314.433, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 149.972, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 176.08, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 196.809, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 217.745, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 9, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 220.047, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 262.523, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 289.65, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 275.462, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 306.524, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 22, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 306.629, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 312.951, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 316.347, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 331.192, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 154.026, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 179.309, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 202.375, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 222.858, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 221.968, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 273.966, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 276.664, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 12, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 285.445, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 317.821, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 307.93, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 320.822, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 327.373, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 341.076, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 166.334, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 194.858, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 217.359, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 240.36, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 9, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 240.63, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 284.219, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 317.599, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 300.196, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 333.184, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 24, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 332.175, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 342.541, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 342.458, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 24, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 360.604, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 167.244, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 188.512, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 217.789, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 242.956, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 304.863, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 357.372, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 362.44, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 380.957, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 388.464, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 405.487, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 175.533, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 195.723, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 223.837, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 238.031, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 260.398, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 281.056, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 317.738, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 332.873, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 16, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 315.978, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 350.804, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 348.123, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 356.594, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 375.765, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 381.742, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 28, \"tile_m\": 2, \"tile_n\": 4, \"w\": 14, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 396.724, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 401.65, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 425.671, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 174.838, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 200.558, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 246.118, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 273.477, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 332.816, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 397.022, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 404.741, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 414.939, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 426.043, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 28, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 457.514, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 176.504, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 212.767, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 222.341, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 247.293, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 245.658, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 280.034, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 316.971, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 335.651, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 325.543, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 358.85, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 365.224, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 382.529, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 399.183, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 404.75, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 409.577, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 426.515, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 32, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 442.282, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 224, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 155.312, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 5, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 204.843, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 7, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 233.548, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 9, \"tile_m\": 5, \"tile_n\": 3, \"w\": 4, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 262.492, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 13, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 318.4, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 25, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 393.097, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 26, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 399.976, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 28, \"tile_m\": 3, \"tile_n\": 4, \"w\": 14, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 422.791, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"w\": 16, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 436.141, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 45, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 16, \"v\": 44, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 455.227, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 69.7132, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 66.2641, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 84.8842, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 102.249, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 122.511, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 131.812, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 133.779, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 139.798, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 141.831, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 18, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 141.966, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 74.4649, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 79.7849, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 94.6668, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 113.375, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 137.689, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 154.897, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 157.88, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"w\": 14, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 163.76, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 166.725, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 170.449, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 96.7805, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 97.3331, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 123.661, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 145.578, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 178.204, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 199.125, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 201.107, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 14, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 211.525, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 215.029, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 222.228, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 117.282, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 122.678, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 156.349, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 183.005, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 200.618, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 238.125, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 240.037, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 249.198, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 254.885, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 9, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 260.931, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 135.514, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 148.634, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 181.031, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 204.184, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"w\": 6, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 231.477, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 276.693, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 280.226, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"w\": 14, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 287.948, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 293.103, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 13, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 304.228, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 168.069, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 5, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 193.423, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 7, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 225.794, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 258.556, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 320.669, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 381.261, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 384.478, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 396.377, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 412.267, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 427.011, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 176.915, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 5, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 202.981, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 7, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 237.458, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 271.994, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 334.498, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 400.225, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 410.723, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"w\": 14, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 417.684, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 431.942, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 26, \"k\": 45, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 456.463, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 179.862, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 210.103, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 242.486, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 266.488, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 311.697, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 374.666, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 26, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 379.954, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 28, \"tile_m\": 2, \"tile_n\": 4, \"w\": 14, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 385.627, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 16, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 399.675, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 419.193, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 190.475, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 226.849, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 265.598, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 294.248, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 336.212, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 425.078, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 430.851, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 436.482, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 16, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 454.724, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 32, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 470.523, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 162.232, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 5, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 213.556, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 7, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 248.9, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 278.037, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 13, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 339.473, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 25, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 421.292, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 26, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 425.013, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 28, \"tile_m\": 3, \"tile_n\": 4, \"w\": 14, \"v\": 42, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 443.193, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 32, \"tile_m\": 2, \"tile_n\": 5, \"w\": 16, \"v\": 40, \"threads\": 224, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 462.217, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 45, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 16, \"v\": 40, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 490.812, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 242.078, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 258.248, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 274.397, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 16, \"v\": 10, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 293.429, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 16, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 277.48, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 295.779, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 16, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 310.193, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 16, \"k\": 55, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 360.532, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 309.036, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 16, \"tile_m\": 4, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 321.264, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 397.654, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 395.307, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 55, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 431.556, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 14, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 331.383, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 29, \"tile_m\": 4, \"tile_n\": 2, \"w\": 10, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 423.499, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 433.652, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 55, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 478.124, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 55, \"k\": 16, \"tile_m\": 4, \"tile_n\": 4, \"w\": 8, \"v\": 38, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 326.811, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 55, \"k\": 29, \"tile_m\": 5, \"tile_n\": 3, \"w\": 10, \"v\": 44, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 384.341, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 55, \"k\": 32, \"tile_m\": 4, \"tile_n\": 4, \"w\": 8, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 424.502, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 55, \"k\": 55, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 30, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 465.271, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 78.1605, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 5, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 75.2026, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 84.3077, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 95.6134, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 107.39, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 112.586, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 129.333, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 132.816, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 132.452, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 135.963, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 136.381, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 137.282, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 139.087, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 140.533, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 143.079, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 146.474, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 148.211, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 86.8186, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 89.287, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 101.216, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 114.046, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 125.677, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 130.748, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 148.413, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 153.149, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 156.458, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 158.723, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 6, \"v\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 154.957, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 157.474, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 164.898, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 166.861, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 169.47, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 174.113, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"w\": 16, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 177.946, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 97.4182, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 106.15, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 119.531, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 148.581, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 153.276, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 172.995, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 179.544, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 17, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 177.212, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 177.592, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 179.563, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 184.834, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"w\": 6, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 181.915, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 191.164, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 113.424, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 112.889, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 139.831, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 162.492, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 191.194, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 216.084, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 218.187, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 28, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 222.478, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 228.388, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 233.435, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 125.786, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 129.29, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 143.901, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 174.913, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 185.745, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 206.098, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 214.735, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 213.369, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 222.523, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 223.88, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 231.024, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 229.882, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 12, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.979, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 132.73, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 135.487, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 145.86, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 164.668, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 182.062, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 189.732, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"w\": 6, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 213.509, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 219.794, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 215.226, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"w\": 6, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 226.772, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 230.82, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"w\": 8, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 239.49, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 252.716, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 257.379, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"w\": 14, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 260.597, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 16, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 267.55, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 273.232, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 150.16, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 162.28, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 181.421, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 7, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 200.411, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 218.093, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 222.138, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 265.867, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 281.835, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 263.517, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 273.854, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 288.889, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 292.866, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 25, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 299.633, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 305.955, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 28, \"tile_m\": 2, \"tile_n\": 4, \"w\": 14, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 315.29, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 339.092, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 16, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 341.117, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 271.737, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 313.057, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 340.64, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 151.321, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 166.987, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 189.814, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 237.248, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 241.881, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 292.252, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 329.973, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 324.51, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 333.461, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 344.66, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 358.655, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 347.137, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 362.722, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 144.864, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 169.7, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 6, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 186.207, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 231.895, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 237.103, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 285.362, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 298.281, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 294.427, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 321.363, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 314.354, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 333.041, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 323.24, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 17, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 351.318, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 174.057, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 195.309, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 213.72, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 8, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 264.277, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 280.289, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 325.002, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 348.283, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 337.15, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 351.551, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 23, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 363.288, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 385.833, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 378.454, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 407.594, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 170.118, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 202.087, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 6, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 219.29, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 8, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 272.379, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 291.61, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 337.911, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 358.681, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 349.834, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 361.851, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 23, \"tile_m\": 4, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 374.412, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 395.474, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 392.455, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 23, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 419.821, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 168.649, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 192.606, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 6, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 218.903, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 8, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 279.775, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 275.596, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 328.765, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 373.707, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 364.783, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 383.032, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 390.4, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 411.108, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 409.018, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 438.697, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 18, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 478.687, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 184.135, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 204.72, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 239.808, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 271.023, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 13, \"tile_m\": 2, \"tile_n\": 5, \"w\": 6, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 313.779, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 25, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 386.311, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 389.664, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 5, \"w\": 14, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 397.586, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 409.68, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 12, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 426.761, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 190.663, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 211.617, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 220.557, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 246.023, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 246.38, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 280.415, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 323.047, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 336.964, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 17, \"tile_m\": 4, \"tile_n\": 2, \"w\": 6, \"v\": 22, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 335.578, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 363.449, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 370.605, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 24, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 386.132, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 398.053, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 26, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 399.369, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 28, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 407.816, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 425.774, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 446.509, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 201.528, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 5, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 209.83, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 7, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 243.583, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 296.73, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 340.313, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 25, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 425.713, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 26, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 426.391, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 28, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 434.061, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"w\": 16, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 453.918, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 45, \"tile_m\": 2, \"tile_n\": 5, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 474.442, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 343.714, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 18, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 425.393, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 439.946, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 55, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 487.985, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 220.256, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 5, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 233.012, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 6, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 233.277, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 7, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 269.642, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 288.605, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 330.576, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 378.511, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"w\": 6, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 370.201, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 415.932, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 408.083, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 439.077, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 450.644, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 457.257, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 25, \"tile_m\": 4, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 471.97, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 26, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 482.604, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 485.43, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 29, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 470.358, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 509.322, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 526.52, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 55, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 531.47, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 34, \"threads\": 192, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 193.676, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 5, \"tile_m\": 4, \"tile_n\": 2, \"w\": 2, \"v\": 24, \"threads\": 192, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 201.497, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 238.295, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 9, \"tile_m\": 4, \"tile_n\": 3, \"w\": 4, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 315.514, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 13, \"tile_m\": 4, \"tile_n\": 3, \"w\": 6, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 372.936, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 25, \"tile_m\": 4, \"tile_n\": 3, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 481.689, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 26, \"tile_m\": 4, \"tile_n\": 3, \"w\": 12, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 483.916, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 28, \"tile_m\": 4, \"tile_n\": 3, \"w\": 14, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 503.765, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 32, \"tile_m\": 4, \"tile_n\": 3, \"w\": 8, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 523.025, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 45, \"tile_m\": 4, \"tile_n\": 3, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 536.898, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 55, \"k\": 29, \"tile_m\": 4, \"tile_n\": 4, \"w\": 8, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 447.064, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 55, \"k\": 32, \"tile_m\": 4, \"tile_n\": 4, \"w\": 4, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 477.495, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 55, \"k\": 55, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 518.157, \"source\": \"autotuned\"},\n{\"m\": 36, \"n\": 6, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 113.312, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 90.7503, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 88.8845, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 109.043, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 119.668, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 126.187, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 142.394, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"w\": 10, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 143.612, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"w\": 14, \"v\": 4, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 147.113, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"w\": 8, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 149.4, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"w\": 12, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 150.684, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 101.474, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 101.829, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 124.597, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 138.834, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"w\": 6, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 148.846, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 168.184, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 171.306, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 173.248, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 179.706, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 5, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"w\": 12, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 180.372, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 120.397, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"w\": 2, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 130.96, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 150.737, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 173.029, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 191.272, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 222.433, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 220.248, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 14, \"v\": 6, \"threads\": 160, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 229.232, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 16, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 232.684, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 7, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"w\": 8, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 240.56, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 130.378, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 142.506, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 167.682, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 190.947, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 223.144, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 258.374, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 260.559, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 266.255, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 271.239, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 9, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 288.261, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"w\": 2, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 161.582, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 174.113, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 201.625, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 234.915, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 255.57, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 24, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 327.987, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 314.759, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 320.527, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 28, \"tile_m\": 5, \"tile_n\": 2, \"w\": 10, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 333.834, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 346.121, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 13, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 12, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 371.646, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 24, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"w\": 6, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 369.651, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 24, \"k\": 24, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 456.36, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 24, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 476.863, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 24, \"k\": 45, \"tile_m\": 3, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 507.03, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 181.279, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 210.509, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 229.999, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 293.374, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 304.438, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 377.937, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 376.764, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 28, \"tile_m\": 5, \"tile_n\": 2, \"w\": 14, \"v\": 24, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 394.568, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"w\": 16, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 419.218, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 25, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 16, \"v\": 24, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 435.39, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 184.281, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 211.405, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 242.135, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 277.095, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 322.208, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 25, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 394.731, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 401.24, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 28, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 436.355, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 444.707, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 26, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 470.147, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 196.839, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 224.568, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 263.736, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 293.355, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 340.659, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 25, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 422.701, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 427.927, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 28, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 465.948, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 474.663, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 28, \"k\": 45, \"tile_m\": 5, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 500.869, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 218.515, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 5, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 224.185, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 7, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 257.346, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 9, \"tile_m\": 6, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 300.997, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 370.865, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 474.921, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 459.048, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 472.758, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 28, \"tile_m\": 3, \"tile_n\": 4, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 494.885, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 504.584, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 32, \"k\": 45, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 536.655, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 4, \"tile_m\": 6, \"tile_n\": 2, \"w\": 2, \"v\": 28, \"threads\": 256, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 178.318, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"w\": 2, \"v\": 28, \"threads\": 256, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 199.013, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"w\": 2, \"v\": 30, \"threads\": 352, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 229.112, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 9, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 28, \"threads\": 256, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 291.982, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 13, \"tile_m\": 3, \"tile_n\": 6, \"w\": 6, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 360.044, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 24, \"tile_m\": 6, \"tile_n\": 3, \"w\": 12, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 456.144, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 25, \"tile_m\": 6, \"tile_n\": 3, \"w\": 10, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 450.391, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 26, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 457.692, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 28, \"tile_m\": 3, \"tile_n\": 6, \"w\": 14, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 480.917, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 32, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 511.25, \"source\": \"autotuned\"},\n{\"m\": 45, \"n\": 45, \"k\": 45, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 534.417, \"source\": \"autotuned\"},\n{\"m\": 49, \"n\": 7, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 145.44, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 322.352, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 16, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 6, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 369.726, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 16, \"k\": 55, \"tile_m\": 5, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 426.451, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 29, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 339.155, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 29, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 26, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 383.513, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 29, \"k\": 32, \"tile_m\": 3, \"tile_n\": 5, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 427.971, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 29, \"k\": 55, \"tile_m\": 3, \"tile_n\": 5, \"w\": 6, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 466.603, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 32, \"k\": 29, \"tile_m\": 5, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 421.352, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 32, \"k\": 32, \"tile_m\": 5, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 461.927, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 32, \"k\": 55, \"tile_m\": 5, \"tile_n\": 3, \"w\": 6, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 500.36, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 55, \"k\": 16, \"tile_m\": 5, \"tile_n\": 5, \"w\": 6, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 361.626, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 55, \"k\": 29, \"tile_m\": 5, \"tile_n\": 5, \"w\": 10, \"v\": 30, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 408.729, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 55, \"k\": 32, \"tile_m\": 5, \"tile_n\": 5, \"w\": 6, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 501.123, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 55, \"k\": 55, \"tile_m\": 5, \"tile_n\": 5, \"w\": 6, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 588.05, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 213.145, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 240.201, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"w\": 4, \"v\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 263.151, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 4, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB1\", \"perf\": 286.988, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 9, \"k\": 64, \"tile_m\": 2, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 319.492, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 4, \"w\": 4, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 283.571, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 379.404, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 16, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 408.89, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 16, \"k\": 64, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 10, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 501.245, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 22, \"k\": 9, \"tile_m\": 6, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 271.107, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 22, \"k\": 16, \"tile_m\": 2, \"tile_n\": 6, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 369.789, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 22, \"k\": 22, \"tile_m\": 6, \"tile_n\": 2, \"w\": 4, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 383.088, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 22, \"k\": 64, \"tile_m\": 2, \"tile_n\": 6, \"w\": 8, \"v\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 507.361, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 64, \"k\": 9, \"tile_m\": 4, \"tile_n\": 4, \"w\": 4, \"v\": 16, \"threads\": 256, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 271.502, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 64, \"k\": 16, \"tile_m\": 4, \"tile_n\": 4, \"w\": 6, \"v\": 16, \"threads\": 256, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 363.539, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 64, \"k\": 22, \"tile_m\": 4, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 256, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 410.791, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 64, \"k\": 64, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 32, \"threads\": 256, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 563.614, \"source\": \"autotuned\"},\n{\"m\": 78, \"n\": 78, \"k\": 78, \"tile_m\": 5, \"tile_n\": 5, \"w\": 8, \"v\": 26, \"threads\": 256, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 589.26, \"source\": \"autotuned\"}\n]\n\n" }, { "path": "src/acc/libsmm_acc/parameters/parameters_K40.json", "content": "[\n{\"m\": 5, \"n\": 5, \"k\": 5, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 30.4899, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 44.1711, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 64.2483, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 95.1028, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 111.384, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 132.089, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 162.566, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"w\": 6, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 174.853, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 184.195, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 205.751, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 221.72, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 279.888, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 248.155, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 354.045, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 384.495, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"w\": 8, \"v\": 20, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 439.977, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"w\": 12, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 405.2, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 5, \"w\": 10, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 426.072, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 12, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 530.707, \"source\": \"autotuned\"}\n]" }, { "path": "src/acc/libsmm_acc/parameters/parameters_K80.json", "content": "[\n{\"m\": 5, \"n\": 5, \"k\": 5, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 33.4544, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 47.3645, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 70.7194, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"tiny\", \"perf\": 103.662, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 117.001, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"w\": 4, \"v\": 10, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 115.19, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 168.009, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 3, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 193.79, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 204.17, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 239.224, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 275.724, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 4, \"tile_n\": 2, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 322.824, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"w\": 6, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 279.903, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 22, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 405.672, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 12, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 439.289, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 6, \"tile_n\": 3, \"w\": 12, \"v\": 24, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 506.39, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"w\": 10, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 464.067, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 28, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 491.026, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 4, \"tile_n\": 4, \"w\": 8, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 594.053, \"source\": \"autotuned\"}\n]" }, { "path": "src/acc/libsmm_acc/parameters/parameters_Mi100.json", "content": "[\n{\"m\": 3, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 78.5689, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 107.279, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 100.095, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 129.566, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 143.375, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 171.506, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 151.772, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 189.693, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 190.111, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 9, \"algorithm\": \"small\", \"perf\": 203.871, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 9, \"algorithm\": \"small\", \"perf\": 220.995, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 232.418, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 4, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 84.0854, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 126.304, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 5, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 111.924, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 158.699, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 6, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 150.192, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 268.451, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 7, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 7, \"algorithm\": \"small\", \"perf\": 145.6, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 325.535, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 8, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 200.804, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 449.789, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 9, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 222.621, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 451.863, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 10, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 16, \"algorithm\": \"small\", \"perf\": 238.256, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 575.889, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 11, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 207.878, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 644.357, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 12, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 280.101, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 712.171, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 16, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"small\", \"perf\": 369.512, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 19, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 731.657, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 23, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 465.75, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 662.442, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 100.224, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 3, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 130.564, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"small\", \"perf\": 132.652, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 17, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 69.425, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 179.709, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 10, \"algorithm\": \"small\", \"perf\": 211.43, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 285.949, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 294.24, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 294.459, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 332.859, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 326.923, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"small\", \"perf\": 365.723, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 421.675, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 437.68, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 215.779, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"small\", \"perf\": 163.825, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 248.436, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 351.031, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 283.86, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 376.295, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 329.527, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 604.468, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"small\", \"perf\": 367.756, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 641.619, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 422.754, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 757.028, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 457.62, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 827.607, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 468.703, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 907.032, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 701.789, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 23, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 905.478, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 727.631, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 839.61, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 125.923, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 3, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 172.039, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 216.547, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 15, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 196.433, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 218.203, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 296.794, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"small\", \"perf\": 330.311, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 11, \"algorithm\": \"small\", \"perf\": 372.481, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 436.714, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 475.7, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 457.207, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 10, \"algorithm\": \"small\", \"perf\": 499.856, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 552.752, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 572.939, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 592.354, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 627.143, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 362.348, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 422.653, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 408.442, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 515.846, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 474.608, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 715.408, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 456.87, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 715.561, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 596.847, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 918.729, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 601.355, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 957.58, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 672.342, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1028.9, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 727.285, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1017.09, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 906.135, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 28, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 994.204, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 145.219, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 3, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 259.751, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"small\", \"perf\": 251.261, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 348.219, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 365.753, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 404.292, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 312.826, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 416.048, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 489.515, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 520.425, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"small\", \"perf\": 560.301, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 677.861, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 706.792, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 751.616, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 692.799, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 692.802, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 801.841, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 789.321, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 580.172, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 643.16, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"small\", \"perf\": 627.876, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 863.494, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 686.311, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 900.947, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 776.398, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1017.7, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 11, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 724.477, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 938.489, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 12, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 761.713, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 974.612, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 943.453, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1176.82, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1052.43, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 27, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1111.44, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 3, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 152.123, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 3, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 315.151, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 282.41, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 377.56, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 420.179, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 544.38, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 564.013, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 573.971, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 406.999, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 511.252, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 656.8, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 751.558, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 783.998, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 886.637, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 919.377, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 831.615, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 919.946, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 969.153, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1000.31, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 17, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 910.49, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 819.953, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 990.167, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 847.471, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1033.8, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 832.461, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 937.67, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 11, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 906.165, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1040.96, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 12, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 970.295, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 15, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1116.73, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 16, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1165.88, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 27, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1277.36, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 23, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1216.97, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1240.93, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 159.262, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 3, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 387.939, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 295.644, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 581.174, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 405.688, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 731.98, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 659.632, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 863.496, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 812.825, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 973.042, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 568.097, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 725.612, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 790.621, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 963.313, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 1033.73, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1099.94, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 15, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1142.36, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 15, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1049.41, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 14, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1374.93, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 28, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1388.91, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1436.55, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1370.75, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 14, \"algorithm\": \"small\", \"perf\": 215.434, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 3, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 493.605, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 328.852, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 643.801, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 529.804, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 742.897, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 684.404, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 894.321, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 872.306, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1061.49, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 560.057, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 727.028, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 780.091, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 907.002, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 959.107, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 17, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 479.296, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1169.07, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 23, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1097.3, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 15, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1338.03, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 23, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1401.05, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 27, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1472.7, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"w\": 6, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 1473.69, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 233.094, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 3, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 557.492, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 421.968, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 749.252, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"small\", \"perf\": 560.463, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 923.14, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 787.636, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1063.7, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 7, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 842.767, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 941.764, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 675.109, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 836.688, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 987.67, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1115.08, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1129.39, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1233.05, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1287.76, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1224.44, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 16, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1490.82, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 27, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1486.68, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 23, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 28, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1551.4, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1591.47, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 221.534, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 3, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 595.556, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 443.417, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 762.441, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 594.138, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 990.084, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 720.225, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 926.173, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 881.997, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1005.66, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 745.298, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 15, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 931.779, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1078.77, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 15, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1178.24, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1219.72, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1410.56, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 23, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1391.57, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 28, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1313.93, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 16, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 19, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1507.09, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1546.67, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 23, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1618.53, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1644.3, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 3, \"k\": 3, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 21, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 704.989, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 3, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 643.778, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 486.135, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 908.392, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 691.423, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1022.02, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 766.077, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 6, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 985.725, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 956.029, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 7, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 17, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1110.58, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 3, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 14, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 797.35, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 8, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1027.58, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1082.57, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1205.76, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1261.71, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 17, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1471.99, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 24, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1466.11, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 17, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1371.86, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 16, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 24, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1631.08, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 27, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1644.39, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 23, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 27, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1691.75, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 320, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1688.82, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1139.41, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 27, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1485.0, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 320, \"grouping\": 27, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1695.45, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1780.63, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 28, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1584.33, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 384, \"grouping\": 27, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1570.32, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1630.31, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 23, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 27, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1804.97, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1892.29, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2134, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 448, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1966.76, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"w\": 4, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 2095.2, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2215.32, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1633.57, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"w\": 6, \"v\": 8, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 1665.4, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 23, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1837.85, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 1892.88, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 353.838, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 3, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 725.825, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 666.586, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 19, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 903.482, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 776.943, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1020.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1014.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 23, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1160.16, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1171.68, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 28, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1260.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1382.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 27, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1393.63, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1319.87, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1395.11, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 10, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 15, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1480.96, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 10, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 24, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1492.09, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1491.61, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 11, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1531.95, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 23, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1610.57, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 12, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1644.39, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 14, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1177.38, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1443.55, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1567.84, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1680.36, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1740.35, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1826.42, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 23, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1786.6, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1859.02, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 27, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1799.92, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1865.23, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1650.28, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1808.55, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1992.05, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 28, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1992.93, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 320, \"grouping\": 14, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1146.99, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1793.01, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1930.99, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2010.24, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 18, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1880.87, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1918.75, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 23, \"k\": 18, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2029.31, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2098.78, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 27, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1945.5, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 23, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1948.91, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 23, \"k\": 19, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2088.58, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2103.37, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 27, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2075.88, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2098.72, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 23, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2245.52, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 27, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2194.19, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2085.32, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 399.032, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 3, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 27, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 656.377, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 712.481, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 27, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 841.282, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 943.656, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 999.371, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 17, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1067.35, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1103.71, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 7, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 17, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1246.95, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 7, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 27, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1221.83, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1420.96, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1377.44, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1406.48, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 320, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1446.1, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1532.79, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 10, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1542.76, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 11, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1571.7, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 11, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1653.64, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 12, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 320, \"grouping\": 27, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1674.66, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 12, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1685.09, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 27, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1702.87, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1782.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 14, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 27, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1813.44, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 14, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"w\": 8, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"largeDB2\", \"perf\": 1855.17, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 15, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 27, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1847.69, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 15, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1932.88, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2042.72, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2029.55, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1988.76, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 27, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1978.55, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 18, \"k\": 18, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2027.47, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 18, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2063.18, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 19, \"k\": 19, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2100.91, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 19, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2101.92, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 20, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2184.23, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 20, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 23, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2173.16, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 3, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1419.22, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 17, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1605.96, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 15, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1752.18, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 17, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1845.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 320, \"grouping\": 27, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1944.44, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 320, \"grouping\": 27, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2046.73, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 24, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2042.53, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 320, \"grouping\": 27, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2109.63, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 27, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2112.83, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2177.15, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 27, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2147.5, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2272.49, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2208.95, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2280.07, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2256.47, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 18, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 512, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2255.32, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 19, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2293.72, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2277.62, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2364.81, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2206.75, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"w\": 4, \"v\": 24, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 2601.14, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2911.99, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"w\": 8, \"v\": 32, \"threads\": 192, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 2922.57, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"w\": 4, \"v\": 14, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"perf\": 2023.79, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 4, \"tile_n\": 5, \"w\": 12, \"v\": 22, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 1645.23, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 32, \"tile_m\": 4, \"tile_n\": 5, \"w\": 8, \"v\": 20, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 1645.23, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 29, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2654.97, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 4, \"w\": 8, \"v\": 26, \"threads\": 256, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 2651.39, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2928.56, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2938.29, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3074.24, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2921.67, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 768, \"grouping\": 24, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3163.92, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 24, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3227.09, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 24, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3209.37, \"source\": \"autotuned\"},\n{\"m\": 72, \"n\": 72, \"k\": 72, \"tile_m\": 4, \"tile_n\": 8, \"w\": 8, \"v\": 48, \"threads\": 192, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4434.41, \"source\": \"autotuned\"},\n{\"m\": 80, \"n\": 80, \"k\": 80, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 18, \"threads\": 832, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 4440.8, \"source\": \"autotuned\"}\n]" }, { "path": "src/acc/libsmm_acc/parameters/parameters_Mi250.json", "content": "[\n{\"m\": 3, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 48.6087, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 84.8962, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 73.5997, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 107.41, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 128.314, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 116.311, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 141.009, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 160.153, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 165.478, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 158.175, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 170.362, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 200.418, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 4, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 60.2617, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 84.0512, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 5, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 82.3408, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 122.632, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 6, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 149.966, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"small\", \"perf\": 202.623, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 7, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 104.887, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 265.285, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 8, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 142.651, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 279.469, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 9, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 157.818, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 389.226, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 10, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 153.817, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 450.936, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 11, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 172.335, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 487.302, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 12, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 272.932, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 646.875, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 16, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 366.395, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 826.618, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 23, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 346.986, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 807.591, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 3, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 59.588, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 3, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 91.0536, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 111.908, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 123.061, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 151.283, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 158.124, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 183.758, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 226.413, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 289.266, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"small\", \"perf\": 234.219, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 234.747, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 282.632, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 11, \"algorithm\": \"small\", \"perf\": 299.18, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 377.083, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 203.089, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 202.459, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 169.162, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 217.578, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 174.636, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 262.665, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 222.977, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 447.137, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 249.88, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 449.647, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 270.477, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 575.986, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 266.977, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 741.426, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 476.482, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 825.924, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 505.524, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1067.92, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 563.703, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 29, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1029.0, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 78.5437, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 3, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 140.412, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 119.486, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 211.411, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 149.112, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"small\", \"perf\": 197.036, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 222.291, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 267.939, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 302.075, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 423.773, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 299.693, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 434.313, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 503.922, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 511.274, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 518.448, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 573.268, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 300.709, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 386.735, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 281.674, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 328.184, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 296.814, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 483.122, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 384.674, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 706.199, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 414.447, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 745.609, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 601.937, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 945.236, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 472.861, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1016.93, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 694.503, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1120.43, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 14, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 925.576, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1227.76, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 94.2544, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 3, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 156.363, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 165.788, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 230.366, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 242.931, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 269.907, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 285.082, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 274.249, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 442.052, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 369.733, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 470.905, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 575.643, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 524.301, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 541.641, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 538.35, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 566.47, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 727.804, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 799.476, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 342.394, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 393.183, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 493.64, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 699.393, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 556.646, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 864.42, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 471.286, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 943.323, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 11, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 674.902, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 758.811, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 12, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 729.121, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 915.954, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 899.944, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1304.86, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 925.427, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1349.15, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 3, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 119.395, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 3, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 209.607, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 211.854, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 320.618, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 337.009, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 410.337, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 469.564, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 367.395, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 328.442, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 355.5, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 478.243, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 538.794, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 632.94, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 759.257, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 761.05, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 778.019, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 706.199, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 793.057, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1008.46, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 969.576, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 568.161, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 902.969, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 517.355, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 793.253, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 718.91, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 900.092, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 11, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 848.213, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 963.974, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 12, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 901.596, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 14, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1120.87, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 16, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1149.36, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1466.3, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 23, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 16, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1193.54, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1522.25, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 132.835, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 3, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 330.918, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 245.039, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 516.246, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 297.418, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 516.822, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 559.016, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 598.724, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 561.082, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 763.392, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 393.813, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 537.112, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 644.83, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 623.792, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 747.128, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 839.605, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1183.61, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1200.78, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1425.14, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1671.22, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1412.43, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 31, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1682.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 129.559, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 3, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 427.699, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 283.085, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 442.617, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 391.489, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 590.993, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 558.289, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 748.385, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 855.688, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 960.205, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 472.711, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 526.767, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 643.738, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 832.733, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 14, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 917.151, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 953.237, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 19, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1169.1, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1250.03, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1259.32, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1604.95, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1484.93, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1808.53, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 172.47, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 3, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 423.394, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 253.505, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 687.576, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 453.449, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 836.378, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 649.71, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1008.29, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 663.084, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 860.717, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 514.267, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"small\", \"perf\": 689.868, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 957.051, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 853.143, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 863.212, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1115.59, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1434.5, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 24, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1432.58, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 16, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1513.98, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1714.34, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 23, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 23, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1622.51, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1944.26, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 176.216, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 3, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 496.753, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 329.247, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 694.62, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 412.56, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 777.126, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 623.818, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 800.38, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 838.182, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 7, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 988.882, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 724.31, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 835.893, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1030.54, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1067.98, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1052.5, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1357.04, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1482.09, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1558.5, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 16, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1618.33, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1814.42, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 23, \"k\": 11, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 22, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1773.17, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1969.81, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 192.663, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 3, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 641.726, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 309.312, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 743.23, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 542.139, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1027.16, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 643.773, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 6, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 906.348, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 809.689, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 7, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1090.56, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 3, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 10, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 798.931, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 917.343, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1084.48, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1147.44, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1182.77, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1484.64, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1631.09, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1629.36, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 16, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1804.78, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2003.56, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 23, \"k\": 12, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 21, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1787.6, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2065.04, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 15, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1671.24, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 26, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1771.39, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1923.26, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2135.27, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1768.02, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 31, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1873.71, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1930.65, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2050.32, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 23, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2028.22, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2191.81, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2174.29, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2415.93, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2627.22, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2394.63, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2657.66, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 6, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2734.11, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1891.35, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2019.48, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 23, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2140.57, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2301.82, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"small\", \"perf\": 271.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 3, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 831.372, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 554.061, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1081.08, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 644.356, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1136.45, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 749.443, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1346.31, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1107.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 7, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1474.34, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1406.39, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 26, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1698.93, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 18, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1310.24, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1602.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1460.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 10, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1717.21, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1622.85, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 11, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1807.14, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1846.72, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 12, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1984.15, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 3, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1177.38, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1558.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1415.67, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1847.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1712.64, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2026.67, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1843.78, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2161.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1990.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 12, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2230.82, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2299.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2240.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 32, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2338.78, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2403.01, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2037.81, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2136.81, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 29, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2226.25, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2312.55, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 18, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2226.65, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 31, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2262.32, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 23, \"k\": 18, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2325.84, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 23, \"k\": 23, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 256, \"grouping\": 25, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2424.69, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 19, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2263.16, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 192, \"grouping\": 29, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2327.58, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 23, \"k\": 19, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2406.26, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2470.3, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2398.36, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 19, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2424.99, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 23, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2544.57, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 576, \"grouping\": 25, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2581.28, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2627.8, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 416.91, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 3, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 803.507, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 504.685, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1032.52, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 768.368, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1208.14, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1008.43, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 29, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1354.9, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 7, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1156.79, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 7, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1518.1, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1409.05, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1673.24, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1467.38, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1770.44, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1674.46, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 10, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1923.06, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 11, \"k\": 11, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1759.15, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 11, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1963.18, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1778.02, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 12, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2084.23, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1928.04, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2135.28, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 14, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2031.27, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 14, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2192.88, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2165.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 15, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2304.05, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2334.13, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2403.02, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2218.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 21, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2332.53, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 18, \"k\": 18, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2330.69, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 18, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2432.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 19, \"k\": 19, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 31, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2403.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 19, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2478.42, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 20, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2534.06, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 20, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2559.43, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 3, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1254.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 15, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1523.87, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 192, \"grouping\": 17, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1697.4, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1810.83, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1935.98, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 192, \"grouping\": 22, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2075.16, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 32, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2137.24, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 31, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2221.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 11, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2291.66, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 12, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 32, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2340.29, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2403.89, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2403.99, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2457.42, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2523.59, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2516.3, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 18, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2508.77, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 19, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2543.19, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 20, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2558.41, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2633.42, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3079.79, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3179.83, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 384, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3430.27, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3544.87, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2113.67, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 29, \"tile_m\": 4, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2313.13, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2426.9, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 14, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 256, \"grouping\": 32, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2762.54, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 3268.86, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 3430.8, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 320, \"grouping\": 32, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3099.21, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3632.97, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB1\", \"perf\": 3755.41, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 29, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2364.55, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2643.28, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 576, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2768.43, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3394.48, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3594.98, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 320, \"grouping\": 32, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3173.65, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 512, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3673.46, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 512, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3801.04, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3570.23, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 3907.32, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4075.72, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4179.99, \"source\": \"autotuned\"},\n{\"m\": 72, \"n\": 72, \"k\": 72, \"tile_m\": 5, \"tile_n\": 6, \"w\": 8, \"v\": 28, \"threads\": 192, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8144.64, \"source\": \"autotuned\"}\n]" }, { "path": "src/acc/libsmm_acc/parameters/parameters_Mi300.json", "content": "[\n{\"m\": 3, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 48.6087, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 84.8962, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 73.5997, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 107.41, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 128.314, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 116.311, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 141.009, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 160.153, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 165.478, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 158.175, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 170.362, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 200.418, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 4, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 60.2617, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 84.0512, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 5, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 82.3408, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 122.632, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 6, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 149.966, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"small\", \"perf\": 202.623, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 7, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 104.887, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 265.285, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 8, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 142.651, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 279.469, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 9, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 157.818, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 389.226, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 10, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 153.817, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 450.936, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 11, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 172.335, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 487.302, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 12, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 272.932, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 646.875, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 16, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 366.395, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 826.618, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 23, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 346.986, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 807.591, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 3, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 59.588, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 3, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 91.0536, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 111.908, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 123.061, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 151.283, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 158.124, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 183.758, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 226.413, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 289.266, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"small\", \"perf\": 234.219, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 234.747, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 282.632, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 11, \"algorithm\": \"small\", \"perf\": 299.18, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 377.083, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 203.089, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 202.459, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 169.162, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 217.578, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 174.636, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 262.665, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 222.977, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 447.137, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 249.88, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 449.647, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 270.477, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 575.986, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 266.977, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 741.426, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 476.482, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 825.924, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 505.524, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1067.92, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 563.703, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 29, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1029.0, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 78.5437, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 3, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 140.412, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 119.486, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 211.411, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 149.112, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"small\", \"perf\": 197.036, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 222.291, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 267.939, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 302.075, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 423.773, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 299.693, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 434.313, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 503.922, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 511.274, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 518.448, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 573.268, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 300.709, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 386.735, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 281.674, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 328.184, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 296.814, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 483.122, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 384.674, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 706.199, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 414.447, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 745.609, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 601.937, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 945.236, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 472.861, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1016.93, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 694.503, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1120.43, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 14, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 925.576, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1227.76, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 94.2544, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 3, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 156.363, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 165.788, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 230.366, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 242.931, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 269.907, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 285.082, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 274.249, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 442.052, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 369.733, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 470.905, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 575.643, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 524.301, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 541.641, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 538.35, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 566.47, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 727.804, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 799.476, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 342.394, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 393.183, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 493.64, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 699.393, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 556.646, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 864.42, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 471.286, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 943.323, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 11, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 674.902, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 758.811, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 12, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 729.121, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 915.954, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 899.944, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1304.86, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 925.427, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1349.15, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 3, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 119.395, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 3, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 209.607, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 211.854, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 320.618, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 337.009, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 410.337, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 469.564, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 367.395, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 328.442, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 355.5, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 478.243, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 538.794, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 632.94, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 759.257, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 761.05, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 778.019, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 706.199, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 793.057, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1008.46, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 969.576, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 568.161, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 902.969, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 517.355, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 793.253, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 718.91, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 900.092, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 11, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 848.213, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 963.974, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 12, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 901.596, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 14, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1120.87, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 16, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1149.36, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1466.3, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 23, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 16, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1193.54, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1522.25, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 132.835, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 3, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 330.918, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 245.039, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 516.246, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 297.418, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 516.822, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 559.016, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 598.724, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 561.082, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 763.392, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 393.813, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 537.112, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 644.83, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 623.792, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 747.128, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 839.605, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1183.61, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1200.78, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1425.14, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1671.22, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1412.43, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 31, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1682.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 129.559, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 3, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 427.699, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 283.085, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 442.617, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 391.489, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 590.993, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 558.289, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 748.385, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 855.688, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 960.205, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 472.711, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 526.767, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 643.738, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 832.733, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 14, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 917.151, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 953.237, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 19, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1169.1, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1250.03, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1259.32, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1604.95, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1484.93, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1808.53, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 172.47, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 3, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 423.394, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 253.505, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 687.576, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 453.449, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 836.378, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 649.71, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1008.29, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 663.084, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 860.717, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 514.267, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"small\", \"perf\": 689.868, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 957.051, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 853.143, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 863.212, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1115.59, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1434.5, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 24, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1432.58, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 16, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1513.98, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1714.34, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 23, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 23, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1622.51, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1944.26, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 176.216, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 3, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 496.753, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 329.247, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 694.62, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 412.56, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 777.126, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 623.818, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 800.38, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 838.182, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 7, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 988.882, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 724.31, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 835.893, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1030.54, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1067.98, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1052.5, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1357.04, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1482.09, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1558.5, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 16, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1618.33, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1814.42, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 23, \"k\": 11, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 22, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1773.17, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1969.81, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 192.663, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 3, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 641.726, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 309.312, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 743.23, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 542.139, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1027.16, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 643.773, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 6, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 906.348, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 809.689, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 7, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1090.56, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 3, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 10, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 798.931, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 917.343, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1084.48, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1147.44, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1182.77, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1484.64, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1631.09, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1629.36, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 16, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1804.78, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2003.56, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 23, \"k\": 12, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 21, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1787.6, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2065.04, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 15, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1671.24, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 26, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1771.39, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1923.26, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2135.27, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1768.02, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 31, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1873.71, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1930.65, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2050.32, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 23, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2028.22, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2191.81, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2174.29, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2415.93, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2627.22, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2394.63, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2657.66, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 6, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2734.11, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1891.35, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2019.48, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 23, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2140.57, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2301.82, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"small\", \"perf\": 271.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 3, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 831.372, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 554.061, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1081.08, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 644.356, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1136.45, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 749.443, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1346.31, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1107.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 7, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1474.34, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1406.39, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 26, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1698.93, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 18, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1310.24, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1602.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1460.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 10, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1717.21, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1622.85, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 11, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1807.14, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1846.72, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 12, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1984.15, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 3, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1177.38, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1558.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1415.67, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1847.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1712.64, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2026.67, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1843.78, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2161.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1990.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 12, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2230.82, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2299.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2240.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 32, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2338.78, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2403.01, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2037.81, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2136.81, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 29, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2226.25, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2312.55, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 18, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2226.65, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 31, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2262.32, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 23, \"k\": 18, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2325.84, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 23, \"k\": 23, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 256, \"grouping\": 25, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2424.69, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 19, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2263.16, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 192, \"grouping\": 29, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2327.58, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 23, \"k\": 19, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2406.26, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2470.3, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2398.36, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 19, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2424.99, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 23, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2544.57, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 576, \"grouping\": 25, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2581.28, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2627.8, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 416.91, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 3, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 803.507, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 504.685, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1032.52, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 768.368, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1208.14, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1008.43, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 29, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1354.9, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 7, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1156.79, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 7, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1518.1, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1409.05, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1673.24, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1467.38, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1770.44, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1674.46, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 10, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1923.06, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 11, \"k\": 11, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1759.15, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 11, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1963.18, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1778.02, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 12, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2084.23, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1928.04, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2135.28, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 14, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2031.27, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 14, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2192.88, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2165.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 15, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2304.05, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2334.13, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2403.02, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2218.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 21, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2332.53, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 18, \"k\": 18, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2330.69, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 18, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2432.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 19, \"k\": 19, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 31, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2403.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 19, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2478.42, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 20, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2534.06, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 20, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2559.43, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 3, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1254.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 15, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1523.87, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 192, \"grouping\": 17, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1697.4, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1810.83, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1935.98, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 192, \"grouping\": 22, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2075.16, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 32, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2137.24, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 31, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2221.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 11, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2291.66, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 12, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 32, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2340.29, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2403.89, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2403.99, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2457.42, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2523.59, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2516.3, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 18, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2508.77, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 19, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2543.19, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 20, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2558.41, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2633.42, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3079.79, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3179.83, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 384, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3430.27, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3544.87, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2113.67, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 29, \"tile_m\": 4, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2313.13, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2426.9, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 14, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 256, \"grouping\": 32, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2762.54, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 3268.86, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 3430.8, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 320, \"grouping\": 32, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3099.21, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3632.97, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB1\", \"perf\": 3755.41, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 29, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2364.55, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2643.28, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 576, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2768.43, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3394.48, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3594.98, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 320, \"grouping\": 32, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3173.65, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 512, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3673.46, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 512, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3801.04, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3570.23, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 3907.32, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4075.72, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4179.99, \"source\": \"autotuned\"},\n{\"m\": 72, \"n\": 72, \"k\": 72, \"tile_m\": 5, \"tile_n\": 6, \"w\": 8, \"v\": 28, \"threads\": 192, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8144.64, \"source\": \"autotuned\"}\n]" }, { "path": "src/acc/libsmm_acc/parameters/parameters_Mi350.json", "content": "[\n{\"m\": 3, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 48.6087, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 84.8962, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 73.5997, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 107.41, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 128.314, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 116.311, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 141.009, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 160.153, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 165.478, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 158.175, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 15, \"algorithm\": \"small\", \"perf\": 170.362, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 3, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 200.418, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 4, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 60.2617, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 84.0512, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 5, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 82.3408, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 122.632, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 6, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 149.966, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"small\", \"perf\": 202.623, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 7, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 104.887, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 265.285, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 8, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 142.651, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 279.469, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 9, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 157.818, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 389.226, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 10, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 153.817, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 450.936, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 11, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 172.335, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 487.302, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 12, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 272.932, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 646.875, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 16, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 366.395, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 826.618, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 23, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 346.986, \"source\": \"autotuned\"},\n{\"m\": 3, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 807.591, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 3, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 59.588, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 3, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 91.0536, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 111.908, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 123.061, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 151.283, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 158.124, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 183.758, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 226.413, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"small\", \"perf\": 289.266, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"small\", \"perf\": 234.219, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 234.747, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 282.632, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 11, \"algorithm\": \"small\", \"perf\": 299.18, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 377.083, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 203.089, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 202.459, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 169.162, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 217.578, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 174.636, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 262.665, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 222.977, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 447.137, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 249.88, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 449.647, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 270.477, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 575.986, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 266.977, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 741.426, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 476.482, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 825.924, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 505.524, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1067.92, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 16, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 563.703, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 29, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1029.0, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 78.5437, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 3, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 140.412, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 119.486, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 211.411, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 149.112, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"small\", \"perf\": 197.036, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 222.291, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 267.939, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 302.075, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 423.773, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 299.693, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 434.313, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 503.922, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 511.274, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 518.448, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 573.268, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 300.709, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 386.735, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 281.674, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 328.184, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 296.814, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 483.122, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 384.674, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 706.199, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 414.447, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 745.609, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 601.937, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 945.236, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 472.861, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1016.93, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 694.503, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1120.43, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 14, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 925.576, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1227.76, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 94.2544, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 3, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 156.363, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 165.788, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 230.366, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 242.931, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 269.907, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 285.082, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 274.249, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 442.052, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 369.733, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 470.905, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 575.643, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 524.301, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 541.641, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 538.35, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 566.47, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 727.804, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 799.476, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 342.394, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 393.183, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 493.64, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 699.393, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 556.646, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 864.42, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 471.286, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 943.323, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 11, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 674.902, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 758.811, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 12, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 729.121, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 915.954, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 899.944, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1304.86, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 925.427, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1349.15, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 3, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 119.395, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 3, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 209.607, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 211.854, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 320.618, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 337.009, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 410.337, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 469.564, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 367.395, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 328.442, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 355.5, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 478.243, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 538.794, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 632.94, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 759.257, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 761.05, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 778.019, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 706.199, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 793.057, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1008.46, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 969.576, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 568.161, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 902.969, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 517.355, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 793.253, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 718.91, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 900.092, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 11, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 848.213, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 963.974, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 12, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 901.596, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 14, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1120.87, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 16, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1149.36, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1466.3, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 23, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 16, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1193.54, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1522.25, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 132.835, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 3, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 330.918, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 245.039, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 516.246, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 297.418, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 516.822, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 559.016, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 598.724, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 561.082, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 763.392, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 393.813, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 537.112, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 644.83, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 623.792, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 747.128, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 839.605, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1183.61, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1200.78, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1425.14, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1671.22, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1412.43, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 31, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1682.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 129.559, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 3, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 427.699, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 283.085, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 442.617, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 391.489, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 590.993, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 8, \"algorithm\": \"small\", \"perf\": 558.289, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 748.385, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 855.688, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 960.205, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 472.711, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 526.767, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 643.738, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 832.733, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 14, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 917.151, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"small\", \"perf\": 953.237, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 19, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1169.1, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1250.03, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1259.32, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1604.95, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1484.93, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1808.53, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 172.47, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 3, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 423.394, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 253.505, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 687.576, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 453.449, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 836.378, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 649.71, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1008.29, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 663.084, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 7, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 860.717, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 3, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 514.267, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 12, \"minblocks\": 9, \"algorithm\": \"small\", \"perf\": 689.868, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 957.051, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 853.143, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 12, \"algorithm\": \"small\", \"perf\": 863.212, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1115.59, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1434.5, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 24, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1432.58, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 16, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1513.98, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1714.34, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 23, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 23, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1622.51, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1944.26, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 176.216, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 3, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 496.753, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 329.247, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 694.62, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 18, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 412.56, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 777.126, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 13, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 623.818, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 800.38, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 838.182, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 7, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 988.882, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 724.31, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 835.893, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1030.54, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1067.98, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1052.5, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1357.04, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1482.09, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1558.5, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 16, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1618.33, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1814.42, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 23, \"k\": 11, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 22, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1773.17, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1969.81, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 192.663, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 3, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 641.726, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 309.312, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 743.23, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 542.139, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1027.16, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 643.773, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 6, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 906.348, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 809.689, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 7, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 13, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1090.56, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 3, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 10, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 798.931, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 18, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 917.343, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 16, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1084.48, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1147.44, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1182.77, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1484.64, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1631.09, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1629.36, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 16, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1804.78, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2003.56, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 23, \"k\": 12, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 21, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1787.6, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2065.04, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 15, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1671.24, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 26, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1771.39, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 13, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1923.26, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2135.27, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1768.02, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 31, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1873.71, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1930.65, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2050.32, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 23, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2028.22, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2191.81, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2174.29, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2415.93, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2627.22, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2394.63, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2657.66, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 6, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2734.11, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1891.35, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2019.48, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 23, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2140.57, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2301.82, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"small\", \"perf\": 271.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 3, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 831.372, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 554.061, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1081.08, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 644.356, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1136.45, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 749.443, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 19, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1346.31, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1107.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 7, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1474.34, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 18, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1406.39, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 8, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 26, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1698.93, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 18, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1310.24, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1602.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1460.69, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 10, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1717.21, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 11, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1622.85, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 11, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 19, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1807.14, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 18, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1846.72, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 12, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 20, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1984.15, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 3, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 11, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1177.38, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1558.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 5, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1415.67, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1847.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1712.64, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2026.67, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1843.78, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 19, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2161.01, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 11, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1990.73, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 12, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2230.82, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2299.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2240.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 16, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 32, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2338.78, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2403.01, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2037.81, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2136.81, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 29, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2226.25, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2312.55, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 18, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2226.65, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 31, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2262.32, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 23, \"k\": 18, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2325.84, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 23, \"k\": 23, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 256, \"grouping\": 25, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2424.69, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 19, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2263.16, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 23, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 192, \"grouping\": 29, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2327.58, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 23, \"k\": 19, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2406.26, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2470.3, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2398.36, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 19, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2424.99, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 23, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2544.57, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 23, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 576, \"grouping\": 25, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2581.28, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 512, \"grouping\": 19, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2627.8, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 3, \"k\": 3, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 416.91, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 3, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 803.507, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 20, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 504.685, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1032.52, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"small\", \"perf\": 768.368, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1208.14, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 11, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1008.43, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 29, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1354.9, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 7, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 20, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1156.79, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 7, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 30, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1518.1, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 18, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1409.05, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 8, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1673.24, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1467.38, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1770.44, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 20, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1674.46, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 10, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1923.06, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 11, \"k\": 11, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 22, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1759.15, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 11, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1963.18, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 12, \"k\": 12, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1778.02, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 12, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2084.23, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1928.04, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2135.28, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 14, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2031.27, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 14, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2192.88, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2165.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 15, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2304.05, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2334.13, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2403.02, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 17, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2218.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 21, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2332.53, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 18, \"k\": 18, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2330.69, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 18, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2432.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 19, \"k\": 19, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 31, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2403.93, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 19, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2478.42, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 20, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2534.06, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 20, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2559.43, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 3, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 16, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1254.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 15, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1523.87, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 192, \"grouping\": 17, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1697.4, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 17, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1810.83, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1935.98, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 8, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 192, \"grouping\": 22, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2075.16, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 32, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2137.24, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 31, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2221.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 11, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 31, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2291.66, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 12, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 32, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2340.29, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 384, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2403.89, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2403.99, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 15, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2457.42, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2523.59, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2516.3, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 18, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2508.77, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 19, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2543.19, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 20, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2558.41, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 30, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2633.42, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 384, \"grouping\": 30, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 3079.79, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 320, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3179.83, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 384, \"grouping\": 30, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3430.27, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 3544.87, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2113.67, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 29, \"tile_m\": 4, \"tile_n\": 2, \"w\": 10, \"v\": 8, \"threads\": 64, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 2313.13, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2426.9, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 14, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 256, \"grouping\": 32, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2762.54, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 8, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 3268.86, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 22, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB1\", \"perf\": 3430.8, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 320, \"grouping\": 32, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3099.21, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 3632.97, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 12, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB1\", \"perf\": 3755.41, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 14, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 29, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2364.55, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 29, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 448, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2643.28, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 576, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2768.43, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 24, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 12, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3394.48, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"w\": 8, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3594.98, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 320, \"grouping\": 32, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3173.65, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 512, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3673.46, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 512, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 3801.04, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 14, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 3570.23, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"perf\": 3907.32, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"perf\": 4075.72, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"w\": 4, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4179.99, \"source\": \"autotuned\"},\n{\"m\": 72, \"n\": 72, \"k\": 72, \"tile_m\": 5, \"tile_n\": 6, \"w\": 8, \"v\": 28, \"threads\": 192, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 8144.64, \"source\": \"autotuned\"}\n]" }, { "path": "src/acc/libsmm_acc/parameters/parameters_Mi50.json", "content": "[\n{\"m\": 4, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 17, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 69.425, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 17, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 479.296, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 17, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 872.797, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 24, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1203.91, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 27, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1128.92, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 11, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1457.43, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 17, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1474.66, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"w\": 8, \"v\": 24, \"threads\": 192, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 1590.39, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 4, \"w\": 10, \"v\": 28, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 1492.01, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 4, \"tile_n\": 4, \"w\": 10, \"v\": 30, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 1856.44, \"source\": \"autotuned\"}\n]" }, { "path": "src/acc/libsmm_acc/parameters/parameters_V100.json", "content": "[\n{\"m\": 4, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 246.008, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 295.995, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 346.775, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 392.944, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 405.137, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 385.195, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 404.271, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 438.293, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 471.731, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 479.602, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 469.625, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 468.707, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 472.517, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 473.832, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 469.584, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 4, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 38, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 440.299, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 308.153, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 364.843, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 421.298, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 386.405, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 406.801, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 422.926, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 462.967, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 22, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 492.481, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 490.113, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 486.609, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 481.038, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 489.975, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 496.239, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 5, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 38, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 468.896, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 368.735, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 435.89, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 407.925, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 462.645, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 479.855, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 485.334, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 6, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 13, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 20, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 22, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 23, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 25, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 26, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 28, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 31, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 32, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 6, \"k\": 45, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 428.942, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 412.602, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 475.905, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 516.037, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 525.403, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 9, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 581.761, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 22, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 23, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 549.47, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 548.753, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 555.309, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 563.644, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 7, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 529.874, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 433.171, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 477.871, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 551.799, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 569.968, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 566.549, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 560.233, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 8, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 13, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 22, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 23, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 25, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 26, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 28, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 32, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 8, \"k\": 45, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 413.149, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 492.074, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 541.308, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 581.319, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 561.045, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 583.137, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 621.518, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 18, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 586.676, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 580.338, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 578.701, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 579.831, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 589.888, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 597.201, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 9, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 39, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 9, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 571.751, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 461.137, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 642.821, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 14, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 22, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 623.118, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 10, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 37, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 10, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 11, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 20, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 38, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 12, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 580.161, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 622.204, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 681.111, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 671.288, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 658.006, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 645.508, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 637.149, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 629.5, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 637.134, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 642.176, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 647.889, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 13, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 13, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 628.519, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 14, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 31, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 36, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 14, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 643.765, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 674.671, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 14, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 22, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 664.565, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 15, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 34, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 15, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 18, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 39, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 16, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 18, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 44, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 17, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 18, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 31, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 36, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 19, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 20, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 18, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 36, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 21, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 721.241, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 698.948, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 675.48, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 683.974, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 15, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 694.29, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 691.473, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 693.046, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 22, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 43, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 22, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 7, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 704.138, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 693.297, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 688.521, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 696.548, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 697.693, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 693.63, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 23, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 23, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 24, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 689.717, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 679.56, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 673.897, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 673.553, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 692.688, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 699.011, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 702.163, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 27, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 703.031, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 714.509, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 25, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 37, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 44, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 256, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 709.255, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 713.203, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 682.143, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 7, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 682.312, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 679.23, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 12, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 697.924, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 17, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 706.743, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 697.513, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 700.508, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 711.801, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 713.949, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 30, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 722.448, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 26, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 34, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 43, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 384, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 26, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 714.8, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 27, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 36, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 27, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 713.43, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 691.419, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 688.417, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 696.35, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 11, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 693.509, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 18, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 705.866, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 718.173, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 720.648, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 730.663, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 28, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 28, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 721.599, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 29, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 29, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 15, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 17, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 34, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 43, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 224, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 30, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 8, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 37, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 384, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 44, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 31, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 713.191, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 697.466, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 716.759, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 715.929, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 12, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 718.173, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 731.936, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 734.347, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 733.854, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 30, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 747.315, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 32, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 34, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 288, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 41, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 750.234, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 33, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 15, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 20, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 29, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 33, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 34, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 21, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 44, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 35, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 36, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 35, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 44, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 37, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 16, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 38, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 39, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 40, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 15, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 36, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 41, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 18, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 42, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 43, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 13, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 34, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 41, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 224, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 44, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 8, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 661.936, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 32, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 669.852, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 679.091, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 689.661, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 711.079, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 736.487, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 742.618, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 745.832, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 760.801, \"source\": \"autotuned\"},\n{\"m\": 4, \"n\": 45, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 4, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 759.612, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 298.03, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 346.1, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 395.26, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 358.983, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 378.392, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 392.962, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 427.297, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 479.602, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 475.792, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 480.624, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 468.896, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 478.41, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 475.743, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 4, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 457.174, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 363.486, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 430.294, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 487.699, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 434.941, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 465.891, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 480.266, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 537.755, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 540.485, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 14, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 585.973, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 552.18, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 551.265, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 560.713, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 543.459, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 539.234, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 539.9, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 558.21, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 5, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 525.597, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 438.832, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 516.845, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 481.695, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 496.549, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 532.953, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 553.846, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 13, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 22, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 23, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 25, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 26, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 28, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 32, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 37, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 6, \"k\": 45, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 416.574, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 445.927, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 503.652, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 512.586, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 557.338, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 590.81, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 10, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 608.599, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 592.774, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 599.357, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 591.972, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 617.18, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 7, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 39, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 7, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 587.119, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 439.326, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 510.7, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 570.354, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 577.392, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 593.793, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 608.298, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 8, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 8, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 481.098, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 564.498, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 610.45, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 636.859, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 626.219, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 653.5, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 644.103, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 674.517, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 648.108, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 649.547, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 651.245, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 647.326, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 655.242, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 29, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 675.633, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 9, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 42, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 9, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 645.929, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 10, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 38, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 10, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 11, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 691.538, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 22, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 751.708, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 717.136, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 709.313, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 27, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 733.427, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 12, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 12, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 1, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 669.163, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 709.666, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 717.806, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 733.531, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 758.992, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 718.762, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 747.584, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 725.379, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 720.143, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 741.677, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 722.723, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 723.641, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 718.646, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 750.234, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 13, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 37, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 42, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 13, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 725.673, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 14, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 14, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 21, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 39, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 15, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 805.342, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 775.76, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 772.853, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 787.938, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 770.975, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 792.327, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 16, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 39, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 44, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 16, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 17, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 6, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 18, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 19, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 19, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 20, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 40, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 21, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 9, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 794.063, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 791.304, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 788.463, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 784.236, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 804.773, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 807.012, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 803.622, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 22, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 44, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 22, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 765.772, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 772.399, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 790.675, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 791.671, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 831.147, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 811.151, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 804.019, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 803.475, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 23, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 23, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 796.427, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 806.037, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 24, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 841.384, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 828.284, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 845.334, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 24, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 24, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 797.443, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 784.633, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 770.487, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 800.91, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 806.303, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 824.361, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 821.517, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 28, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 828.857, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 844.859, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 25, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 40, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 25, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 835.988, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 807.706, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 791.356, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 786.815, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 796.818, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 816.155, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 802.23, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 19, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 823.99, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 827.597, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 24, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 848.091, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 828.214, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 830.522, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 28, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 836.658, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 855.53, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 26, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 36, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 26, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 849.24, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 27, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 27, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 799.005, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 784.792, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 783.827, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 805.649, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 11, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 810.823, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 839.457, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 840.78, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 848.995, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 869.837, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 28, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 36, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 28, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 859.985, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 29, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 12, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 40, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 29, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 30, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 12, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 19, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 31, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 805.336, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 804.973, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 7, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 819.405, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 827.845, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 11, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 841.384, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 846.251, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 862.803, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 876.186, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 866.321, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 868.868, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 28, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 873.454, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 29, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 890.816, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 32, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 38, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 32, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 889.606, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 33, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 33, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 5, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 14, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 28, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 43, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 34, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 6, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 13, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 16, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 42, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 35, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 36, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 10, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 24, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 39, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 37, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 15, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 20, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 160, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 29, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 43, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 38, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 39, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 40, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 10, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 19, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 160, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 24, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 38, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 192, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 41, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 7, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 14, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 21, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 28, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 43, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 42, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 43, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 21, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 28, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 39, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 44, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 4, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 751.005, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 769.065, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 795.933, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 816.787, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 842.717, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 19, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 24, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 885.081, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 893.5, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 28, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 897.887, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 916.161, \"source\": \"autotuned\"},\n{\"m\": 5, \"n\": 45, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 5, \"n\": 45, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 919.182, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 369.751, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 437.31, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 408.922, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 459.907, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 477.56, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 482.086, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 4, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 5, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 13, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 21, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 22, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 23, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 25, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 26, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 28, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 32, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 34, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 43, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 4, \"k\": 45, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 454.274, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 543.411, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 509.28, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 530.719, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 567.27, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 586.779, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 5, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 13, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 22, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 23, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 25, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 26, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 28, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 32, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 5, \"k\": 45, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 13, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 436.777, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 13, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 514.148, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 519.349, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 551.619, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 599.955, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 6, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 6, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 13, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 510.693, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 546.154, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 578.921, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 620.416, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 679.445, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 703.892, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 7, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 31, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 37, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 44, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 7, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 537.011, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 622.638, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 652.165, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 697.9, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 731.135, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 729.606, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 8, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 8, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 586.525, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 677.531, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 696.243, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 760.106, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 755.906, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 768.741, \"source\": \"autotuned\"},\n{\"m\": 6, \"n\": 9, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 9, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 27, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 40, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 10, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 36, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 11, \"k\": 45, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 12, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 19, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 36, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 13, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 21, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 28, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 39, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 1, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 14, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 31, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 44, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 15, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 4, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 31, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 41, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 16, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 24, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 39, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 17, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 27, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 18, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 19, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 11, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 23, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 28, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 41, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 20, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 21, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 22, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 18, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 43, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 288, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 23, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 31, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 41, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 24, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 25, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 26, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 34, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 224, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 43, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 27, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 28, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 22, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 38, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 29, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 27, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 288, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 33, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 352, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 40, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 448, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 30, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 25, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 34, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 352, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 43, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 448, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 31, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 17, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 38, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 416, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 32, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 31, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 352, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 38, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 448, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 41, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 288, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 33, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 36, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 43, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 512, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 34, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 35, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 39, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 44, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 36, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 37, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 38, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 20, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 42, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 39, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 36, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 40, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 41, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 42, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 14, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 19, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 33, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 480, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 42, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 43, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 44, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 10, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 6, \"n\": 45, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 412.809, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 391.024, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 447.672, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 480.486, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 492.186, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 519.029, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 10, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 561.624, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 20, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 22, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 23, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 538.874, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 544.314, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 553.272, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 549.476, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 4, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 39, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 527.092, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 412.862, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 440.647, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 497.706, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 513.429, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 586.3, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 608.599, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 596.467, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 578.722, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 585.374, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 30, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 601.751, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 5, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 5, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 582.16, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 532.017, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 561.04, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 602.177, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 655.348, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 679.328, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 6, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 11, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 18, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 36, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 6, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 570.156, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 630.712, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 674.449, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 729.115, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 748.054, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 12, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 723.398, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 21, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 714.426, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 26, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 715.418, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 722.838, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 745.885, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 7, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 35, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 40, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 7, \"k\": 45, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 713.538, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 608.405, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 651.642, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 717.014, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 772.091, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 787.746, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 768.533, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 8, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 21, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 30, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 35, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 8, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 627.635, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 690.695, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 751.319, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 797.512, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 782.853, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 778.312, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 783.727, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 22, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 771.004, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 774.135, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 773.538, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 29, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 806.222, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 9, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 9, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 775.68, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 10, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 18, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 27, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 39, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 44, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 10, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 11, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 1, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 44, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 12, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 4, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 837.383, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 817.077, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 879.853, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 882.819, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 864.026, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 14, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 19, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 873.66, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 882.585, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 884.999, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 919.479, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 13, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 41, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 13, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 893.084, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 14, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 14, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 12, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 15, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 14, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 17, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 24, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 35, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 42, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 16, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 17, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 18, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 29, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 33, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 19, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 20, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 14, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 34, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 41, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 448, \"grouping\": 21, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 21, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 27, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 38, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 288, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 41, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 22, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 23, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 42, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 320, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 24, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 951.384, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 943.183, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 950.204, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 984.683, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1007.31, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 25, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1038.69, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 26, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1048.39, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1044.36, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1076.16, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 25, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 34, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 384, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 41, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 25, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1071.86, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 959.977, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 11, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 929.153, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 7, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 966.104, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 987.395, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1018.74, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 16, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1048.39, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1054.07, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1066.74, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 32, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1096.73, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 26, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 26, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1090.98, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 27, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 27, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 982.927, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 928.32, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 972.281, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1013.11, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1037.78, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1076.16, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1091.09, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1088.08, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 32, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1113.98, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 28, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 42, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 28, \"k\": 45, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1110.25, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 29, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 16, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 29, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 30, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 10, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 31, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 968.388, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 982.45, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1027.27, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1044.53, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1074.08, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1112.64, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1128.45, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 27, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1133.3, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 32, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1145.16, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 32, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 41, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 32, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1159.87, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 33, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 33, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 34, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 18, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 17, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 36, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 35, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 36, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 18, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 37, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 44, \"tile_m\": 6, \"tile_n\": 2, \"w\": 18, \"v\": 10, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 37, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 12, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 33, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 288, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 40, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 352, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 38, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 8, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 17, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 39, \"tile_m\": 6, \"tile_n\": 2, \"w\": 18, \"v\": 10, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 44, \"tile_m\": 6, \"tile_n\": 2, \"w\": 18, \"v\": 10, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 39, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 12, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 18, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 27, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 41, \"tile_m\": 6, \"tile_n\": 2, \"w\": 18, \"v\": 10, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 40, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 18, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 36, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 41, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 384, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 352, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 42, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 43, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 18, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 27, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 320, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 352, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 41, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 44, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 4, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 920.742, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 954.678, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 7, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1004.78, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 9, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1051.89, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1087.89, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1161.18, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1167.25, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 28, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1176.58, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 32, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1207.27, \"source\": \"autotuned\"},\n{\"m\": 7, \"n\": 45, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 7, \"n\": 45, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1213.99, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 431.726, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 477.505, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 546.389, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 565.522, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 566.549, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 4, \"k\": 9, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 11, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 13, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 14, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 15, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 16, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 17, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 18, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 19, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 20, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 21, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 22, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 23, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 24, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 25, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 26, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 27, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 28, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 29, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 30, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 31, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 32, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 33, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 34, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 35, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 36, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 37, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 38, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 39, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 40, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 41, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 42, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 43, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 44, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 4, \"k\": 45, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 520.996, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 584.015, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 596.162, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 5, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 24, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 37, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 5, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 8, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 535.147, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 623.198, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 692.73, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 730.266, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 725.755, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 6, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 43, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 6, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 674.466, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 737.422, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 809.675, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 807.945, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 7, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 14, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 34, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 43, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 7, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 751.703, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 948.152, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 873.252, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 8, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 21, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 8, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 13, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 703.856, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 10, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 842.134, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 855.471, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 14, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 845.869, \"source\": \"autotuned\"},\n{\"m\": 8, \"n\": 9, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 9, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 10, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 9, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 16, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 27, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 34, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 384, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 11, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 20, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 29, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 39, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 40, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 12, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 13, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 6, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 15, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 20, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 29, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 43, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 14, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 15, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 384, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 16, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 17, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 36, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 17, \"k\": 45, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 384, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 5, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 12, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 23, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 96, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 41, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 18, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 19, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 19, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 30, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 26, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 20, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 17, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 44, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 384, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 21, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 38, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 41, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 22, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 36, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 23, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 19, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 40, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 24, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 15, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 17, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 24, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 25, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 26, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 11, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 416, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 27, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 13, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 19, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 33, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 288, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 352, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 28, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 29, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 4, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 13, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 416, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 30, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 11, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 36, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 31, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 32, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 14, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 19, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 33, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 11, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 25, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 34, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 35, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 7, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 14, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 17, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 24, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 36, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 17, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 13, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 19, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 41, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 128, \"grouping\": 19, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 37, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 38, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 5, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 10, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 23, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 39, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 15, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 17, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 24, \"tile_m\": 4, \"tile_n\": 1, \"threads\": 320, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 35, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 480, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 40, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 41, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 11, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 16, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 42, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 13, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 20, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 31, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 480, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 33, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 480, \"grouping\": 18, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 43, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 44, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 8, \"n\": 45, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 375.31, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 439.162, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 483.505, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 518.811, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 13, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 531.703, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 578.535, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 19, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 577.272, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 574.223, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 567.038, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 575.2, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 579.048, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 585.549, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 4, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 37, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 42, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 4, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 458.869, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 532.058, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 32, \"grouping\": 10, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 561.861, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 607.333, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 631.071, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 650.478, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 681.007, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 656.849, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 655.614, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 656.774, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 640.209, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 678.178, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 5, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 645.929, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 542.835, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 619.213, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 13, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 646.841, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 696.311, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 8, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 710.748, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 6, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 31, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 36, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 6, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 605.959, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 657.579, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 768.916, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 9, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 772.147, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 775.811, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 21, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 769.283, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 778.217, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 799.404, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 7, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 7, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 667.45, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 734.394, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 802.799, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 8, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 818.438, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 8, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 19, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 22, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 8, \"k\": 45, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 721.956, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 798.279, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 6, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 851.583, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 882.204, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 897.133, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 894.306, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 891.564, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 904.749, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 885.963, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 915.109, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 879.336, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 884.267, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 881.057, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 25, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 889.476, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 889.636, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 28, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 899.71, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 9, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 9, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 887.859, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 898.622, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 952.679, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 10, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 10, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 11, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 29, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 11, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 7, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 959.51, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 12, \"k\": 10, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 962.088, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 12, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 19, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1028.89, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 12, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 37, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 44, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 12, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 932.634, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 931.325, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 954.731, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 984.455, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1020.2, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 21, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 992.026, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1008.27, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1007.6, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 13, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 40, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 13, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 14, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 12, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 21, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 41, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 15, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1049.8, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1049.44, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1071.58, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1100.21, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1087.28, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1100.47, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1092.09, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 16, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 16, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 10, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1007.55, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 19, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1095.06, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1071.59, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1078.61, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1082.66, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 17, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 38, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 17, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 25, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 44, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 18, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 19, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 39, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 44, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 20, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 39, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 21, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1032.38, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1102.68, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1125.11, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1165.93, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1143.83, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 22, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1163.2, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 23, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1163.88, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 25, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 26, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1186.82, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 22, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 22, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1039.39, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1043.06, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1101.62, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 13, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1146.44, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1186.48, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1153.25, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1190.96, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 23, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1177.76, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1194.34, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 23, \"k\": 27, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 23, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 10, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 36, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 24, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 25, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 1049.02, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1062.13, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1135.3, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 13, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1180.7, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1227.07, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 23, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1223.56, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1246.86, \"source\": \"autotuned\"},\n{\"m\": 9, \"n\": 26, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 26, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 20, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 27, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 41, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 27, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 10, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 17, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 12, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 28, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 29, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 30, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 14, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 28, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 43, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 31, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 32, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 8, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 17, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 33, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 4, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 19, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 13, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 18, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 34, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 35, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 4, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 19, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 13, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 384, \"grouping\": 14, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 384, \"grouping\": 14, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 36, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 37, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 12, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 18, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 27, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 39, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 40, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 38, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 15, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 18, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 39, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 5, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 12, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 288, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 40, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 8, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 17, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 41, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 42, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 18, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 36, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 43, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 43, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 4, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 15, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 320, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 43, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 44, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 8, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 17, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 320, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 39, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 224, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 44, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 9, \"n\": 45, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 19, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 4, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 5, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 6, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 8, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 36, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 41, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 8, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 11, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 18, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 29, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 36, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 9, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 977.584, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 22, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1027.72, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 10, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 42, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 10, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 11, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1050.75, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 12, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 12, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 18, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 37, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 13, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 14, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 33, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 40, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 14, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1071.76, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1088.77, \"source\": \"autotuned\"},\n{\"m\": 10, \"n\": 15, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 15, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 16, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 38, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 17, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 20, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 42, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 18, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 23, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 43, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 19, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 21, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 28, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 39, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 20, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 21, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 22, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 24, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 34, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 43, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 23, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 20, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 29, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 38, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 24, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 27, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 38, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 25, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 20, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 29, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 26, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 27, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 28, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 27, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 29, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 21, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 28, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 42, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 30, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 13, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 31, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 32, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 384, \"grouping\": 14, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 33, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 8, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 19, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 352, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 34, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 26, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 352, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 35, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 9, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 384, \"grouping\": 14, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 36, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 37, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 38, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 39, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 39, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 9, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 22, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 224, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 40, \"k\": 45, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 14, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 31, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 25, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 256, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 42, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 256, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 41, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 42, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 43, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 9, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 30, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 39, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 224, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 44, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 44, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 4, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 15, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 22, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 35, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 42, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 10, \"n\": 45, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 4, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 14, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 34, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 43, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 5, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 10, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 21, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 28, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 39, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 1, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 6, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 18, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 27, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 33, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 7, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 21, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 30, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 35, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 44, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 8, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 9, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 10, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 11, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1022.85, \"source\": \"autotuned\"},\n{\"m\": 11, \"n\": 11, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 13, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 27, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 38, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 11, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 15, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 20, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 29, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 35, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 12, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 12, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 23, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 30, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 34, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 41, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 13, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 8, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 26, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 21, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 39, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 14, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 15, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 12, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 23, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 30, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 16, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 15, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 22, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 29, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 43, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 17, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 13, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 19, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 38, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 18, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 19, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 20, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 18, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 21, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 30, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 44, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 21, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 12, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 19, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 41, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 22, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 21, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 39, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 44, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 23, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 288, \"grouping\": 30, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 33, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 24, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 25, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 26, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 11, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 18, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 29, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 36, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 27, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 13, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 31, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 33, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 42, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 28, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 14, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 28, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 43, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 29, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 30, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 31, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 32, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 9, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 27, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 384, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 38, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 7, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 34, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 34, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 31, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 36, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 35, \"k\": 45, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 256, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 18, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 36, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 37, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 17, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 14, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 28, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 39, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 11, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 16, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 38, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 40, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 41, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 42, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 20, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 224, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 31, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 34, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 43, \"k\": 45, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 11, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 37, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 44, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 9, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 27, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 37, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 224, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 44, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 11, \"n\": 45, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 14, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 42, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 4, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 5, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 19, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 24, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 6, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 21, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 39, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 7, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 31, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 35, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 42, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 8, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 5, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 28, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 43, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 9, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 10, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 20, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 29, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 38, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 11, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 12, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1148.64, \"source\": \"autotuned\"},\n{\"m\": 12, \"n\": 12, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 12, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 7, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 15, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 29, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 34, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 13, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 17, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 39, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 14, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 15, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 22, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 31, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 36, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 16, \"k\": 45, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 17, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 36, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 18, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 15, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 18, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 29, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 33, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 40, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 19, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 23, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 30, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 44, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 20, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 22, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 29, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 21, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 22, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 12, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 18, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 40, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 23, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 15, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 22, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 29, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 24, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 21, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 30, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 41, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 25, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 26, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 13, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 27, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 28, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 13, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 41, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 29, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 19, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 17, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 26, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 37, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 44, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 30, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 31, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 32, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 10, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 288, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 33, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 20, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 42, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 34, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 35, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 39, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 36, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 37, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 38, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 16, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 288, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 40, \"k\": 45, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 41, \"k\": 45, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 42, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 16, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 42, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 43, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 44, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 12, \"n\": 45, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 538.053, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 9, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 580.215, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 646.473, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 636.567, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 20, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 632.137, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 625.163, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 632.236, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 4, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 38, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 1, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 4, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 601.518, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 10, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 657.575, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 4, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 712.892, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 702.088, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 738.124, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 719.495, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 713.614, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 712.358, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 5, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 5, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 6, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 15, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 36, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 43, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 7, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 8, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 877.374, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 879.219, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 9, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 970.648, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 972.888, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 16, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 224, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1001.38, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 22, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 978.269, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 981.528, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 990.302, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 9, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 9, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 19, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 42, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 10, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 19, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 17, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 43, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 11, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 12, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 4, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1111.68, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 5, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1109.06, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 9, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1135.75, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1164.52, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1230.31, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 17, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1199.08, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1215.28, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1223.86, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 25, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1220.15, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 13, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 36, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 13, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 19, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 33, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 14, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 15, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1169.67, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 17, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 1217.94, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1261.88, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1316.52, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1333.01, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 16, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 43, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 16, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1240.09, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1269.37, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 18, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 23, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1303.07, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 17, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 27, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 37, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 17, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 18, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 37, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 19, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 15, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 43, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 20, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 21, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 4, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 96, \"grouping\": 13, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1203.83, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1187.22, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1308.67, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1346.22, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 22, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1453.46, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 23, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1457.16, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 26, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1480.46, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 22, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 22, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1197.81, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1214.22, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1310.86, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1362.06, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1447.81, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 17, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1430.26, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1470.51, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 23, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1478.54, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1500.66, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 23, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 31, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 38, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 23, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 12, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 41, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 24, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 25, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 4, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1215.84, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1225.27, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1382.06, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1417.56, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 17, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 22, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1536.42, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 23, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1536.74, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1558.37, \"source\": \"autotuned\"},\n{\"m\": 13, \"n\": 26, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 29, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 39, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 40, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 26, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 30, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 37, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 44, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 27, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 28, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 27, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 29, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 12, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 30, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 30, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 31, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 36, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 32, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 12, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 43, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 33, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 16, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 31, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 34, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 35, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 19, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 26, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 44, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 36, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 15, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 43, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 37, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 38, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 39, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 19, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 320, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 36, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 40, \"k\": 45, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 41, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 31, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 44, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 42, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 39, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 43, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 44, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 18, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 15, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 18, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 29, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 43, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 13, \"n\": 45, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 4, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 5, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 22, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 20, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 34, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 41, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 6, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 5, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 14, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 23, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 24, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 7, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 12, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 10, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 28, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 33, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 8, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 27, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 38, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 9, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 27, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 21, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 28, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 10, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 11, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 10, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 29, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 33, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 12, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 27, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 13, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1285.95, \"source\": \"autotuned\"},\n{\"m\": 14, \"n\": 14, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 14, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 15, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 18, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 12, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 19, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 33, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 40, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 16, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 17, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 18, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 31, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 44, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 19, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 20, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 18, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 27, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 39, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 44, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 21, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 15, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 22, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 29, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 22, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 8, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 30, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 35, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 23, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 12, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 21, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 35, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 40, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 24, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 18, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 36, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 25, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 5, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 23, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 30, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 32, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 26, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 27, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 4, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 12, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 13, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 26, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 35, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 40, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 28, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 39, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 29, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 30, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 8, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 23, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 30, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 31, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 17, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 24, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 35, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 42, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 32, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 33, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 34, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 20, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 39, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 35, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 36, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 25, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 15, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 35, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 37, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 16, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 31, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 38, \"tile_m\": 9, \"tile_n\": 1, \"w\": 16, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB1\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 38, \"k\": 45, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 11, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 39, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 40, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 14, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 21, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 160, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 28, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 160, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 42, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 41, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 9, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 16, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 39, \"tile_m\": 3, \"tile_n\": 2, \"w\": 18, \"v\": 4, \"threads\": 128, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 42, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 43, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 14, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 19, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 288, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 42, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 44, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 6, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 20, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 320, \"grouping\": 11, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 42, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 14, \"n\": 45, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 5, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 10, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 17, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 26, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 35, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 41, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 4, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 5, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 6, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 39, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 7, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 13, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 8, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 9, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 10, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 19, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 40, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 10, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 21, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 11, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 12, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 15, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 22, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 64, \"grouping\": 25, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 29, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 13, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 13, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 19, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 33, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 14, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 15, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1348.44, \"source\": \"autotuned\"},\n{\"m\": 15, \"n\": 15, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 20, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 29, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 15, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 14, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 15, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 20, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 43, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 16, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 30, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 33, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 40, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 17, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 7, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 21, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 38, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 18, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 19, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 21, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 30, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 43, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 20, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 21, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 22, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 13, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 16, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 27, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 41, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 23, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 15, \"tile_m\": 8, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 22, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 24, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 25, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 38, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 26, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 19, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 18, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 27, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 32, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 41, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 27, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 28, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 6, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 13, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 31, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 33, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 128, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 40, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 29, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 10, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 29, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 39, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 30, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 4, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 20, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 13, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 18, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 27, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 41, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 31, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 10, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 19, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 32, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 10, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 17, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 24, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 39, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 33, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 14, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 43, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 34, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 35, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 10, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 160, \"grouping\": 29, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 19, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 38, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 36, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 37, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 38, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 14, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 43, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 39, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 40, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 39, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 40, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 41, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 9, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 64, \"grouping\": 25, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 30, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 42, \"k\": 45, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 15, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 25, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 34, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 96, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 43, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 43, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 44, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 10, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 15, \"n\": 45, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 7, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 5, \"minblocks\": 22, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 10, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 12, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 13, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 14, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 15, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 16, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 18, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 19, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 20, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 21, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 22, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 23, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 24, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 25, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 27, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 28, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 29, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 30, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 31, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 32, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 33, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 34, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 36, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 37, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 38, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 39, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 40, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 41, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 42, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 43, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 44, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 4, \"k\": 45, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 32, \"grouping\": 8, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 796.959, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 4, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 780.707, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 767.06, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 789.126, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 781.229, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 5, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 5, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 38, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 6, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 23, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 1, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 40, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 7, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 8, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 1052.33, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1060.21, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1071.99, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1104.43, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1089.7, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1097.3, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1089.58, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 9, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 9, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 10, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 10, \"minblocks\": 23, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 11, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 12, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 10, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 12, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1184.66, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1239.17, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1283.89, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 16, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1315.31, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 19, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 2, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1319.04, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 13, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 41, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 13, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 14, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 15, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 8, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 1305.79, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 3, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1397.65, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 13, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1449.51, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1523.53, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1482.75, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1529.11, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1515.27, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 16, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 44, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 16, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1368.03, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 16, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1493.26, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1443.65, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 22, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1498.59, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 23, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1490.94, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 17, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 17, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 18, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 64, \"grouping\": 6, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 29, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 19, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 20, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 21, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1476.24, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 16, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1642.34, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 17, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1601.36, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 22, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1678.29, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 23, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 32, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1667.16, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 22, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 22, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1387.02, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1493.7, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1582.33, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 14, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 16, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1664.11, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1618.44, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 22, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 32, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1695.08, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 23, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1687.93, \"source\": \"autotuned\"},\n{\"m\": 16, \"n\": 23, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 42, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 23, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 12, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 40, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 24, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 25, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 37, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 128, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 44, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 26, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 19, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 15, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 29, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 42, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 27, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 28, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 20, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 38, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 29, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 6, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 9, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 30, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 31, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 10, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 21, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 32, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 8, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 31, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 38, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 33, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 13, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 34, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 6, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 16, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 27, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 35, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 20, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 39, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 40, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 36, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 37, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 15, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 20, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 38, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 9, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 16, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 27, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 39, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 19, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 40, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 41, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 14, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 21, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 64, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 43, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 42, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 9, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 18, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 27, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 160, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 37, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 43, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 44, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 10, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 24, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 37, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 16, \"n\": 45, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 10, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 15, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 32, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 43, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 4, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 8, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 5, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 39, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 44, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 5, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 6, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 18, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 1, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 7, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 43, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 8, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1017.05, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1093.49, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1070.7, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1087.55, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1093.2, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 9, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 36, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 9, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 10, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 11, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 12, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1246.95, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 17, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 1287.34, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 23, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1325.03, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 13, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 30, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 44, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 13, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 12, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 18, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 27, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 39, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 40, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 14, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 15, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 7, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 9, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 1370.02, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 14, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 16, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1466.93, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 17, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1452.87, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 21, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 22, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1490.38, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 23, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1493.66, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 16, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 28, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 32, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 16, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 13, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1368.12, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1446.94, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1524.54, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1499.4, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1536.35, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1539.49, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 17, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 17, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 20, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 27, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 18, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 9, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 160, \"grouping\": 29, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 16, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 19, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 20, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 20, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 19, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 24, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 21, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1429.34, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 16, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1638.17, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 17, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1606.06, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1673.45, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1680.38, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 22, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 22, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1457.2, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 11, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1557.3, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 16, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1659.79, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1632.08, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1699.3, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1707.42, \"source\": \"autotuned\"},\n{\"m\": 17, \"n\": 23, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 25, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 23, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 14, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 23, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 28, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 24, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 24, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 25, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 224, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 26, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 19, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 41, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 27, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 28, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 14, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 24, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 34, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 29, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 11, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 28, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 30, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 31, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 8, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 19, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 26, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 32, \"k\": 45, \"tile_m\": 9, \"tile_n\": 2, \"w\": 4, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB1\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 33, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 23, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 30, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 37, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 44, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 192, \"grouping\": 8, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 34, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 11, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 22, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 32, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 35, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 19, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 44, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 224, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 36, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 21, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 37, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 38, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 21, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 30, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 32, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 39, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 8, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 36, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 40, \"k\": 45, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 4, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 15, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 18, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 33, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 40, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 41, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 42, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 20, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 34, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 64, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 43, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 43, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 44, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 27, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 18, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 33, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 40, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 17, \"n\": 45, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 4, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 10, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 15, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 42, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 5, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 19, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 9, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 6, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 17, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 1, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 7, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 9, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 10, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 11, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 44, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 12, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 13, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 14, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 15, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 15, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 16, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 17, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 18, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1597.87, \"source\": \"autotuned\"},\n{\"m\": 18, \"n\": 18, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 18, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 19, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 20, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 9, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 21, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 10, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 17, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 24, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 22, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 23, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 7, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 15, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 24, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 25, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 26, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 10, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 27, \"k\": 45, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 26, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 14, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 35, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 28, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 9, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 22, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 36, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 29, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 160, \"grouping\": 25, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 33, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 42, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 30, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 31, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 4, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 13, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 32, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 11, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 25, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 18, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 33, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 13, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 34, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 35, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 36, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 37, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 44, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 37, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 12, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 33, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 40, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 38, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 288, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 36, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 43, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 39, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 38, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 41, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 40, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 41, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 42, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 8, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 30, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 44, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 43, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 19, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 26, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 44, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 11, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 39, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 44, \"tile_m\": 9, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 18, \"n\": 45, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 30, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 41, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 4, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 5, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 6, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 8, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 2, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 5, \"minblocks\": 27, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 8, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 44, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 9, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 7, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 33, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 40, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 10, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 11, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 12, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 13, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 4, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 15, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 18, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 40, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 14, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 15, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 7, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 20, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 16, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 17, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 18, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 192, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 19, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1648.65, \"source\": \"autotuned\"},\n{\"m\": 19, \"n\": 19, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 19, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 34, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 43, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 20, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 6, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 23, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 16, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 21, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 22, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 10, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 23, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 13, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 24, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 14, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 25, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 26, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 27, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 28, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 25, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 29, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 13, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 20, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 30, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 10, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 19, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 38, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 31, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 8, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 26, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 44, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 192, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 32, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 33, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 34, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 35, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 160, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 8, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 25, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 36, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 26, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 37, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 38, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 39, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 35, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 192, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 42, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 40, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 41, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 11, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 25, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 42, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 43, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 44, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 26, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 41, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 19, \"n\": 45, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 4, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 5, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 6, \"k\": 45, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 1, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 7, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 37, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 8, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 9, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 9, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 10, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1224.09, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1236.34, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1297.58, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1299.21, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1369.72, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 11, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 43, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 11, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1264.76, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1309.5, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1376.58, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 25, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1369.04, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 31, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1446.23, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 12, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 12, \"k\": 45, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 10, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 13, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 14, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 15, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 17, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 16, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 17, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 18, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 19, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 11, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1630.94, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1792.94, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1820.96, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1926.77, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 20, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 20, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 33, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 42, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 21, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 22, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 23, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 8, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 44, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 24, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 11, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1702.26, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 12, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1747.44, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 20, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1894.53, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1928.03, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2044.24, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 25, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 25, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 11, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 25, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 44, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 26, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 41, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 27, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 43, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 28, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 12, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 19, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 29, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 30, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 13, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 20, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 38, \"tile_m\": 2, \"tile_n\": 6, \"w\": 12, \"v\": 26, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 41, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 31, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1962.47, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 32, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 20, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2132.1, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 32, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 25, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2171.45, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 32, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 27, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 32, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2308.41, \"source\": \"autotuned\"},\n{\"m\": 20, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 40, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 32, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 43, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 33, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 34, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 35, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 36, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 160, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 25, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 64, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 34, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 96, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 43, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 37, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 13, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 41, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 38, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 39, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 14, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 33, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 42, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 40, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 41, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 23, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 32, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 41, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 42, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 10, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 17, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 24, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 38, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 43, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 13, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 27, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 33, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 192, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 40, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 44, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 7, \"tile_m\": 10, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 14, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 16, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 34, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 192, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 41, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 20, \"n\": 45, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 4, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 5, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 6, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 7, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 8, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 42, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 10, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 9, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 10, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 11, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 14, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 12, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 13, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 9, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 39, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 14, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 39, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 15, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 16, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 17, \"k\": 45, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 12, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 18, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 18, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 19, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 20, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 8, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 21, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1831.9, \"source\": \"autotuned\"},\n{\"m\": 21, \"n\": 21, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 21, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 4, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 32, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 22, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 23, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 4, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 33, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 24, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 25, \"k\": 45, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 26, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 18, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 27, \"k\": 45, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 29, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 12, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 28, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 29, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 11, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 18, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 30, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 18, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 44, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 31, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 32, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 33, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 14, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 33, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 34, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 13, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 41, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 35, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 36, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 10, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 256, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 21, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 38, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 37, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 27, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 24, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 42, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 38, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 39, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 13, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 41, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 40, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 10, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 33, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 192, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 41, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 42, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 6, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 29, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 34, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 43, \"tile_m\": 11, \"tile_n\": 3, \"w\": 10, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 43, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 16, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 38, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 41, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 44, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 21, \"n\": 45, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 711.621, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 32, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 688.022, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 675.403, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 683.239, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 693.792, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 681.694, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 689.746, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 4, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 34, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 4, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 9, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 784.759, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 787.494, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 784.145, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 781.451, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 807.134, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 803.426, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 801.203, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 5, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 40, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 6, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 7, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 8, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 8, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 13, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1024.46, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 15, \"minblocks\": 18, \"algorithm\": \"medium\", \"perf\": 1018.92, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1090.92, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1141.06, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1169.51, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1142.02, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1178.83, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1170.96, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1190.75, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1243.07, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 9, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 9, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 10, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 11, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 15, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 15, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 32, \"grouping\": 2, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 22, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 32, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 43, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 12, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1203.83, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1199.03, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1316.36, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1361.0, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1459.53, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1465.16, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1486.77, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 13, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 13, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 14, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 19, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 15, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1448.79, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 16, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1651.97, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1592.98, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1671.89, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1664.08, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 16, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 16, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 18, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1456.55, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 15, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1635.33, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1595.45, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1675.6, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1681.7, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 17, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 17, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 8, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 192, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 18, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 19, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 22, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 20, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 14, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 32, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 43, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 21, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 4, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1421.19, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 5, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1463.93, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 9, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1663.75, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 10, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1800.33, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1916.32, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1870.44, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1960.01, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1955.08, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1990.71, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2080.88, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 22, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 37, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 22, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1421.46, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 6, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1484.33, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1662.16, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1770.26, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1877.7, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1852.86, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1926.55, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1934.26, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1969.68, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 23, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 23, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 23, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 24, \"k\": 45, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 160, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 25, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1462.44, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 5, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1534.81, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1747.8, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 13, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1869.4, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2021.4, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2024.94, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2073.98, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 26, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 26, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 12, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 27, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 28, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 30, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 29, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 8, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 192, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 30, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 17, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 26, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 39, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 40, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 31, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1904.44, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2244.91, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2417.23, \"source\": \"autotuned\"},\n{\"m\": 22, \"n\": 32, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 32, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 13, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 33, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 25, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 33, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 15, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 42, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 34, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 23, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 35, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 11, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 224, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 36, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 12, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 19, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 26, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 27, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 40, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 37, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 7, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 160, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 8, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 224, \"grouping\": 11, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 21, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 8, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 38, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 39, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 11, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 18, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 39, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 40, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 41, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 42, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 32, \"tile_m\": 11, \"tile_n\": 4, \"w\": 10, \"v\": 12, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 43, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 44, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 5, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 128, \"grouping\": 27, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 10, \"tile_m\": 11, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 22, \"n\": 45, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 8, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 697.748, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 4, \"minblocks\": 27, \"algorithm\": \"medium\", \"perf\": 692.1, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 675.284, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 685.798, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 18, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 689.119, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 685.403, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 692.026, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 4, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 44, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 96, \"grouping\": 1, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 4, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 10, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 765.819, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 770.232, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 794.315, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 779.905, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 818.943, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 18, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 22, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 803.171, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 799.948, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 800.518, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 5, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 5, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 8, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 30, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 7, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 18, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 27, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 36, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 32, \"grouping\": 29, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 8, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 12, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1023.81, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 5, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1023.47, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1100.22, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1131.5, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1178.32, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 17, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1150.36, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1179.45, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 23, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1176.02, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1195.58, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 9, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 9, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 37, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 32, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 10, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 12, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 23, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 30, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 32, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 33, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 32, \"grouping\": 25, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 40, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 32, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 11, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 25, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 27, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 1, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 12, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 4, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 14, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1177.19, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 5, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1175.8, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1317.59, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1370.54, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1458.25, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 17, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1421.47, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1476.23, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1468.44, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1500.18, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 13, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 13, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 14, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 4, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 15, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 15, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 33, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 40, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 15, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 5, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 5, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1345.94, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1472.9, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 13, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1560.32, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 16, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 32, \"grouping\": 2, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1649.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 17, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1621.65, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1694.73, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1691.64, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 16, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 16, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1469.57, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1559.69, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1653.36, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1624.37, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1698.96, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 23, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1701.82, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 17, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 28, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 38, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 17, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 6, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 24, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 35, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 42, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 18, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 14, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 42, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 19, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 20, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 9, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 20, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 27, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 39, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 21, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 6, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1410.89, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 5, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1455.1, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1654.71, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 13, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1752.81, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 14, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 25, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1880.75, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 17, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1844.78, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1925.66, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 23, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1921.8, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1986.83, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 22, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 35, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 42, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 22, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 6, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1404.74, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 5, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1489.35, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1725.75, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 13, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1867.64, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 16, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1969.45, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 17, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1941.68, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 22, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2026.63, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2028.24, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2065.19, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 23, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 23, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 11, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 16, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 38, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 24, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 27, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 38, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 96, \"grouping\": 25, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 25, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 4, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 6, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1471.74, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 5, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1522.69, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 9, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1743.61, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 13, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1884.43, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 17, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2067.9, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 23, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2073.49, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2115.65, \"source\": \"autotuned\"},\n{\"m\": 23, \"n\": 26, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 35, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 40, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 25, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 26, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 35, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 25, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 42, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 160, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 27, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 11, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 16, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 25, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 39, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 28, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 29, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 30, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 20, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 31, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 7, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 35, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 42, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 31, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 32, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 9, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 25, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 31, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 33, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 4, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 160, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 15, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 18, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 29, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 43, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 34, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 8, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 27, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 26, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 39, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 44, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 35, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 22, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 29, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 96, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 36, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 23, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 30, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 36, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 43, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 37, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 5, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 12, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 18, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 32, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 43, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 38, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 38, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 192, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 39, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 12, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 21, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 30, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 39, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 40, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 40, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 15, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 22, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 96, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 29, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 43, \"tile_m\": 4, \"tile_n\": 9, \"w\": 12, \"v\": 40, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 41, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 13, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 18, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 42, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 43, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 13, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 22, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 128, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 31, \"tile_m\": 4, \"tile_n\": 9, \"w\": 12, \"v\": 10, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 40, \"tile_m\": 4, \"tile_n\": 9, \"w\": 12, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 44, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 23, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 10, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 12, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 13, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 14, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 15, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 16, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 17, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 18, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 19, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 20, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 21, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 22, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 23, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 24, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 25, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 26, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 27, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 28, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 29, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 30, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 31, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 32, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 33, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 34, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 35, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 36, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 37, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 38, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 39, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 40, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 41, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 42, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 43, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 44, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 4, \"k\": 45, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 796.427, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 807.706, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 835.528, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 823.042, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 841.384, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 5, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 5, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 6, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 7, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 16, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 26, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 9, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 9, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 10, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 11, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 12, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1250.39, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1424.6, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 24, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1553.58, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 32, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1549.36, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1611.52, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 13, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 44, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 13, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 14, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 6, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 96, \"grouping\": 17, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 15, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 11, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 16, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 32, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 25, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 38, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 16, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 17, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 36, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 18, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 12, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 34, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 43, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 6, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 19, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 20, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 12, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 39, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 21, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 30, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 44, \"tile_m\": 4, \"tile_n\": 7, \"w\": 18, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 22, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 23, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1593.42, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1983.67, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 24, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2213.95, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2211.71, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2310.88, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 24, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 43, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 24, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 25, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 5, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1612.07, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1965.73, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2194.44, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2182.89, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2311.83, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 26, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 26, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 12, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 43, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 27, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 44, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 192, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 28, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 39, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 29, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 30, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 10, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 39, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 44, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 192, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 30, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 4, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 15, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 43, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 31, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1756.65, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 13, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2142.55, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 24, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2451.83, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2431.93, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2560.8, \"source\": \"autotuned\"},\n{\"m\": 24, \"n\": 32, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 35, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 64, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 44, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 32, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 33, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 13, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 31, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 38, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 34, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 10, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 35, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 36, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 15, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 25, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 96, \"grouping\": 10, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 35, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 37, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 39, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 192, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 38, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 39, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 40, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 14, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 35, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 192, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 42, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 41, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 17, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 42, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 28, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 34, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 43, \"tile_m\": 12, \"tile_n\": 1, \"threads\": 96, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 31, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 192, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 35, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 42, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 24, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 9, \"minblocks\": 20, \"algorithm\": \"medium\", \"perf\": 688.492, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 4, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 677.205, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 692.721, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 684.905, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 692.688, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 691.588, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 694.661, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 696.043, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 711.123, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 4, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 704.519, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 9, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 784.633, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 9, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 770.704, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 779.902, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 794.332, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 797.264, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 822.625, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 808.442, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 814.46, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 844.859, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 5, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 35, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 832.032, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 6, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 19, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 36, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 9, \"minblocks\": 21, \"algorithm\": \"medium\", \"perf\": 951.384, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 11, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 920.51, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 947.852, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 970.814, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 996.022, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 25, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1030.87, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 26, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1040.72, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 28, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1041.99, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1078.37, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 7, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 7, \"k\": 45, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1067.21, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 8, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 6, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 8, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 13, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1018.77, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 10, \"minblocks\": 19, \"algorithm\": \"medium\", \"perf\": 1031.57, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1090.63, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1110.54, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1161.08, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1218.26, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1219.13, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1243.81, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1281.24, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 9, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1264.33, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 10, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 8, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 6, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 44, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 10, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 10, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1260.81, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 12, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1273.55, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 20, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1350.23, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 25, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1377.63, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 32, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1452.92, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 11, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 11, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 11, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1311.32, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1355.85, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 12, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1439.07, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 12, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 44, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 12, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 13, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1172.24, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1201.28, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1288.33, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1349.59, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1380.55, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1408.24, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1523.91, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1512.28, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 28, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1543.2, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 32, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1604.12, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 13, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 42, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 13, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1600.38, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1451.35, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1482.32, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 19, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1595.12, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1680.53, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 14, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 14, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 38, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 15, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 15, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 16, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 42, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 16, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 30, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 37, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 128, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 44, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 17, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 18, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 39, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 19, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1691.1, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1720.72, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 20, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1886.91, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 25, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1909.19, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2038.68, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 20, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 20, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 20, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 21, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 17, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 17, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 38, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 22, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 23, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 7, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 25, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 25, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 35, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 24, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1485.73, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 5, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1575.59, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1702.42, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 9, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1812.74, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 11, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1890.71, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 12, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1953.74, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1968.88, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2006.28, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 20, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2131.35, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2191.41, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2199.01, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 28, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2205.83, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2298.51, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 25, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 25, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2299.51, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1505.1, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1562.99, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1727.51, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 9, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1769.71, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 10, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1923.39, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1957.32, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 17, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 24, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2161.58, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2159.22, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 28, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2202.3, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2305.68, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 26, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 39, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 25, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 26, \"k\": 45, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2334.51, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 27, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 37, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 44, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 27, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1549.16, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 5, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1616.88, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1760.61, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1846.28, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2007.98, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2238.93, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 28, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2303.35, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 32, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2395.28, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 28, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 35, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 42, \"tile_m\": 3, \"tile_n\": 4, \"w\": 14, \"v\": 22, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 28, \"k\": 45, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2401.66, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 29, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 22, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 31, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 26, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 36, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 29, \"k\": 45, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 30, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 10, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 19, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 36, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 31, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 192, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1604.78, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1712.86, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 7, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1882.31, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 9, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1923.68, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 11, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2058.0, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 12, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2113.34, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 13, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2129.49, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 14, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2179.1, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 20, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2319.12, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 25, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2380.19, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 26, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2405.19, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 27, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 28, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2445.47, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2543.17, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 32, \"k\": 33, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 13, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 32, \"k\": 45, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2534.58, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 33, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 10, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 21, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 28, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 39, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 33, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 34, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 9, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 25, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 27, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 36, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 30, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 35, \"k\": 45, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 256, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 36, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 36, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 37, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 24, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 34, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 43, \"tile_m\": 5, \"tile_n\": 7, \"w\": 12, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 38, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 39, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 40, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 39, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 44, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 288, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 31, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 12, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 34, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 192, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 192, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 27, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1681.3, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1844.44, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2028.88, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2114.73, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2282.07, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 25, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2621.81, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2612.42, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 28, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2678.19, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 32, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2804.03, \"source\": \"autotuned\"},\n{\"m\": 25, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 25, \"n\": 45, \"k\": 45, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2769.88, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 9, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 699.77, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 688.995, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 677.491, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 693.116, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 703.614, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 694.92, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 708.26, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 4, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 32, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 43, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 9, \"minblocks\": 22, \"algorithm\": \"medium\", \"perf\": 804.323, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 5, \"minblocks\": 26, \"algorithm\": \"medium\", \"perf\": 784.372, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 23, \"algorithm\": \"medium\", \"perf\": 802.5, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 801.035, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 819.975, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 821.742, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 826.193, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 5, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 30, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 5, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 34, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 7, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 6, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 7, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 43, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 8, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 13, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1043.71, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 4, \"minblocks\": 24, \"algorithm\": \"medium\", \"perf\": 1052.58, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1138.73, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1184.14, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1229.9, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1228.59, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1249.07, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 9, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 36, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 9, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 12, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 39, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 10, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 11, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 12, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 13, \"minblocks\": 17, \"algorithm\": \"medium\", \"perf\": 1216.94, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 5, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1229.6, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1378.77, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1417.71, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1533.15, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 23, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1533.11, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 26, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1554.51, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 13, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 13, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 14, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 18, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 43, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 15, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 21, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 34, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 288, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 16, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 17, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 18, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 37, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 19, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 20, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 14, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 64, \"grouping\": 2, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 37, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 21, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 6, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1499.81, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 5, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1535.64, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1734.07, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1854.64, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 18, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 22, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2013.32, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 23, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2014.1, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 26, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2055.64, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 22, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 22, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1491.55, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1542.12, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1784.05, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1883.67, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 22, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2063.9, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2052.66, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 26, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2108.1, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 23, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 23, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 14, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 23, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 24, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 17, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 34, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1540.78, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1601.64, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1892.58, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 11, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2050.56, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2248.36, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 23, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2245.79, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2288.66, \"source\": \"autotuned\"},\n{\"m\": 26, \"n\": 26, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 37, \"tile_m\": 3, \"tile_n\": 4, \"w\": 12, \"v\": 26, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 26, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 27, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 28, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 224, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 17, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 34, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 29, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 9, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 26, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 25, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 9, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 38, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 28, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 37, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 32, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 33, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 34, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 17, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 33, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 192, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 42, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 192, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 35, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 36, \"tile_m\": 3, \"tile_n\": 6, \"w\": 12, \"v\": 20, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 36, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 13, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 41, \"tile_m\": 7, \"tile_n\": 5, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 37, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 288, \"grouping\": 11, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 37, \"tile_m\": 7, \"tile_n\": 5, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 38, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 39, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 224, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 192, \"grouping\": 7, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 224, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 18, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 27, \"tile_m\": 7, \"tile_n\": 6, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 26, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 35, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 8, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 32, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 5, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 39, \"tile_m\": 6, \"tile_n\": 1, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 6, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 35, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 7, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 8, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 2, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 9, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 6, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 16, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 64, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 38, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 10, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 64, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 1, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 1, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 11, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 7, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 6, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 17, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 7, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 12, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 13, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 14, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 13, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 33, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 40, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 15, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 7, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 31, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 224, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 37, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 44, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 16, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 7, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 2, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 39, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 17, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 16, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 18, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 19, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 20, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 21, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 6, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 16, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 37, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 44, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 22, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 15, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 29, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 42, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 25, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 23, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 24, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 14, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 28, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 25, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 18, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 27, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 36, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 26, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 2, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 21, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 27, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2376.96, \"source\": \"autotuned\"},\n{\"m\": 27, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 35, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 42, \"tile_m\": 3, \"tile_n\": 4, \"w\": 16, \"v\": 24, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 27, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 10, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 64, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 36, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 29, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 30, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 15, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 35, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 31, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 6, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 1, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 17, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 32, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 17, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 33, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 160, \"grouping\": 7, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 34, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 37, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 24, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 42, \"tile_m\": 5, \"tile_n\": 7, \"w\": 12, \"v\": 34, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 35, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 28, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 32, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 36, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 6, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 36, \"tile_m\": 3, \"tile_n\": 6, \"w\": 12, \"v\": 20, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 37, \"k\": 45, \"tile_m\": 7, \"tile_n\": 5, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 7, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 15, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 18, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 33, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 96, \"grouping\": 11, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 40, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 96, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 11, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 29, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 256, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 6, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 18, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 224, \"grouping\": 10, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 19, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 26, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 160, \"grouping\": 1, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 37, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 224, \"grouping\": 1, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 21, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 32, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 13, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 27, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 673.287, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 32, \"grouping\": 3, \"minblocks\": 26, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 692.231, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 27, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 713.815, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 4, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 33, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 160, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 40, \"tile_m\": 2, \"tile_n\": 1, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 14, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 830.956, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 5, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 5, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 6, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 17, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 7, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 8, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 34, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 9, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 38, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 10, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 11, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 17, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 12, \"k\": 45, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 13, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 13, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 14, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 10, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 33, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 15, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 12, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 32, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 21, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 30, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 39, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 40, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 16, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 17, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 34, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 43, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 18, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 36, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 19, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 26, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 20, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 36, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 21, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 22, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 37, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 23, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 24, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 22, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 25, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 18, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 26, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 27, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 15, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2506.43, \"source\": \"autotuned\"},\n{\"m\": 28, \"n\": 28, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 28, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 29, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 43, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 30, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 26, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 31, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 10, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 64, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 32, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 33, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 34, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 32, \"tile_m\": 10, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 43, \"tile_m\": 5, \"tile_n\": 7, \"w\": 12, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 35, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 320, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 38, \"tile_m\": 6, \"tile_n\": 6, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 36, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 160, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 43, \"tile_m\": 7, \"tile_n\": 5, \"w\": 10, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 43, \"tile_m\": 7, \"tile_n\": 5, \"w\": 12, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 20, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 29, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 27, \"tile_m\": 7, \"tile_n\": 6, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 21, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 28, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 16, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 27, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 5, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 6, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 64, \"grouping\": 4, \"minblocks\": 18, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 33, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 40, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 6, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 41, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 7, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 8, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 10, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 39, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 9, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 5, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 64, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 14, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 33, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 10, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 11, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 32, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 41, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 12, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 10, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 13, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 14, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 1545.05, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 16, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 1615.89, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 29, \"tile_m\": 5, \"tile_n\": 3, \"w\": 10, \"v\": 8, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"perf\": 1693.49, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1770.9, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 14, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 14, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 9, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 32, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 37, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 15, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 11, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 14, \"tile_m\": 3, \"tile_n\": 1, \"threads\": 256, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1706.42, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 16, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 16, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"perf\": 1749.29, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 16, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 39, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 16, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 26, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 35, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 40, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 17, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 18, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 4, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 26, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 13, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 31, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 32, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 41, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 19, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 11, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 18, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 36, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 20, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 21, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 15, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 22, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 35, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 42, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 22, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 12, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 32, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 23, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 24, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 33, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 40, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 25, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 7, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 8, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 30, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 35, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 26, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 27, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 28, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2271.93, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2399.04, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 26, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2547.24, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 32, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2645.48, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 29, \"k\": 33, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 160, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 24, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 29, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 30, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 30, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 31, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 14, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2320.73, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 20, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2639.95, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 31, \"tile_m\": 4, \"tile_n\": 8, \"w\": 12, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 32, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2714.3, \"source\": \"autotuned\"},\n{\"m\": 29, \"n\": 32, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 35, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 42, \"tile_m\": 4, \"tile_n\": 8, \"w\": 12, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 32, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 33, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 27, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 34, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 16, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 38, \"tile_m\": 5, \"tile_n\": 7, \"w\": 12, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 35, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 42, \"tile_m\": 4, \"tile_n\": 9, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 35, \"tile_m\": 6, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 27, \"tile_m\": 6, \"tile_n\": 7, \"w\": 8, \"v\": 24, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 16, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 14, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 256, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 224, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 11, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 28, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 14, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 288, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 28, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 17, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 24, \"tile_m\": 6, \"tile_n\": 8, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 35, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 42, \"tile_m\": 5, \"tile_n\": 9, \"w\": 10, \"v\": 32, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 29, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 5, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 6, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 4, \"minblocks\": 17, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 43, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 7, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 8, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 10, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 39, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 9, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 6, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 64, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 33, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 40, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 10, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 34, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 41, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 11, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 12, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 13, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 24, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 14, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 15, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 29, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 39, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 16, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 26, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 35, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 40, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 17, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 18, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 19, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 36, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 128, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 20, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 21, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 22, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 5, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 31, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 32, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 23, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 24, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 33, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 25, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 15, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 29, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 35, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 96, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 26, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 32, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 27, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 38, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 28, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 33, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 40, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 29, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 21, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 30, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2650.57, \"source\": \"autotuned\"},\n{\"m\": 30, \"n\": 30, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 35, \"tile_m\": 3, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 30, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 31, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 30, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 34, \"tile_m\": 5, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 32, \"k\": 45, \"tile_m\": 3, \"tile_n\": 11, \"w\": 12, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 34, \"tile_m\": 3, \"tile_n\": 6, \"w\": 12, \"v\": 18, \"threads\": 64, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 43, \"tile_m\": 3, \"tile_n\": 11, \"w\": 12, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 33, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 40, \"tile_m\": 5, \"tile_n\": 7, \"w\": 12, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 34, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 19, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 14, \"tile_m\": 5, \"tile_n\": 3, \"threads\": 96, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 32, \"tile_m\": 6, \"tile_n\": 8, \"w\": 8, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 30, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 6, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 13, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 15, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 20, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 25, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 26, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 28, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 29, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 32, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 35, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 23, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 5, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 24, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 6, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 10, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 38, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 7, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 8, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 64, \"grouping\": 4, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 320, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 9, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 10, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 33, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 11, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 13, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 33, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 40, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 12, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 41, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 13, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 41, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 14, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 15, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 30, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 16, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 17, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 18, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 26, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 64, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 37, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 64, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 19, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 20, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 21, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 22, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 19, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 64, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 36, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 23, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 24, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 31, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 25, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 15, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 26, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 27, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 28, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 36, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 29, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 43, \"tile_m\": 4, \"tile_n\": 8, \"w\": 12, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 30, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 31, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2700.28, \"source\": \"autotuned\"},\n{\"m\": 31, \"n\": 31, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 31, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 96, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 38, \"tile_m\": 4, \"tile_n\": 8, \"w\": 12, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 32, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 33, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 27, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 96, \"grouping\": 26, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 24, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 20, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 39, \"tile_m\": 8, \"tile_n\": 6, \"w\": 10, \"v\": 30, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 31, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 4, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 5, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 6, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 32, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 7, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 8, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 9, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 10, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 11, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 12, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 712.551, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 14, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 16, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 17, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 18, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 19, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 20, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 21, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 22, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 23, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 24, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 728.383, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 734.347, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 27, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 738.692, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 29, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 30, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 31, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 748.772, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 4, \"k\": 33, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 34, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 36, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 37, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 38, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 39, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 40, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 41, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 42, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 43, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 44, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 4, \"k\": 45, \"threads\": 128, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 4, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 32, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 788.628, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 32, \"grouping\": 4, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 806.704, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 64, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 809.076, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 12, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 860.484, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 863.101, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 5, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 884.942, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 6, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 6, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 32, \"grouping\": 5, \"minblocks\": 25, \"algorithm\": \"medium\", \"perf\": 950.689, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 5, \"minblocks\": 15, \"algorithm\": \"medium\", \"perf\": 1006.18, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"perf\": 1044.53, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"perf\": 1070.92, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1130.79, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1158.98, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 7, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 38, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1155.62, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 8, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 36, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 64, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"perf\": 1189.05, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1266.02, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1272.14, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1334.41, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1345.25, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1380.62, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 9, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 9, \"k\": 45, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1398.6, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"perf\": 1295.37, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1316.2, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 352, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1486.53, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 10, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 10, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 5, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 64, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1401.98, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 11, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1409.69, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 11, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1507.32, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 11, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1595.66, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 11, \"k\": 33, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 11, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1472.58, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 12, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1614.85, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 12, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 1631.17, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 12, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 512, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 1687.2, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 12, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 12, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"perf\": 1444.9, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1494.08, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1560.49, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1621.29, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1714.82, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 13, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 13, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1640.15, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 14, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 14, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 33, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 15, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 1495.79, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1794.95, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1798.83, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 16, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 16, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 29, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 36, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 17, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 24, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 18, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 19, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 4, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 1930.43, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 20, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 20, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2135.9, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 20, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 26, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 20, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 21, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1904.44, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 22, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 22, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 36, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 23, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1756.65, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 64, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2172.37, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2431.14, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2435.09, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 32, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2543.84, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 24, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 24, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1752.88, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1916.66, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2094.56, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2181.89, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2429.15, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2519.15, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 25, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2569.3, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 1789.55, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1986.08, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2071.44, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"perf\": 2213.46, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2496.78, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2514.02, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2625.43, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 26, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 41, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2612.42, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 27, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 27, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 1706.12, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 480, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2294.83, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 25, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2558.66, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2600.81, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2649.48, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2746.52, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 28, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2759.99, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2631.69, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 44, \"tile_m\": 4, \"tile_n\": 8, \"w\": 14, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 29, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 30, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 31, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 4, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 64, \"grouping\": 32, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 1811.89, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"perf\": 2196.76, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 10, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 64, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2425.0, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"perf\": 2468.06, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2733.95, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2801.94, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2848.85, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"perf\": 2821.09, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 26, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2853.46, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 2876.93, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2970.84, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 32, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 32, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"perf\": 2972.04, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 96, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 23, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"perf\": 2090.44, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"perf\": 2357.34, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 2485.44, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"perf\": 3112.08, \"source\": \"autotuned\"},\n{\"m\": 32, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 36, \"tile_m\": 8, \"tile_n\": 6, \"w\": 10, \"v\": 44, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 32, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 26, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 41, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 4, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 5, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 4, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 32, \"grouping\": 3, \"minblocks\": 25, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 29, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 6, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 7, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 4, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 64, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 8, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 11, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 9, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 10, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 11, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 12, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 37, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 13, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 42, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 14, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 37, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 15, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 16, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 17, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 18, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 19, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 20, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 21, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 22, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 23, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 38, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 24, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 25, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 26, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 28, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 29, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 30, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 31, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 22, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 96, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 40, \"tile_m\": 9, \"tile_n\": 5, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 44, \"tile_m\": 9, \"tile_n\": 5, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 22, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 33, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 19, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 37, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 42, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 4, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 5, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 6, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 4, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 32, \"grouping\": 4, \"minblocks\": 21, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 7, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 8, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 9, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 38, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 10, \"k\": 45, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 11, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 12, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 128, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 13, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 29, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 38, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 14, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 15, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 16, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 38, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 17, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 18, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 34, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 19, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 20, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 21, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 22, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 34, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 23, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 24, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 25, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 26, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 27, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 28, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 29, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 30, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 23, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 128, \"grouping\": 4, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 20, \"tile_m\": 3, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 40, \"tile_m\": 9, \"tile_n\": 5, \"w\": 10, \"v\": 20, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 35, \"tile_m\": 7, \"tile_n\": 2, \"w\": 12, \"v\": 42, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 38, \"tile_m\": 7, \"tile_n\": 2, \"w\": 12, \"v\": 42, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 34, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 19, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 33, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 42, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 4, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 5, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 6, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 7, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 33, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 416, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 8, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 9, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 10, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 30, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 11, \"k\": 45, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 33, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 40, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 12, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 8, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 13, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 14, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 15, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 16, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 17, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 34, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 18, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 34, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 19, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 40, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 64, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 20, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 21, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 22, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 23, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 24, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 25, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 26, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 34, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 27, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 28, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 29, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 14, \"tile_m\": 3, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 43, \"tile_m\": 7, \"tile_n\": 3, \"w\": 6, \"v\": 8, \"threads\": 64, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 44, \"tile_m\": 7, \"tile_n\": 6, \"w\": 10, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 43, \"tile_m\": 9, \"tile_n\": 5, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 43, \"tile_m\": 9, \"tile_n\": 5, \"w\": 10, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 43, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 35, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 39, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 4, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 5, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 37, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 44, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 6, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 12, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 7, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 36, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 8, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 11, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 9, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 10, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 33, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 11, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 12, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 13, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 37, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 14, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 15, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 16, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 17, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 35, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 18, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 22, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 31, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 19, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 40, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 20, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 21, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 35, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 42, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 22, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 23, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 24, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 26, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 27, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 28, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 40, \"tile_m\": 3, \"tile_n\": 7, \"w\": 8, \"v\": 8, \"threads\": 64, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 43, \"tile_m\": 9, \"tile_n\": 5, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 40, \"tile_m\": 9, \"tile_n\": 5, \"w\": 10, \"v\": 28, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 21, \"tile_m\": 2, \"tile_n\": 6, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 41, \"tile_m\": 9, \"tile_n\": 5, \"w\": 10, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 352, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 35, \"tile_m\": 5, \"tile_n\": 4, \"w\": 14, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 42, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 36, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 25, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 34, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 43, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 4, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 6, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 12, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 7, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 32, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 416, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 352, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 8, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 9, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 10, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 11, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 12, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 13, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 14, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 15, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 30, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 16, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 96, \"grouping\": 26, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 17, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 18, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 19, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 37, \"tile_m\": 4, \"tile_n\": 2, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 20, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 25, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 21, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 22, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 41, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 23, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 34, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 24, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 25, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 44, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 26, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 27, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 320, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 44, \"tile_m\": 2, \"tile_n\": 9, \"w\": 10, \"v\": 26, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 352, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 41, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 42, \"tile_m\": 3, \"tile_n\": 7, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 37, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 38, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 4, \"k\": 45, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 6, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 24, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 35, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 480, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 5, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 6, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 7, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 35, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 352, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 8, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 9, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 4, \"tile_m\": 2, \"tile_n\": 2, \"threads\": 96, \"grouping\": 5, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 41, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 10, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 11, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 7, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 35, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 42, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 12, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 13, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 14, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 38, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 15, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 31, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 16, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 17, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 18, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 37, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 19, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 20, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 37, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 21, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 41, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 22, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 25, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 36, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 23, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 33, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 24, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 36, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 42, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 26, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 31, \"k\": 45, \"tile_m\": 5, \"tile_n\": 8, \"w\": 8, \"v\": 18, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 320, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 43, \"tile_m\": 9, \"tile_n\": 2, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 40, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 38, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 38, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 41, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 42, \"k\": 45, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 39, \"tile_m\": 3, \"tile_n\": 7, \"w\": 12, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 38, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 20, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 10, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 20, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 31, \"tile_m\": 5, \"tile_n\": 1, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 38, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 224, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 4, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 192, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 10, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 5, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 6, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 7, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 37, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 8, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 9, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 10, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 4, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 64, \"grouping\": 4, \"minblocks\": 13, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 29, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 11, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 12, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 33, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 13, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 37, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 14, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 15, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 16, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 17, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 18, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 19, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 43, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 20, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 21, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 22, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 23, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 24, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 25, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 26, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 41, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 44, \"tile_m\": 10, \"tile_n\": 4, \"w\": 8, \"v\": 26, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 35, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 42, \"tile_m\": 6, \"tile_n\": 3, \"w\": 18, \"v\": 8, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 41, \"tile_m\": 3, \"tile_n\": 6, \"w\": 16, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 36, \"tile_m\": 4, \"tile_n\": 5, \"w\": 14, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 37, \"tile_m\": 5, \"tile_n\": 4, \"w\": 14, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 39, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 4, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 5, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 6, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 7, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 8, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 9, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 11, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 12, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 13, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 14, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 15, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 16, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 17, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 18, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 19, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 21, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 22, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 23, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 24, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 25, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 26, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 27, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 28, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 29, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 30, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 31, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 32, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 33, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 34, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 35, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 36, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 37, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 38, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 39, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 40, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 41, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 42, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 43, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 44, \"threads\": 160, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 4, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 5, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 6, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 6, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 37, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 7, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 8, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 10, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 9, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 28, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 37, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 10, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 11, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 36, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 12, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 13, \"k\": 45, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 14, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 15, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 16, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 26, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 17, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 18, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 9, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 31, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 19, \"k\": 45, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 32, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 20, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 21, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 35, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 42, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 22, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 30, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 39, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 23, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 24, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 480, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 37, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 25, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 35, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 40, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 21, \"tile_m\": 4, \"tile_n\": 3, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 44, \"tile_m\": 10, \"tile_n\": 4, \"w\": 8, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 8, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 42, \"tile_m\": 5, \"tile_n\": 9, \"w\": 10, \"v\": 16, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 38, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 38, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 22, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 36, \"tile_m\": 2, \"tile_n\": 7, \"w\": 16, \"v\": 26, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 43, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 19, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 43, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 40, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 24, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 36, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 4, \"k\": 45, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 7, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 14, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 21, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 34, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 5, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 6, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 11, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 7, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 8, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 160, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 34, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 9, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 38, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 10, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 11, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 4, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 12, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 13, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 9, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 31, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 37, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 14, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 37, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 15, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 8, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 30, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 16, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 17, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 7, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 34, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 18, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 19, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 29, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 38, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 20, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 5, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 21, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 22, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 23, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 24, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 32, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 22, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 43, \"tile_m\": 7, \"tile_n\": 6, \"w\": 12, \"v\": 22, \"threads\": 32, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 5, \"minblocks\": 1, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 39, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 43, \"tile_m\": 4, \"tile_n\": 5, \"w\": 14, \"v\": 16, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 38, \"tile_m\": 4, \"tile_n\": 4, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 35, \"tile_m\": 4, \"tile_n\": 4, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 42, \"tile_m\": 4, \"tile_n\": 4, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 39, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 44, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 41, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 4, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 9, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 64, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 18, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 27, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 320, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 5, \"k\": 45, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 11, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 16, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 25, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 32, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 6, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 64, \"grouping\": 3, \"minblocks\": 11, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 31, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 35, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 7, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 34, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 8, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 5, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 10, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 4, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 23, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 28, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 33, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 9, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 26, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 29, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 352, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 38, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 10, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 11, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 12, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 33, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 13, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 14, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 44, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 15, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 33, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 16, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 17, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 6, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 34, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 18, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 19, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 20, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 38, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 21, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 35, \"tile_m\": 7, \"tile_n\": 2, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 22, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 23, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 24, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 32, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 19, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 41, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 480, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 42, \"tile_m\": 4, \"tile_n\": 4, \"w\": 20, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 128, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 128, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 37, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 192, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 36, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 40, \"k\": 45, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 38, \"tile_m\": 4, \"tile_n\": 4, \"w\": 14, \"v\": 16, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 34, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 41, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 352, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 39, \"tile_m\": 3, \"tile_n\": 6, \"w\": 12, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 44, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 42, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 64, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 22, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 29, \"tile_m\": 7, \"tile_n\": 1, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 43, \"tile_m\": 3, \"tile_n\": 2, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 4, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 12, \"tile_m\": 2, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 15, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 21, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 22, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 29, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 35, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 42, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 5, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 4, \"minblocks\": 14, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 6, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 7, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 6, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 7, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 13, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 16, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 30, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 512, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 31, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 34, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 41, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 43, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 8, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 6, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 384, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 9, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 8, \"tile_m\": 1, \"tile_n\": 10, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 13, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 19, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 33, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 40, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 10, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 11, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 12, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 96, \"grouping\": 4, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 6, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 15, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 29, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 33, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 192, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 42, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 13, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 480, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 14, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 11, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 21, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 38, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 43, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 15, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 41, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 16, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 5, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 12, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 26, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 17, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 18, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 4, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 22, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 29, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 32, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 19, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 6, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 31, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 160, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 34, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 41, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 20, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 26, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 33, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 128, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 21, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 9, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 18, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 27, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 39, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 44, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 22, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 23, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 32, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 41, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 24, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 36, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 19, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 33, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 28, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 41, \"tile_m\": 4, \"tile_n\": 4, \"w\": 20, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 352, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 36, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 12, \"threads\": 160, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 40, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 41, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 37, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 40, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 38, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 30, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 41, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 37, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 44, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 43, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 4, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 4, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 5, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 6, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 7, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 8, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 9, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 10, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 11, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 12, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 13, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 14, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 15, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 96, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 16, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 17, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 18, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 19, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 20, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 21, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 22, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 23, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 24, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 25, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 26, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 27, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 28, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 29, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 30, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 31, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 32, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 33, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 34, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 36, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 37, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 38, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 39, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 40, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 41, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 43, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 44, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 5, \"k\": 45, \"threads\": 224, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 5, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 4, \"minblocks\": 15, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 7, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 160, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 14, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 19, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 21, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 256, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 28, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 34, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 41, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 6, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 7, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 4, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 5, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 6, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 7, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 8, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 9, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 10, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 11, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 12, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 13, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 14, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 15, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 17, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 18, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 19, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 20, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 21, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 22, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 23, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 24, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 25, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 26, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 27, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 28, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 29, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 30, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 32, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 33, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 34, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 35, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 36, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 37, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 38, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 39, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 40, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 41, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 160, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 42, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 43, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 44, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 8, \"k\": 45, \"threads\": 352, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 16, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 27, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 38, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 41, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 9, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 4, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 5, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 6, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 7, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 8, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 9, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 10, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 11, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 12, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 14, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 15, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 16, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 17, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 18, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 20, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 21, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 22, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 23, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 24, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 25, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 27, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 28, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 29, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 30, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 31, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 32, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 33, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 192, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 34, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 35, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 36, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 37, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 38, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 39, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 41, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 42, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 43, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 44, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 10, \"k\": 45, \"threads\": 448, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 7, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 14, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 17, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 288, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 24, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 29, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 96, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 35, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 42, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 11, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 10, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 20, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 29, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 30, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 33, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 43, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 12, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 4, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 5, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 6, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 10, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 7, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 8, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 9, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 10, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 11, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 12, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 13, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 14, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 16, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 17, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 18, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 19, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 20, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 21, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 22, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 23, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 24, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 25, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 26, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 27, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 28, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 29, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 30, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 31, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 32, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 33, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 34, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 35, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 36, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 37, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 38, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 39, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 40, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 41, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 43, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 44, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 13, \"k\": 45, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 5, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 14, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 32, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 41, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 14, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 4, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 5, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 6, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 7, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 8, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 9, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 10, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 12, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 13, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 14, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 15, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 16, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 17, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 18, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 19, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 20, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 21, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 22, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 23, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 24, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 25, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 26, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 27, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 28, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 29, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 30, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 31, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 32, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 33, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 34, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 35, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 36, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 37, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 38, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 39, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 40, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 41, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 42, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 43, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 44, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 15, \"k\": 45, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 6, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 8, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 288, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 22, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 29, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 31, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 34, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 35, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 43, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 44, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 16, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 5, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 30, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 40, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 128, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 17, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 4, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 5, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 6, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 7, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 8, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 9, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 10, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 11, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 12, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 13, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 14, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 15, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 16, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 17, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 18, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 19, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 20, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 21, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 22, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 23, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 24, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 25, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 26, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 27, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 28, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 29, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 30, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 31, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 32, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 33, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 34, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 35, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 36, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 37, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 38, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 39, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 40, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 41, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 42, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 43, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 44, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 18, \"k\": 45, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 7, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 8, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 21, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 30, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 35, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 19, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 4, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 5, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 6, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 7, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 8, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 9, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 10, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 11, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 12, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 13, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 14, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 15, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 16, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 17, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 18, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 19, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 20, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 21, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 22, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 23, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 24, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 25, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 26, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 27, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 28, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 29, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 30, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 31, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 32, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 33, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 34, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 35, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 36, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 37, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 38, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 39, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 40, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 41, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 42, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 43, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 44, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 20, \"k\": 45, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 6, \"tile_m\": 1, \"tile_n\": 11, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 31, \"tile_m\": 2, \"tile_n\": 4, \"threads\": 160, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 21, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 5, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 8, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 12, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 480, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 23, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 26, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 30, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 32, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 38, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 22, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 4, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 5, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 6, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 7, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 8, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 9, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 10, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 11, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 12, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 13, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 14, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 15, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 16, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 17, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 18, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 19, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 20, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 21, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 22, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 23, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 24, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 25, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 26, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 27, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 28, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 29, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 30, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 31, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 32, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 33, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 34, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 35, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 36, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 37, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 38, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 39, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 40, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 41, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 42, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 43, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 44, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 23, \"k\": 45, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 15, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 224, \"grouping\": 4, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 29, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 43, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 24, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 29, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 39, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 576, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 4, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 27, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 32, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 41, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 31, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 672, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 41, \"tile_m\": 2, \"tile_n\": 3, \"threads\": 256, \"grouping\": 26, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 27, \"tile_m\": 2, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 42, \"tile_m\": 4, \"tile_n\": 5, \"w\": 14, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 40, \"tile_m\": 4, \"tile_n\": 5, \"w\": 14, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 800, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 37, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 42, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 38, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 896, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 40, \"k\": 45, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 352, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 42, \"k\": 45, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 224, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 35, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 40, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 352, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 39, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 512, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 352, \"grouping\": 26, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 39, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 34, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 44, \"n\": 45, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 1024, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 4, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 5, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 6, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 7, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 8, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 9, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 10, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 11, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 12, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 13, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 14, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 15, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 16, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 17, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 18, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 19, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 20, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 21, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 22, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 23, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 24, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 25, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 26, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 27, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 28, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 29, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 30, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 31, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 32, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 33, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 34, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 35, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 36, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 37, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 38, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 39, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 40, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 41, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 42, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 43, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 44, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 4, \"k\": 45, \"threads\": 192, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 4, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 5, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 6, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 7, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 8, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 9, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 10, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 11, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 12, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 13, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 14, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 15, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 96, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 17, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 18, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 19, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 20, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 21, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 22, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 23, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 24, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 25, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 4, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 26, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 27, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 28, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 29, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 30, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 31, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 32, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 33, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 34, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 35, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 36, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 37, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 38, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 39, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 40, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 41, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 42, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 43, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 44, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 5, \"k\": 45, \"threads\": 256, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 4, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 5, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 6, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 7, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 64, \"grouping\": 3, \"minblocks\": 16, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 8, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 9, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 10, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 11, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 12, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 13, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 128, \"grouping\": 3, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 15, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 16, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 17, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 18, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 19, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 20, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 22, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 23, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 24, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 25, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 26, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 27, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 28, \"tile_m\": 1, \"tile_n\": 1, \"threads\": 480, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 29, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 30, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 31, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 32, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 33, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 35, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 36, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 37, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 38, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 39, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 40, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 320, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 42, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 43, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 44, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 6, \"k\": 45, \"threads\": 288, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 4, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 5, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 6, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 7, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 8, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 9, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 10, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 11, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 12, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 13, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 14, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 15, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 16, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 17, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 18, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 19, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 20, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 21, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 22, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 23, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 24, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 25, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 26, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 27, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 28, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 29, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 30, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 31, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 32, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 33, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 34, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 35, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 36, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 37, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 38, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 39, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 40, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 41, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 42, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 43, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 44, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 7, \"k\": 45, \"threads\": 320, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 4, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 5, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 6, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 7, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 8, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 9, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 10, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 160, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 11, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 12, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 13, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 14, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 15, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 16, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 17, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 18, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 19, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 20, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 21, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 22, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 23, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 128, \"grouping\": 3, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 24, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 25, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 26, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 27, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 28, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 29, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 30, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 31, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 32, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 33, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 34, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 35, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 36, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 37, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 38, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 39, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 40, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 41, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 42, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 43, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 44, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 8, \"k\": 45, \"threads\": 384, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 4, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 5, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 6, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 7, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 8, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 9, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 10, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 11, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 12, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 13, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 14, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 15, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 16, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 17, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 18, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 19, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 20, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 21, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 22, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 23, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 24, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 25, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 26, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 27, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 28, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 29, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 30, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 31, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 32, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 33, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 34, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 35, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 36, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 37, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 38, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 160, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 39, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 40, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 41, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 42, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 43, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 44, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 9, \"k\": 45, \"threads\": 416, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 4, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 5, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 6, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 7, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 8, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 9, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 10, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 11, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 12, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 13, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 14, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 15, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 16, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 17, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 18, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 19, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 20, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 21, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 22, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 23, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 24, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 25, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 26, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 27, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 28, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 29, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 30, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 31, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 32, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 33, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 34, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 35, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 36, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 37, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 38, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 39, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 40, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 41, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 42, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 43, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 44, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 10, \"k\": 45, \"threads\": 480, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 4, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 5, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 6, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 7, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 128, \"grouping\": 4, \"minblocks\": 9, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 8, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 9, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 10, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 11, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 12, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 13, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 15, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 16, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 17, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 18, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 19, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 20, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 21, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 22, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 23, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 384, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 25, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 26, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 27, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 28, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 29, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 30, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 31, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 32, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 33, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 34, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 36, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 37, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 38, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 39, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 40, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 41, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 42, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 43, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 44, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 11, \"k\": 45, \"threads\": 512, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 4, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 5, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 6, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 7, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 8, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 9, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 160, \"grouping\": 29, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 11, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 12, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 13, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 14, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 15, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 16, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 17, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 18, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 19, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 480, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 21, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 22, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 23, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 24, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 25, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 26, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 27, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 28, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 224, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 30, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 31, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 32, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 33, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 160, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 34, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 35, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 36, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 37, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 38, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 39, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 40, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 41, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 42, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 43, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 44, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 12, \"k\": 45, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 4, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 5, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 6, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 7, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 8, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 9, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 10, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 11, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 12, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 13, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 14, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 15, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 16, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 17, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 18, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 19, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 20, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 21, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 22, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 23, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 24, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 25, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 26, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 27, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 28, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 29, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 30, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 31, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 32, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 33, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 34, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 35, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 36, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 37, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 38, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 39, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 40, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 41, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 42, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 43, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 44, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 13, \"k\": 45, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 4, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 5, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 96, \"grouping\": 3, \"minblocks\": 12, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 6, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 7, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 8, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 9, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 10, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 11, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 12, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 13, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 15, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 16, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 17, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 18, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 19, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 20, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 21, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 22, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 23, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 24, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 25, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 26, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 27, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 28, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 29, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 30, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 31, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 33, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 34, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 35, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 36, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 37, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 38, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 39, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 40, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 41, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 42, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 43, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 44, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 14, \"k\": 45, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 4, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 5, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 6, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 7, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 8, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 128, \"grouping\": 3, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 9, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 10, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 11, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 12, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 13, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 14, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 15, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 16, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 17, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 18, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 19, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 20, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 21, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 23, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 24, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 25, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 26, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 27, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 28, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 29, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 30, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 32, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 33, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 34, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 36, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 37, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 38, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 39, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 40, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 41, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 42, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 43, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 44, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 15, \"k\": 45, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 4, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 5, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 192, \"grouping\": 5, \"minblocks\": 7, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 6, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 7, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 8, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 9, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 10, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 11, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 12, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 13, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 14, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 15, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 16, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 17, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 18, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 19, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 20, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 21, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 22, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 23, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 24, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 25, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 26, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 27, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 28, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 29, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 30, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 31, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 32, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 33, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 34, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 35, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 36, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 37, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 38, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 39, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 40, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 41, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 42, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 43, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 44, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 16, \"k\": 45, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 4, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 5, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 6, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 7, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 8, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 9, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 10, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 11, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 12, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 13, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 14, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 15, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 16, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 17, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 18, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 19, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 20, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 21, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 22, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 23, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 24, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 25, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 26, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 27, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 28, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 29, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 30, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 31, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 32, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 33, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 34, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 35, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 36, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 37, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 38, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 39, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 40, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 41, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 42, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 43, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 44, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 17, \"k\": 45, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 4, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 192, \"grouping\": 5, \"minblocks\": 8, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 5, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 6, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 7, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 8, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 9, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 10, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 11, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 12, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 13, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 14, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 15, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 16, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 17, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 18, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 19, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 20, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 21, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 22, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 23, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 24, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 25, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 26, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 27, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 28, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 29, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 30, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 31, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 32, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 33, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 34, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 35, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 36, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 37, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 38, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 39, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 40, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 41, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 42, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 43, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 44, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 18, \"k\": 45, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 4, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 5, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 6, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 7, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 8, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 9, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 10, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 11, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 12, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 13, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 14, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 15, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 16, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 17, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 18, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 19, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 20, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 21, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 22, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 23, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 24, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 25, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 26, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 27, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 28, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 29, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 31, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 32, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 33, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 34, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 35, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 36, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 37, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 38, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 39, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 40, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 41, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 42, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 43, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 44, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 19, \"k\": 45, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 4, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 5, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 6, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 7, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 8, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 9, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 10, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 11, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 12, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 13, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 14, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 15, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 16, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 17, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 18, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 19, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 20, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 21, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 22, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 23, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 24, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 25, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 26, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 27, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 28, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 29, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 30, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 31, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 32, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 33, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 34, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 35, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 36, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 37, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 38, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 39, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 40, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 41, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 42, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 43, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 44, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 20, \"k\": 45, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 4, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 5, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 6, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 7, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 8, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 10, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 11, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 12, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 13, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 14, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 15, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 16, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 17, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 18, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 160, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 19, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 20, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 21, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 22, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 23, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 24, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 25, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 26, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 27, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 28, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 29, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 30, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 31, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 32, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 33, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 34, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 35, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 36, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 37, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 38, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 39, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 40, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 41, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 42, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 43, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 44, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 21, \"k\": 45, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 4, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 5, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 6, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 7, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 8, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 9, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 10, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 11, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 288, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 13, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 14, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 15, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 16, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 17, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 18, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 19, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 20, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 21, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 22, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 24, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 25, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 26, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 27, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 28, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 29, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 31, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 32, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 33, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 34, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 35, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 36, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 37, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 38, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 39, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 40, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 41, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 42, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 43, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 44, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 22, \"k\": 45, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"tiny\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 23, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 7, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 21, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 192, \"grouping\": 3, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 35, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 24, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 544, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 11, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 352, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 480, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 36, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 25, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 26, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 608, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 8, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 224, \"grouping\": 5, \"minblocks\": 5, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 23, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 36, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 27, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 4, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 5, \"minblocks\": 6, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 13, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 26, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 35, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 320, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 40, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 192, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 28, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 640, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 29, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 12, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 21, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 30, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 39, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 30, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 10, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 19, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 38, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 384, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 31, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 14, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 448, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 32, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 43, \"tile_m\": 4, \"tile_n\": 4, \"w\": 20, \"v\": 14, \"threads\": 96, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 32, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 736, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 34, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 416, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 43, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 33, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 10, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 17, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 24, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 256, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 39, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 34, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 768, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 10, \"tile_m\": 1, \"tile_n\": 4, \"threads\": 480, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 19, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 192, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 35, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 36, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 832, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 14, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 23, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 28, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 288, \"grouping\": 3, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 34, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 20, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 43, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 37, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 10, \"tile_m\": 1, \"tile_n\": 6, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 17, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 24, \"tile_m\": 1, \"tile_n\": 8, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 38, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 864, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 39, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 14, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 16, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 25, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 24, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 34, \"tile_m\": 3, \"tile_n\": 5, \"w\": 14, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 43, \"tile_m\": 3, \"tile_n\": 5, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 40, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 928, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 5, \"minblocks\": 4, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 9, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 416, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 20, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 31, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 320, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 34, \"tile_m\": 3, \"tile_n\": 5, \"w\": 12, \"v\": 40, \"threads\": 160, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 41, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 42, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 960, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 6, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 10, \"tile_m\": 1, \"tile_n\": 5, \"threads\": 480, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 15, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 16, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 20, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 25, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 34, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 39, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 43, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 43, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 4, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 5, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 6, \"tile_m\": 1, \"tile_n\": 7, \"threads\": 384, \"grouping\": 5, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 7, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 8, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 9, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 10, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 11, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 12, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 13, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 14, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 15, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 16, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 256, \"grouping\": 3, \"minblocks\": 3, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 17, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 18, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 19, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 20, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 21, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 22, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 23, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 24, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 25, \"tile_m\": 1, \"tile_n\": 9, \"threads\": 352, \"grouping\": 4, \"minblocks\": 2, \"algorithm\": \"medium\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 26, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 27, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 28, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 29, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 30, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 31, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 32, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 33, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 34, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 35, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 36, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 37, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 38, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 39, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 40, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 41, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 42, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 43, \"tile_m\": 3, \"tile_n\": 6, \"w\": 10, \"v\": 32, \"threads\": 128, \"grouping\": 16, \"minblocks\": 4, \"algorithm\": \"largeDB2\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 44, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 44, \"k\": 45, \"tile_m\": 1, \"tile_n\": 2, \"threads\": 992, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 4, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 5, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 6, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 7, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 8, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 9, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 10, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 11, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 12, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 13, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 14, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 15, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 16, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 17, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 18, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 19, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 20, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 21, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 22, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 23, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 24, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 25, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 26, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 27, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 28, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 29, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 30, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 31, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 32, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 33, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 34, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 35, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 36, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 37, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 38, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 39, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 40, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 41, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 42, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 43, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 44, \"tile_m\": 1, \"tile_n\": 3, \"threads\": 704, \"grouping\": 2, \"minblocks\": 1, \"algorithm\": \"small\", \"source\": \"predicted\"},\n{\"m\": 45, \"n\": 45, \"k\": 45, \"tile_m\": 3, \"tile_n\": 8, \"w\": 16, \"v\": 32, \"threads\": 96, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 3610.99, \"source\": \"autotuned\"},\n{\"m\": 55, \"n\": 55, \"k\": 32, \"tile_m\": 2, \"tile_n\": 7, \"threads\": 256, \"grouping\": 5, \"minblocks\": 2, \"algorithm\": \"medium\", \"perf\": 3960.66, \"source\": \"autotuned\"},\n{\"m\": 56, \"n\": 56, \"k\": 56, \"tile_m\": 7, \"tile_n\": 4, \"w\": 20, \"v\": 44, \"threads\": 128, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 4524.45, \"source\": \"autotuned\"},\n{\"m\": 64, \"n\": 64, \"k\": 64, \"tile_m\": 2, \"tile_n\": 8, \"w\": 24, \"v\": 56, \"threads\": 256, \"grouping\": 16, \"minblocks\": 2, \"algorithm\": \"largeDB2\", \"perf\": 5272.92, \"source\": \"autotuned\"},\n{\"m\": 72, \"n\": 72, \"k\": 72, \"tile_m\": 5, \"tile_n\": 9, \"w\": 12, \"v\": 36, \"threads\": 128, \"grouping\": 16, \"minblocks\": 1, \"algorithm\": \"largeDB2\", \"perf\": 5054.05, \"source\": \"autotuned\"}\n]" }, { "path": "src/acc/libsmm_acc/parameters_utils.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef PARAMETERS_UTILS_H\n#define PARAMETERS_UTILS_H\n\n#include \n#include \n#include \n#include \n\ntypedef std::array Triplet;\ntypedef std::array KernelParameters;\n\nnamespace std {\ntemplate<> struct hash {\n size_t operator()(std::array const& k) const noexcept {\n /* the hash of an int is the int itself (perfect hash) */\n size_t seed = k[0];\n /* then mix the other hashes into it, see also boost::hash_combine */\n seed ^= static_cast(k[1]) + 0x9e3779b9 + (seed << 6) + (seed >> 2);\n seed ^= static_cast(k[2]) + 0x9e3779b9 + (seed << 6) + (seed >> 2);\n return seed;\n }\n};\n} // namespace std\n\ninline void get_libsmm_acc_triplets(std::vector& v, std::unordered_map const& ht) {\n for (auto it = ht.begin(); it != ht.end(); ++it) v.push_back(it->first);\n}\n\n#endif /*PARAMETERS_UTILS_H*/\n" }, { "path": "src/acc/libsmm_acc/tune/.gitignore", "content": "tune_*/" }, { "path": "src/acc/libsmm_acc/tune/README.md", "content": "# Auto-tuning Procedure for Finding Optimal CUDA/HIP Kernel Parameters in `libsmm_acc`\n\nThe performance of the matrix-matrix multiplication kernels is highly dependent on the choice of algorithm and parameters. This is why auto-tuning is used to find optimal kernel parameters.\n\n---\n\n### Requirements\n\nPython version required: `python 3.6+`\n\nIf you are about to autotune parameters for a new GPU (i.e. a GPU for which there are no auto-tuned parameters yet), please first follow [the instructions for a new GPU](https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/README.md#adding-support-for-a-new-gpu-card).\n\nInstall all python packages required (if you do not want this project's requirements to interfere with your other Python projects, consider doing so in a [virtual environment](https://docs.python.org/3/tutorial/venv.html)), using\n\n```bash\npip install -r requirements.txt\n```\n\n---\n\n### Auto-tuning procedure\n\n#### 1. Go to the `libsmm_acc/tune` directory\n\n```bash\n$ cd dbcsr/src/acc/libsmm_acc/tune\n```\n\nThe `parameters.h` file (a C++ header file generated from the JSON record of multiplication kernels and their optimal parameters) is needed for the auto-tuning procedure. One can copy it over from a build directory for example, as follows:\n```bash\n$ cp ~/dbcsr/build_dir/src/acc/libsmm_acc/parameters.h ../\n```\n\n#### 2. Adapt `tune_setup.py` to your environment\n\nThe `tune_setup.py` script generates job files. You have to adapt the script to the environment of your supercomputer and your personal settings.\n\n```\n...\n def gen_jobfile(outdir, m, n, k):\n\n ...\n\n output = \"#!/bin/bash -l\\n\"\n output += \"#SBATCH --nodes=%d\\n\" % num_nodes\n output += \"#SBATCH --ntasks-per-core=1\\n\"\n output += \"#SBATCH --ntasks-per-node=1\\n\"\n output += \"#SBATCH --cpus-per-task=\" + \"%d\\n\" % cpus_per_node\n output += \"#SBATCH --time=%s\\n\" % time\n output += \"#SBATCH --partition=normal\\n\"\n output += \"#SBATCH --constraint=gpu\\n\"\n output += \"\\n\"\n output += \"source ${MODULESHOME}/init/sh;\\n\"\n output += \"module load daint-gpu\\n\"\n output += \"module unload PrgEnv-cray\\n\"\n output += \"module load PrgEnv-gnu\\n\"\n if compiler == \"nvcc\":\n output += \"module load cudatoolkit/8.0.61_2.4.9-6.0.7.0_17.1__g899857c\\n\"\n else: # i.e. compiler = hipcc\n output += \"module load hip\\n\"\n output += \"module list\\n\"\n output += \"export CRAY_CUDA_MPS=1\\n\"\n output += \"cd $SLURM_SUBMIT_DIR \\n\"\n output += \"\\n\"\n output += \"date\\n\"\n\n ...\n...\n```\n\n#### 3. Run the script `tune_setup.py`\n\n##### Script arguments\n\nSpecify which GPU you are auto-tuning for by passing the appropriate `parameters_GPU.json` file as an argument with `-p/--params`.\n\nSpecify which compiler to use for compiling kernel code by passing `nvcc` or `hipcc` as an argument with `-b/--compiler`.\n\nMore arguments can be set, run\n```bash\n$ ./tune_setup.py --help\n```\nfor more information.\n\n##### Script positional arguments (block sizes to autotune)\n\nIn addition, the script takes as arguments the block sizes you want to add to `libsmm_acc`. You can specify these as a list of integers or provide the parameter file of a different GPU from which to read the block sizes to autotune.\n\n##### Examples\n\nFor example, if the system you want to autotune for contains blocks of size 5 and 8, run:\n\n```bash\n$ ./tune_setup.py 5 8 -p ../parameters/parameters_P100.json\nReading parameters from parameters_P100.json\nlibsmm_acc: Found 74096 existing parameter sets, of which 1641 are autotuned and 72455 are predicted.\nRequested to autotune 8 triplets\nFound 41824 parameter sets for 5x5x5\nFound 83648 parameter sets for 5x5x8\nFound 103072 parameter sets for 5x8x5\nFound 103072 parameter sets for 5x8x8\nFound 103072 parameter sets for 8x5x5\nFound 103072 parameter sets for 8x5x8\nFound 125344 parameter sets for 8x8x5\nFound 125344 parameter sets for 8x8x8\n```\n\nOr, if you want to obtain, for the NVIDIA P100, the parameters of the same block sizes as recorded for the NVIDIA K40, run:\n\n```bash\n$ ./tune_setup.py -p ../parameters/parameters_P100.json ../parameters/parameters_K40.json\nReading parameters from parameters_P100.json\nlibsmm_acc: Found 74093 existing parameter sets, of which 1638 are autotuned and 72455 are predicted.\nReading parameters to autotune from parameters_K40.json\nRequested to autotune 19 triplets\nFound 41824 parameter sets for 5x5x5\nFound 95648 parameter sets for 6x6x6\nFound 110496 parameter sets for 7x7x7\nFound 125344 parameter sets for 8x8x8\nFound 173764 parameter sets for 9x9x9\n...\n```\n\n##### Output\n\nThe script will create a directory for each combination of the block sizes:\n\n```bash\n$ ls -d tune_*\ntune_5x5x5 tune_5x5x8 tune_5x8x5 tune_5x8x8 tune_8x5x5 tune_8x5x8 tune_8x8x5 tune_8x8x8\n```\n\nEach directory contains a number of files:\n\n```bash\n$ ls -1 tune_8x8x8/\nMakefile\ntune_8x8x8_exe0_main.cu/cpp\ntune_8x8x8_exe0_part0.cu/cpp\ntune_8x8x8_exe0_part1.cu/cpp\ntune_8x8x8_exe0_part2.cu/cpp\ntune_8x8x8_exe0_part3.cu/cpp\ntune_8x8x8_exe0_part4.cu/cpp\ntune_8x8x8.job\n```\n\nFor each possible parameter-set a *launcher* is generated. A launcher is a small snippet of C code, which launches the kernel by using the CUDA specific `<<< >>>`-notation or HIP's `hipLaunchKernelGGL` function. It also instantiates the C++ template which contains the actual kernel code.\n\nIn order to parallelize the benchmarking, the launchers are distributed over multiple executables. Currently, up to 10'000 launchers are benchmarked by one *executable*. Each executable is linked together from several `tune_*_part???.o` and a `tune_*_main.o`. Each part-files contains up to 100 launchers. This allows to parallelize the compilation over multiple CPU cores.\n\n#### 4. Adapt `tune_submit.py` to your environment\n\nThe script `tune_submit.py` was written for the slurm batch system as used e.g. by CRAY supercomputers. If your computer runs a different batch system, you have to adapt `tune_submit.py` accordingly.\n\n#### 5. Submit Jobs\n\nEach tune-directory contains a job file. Since there might be many tune-directories, the convenience script `tune_submit.py` can be used to submit jobs. It will go through all the `tune_*`-directories and check if its job has already been submitted or run. For this, the script calls `squeue` in the background and it searches for `slurm-*.out`files. In order to limit the number of jobs submitted at a time, a maximum number of jobs to submit can be specified with `-j`.\n\nWhen `tune_submit.py` is called without arguments, it will just list the jobs that could be submitted:\n\n```bash\n$ ./tune_submit.py\n tune_5x5x5: Would submit, run with \"doit!\"\n tune_5x5x8: Would submit, run with \"doit!\"\n tune_5x8x5: Would submit, run with \"doit!\"\n tune_5x8x8: Would submit, run with \"doit!\"\n tune_8x5x5: Would submit, run with \"doit!\"\n tune_8x5x8: Would submit, run with \"doit!\"\n tune_8x8x5: Would submit, run with \"doit!\"\n tune_8x8x8: Would submit, run with \"doit!\"\nNumber of jobs submitted: 8\n```\n\nOnly when `tune_submit.py` is called with `doit!` as its first argument, will it actually submit jobs:\n\n```bash\n$ ./tune_submit.py doit!\n tune_5x5x5: Submitting\nSubmitted batch job 277987\n tune_5x5x8: Submitting\nSubmitted batch job 277988\n tune_5x8x5: Submitting\nSubmitted batch job 277989\n tune_5x8x8: Submitting\nSubmitted batch job 277990\n tune_8x5x5: Submitting\nSubmitted batch job 277991\n tune_8x5x8: Submitting\nSubmitted batch job 277992\n tune_8x8x5: Submitting\nSubmitted batch job 277993\n tune_8x8x8: Submitting\nSubmitted batch job 277994\nNumber of jobs submitted: 8\n```\n\n#### 6. Collect Results\n\nRun `tune_collect.py` to parse all log files and determine the best kernel for each blocksize:\n\n```bash\n$ ./tune_collect.py\nReading: tune_5x5x5/tune_5x5x5_exe0.log\nReading: tune_5x5x8/tune_5x5x8_exe0.log\nReading: tune_5x8x5/tune_5x8x5_exe0.log\nReading: tune_5x8x8/tune_5x8x8_exe0.log\nReading: tune_8x5x5/tune_8x5x5_exe0.log\nReading: tune_8x5x8/tune_8x5x8_exe0.log\nReading: tune_8x8x5/tune_8x8x5_exe0.log\nReading: tune_8x8x8/tune_8x8x8_exe0.log\nKernel_dnt_tiny(m=5, n=5, k=5, split_thread=32, threads=64, grouping=16, minblocks=1) , # 27.9623 GFlops\nKernel_dnt_tiny(m=5, n=5, k=8, split_thread=32, threads=96, grouping=16, minblocks=1) , # 37.8978 GFlops\nKernel_dnt_medium(m=5, n=8, k=5, tile_m=1, tile_n=1, threads=96, grouping=16, minblocks=8) , # 32.9231 GFlops\nKernel_dnt_tiny(m=5, n=8, k=8, split_thread=32, threads=96, grouping=16, minblocks=1) , # 47.0366 GFlops\nKernel_dnt_medium(m=8, n=5, k=5, tile_m=1, tile_n=1, threads=96, grouping=16, minblocks=12) , # 33.1999 GFlops\nKernel_dnt_medium(m=8, n=5, k=8, tile_m=1, tile_n=1, threads=96, grouping=16, minblocks=12) , # 49.3499 GFlops\nKernel_dnt_tiny(m=8, n=8, k=5, split_thread=32, threads=96, grouping=16, minblocks=1) , # 62.8469 GFlops\nKernel_dnt_tiny(m=8, n=8, k=8, split_thread=32, threads=128, grouping=16, minblocks=1) , # 90.7763 GFlops\n\nWrote parameters.json\n```\n\nThe file `parameters.json` in `dbcsr/src/acc/libsmm_acc/parameters` now contains the newly autotuned parameters.\n\n#### 7. Merge new parameters with original parameter-file\n\nRun `tune_merge.py` to merge the new parameters with the original ones, within the directory `parameters`.\n\n```bash\n$ ./tune_merge.py\nMerging parameters.json with parameters_P100.json\nWrote parameters.new.json\n```\n\nThe file `parameters.new.json` can now be used as a parameter file. Rename it to `parameters_GPU.json`, with the appropriate `GPU`.\n\n#### 8. Contribute parameters to the community\n\n**Contribute new optimal parameters**\n\nSubmit a pull request updating the appropriate `parameters_GPU.json` file to the [DBCSR repository](https://github.com/cp2k/dbcsr).\n\n**Contribute autotuning data**\n\nSee [instructions](https://github.com/cp2k/dbcsr-data#contributing) in DBCSR's [data repository](https://github.com/cp2k/dbcsr-data).\n" }, { "path": "src/acc/libsmm_acc/tune/archive.sh", "content": "#!/bin/bash -e\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\necho \"removing unneeded files....\"\nrm -f tune_*/*.job tune_*/Makefile tune_*/*_exe? tune_*/*_part*.cu tune_*/*_part*.cpp tune_*/*.o\n\nfn=\"../libsmm_acc_tuning_`date +'%F'`.tgz\"\n\nif [ -f $fn ]; then\n echo \"Archive file exists already, aborting!\"\n exit 1\nfi\n\nset -x\ntar czf $fn .\n" }, { "path": "src/acc/libsmm_acc/tune/cleanup.sh", "content": "#!/bin/bash -e\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\necho \"removing tuning files....\"\nrm -rf tune_*x*x*\n" }, { "path": "src/acc/libsmm_acc/tune/requirements.txt", "content": "numpy==1.22.0\n" }, { "path": "src/acc/libsmm_acc/tune/tune_collect.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport sys\nimport re\nimport json\nimport argparse\nfrom pathlib import Path\n\nsys.path.append(\"../\")\nfrom kernels.smm_acc import descr_to_kernel # noqa: E402\n\nre_mnk = re.compile(r\"tune_(\\d+)x(\\d+)x(\\d+)\")\nre_winner = re.compile(r\"\\nWINNER: \\d+ (.+)\\n\")\nre_gflops = re.compile(r\"# ([0-9.]+) GFlop/s\")\nre_errors = re.compile(r\"Number of errors: (\\d+)\\n\")\n\nfrom dataclasses import dataclass # noqa: E402\n\n\n@dataclass\nclass awinner:\n value: str = \"\"\n missing: int = 0\n incomplete: int = 0\n n_errors: int = 0\n\n\ndef tune_sort_key(path: Path):\n try:\n _, triple = path.name.split(\"_\")\n m, n, k = triple.split(\"x\")\n except ValueError:\n return (0, 0, 0) # sort non-matching dirs as they come at the beginning\n\n return (int(m), int(n), int(k))\n\n\n# ===============================================================================\ndef main(tune_dir=Path(\".\")):\n winners = dict()\n\n n_errors = 0\n for dir in sorted(tune_dir.glob(\"tune_*\"), key=tune_sort_key):\n if not dir.is_dir():\n continue\n\n for log_fpath in sorted(dir.glob(\"tune_*.log\")):\n mnk = tuple(int(i) for i in re_mnk.search(log_fpath.name).groups())\n if mnk not in winners:\n winners[mnk] = awinner()\n if not log_fpath.exists():\n winners[mnk] = awinner(value=f\"log missing: {log_fpath}\", missing=1)\n print(\n \"WARNING: Missing log:\",\n log_fpath,\n \", please re-run (cd tune_mxnxk; sbatch tune_mxnxk.job)\",\n )\n n_errors += 1\n else:\n n_errors += process_log(log_fpath, mnk, winners)\n\n if n_errors > 0:\n print(f\"WARNING: Found {int(n_errors)} issues, check above messages.\")\n\n # Get kernel objects from list of strings\n kernels = [\n descr_to_kernel(kernel_descr.value)\n for kernel_descr in winners.values()\n if not (kernel_descr.missing or kernel_descr.incomplete)\n ]\n kernels_dict = dict(zip([(k.m, k.n, k.k) for k in kernels], kernels))\n new_file = \"../parameters/parameters.json\"\n with open(new_file, \"w\") as f:\n s = json.dumps(\n [\n kernels_dict[kernel].as_dict_for_parameters_json\n for kernel in sorted(kernels_dict.keys())\n ]\n )\n s = s.replace(\"}, \", \"},\\n\")\n s = s.replace(\"[\", \"[\\n\")\n s = s.replace(\"]\", \"\\n]\")\n f.write(s)\n\n print(\"\\n\")\n print(\"Wrote\", new_file)\n\n\n# ===============================================================================\ndef process_log(log_fn: Path, mnk, winners):\n print(f\"Reading {log_fn}\")\n\n content = log_fn.read_text()\n m = re_errors.search(content)\n if not m:\n winners[mnk].incomplete += 1\n print(\n \"WARNING: Found incomplete log:\",\n log_fn,\n \", please re-run (cd tune_mxnxk; sbatch tune_mxnxk.job)\",\n )\n return 1\n\n n_errors = int(m.group(1))\n if n_errors != 0:\n winners[mnk].n_errors += n_errors\n return 1\n\n old_gflops = 0.0\n m = re_gflops.search(winners[mnk].value)\n if m:\n old_gflops = float(m.group(1))\n\n new_winner = re_winner.search(content)\n if not new_winner:\n return 0\n new_winner = new_winner.group(1).strip().replace(\"GFlops\", \"GFlop/s\")\n new_gflops = float(re_gflops.search(new_winner).group(1))\n\n if new_gflops > old_gflops:\n winners[mnk].value = new_winner\n return 0\n\n\n# ===============================================================================\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(\n description=\"\"\"\n Collect autotuning results: parse the log files contained in folders tune_*x*x*\n to determine the best kernel for each block size, and store the results in a\n file \"parameters.json\".\n\n This script is part of the workflow for autotuning optimal libsmm_acc parameters.\n For more details, see README.md.\n \"\"\",\n formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n )\n\n args = parser.parse_args()\n main()\n" }, { "path": "src/acc/libsmm_acc/tune/tune_merge.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport sys\nimport json\nimport argparse\n\nsys.path.append(\"../\")\nfrom kernels.smm_acc import params_dict_to_kernel # noqa: E402\n\n\ndef main(param_fn):\n # Read new kernel parameters\n param_new = \"../parameters/parameters.json\"\n with open(param_new) as f:\n new_kernels = [params_dict_to_kernel(**params) for params in json.load(f)]\n\n # Read old kernel parameters\n with open(param_fn) as f:\n old_kernels = [params_dict_to_kernel(**params) for params in json.load(f)]\n\n # Merge two parameter lists\n print(\"Merging\", param_new, \"with\", param_fn)\n kernels_dict = dict(zip([(k.m, k.n, k.k) for k in old_kernels], old_kernels))\n new_kernels_dict = dict(zip([(k.m, k.n, k.k) for k in new_kernels], new_kernels))\n kernels_dict.update(new_kernels_dict)\n\n # Write kernel parameters to new file\n new_file = \"parameters.new.json\"\n with open(new_file, \"w\") as f:\n s = json.dumps(\n [\n kernels_dict[kernel].as_dict_for_parameters_json\n for kernel in sorted(kernels_dict.keys())\n ]\n )\n s = s.replace(\"}, \", \"},\\n\")\n s = s.replace(\"[\", \"[\\n\")\n s = s.replace(\"]\", \"\\n]\")\n f.write(s)\n\n print(\"Wrote\", new_file)\n\n\n# ===============================================================================\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(\n description=\"\"\"\n Write a new kernel parameter file (parameters.new.json) as a unique merge of an\n already-existing parameter file (specified by `-p parameters_GPU.json`) and a new\n one (parameters.json) created by tune_collect.py. If a kernel (m, n, k) is listed\n in both the original parameter file and the new parameter file, retain its parameters\n as defined in the new parameter file.\n\n This script is part of the workflow for autotuning optimal libsmm_acc parameters.\n For more details, see README.md.\n \"\"\",\n formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n )\n parser.add_argument(\n \"-p\",\n \"--params\",\n metavar=\"parameters_GPU.json\",\n type=str,\n default=\"../parameters/parameters_A100.json\",\n help=\"parameter file in which to merge the newly obtained autotuned parameters\",\n )\n\n args = parser.parse_args()\n main(args.params)\n" }, { "path": "src/acc/libsmm_acc/tune/tune_setup.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport sys\nimport os\nimport stat\nimport json\nimport math\nfrom itertools import product\nimport argparse\nfrom pathlib import Path\n\nsys.path.append(\"../\")\nfrom kernels.smm_acc_predict import ( # noqa: E402\n gpu_architectures,\n kernel_algorithm,\n params_dict_to_kernel,\n compatible_mnk,\n)\n\n\n# ===============================================================================\ndef main(\n param_fn: Path,\n compiler,\n cpus_per_task,\n max_num_nodes,\n blocksizes,\n blocks_from_param_file,\n tune_dir: Path,\n):\n # Read existing parameters\n assert (\n param_fn.name in gpu_architectures.keys()\n ), f\"Cannot find GPU architecture for file {param_fn.name}\"\n arch_code = gpu_architectures[param_fn.name]\n with open(\"../kernels/gpu_properties.json\") as fhandle:\n gpu_properties = json.load(fhandle)[arch_code]\n with open(\"../kernels/autotuning_properties.json\") as fhandle:\n autotuning_properties = json.load(fhandle)\n with param_fn.open(\"r\") as fhandle:\n all_kernels = [params_dict_to_kernel(**params) for params in json.load(fhandle)]\n print(f\"Reading parameters from {param_fn}\")\n autotuned_kernels = [k for k in all_kernels if k.autotuned]\n predicted_kernels = [k for k in all_kernels if not k.autotuned]\n print(\n \"libsmm_acc: found %d existing parameter sets, of which %d are autotuned and %d are predicted.\"\n % (len(all_kernels), len(autotuned_kernels), len(predicted_kernels))\n )\n\n # Get blocksizes to be autotuned\n if blocks_from_param_file: # open and read file\n with open(blocksizes) as f:\n all_kernels_ref = [\n params_dict_to_kernel(**params) for params in json.load(f)\n ]\n print(f\"Reading parameters to autotune from {blocksizes}\")\n triples = [(k.m, k.n, k.k) for k in all_kernels_ref if k.autotuned]\n else:\n assert len(set(blocksizes)) == len(blocksizes)\n blocksizes.sort()\n # Get (m, n, k) triplets to be autotuned\n triples = combinations(*blocksizes)\n print(f\"Requested to autotune {len(triples)} triplets\")\n\n for m, n, k in triples:\n existing = [kern for kern in autotuned_kernels if kern.can_handle(m, n, k)]\n if existing:\n print(\n \"Found existing autotuned parameter set for %dx%dx%d, skipping.\"\n % (m, n, k)\n )\n continue\n\n outdir = tune_dir / f\"tune_{int(m)}x{int(n)}x{int(k)}\"\n if outdir.exists():\n print(f\"Directory {outdir} exists already, skipping.\")\n continue\n outdir.mkdir()\n gen_benchmark(outdir, gpu_properties, autotuning_properties, compiler, m, n, k)\n gen_jobfile(outdir, compiler, m, n, k, cpus_per_task, max_num_nodes)\n gen_makefile(outdir, compiler, arch_code)\n\n\n# ===============================================================================\ndef format_params(params):\n output = []\n order = [\n \"m\",\n \"n\",\n \"k\",\n \"tile_m\",\n \"tile_n\",\n \"w\",\n \"v\",\n \"split_thread\",\n \"threads\",\n \"blockdim\",\n \"grouping\",\n ]\n for k in order:\n if k in params.keys():\n output.append(f\"{k}={int(params[k])}\")\n\n for k in params.keys():\n if k not in order:\n output.append(f\"{k}={int(params[k])}\")\n\n return f\"({', '.join(output)})\"\n\n\ndef get_file_extension_from_compiler(compiler):\n return \".cu\" if compiler == \"nvcc\" else \".cpp\"\n\n\n# ===============================================================================\ndef gen_benchmark(outdir, gpu_properties, autotuning_properties, compiler, m, n, k):\n includes = []\n launcher_codes = []\n launchers = []\n kernel_descr = []\n indent = \" \"\n file_extension = get_file_extension_from_compiler(compiler)\n\n # Get the kernel algorithms compatible with the given size:\n compatible_kernels = [\n kernclass\n for classname, kernclass in kernel_algorithm.items()\n if compatible_mnk(classname, m, n, k)\n ]\n\n # Get the parameter sets to measure for this (m,n,k)\n for kernclass in compatible_kernels:\n params = kernclass.promising_parameters(\n m, n, k, gpu_properties, autotuning_properties\n )\n if params == 0:\n continue\n\n for p in params:\n kern = kernclass(**p, source=\"autotuning_candidate\", perf=0)\n includes.append(f\"../../kernels/{kern.include}\")\n launcher_codes.append(kern.launcher_code(compiler))\n launchers.append(f\"launch_{kern.name}\")\n kernel_descr.append(kernclass.__name__ + format_params(p))\n\n print(f\"Found {len(launchers)} parameter sets for {int(m)}x{int(n)}x{int(k)}\")\n if len(launchers) == 0:\n return\n\n # Compose the \"include\" line of the benchmark code\n incl_output = '#include \"../../kernels/smm_acc_common.h\"\\n'\n for i in set(includes):\n incl_output += f'#include \"{i}\"\\n'\n incl_output += \"\\n\\n\"\n\n # Compose the benchmark code\n # The benchmark is broken down in\n # - n_exe_files executables\n # - each executable is made of n_obj_files object files\n # - each object file is made up of launchers_per_obj launchers\n # - each launcher launches 1 GPU kernel with a certain set of kernel parameters\n max_launchers_per_exe = 10000\n launchers_per_obj = 100\n n_exe_files = int(len(launcher_codes) / max_launchers_per_exe) + 1\n launchers_per_exe = int(len(launcher_codes) / n_exe_files) + 1\n\n # Compose source code for each executable file\n for i in range(n_exe_files):\n chunk_a = i * launchers_per_exe\n chunk_b = min((i + 1) * launchers_per_exe, len(launcher_codes))\n n_obj_files = math.ceil((chunk_b - chunk_a) / launchers_per_obj)\n\n if n_obj_files == 0:\n continue\n jdigits = int(math.log10(n_obj_files)) + 1\n\n # Compose source code for each object file\n for j in range(n_obj_files):\n a = chunk_a + j * launchers_per_obj\n b = min(chunk_a + (j + 1) * launchers_per_obj, chunk_b)\n output = incl_output\n output += \"\\n\\n\".join(launcher_codes[a:b])\n fn = outdir / f\"tune_{m}x{n}x{k}_exe{i}_part{j:0{jdigits}}{file_extension}\"\n writefile(fn, output)\n\n # Compose source code for \"main\" of executable file\n output = '#include \"../../libsmm_acc_benchmark.h\"\\n\\n'\n for j in range(chunk_b - chunk_a):\n output += (\n f\"int {launchers[chunk_a + j]}(const int *param_stack, int stack_size, \"\n )\n if compiler == \"nvcc\":\n output += \"cudaStream_t stream, \"\n else:\n output += \"hipStream_t stream, \"\n output += (\n \"int m_max, int n_max, int k_max,\"\n + \" const double *a_data, const double *b_data, double *c_data);\\n\"\n )\n\n output += \"\\n\"\n output += \"int main(int argc, char** argv) {\\n\"\n if compiler == \"nvcc\":\n output += (\n indent\n + \"cudaError_t err = cudaDeviceSetSharedMemConfig(cudaSharedMemBankSizeEightByte);\\n\"\n )\n output += f\"{indent}if(err != cudaSuccess) return(-1);\\n\"\n else: # i.e. compiler = hipcc\n output += (\n indent\n + \"hipError_t err = hipDeviceSetSharedMemConfig(hipSharedMemBankSizeEightByte);\\n\"\n )\n output += f\"{indent}if(err != hipSuccess) return(-1);\\n\"\n output += f\"{indent}libsmm_acc_benchmark_t* handle;\\n\"\n output += f\"{indent}KernelLauncher launchers[{int(chunk_b - chunk_a)}];\\n\"\n output += f\"{indent}char *kernel_descr[{int(chunk_b - chunk_a)}];\\n\"\n\n for j in range(chunk_b - chunk_a):\n output += f\"{indent}launchers[{int(j)}] = {launchers[chunk_a + j]};\\n\"\n output += indent + 'kernel_descr[%d] = (char *) \"%s\";\\n' % (\n j,\n kernel_descr[chunk_a + j],\n )\n output += indent + \"libsmm_acc_benchmark_init(&handle, tune, %d, %d, %d);\\n\" % (\n m,\n n,\n k,\n )\n output += (\n indent\n + \"int result = libsmm_acc_benchmark(handle, %d, %d, %d, %d, launchers, kernel_descr);\\n\"\n % (m, n, k, chunk_b - chunk_a)\n )\n output += f\"{indent}libsmm_acc_benchmark_finalize(handle);\\n\"\n output += f\"{indent}return result;\"\n output += \"}\\n\"\n\n fn = (\n outdir / f\"tune_{int(m)}x{int(n)}x{int(k)}_exe{int(i)}_main{file_extension}\"\n )\n writefile(fn, output)\n\n\n# ===============================================================================\ndef gen_jobfile(outdir, compiler, m, n, k, cpus_per_task, max_num_nodes=0):\n file_extension = get_file_extension_from_compiler(compiler)\n\n tprefix = f\"tune_{int(m)}x{int(n)}x{int(k)}\"\n all_exe_src = [fn.name for fn in outdir.glob(f\"{tprefix}_*_main{file_extension}\")]\n all_exe = sorted([fn.replace(f\"_main{file_extension}\", \"\") for fn in all_exe_src])\n if max_num_nodes > 0:\n num_nodes = min(len(all_exe), max_num_nodes)\n else:\n num_nodes = len(all_exe)\n time = \"00:40:00\"\n\n output = f\"\"\"\\\n#!/bin/bash -l\n#SBATCH --nodes={int(num_nodes)}\n#SBATCH --exclusive\n#SBATCH --ntasks-per-core=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --cpus-per-task={int(cpus_per_task)}\n#SBATCH --time={time}\n#SBATCH --account=jiek61\n#SBATCH --partition=dc-gpu\n#SBATCH --cuda-mps\n#SBATCH --gres=gpu:4\nmodule purge\nmodule add GCC/11.3.0\nmodule add ParaStationMPI/5.8.0-1-mt\nmodule add CUDA/11.7\nmodule list\nnvidia-smi\nt1=$(date +%s)\n\"\"\"\n # Compilation\n num_nodes_busy = 0\n for exe in all_exe:\n output += (\n f\"srun --nodes=1 --ntasks=1 --ntasks-per-node=1\"\n f\" --cpus-per-task={cpus_per_task} --exact make -j {cpus_per_task} {exe} &\\n\"\n )\n num_nodes_busy += 1\n if num_nodes_busy == num_nodes:\n output += \"wait\\n\"\n num_nodes_busy = 0\n\n output += \"wait\\n\"\n output += \"t2=$(date +%s)\\n\"\n output += \"echo $((t2-t1)) seconds for compilation step\\n\\n\"\n\n # Execution\n output += \"t1=$(date +%s)\\n\"\n for exe in all_exe:\n output += (\n f\"srun --nodes=1 --ntasks=1 --ntasks-per-node=1\"\n f\" --cpus-per-task=1 --exact ./{exe} > {exe}.log 2>&1 & \\n\"\n )\n num_nodes_busy += 1\n if num_nodes_busy == num_nodes:\n output += \"wait\\n\"\n num_nodes_busy = 0\n\n output += \"wait\\n\"\n output += \"t2=$(date +%s)\\n\"\n output += \"echo $((t2-t1)) seconds for execution step\\n\\n\"\n\n # Winner\n output += \"echo Over all winner:\\n\"\n output += f\"grep WINNER {tprefix}_exe*.log | sort -n --field-separator='#' -k 2 | tail -n 1\\n\\n\"\n\n # Cleaning\n output += \"make realclean\\n\"\n\n fn = outdir / f\"{tprefix}.job\"\n writefile(fn, output)\n\n\n# ===============================================================================\ndef gen_makefile(outdir, compiler, arch):\n file_extension = get_file_extension_from_compiler(compiler)\n\n # header\n output = \".SECONDARY:\\n\"\n output += f\"vpath %{file_extension}../\\n\\n\"\n output += \".PHONY: do_nothing build_all clean realclean\\n\\n\"\n output += \"do_nothing:\\n\\n\"\n output += \"clean:\\n\"\n output += \"\trm -f *.o\\n\\n\"\n output += \"realclean: clean\\n\"\n output += \"\trm -f *.cu\\n\\n\"\n\n # target \"build_all\"\n all_exe_src = sorted(\n [fn.name for fn in outdir.glob(f\"tune_*_main{file_extension}\")]\n )\n build_targets = [fn.replace(f\"_main{file_extension}\", \"\") for fn in all_exe_src]\n output += f\"build_all: {' '.join(build_targets)}\\n\\n\"\n\n # compilation rule for helper-files: libsmm_acc_benchmark, acc_cuda/hip\n output += \"libsmm_acc_benchmark.o : ../../libsmm_acc_benchmark.cpp\\n\"\n output += \"acc.o :\"\n if compiler == \"nvcc\":\n output += \" ../../../cuda/acc_cuda.cpp\\n\\n\"\n else:\n output += \" ../../../hip/acc_hip.cpp\\n\\n\"\n\n output += \"libsmm_acc_benchmark.o acc.o :\\n\"\n if compiler == \"nvcc\":\n output += (\n \"\\tnvcc -O3 -D__TUNING -D__CUDA -arch=\"\n + str(arch)\n + \" -w -c -o $@ -std=c++11 $<\\n\\n\"\n )\n else:\n output += (\n \"\\thipcc -O3 -D__TUNING -D__HIP -w -munsafe-fp-atomics -c -o $@ $<\\n\\n\"\n )\n\n # compilation rule for kernel files\n headers = \" \".join([f\"../{fn}\" for fn in Path(\"../kernels\").glob(\"*.h\")])\n output += f\"%.o : %{file_extension} {headers}\\n\"\n if compiler == \"nvcc\":\n output += f\"\tnvcc -O3 -D__TUNING -D__CUDA -arch={str(arch)} -w -c $<\\n\\n\"\n else:\n output += \"\\thipcc -O3 -D__TUNING -D__HIP -w -munsafe-fp-atomics -c $<\\n\\n\"\n\n # compilation rule for autotuning executables\n for exe_src in all_exe_src:\n parts = sorted(\n [\n fn.name\n for fn in outdir.glob(\n exe_src.replace(f\"_main{file_extension}\", \"_part*\")\n )\n ]\n )\n deps = [exe_src, \"libsmm_acc_benchmark.cpp\", \"acc.cpp\"] + parts\n deps_obj = \" \".join(\n [fn.replace(\".cu\", \".o\").replace(\".cpp\", \".o\") for fn in deps]\n )\n exe = exe_src.replace(f\"_main{file_extension}\", \"\")\n output += f\"{exe} : {deps_obj}\\n\"\n if compiler == \"nvcc\":\n output += (\n f\"\tnvcc -O3 -D__CUDA -arch={str(arch)} -w -o $@ $^ -lcuda -lnvrtc\\n\\n\"\n )\n else:\n rocm_path = os.getenv(\"ROCM_PATH\", \"/opt/rocm\")\n output += f\"\\thipcc -O3 -D__HIP -w -munsafe-fp-atomics -o $@ $^ {rocm_path}/hip/lib/libamdhip64.so\\n\\n\"\n\n # write Makefile\n writefile(outdir / \"Makefile\", output)\n\n\n# ===============================================================================\ndef gen_collect(outdir: Path, triples):\n output = \"#!/bin/bash\\n\"\n for m, n, k in triples:\n output += f\"grep WINNER tune_{int(m)}x{int(n)}x{int(k)}_exe*.log | sort -n --field-separator='#' -k 2 | tail -n 1\\n\"\n output += \"#EOF\\n\"\n fn = outdir / \"collect_winners.sh\"\n writefile(fn, output)\n fn.chmod(fn.stat().st_mode | stat.S_IEXEC)\n\n\n# ===============================================================================\ndef writefile(fn: Path, content):\n if fn.exists() and fn.read_text() == content:\n return\n\n fn.write_text(content)\n\n\n# ===============================================================================\ndef combinations(*sizes):\n return list(product(sizes, sizes, sizes))\n\n\n# ===============================================================================\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(\n description=\"\"\"\n Set up the autotuning of specified blocksizes. This script produces folders (tune_*x*x*)\n containing the code, Makefile and jobfiles for the autotuning of a given (m, n, k)-triplet.\n\n This script is part of the workflow for autotuning optimal libsmm_acc parameters.\n For more details, see README.md.\n \"\"\",\n formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n )\n parser.add_argument(\n \"-p\",\n \"--params\",\n metavar=\"parameters_GPU.json\",\n default=\"../parameters/parameters_P100.json\",\n type=Path,\n help=\"Parameter file that this autotuning should extend (pick the right GPU)\",\n )\n parser.add_argument(\n \"-b\",\n \"--compiler\",\n metavar=\"compiler\",\n default=\"nvcc\",\n help=\"Compiler to use for compiling kernel code (Options: nvcc, hipcc)\",\n )\n parser.add_argument(\n \"-c\",\n \"--cpus_per_task\",\n metavar=\"INT\",\n default=128,\n type=int,\n help=\"Number of CPUs required per task\",\n )\n parser.add_argument(\n \"-n\",\n \"--nodes\",\n metavar=\"INT\",\n default=1,\n type=int,\n help=\"Maximum number of nodes an slurm allocation can get. 0: not a limiting factor\"\n + \"(choose this option if you can allocate jobs of 20-30 nodes without a problem.\",\n )\n parser.add_argument(\n \"blocksizes\",\n metavar=\"BLOCKSIZE\",\n nargs=\"+\",\n type=str,\n help='Blocksize(s) to autotune. They can be provided as a list of integers (eg. \"23\",'\n + ' \"4 5 13\", \"32 45\") or provide a parameter file from which to read the blocksizes '\n + \"to autotune, of the format parameters_GPU.json.\",\n )\n\n args = parser.parse_args()\n\n # ==========\n # Verify option choice validity\n valid_compilers = [\"nvcc\", \"hipcc\"]\n assert (\n args.compiler in valid_compilers\n ), f\"Compiler chosen ({args.compiler}) is not valid, please choose among: {valid_compilers}\"\n\n # ==========\n # Blocksizes from parameter file or as list of integers\n blocksizes_from_param_file = False\n if args.blocksizes[0].isdigit(): # blocksizes is a sequence of strings\n args.blocksizes = [int(b) for b in args.blocksizes]\n else: # blocksizes is a file name\n blocksizes_from_param_file = True\n args.blocksizes = args.blocksizes[0]\n\n # ==========\n main(\n args.params,\n args.compiler,\n args.cpus_per_task,\n args.nodes,\n args.blocksizes,\n blocksizes_from_param_file,\n Path(\".\"),\n )\n" }, { "path": "src/acc/libsmm_acc/tune/tune_submit.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport os\nimport argparse\n\nfrom subprocess import check_call, check_output\nfrom pathlib import Path\n\n\ndef tune_sort_key(path: Path):\n try:\n _, triple = path.name.split(\"_\")\n m, n, k = triple.split(\"x\")\n except ValueError:\n return (0, 0, 0) # sort non-matching dirs as they come at the beginning\n\n return (int(m), int(n), int(k))\n\n\n# ===============================================================================\ndef main(submit_jobs, num_jobs, tune_dir: Path, sbatch_args):\n cmd = [\"squeue\", \"--user\", os.environ[\"USER\"], \"--format=%j\", \"--nohead\"]\n submitted = check_output(cmd, encoding=\"utf-8\")\n\n n_submits = 0\n for dir in sorted(tune_dir.glob(\"tune_*\"), key=tune_sort_key):\n if not dir.is_dir():\n continue\n\n if list(dir.glob(\"slurm-*.out\")):\n print(f\"{dir.name:20}: Found slurm file(s)\")\n continue\n\n if dir.name in submitted:\n print(f\"{dir.name:20}: Found submitted job\")\n continue\n\n n_submits += 1\n if submit_jobs:\n print(f\"{dir.name:20}: Submitting\")\n check_call(f\"cd {dir}; sbatch {sbatch_args} *.job\", shell=True)\n else:\n jobfiles = list(dir.glob(\"*.job\"))\n if len(jobfiles) == 1:\n print(f'{dir.name:20}: Would submit, run with \"doit!\"')\n elif len(jobfiles) == 0:\n print(\n f\"{dir.name:20}: Cannot find jobfile, delete this folder and re-create with tune_setup.py\"\n )\n else:\n print(\n f\"{dir.name:20}: Found multiple jobfiles, delete this folder and re-create with tune_setup.py\"\n )\n\n if num_jobs > 0:\n if n_submits >= num_jobs:\n break\n\n print(f\"Number of jobs submitted: {n_submits}\")\n\n\n# ===============================================================================\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(\n description=\"\"\"\n Submit autotuning jobs: Each tune-directory contains a job file. Since there might be many tune-directories, the\n convenience script tune_submit.py can be used. It will go through all the tune_*-directories and check if it has\n already been submitted or run. For this the script calls squeue in the background and it searches for\n slurm-*.out files.\n\n This script is part of the workflow for autotuning optimal libsmm_acc parameters.\n For more details, see README.md.\n \"\"\",\n formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n )\n parser.add_argument(\"doit\", metavar=\"doit!\", nargs=\"?\", type=str)\n parser.add_argument(\n \"-j\",\n \"--num_jobs\",\n metavar=\"INT\",\n default=0,\n type=int,\n help=\"Maximum number of jobs to submit. 0: submit all\",\n )\n parser.add_argument(\n \"-d\",\n \"--dir\",\n metavar=\"tune_directory\",\n default=\".\",\n type=Path,\n help=\"Path from which to read already-existing tune-folders and write new tune-folders\",\n )\n parser.add_argument(\n \"--sbatch-args\",\n metavar=\"sbatch_args\",\n default=\"\",\n type=str,\n help=\"Additional arguments passed to sbatch\",\n )\n\n args = parser.parse_args()\n submit_jobs = True if args.doit == \"doit!\" else False\n main(submit_jobs, args.num_jobs, args.dir, args.sbatch_args)\n" }, { "path": "src/acc/opencl/Makefile", "content": "MAKDIR := $(subst //,,$(dir $(firstword $(MAKEFILE_LIST)))/)\nACCDIR := $(MAKDIR)/..\nINCACC := $(wildcard $(MAKDIR)/*.h*) $(ACCDIR)/acc.h\nSRCACC := $(wildcard $(MAKDIR)/*.c)\nOBJACC := $(SRCACC:.c=.o)\n\nINCSMM := $(wildcard $(MAKDIR)/smm/*.h*) \\\n $(MAKDIR)/smm/opencl_kernels.h \\\n $(ACCDIR)/acc_libsmm.h \\\n $(ACCDIR)/acc_bench.h \\\n $(NULL)\nSRCSMM := $(wildcard $(MAKDIR)/smm/*.c)\nOBJSMM := $(SRCSMM:.c=.o)\nKERNEL := $(wildcard $(MAKDIR)/smm/kernels/*.cl)\n\nINCALL := $(INCACC) $(INCSMM)\n\nLIBXSMMROOT := $(wildcard $(ACCDIR)/../../../../../libxsmm)\nifeq (,$(LIBXSMMROOT))\n LIBXSMMROOT := $(wildcard $(HOME)/libxsmm)\nendif\nUNAME := $(shell uname)\nHEADERONLY ?= 0\nSTATIC ?= 1\nDEV ?= 0\n\n# Kind of Clang/GCC based analysis:\n# leak, address, undefined, thread\nSANITIZE ?= $(NULL)\n\n# Intel Compiler\nICX := $(shell which icx 2>/dev/null)\nINTEL ?= $(if $(ICX),$(if $(filter-out 0,$(GNU)),0,2),0)\n\n# select from set of predefined triplet specifications\nSPECID ?= 0\n# limit shape in tests (zero or negative for unlimited)\nMAXEXT ?= 48\n# number of tests (zero or negative for unlimited)\nNSMMS ?= 10\n\nCOMMAND := $(shell which command 2>/dev/null)\nifneq (,$(COMMAND))\n which = $(shell $(COMMAND) -v $1)\nelse\n which = $(shell which $(firstword $1) 2>/dev/null)\nendif\n\nWITH_GPU := $(if $(WITH_GPU),$(WITH_GPU),$(GPUVER))\nPARAMS_WITHGPU := $(MAKDIR)/smm/params/tune_multiply_$(WITH_GPU).csv\nPARAMS_DEFAULT := $(MAKDIR)/smm/tune_multiply.csv\nPARAMS := $(if $(wildcard $(PARAMS_WITHGPU)),$(PARAMS_WITHGPU),$(wildcard $(PARAMS_DEFAULT)))\n\n#PARAMDIR ?= $(MAKDIR)/smm/params\nifeq (,$(PARAMS))\nifneq (,$(wildcard $(PARAMDIR)))\n WITH_GPUS := $(shell ls -1 $(PARAMDIR)/*.csv | cut -d. -f1 | rev | cut -d_ -f1 | rev)\nendif\nendif\n\nCFLAGS := -fPIC \\\n -Wall -Wextra -Wcast-qual \\\n -Wno-overlength-strings \\\n -Wno-variadic-macros \\\n -Wno-unused-function \\\n -Wno-long-long \\\n -D__OPENCL \\\n $(NULL)\n\nifneq (,$(ELEM_TYPE))\n CFLAGS += -DELEM_TYPE=$(ELEM_TYPE)\nendif\n\nUSM ?= 0\nifneq (0,$(USM))\n CFLAGS += -D__OFFLOAD_UNIFIED_MEMORY\nendif\n\nifneq (0,$(INTEL))\n ifneq (1,$(INTEL))\n CXX := icpx\n CC := icx\n else\n CXX := icpc\n CC := icc\n endif\n AR := $(if $(call which,xiar),xiar,ar)\nelse\n CXX := g++\n CC := gcc\n ifneq (Darwin,$(UNAME))\n AR := gcc-ar\n else\n AR := ar\n endif\nendif\n\nifneq (0,$(DEV))\n ifeq (1,$(DEV))\n CFLAGS += -std=c89\n CFLAGS += -Wno-unused-parameter\n else\n # DEV=2 (and higher): linking is not intended\n CFLAGS += -D__DBCSR_ACC\n CFLAGS += -Wno-gnu-zero-variadic-macro-arguments\n CFLAGS += -Wno-deprecated\n CFLAGS += -Werror\n ifneq (2,$(DEV))\n ifneq (,$(findstring clang,$(CC) $(CXX)))\n override CC := clang++ --analyze\n else\n override CC := $(CXX) -xc++\n endif\n else\n override CC := $(CXX) -xc++\n endif\n $(info CC: $(shell $(CC) --version | head -n1))\n OMP := 0\n endif\n CFLAGS += -pedantic\n#else\n #CFLAGS += -std=c99\nendif\n\nifneq (,$(SANITIZE))\n CXXFLAGS += -fsanitize=$(SANITIZE)\n CFLAGS += -fsanitize=$(SANITIZE)\n FCFLAGS += -fsanitize=$(SANITIZE)\n LDFLAGS += -fsanitize=$(SANITIZE)\n SYM = 1\nendif\n\nifneq (0,$(DBG))\n CPP_OPENCL_FLAGS += -C\n ifeq (,$(DBG))\n CFLAGS += -O2 -DNDEBUG\n else\n ifneq (1,$(DBG))\n CFLAGS += -D_DEBUG\n endif\n CFLAGS += -O0\n endif\nelse\n CFLAGS += -O2 -DNDEBUG\n SYM ?= 0\nendif\nifneq (0,$(SYM))\n CFLAGS += -g\nendif\n\nifneq (0,$(OMP))\n ifneq (0,$(INTEL))\n CFLAGS += -qopenmp\n LDFLAGS += -qopenmp\n else ifneq (Darwin,$(UNAME))\n CFLAGS += -fopenmp\n LDFLAGS += -fopenmp\n else # macOS\n CFLAGS += -Xpreprocessor -fopenmp\n LDFLAGS += -lomp\n endif\nendif\n\nifneq (,$(LIBXSMMROOT))\n ifneq (0,$(STATIC))\n ifeq (0,$(HEADERONLY))\n ifneq (0,$(OMP))\n LDFLAGS += $(LIBXSMMROOT)/lib/libxsmmext.a\n endif\n LDFLAGS += $(LIBXSMMROOT)/lib/libxsmm.a\n else\n CFLAGS_XSMM += -DLIBXSMM_DEFAULT_CONFIG\n endif\n LDFLAGS += $(LIBXSMMROOT)/lib/libxsmmnoblas.a\n else\n LDFLAGS += -L$(LIBXSMMROOT)/lib\n ifneq (Darwin,$(UNAME))\n LDFLAGS += -Wl,-rpath=$(LIBXSMMROOT)/lib\n endif\n ifneq (0,$(OMP))\n LDFLAGS += -lxsmmext\n endif\n LDFLAGS += -lxsmm -lxsmmnoblas\n endif\n CFLAGS_XSMM += -pthread -D__LIBXSMM -I$(LIBXSMMROOT)/include\n LDFLAGS += -pthread -ldl -lm\nendif\n\nifeq (Darwin,$(UNAME))\n LDFLAGS += -framework OpenCL\nelse\n OPENCL_LIB := $(shell ldconfig -p 2>/dev/null | grep -m1 OpenCL | rev | cut -d' ' -f1 | rev)\n ifeq (,$(OPENCL_LIB))\n OPENCL_LIB := $(wildcard /usr/lib/x86_64-linux-gnu/libOpenCL.so.1)\n endif\n ifeq (,$(CUDATOOLKIT_HOME))\n CUDATOOLKIT_HOME := $(NVSDKCOMPUTE_ROOT)\n endif\n ifeq (,$(CUDATOOLKIT_HOME))\n NVCC := $(call which,nvcc)\n CUDATOOLKIT_HOME := $(if $(NVCC),$(abspath $(dir $(NVCC))/..))\n endif\n ifneq (,$(CUDATOOLKIT_HOME))\n CUDA_LIBDIR := $(if $(wildcard $(CUDATOOLKIT_HOME)/lib64),lib64,lib)\n ifeq (,$(wildcard $(OPENCL_INC)))\n CLINC := $(lastword $(sort $(wildcard $(CUDATOOLKIT_HOME)/../cuda/*/targets/x86_64-linux/include/CL/cl.h)))\n OPENCL_INC := $(if $(CLINC),$(abspath $(dir $(CLINC))/..),$(CUDATOOLKIT_HOME)/include)\n endif\n ifeq (,$(wildcard $(OPENCL_LIB)))\n LDFLAGS += -L$(CUDATOOLKIT_HOME)/$(CUDA_LIBDIR)\n LDFLAGS += -Wl,-rpath=$(CUDATOOLKIT_HOME)/$(CUDA_LIBDIR)\n endif\n else ifeq (,$(OPENCL_INC))\n ifneq (,$(wildcard $(OPENCL_ROOT)/include/CL/cl.h))\n LDFLAGS += -L$(OPENCL_ROOT)/$(if $(wildcard $(OPENCL_ROOT)/lib64),lib64,lib)\n OPENCL_INC := $(OPENCL_ROOT)/include\n else ifneq (,$(ICX))\n OPENCL_ROOT := $(abspath $(dir $(ICX))/..)\n CLINC := $(wildcard $(OPENCL_ROOT)/include/sycl/CL/cl.h $(OPENCL_ROOT)/include/CL/cl.h)\n ifneq (,$(CLINC))\n LDFLAGS += -L$(OPENCL_ROOT)/$(if $(wildcard $(OPENCL_ROOT)/lib64),lib64,lib)\n LDFLAGS += -L$(OPENCL_ROOT)/compiler/lib/intel64 -lintlc\n OPENCL_INC := $(abspath $(dir $(firstword $(CLINC)))/..)\n endif\n endif\n endif\n # OPENCL_INC: directory containing CL/cl.h.\n ifneq (,$(wildcard $(OPENCL_INC)))\n CFLAGS += -I$(OPENCL_INC)\n endif\n # OPENCL_LIB: file/library to be linked\n ifneq (,$(wildcard $(OPENCL_LIB)))\n LDFLAGS += $(OPENCL_LIB)\n else\n LDFLAGS += -l:libOpenCL.so.1\n endif\nendif\n\n# Collect all paths in LD_LIBRARY_PATH and LD_LIBRARY_PATH/stubs, and append to LDFLAGS\nLD_LIBRARY_DIRS := $(wildcard $(subst :, ,$(LD_LIBRARY_PATH)))\nLD_LIBSTUB_PATH := $(wildcard $(patsubst %,%/stubs,$(LD_LIBRARY_DIRS)))\nLIBPATHS := $(foreach DIR,$(LD_LIBRARY_DIRS),$(if $(filter -L$(DIR),$(LDFLAGS)),$(NULL),-L$(DIR)))\nLIBSTUBS := $(foreach DIR,$(LD_LIBSTUB_PATH),$(if $(filter -L$(DIR),$(LDFLAGS)),$(NULL),-L$(DIR)))\nLDFLAGS += $(LIBPATHS) $(LIBSTUBS)\n\n.PHONY: bench\nbench: $(ACCDIR)/acc_bench\n\n.PHONY: all\nall: bench $(ACCDIR)/dbcsr_acc_test\n\n.PHONY: test\ntest: test-interface test-smm\n\n.PHONY: test-interface\ntest-interface: $(ACCDIR)/dbcsr_acc_test\n\t@echo \"--- DBCSR Backend Interface\"\n\t$(ACCDIR)/dbcsr_acc_test\n\n$(MAKDIR)/test-smm.log: bench\n\t$(eval SHAPES = $(shell $(ACCDIR)/acc_triplets.sh -k $(SPECID) -m $(MAXEXT) -n $(NSMMS)))\n\t$(eval DEVICE = \"$(shell LIBXSMM_VERBOSE=0 ACC_OPENCL_VERBOSE=1 CHECK=0 $(ACCDIR)/acc_bench 1 1 1 2>&1 >/dev/null)\")\n\t$(eval WITH_GPU = $(firstword $(foreach GPU,$(WITH_GPUS),$(findstring $(GPU),$(DEVICE)))))\n\t$(eval PARAMS = $(firstword $(wildcard $(PARAMDIR)/tune_multiply_$(WITH_GPU).csv)))\n\t$(eval GPUENV = $(if $(OPENCL_LIBSMM_SMM_PARAMS),$(NULL),$(if $(PARAMS),OPENCL_LIBSMM_SMM_PARAMS=$(PARAMS))))\n\t@echo \"--- DBCSR OpenCL SMMs ($(words $(SHAPES)))\"\n\t@echo \"$(DEVICE)\"\n\t@if [ \"$(GPUENV)\" ]; then echo \"$(GPUENV)\"; fi\n\t@echo \"LD_LIBRARY_PATH=${LD_LIBRARY_PATH}\"\nifneq (,$(LD_PRELOAD))\n\t@echo \"LD_PRELOAD=${LD_PRELOAD}\"\nendif\n\t@echo \"CC: $$($(CC) --version | head -n1)\"\n\t@echo \"runtime libraries:\"\n\t@ldd $(ACCDIR)/acc_bench\n\t@echo \"hostname: $$(hostname)\"\n\t@echo\n\t@echo \"$(SHAPES)\" | xargs -n1 | ($(GPUENV) CHECK=$(if $(CHECK),$(CHECK),1) stdbuf --output=L \\\n\t\t$(ACCDIR)/acc_bench /dev/stdin 2>$(MAKDIR)/test-smm.err && rm $(MAKDIR)/test-smm.err) | tee $@\n\n.PHONY: test-smm\ntest-smm: $(MAKDIR)/test-smm.log\nifneq (,$(call which,datamash))\nifeq (,$(shell datamash geomean 2>&1 | grep invalid))\n\t@echo \"geomean: $$(sed -n \"/device:/p\" $< 2>/dev/null | datamash -W -R 1 geomean 4) GFLOPS/s\"\nendif\n\t@echo \"median: $$(sed -n \"/device:/p\" $< 2>/dev/null | datamash -W -R 1 median 4) GFLOPS/s\"\n\t@echo \"mean: $$(sed -n \"/device:/p\" $< 2>/dev/null | datamash -W -R 1 mean 4) GFLOPS/s\"\nendif\n\t@if [ -s $(MAKDIR)/test-smm.err ]; then \\\n\t\techo && cat $(MAKDIR)/test-smm.err; \\\n\t\tif [ \"0\" != \"$(if $(CHECK),$(CHECK),1)\" ]; then exit 1; fi; \\\n\tfi\n\n$(MAKDIR)/smm/opencl_kernels.h: $(MAKDIR)/acc_opencl.sh $(KERNEL) $(PARAMS)\n\tCPPFLAGS=$(CPP_OPENCL_FLAGS) $(MAKDIR)/acc_opencl.sh $(KERNEL) $(PARAMS) $@\n\n.PHONY: backend\nbackend: $(ACCDIR)/dbcsr_acc.a\n$(ACCDIR)/dbcsr_acc.a: $(OBJACC)\n\t$(AR) -rs $@ $^\n\n.PHONY: libsmm\nlibsmm: $(ACCDIR)/dbcsr_acc_smm.a\n$(ACCDIR)/dbcsr_acc_smm.a: $(OBJSMM)\n\t$(AR) -rs $@ $^\n\n%.o: %.c $(INCALL) $(MAKDIR)/Makefile\n\t$(CC) $(CFLAGS) $(CFLAGS_XSMM) -c $< -o $@\n\n$(MAKDIR)/acc_bench.o: $(ACCDIR)/acc_bench.c $(MAKDIR)/Makefile\nifneq (0,$(LIBXSMM))\n\t$(CC) $(CFLAGS) $(CFLAGS_XSMM) -c $< -o $@\nelse\n\t$(CC) $(CFLAGS) -c $< -o $@\nendif\n\n$(ACCDIR)/acc_bench: $(MAKDIR)/acc_bench.o $(ACCDIR)/dbcsr_acc_smm.a $(ACCDIR)/dbcsr_acc.a\nifneq (,$(filter 0 1,$(DEV)))\n\t$(CC) $^ $(LDFLAGS) -o $@\nelse\n.PHONY: $(ACCDIR)/acc_bench\nendif\n\n$(MAKDIR)/dbcsr_acc_test.o: $(ACCDIR)/../../tests/dbcsr_acc_test.c $(MAKDIR)/Makefile\n\t$(CC) $(CFLAGS) -I$(ACCDIR)/.. -c $< -o $@\n\n$(ACCDIR)/dbcsr_acc_test: $(MAKDIR)/dbcsr_acc_test.o $(ACCDIR)/dbcsr_acc.a\nifneq (,$(filter 0 1,$(DEV)))\n\t$(CC) $^ $(LDFLAGS) -o $@\nelse\n.PHONY: $(ACCDIR)/dbcsr_acc_test\nendif\n\n.PHONY: clean\nclean:\n\t@rm -f $(OBJACC) $(OBJSMM)\n\t@rm -f $(MAKDIR)/dbcsr_acc_test.o\n\t@rm -f $(MAKDIR)/acc_bench.o\n\t@rm -f $(MAKDIR)/smm/opencl_kernels.h\n\t@rm -f $(MAKDIR)/test-smm.err\n\n.PHONY: realclean\nrealclean: clean\n\t@rm -f $(ACCDIR)/dbcsr_acc.a $(ACCDIR)/dbcsr_acc_smm.a\n\t@rm -f $(ACCDIR)/acc_bench\n\t@rm -f $(ACCDIR)/dbcsr_acc_test\n\t@rm -f $(MAKDIR)/test-smm.log\n" }, { "path": "src/acc/opencl/PACKAGE", "content": "{\n\"description\": \"OpenCL backend for accelerator API\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"..\"]\n}\n" }, { "path": "src/acc/opencl/README.md", "content": "# Backend\n\nThe OpenCL backend implements the [ACC interface](https://github.com/cp2k/dbcsr/blob/develop/src/acc/acc.h), which is exposed in Fortran and used throughout DBCSR's code base to drive (GPU-)acceleration based on ACC's device enumeration, data movement, and synchronization functionality. By design, DBCSR activates one device per rank (process). For instance, multiple GPUs can be used by the means of multiple ranks per system or at least one rank per device. The LIBSMM library complements the backend and implements the [ACC LIBSMM interface](https://github.com/cp2k/dbcsr/blob/develop/src/acc/acc_libsmm.h).\n\nAll major GPU vendors support OpenCL even if the vendor-preferred programming model suggests otherwise. On Nvidia GPUs, the OpenCL backend can be used with CUDA based GPU-code in other portions of CP2K. The OpenCL based backend provides the following benefits:\n\n* Code portability between GPU vendors (if not performance portability). For instance, performance of the OpenCL backend matches the performance of the CUDA backend or exceeds it.\n* Acceptable performance for kernels not covered by specifically tuned parameters, and the ability to run on GPU if no tuned parameters are present.\n* Auto-tuning kernels within an acceptable time limit along with handy scripts to retune parameters and to carry forward an existing set (new GPU).\n\nRuntime settings are made by the means of environment variables. The OpenCL backend provides `acc_getenv.sh` to list all occurrences of `getenv` categorized into \"OpenCL Backend environment variables\" and \"OpenCL LIBSMM environment variables\". Common backend related settings are:\n\n* `ACC_OPENCL_DEVSPLIT`: integer enabling devices to be split into subdevices (non-zero/default: subdevices, zero: aggregated).\n* `ACC_OPENCL_DEVTYPE`: character string selecting \"cpu\", \"gpu\", \"all\" (unfiltered), or any other string (neither CPU or GPU).\n* `ACC_OPENCL_DEVICE`: non-negative integer number to select a device from the (internally enumerated) list of devices.\n* `ACC_OPENCL_VENDOR`: character string matching the vendor of the OpenCL device in a case-insensitive fashion, e.g., \"intel\".\n* `ACC_OPENCL_VERBOSE`: verbosity level (integer) with console output on `stderr`.\n * `ACC_OPENCL_VERBOSE=1`: outputs the number of devices found and the name of the selected device.\n * `ACC_OPENCL_VERBOSE=2`: outputs the duration needed to generate a requested kernel.\n * `ACC_OPENCL_VERBOSE=3`: outputs device-side performance of kernels (every launch profiled).\n* `ACC_OPENCL_DUMP`: dump preprocessed kernel source code (1) or dump compiled OpenCL kernels (2).\n * `ACC_OPENCL_DUMP=1`: dump preprocessed kernel source code and use it for JIT compilation. Instantiates the original source code using preprocessor definitions (`-D`) and collapses the code accordingly.\n * `ACC_OPENCL_DUMP=2`: dump compiled OpenCL kernels (depends on OpenCL implementation), e.g., PTX code on Nvidia.\n\nThe OpenCL backend enumerates and orders devices by kind, i.e., GPU, CPU, and \"other\" (primary criterion) and by memory capacity (secondary criterion). Device IDs are zero-based as defined by the ACC interface (and less than what is permitted by `acc_get_ndevices`).\n" }, { "path": "src/acc/opencl/acc_getenv.sh", "content": "#!/usr/bin/env bash\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: BSD-3-Clause #\n####################################################################################################\n\nFIND=$(command -v find)\nSORT=$(command -v sort)\nSED=$(command -v gsed)\n\n# GNU sed is desired (macOS)\nif [ ! \"${SED}\" ]; then\n SED=$(command -v sed)\nfi\n\nHERE=\"$(cd \"$(dirname \"$0\")\" && pwd -P)\"\nSRC=\"${HERE}\"\nEXT=\"c\"\n\nif [ \"${FIND}\" ] && [ \"${SORT}\" ] && [ \"${SED}\" ] && [ -d \"${SRC}\" ]; then\n export LC_ALL=C\n ENVARS=\"$(${FIND} \"${SRC}\" -type f -name \"*.${EXT}\" -exec \\\n \"${SED}\" \"s/getenv[[:space:]]*([[:space:]]*\\\".[^\\\"]*/\\n&/g\" {} \\; | \\\n \"${SED}\" -n \"s/.*getenv[[:space:]]*([[:space:]]*\\\"\\(.[^\\\"]*\\)..*/\\1/p\" | \\\n ${SORT} -u)\"\n OTHERS=$(echo \"${ENVARS}\" | ${SED} \"/ACC_OPENCL_/d;/OPENCL_LIBSMM_/d\")\n if [ \"${OTHERS}\" ]; then\n echo \"====================================\"\n echo \"Other environment variables\"\n echo \"====================================\"\n echo \"${ENVARS}\" | ${SED} \"/ACC_OPENCL_/d;/OPENCL_LIBSMM_/d\"\n fi\n echo \"====================================\"\n echo \"OpenCL Backend environment variables\"\n echo \"====================================\"\n echo \"${ENVARS}\" | ${SED} -n \"/ACC_OPENCL_/p\"\n echo \"====================================\"\n echo \"OpenCL LIBSMM environment variables\"\n echo \"====================================\"\n echo \"${ENVARS}\" | ${SED} -n \"/OPENCL_LIBSMM_/p\"\nelse\n >&2 echo \"Error: missing prerequisites!\"\n exit 1\nfi\n" }, { "path": "src/acc/opencl/acc_opencl.c", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#if defined(__OPENCL)\n# include \"acc_opencl.h\"\n# include \n# include \n# include \n# include \n# if defined(_WIN32)\n# include \n# include \n# else\n# include \n# include \n# include \n# endif\n# if defined(__DBCSR_ACC)\n# include \"../acc_libsmm.h\"\n# endif\n# include \n# include \n# if !defined(S_ISDIR) && defined(S_IFMT) && defined(S_IFDIR)\n# define S_ISDIR(A) ((S_IFMT & (A)) == S_IFDIR)\n# endif\n# if !defined(S_IREAD)\n# define S_IREAD S_IRUSR\n# endif\n# if !defined(S_IWRITE)\n# define S_IWRITE S_IWUSR\n# endif\n\n# if !defined(ACC_OPENCL_NLOCKS)\n# define ACC_OPENCL_NLOCKS 4\n# endif\n# if !defined(ACC_OPENCL_TEMPDIR) && 1\n# define ACC_OPENCL_TEMPDIR \"/tmp\"\n# endif\n# if !defined(ACC_OPENCL_CACHE_DID) && 1\n# define ACC_OPENCL_CACHE_DID\n# endif\n# if !defined(ACC_OPENCL_CACHE_DIR) && 0\n# define ACC_OPENCL_CACHE_DIR \".cl_cache\"\n# endif\n# if !defined(ACC_OPENCL_CPPBIN) && 1\n# define ACC_OPENCL_CPPBIN \"/usr/bin/cpp\"\n# endif\n# if !defined(ACC_OPENCL_SEDBIN) && 1\n# define ACC_OPENCL_SEDBIN \"/usr/bin/sed\"\n# endif\n/* disabled: let MPI runtime come up before */\n# if !defined(ACC_OPENCL_PREINIT) && 0\n# define ACC_OPENCL_PREINIT\n# endif\n/* attempt to enable command aggregation */\n# if !defined(ACC_OPENCL_CMDAGR) && 1\n# define ACC_OPENCL_CMDAGR\n# endif\n# if !defined(ACC_OPENCL_NCCS) && 1\n# define ACC_OPENCL_NCCS 0\n# endif\n\n\n# if defined(__cplusplus)\nextern \"C\" {\n# endif\n\nchar c_dbcsr_acc_opencl_locks[ACC_OPENCL_CACHELINE * ACC_OPENCL_NLOCKS];\n/* global configuration discovered during initialization */\nc_dbcsr_acc_opencl_config_t c_dbcsr_acc_opencl_config;\n\n# if defined(ACC_OPENCL_CACHE_DID)\nint c_dbcsr_acc_opencl_active_id;\n# endif\n\n\nvoid c_dbcsr_acc_opencl_notify(const char /*errinfo*/[], const void* /*private_info*/, size_t /*cb*/, void* /*user_data*/);\nvoid c_dbcsr_acc_opencl_notify(const char errinfo[], const void* private_info, size_t cb, void* user_data) {\n LIBXSMM_UNUSED(private_info);\n LIBXSMM_UNUSED(cb);\n LIBXSMM_UNUSED(user_data);\n fprintf(stderr, \"ERROR ACC/OpenCL: %s\\n\", errinfo);\n}\n\n\n/**\n * Comparator used with qsort; stabilized by tail condition (a < b ? -1 : 1).\n * Brings GPUs with local memory in front, followed by (potentially) integrated GPUs,\n * and further orders by memory capacity.\n */\nint c_dbcsr_acc_opencl_order_devices(const void* /*dev_a*/, const void* /*dev_b*/);\nint c_dbcsr_acc_opencl_order_devices(const void* dev_a, const void* dev_b) {\n const cl_device_id* const a = (const cl_device_id*)dev_a;\n const cl_device_id* const b = (const cl_device_id*)dev_b;\n cl_device_type type_a = 0, type_b = 0;\n assert(NULL != a && NULL != b && a != b);\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clGetDeviceInfo(*a, CL_DEVICE_TYPE, sizeof(cl_device_type), &type_a, NULL));\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clGetDeviceInfo(*b, CL_DEVICE_TYPE, sizeof(cl_device_type), &type_b, NULL));\n if (CL_DEVICE_TYPE_DEFAULT & type_a) {\n return -1;\n }\n else if (CL_DEVICE_TYPE_DEFAULT & type_b) {\n return 1;\n }\n else {\n if (CL_DEVICE_TYPE_GPU & type_a) {\n if (CL_DEVICE_TYPE_GPU & type_b) {\n int unified_a, unified_b;\n size_t size_a, size_b;\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_opencl_info_devmem(*a, NULL, &size_a, NULL, &unified_a));\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_opencl_info_devmem(*b, NULL, &size_b, NULL, &unified_b));\n if ((0 == unified_a && 0 == unified_b) || (0 != unified_a && 0 != unified_b)) {\n return (size_a < size_b ? 1 : (size_a != size_b ? -1 : (a < b ? -1 : 1)));\n }\n /* discrete GPU goes in front */\n else if (0 == unified_b) return 1;\n else return -1;\n }\n else return -1;\n }\n else if (CL_DEVICE_TYPE_GPU & type_b) {\n return 1;\n }\n else {\n if (CL_DEVICE_TYPE_CPU & type_a) {\n if (CL_DEVICE_TYPE_CPU & type_b) {\n size_t size_a, size_b;\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_opencl_info_devmem(*a, NULL, &size_a, NULL, NULL));\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_opencl_info_devmem(*b, NULL, &size_b, NULL, NULL));\n return (size_a < size_b ? 1 : (size_a != size_b ? -1 : (a < b ? -1 : 1)));\n }\n else return -1;\n }\n else if (CL_DEVICE_TYPE_CPU & type_b) {\n return 1;\n }\n else {\n size_t size_a = 0, size_b = 0;\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_opencl_info_devmem(*a, NULL, &size_a, NULL, NULL));\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_opencl_info_devmem(*b, NULL, &size_b, NULL, NULL));\n return (size_a < size_b ? 1 : (size_a != size_b ? -1 : (a < b ? -1 : 1)));\n }\n }\n }\n}\n\n\n/** Setup to run prior to touching OpenCL runtime. */\nvoid c_dbcsr_acc_opencl_configure(void);\nvoid c_dbcsr_acc_opencl_configure(void) {\n const char* const env_rank = (NULL != getenv(\"PMI_RANK\") ? getenv(\"PMI_RANK\") : getenv(\"OMPI_COMM_WORLD_LOCAL_RANK\"));\n const char* const env_nranks = getenv(\"MPI_LOCALNRANKS\"); /* TODO */\n const char *const env_devsplit = getenv(\"ACC_OPENCL_DEVSPLIT\"), *const env_nlocks = getenv(\"ACC_OPENCL_NLOCKS\");\n const char *const env_verbose = getenv(\"ACC_OPENCL_VERBOSE\"), *const env_dump_acc = getenv(\"ACC_OPENCL_DUMP\");\n const char *const env_debug = getenv(\"ACC_OPENCL_DEBUG\"), *const env_profile = getenv(\"ACC_OPENCL_PROFILE\");\n const char* const env_dump = (NULL != env_dump_acc ? env_dump_acc : getenv(\"IGC_ShaderDumpEnable\"));\n const char *const env_neo = getenv(\"NEOReadDebugKeys\"), *const env_wa = getenv(\"ACC_OPENCL_WA\");\n static char neo_enable_debug_keys[] = \"NEOReadDebugKeys=1\";\n# if defined(ACC_OPENCL_STREAM_PRIORITIES)\n const char* const env_priority = getenv(\"ACC_OPENCL_PRIORITY\");\n# endif\n# if defined(ACC_OPENCL_NCCS)\n const char* const env_nccs = getenv(\"ACC_OPENCL_NCCS\");\n const int nccs = (NULL == env_nccs ? ACC_OPENCL_NCCS : atoi(env_nccs));\n# endif\n# if defined(ACC_OPENCL_XHINTS)\n const char* const env_xhints = (ACC_OPENCL_XHINTS);\n const int xhints_default = 1 + 2 + 4 + 8 + 16;\n# else\n const char* const env_xhints = NULL;\n const int xhints_default = 0;\n# endif\n# if defined(ACC_OPENCL_ASYNC)\n const char* const env_async = (ACC_OPENCL_ASYNC);\n const int async_default = 1 + 2 + 4 + 8;\n# else\n const char* const env_async = NULL;\n const int async_default = 0;\n# endif\n const int nlocks = (NULL == env_nlocks ? 1 /*default*/ : atoi(env_nlocks));\n const int neo = (NULL == env_neo ? 1 : atoi(env_neo));\n int i;\n# if defined(_OPENMP)\n const int max_threads = omp_get_max_threads(), num_threads = omp_get_num_threads();\n memset(&c_dbcsr_acc_opencl_config, 0, sizeof(c_dbcsr_acc_opencl_config));\n c_dbcsr_acc_opencl_config.nthreads = (num_threads < max_threads ? max_threads : num_threads);\n# else\n memset(&c_dbcsr_acc_opencl_config, 0, sizeof(c_dbcsr_acc_opencl_config));\n c_dbcsr_acc_opencl_config.nthreads = 1;\n# endif\n assert(NULL == c_dbcsr_acc_opencl_config.lock_main); /* test condition to avoid initializing multiple times */\n libxsmm_init(); /* before using LIBXSMM's functionality */\n c_dbcsr_acc_opencl_config.nranks = LIBXSMM_MAX(NULL != env_nranks ? atoi(env_nranks) : 1, 1);\n c_dbcsr_acc_opencl_config.nrank = (NULL != env_rank ? atoi(env_rank) : 0) % c_dbcsr_acc_opencl_config.nranks;\n assert(sizeof(ACC_OPENCL_LOCKTYPE) <= ACC_OPENCL_CACHELINE);\n for (i = 0; i < ACC_OPENCL_NLOCKS; ++i) {\n ACC_OPENCL_INIT((ACC_OPENCL_LOCKTYPE*)(c_dbcsr_acc_opencl_locks + ACC_OPENCL_CACHELINE * i));\n }\n c_dbcsr_acc_opencl_config.lock_main = (ACC_OPENCL_LOCKTYPE*)c_dbcsr_acc_opencl_locks;\n c_dbcsr_acc_opencl_config.lock_memory = /* 2nd lock-domain */\n (1 < LIBXSMM_MIN(nlocks, ACC_OPENCL_NLOCKS) ? ((ACC_OPENCL_LOCKTYPE*)(c_dbcsr_acc_opencl_locks + ACC_OPENCL_CACHELINE * 1))\n : c_dbcsr_acc_opencl_config.lock_main);\n c_dbcsr_acc_opencl_config.lock_stream = /* 3rd lock-domain */\n (2 < LIBXSMM_MIN(nlocks, ACC_OPENCL_NLOCKS) ? ((ACC_OPENCL_LOCKTYPE*)(c_dbcsr_acc_opencl_locks + ACC_OPENCL_CACHELINE * 2))\n : c_dbcsr_acc_opencl_config.lock_main);\n c_dbcsr_acc_opencl_config.lock_event = /* 4th lock-domain */\n (3 < LIBXSMM_MIN(nlocks, ACC_OPENCL_NLOCKS) ? ((ACC_OPENCL_LOCKTYPE*)(c_dbcsr_acc_opencl_locks + ACC_OPENCL_CACHELINE * 3))\n : c_dbcsr_acc_opencl_config.lock_main);\n c_dbcsr_acc_opencl_config.verbosity = (NULL == env_verbose ? 0 : atoi(env_verbose));\n c_dbcsr_acc_opencl_config.devsplit = (NULL == env_devsplit ? (/*1 < c_dbcsr_acc_opencl_config.nranks ? -1 :*/ 0)\n : atoi(env_devsplit));\n# if defined(ACC_OPENCL_STREAM_PRIORITIES)\n c_dbcsr_acc_opencl_config.priority = (NULL == env_priority ? /*default*/ 3 : atoi(env_priority));\n# endif\n c_dbcsr_acc_opencl_config.profile = (NULL == env_profile ? /*default*/ 0 : atoi(env_profile));\n c_dbcsr_acc_opencl_config.xhints = (NULL == env_xhints ? xhints_default : atoi(env_xhints));\n c_dbcsr_acc_opencl_config.async = (NULL == env_async ? async_default : atoi(env_async));\n c_dbcsr_acc_opencl_config.dump = (NULL == env_dump ? /*default*/ 0 : atoi(env_dump));\n c_dbcsr_acc_opencl_config.debug = (NULL == env_debug ? c_dbcsr_acc_opencl_config.dump : atoi(env_debug));\n c_dbcsr_acc_opencl_config.wa = neo * (NULL == env_wa ? ((1 != c_dbcsr_acc_opencl_config.devsplit ? 0 : 1) + (2 + 4 + 8))\n : atoi(env_wa));\n# if defined(ACC_OPENCL_CACHE_DIR)\n { /* environment is populated before touching the compute runtime */\n const char *const env_cache = getenv(\"ACC_OPENCL_CACHE\"), *env_cachedir = getenv(\"NEO_CACHE_DIR\");\n int cache = (NULL == env_cache ? 0 : atoi(env_cache));\n struct stat cachedir;\n if (0 == cache) {\n if (stat(ACC_OPENCL_CACHE_DIR, &cachedir) == 0 && S_ISDIR(cachedir.st_mode)) cache = 1;\n else if (stat(ACC_OPENCL_TEMPDIR \"/\" ACC_OPENCL_CACHE_DIR, &cachedir) == 0 && S_ISDIR(cachedir.st_mode)) cache = 2;\n }\n if (1 == cache) {\n static char neo_cachedir[] = \"NEO_CACHE_DIR=\" ACC_OPENCL_CACHE_DIR;\n static char ocl_cachedir[] = \"cl_cache_dir=\" ACC_OPENCL_CACHE_DIR;\n ACC_OPENCL_EXPECT(0 == LIBXSMM_PUTENV(neo_cachedir)); /* putenv before entering OpenCL */\n ACC_OPENCL_EXPECT(0 == LIBXSMM_PUTENV(ocl_cachedir)); /* putenv before entering OpenCL */\n env_cachedir = ACC_OPENCL_CACHE_DIR;\n }\n# if defined(ACC_OPENCL_TEMPDIR)\n else if (NULL == env_cachedir) { /* code-path entered by default */\n if (NULL == env_cache || 0 != cache) { /* customize NEO_CACHE_DIR unless ACC_OPENCL_CACHE=0 */\n static char neo_cachedir[] = \"NEO_CACHE_DIR=\" ACC_OPENCL_TEMPDIR \"/\" ACC_OPENCL_CACHE_DIR;\n ACC_OPENCL_EXPECT(0 == LIBXSMM_PUTENV(neo_cachedir)); /* putenv before entering OpenCL */\n env_cachedir = ACC_OPENCL_TEMPDIR \"/\" ACC_OPENCL_CACHE_DIR;\n }\n if (0 != cache) { /* legacy-NEO is treated with explicit opt-in */\n static char ocl_cachedir[] = \"cl_cache_dir=\" ACC_OPENCL_TEMPDIR \"/\" ACC_OPENCL_CACHE_DIR;\n ACC_OPENCL_EXPECT(0 == LIBXSMM_PUTENV(ocl_cachedir)); /* putenv before entering OpenCL */\n }\n }\n# endif\n if (NULL != env_cachedir) {\n# if defined(_WIN32)\n LIBXSMM_UNUSED(env_cachedir);\n# else\n# if defined(S_IRWXU) && defined(S_IRGRP) && defined(S_IXGRP) && defined(S_IROTH) && defined(S_IXOTH)\n const int mode = S_IRWXU | S_IRGRP | S_IXGRP | S_IROTH | S_IXOTH;\n# else\n const int mode = 0xFFFFFFFF;\n# endif\n ACC_OPENCL_EXPECT(0 == mkdir(env_cachedir, mode) || EEXIST == errno); /* soft-error */\n# endif\n }\n }\n# endif\n# if defined(ACC_OPENCL_NCCS)\n if (0 != nccs && NULL == getenv(\"ZEX_NUMBER_OF_CCS\")) {\n static char zex_nccs[ACC_OPENCL_MAXNDEVS * 8 + 32] = \"ZEX_NUMBER_OF_CCS=\";\n const int mode = ((1 == nccs || 2 == nccs) ? nccs : 4);\n int j = strlen(zex_nccs);\n for (i = 0; i < ACC_OPENCL_MAXNDEVS; ++i) {\n const char* const istr = (0 < i ? \",%u:%i\" : \"%u:%i\");\n const int n = LIBXSMM_SNPRINTF(zex_nccs + j, sizeof(zex_nccs) - j, istr, i, mode);\n if (0 < n) j += n;\n else {\n j = 0;\n break;\n }\n }\n if (0 < j && 0 == LIBXSMM_PUTENV(zex_nccs) && /* populate before touching the compute runtime */\n (2 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity))\n {\n fprintf(stderr, \"INFO ACC/OpenCL: support multiple separate compute command streamers (%i-CCS mode)\\n\", mode);\n }\n }\n# endif\n if (0 != neo && (NULL != env_neo || 0 == LIBXSMM_PUTENV(neo_enable_debug_keys))) {\n if ((1 + 2 + 4) & c_dbcsr_acc_opencl_config.wa) {\n static char a[] = \"ZE_FLAT_DEVICE_HIERARCHY=COMPOSITE\", b[] = \"EnableRecoverablePageFaults=0\";\n static char c[] = \"DirectSubmissionOverrideBlitterSupport=0\", *const apply[] = {a, b, c};\n if ((1 & c_dbcsr_acc_opencl_config.wa) && NULL == getenv(\"ZE_FLAT_DEVICE_HIERARCHY\")) {\n ACC_OPENCL_EXPECT(0 == LIBXSMM_PUTENV(apply[0]));\n }\n# if (1 >= ACC_OPENCL_USM)\n if ((2 & c_dbcsr_acc_opencl_config.wa) && NULL == getenv(\"EnableRecoverablePageFaults\")) {\n ACC_OPENCL_EXPECT(0 == LIBXSMM_PUTENV(apply[1]));\n }\n# endif\n if ((4 & c_dbcsr_acc_opencl_config.wa) && NULL == getenv(\"DirectSubmissionOverrideBlitterSupport\")) {\n ACC_OPENCL_EXPECT(0 == LIBXSMM_PUTENV(apply[2]));\n }\n }\n if (0 != c_dbcsr_acc_opencl_config.debug && NULL == getenv(\"DisableScratchPages\")) {\n static char a[] = \"DisableScratchPages=1\", *const apply[] = {a};\n ACC_OPENCL_EXPECT(0 == LIBXSMM_PUTENV(apply[0]));\n }\n }\n}\n\n\nint c_dbcsr_acc_init(void) {\n# if defined(_OPENMP)\n /* initialization/finalization is not meant to be thread-safe */\n int result = ((0 == omp_in_parallel() || /*main*/ 0 == omp_get_thread_num()) ? EXIT_SUCCESS : EXIT_FAILURE);\n# else\n int result = EXIT_SUCCESS;\n# endif\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (NULL == c_dbcsr_acc_opencl_config.lock_main) { /* avoid to configure multiple times */\n c_dbcsr_acc_opencl_configure();\n }\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# else\n if (NULL == c_dbcsr_acc_opencl_config.lock_main) { /* avoid to configure multiple times */\n c_dbcsr_acc_opencl_configure();\n }\n# endif\n /* eventually touch OpenCL/compute runtime after configure */\n if (0 == c_dbcsr_acc_opencl_config.ndevices && EXIT_SUCCESS == result) { /* avoid to initialize multiple times */\n char buffer[ACC_OPENCL_BUFFERSIZE];\n cl_platform_id platforms[ACC_OPENCL_MAXNDEVS] = {NULL};\n cl_device_id devices[ACC_OPENCL_MAXNDEVS];\n cl_device_type type = CL_DEVICE_TYPE_ALL;\n cl_uint nplatforms = 0, ndevices = 0, i;\n const char* const env_devmatch = getenv(\"ACC_OPENCL_DEVMATCH\");\n const char* const env_devtype = getenv(\"ACC_OPENCL_DEVTYPE\");\n const char* const env_device = getenv(\"ACC_OPENCL_DEVICE\");\n char* const env_devids = getenv(\"ACC_OPENCL_DEVIDS\");\n int device_id = (NULL == env_device ? 0 : atoi(env_device));\n# if defined(ACC_OPENCL_CACHE_DID)\n assert(0 == c_dbcsr_acc_opencl_active_id);\n# endif\n if (EXIT_SUCCESS != c_dbcsr_acc_opencl_device_uid(NULL /*device*/, env_devmatch, &c_dbcsr_acc_opencl_config.devmatch)) {\n c_dbcsr_acc_opencl_config.devmatch = 1;\n }\n if (EXIT_SUCCESS == clGetPlatformIDs(0, NULL, &nplatforms) && 0 < nplatforms) {\n ACC_OPENCL_CHECK(result, clGetPlatformIDs(nplatforms <= ACC_OPENCL_MAXNDEVS ? nplatforms : ACC_OPENCL_MAXNDEVS, platforms, 0),\n \"retrieve platform ids\");\n }\n if (EXIT_SUCCESS == result) {\n if (NULL != env_devtype && '\\0' != *env_devtype) {\n if (NULL != LIBXSMM_STRISTR(env_devtype, \"gpu\")) {\n type = CL_DEVICE_TYPE_GPU;\n }\n else if (NULL != LIBXSMM_STRISTR(env_devtype, \"cpu\")) {\n type = CL_DEVICE_TYPE_CPU;\n }\n else if (NULL != LIBXSMM_STRISTR(env_devtype, \"acc\") || NULL != LIBXSMM_STRISTR(env_devtype, \"other\")) {\n type = CL_DEVICE_TYPE_ACCELERATOR;\n }\n else {\n type = CL_DEVICE_TYPE_ALL;\n }\n }\n c_dbcsr_acc_opencl_config.ndevices = 0;\n for (i = 0; i < nplatforms; ++i) {\n if (EXIT_SUCCESS == clGetDeviceIDs(platforms[i], type, 0, NULL, &ndevices) && 0 < ndevices) {\n ACC_OPENCL_CHECK(result, clGetDeviceIDs(platforms[i], type, ndevices, devices, NULL), \"retrieve device ids\");\n if (EXIT_SUCCESS == result) {\n cl_uint j = 0;\n for (; j < ndevices; ++j) {\n# if defined(CL_VERSION_1_2)\n cl_device_partition_property properties[] = {\n CL_DEVICE_PARTITION_BY_AFFINITY_DOMAIN, CL_DEVICE_AFFINITY_DOMAIN_NUMA, /*terminator*/ 0};\n cl_uint nunits = 0, n = 0;\n if ((1 < c_dbcsr_acc_opencl_config.devsplit || 0 > c_dbcsr_acc_opencl_config.devsplit) &&\n /* Intel CPU (e.g., out of two sockets) yields thread-count of both sockets */\n EXIT_SUCCESS == clGetDeviceInfo(devices[j], CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(cl_uint), &nunits, NULL) &&\n 1 < nunits)\n {\n n = LIBXSMM_MIN(1 < c_dbcsr_acc_opencl_config.devsplit ? (cl_uint)c_dbcsr_acc_opencl_config.devsplit : nunits,\n ACC_OPENCL_MAXNDEVS);\n properties[0] = CL_DEVICE_PARTITION_EQUALLY;\n properties[1] = (nunits + n - 1) / n;\n }\n if (0 == c_dbcsr_acc_opencl_config.devsplit || 1 == c_dbcsr_acc_opencl_config.devsplit ||\n (c_dbcsr_acc_opencl_config.ndevices + 1) == ACC_OPENCL_MAXNDEVS ||\n EXIT_SUCCESS != clCreateSubDevices(devices[j], properties, 0, NULL, &n))\n# endif\n {\n c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.ndevices] = devices[j];\n ++c_dbcsr_acc_opencl_config.ndevices;\n }\n# if defined(CL_VERSION_1_2)\n else if (1 < n) { /* create subdevices */\n if (ACC_OPENCL_MAXNDEVS < (c_dbcsr_acc_opencl_config.ndevices + n)) {\n n = (cl_uint)ACC_OPENCL_MAXNDEVS - c_dbcsr_acc_opencl_config.ndevices;\n }\n if (EXIT_SUCCESS == clCreateSubDevices(devices[j], properties, n,\n c_dbcsr_acc_opencl_config.devices + c_dbcsr_acc_opencl_config.ndevices, NULL))\n {\n ACC_OPENCL_CHECK(result, clReleaseDevice(devices[j]), \"release device\");\n c_dbcsr_acc_opencl_config.ndevices += n;\n }\n else break;\n }\n else {\n c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.ndevices] = devices[j];\n ++c_dbcsr_acc_opencl_config.ndevices;\n }\n# endif\n }\n } /*else break;*/\n }\n }\n }\n if (EXIT_SUCCESS == result && 0 < c_dbcsr_acc_opencl_config.ndevices) {\n const char* const env_vendor = getenv(\"ACC_OPENCL_VENDOR\");\n /* filter device by vendor (if requested) */\n if (NULL != env_vendor && '\\0' != *env_vendor) {\n for (i = 0; (int)i < c_dbcsr_acc_opencl_config.ndevices;) {\n if (EXIT_SUCCESS ==\n clGetDeviceInfo(c_dbcsr_acc_opencl_config.devices[i], CL_DEVICE_VENDOR, ACC_OPENCL_BUFFERSIZE, buffer, NULL))\n {\n if (NULL == LIBXSMM_STRISTR(buffer, env_vendor)) {\n# if defined(CL_VERSION_1_2)\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseDevice(c_dbcsr_acc_opencl_config.devices[i]));\n# endif\n --c_dbcsr_acc_opencl_config.ndevices;\n if ((int)i < c_dbcsr_acc_opencl_config.ndevices) { /* keep original order (stable) */\n memmove(&c_dbcsr_acc_opencl_config.devices[i], &c_dbcsr_acc_opencl_config.devices[i + 1],\n sizeof(cl_device_id) * (c_dbcsr_acc_opencl_config.ndevices - i));\n }\n }\n else ++i;\n }\n else break; /* error: retrieving device vendor */\n }\n }\n /* reorder devices according to c_dbcsr_acc_opencl_order_devices */\n if (EXIT_SUCCESS == result && 1 < c_dbcsr_acc_opencl_config.ndevices) {\n qsort(c_dbcsr_acc_opencl_config.devices, c_dbcsr_acc_opencl_config.ndevices, sizeof(cl_device_id),\n c_dbcsr_acc_opencl_order_devices);\n }\n /* ACC_OPENCL_DEVIDS is parsed as a list of devices (whitelist) */\n if (EXIT_SUCCESS == result && NULL != env_devids && '\\0' != *env_devids) {\n cl_uint devids[ACC_OPENCL_MAXNDEVS], ndevids = 0;\n char* did = strtok(env_devids, ACC_OPENCL_DELIMS \" \");\n for (; NULL != did && ndevids < ACC_OPENCL_MAXNDEVS; did = strtok(NULL, ACC_OPENCL_DELIMS \" \")) {\n const int id = atoi(did);\n if (0 <= id && id < c_dbcsr_acc_opencl_config.ndevices) devids[ndevids++] = id;\n }\n if (0 < ndevids) {\n ndevices = (cl_uint)c_dbcsr_acc_opencl_config.ndevices;\n for (i = 0; i < ndevices; ++i) {\n cl_uint match = 0, j = 0;\n do\n if (i == devids[j]) {\n match = 1;\n break;\n }\n while (++j < ndevids);\n if (0 == match) {\n# if defined(CL_VERSION_1_2)\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseDevice(c_dbcsr_acc_opencl_config.devices[i]));\n# endif\n c_dbcsr_acc_opencl_config.devices[i] = NULL;\n }\n }\n for (i = c_dbcsr_acc_opencl_config.ndevices - 1;; --i) {\n if (NULL == c_dbcsr_acc_opencl_config.devices[i]) { /* keep original order (stable) */\n const cl_uint nmove = c_dbcsr_acc_opencl_config.ndevices - (i + 1);\n if (0 < nmove) {\n memmove(\n &c_dbcsr_acc_opencl_config.devices[i], &c_dbcsr_acc_opencl_config.devices[i + 1], sizeof(cl_device_id) * nmove);\n }\n --c_dbcsr_acc_opencl_config.ndevices;\n }\n if (0 == i) break;\n }\n }\n }\n }\n if (EXIT_SUCCESS == result && 0 < c_dbcsr_acc_opencl_config.ndevices) {\n /* preselect any default device or prune to homogeneous set of devices */\n if (NULL == env_device || '\\0' == *env_device) {\n char tmp[ACC_OPENCL_BUFFERSIZE] = \"\";\n ndevices = (cl_uint)c_dbcsr_acc_opencl_config.ndevices;\n for (i = 0; i < ndevices; ++i) {\n cl_device_type itype;\n result = clGetDeviceInfo(c_dbcsr_acc_opencl_config.devices[i], CL_DEVICE_TYPE, sizeof(cl_device_type), &itype, NULL);\n if (EXIT_SUCCESS == result) {\n if (0 != (CL_DEVICE_TYPE_DEFAULT & itype)) {\n if (0 < i) {\n c_dbcsr_acc_opencl_config.devices[0] = c_dbcsr_acc_opencl_config.devices[i];\n }\n c_dbcsr_acc_opencl_config.ndevices = 1;\n device_id = 0;\n break;\n }\n else if (CL_DEVICE_TYPE_ALL == type && NULL == env_devtype /*&& CL_DEVICE_TYPE_GPU == itype*/ && device_id <= (int)i) {\n result = clGetDeviceInfo(c_dbcsr_acc_opencl_config.devices[i], CL_DEVICE_NAME, ACC_OPENCL_BUFFERSIZE, buffer, NULL);\n if (EXIT_SUCCESS == result /* prune for homogeneous set of devices */\n && ('\\0' == *tmp || 0 == strncmp(buffer, tmp, ACC_OPENCL_BUFFERSIZE)))\n {\n c_dbcsr_acc_opencl_config.ndevices = i + 1;\n strncpy(tmp, buffer, ACC_OPENCL_BUFFERSIZE);\n }\n else break; /* error: retrieving device name */\n }\n }\n else break; /* error: retrieving device type */\n }\n }\n else { /* prune number of devices to only expose requested ID */\n if (1 < c_dbcsr_acc_opencl_config.ndevices) {\n if (0 < device_id) {\n c_dbcsr_acc_opencl_config.devices[0] =\n c_dbcsr_acc_opencl_config.devices[device_id % c_dbcsr_acc_opencl_config.ndevices];\n }\n c_dbcsr_acc_opencl_config.ndevices = 1;\n }\n device_id = 0;\n }\n }\n if (device_id < c_dbcsr_acc_opencl_config.ndevices) {\n if (EXIT_SUCCESS == result) {\n const size_t nhandles = ACC_OPENCL_MAXNITEMS * c_dbcsr_acc_opencl_config.nthreads;\n assert(0 < c_dbcsr_acc_opencl_config.ndevices);\n assert(c_dbcsr_acc_opencl_config.ndevices < ACC_OPENCL_MAXNDEVS);\n assert(NULL == c_dbcsr_acc_opencl_config.memptrs);\n assert(NULL == c_dbcsr_acc_opencl_config.memptr_data);\n assert(0 == c_dbcsr_acc_opencl_config.nmemptrs);\n assert(NULL == c_dbcsr_acc_opencl_config.streams);\n assert(NULL == c_dbcsr_acc_opencl_config.events);\n assert(NULL == c_dbcsr_acc_opencl_config.stream_data);\n assert(NULL == c_dbcsr_acc_opencl_config.event_data);\n assert(0 == c_dbcsr_acc_opencl_config.nstreams);\n assert(0 == c_dbcsr_acc_opencl_config.nevents);\n /* allocate and initialize memptr registry */\n c_dbcsr_acc_opencl_config.nmemptrs = nhandles;\n c_dbcsr_acc_opencl_config.memptrs = (c_dbcsr_acc_opencl_info_memptr_t**)malloc(\n sizeof(c_dbcsr_acc_opencl_info_memptr_t*) * nhandles);\n c_dbcsr_acc_opencl_config.memptr_data = (c_dbcsr_acc_opencl_info_memptr_t*)malloc(\n sizeof(c_dbcsr_acc_opencl_info_memptr_t) * nhandles);\n if (NULL != c_dbcsr_acc_opencl_config.memptrs && NULL != c_dbcsr_acc_opencl_config.memptr_data) {\n c_dbcsr_acc_opencl_pmalloc_init(sizeof(c_dbcsr_acc_opencl_info_memptr_t), &c_dbcsr_acc_opencl_config.nmemptrs,\n (void**)c_dbcsr_acc_opencl_config.memptrs, c_dbcsr_acc_opencl_config.memptr_data);\n }\n else {\n free(c_dbcsr_acc_opencl_config.memptrs);\n free(c_dbcsr_acc_opencl_config.memptr_data);\n c_dbcsr_acc_opencl_config.memptr_data = NULL;\n c_dbcsr_acc_opencl_config.memptrs = NULL;\n c_dbcsr_acc_opencl_config.nmemptrs = 0;\n result = EXIT_FAILURE;\n }\n /* allocate and initialize streams registry */\n c_dbcsr_acc_opencl_config.nstreams = nhandles;\n c_dbcsr_acc_opencl_config.streams = (c_dbcsr_acc_opencl_stream_t**)malloc(sizeof(c_dbcsr_acc_opencl_stream_t*) * nhandles);\n c_dbcsr_acc_opencl_config.stream_data = (c_dbcsr_acc_opencl_stream_t*)malloc(\n sizeof(c_dbcsr_acc_opencl_stream_t) * nhandles);\n if (NULL != c_dbcsr_acc_opencl_config.streams && NULL != c_dbcsr_acc_opencl_config.stream_data) {\n c_dbcsr_acc_opencl_pmalloc_init(sizeof(c_dbcsr_acc_opencl_stream_t), &c_dbcsr_acc_opencl_config.nstreams,\n (void**)c_dbcsr_acc_opencl_config.streams, c_dbcsr_acc_opencl_config.stream_data);\n }\n else {\n free(c_dbcsr_acc_opencl_config.streams);\n free(c_dbcsr_acc_opencl_config.stream_data);\n c_dbcsr_acc_opencl_config.stream_data = NULL;\n c_dbcsr_acc_opencl_config.streams = NULL;\n c_dbcsr_acc_opencl_config.nstreams = 0;\n result = EXIT_FAILURE;\n }\n /* allocate and initialize events registry */\n c_dbcsr_acc_opencl_config.nevents = nhandles;\n c_dbcsr_acc_opencl_config.events = (cl_event**)malloc(sizeof(cl_event*) * nhandles);\n c_dbcsr_acc_opencl_config.event_data = (cl_event*)malloc(sizeof(cl_event) * nhandles);\n if (NULL != c_dbcsr_acc_opencl_config.events && NULL != c_dbcsr_acc_opencl_config.event_data) {\n c_dbcsr_acc_opencl_pmalloc_init(sizeof(cl_event*), &c_dbcsr_acc_opencl_config.nevents,\n (void**)c_dbcsr_acc_opencl_config.events, c_dbcsr_acc_opencl_config.event_data);\n }\n else {\n free(c_dbcsr_acc_opencl_config.events);\n free(c_dbcsr_acc_opencl_config.event_data);\n c_dbcsr_acc_opencl_config.event_data = NULL;\n c_dbcsr_acc_opencl_config.events = NULL;\n c_dbcsr_acc_opencl_config.nevents = 0;\n result = EXIT_FAILURE;\n }\n if (\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n 2 <= c_dbcsr_acc_opencl_config.profile ||\n# else\n 1 <= c_dbcsr_acc_opencl_config.profile ||\n# endif\n 0 > c_dbcsr_acc_opencl_config.profile)\n {\n const char* const env_qsize = getenv(\"ACC_OPENCL_PROFILE_QSIZE\");\n const int psize = (NULL == env_qsize ? 0 : atoi(env_qsize));\n const int qsize = (0 >= psize ? 1024 : LIBXSMM_MIN(psize, 65536));\n const int profile = LIBXSMM_MAX(LIBXSMM_ABS(c_dbcsr_acc_opencl_config.profile), 2);\n const c_dbcsr_acc_opencl_hist_update_fn update[] = {c_dbcsr_acc_opencl_hist_avg, c_dbcsr_acc_opencl_hist_add};\n c_dbcsr_acc_opencl_hist_create(&c_dbcsr_acc_opencl_config.hist_h2d, profile + 1, qsize, 2, update);\n c_dbcsr_acc_opencl_hist_create(&c_dbcsr_acc_opencl_config.hist_d2h, profile + 1, qsize, 2, update);\n c_dbcsr_acc_opencl_hist_create(&c_dbcsr_acc_opencl_config.hist_d2d, profile + 1, qsize, 2, update);\n }\n else {\n assert(NULL == c_dbcsr_acc_opencl_config.hist_h2d);\n assert(NULL == c_dbcsr_acc_opencl_config.hist_d2h);\n assert(NULL == c_dbcsr_acc_opencl_config.hist_d2d);\n }\n if (EXIT_SUCCESS == result) { /* lastly, print active device and list of devices */\n# if defined(ACC_OPENCL_ACTIVATE)\n if (0 <= ACC_OPENCL_ACTIVATE && ACC_OPENCL_ACTIVATE < c_dbcsr_acc_opencl_config.ndevices) {\n result = c_dbcsr_acc_opencl_set_active_device(NULL /*lock*/, ACC_OPENCL_ACTIVATE);\n }\n else {\n if (0 < c_dbcsr_acc_opencl_config.nrank && 1 < c_dbcsr_acc_opencl_config.ndevices) {\n device_id = c_dbcsr_acc_opencl_config.nrank % c_dbcsr_acc_opencl_config.ndevices;\n }\n result = c_dbcsr_acc_opencl_set_active_device(NULL /*lock*/, device_id);\n }\n# else\n c_dbcsr_acc_opencl_config.device_id = device_id;\n# endif\n if ((2 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) &&\n (0 == c_dbcsr_acc_opencl_config.nrank))\n {\n char platform_name[ACC_OPENCL_BUFFERSIZE];\n for (i = 0; i < (cl_uint)c_dbcsr_acc_opencl_config.ndevices; ++i) {\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_name(c_dbcsr_acc_opencl_config.devices[i], buffer,\n ACC_OPENCL_BUFFERSIZE, platform_name, ACC_OPENCL_BUFFERSIZE, /*cleanup*/ 0))\n {\n fprintf(stderr, \"INFO ACC/OpenCL: DEVICE -> \\\"%s : %s\\\" (%u)\\n\", platform_name, buffer, i);\n }\n }\n }\n }\n }\n }\n else { /* mark as initialized */\n c_dbcsr_acc_opencl_config.ndevices = -1;\n }\n# if defined(__DBCSR_ACC)\n /* DBCSR shall call c_dbcsr_acc_init as well as libsmm_acc_init (since both interfaces are used).\n * Also, libsmm_acc_init may privately call c_dbcsr_acc_init (as it depends on the ACC interface).\n * The implementation of c_dbcsr_acc_init should hence be safe against \"over initialization\".\n * However, DBCSR only calls c_dbcsr_acc_init (and expects an implicit libsmm_acc_init).\n */\n if (EXIT_SUCCESS == result) result = libsmm_acc_init();\n# endif\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\n/* attempt to automatically initialize backend */\nLIBXSMM_ATTRIBUTE_CTOR void c_dbcsr_acc_opencl_init(void) {\n if (NULL == c_dbcsr_acc_opencl_config.lock_main) { /* avoid to configure multiple times */\n c_dbcsr_acc_opencl_configure();\n }\n# if defined(ACC_OPENCL_PREINIT)\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_init());\n# endif\n}\n\n\n/* attempt to automatically finalize backend */\nLIBXSMM_ATTRIBUTE_DTOR void c_dbcsr_acc_opencl_finalize(void) {\n assert(c_dbcsr_acc_opencl_config.ndevices < ACC_OPENCL_MAXNDEVS);\n if (0 != c_dbcsr_acc_opencl_config.ndevices) {\n const int precision[] = {0, 1};\n int i;\n LIBXSMM_STDIO_ACQUIRE();\n c_dbcsr_acc_opencl_hist_print(stderr, c_dbcsr_acc_opencl_config.hist_h2d, \"\\nPROF ACC/OpenCL: H2D\", precision, NULL /*adjust*/);\n c_dbcsr_acc_opencl_hist_print(stderr, c_dbcsr_acc_opencl_config.hist_d2h, \"\\nPROF ACC/OpenCL: D2H\", precision, NULL /*adjust*/);\n c_dbcsr_acc_opencl_hist_print(stderr, c_dbcsr_acc_opencl_config.hist_d2d, \"\\nPROF ACC/OpenCL: D2D\", precision, NULL /*adjust*/);\n LIBXSMM_STDIO_RELEASE();\n for (i = 0; i < ACC_OPENCL_MAXNDEVS; ++i) {\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[i];\n if (NULL != device_id) {\n# if defined(CL_VERSION_1_2) && 0 /* avoid potential segfault */\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseDevice(device_id));\n# endif\n }\n }\n if (NULL != c_dbcsr_acc_opencl_config.device.stream.queue) { /* release private stream */\n clReleaseCommandQueue(c_dbcsr_acc_opencl_config.device.stream.queue); /* ignore return code */\n }\n if (NULL != c_dbcsr_acc_opencl_config.device.context) {\n const cl_context context = c_dbcsr_acc_opencl_config.device.context;\n c_dbcsr_acc_opencl_config.device.context = NULL;\n clReleaseContext(context); /* ignore return code */\n }\n for (i = 0; i < ACC_OPENCL_NLOCKS; ++i) { /* destroy locks */\n ACC_OPENCL_DESTROY((ACC_OPENCL_LOCKTYPE*)(c_dbcsr_acc_opencl_locks + ACC_OPENCL_CACHELINE * i));\n }\n /* release/reset buffers */\n c_dbcsr_acc_opencl_hist_free(c_dbcsr_acc_opencl_config.hist_h2d);\n c_dbcsr_acc_opencl_hist_free(c_dbcsr_acc_opencl_config.hist_d2h);\n c_dbcsr_acc_opencl_hist_free(c_dbcsr_acc_opencl_config.hist_d2d);\n free(c_dbcsr_acc_opencl_config.memptrs);\n free(c_dbcsr_acc_opencl_config.memptr_data);\n free(c_dbcsr_acc_opencl_config.streams);\n free(c_dbcsr_acc_opencl_config.stream_data);\n free(c_dbcsr_acc_opencl_config.events);\n free(c_dbcsr_acc_opencl_config.event_data);\n /* clear entire configuration structure */\n memset(&c_dbcsr_acc_opencl_config, 0, sizeof(c_dbcsr_acc_opencl_config));\n# if defined(ACC_OPENCL_CACHE_DID)\n c_dbcsr_acc_opencl_active_id = 0; /* reset cached active device-ID */\n# endif\n libxsmm_finalize();\n }\n}\n\n\nint c_dbcsr_acc_finalize(void) {\n# if defined(_OPENMP)\n /* initialization/finalization is not meant to be thread-safe */\n int result = ((0 == omp_in_parallel() || /*main*/ 0 == omp_get_thread_num()) ? EXIT_SUCCESS : EXIT_FAILURE);\n# else\n int result = EXIT_SUCCESS;\n# endif\n static void (*cleanup)(void) = c_dbcsr_acc_opencl_finalize;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(c_dbcsr_acc_opencl_config.ndevices < ACC_OPENCL_MAXNDEVS);\n if (0 != c_dbcsr_acc_opencl_config.ndevices && NULL != cleanup) {\n# if defined(__DBCSR_ACC)\n /* DBCSR may call c_dbcsr_acc_init as well as libsmm_acc_init() since both interface are used.\n * libsmm_acc_init may privately call c_dbcsr_acc_init (as it depends on the ACC interface).\n * The implementation of c_dbcsr_acc_init should be safe against \"over initialization\".\n * However, DBCSR only calls c_dbcsr_acc_init and expects an implicit libsmm_acc_init().\n */\n if (EXIT_SUCCESS == result) result = libsmm_acc_finalize();\n# endif\n if (EXIT_SUCCESS == result) result = atexit(cleanup);\n cleanup = NULL;\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_opencl_use_cmem(const c_dbcsr_acc_opencl_device_t* devinfo) {\n# if defined(ACC_OPENCL_CMEM)\n return (0 != devinfo->size_maxalloc && devinfo->size_maxalloc <= devinfo->size_maxcmem) ? EXIT_SUCCESS : EXIT_FAILURE;\n# else\n return EXIT_FAILURE;\n# endif\n}\n\n\nvoid c_dbcsr_acc_clear_errors(void) {}\n\n\nint c_dbcsr_acc_get_ndevices(int* ndevices) {\n int result;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n# if defined(__DBCSR_ACC) /* lazy initialization */\n /* DBCSR calls c_dbcsr_acc_get_ndevices before calling c_dbcsr_acc_init. */\n result = c_dbcsr_acc_init();\n if (EXIT_SUCCESS == result)\n# endif\n {\n if (NULL != ndevices && 0 != c_dbcsr_acc_opencl_config.ndevices) {\n *ndevices = (0 < c_dbcsr_acc_opencl_config.ndevices ? c_dbcsr_acc_opencl_config.ndevices : 0);\n result = EXIT_SUCCESS;\n }\n else result = EXIT_FAILURE;\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_opencl_device_id(cl_device_id device, int* device_id, int* global_id) {\n int result = EXIT_SUCCESS, i;\n assert(c_dbcsr_acc_opencl_config.ndevices < ACC_OPENCL_MAXNDEVS);\n assert(NULL != device_id || NULL != global_id);\n for (i = 0; i < c_dbcsr_acc_opencl_config.ndevices; ++i) {\n if (device == c_dbcsr_acc_opencl_config.devices[i]) break;\n }\n if (i < c_dbcsr_acc_opencl_config.ndevices) {\n if (NULL != device_id) *device_id = i;\n if (NULL != global_id) {\n *global_id = i;\n for (++i; i < ACC_OPENCL_MAXNDEVS; ++i) {\n if (NULL != c_dbcsr_acc_opencl_config.devices[i]) {\n if (device == c_dbcsr_acc_opencl_config.devices[i]) {\n *global_id = i;\n break;\n }\n }\n else break;\n }\n }\n }\n else {\n if (NULL != device_id) *device_id = -1;\n if (NULL != global_id) *global_id = -1;\n if (NULL != device) result = EXIT_FAILURE;\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_device_vendor(cl_device_id device, const char vendor[], int use_platform_name) {\n char buffer[ACC_OPENCL_BUFFERSIZE];\n int result = EXIT_SUCCESS;\n assert(NULL != device && NULL != vendor);\n if (0 == use_platform_name) {\n result = clGetDeviceInfo(device, CL_DEVICE_VENDOR, ACC_OPENCL_BUFFERSIZE, buffer, NULL);\n }\n else {\n cl_platform_id platform;\n result = clGetDeviceInfo(device, CL_DEVICE_PLATFORM, sizeof(cl_platform_id), &platform, NULL);\n if (EXIT_SUCCESS == result) {\n result = clGetPlatformInfo(\n platform, 1 == use_platform_name ? CL_PLATFORM_NAME : CL_PLATFORM_VENDOR, ACC_OPENCL_BUFFERSIZE, buffer, NULL);\n }\n }\n if (EXIT_SUCCESS == result) {\n result = (NULL != LIBXSMM_STRISTR(buffer, vendor) ? EXIT_SUCCESS : EXIT_FAILURE);\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_device_uid(cl_device_id device, const char devname[], unsigned int* uid) {\n int result;\n if (NULL != uid) {\n if (NULL != device && EXIT_SUCCESS == c_dbcsr_acc_opencl_device_vendor(device, \"intel\", 0 /*use_platform_name*/)) {\n result = clGetDeviceInfo(device, 0x4251 /*CL_DEVICE_ID_INTEL*/, sizeof(unsigned int), uid, NULL);\n }\n else result = EXIT_FAILURE;\n if (EXIT_SUCCESS != result) {\n if (NULL != devname && '\\0' != *devname) {\n *uid = (unsigned int)strtoul(devname, NULL, 0);\n if (0 == *uid) {\n const char *const begin = strrchr(devname, '['), *const end = strrchr(devname, ']');\n if (NULL != begin && begin < end) {\n *uid = (unsigned int)strtoul(begin + 1, NULL, 0);\n }\n if (0 == *uid) {\n const size_t size = strlen(devname);\n const unsigned int hash = libxsmm_hash(devname, (unsigned int)size, 25071975 /*seed*/);\n *uid = libxsmm_hash(&hash, 4 /*size*/, hash >> 16 /*seed*/) & 0xFFFF;\n }\n }\n result = EXIT_SUCCESS;\n }\n else {\n result = EXIT_FAILURE;\n *uid = 0;\n }\n }\n }\n else result = EXIT_FAILURE;\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_device_name(\n cl_device_id device, char name[], size_t name_maxlen, char platform[], size_t platform_maxlen, int cleanup) {\n int result_name = 0, result_platform = 0;\n assert(NULL != name || NULL != platform);\n if (NULL == device && 0 < c_dbcsr_acc_opencl_config.ndevices) {\n device = c_dbcsr_acc_opencl_config.devices[0]; /* NULL-device refers to device 0 */\n }\n if (NULL != name && 0 != name_maxlen) {\n result_name = clGetDeviceInfo(device, CL_DEVICE_NAME, name_maxlen, name, NULL);\n if (0 != cleanup && EXIT_SUCCESS == result_name) {\n char* const part = strchr(name, ':');\n if (NULL != part) *part = '\\0';\n }\n }\n if (NULL != platform && 0 != platform_maxlen) {\n cl_platform_id platform_id;\n result_platform = clGetDeviceInfo(device, CL_DEVICE_PLATFORM, sizeof(cl_platform_id), &platform_id, NULL);\n if (EXIT_SUCCESS == result_platform) {\n result_platform = clGetPlatformInfo(platform_id, CL_PLATFORM_NAME, platform_maxlen, platform, NULL);\n }\n }\n return result_name | result_platform;\n}\n\n\nint c_dbcsr_acc_opencl_device_level(\n cl_device_id device, int std_clevel[2], int std_level[2], char std_flag[16], cl_device_type* type) {\n char buffer[ACC_OPENCL_BUFFERSIZE];\n unsigned int std_clevel_uint[2] = {0}, std_level_uint[2] = {0};\n int result = EXIT_SUCCESS;\n assert(NULL != device && (NULL != std_clevel || NULL != std_level || NULL != std_flag || NULL != type));\n result = clGetDeviceInfo(device, CL_DEVICE_OPENCL_C_VERSION, ACC_OPENCL_BUFFERSIZE / 2, buffer, NULL);\n if (EXIT_SUCCESS == result && (NULL != std_clevel || NULL != std_flag)) {\n if (2 == sscanf(buffer, \"OpenCL C %u.%u\", std_clevel_uint, std_clevel_uint + 1)) {\n std_clevel[0] = (int)std_clevel_uint[0];\n std_clevel[1] = (int)std_clevel_uint[1];\n }\n else result = EXIT_FAILURE;\n }\n if (EXIT_SUCCESS == result && (NULL != std_level || NULL != std_flag)) {\n result = clGetDeviceInfo(\n device, CL_DEVICE_VERSION, ACC_OPENCL_BUFFERSIZE - ACC_OPENCL_BUFFERSIZE / 2, buffer + ACC_OPENCL_BUFFERSIZE / 2, NULL);\n if (EXIT_SUCCESS == result) {\n if (2 == sscanf(buffer + ACC_OPENCL_BUFFERSIZE / 2, \"OpenCL %u.%u\", std_level_uint, std_level_uint + 1)) {\n std_level[0] = (int)std_level_uint[0];\n std_level[1] = (int)std_level_uint[1];\n }\n else result = EXIT_FAILURE;\n }\n }\n if (EXIT_SUCCESS == result && NULL != std_flag) {\n if (2 <= std_level_uint[0]) {\n const int nchar = LIBXSMM_SNPRINTF(std_flag, 16, \"-cl-std=CL%u.0\", std_level_uint[0]);\n if (0 >= nchar || 16 <= nchar) result = EXIT_FAILURE;\n }\n else if (1 <= std_level_uint[0]) {\n if (1 <= std_level_uint[1]) {\n const int nchar = LIBXSMM_SNPRINTF(std_flag, 16, \"-cl-std=CL%u.%u\", std_level_uint[0], std_level_uint[1]);\n if (0 >= nchar || 16 <= nchar) result = EXIT_FAILURE;\n }\n else if (1 <= std_clevel_uint[0]) { /* fallback */\n const int nchar = LIBXSMM_SNPRINTF(std_flag, 16, \"-cl-std=CL%u.%u\", std_clevel_uint[0], std_clevel_uint[1]);\n if (0 >= nchar || 16 <= nchar) result = EXIT_FAILURE;\n }\n else *std_flag = '\\0'; /* not an error */\n }\n else *std_flag = '\\0'; /* not an error */\n }\n if (EXIT_SUCCESS == result && NULL != type) {\n result = clGetDeviceInfo(device, CL_DEVICE_TYPE, sizeof(cl_device_type), type, NULL);\n }\n if (EXIT_SUCCESS != result) {\n if (NULL != std_clevel) std_clevel[0] = std_clevel[1] = 0;\n if (NULL != std_level) std_level[0] = std_level[1] = 0;\n if (NULL != std_flag) *std_flag = '\\0';\n if (NULL != type) *type = 0;\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_device_ext(cl_device_id device, const char* const extnames[], int num_exts) {\n int result = ((NULL != extnames && 0 < num_exts) ? EXIT_SUCCESS : EXIT_FAILURE);\n char extensions[ACC_OPENCL_BUFFERSIZE], buffer[ACC_OPENCL_BUFFERSIZE];\n assert(NULL != device);\n ACC_OPENCL_CHECK(\n result, clGetDeviceInfo(device, CL_DEVICE_EXTENSIONS, ACC_OPENCL_BUFFERSIZE, extensions, NULL), \"retrieve device extensions\");\n if (EXIT_SUCCESS == result) {\n do {\n if (NULL != extnames[--num_exts]) {\n const char* const end = buffer + strlen(extnames[num_exts]); /* before strtok */\n char* ext = strtok(strncpy(buffer, extnames[num_exts], ACC_OPENCL_BUFFERSIZE - 1), ACC_OPENCL_DELIMS \" \\t\");\n for (; NULL != ext; ext = ((ext + 1) < end ? strtok((ext + 1) + strlen(ext), ACC_OPENCL_DELIMS \" \\t\") : NULL)) {\n if (NULL == strstr(extensions, ext)) {\n return EXIT_FAILURE;\n }\n }\n }\n } while (0 < num_exts);\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_create_context(cl_device_id active_id, cl_context* context) {\n cl_platform_id platform = NULL;\n int result;\n assert(0 < c_dbcsr_acc_opencl_config.ndevices);\n assert(NULL != active_id && NULL != context);\n result = clGetDeviceInfo(active_id, CL_DEVICE_PLATFORM, sizeof(cl_platform_id), &platform, NULL);\n assert(EXIT_SUCCESS != result || NULL != platform);\n if (EXIT_SUCCESS == result) {\n void (*const notify)(\n const char*, const void*, size_t, void*) = (0 != c_dbcsr_acc_opencl_config.verbosity ? c_dbcsr_acc_opencl_notify : NULL);\n cl_context_properties properties[] = {\n CL_CONTEXT_PLATFORM, 0 /*placeholder*/, 0 /* end of properties */\n };\n cl_context ctx = NULL;\n properties[1] = (long)platform;\n ctx = clCreateContext(properties, 1 /*num_devices*/, &active_id, notify, NULL /* user_data*/, &result);\n if (EXIT_SUCCESS != result && CL_INVALID_DEVICE != result) { /* retry */\n ctx = clCreateContext(NULL /*properties*/, 1 /*num_devices*/, &active_id, notify, NULL /* user_data*/, &result);\n }\n if (EXIT_SUCCESS == result) {\n assert(NULL != ctx);\n *context = ctx;\n if (0 != c_dbcsr_acc_opencl_config.verbosity) {\n char buffer[ACC_OPENCL_BUFFERSIZE];\n int global_id = 0;\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_name(\n active_id, buffer, ACC_OPENCL_BUFFERSIZE, NULL /*platform*/, 0 /*platform_maxlen*/, /*cleanup*/ 1) &&\n EXIT_SUCCESS == c_dbcsr_acc_opencl_device_id(active_id, NULL /*devid*/, &global_id))\n {\n const size_t size = strlen(buffer);\n unsigned int uid[] = {0, 0};\n if ((EXIT_SUCCESS == c_dbcsr_acc_opencl_device_uid(NULL /*device*/, buffer, uid + 1)) &&\n (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_uid(active_id, NULL /*devname*/, uid) || 0 != uid[1]) && uid[0] != uid[1])\n {\n ACC_OPENCL_EXPECT(0 < LIBXSMM_SNPRINTF(buffer + size, LIBXSMM_MAX(0, ACC_OPENCL_BUFFERSIZE - size), \" [0x%04x]\",\n 0 != uid[0] ? uid[0] : uid[1]));\n }\n fprintf(stderr, \"INFO ACC/OpenCL: ndevices=%i device%i=\\\"%s\\\" context=%p pid=%u nthreads=%i\\n\",\n c_dbcsr_acc_opencl_config.ndevices, global_id, buffer, (void*)ctx, libxsmm_get_pid(),\n c_dbcsr_acc_opencl_config.nthreads);\n }\n }\n }\n else {\n if (CL_INVALID_DEVICE == result &&\n EXIT_SUCCESS == c_dbcsr_acc_opencl_device_vendor(active_id, \"nvidia\", 0 /*use_platform_name*/))\n {\n fprintf(stderr, \"WARN ACC/OpenCL: if MPI-ranks target the same device in exclusive mode,\\n\"\n \" SMI must be used to enable sharing the device.\\n\");\n }\n *context = NULL;\n }\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_set_active_device(ACC_OPENCL_LOCKTYPE* lock, int device_id) {\n c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n int result = EXIT_SUCCESS;\n assert(c_dbcsr_acc_opencl_config.ndevices < ACC_OPENCL_MAXNDEVS);\n if (0 <= device_id && device_id < c_dbcsr_acc_opencl_config.ndevices) {\n /* accessing devices is thread-safe (array is fixed after initialization) */\n const cl_device_id active_id = c_dbcsr_acc_opencl_config.devices[device_id];\n if (NULL != active_id) {\n cl_context context = NULL;\n if (NULL != lock) ACC_OPENCL_ACQUIRE(lock);\n context = devinfo->context;\n if (NULL != context) {\n if (device_id != c_dbcsr_acc_opencl_config.device_id) {\n const cl_device_id context_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n assert(NULL != context_id);\n# if defined(CL_VERSION_1_2)\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseDevice(context_id));\n# endif\n result = clReleaseContext(context);\n context = NULL;\n }\n }\n if (EXIT_SUCCESS == result && (NULL == devinfo->context || device_id != c_dbcsr_acc_opencl_config.device_id)) {\n result = c_dbcsr_acc_opencl_create_context(active_id, &context);\n assert(NULL != context || EXIT_SUCCESS != result);\n }\n /* update/cache device-specific information */\n if (EXIT_SUCCESS == result && (NULL == devinfo->context || device_id != c_dbcsr_acc_opencl_config.device_id)) {\n if (NULL != devinfo->stream.queue) { /* release private stream */\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseCommandQueue(devinfo->stream.queue));\n }\n memset(devinfo, 0, sizeof(*devinfo));\n result = c_dbcsr_acc_opencl_device_level(\n active_id, devinfo->std_clevel, devinfo->std_level, devinfo->std_flag, &devinfo->type);\n if (EXIT_SUCCESS == result) {\n char devname[ACC_OPENCL_BUFFERSIZE] = \"\";\n const char* const sgexts[] = {\"cl_intel_required_subgroup_size\", \"cl_intel_subgroups\", \"cl_khr_subgroups\"};\n size_t sgsizes[16], nbytes = 0, i;\n ACC_OPENCL_STREAM_PROPERTIES_TYPE properties[4] = {\n CL_QUEUE_PROPERTIES, CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE, 0 /* terminator */\n };\n devinfo->intel = (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_vendor(active_id, \"intel\", 0 /*use_platform_name*/));\n devinfo->nv = (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_vendor(active_id, \"nvidia\", 0 /*use_platform_name*/));\n if (EXIT_SUCCESS != c_dbcsr_acc_opencl_device_name(active_id, devname, ACC_OPENCL_BUFFERSIZE, NULL /*platform*/,\n 0 /*platform_maxlen*/, /*cleanup*/ 1) ||\n EXIT_SUCCESS != c_dbcsr_acc_opencl_device_uid(active_id, devname, &devinfo->uid))\n {\n devinfo->uid = (cl_uint)-1;\n }\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_vendor(active_id, \"amd\", 0 /*use_platform_name*/) ||\n EXIT_SUCCESS == c_dbcsr_acc_opencl_device_vendor(active_id, \"amd\", 1 /*use_platform_name*/))\n {\n devinfo->amd = 1;\n if ('\\0' != *devname) {\n const char* const gfxname = LIBXSMM_STRISTR(devname, \"gfx\");\n if (NULL != gfxname && 90 <= atoi(gfxname + 3)) {\n devinfo->amd = 2;\n }\n }\n }\n if (EXIT_SUCCESS !=\n clGetDeviceInfo(active_id, CL_DEVICE_HOST_UNIFIED_MEMORY, sizeof(cl_bool) /*cl_int*/, &devinfo->unified, NULL))\n {\n devinfo->unified = CL_FALSE;\n }\n if (EXIT_SUCCESS !=\n clGetDeviceInfo(active_id, CL_DEVICE_MAX_MEM_ALLOC_SIZE, sizeof(cl_ulong), &devinfo->size_maxalloc, NULL))\n {\n devinfo->size_maxalloc = 0;\n }\n if (EXIT_SUCCESS !=\n clGetDeviceInfo(active_id, CL_DEVICE_MAX_CONSTANT_BUFFER_SIZE, sizeof(cl_ulong), &devinfo->size_maxcmem, NULL))\n {\n devinfo->size_maxcmem = 0;\n }\n if (EXIT_SUCCESS != clGetDeviceInfo(active_id, CL_DEVICE_MAX_WORK_GROUP_SIZE, sizeof(size_t), devinfo->wgsize, NULL)) {\n devinfo->wgsize[0] = 1;\n }\n if (EXIT_SUCCESS != clGetDeviceInfo(active_id, 4199 /*CL_DEVICE_PREFERRED_WORK_GROUP_SIZE_MULTIPLE*/, sizeof(size_t),\n devinfo->wgsize + 1, NULL)) /* CL_VERSION_3_0 */\n {\n devinfo->wgsize[1] = 1;\n }\n assert(0 == devinfo->wgsize[2]);\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_ext(active_id, sgexts, 2) && 0 != devinfo->wgsize[1] &&\n EXIT_SUCCESS ==\n clGetDeviceInfo(active_id, 0x4108 /*CL_DEVICE_SUB_GROUP_SIZES_INTEL*/, sizeof(sgsizes), sgsizes, &nbytes))\n {\n for (i = 0; (i * sizeof(size_t)) < nbytes; ++i) {\n const size_t sgsize = sgsizes[i];\n if (devinfo->wgsize[2] < sgsize && (0 == (sgsize % devinfo->wgsize[1]) || 0 == (devinfo->wgsize[1] % sgsize))) {\n if (devinfo->wgsize[1] < sgsize) devinfo->wgsize[1] = sgsize;\n devinfo->wgsize[2] = sgsize;\n }\n }\n }\n else devinfo->wgsize[2] = 0;\n# if defined(ACC_OPENCL_XHINTS) && (1 >= ACC_OPENCL_USM)\n { /* cl_intel_unified_shared_memory extension */\n cl_platform_id platform = NULL;\n cl_bitfield bitfield = 0;\n if (0 != (1 & c_dbcsr_acc_opencl_config.xhints) && 2 <= *devinfo->std_level && 0 != devinfo->intel &&\n /*0 == c_dbcsr_acc_opencl_config.profile &&*/ (0 == devinfo->unified || NULL != (ACC_OPENCL_XHINTS)) &&\n EXIT_SUCCESS == clGetDeviceInfo(active_id, CL_DEVICE_PLATFORM, sizeof(cl_platform_id), &platform, NULL) &&\n EXIT_SUCCESS == c_dbcsr_acc_opencl_device_vendor(active_id, \"intel\", 2 /*platform vendor*/) &&\n EXIT_SUCCESS == clGetDeviceInfo(active_id, 0x4191 /*CL_DEVICE_DEVICE_MEM_CAPABILITIES_INTEL*/, sizeof(cl_bitfield),\n &bitfield, NULL) &&\n 0 != bitfield)\n {\n void* ptr[8] = {NULL};\n int i = 0, n = 0;\n ptr[0] = clGetExtensionFunctionAddressForPlatform(platform, \"clSetKernelArgMemPointerINTEL\");\n ptr[1] = clGetExtensionFunctionAddressForPlatform(platform, \"clEnqueueMemFillINTEL\");\n ptr[2] = clGetExtensionFunctionAddressForPlatform(platform, \"clEnqueueMemcpyINTEL\");\n ptr[3] = clGetExtensionFunctionAddressForPlatform(platform, \"clDeviceMemAllocINTEL\");\n ptr[4] = clGetExtensionFunctionAddressForPlatform(platform, \"clSharedMemAllocINTEL\");\n ptr[5] = clGetExtensionFunctionAddressForPlatform(platform, \"clHostMemAllocINTEL\");\n ptr[6] = clGetExtensionFunctionAddressForPlatform(platform, \"clMemFreeINTEL\");\n for (; i < (int)(sizeof(ptr) / sizeof(*ptr)); ++i) {\n if (NULL != ptr[i]) ++n;\n }\n if (7 == n) {\n LIBXSMM_ASSIGN127(&devinfo->clSetKernelArgMemPointerINTEL, ptr + 0);\n LIBXSMM_ASSIGN127(&devinfo->clEnqueueMemFillINTEL, ptr + 1);\n LIBXSMM_ASSIGN127(&devinfo->clEnqueueMemcpyINTEL, ptr + 2);\n LIBXSMM_ASSIGN127(&devinfo->clDeviceMemAllocINTEL, ptr + 3);\n LIBXSMM_ASSIGN127(&devinfo->clSharedMemAllocINTEL, ptr + 4);\n LIBXSMM_ASSIGN127(&devinfo->clHostMemAllocINTEL, ptr + 5);\n LIBXSMM_ASSIGN127(&devinfo->clMemFreeINTEL, ptr + 6);\n }\n else if (0 != n) {\n fprintf(stderr, \"WARN ACC/OpenCL: inconsistent state discovered!\\n\");\n }\n }\n }\n# endif\n# if (0 != ACC_OPENCL_USM)\n { /* OpenCL 2.0 based SVM capabilities */\n const char* const env_usm = getenv(\"ACC_OPENCL_USM\");\n cl_device_svm_capabilities svmcaps = 0;\n if (NULL == env_usm) {\n if (0 == devinfo->nv) { /* vendor workaround (force with ACC_OPENCL_USM=1) */\n result = clGetDeviceInfo(active_id, CL_DEVICE_SVM_CAPABILITIES, sizeof(cl_device_svm_capabilities), &svmcaps, NULL);\n assert(EXIT_SUCCESS == result || 0 == svmcaps);\n }\n }\n else svmcaps = (cl_device_svm_capabilities)atoi(env_usm);\n devinfo->usm = (cl_int)svmcaps;\n }\n# endif\n# if defined(ACC_OPENCL_CMDAGR)\n if (0 != devinfo->intel) { /* device vendor (above) can now be used */\n int result_cmdagr = EXIT_SUCCESS;\n const cl_command_queue q = ACC_OPENCL_CREATE_COMMAND_QUEUE(context, active_id, properties, &result_cmdagr);\n if (EXIT_SUCCESS == result_cmdagr) {\n assert(NULL != q);\n clReleaseCommandQueue(q);\n }\n }\n# endif\n properties[1] = 0;\n if (EXIT_SUCCESS == result) {\n devinfo->stream.queue = ACC_OPENCL_CREATE_COMMAND_QUEUE(context, active_id, properties, &result);\n }\n }\n if (EXIT_SUCCESS == result) {\n if (NULL == devinfo->context || device_id != c_dbcsr_acc_opencl_config.device_id) {\n c_dbcsr_acc_opencl_config.device_id = device_id;\n devinfo->context = context;\n }\n }\n else memset(devinfo, 0, sizeof(*devinfo));\n }\n if (NULL != lock) ACC_OPENCL_RELEASE(lock);\n }\n else result = EXIT_FAILURE;\n }\n else result = EXIT_FAILURE;\n assert(EXIT_SUCCESS == result || NULL == devinfo->context);\n return result;\n}\n\n\nint c_dbcsr_acc_set_active_device(int device_id) {\n /* avoid ACC_OPENCL_PROFILE_DBCSR in this routine */\n int result = EXIT_SUCCESS;\n if (0 <= device_id) {\n# if defined(__DBCSR_ACC) && defined(__OFFLOAD_OPENCL)\n if (0 == c_dbcsr_acc_opencl_config.ndevices) { /* not initialized */\n result = c_dbcsr_acc_init();\n }\n# endif\n }\n else result = EXIT_FAILURE;\n if (EXIT_SUCCESS == result) {\n if (device_id < c_dbcsr_acc_opencl_config.ndevices) {\n# if defined(ACC_OPENCL_CACHE_DID)\n if (c_dbcsr_acc_opencl_active_id != (device_id + 1))\n# endif\n {\n result = c_dbcsr_acc_opencl_set_active_device(c_dbcsr_acc_opencl_config.lock_main, device_id);\n# if defined(ACC_OPENCL_CACHE_DID)\n if (EXIT_SUCCESS == result) c_dbcsr_acc_opencl_active_id = device_id + 1;\n# endif\n }\n }\n else result = EXIT_FAILURE;\n }\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_opencl_flags_atomics(const c_dbcsr_acc_opencl_device_t* devinfo, c_dbcsr_acc_opencl_atomic_fp_t kind,\n const char* exts[], size_t* exts_maxlen, char flags[], size_t flags_maxlen) {\n size_t ext1, ext2;\n int result = 0;\n for (ext1 = 0; ext1 < (NULL != exts_maxlen ? *exts_maxlen : 0); ++ext1) {\n if (NULL == exts[ext1] || '\\0' == *exts[ext1]) break;\n }\n for (ext2 = ext1 + 1; ext2 < (NULL != exts_maxlen ? *exts_maxlen : 0); ++ext2) {\n if (NULL == exts[ext2] || '\\0' == *exts[ext2]) break;\n }\n if (NULL != devinfo && NULL != exts_maxlen && ext2 < *exts_maxlen) {\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n const char* atomic_type = \"\";\n switch (kind) {\n case c_dbcsr_acc_opencl_atomic_fp_64: {\n exts[ext1] = \"cl_khr_fp64 cl_khr_int64_base_atomics cl_khr_int64_extended_atomics\";\n if (2 <= *devinfo->std_level && EXIT_SUCCESS == c_dbcsr_acc_opencl_device_ext(device_id, exts, ext2)) {\n atomic_type = \"-DTA=long -DTA2=atomic_long -DTF=atomic_double\";\n }\n else {\n exts[ext1] = \"cl_khr_fp64 cl_khr_int64_base_atomics\";\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_ext(device_id, exts, ext2)) {\n atomic_type = \"-DTA=long\";\n }\n else { /* fallback */\n exts[ext1] = \"cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics\";\n if (2 <= *devinfo->std_level && EXIT_SUCCESS == c_dbcsr_acc_opencl_device_ext(device_id, exts, ext2)) {\n atomic_type = \"-DATOMIC32_ADD64 -DTA=int -DTA2=atomic_int -DTF=atomic_double\";\n }\n else {\n exts[ext1] = \"cl_khr_fp64 cl_khr_global_int32_base_atomics\";\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_ext(device_id, exts, ext2)) {\n atomic_type = \"-DATOMIC32_ADD64 -DTA=int\";\n }\n else kind = c_dbcsr_acc_opencl_atomic_fp_no;\n }\n }\n }\n } break;\n case c_dbcsr_acc_opencl_atomic_fp_32: {\n exts[ext1] = \"cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics\";\n if (2 <= *devinfo->std_level && EXIT_SUCCESS == c_dbcsr_acc_opencl_device_ext(device_id, exts, ext2)) {\n exts[ext2] = \"cl_khr_int64_base_atomics cl_khr_int64_extended_atomics\";\n atomic_type = \"-DTA=int -DTA2=atomic_int -DTF=atomic_float\";\n }\n else {\n exts[ext1] = \"cl_khr_global_int32_base_atomics\";\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_ext(device_id, exts, ext2)) {\n exts[ext2] = \"cl_khr_int64_base_atomics\";\n atomic_type = \"-DTA=int\";\n }\n else kind = c_dbcsr_acc_opencl_atomic_fp_no;\n }\n } break;\n default: assert(c_dbcsr_acc_opencl_atomic_fp_no == kind);\n }\n if (c_dbcsr_acc_opencl_atomic_fp_no != kind) {\n const char *barrier_expr = NULL, *atomic_exp = NULL, *atomic_ops = \"\";\n const char* const env_barrier = getenv(\"ACC_OPENCL_BARRIER\");\n const char* const env_atomics = getenv(\"ACC_OPENCL_ATOMICS\");\n if (NULL == env_barrier || '0' != *env_barrier) {\n barrier_expr = ((2 <= *devinfo->std_level && (0 == devinfo->intel || (CL_DEVICE_TYPE_CPU != devinfo->type)))\n ? \"-D\\\"BARRIER(A)=work_group_barrier(A,memory_scope_work_group)\\\"\"\n : \"-D\\\"BARRIER(A)=barrier(A)\\\"\");\n }\n else barrier_expr = \"\"; /* no barrier */\n assert(NULL != barrier_expr);\n if (NULL == env_atomics || '0' != *env_atomics) {\n /* can signal/force atomics without confirmation */\n const int force_atomics = ((NULL == env_atomics || '\\0' == *env_atomics) ? 0 : atoi(env_atomics));\n if (NULL == env_atomics || '\\0' == *env_atomics || 0 != force_atomics) {\n cl_bitfield fp_atomics = 0;\n if (EXIT_SUCCESS == clGetDeviceInfo(device_id,\n (cl_device_info)(c_dbcsr_acc_opencl_atomic_fp_64 == kind ? 0x4232 : 0x4231), sizeof(cl_bitfield),\n &fp_atomics, NULL) &&\n 0 != (/*add*/ (1 << 1) & fp_atomics))\n {\n exts[ext2] = \"cl_ext_float_atomics\";\n# if 1 /* enabling this permitted extension in source code causes compiler warning */\n *exts_maxlen = ext2; /* quietly report extension by reducing exts_maxlen */\n# endif\n atomic_exp = (c_dbcsr_acc_opencl_atomic_fp_64 == kind\n ? \"atomic_fetch_add_explicit((GLOBAL_VOLATILE(atomic_double)*)A,B,\"\n \"memory_order_relaxed,memory_scope_work_group)\"\n : \"atomic_fetch_add_explicit((GLOBAL_VOLATILE(atomic_float)*)A,B,\"\n \"memory_order_relaxed,memory_scope_work_group)\");\n }\n else if (0 != force_atomics || (0 != devinfo->intel && ((0x4905 != devinfo->uid && 0 == devinfo->unified)))) {\n if ((((0 != force_atomics || (0 != devinfo->intel && ((0x0bd0 <= devinfo->uid && 0x0bdb >= devinfo->uid) ||\n c_dbcsr_acc_opencl_atomic_fp_32 == kind))))))\n {\n if (0 == force_atomics && (0 == devinfo->intel || 0x0bd0 > devinfo->uid || 0x0bdb < devinfo->uid)) {\n exts[ext2] = \"cl_intel_global_float_atomics\";\n atomic_ops = \"-Dcl_intel_global_float_atomics\";\n }\n else {\n atomic_ops = ((2 > *devinfo->std_level && 2 > force_atomics)\n ? \"-DATOMIC_PROTOTYPES=1\"\n : (3 > force_atomics ? \"-DATOMIC_PROTOTYPES=2\" : \"-DATOMIC_PROTOTYPES=3\"));\n }\n atomic_exp = ((2 > *devinfo->std_level && 2 > force_atomics) ? \"atomic_add(A,B)\"\n : \"atomic_fetch_add_explicit((GLOBAL_VOLATILE(TF)*)A,B,\"\n \"memory_order_relaxed,memory_scope_work_group)\");\n }\n else {\n atomic_exp = \"atomic_add_global_cmpxchg(A,B)\";\n atomic_ops = \"-DCMPXCHG=atom_cmpxchg\";\n }\n }\n else if (0 == devinfo->nv) {\n if (1 >= devinfo->amd) {\n atomic_ops = (c_dbcsr_acc_opencl_atomic_fp_32 == kind ? \"-DCMPXCHG=atomic_cmpxchg\" : \"-DCMPXCHG=atom_cmpxchg\");\n atomic_exp = \"atomic_add_global_cmpxchg(A,B)\";\n exts[ext2] = NULL;\n }\n else { /* GCN */\n atomic_exp = (c_dbcsr_acc_opencl_atomic_fp_64 == kind\n ? \"__builtin_amdgcn_global_atomic_fadd_f64(A,B,__ATOMIC_RELAXED,__OPENCL_MEMORY_SCOPE_WORK_GROUP)\"\n : \"__builtin_amdgcn_global_atomic_fadd_f32(A,B,__ATOMIC_RELAXED,__OPENCL_MEMORY_SCOPE_WORK_GROUP)\");\n }\n }\n else { /* xchg */\n assert(NULL != atomic_ops && '\\0' == *atomic_ops);\n atomic_exp = \"atomic_add_global_xchg(A,B)\";\n }\n }\n else if (NULL != LIBXSMM_STRISTR(env_atomics, \"cmpxchg\")) {\n atomic_ops = (c_dbcsr_acc_opencl_atomic_fp_32 == kind ? \"-DCMPXCHG=atomic_cmpxchg\" : \"-DCMPXCHG=atom_cmpxchg\");\n atomic_exp = \"atomic_add_global_cmpxchg(A,B)\";\n exts[ext2] = NULL;\n }\n else { /* xchg */\n atomic_exp = \"atomic_add_global_xchg(A,B)\";\n atomic_ops = (c_dbcsr_acc_opencl_atomic_fp_32 == kind ? \"-DXCHG=atomic_xchg\" : \"-DXCHG=atom_xchg\");\n }\n }\n else { /* unsynchronized */\n atomic_exp = \"*(A)+=(B)\"; /* non-atomic update */\n }\n assert(NULL != atomic_exp);\n /* compose build parameters and flags */\n result = LIBXSMM_SNPRINTF(flags, flags_maxlen, \" -DTAN=%i %s %s -D\\\"ATOMIC_ADD_GLOBAL(A,B)=%s\\\" %s\", kind, atomic_type,\n atomic_ops, atomic_exp, barrier_expr);\n }\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_defines(const char defines[], char buffer[], size_t buffer_size, int cleanup) {\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n int result = 0;\n if (NULL != buffer && NULL != devinfo->context) {\n const int std_clevel = 100 * devinfo->std_clevel[0] + 10 * devinfo->std_clevel[1];\n const int std_level = 100 * devinfo->std_level[0] + 10 * devinfo->std_level[1];\n result = LIBXSMM_SNPRINTF(buffer, buffer_size, \" -DACC_OPENCL_VERSION=%u -DACC_OPENCL_C_VERSION=%u%s\", std_level, std_clevel,\n 0 == c_dbcsr_acc_opencl_config.debug ? \" -DNDEBUG\" : \"\");\n if (0 < result && (int)buffer_size > result) {\n const int n = LIBXSMM_SNPRINTF(\n buffer + result, buffer_size - result, ' ' != buffer[result - 1] ? \" %s\" : \"%s\", NULL != defines ? defines : \"\");\n if (0 <= n) {\n if ((int)buffer_size > (result += n) && 0 != cleanup) {\n char* replace = strpbrk(buffer + result - n, \"\\\"\"); /* more portable (system/cpp needs quotes to protect braces) */\n for (; NULL != replace; replace = strpbrk(replace + 1, \"\\\"\")) *replace = ' ';\n }\n }\n else result = -1;\n }\n }\n else result = -1;\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_kernel_flags(const char build_params[], const char build_options[], const char try_options[],\n cl_program program, char buffer[], size_t buffer_size) {\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n int result = EXIT_SUCCESS, nchar = 0;\n assert(NULL != program && (NULL != buffer || 0 == buffer_size));\n nchar = c_dbcsr_acc_opencl_defines(build_params, buffer, buffer_size, 1 /*cleanup*/);\n if (0 <= nchar && (int)buffer_size > nchar) {\n const int debug = (0 != c_dbcsr_acc_opencl_config.debug && 0 != devinfo->intel && CL_DEVICE_TYPE_CPU != devinfo->type);\n int n = LIBXSMM_SNPRINTF(buffer + nchar, buffer_size - nchar, \" %s%s %s\", 0 == debug ? \"\" : \"-gline-tables-only \",\n devinfo->std_flag, NULL != build_options ? build_options : \"\");\n if (0 <= n) {\n nchar += n;\n if (NULL != try_options && '\\0' != *try_options) { /* length is not reported in result */\n n = LIBXSMM_SNPRINTF(buffer + nchar, buffer_size - nchar, \" %s\", try_options);\n if (0 > n || (int)buffer_size <= (nchar + n)) buffer[nchar] = '\\0';\n }\n }\n else nchar = n;\n }\n if (0 <= nchar && (int)buffer_size > nchar) { /* check if internal flags apply */\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n result = clBuildProgram(program, 1 /*num_devices*/, &device_id, buffer, NULL /*callback*/, NULL /*user_data*/);\n if (EXIT_SUCCESS != result) { /* failed to apply internal flags */\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseProgram(program)); /* avoid unclean state */\n buffer[nchar] = '\\0'; /* remove internal flags */\n }\n }\n else result = EXIT_FAILURE;\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_kernel(size_t source_kind, const char source[], const char kernel_name[], const char build_params[],\n const char build_options[], const char try_options[], int* try_ok, const char* const extnames[], size_t num_exts,\n cl_kernel* kernel) {\n char buffer[ACC_OPENCL_BUFFERSIZE] = \"\", buffer_name[ACC_OPENCL_MAXSTRLEN * 2];\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n int result = ((NULL != source && NULL != kernel_name && '\\0' != *kernel_name) ? EXIT_SUCCESS : EXIT_FAILURE);\n int ok = EXIT_SUCCESS, source_is_cl = (2 > source_kind), nchar = 0;\n size_t size_src = 0, size = 0;\n cl_program program = NULL;\n FILE* file_src = NULL;\n assert(NULL != devinfo->context);\n assert(NULL != kernel);\n *kernel = NULL;\n if (EXIT_SUCCESS == result && (1 == source_kind)) file_src = fopen(source, \"rb\");\n if (NULL != file_src) {\n if (EXIT_SUCCESS == result) {\n const char* const file_ext = strrchr(source, '.');\n char* src = NULL;\n source_is_cl = ((NULL != file_ext && NULL != LIBXSMM_STRISTR(file_ext + 1, \"cl\")) ? 1 : 0);\n size_src = (EXIT_SUCCESS == fseek(file_src, 0 /*offset*/, SEEK_END) ? ftell(file_src) : 0);\n src = (char*)((0 != size_src && EXIT_SUCCESS == fseek(file_src, 0 /*offset*/, SEEK_SET))\n ? libxsmm_aligned_scratch(size_src + source_is_cl /*terminator?*/, 0 /*auto-align*/)\n : NULL);\n if (NULL != src) {\n if (size_src == fread(src, 1 /*sizeof(char)*/, size_src /*count*/, file_src)) {\n if (0 != source_is_cl) src[size_src] = '\\0'; /* terminator */\n source = src;\n }\n else {\n result = EXIT_FAILURE;\n libxsmm_free(src);\n }\n }\n else result = EXIT_FAILURE;\n }\n fclose(file_src);\n }\n else size_src = source_kind;\n if (EXIT_SUCCESS == result && 0 != source_is_cl) {\n const char* ext_source = source;\n size_src = strlen(ext_source);\n if (NULL != extnames) {\n int n = num_exts, nflat = 0;\n size_t size_ext = 0;\n for (; 0 < n; --n) {\n if (NULL != extnames[n - 1]) {\n const char* const end = buffer + strlen(extnames[n - 1]); /* before strtok */\n char* ext = strtok(strncpy(buffer, extnames[n - 1], ACC_OPENCL_BUFFERSIZE - 1), ACC_OPENCL_DELIMS \" \\t\");\n for (; NULL != ext; ext = ((ext + 1) < end ? strtok((ext + 1) + strlen(ext), ACC_OPENCL_DELIMS \" \\t\") : NULL), ++nflat) {\n size_ext += strlen(ext);\n }\n }\n }\n if (0 < size_ext && 0 < nflat) {\n const char* const enable_ext = \"#pragma OPENCL EXTENSION %s : enable\\n\";\n const size_t size_src_ext = size_src + size_ext + nflat * (strlen(enable_ext) - 2 /*%s*/);\n char* const ext_source_buffer = (char*)libxsmm_aligned_scratch(size_src_ext + 1 /*terminator*/, 0 /*auto-align*/);\n if (NULL != ext_source_buffer) {\n for (n = 0; 0 < num_exts; --num_exts) {\n if (NULL != extnames[num_exts - 1]) {\n const char* const end = buffer_name + strlen(extnames[num_exts - 1]); /* before strtok */\n char* ext = strtok(\n strncpy(buffer_name, extnames[num_exts - 1], ACC_OPENCL_MAXSTRLEN * 2 - 1), ACC_OPENCL_DELIMS \" \\t\");\n for (; NULL != ext; ext = ((ext + 1) < end ? strtok((ext + 1) + strlen(ext), ACC_OPENCL_DELIMS \" \\t\") : NULL)) {\n const char* line = source;\n for (;;) {\n if (2 != sscanf(line, \"#pragma OPENCL EXTENSION %[^: ]%*[: ]%[^\\n]\", buffer, buffer + ACC_OPENCL_BUFFERSIZE / 2))\n {\n line = NULL;\n break;\n }\n else if (0 == strncmp(buffer, ext, ACC_OPENCL_BUFFERSIZE / 2) &&\n 0 == strncmp(buffer + ACC_OPENCL_BUFFERSIZE / 2, \"enable\", ACC_OPENCL_BUFFERSIZE / 2))\n {\n break;\n }\n line = strchr(line, '\\n');\n if (NULL != line) {\n ++line;\n }\n else break;\n }\n# if !defined(NDEBUG)\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_ext(device_id, (const char* const*)&ext, 1))\n# endif\n { /* NDEBUG: assume given extension is supported (confirmed upfront) */\n if (NULL == line) { /* extension is not already part of source */\n n += LIBXSMM_SNPRINTF(ext_source_buffer + n, size_src_ext + 1 /*terminator*/ - n, enable_ext, ext);\n }\n }\n# if !defined(NDEBUG)\n else if (0 != strcmp(\"cl_intel_global_float_atomics\", ext)) {\n fprintf(stderr, \"WARN ACC/OpenCL: extension \\\"%s\\\" is not supported.\\n\", ext);\n }\n# endif\n }\n }\n }\n memcpy(ext_source_buffer + n, source, size_src);\n size_src += n; /* according to given/permitted extensions */\n assert(size_src <= size_src_ext);\n ext_source_buffer[size_src] = '\\0';\n ext_source = ext_source_buffer;\n }\n }\n buffer[0] = '\\0'; /* reset to empty */\n }\n /* cpp: consider to preprocess kernel (failure does not impact result code) */\n if (0 != c_dbcsr_acc_opencl_config.dump && NULL == file_src) {\n char dump_filename[ACC_OPENCL_MAXSTRLEN];\n nchar = LIBXSMM_SNPRINTF(dump_filename, sizeof(dump_filename), \"%s.cl\", kernel_name);\n if (0 < nchar && (int)sizeof(dump_filename) > nchar) {\n const int std_flag_len = (int)strlen(devinfo->std_flag);\n const char* const env_cpp = getenv(\"ACC_OPENCL_CPP\");\n const int cpp = (NULL == env_cpp ? 1 /*default*/ : atoi(env_cpp));\n# if defined(ACC_OPENCL_CPPBIN)\n FILE* const file_cpp = (0 != cpp ? fopen(ACC_OPENCL_CPPBIN, \"rb\") : NULL);\n# else\n FILE* const file_cpp = NULL;\n# endif\n int file_dmp = -1;\n if (NULL != file_cpp) {\n nchar = LIBXSMM_SNPRINTF(buffer_name, sizeof(buffer_name), ACC_OPENCL_TEMPDIR \"/.%s.XXXXXX\", kernel_name);\n if (0 < nchar && (int)sizeof(buffer_name) > nchar) file_dmp = mkstemp(buffer_name);\n fclose(file_cpp); /* existence-check */\n }\n else file_dmp = open(dump_filename, O_CREAT | O_TRUNC | O_RDWR, S_IREAD | S_IWRITE);\n if (0 <= file_dmp) {\n if ((0 != std_flag_len &&\n (3 != write(file_dmp, \"/*\\n\", 3) || std_flag_len != write(file_dmp, devinfo->std_flag, std_flag_len) ||\n 4 != write(file_dmp, \"\\n*/\\n\", 4))) ||\n size_src != (size_t)write(file_dmp, ext_source, size_src))\n {\n file_dmp = -1;\n }\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == close(file_dmp));\n }\n# if defined(ACC_OPENCL_CPPBIN)\n if (NULL != file_cpp && 0 <= file_dmp) { /* preprocess source-code */\n const char* sed_pattern = \"\";\n# if defined(ACC_OPENCL_SEDBIN)\n FILE* const file_sed = fopen(ACC_OPENCL_SEDBIN, \"rb\");\n if (NULL != file_sed) {\n sed_pattern = \"| \" ACC_OPENCL_SEDBIN \" '/^[[:space:]]*\\\\(\\\\/\\\\/.*\\\\)*$/d'\";\n fclose(file_sed); /* existence-check */\n }\n# endif\n nchar = LIBXSMM_SNPRINTF(\n buffer, ACC_OPENCL_BUFFERSIZE, ACC_OPENCL_CPPBIN \" -P -C -nostdinc %s\", 0 == devinfo->nv ? \"\" : \"-D__NV_CL_C_VERSION \");\n if (0 < nchar && ACC_OPENCL_BUFFERSIZE > nchar) {\n int n = c_dbcsr_acc_opencl_defines(build_params, buffer + nchar, ACC_OPENCL_BUFFERSIZE - nchar, 0 /*cleanup*/);\n if (0 <= n && ACC_OPENCL_BUFFERSIZE > (nchar += n)) {\n n = LIBXSMM_SNPRINTF(buffer + nchar, ACC_OPENCL_BUFFERSIZE - nchar,\n ' ' != buffer[nchar - 1] ? \" %s %s >%s\" : \"%s %s >%s\", buffer_name, sed_pattern, dump_filename);\n }\n nchar = (0 <= n ? nchar : 0) + n;\n }\n if (0 < nchar && ACC_OPENCL_BUFFERSIZE > nchar && EXIT_SUCCESS == system(buffer)) {\n FILE* const file = fopen(dump_filename, \"r\");\n if (NULL != file) {\n const long int size_file = (EXIT_SUCCESS == fseek(file, 0 /*offset*/, SEEK_END) ? ftell(file) : 0);\n char* const src = (char*)(EXIT_SUCCESS == fseek(file, 0 /*offset*/, SEEK_SET)\n ? libxsmm_aligned_scratch(size_file + 1 /*terminator*/, 0 /*auto-align*/)\n : NULL);\n if (NULL != src) {\n if ((size_t)size_file == fread(src, 1 /*sizeof(char)*/, size_file /*count*/, file)) {\n if (source != ext_source) {\n void* p = NULL;\n LIBXSMM_ASSIGN127(&p, &ext_source);\n libxsmm_free(p);\n }\n src[size_file] = '\\0';\n ext_source = src;\n }\n else libxsmm_free(src);\n }\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == fclose(file));\n }\n }\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == unlink(buffer_name)); /* remove temporary file */\n buffer[0] = '\\0'; /* reset to empty */\n }\n# endif\n }\n }\n program = clCreateProgramWithSource(devinfo->context, 1 /*nlines*/, &ext_source, NULL, &result);\n assert(EXIT_SUCCESS != result || NULL != program);\n if (EXIT_SUCCESS == result) {\n ok = c_dbcsr_acc_opencl_kernel_flags(build_params, build_options, try_options, program, buffer, ACC_OPENCL_BUFFERSIZE);\n if (EXIT_SUCCESS == ok) result = ok;\n else {\n program = clCreateProgramWithSource(devinfo->context, 1 /*nlines*/, &ext_source, NULL, &result);\n assert(EXIT_SUCCESS != result || NULL != program);\n if (EXIT_SUCCESS == result) {\n result = clBuildProgram(program, 1 /*num_devices*/, &device_id, buffer, NULL /*callback*/, NULL /*user_data*/);\n ok = EXIT_FAILURE;\n }\n }\n }\n if (EXIT_SUCCESS == result) {\n if (source != ext_source) {\n void* p = NULL;\n LIBXSMM_ASSIGN127(&p, &ext_source);\n libxsmm_free(p);\n }\n buffer[0] = '\\0'; /* reset to empty */\n if (EXIT_SUCCESS == result) { /* extract kernel */\n *kernel = clCreateKernel(program, kernel_name, &result);\n if (EXIT_SUCCESS == result) {\n assert(NULL != *kernel);\n if (NULL == file_src && (2 <= c_dbcsr_acc_opencl_config.dump || 0 > c_dbcsr_acc_opencl_config.dump)) {\n unsigned char* binary = NULL;\n binary = (unsigned char*)(EXIT_SUCCESS ==\n clGetProgramInfo(program, CL_PROGRAM_BINARY_SIZES, sizeof(size_t), &size, NULL)\n ? libxsmm_aligned_scratch(size, 0 /*auto-align*/)\n : NULL);\n if (NULL != binary) {\n result = clGetProgramInfo(program, CL_PROGRAM_BINARIES, sizeof(unsigned char*), &binary, NULL);\n if (EXIT_SUCCESS == result) { /* successfully queried program binary */\n FILE* file;\n nchar = LIBXSMM_SNPRINTF(buffer, ACC_OPENCL_BUFFERSIZE, \"%s.dump\", kernel_name);\n file = ((0 < nchar && ACC_OPENCL_BUFFERSIZE > nchar) ? fopen(buffer, \"wb\") : NULL);\n buffer[0] = '\\0'; /* reset to empty */\n if (NULL != file) {\n if (size != fwrite(binary, 1, size, file)) result = EXIT_FAILURE;\n fclose(file);\n }\n else result = EXIT_FAILURE;\n }\n libxsmm_free(binary);\n }\n else result = EXIT_FAILURE;\n }\n }\n }\n }\n else if (source != ext_source) { /* error: creating program */\n void* p = NULL;\n LIBXSMM_ASSIGN127(&p, &ext_source);\n libxsmm_free(p);\n }\n }\n else if (EXIT_SUCCESS == result) { /* binary representation */\n assert(1 < size_src || 0 == size_src);\n# if defined(CL_VERSION_2_1)\n if (0 != c_dbcsr_acc_opencl_config.dump) program = clCreateProgramWithIL(devinfo->context, source, size_src, &result);\n else\n# endif\n {\n program = clCreateProgramWithBinary(\n devinfo->context, 1, &device_id, &size_src, (const unsigned char**)&source, NULL /*binary_status*/, &result);\n }\n assert(EXIT_SUCCESS != result || NULL != program);\n if (EXIT_SUCCESS == result) {\n ok = c_dbcsr_acc_opencl_kernel_flags(build_params, build_options, try_options, program, buffer, ACC_OPENCL_BUFFERSIZE);\n if (EXIT_SUCCESS == ok) result = ok;\n else {\n# if defined(CL_VERSION_2_1)\n if (0 != c_dbcsr_acc_opencl_config.dump) program = clCreateProgramWithIL(devinfo->context, source, size_src, &result);\n else\n# endif\n {\n program = clCreateProgramWithBinary(\n devinfo->context, 1, &device_id, &size_src, (const unsigned char**)&source, NULL /*binary_status*/, &result);\n }\n assert(EXIT_SUCCESS != result || NULL != program);\n if (EXIT_SUCCESS == result) {\n result = clBuildProgram(program, 1 /*num_devices*/, &device_id, buffer, NULL /*callback*/, NULL /*user_data*/);\n ok = EXIT_FAILURE;\n }\n }\n }\n if (EXIT_SUCCESS == result) {\n *kernel = clCreateKernel(program, kernel_name, &result);\n# if defined(CL_VERSION_1_2)\n /* error creating kernel: discover available kernels in program, and adopt the last kernel listed */\n if (EXIT_SUCCESS != result &&\n EXIT_SUCCESS == clGetProgramInfo(program, CL_PROGRAM_KERNEL_NAMES, sizeof(char*), buffer, NULL) && '\\0' != *buffer)\n {\n const char *const semicolon = strrchr(buffer, ';'), *const name = (NULL == semicolon ? buffer : (semicolon + 1));\n *kernel = clCreateKernel(program, name, &result);\n }\n# endif\n assert(EXIT_SUCCESS != result || NULL != *kernel);\n }\n }\n if (NULL != file_src) {\n void* p = NULL;\n LIBXSMM_ASSIGN127(&p, (const void**)&source);\n assert(1 == source_kind);\n libxsmm_free(p);\n }\n if (NULL != program) {\n if (EXIT_SUCCESS != result && NULL != *kernel) {\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseKernel(*kernel));\n *kernel = NULL;\n }\n if (2 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) {\n if (EXIT_SUCCESS == clGetProgramBuildInfo(program, device_id, CL_PROGRAM_BUILD_LOG, ACC_OPENCL_BUFFERSIZE, buffer, &size)) {\n const char* info = buffer;\n while ('\\0' != *info && NULL != strchr(\"\\n\\r\\t \", *info)) ++info; /* remove preceding newline etc. */\n assert(NULL != kernel_name && '\\0' != *kernel_name);\n if ('\\0' != *info) fprintf(stderr, \"INFO ACC/OpenCL: %s -> %s\\n\", kernel_name, info);\n }\n else buffer[0] = '\\0'; /* reset to empty */\n }\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseProgram(program)); /* release in any case (EXIT_SUCCESS) */\n }\n if (NULL != try_ok) *try_ok = result | ok;\n ACC_OPENCL_RETURN(result, buffer);\n}\n\n\nint c_dbcsr_acc_opencl_set_kernel_ptr(cl_kernel kernel, cl_uint arg_index, const void* arg_value) {\n c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n int result = EXIT_FAILURE;\n assert(NULL != devinfo->context);\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clSetKernelArgMemPointerINTEL) {\n result = devinfo->clSetKernelArgMemPointerINTEL(kernel, arg_index, arg_value);\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM)\n if (0 != devinfo->usm)\n {\n result = clSetKernelArgSVMPointer(kernel, arg_index, arg_value);\n }\n else\n# elif defined(NDEBUG)\n LIBXSMM_UNUSED(devinfo);\n# endif\n {\n result = clSetKernelArg(kernel, arg_index, sizeof(cl_mem), &arg_value);\n }\n ACC_OPENCL_RETURN(result);\n}\n\n\ndouble c_dbcsr_acc_opencl_duration(cl_event event, int* result_code) {\n cl_ulong begin = 0, end = 0;\n int r = EXIT_FAILURE;\n double result = 0;\n if (NULL != event) {\n r = clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_START, sizeof(cl_ulong), &begin, NULL);\n if (EXIT_SUCCESS == r) {\n r = clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &end, NULL);\n if (EXIT_SUCCESS == r) {\n result = 1E-9 * LIBXSMM_DELTA(begin, end); /* Nanoseconds->seconds */\n }\n }\n }\n if (NULL != result_code) *result_code = r;\n return result;\n}\n\n\ntypedef struct c_dbcsr_acc_opencl_hist_t {\n c_dbcsr_acc_opencl_hist_update_fn* update;\n double *vals, min, max;\n int *buckets, nbuckets, nqueue, nvals, n;\n} c_dbcsr_acc_opencl_hist_t;\n\n\nvoid c_dbcsr_acc_opencl_hist_create(\n void** hist, int nbuckets, int nqueue, int nvals, const c_dbcsr_acc_opencl_hist_update_fn update[]) {\n c_dbcsr_acc_opencl_hist_t* h = (c_dbcsr_acc_opencl_hist_t*)malloc(sizeof(c_dbcsr_acc_opencl_hist_t));\n assert(NULL != hist && 0 < nbuckets && 0 < nqueue && 0 < nvals && NULL != update);\n if (NULL != h) {\n h->vals = (double*)malloc(sizeof(double) * LIBXSMM_MAX(nbuckets, nqueue) * nvals);\n h->update = (c_dbcsr_acc_opencl_hist_update_fn*)malloc(sizeof(c_dbcsr_acc_opencl_hist_update_fn) * nvals);\n h->buckets = (int*)calloc(nbuckets, sizeof(int));\n if (NULL != h->vals && NULL != h->buckets && NULL != h->update) {\n union {\n int raw;\n float value;\n } inf = {0};\n# if defined(INFINITY) && /*overflow warning*/ !defined(_CRAYC)\n inf.value = (float)(INFINITY);\n# else\n inf.raw = 0x7F800000;\n# endif\n h->min = +inf.value;\n h->max = -inf.value;\n h->nbuckets = nbuckets;\n h->nqueue = nqueue;\n h->nvals = nvals;\n /* if update[] is NULL, c_dbcsr_acc_opencl_hist_avg is assumed */\n for (h->n = 0; h->n < nvals; ++h->n) h->update[h->n] = update[h->n];\n h->n = 0;\n }\n else {\n free(h->buckets);\n free(h->vals);\n free(h);\n h = NULL;\n }\n }\n *hist = h;\n}\n\n\nvoid c_dbcsr_acc_opencl_hist_avg(double* dst, const double* src) {\n assert(NULL != dst && NULL != src);\n *dst = 0.5 * (*dst + *src);\n}\n\n\nvoid c_dbcsr_acc_opencl_hist_add(double* dst, const double* src) {\n assert(NULL != dst && NULL != src);\n *dst += *src;\n}\n\n\nvoid c_dbcsr_acc_opencl_hist_set(ACC_OPENCL_LOCKTYPE* lock, void* hist, const double vals[]) {\n if (NULL != hist) {\n c_dbcsr_acc_opencl_hist_t* const h = (c_dbcsr_acc_opencl_hist_t*)hist;\n int i, j, k;\n if (NULL != lock) ACC_OPENCL_ACQUIRE(lock);\n if (h->nqueue <= h->n) {\n const double *values, w = h->max - h->min;\n const int* buckets;\n if (h->nqueue == h->n) {\n c_dbcsr_acc_opencl_hist_get(NULL /*lock*/, hist, &buckets, NULL /*nbuckets*/, NULL /*range*/, &values, NULL /*nvals*/);\n }\n for (i = 1; i <= h->nbuckets; ++i) {\n const double q = h->min + i * w / h->nbuckets;\n if (vals[0] <= q || h->nbuckets == i) {\n for (k = 0, j = (i - 1) * h->nvals; k < h->nvals; ++k) {\n if (0 != h->buckets[i - 1]) {\n (NULL != h->update[k] ? h->update[k] : c_dbcsr_acc_opencl_hist_avg)(h->vals + (j + k), vals + k);\n }\n else h->vals[j + k] = vals[k]; /* initialize */\n }\n ++h->buckets[i - 1];\n break;\n }\n }\n }\n else { /* fill-phase */\n if (h->min > vals[0]) h->min = vals[0];\n if (h->max < vals[0]) h->max = vals[0];\n for (k = 0, j = h->nvals * h->n; k < h->nvals; ++k) {\n h->vals[j + k] = vals[k];\n }\n }\n ++h->n; /* count number of accumulated values */\n if (NULL != lock) ACC_OPENCL_RELEASE(lock);\n }\n}\n\n\nvoid c_dbcsr_acc_opencl_hist_get(\n ACC_OPENCL_LOCKTYPE* lock, void* hist, const int** buckets, int* nbuckets, double range[2], const double** vals, int* nvals) {\n int *b = NULL, m = 0, n = 0, i, j, k;\n double *v = NULL, r[] = {0, 0};\n assert(NULL != buckets || NULL != range || NULL != vals);\n if (NULL != hist) {\n c_dbcsr_acc_opencl_hist_t* const h = (c_dbcsr_acc_opencl_hist_t*)hist;\n if (NULL != lock) ACC_OPENCL_ACQUIRE(lock);\n if (h->n <= h->nqueue) {\n const double w = h->max - h->min;\n if (h->n < h->nbuckets) h->nbuckets = h->n;\n for (i = 1, j = 0; i <= h->nbuckets; j = h->nvals * i++) {\n const double p = h->min + (i - 1) * w / h->nbuckets, q = h->min + i * w / h->nbuckets;\n for (n = 0, m = 0; n < h->n; m = ++n * h->nvals) {\n if (0 == h->buckets[n] && (p < h->vals[m] || 1 == i) && (h->vals[m] <= q || h->nbuckets == i)) {\n if (j != m) {\n if (0 != h->buckets[i - 1]) { /* accumulate */\n for (k = 0; k < h->nvals; ++k) {\n (NULL != h->update[k] ? h->update[k] : c_dbcsr_acc_opencl_hist_avg)(h->vals + (j + k), h->vals + (m + k));\n }\n }\n else { /* initialize/swap */\n for (k = 0; k < h->nvals; ++k) {\n const double value = h->vals[m + k];\n h->vals[m + k] = h->vals[j + k];\n h->vals[j + k] = value;\n }\n }\n }\n ++h->buckets[i - 1];\n }\n }\n }\n h->nqueue = 0;\n }\n if (0 < h->n) {\n r[0] = h->min;\n r[1] = h->max;\n b = h->buckets;\n n = h->nbuckets;\n v = h->vals;\n m = h->nvals;\n }\n if (NULL != lock) ACC_OPENCL_RELEASE(lock);\n }\n if (NULL != nbuckets) *nbuckets = n;\n if (NULL != buckets) *buckets = b;\n if (NULL != nvals) *nvals = m;\n if (NULL != vals) *vals = v;\n if (NULL != range) {\n range[0] = r[0];\n range[1] = r[1];\n }\n}\n\n\nvoid c_dbcsr_acc_opencl_hist_print(\n FILE* stream, void* hist, const char title[], const int prec[], const c_dbcsr_acc_opencl_hist_adjust_fn adjust[]) {\n int nbuckets = 0, nvals = 0, i = 1, j = 0, k;\n const int* buckets = NULL;\n const double* vals = NULL;\n double range[2];\n c_dbcsr_acc_opencl_hist_get(NULL /*lock*/, hist, &buckets, &nbuckets, range, &vals, &nvals);\n if (NULL != stream && NULL != buckets && 0 < nbuckets && NULL != vals && 0 < nvals) {\n const double w = range[1] - range[0];\n if (NULL != title) fprintf(stream, \"%s pid=%u\\n\", title, libxsmm_get_pid());\n for (; i <= nbuckets; j = nvals * i++) {\n const double q = range[0] + i * w / nbuckets, r = (i != nbuckets ? q : LIBXSMM_MAX(q, vals[j]));\n const int c = buckets[i - 1];\n if (NULL != prec) fprintf(stream, \"\\t#%i <= %.*f: %i\", i, prec[0], r, c);\n else fprintf(stream, \"\\t#%i <= %f: %i\", i, r, c);\n if (0 != c) {\n fprintf(stream, \" ->\");\n for (k = 0; k < nvals; ++k) {\n double value;\n if (NULL == adjust || NULL == adjust[k]) value = vals[j + k];\n else value = adjust[k](vals[j + k], c);\n if (NULL != prec) fprintf(stream, \" %.*f\", prec[k], value);\n else fprintf(stream, \" %f\", value);\n }\n }\n fprintf(stream, \"\\n\");\n }\n }\n}\n\n\nvoid c_dbcsr_acc_opencl_hist_free(void* hist) {\n if (NULL != hist) {\n c_dbcsr_acc_opencl_hist_t* const h = (c_dbcsr_acc_opencl_hist_t*)hist;\n free(h->buckets);\n free(h->update);\n free(h->vals);\n free(h);\n }\n}\n\n\nconst char* c_dbcsr_acc_opencl_stristrn(const char a[], const char b[], size_t maxlen) {\n const char* result = NULL;\n if (NULL != a && NULL != b && '\\0' != *a && '\\0' != *b && 0 != maxlen) {\n do {\n if (tolower(*a) != tolower(*b)) ++a;\n else {\n const char* c = b;\n size_t i = 0;\n result = a;\n while ('\\0' != c[++i] && i != maxlen && '\\0' != *++a) {\n if (tolower(*a) != tolower(c[i])) {\n result = NULL;\n break;\n }\n }\n if ('\\0' != c[i] && '\\0' != c[i + 1] && c[i] != c[i + 1] && i != maxlen) {\n result = NULL;\n }\n else break;\n }\n } while ('\\0' != *a);\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_strimatch(const char a[], const char b[], const char delims[], int* count) {\n int result = 0, na = 0, nb = 0;\n if (NULL != a && NULL != b && '\\0' != *a && '\\0' != *b) {\n const char* const sep = ((NULL == delims || '\\0' == *delims) ? \" \\t;,:-\" : delims);\n const char *c, *tmp;\n char s[2] = {'\\0'};\n size_t m, n;\n for (;;) {\n while (*s = *b, NULL != strpbrk(s, sep)) ++b; /* left-trim */\n if ('\\0' != *b && '[' != *b) ++nb; /* count words */\n else break;\n tmp = b;\n while ('\\0' != *tmp && (*s = *tmp, NULL == strpbrk(s, sep))) ++tmp;\n m = tmp - b;\n c = c_dbcsr_acc_opencl_stristrn(a, b, LIBXSMM_MIN(1, m));\n if (NULL != c) {\n const char* d = c;\n while ('\\0' != *d && (*s = *d, NULL == strpbrk(s, sep))) ++d;\n n = d - c;\n if (1 >= n || NULL != c_dbcsr_acc_opencl_stristrn(c, b, LIBXSMM_MIN(m, n))) ++result;\n }\n b = tmp;\n }\n for (;;) { /* count number of words */\n while (*s = *a, NULL != strpbrk(s, sep)) ++a; /* left-trim */\n if ('\\0' != *a && '[' != *a) ++na; /* count words */\n else break;\n while ('\\0' != *a && (*s = *a, NULL == strpbrk(s, sep))) ++a;\n }\n if (na < result) result = na;\n }\n else result = -1;\n if (NULL != count) *count = LIBXSMM_MAX(na, nb);\n return result;\n}\n\n# if defined(__cplusplus)\n}\n# endif\n\n#endif /*__OPENCL*/\n" }, { "path": "src/acc/opencl/acc_opencl.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#ifndef ACC_OPENCL_H\n#define ACC_OPENCL_H\n\n/* Support for other libraries, e.g., CP2K's DBM/DBT */\n#if defined(__OFFLOAD_OPENCL) && !defined(__OPENCL)\n# define __OPENCL\n#endif\n\n#if defined(__OPENCL)\n# if !defined(CL_TARGET_OPENCL_VERSION)\n# define CL_TARGET_OPENCL_VERSION 220\n# endif\n# if defined(__APPLE__)\n# include \n# else\n# include \n# endif\n#else\n# error Definition of __OPENCL preprocessor symbol is missing!\n#endif\n\n#if !defined(ACC_OPENCL_NOEXT)\n# if defined(__APPLE__)\n# include \n# else\n# include \n# endif\n#endif\n\n#if !defined(LIBXSMM_SYNC_NPAUSE)\n# define LIBXSMM_SYNC_NPAUSE 0\n#endif\n\n#if defined(__LIBXSMM) && !defined(LIBXSMM_DEFAULT_CONFIG)\n# include \n# if !defined(LIBXSMM_TIMER_H)\n# include \n# endif\n# if !defined(LIBXSMM_SYNC_H)\n# include \n# endif\n#else\n/* OpenCL backend depends on LIBXSMM */\n# include \n# if !defined(__LIBXSMM)\n# define __LIBXSMM\n# endif\n#endif\n\n#if !defined(LIBXSMM_VERSION_NUMBER)\n# define LIBXSMM_VERSION_NUMBER \\\n LIBXSMM_VERSION4(LIBXSMM_VERSION_MAJOR, LIBXSMM_VERSION_MINOR, LIBXSMM_VERSION_UPDATE, LIBXSMM_VERSION_PATCH)\n#endif\n\n#include \"../acc.h\"\n#if !defined(NDEBUG)\n# include \n#endif\n#include \n#include \n\n#if !defined(ACC_OPENCL_CACHELINE)\n# define ACC_OPENCL_CACHELINE LIBXSMM_CACHELINE\n#endif\n#if !defined(ACC_OPENCL_TLS)\n# define ACC_OPENCL_TLS LIBXSMM_TLS\n#endif\n#if !defined(ACC_OPENCL_MAXALIGN)\n# define ACC_OPENCL_MAXALIGN (2 << 20 /*2MB*/)\n#endif\n#if !defined(ACC_OPENCL_BUFFERSIZE)\n# define ACC_OPENCL_BUFFERSIZE (8 << 10 /*8KB*/)\n#endif\n#if !defined(ACC_OPENCL_MAXSTRLEN)\n# define ACC_OPENCL_MAXSTRLEN 48\n#endif\n#if !defined(ACC_OPENCL_MAXNDEVS)\n# define ACC_OPENCL_MAXNDEVS 64\n#endif\n/* Counted on a per-thread basis! */\n#if !defined(ACC_OPENCL_MAXNITEMS)\n# define ACC_OPENCL_MAXNITEMS 1024\n#endif\n/* First char is CSV-separator by default (w/o spaces) */\n#if !defined(ACC_OPENCL_DELIMS)\n# define ACC_OPENCL_DELIMS \",;\"\n#endif\n#if !defined(ACC_OPENCL_CMEM) && 1\n# define ACC_OPENCL_CMEM\n#endif\n#if !defined(ACC_OPENCL_ASYNC) && 1\n# define ACC_OPENCL_ASYNC getenv(\"ACC_OPENCL_ASYNC\")\n#endif\n#if !defined(ACC_OPENCL_XHINTS) && 1\n# define ACC_OPENCL_XHINTS getenv(\"ACC_OPENCL_XHINTS\")\n#endif\n#if !defined(ACC_OPENCL_STREAM_PRIORITIES) && 0\n# if defined(CL_QUEUE_PRIORITY_KHR)\n# define ACC_OPENCL_STREAM_PRIORITIES\n# endif\n#endif\n#if !defined(ACC_OPENCL_USM) && defined(CL_VERSION_2_0) && 1\n# if defined(__OFFLOAD_UNIFIED_MEMORY)\n/* Do not rely on an Intel extension for pointer arithmetic */\n# define ACC_OPENCL_USM 2\n# else\n/* Rely on OpenCL 2.0 (eventually mix-in an Intel ext.) */\n# define ACC_OPENCL_USM 1\n# endif\n#else\n# define ACC_OPENCL_USM 0\n#endif\n/* Activate device by default */\n#if !defined(ACC_OPENCL_ACTIVATE) && 0\n# define ACC_OPENCL_ACTIVATE 0\n#endif\n/* Use DBCSR's profile for detailed timings (function name prefix-offset) */\n#if !defined(ACC_OPENCL_PROFILE_DBCSR) && (defined(__OFFLOAD_PROFILING) || 1)\n# if defined(__DBCSR_ACC)\n# define ACC_OPENCL_PROFILE_DBCSR 8\n# endif\n#endif\n\n/* attaching c_dbcsr_acc_opencl_stream_t is needed */\n#define ACC_OPENCL_STREAM(A) ((const c_dbcsr_acc_opencl_stream_t*)(A))\n/* incompatible with c_dbcsr_acc_event_record */\n#define ACC_OPENCL_EVENT(A) ((const cl_event*)(A))\n\n#define ACC_OPENCL_ATOMIC_ACQUIRE(LOCK) \\\n do { \\\n LIBXSMM_ATOMIC_ACQUIRE(LOCK, LIBXSMM_SYNC_NPAUSE, LIBXSMM_ATOMIC_SEQ_CST); \\\n } while (0)\n#define ACC_OPENCL_ATOMIC_RELEASE(LOCK) \\\n do { \\\n LIBXSMM_ATOMIC_RELEASE(LOCK, LIBXSMM_ATOMIC_SEQ_CST); \\\n } while (0)\n\n#if defined(LIBXSMM_ATOMIC_LOCKTYPE)\n# define ACC_OPENCL_ATOMIC_LOCKTYPE volatile LIBXSMM_ATOMIC_LOCKTYPE\n#else\n# define ACC_OPENCL_ATOMIC_LOCKTYPE volatile int\n#endif\n\n#if defined(_OPENMP)\n# include \n# define ACC_OPENCL_OMP_TID() omp_get_thread_num()\n# define ACC_OPENCL_INIT(LOCK) omp_init_lock(LOCK)\n# define ACC_OPENCL_DESTROY(LOCK) omp_destroy_lock(LOCK)\n# define ACC_OPENCL_ACQUIRE(LOCK) omp_set_lock(LOCK)\n# define ACC_OPENCL_RELEASE(LOCK) omp_unset_lock(LOCK)\n# define ACC_OPENCL_LOCKTYPE omp_lock_t\n#else\n# define ACC_OPENCL_OMP_TID() (/*main*/ 0)\n# define ACC_OPENCL_INIT(LOCK) (*(LOCK) = 0)\n# define ACC_OPENCL_DESTROY(LOCK)\n# define ACC_OPENCL_ACQUIRE(LOCK) ACC_OPENCL_ATOMIC_ACQUIRE(LOCK)\n# define ACC_OPENCL_RELEASE(LOCK) ACC_OPENCL_ATOMIC_RELEASE(LOCK)\n# define ACC_OPENCL_LOCKTYPE ACC_OPENCL_ATOMIC_LOCKTYPE\n#endif\n\n#if defined(CL_VERSION_2_0)\n# define ACC_OPENCL_STREAM_PROPERTIES_TYPE cl_queue_properties\n# define ACC_OPENCL_CREATE_COMMAND_QUEUE(CTX, DEV, PROPS, RESULT) clCreateCommandQueueWithProperties(CTX, DEV, PROPS, RESULT)\n#else\n# define ACC_OPENCL_STREAM_PROPERTIES_TYPE cl_int\n# define ACC_OPENCL_CREATE_COMMAND_QUEUE(CTX, DEV, PROPS, RESULT) \\\n clCreateCommandQueue(CTX, DEV, (cl_command_queue_properties)(NULL != (PROPS) ? ((PROPS)[1]) : 0), RESULT)\n#endif\n\n#if LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n# define ACC_OPENCL_EXPECT(EXPR) LIBXSMM_EXPECT(EXPR)\n# define LIBXSMM_STRISTR libxsmm_stristr\n#else\n# define ACC_OPENCL_EXPECT(EXPR) \\\n if (0 == (EXPR)) assert(0)\n# define LIBXSMM_STRISTR strstr\n#endif\n\n#define ACC_OPENCL_ERROR() c_dbcsr_acc_opencl_config.device.error.code\n#define ACC_OPENCL_ERROR_NAME(CODE) \\\n ((EXIT_SUCCESS != c_dbcsr_acc_opencl_config.device.error.code && (CODE) == c_dbcsr_acc_opencl_config.device.error.code) \\\n ? c_dbcsr_acc_opencl_config.device.error.name \\\n : \"\")\n\n#define ACC_OPENCL_ERROR_REPORT(NAME) \\\n do { \\\n const char* const acc_opencl_error_report_name_ = (const char*)('\\0' != *#NAME ? (uintptr_t)(NAME + 0) : 0); \\\n if (0 != c_dbcsr_acc_opencl_config.verbosity) { \\\n if (NULL != acc_opencl_error_report_name_ && '\\0' != *acc_opencl_error_report_name_) { \\\n fprintf(stderr, \"ERROR ACC/OpenCL: failed for %s!\\n\", acc_opencl_error_report_name_); \\\n } \\\n else if (0 != c_dbcsr_acc_opencl_config.device.error.code) { \\\n if (NULL != c_dbcsr_acc_opencl_config.device.error.name && '\\0' != *c_dbcsr_acc_opencl_config.device.error.name) { \\\n fprintf(stderr, \"ERROR ACC/OpenCL: %s (code=%i)\\n\", c_dbcsr_acc_opencl_config.device.error.name, \\\n c_dbcsr_acc_opencl_config.device.error.code); \\\n } \\\n else if (-1001 == c_dbcsr_acc_opencl_config.device.error.code) { \\\n fprintf(stderr, \"ERROR ACC/OpenCL: incomplete OpenCL installation?\\n\"); \\\n } \\\n else { \\\n fprintf(stderr, \"ERROR ACC/OpenCL: unknown error (code=%i)\\n\", c_dbcsr_acc_opencl_config.device.error.code); \\\n } \\\n } \\\n memset(&c_dbcsr_acc_opencl_config.device.error, 0, sizeof(c_dbcsr_acc_opencl_config.device.error)); \\\n } \\\n assert(!\"SUCCESS\"); \\\n } while (0)\n\n#define ACC_OPENCL_CHECK(RESULT, CMD, MSG) \\\n do { \\\n if (EXIT_SUCCESS == (RESULT)) { \\\n (RESULT) = (CMD); /* update result given code from cmd */ \\\n c_dbcsr_acc_opencl_config.device.error.name = (MSG); \\\n c_dbcsr_acc_opencl_config.device.error.code = (RESULT); \\\n assert(EXIT_SUCCESS == (RESULT)); \\\n } \\\n else ACC_OPENCL_ERROR_REPORT(); \\\n } while (0)\n\n#define ACC_OPENCL_RETURN(RESULT, ...) \\\n do { \\\n if (EXIT_SUCCESS == (RESULT)) { \\\n assert(EXIT_SUCCESS == c_dbcsr_acc_opencl_config.device.error.code); \\\n memset(&c_dbcsr_acc_opencl_config.device.error, 0, sizeof(c_dbcsr_acc_opencl_config.device.error)); \\\n } \\\n else ACC_OPENCL_ERROR_REPORT(__VA_ARGS__); \\\n return (RESULT); \\\n } while (0)\n\n\n#if defined(__cplusplus)\nextern \"C\" {\n#endif\n\n/** Rich type denoting an error. */\ntypedef struct c_dbcsr_acc_opencl_error_t {\n const char* name;\n int code;\n} c_dbcsr_acc_opencl_error_t;\n\n/** Information about streams (c_dbcsr_acc_stream_create). */\ntypedef struct c_dbcsr_acc_opencl_stream_t {\n cl_command_queue queue;\n int tid;\n#if defined(ACC_OPENCL_STREAM_PRIORITIES)\n int priority;\n#endif\n} c_dbcsr_acc_opencl_stream_t;\n\n/** Settings updated during c_dbcsr_acc_set_active_device. */\ntypedef struct c_dbcsr_acc_opencl_device_t {\n /** Activated device context. */\n cl_context context;\n /**\n * Stream for internal purpose, e.g., stream-argument\n * (ACC-interface) can be NULL (synchronous)\n */\n c_dbcsr_acc_opencl_stream_t stream;\n /** Last error (not necessarily thread-safe/specific). */\n c_dbcsr_acc_opencl_error_t error;\n /** OpenCL compiler flag (language standard). */\n char std_flag[16];\n /** OpenCL support-level (major and minor). */\n cl_int std_level[2], std_clevel[2];\n /**\n * Maximum size of workgroup (WG), preferred multiple of WG-size (PM),\n * and size of subgoup (SG) only if larger-equal than PM. SG is signaled\n * smaller if an alternative SG-size exists (SG is zero if no support).\n */\n size_t wgsize[3];\n /** Maximum size of memory allocations and constant buffer. */\n cl_ulong size_maxalloc, size_maxcmem;\n /** Kind of device (GPU, CPU, or other). */\n cl_device_type type;\n /** Whether host memory is unified, and SVM/USM capabilities. */\n cl_int unified, usm;\n /** Device-UID. */\n cl_uint uid;\n /** Main vendor? */\n cl_int intel, amd, nv;\n /* USM support functions */\n cl_int (*clSetKernelArgMemPointerINTEL)(cl_kernel, cl_uint, const void*);\n cl_int (*clEnqueueMemFillINTEL)(cl_command_queue, void*, const void*, size_t, size_t, cl_uint, const cl_event*, cl_event*);\n cl_int (*clEnqueueMemcpyINTEL)(cl_command_queue, cl_bool, void*, const void*, size_t, cl_uint, const cl_event*, cl_event*);\n void* (*clDeviceMemAllocINTEL)(cl_context, cl_device_id, const /*cl_mem_properties_intel*/ void*, size_t, cl_uint, cl_int*);\n void* (*clSharedMemAllocINTEL)(cl_context, cl_device_id, const /*cl_mem_properties_intel*/ void*, size_t, cl_uint, cl_int*);\n void* (*clHostMemAllocINTEL)(cl_context, const /*cl_mem_properties_intel*/ void*, size_t, cl_uint, cl_int*);\n cl_int (*clMemFreeINTEL)(cl_context, void*);\n} c_dbcsr_acc_opencl_device_t;\n\ntypedef enum c_dbcsr_acc_event_kind_t {\n c_dbcsr_acc_event_kind_none,\n c_dbcsr_acc_event_kind_h2d,\n c_dbcsr_acc_event_kind_d2h,\n c_dbcsr_acc_event_kind_d2d\n} c_dbcsr_acc_event_kind_t;\n\n/** Information about host/device-memory pointer. */\ntypedef struct c_dbcsr_acc_opencl_info_memptr_t {\n cl_mem memory; /* first item! */\n void* memptr;\n} c_dbcsr_acc_opencl_info_memptr_t;\n\n/** Enumeration of FP-atomic kinds. */\ntypedef enum c_dbcsr_acc_opencl_atomic_fp_t {\n c_dbcsr_acc_opencl_atomic_fp_no = 0,\n c_dbcsr_acc_opencl_atomic_fp_32 = 1,\n c_dbcsr_acc_opencl_atomic_fp_64 = 2\n} c_dbcsr_acc_opencl_atomic_fp_t;\n\n/**\n * Settings discovered/setup during c_dbcsr_acc_init (independent of the device)\n * and settings updated during c_dbcsr_acc_set_active_device (devinfo).\n */\ntypedef struct c_dbcsr_acc_opencl_config_t {\n /** Table of ordered viable/discovered devices (matching criterion). */\n cl_device_id devices[ACC_OPENCL_MAXNDEVS];\n /** Active device (per process). */\n c_dbcsr_acc_opencl_device_t device;\n /** Locks used by domain. */\n ACC_OPENCL_LOCKTYPE *lock_main, *lock_stream, *lock_event, *lock_memory;\n /** All memptrs and related storage/counter. */\n c_dbcsr_acc_opencl_info_memptr_t **memptrs, *memptr_data;\n size_t nmemptrs; /* counter */\n /** Handle-counter. */\n size_t nstreams, nevents;\n /** All streams and related storage. */\n c_dbcsr_acc_opencl_stream_t **streams, *stream_data;\n /** All events and related storage. */\n cl_event **events, *event_data;\n /** Device-ID to lookup devices-array. */\n cl_int device_id;\n /** Kernel-parameters are matched against device's UID */\n cl_uint devmatch;\n /** Split devices into sub-devices (if possible) */\n cl_int devsplit;\n /** Verbosity level (output on stderr). */\n cl_int verbosity;\n /** Guessed number of ranks per node (local), and rank-ID. */\n cl_int nranks, nrank;\n /** Non-zero if library is initialized (negative: no device). */\n cl_int ndevices;\n /** Maximum number of threads (omp_get_max_threads). */\n cl_int nthreads;\n#if defined(ACC_OPENCL_STREAM_PRIORITIES)\n /** Runtime-adjust ACC_OPENCL_STREAM_PRIORITIES. */\n cl_int priority;\n#endif\n /** Runtime-enable ACC_OPENCL_PROFILE_DBCSR. */\n cl_int profile;\n /** Detailed/optional insight. */\n void *hist_h2d, *hist_d2h, *hist_d2d;\n /** Configuration and execution-hints. */\n cl_int xhints;\n /** Asynchronous memory operations. */\n cl_int async;\n /** Debug (output/symbols, etc.). */\n cl_int debug;\n /** Dump level. */\n cl_int dump;\n /** WA level */\n cl_int wa;\n} c_dbcsr_acc_opencl_config_t;\n\n/** Global configuration setup in c_dbcsr_acc_init. */\nextern c_dbcsr_acc_opencl_config_t c_dbcsr_acc_opencl_config;\n\n/** If buffers are hinted for non-concurrent writes aka \"OpenCL constant\". */\nint c_dbcsr_acc_opencl_use_cmem(const c_dbcsr_acc_opencl_device_t* devinfo);\n/** Determines host-pointer registration (for modification). Returns NULL if memory is SVM/USM. */\nc_dbcsr_acc_opencl_info_memptr_t* c_dbcsr_acc_opencl_info_hostptr(const void* memory);\n/**\n * Determines device-pointer registration (for modification; internal). The offset is measured in elsize.\n * Returns NULL if memory is SVM/USM (offset is zero in this case).\n */\nc_dbcsr_acc_opencl_info_memptr_t* c_dbcsr_acc_opencl_info_devptr_modify(\n ACC_OPENCL_LOCKTYPE* lock, void* memory, size_t elsize, const size_t* amount, size_t* offset);\n/** Determines device-pointer registration for info/ro (lock-control); offset is measured in elsize. */\nint c_dbcsr_acc_opencl_info_devptr_lock(c_dbcsr_acc_opencl_info_memptr_t* info, ACC_OPENCL_LOCKTYPE* lock, const void* memory,\n size_t elsize, const size_t* amount, size_t* offset);\n/** Determines device-pointer registration for info/ro; offset is measured in elsize. */\nint c_dbcsr_acc_opencl_info_devptr(\n c_dbcsr_acc_opencl_info_memptr_t* info, const void* memory, size_t elsize, const size_t* amount, size_t* offset);\n/** Finds an existing stream for the given thread-ID (or NULL). */\nconst c_dbcsr_acc_opencl_stream_t* c_dbcsr_acc_opencl_stream(ACC_OPENCL_LOCKTYPE* lock, int thread_id);\n/** Determines default-stream (see c_dbcsr_acc_opencl_device_t::stream). */\nconst c_dbcsr_acc_opencl_stream_t* c_dbcsr_acc_opencl_stream_default(void);\n/** Like c_dbcsr_acc_memset_zero, but supporting an arbitrary value used as initialization pattern. */\nint c_dbcsr_acc_opencl_memset(void* dev_mem, int value, size_t offset, size_t nbytes, void* stream);\n/** Amount of device memory; local memory is only non-zero if separate from global. */\nint c_dbcsr_acc_opencl_info_devmem(cl_device_id device, size_t* mem_free, size_t* mem_total, size_t* mem_local, int* mem_unified);\n/** Get device-ID for given device, and optionally global device-ID. */\nint c_dbcsr_acc_opencl_device_id(cl_device_id device, int* device_id, int* global_id);\n/** Confirm the vendor of the given device. */\nint c_dbcsr_acc_opencl_device_vendor(cl_device_id device, const char vendor[], int use_platform_name);\n/** Capture or calculate UID based on the device-name. */\nint c_dbcsr_acc_opencl_device_uid(cl_device_id device, const char devname[], unsigned int* uid);\n/** Based on the device-ID, return the device's UID (capture or calculate), device name, and platform name. */\nint c_dbcsr_acc_opencl_device_name(\n cl_device_id device, char name[], size_t name_maxlen, char platform[], size_t platform_maxlen, int cleanup);\n/** Return the OpenCL support-level for the given device. */\nint c_dbcsr_acc_opencl_device_level(\n cl_device_id device, int std_clevel[2], int std_level[2], char std_flag[16], cl_device_type* type);\n/** Check if given device supports the extensions. */\nint c_dbcsr_acc_opencl_device_ext(cl_device_id device, const char* const extnames[], int num_exts);\n/** Create context for given device. */\nint c_dbcsr_acc_opencl_create_context(cl_device_id device_id, cl_context* context);\n/** Internal variant of c_dbcsr_acc_set_active_device. */\nint c_dbcsr_acc_opencl_set_active_device(ACC_OPENCL_LOCKTYPE* lock, int device_id);\n/** Assemble flags to support atomic operations. */\nint c_dbcsr_acc_opencl_flags_atomics(const c_dbcsr_acc_opencl_device_t* devinfo, c_dbcsr_acc_opencl_atomic_fp_t kind,\n const char* exts[], size_t* exts_maxlen, char flags[], size_t flags_maxlen);\n/** Assemble given defines and internal definitions. */\nint c_dbcsr_acc_opencl_defines(const char defines[], char buffer[], size_t buffer_size, int cleanup);\n/** Combines build-params, build-options, and extra flags. */\nint c_dbcsr_acc_opencl_kernel_flags(const char build_params[], const char build_options[], const char try_options[],\n cl_program program, char buffer[], size_t buffer_size);\n/**\n * Build kernel from source with given kernel_name, build_params and build_options.\n * The build_params are meant to instantiate the kernel (-D) whereas build_options\n * are are meant to be compiler-flags. The source_kind denotes source's content:\n * 0: OpenCL source code\n * 1: Filename (OpenCL or binary)\n * >1: Binary code (source_kind denotes size)\n */\nint c_dbcsr_acc_opencl_kernel(size_t source_kind, const char source[], const char kernel_name[], const char build_params[],\n const char build_options[], const char try_build_options[], int* try_ok, const char* const extnames[], size_t num_exts,\n cl_kernel* kernel);\n/** Per-thread variant of c_dbcsr_acc_device_synchronize. */\nint c_dbcsr_acc_opencl_device_synchronize(ACC_OPENCL_LOCKTYPE* lock, int thread_id);\n/** To support USM, call this function for pointer arguments instead of clSetKernelArg. */\nint c_dbcsr_acc_opencl_set_kernel_ptr(cl_kernel kernel, cl_uint arg_index, const void* arg_value);\n\n/** Support older LIBXSMM (libxsmm_pmalloc_init). */\nvoid c_dbcsr_acc_opencl_pmalloc_init(size_t size, size_t* num, void* pool[], void* storage);\n/** Support older LIBXSMM (libxsmm_pmalloc). */\nvoid* c_dbcsr_acc_opencl_pmalloc(ACC_OPENCL_LOCKTYPE* lock, void* pool[], size_t* i);\n/** Support older LIBXSMM (libxsmm_pfree). */\nvoid c_dbcsr_acc_opencl_pfree(const void* pointer, void* pool[], size_t* i);\n\n/** Measure time in seconds for the given event. */\ndouble c_dbcsr_acc_opencl_duration(cl_event event, int* result_code);\n\ntypedef void (*c_dbcsr_acc_opencl_hist_update_fn)(double* /*dst*/, const double* /*src*/);\ntypedef double (*c_dbcsr_acc_opencl_hist_adjust_fn)(double /*value*/, int count);\nvoid c_dbcsr_acc_opencl_hist_create(\n void** hist, int nbuckets, int nqueue, int nvals, const c_dbcsr_acc_opencl_hist_update_fn update[]);\nvoid c_dbcsr_acc_opencl_hist_avg(double* dst, const double* src);\nvoid c_dbcsr_acc_opencl_hist_add(double* dst, const double* src);\nvoid c_dbcsr_acc_opencl_hist_set(ACC_OPENCL_LOCKTYPE* lock, void* hist, const double vals[]);\nvoid c_dbcsr_acc_opencl_hist_get(\n ACC_OPENCL_LOCKTYPE* lock, void* hist, const int** buckets, int* nbuckets, double range[2], const double** vals, int* nvals);\nvoid c_dbcsr_acc_opencl_hist_print(\n FILE* stream, void* hist, const char title[], const int prec[], const c_dbcsr_acc_opencl_hist_adjust_fn adjust[]);\nvoid c_dbcsr_acc_opencl_hist_free(void* hist);\n\n/** Return the pointer to the 1st match of \"b\" in \"a\", or NULL (no match). */\nconst char* c_dbcsr_acc_opencl_stristrn(const char a[], const char b[], size_t maxlen);\n\n/**\n * Count the number of words in A (or B) with match in B (or A) respectively (case-insensitive).\n * Can be used to score the equality of A and B on a word-basis. The result is independent of\n * A-B or B-A order (symmetry). The score cannot exceed the number of words in A or B.\n * Optional delimiters determine characters splitting words (can be NULL).\n * Optional count yields total number of words.\n */\nint c_dbcsr_acc_opencl_strimatch(const char a[], const char b[], const char delims[], int* count);\n\n#if defined(__cplusplus)\n}\n#endif\n\n#endif /*ACC_OPENCL_H*/\n" }, { "path": "src/acc/opencl/acc_opencl.sh", "content": "#!/usr/bin/env bash\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: BSD-3-Clause #\n####################################################################################################\n# shellcheck disable=SC2048,SC2129\n\nBASENAME=$(command -v basename)\nDIRNAME=$(command -v dirname)\nHEAD=$(command -v head)\nSORT=$(command -v sort)\nSED=$(command -v gsed)\nCAT=$(command -v cat)\nCPP=$(command -v cpp)\nTR=$(command -v tr)\nRM=$(command -v rm)\nWC=$(command -v wc)\n\n# flags used to control preprocessor\nCPPBASEFLAGS=\"-dD -P -fpreprocessed\"\n\n# delimiters allowed in CSV-file\nDELIMS=\";,\\t|/\"\n\n# GNU sed is desired (macOS)\nif [ ! \"${SED}\" ]; then\n SED=$(command -v sed)\nfi\n\ntrap_exit() {\n if [ \"0\" != \"$?\" ] && [ \"${HFILE}\" ]; then ${RM} -f \"${OFILE}\"; fi\n}\n\nprocess_pre() {\n if [ \"$1\" ]; then\n if [ \"${CPP}\" ] && \\\n [ \"$(eval \"${CPP} ${CPPBASEFLAGS} $1\" 2>/dev/null >/dev/null && echo \"YES\")\" ];\n then\n if [ \"${CPPFLAGS}\" ] && \\\n [ \"$(eval \"${CPP} ${CPPFLAGS} ${CPPBASEFLAGS} $1\" 2>/dev/null >/dev/null && echo \"YES\")\" ];\n then\n eval \"${CPP} ${CPPFLAGS} ${CPPBASEFLAGS} $1\" 2>/dev/null\n else\n eval \"${CPP} ${CPPBASEFLAGS} $1\" 2>/dev/null\n fi\n else # fallback to sed\n ${SED} -r ':a;s%(.*)/\\*.*\\*/%\\1%;ta;/\\/\\*/!b;N;ba' \"$1\"\n fi | \\\n if [ ! \"$2\" ] || [ \"0\" = \"$2\" ]; then # strip include guards\n GUARD=$(${BASENAME} \"$1\" | ${TR} '[:lower:]' '[:upper:]' | ${TR} '.' '_')\n if [ \"${GUARD}\" ] && [ \"$(${SED} -n \"/${GUARD}/p\" \"$1\")\" ]; then\n ${SED} \"/${GUARD}/d;\\${/\\s*\\#\\s*endif/d}\"\n else\n ${CAT}\n fi\n else\n ${CAT}\n fi\n fi\n}\n\nprocess() {\n IFS=$'\\n'\n while read -r LINE; do\n INCLUDE=$(${SED} -n \"s/#[[:space:]]*include[[:space:]][[:space:]]*\\\"/\\\"/p\" <<<\"${LINE}\")\n if [ \"${INCLUDE}\" ] && [ \"$1\" ] && [ -e \"$1\" ]; then\n CLINC=$(${SED} \"s/\\\"//g\" <<<\"${INCLUDE}\")\n CLPATH=$(${DIRNAME} \"$1\")\n FILE=${CLPATH}/${CLINC}\n if [ \"${FILE}\" ] && [ -e \"${FILE}\" ]; then\n process_pre \"${FILE}\" \"$2\" | process \"${FILE}\" \"$2\"\n else\n >&2 echo \"WARNING: header file ${FILE} not found!\"\n #exit 1\n fi\n else\n ${SED} <<<\"${LINE}\" \\\n -e '/^[[:space:]]*$/d' -e 's/[[:space:]]*$//' \\\n -e 's/[[:space:]]*\\\\/ \\\\\\\\/g' -e 's/\"/\\\\\"/g' \\\n -e 's/^/ \"/' -e 's/$/\\\\n\" \\\\/'\n fi\n done\n unset IFS\n}\n\nif [ \"${BASENAME}\" ] && [ \"${DIRNAME}\" ] && [ \"${HEAD}\" ] && [ \"${SORT}\" ] && \\\n [ \"${SED}\" ] && [ \"${CAT}\" ] && [ \"${TR}\" ] && [ \"${RM}\" ] && [ \"${WC}\" ];\nthen\n for OFILE in \"$@\"; do :; done\n while test $# -gt 0; do\n case \"$1\" in\n -h|--help)\n shift $#;;\n -k|--keep)\n KEEP=1\n shift;;\n -b|--banner)\n BANNER=$2\n shift 2;;\n -p|--params)\n PARAMS=\"$2\\t\"\n shift 2;;\n -c|-d|--debug|--comments)\n CPPFLAGS+=\" -C\"\n shift;;\n -v|--verbose)\n VERBOSE=1\n shift;;\n *) break;;\n esac\n done\n HERE=\"$(cd \"$(${DIRNAME} \"$0\")\" && pwd -P)\"\n PARAMDIR=${PARAMDIR:-${PARAMS}}\n PARAMDIR=${PARAMDIR:-${HERE}/smm/params}\n PARAMDIR=$(echo -e \"${PARAMDIR}\" | ${TR} -d '\\t')\n if [ \"$#\" -gt 1 ]; then\n # allow for instance /dev/stdout\n if [ \"${OFILE##*.}\" = \"h\" ]; then\n if [ \"${VERBOSE}\" ] && [ \"0\" != \"${VERBOSE}\" ]; then\n echo \"$0 $*\" # stdout\n fi\n truncate -s0 \"${OFILE}\"\n HFILE=${OFILE}\n elif [ \"${OFILE##*.}\" = \"cl\" ] || [ \"${OFILE##*.}\" = \"csv\" ]; then\n >&2 echo \"ERROR: no output/header file given!\"\n exit 1\n elif [ \"${VERBOSE}\" ] && [ \"0\" != \"${VERBOSE}\" ]; then\n if [[ ${OFILE} != /dev/stderr ]]; then\n >&2 echo \"$0 $*\"\n else # stdout\n echo \"$0 $*\"\n fi\n fi\n trap 'trap_exit' EXIT\n RNAME=$(${BASENAME} \"$(cd \"$(${DIRNAME} \"$1\")\" && pwd -P)\")\n ANAME=$(${TR} '[:lower:]' '[:upper:]' <<<\"${RNAME}\")\n NFILES_OCL=0\n for CLFILE in ${*:1:${#@}-1}; do\n if [ \"${CLFILE##*.}\" = \"cl\" ]; then\n CLEXT=\".cl\"\n elif [ \"${CLFILE##*.}\" = \"h\" ]; then\n CLEXT=\".h\"\n else\n CLEXT=\"\"\n fi\n if [ \"${CLEXT}\" ]; then\n if [ -e \"${CLFILE}\" ]; then\n CNAME=$(${BASENAME} \"${CLFILE}\" \"${CLEXT}\" | ${SED} \"s/${RNAME}_//;s/_opencl//\")\n BNAME=$(${TR} '[:lower:]' '[:upper:]' <<<\"${CNAME}\")\n SNAME=OPENCL_${ANAME}_STRING_${BNAME}\n VNAME=opencl_${RNAME}_source_${CNAME}\n MNAME=OPENCL_${ANAME}_SOURCE_${BNAME}\n if [ \"0\" != \"$((0<(NFILES_OCL)))\" ]; then\n echo\n elif [ \"${BANNER}\" ] && [ \"0\" != \"${BANNER}\" ]; then\n ${HEAD} -n\"${BANNER}\" \"${CLFILE}\"\n fi\n echo \"#define ${MNAME} ${VNAME}\"\n echo \"#define ${SNAME} \\\\\"\n process_pre \"${CLFILE}\" \"${KEEP}\" | process \"${CLFILE}\" \"${KEEP}\"\n echo \" \\\"\\\"\"\n echo \"static const char ${VNAME}[] = ${SNAME};\"\n NFILES_OCL=$((NFILES_OCL+1))\n else\n >&2 echo \"ERROR: ${CLFILE} does not exist!\"\n exit 1\n fi >>\"${OFILE}\"\n else\n CSVFILES=(\"${*:NFILES_OCL+1:${#@}-NFILES_OCL-1}\")\n break\n fi\n done\n if [ \"0\" = \"${NFILES_OCL}\" ]; then\n >&2 echo \"ERROR: no OpenCL file was given!\"\n exit 1\n fi\n NFILES_CSV=0\n for CSVFILE in \"${CSVFILES[@]}\"; do\n if [ \"${CSVFILE##*.}\" = \"csv\" ]; then\n if [ -f \"${CSVFILE}\" ]; then\n NFILES_CSV=$((NFILES_CSV+1))\n fi\n else\n >&2 echo \"ERROR: ${CSVFILE} is not a CSV file!\"\n exit 1\n fi\n done\n if [ \"0\" = \"${NFILES_CSV}\" ] && [ \"${PARAMDIR}\" ] && [ -d \"${PARAMDIR}\" ]; then\n CSVFILES=(\"${PARAMDIR}\"/*.csv)\n NFILES_CSV=${#CSVFILES[@]}\n fi\n for CSVFILE in \"${CSVFILES[@]}\"; do\n if [ ! \"${DELIM}\" ]; then\n SEPAR=$(${SED} -n \"1s/[^${DELIMS}]//gp\" \"${CSVFILE}\" 2>/dev/null)\n DELIM=${SEPAR:0:1}\n MATCH=$(${SED} -n \"1s/[^${DELIM}]//gp\" \"${CSVFILE}\" 2>/dev/null)\n fi\n if [ \"${DELIM}\" ]; then\n CHECK=$(${SED} \"/^[[:space:]]*$/d;s/[^${DELIM}]//g\" \"${CSVFILE}\" | ${SORT} -u | ${SED} -n \"0,/./p\")\n if [ \"0\" != \"$((${#MATCH}<${#CHECK}))\" ]; then\n ERRFILE=${CSVFILES[0]}\n elif [ \"${MATCH}\" != \"${CHECK}\" ]; then\n ERRFILE=${CSVFILE}\n fi\n else\n ERRFILE=${CSVFILE}\n fi\n if [ \"${ERRFILE}\" ] && [ -f \"${ERRFILE}\" ]; then\n >&2 echo \"WARNING: ${ERRFILE} is malformed and ignored!\"\n fi\n done\n DEVPAT=\"s/${DELIM}..*//\"\n DEVICES=$(for CSVFILE in \"${CSVFILES[@]}\"; do ${SED} \"1d;/^[[:space:]]*$/d;${DEVPAT}\" \"${CSVFILE}\"; done | ${SORT} -u)\n SNAME=OPENCL_${ANAME}_STRING_PARAMS_SMM\n VNAME=opencl_${RNAME}_params_smm\n DNAME=opencl_${RNAME}_devices\n MNAME=$(${TR} '[:lower:]' '[:upper:]' <<<\"${VNAME}\")\n NNAME=$(${TR} '[:lower:]' '[:upper:]' <<<\"${DNAME}\")\n if [ \"${DEVICES}\" ]; then\n echo\n echo \"#define ${MNAME} ${VNAME}\"\n echo \"#define ${SNAME} \\\\\"\n CSVLINES=$(for CSVFILE in \"${CSVFILES[@]}\"; do ${SED} \"1d;/^[[:space:]]*$/d;s/[\\r]*$/\\\\\\n\\\" \\\\\\/\" \"${CSVFILE}\"; done)\n IFS=$'\\n'\n for LINE in ${CSVLINES}; do\n I=0; IDEVICE=$(${SED} \"${DEVPAT}\" <<<\"${LINE}\")\n for DEVICE in ${DEVICES}; do\n if [ \"${DEVICE}\" = \"${IDEVICE}\" ]; then break; fi\n I=$((I+1));\n done\n ${SED} \"s/[^${DELIM}]*/ \\\"${I}/\" <<<\"${LINE}\"\n done\n echo \" \\\"\\\"\"\n echo \"static const char ${VNAME}[] = ${SNAME};\"\n echo\n echo \"#define ${NNAME} ${DNAME}\"\n echo \"static const char *const ${DNAME}[] = {\"\n I=0; S=\",\"; NDEVICES=$(${WC} -l <<<\"${DEVICES}\")\n for DEVICE in ${DEVICES}; do\n I=$((I+1)); if [ \"0\" != \"$((NDEVICES==I))\" ]; then S=\"\"; fi\n echo \" \\\"${DEVICE}\\\"${S}\"\n done\n unset IFS\n echo \"};\"\n fi >>\"${OFILE}\"\n else\n echo \"Usage: $0 infile.cl [infile2.cl .. infileN.cl] [infile.csv [.. infileN.csv]] outfile.h\"\n echo \" At least one OpenCL file and one header file must be supplied.\"\n echo \" -k|--keep: do not strip include guards (stripped even if necessary)\"\n echo \" -b|--banner N: number of lines used as banner (default: 0)\"\n echo \" -p|--params P: directory-path to CSV-files (can be \\\"\\\")\"\n echo \" default: ${PARAMDIR}\"\n echo \" -c|-d|--debug|--comments: keep comments in source-code\"\n echo \" -v|--verbose: repeat command-line arguments\"\n fi\nelse\n >&2 echo \"ERROR: missing prerequisites!\"\n exit 1\nfi\n" }, { "path": "src/acc/opencl/acc_opencl_event.c", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#if defined(__OPENCL)\n# include \"acc_opencl.h\"\n\n\n# if defined(__cplusplus)\nextern \"C\" {\n# endif\n\nint c_dbcsr_acc_event_create(void** event_p) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(NULL != c_dbcsr_acc_opencl_config.events && NULL != event_p);\n *event_p = c_dbcsr_acc_opencl_pmalloc(\n c_dbcsr_acc_opencl_config.lock_event, (void**)c_dbcsr_acc_opencl_config.events, &c_dbcsr_acc_opencl_config.nevents);\n if (NULL != *event_p) *(cl_event*)*event_p = NULL;\n else result = EXIT_FAILURE;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_event_destroy(void* event) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n if (NULL != event) {\n const cl_event clevent = *ACC_OPENCL_EVENT(event);\n assert(NULL != c_dbcsr_acc_opencl_config.events);\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_event);\n c_dbcsr_acc_opencl_pfree(event, (void**)c_dbcsr_acc_opencl_config.events, &c_dbcsr_acc_opencl_config.nevents);\n if (NULL != clevent) {\n result = clReleaseEvent(clevent);\n# if !defined(NDEBUG)\n *(cl_event*)event = NULL;\n# endif\n }\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_event);\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_stream_wait_event(void* stream, void* event) { /* wait for an event (device-side) */\n int result = EXIT_SUCCESS;\n const c_dbcsr_acc_opencl_stream_t* str = NULL;\n cl_event clevent = NULL;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n str = (NULL != stream ? ACC_OPENCL_STREAM(stream) : c_dbcsr_acc_opencl_stream_default());\n assert(NULL != str && NULL != str->queue && NULL != event);\n clevent = *ACC_OPENCL_EVENT(event);\n if (NULL != clevent) {\n# if defined(CL_VERSION_1_2)\n result = clEnqueueBarrierWithWaitList(str->queue, 1, &clevent, NULL);\n# else\n result = clEnqueueWaitForEvents(str->queue, 1, &clevent);\n# endif\n if (EXIT_SUCCESS != result) {\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseEvent(clevent));\n *(cl_event*)event = NULL;\n }\n }\n else if (3 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) {\n fprintf(stderr, \"WARN ACC/OpenCL: c_dbcsr_acc_stream_wait_event discovered an empty event.\\n\");\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_event_record(void* event, void* stream) {\n int result = EXIT_SUCCESS;\n const c_dbcsr_acc_opencl_stream_t* str = NULL;\n cl_event clevent = NULL, clevent_result = NULL;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n str = (NULL != stream ? ACC_OPENCL_STREAM(stream) : c_dbcsr_acc_opencl_stream_default());\n assert(NULL != str && NULL != str->queue && NULL != event);\n clevent = *ACC_OPENCL_EVENT(event);\n# if defined(CL_VERSION_1_2)\n result = clEnqueueMarkerWithWaitList(str->queue, 0, NULL, &clevent_result);\n# else\n result = clEnqueueMarker(str->queue, &clevent_result);\n# endif\n if (NULL != clevent) {\n const int result_release = clReleaseEvent(clevent);\n if (EXIT_SUCCESS == result) result = result_release;\n }\n if (EXIT_SUCCESS == result) {\n assert(NULL != clevent_result);\n *(cl_event*)event = clevent_result;\n }\n else {\n if (NULL != clevent_result) ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseEvent(clevent_result));\n *(cl_event*)event = NULL;\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_event_query(void* event, c_dbcsr_acc_bool_t* has_occurred) {\n cl_int status = CL_COMPLETE;\n int result;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(NULL != event && NULL != has_occurred);\n result = clGetEventInfo(*ACC_OPENCL_EVENT(event), CL_EVENT_COMMAND_EXECUTION_STATUS, sizeof(cl_int), &status, NULL);\n if (EXIT_SUCCESS == result && 0 <= status) *has_occurred = (CL_COMPLETE == status ? 1 : 0);\n else { /* error state */\n result = EXIT_SUCCESS; /* soft-error */\n *has_occurred = 1;\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_event_synchronize(void* event) { /* waits on the host-side */\n int result = EXIT_SUCCESS;\n cl_event clevent;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(NULL != event);\n clevent = *ACC_OPENCL_EVENT(event);\n if (NULL != clevent) {\n if (0 == (32 & c_dbcsr_acc_opencl_config.wa)) {\n cl_int status = CL_COMPLETE + 1;\n if (64 & c_dbcsr_acc_opencl_config.xhints) {\n result = clGetEventInfo(clevent, CL_EVENT_COMMAND_EXECUTION_STATUS, sizeof(cl_int), &status, NULL);\n assert(EXIT_SUCCESS == result || CL_COMPLETE != status);\n }\n if (CL_COMPLETE != status) result = clWaitForEvents(1, &clevent);\n }\n else {\n cl_command_queue queue = NULL;\n result = clGetEventInfo(clevent, CL_EVENT_COMMAND_QUEUE, sizeof(cl_command_queue), &queue, NULL);\n if (EXIT_SUCCESS == result) result = clFinish(queue);\n }\n }\n else if (3 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) {\n fprintf(stderr, \"WARN ACC/OpenCL: c_dbcsr_acc_event_synchronize discovered an empty event.\\n\");\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n# if defined(__cplusplus)\n}\n# endif\n\n#endif /*__OPENCL*/\n" }, { "path": "src/acc/opencl/acc_opencl_mem.c", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#if defined(__OPENCL)\n# include \"acc_opencl.h\"\n# include \n# if defined(_WIN32)\n# include \n# else\n# if !defined(__linux__) && defined(__APPLE__) && defined(__MACH__)\n# include \n# include \n# endif\n# include \n# endif\n\n# if !defined(ACC_OPENCL_MEM_ALLOC)\n# if 1\n# define ACC_OPENCL_MEM_ALLOC(SIZE, ALIGNMENT) libxsmm_aligned_malloc(SIZE, ALIGNMENT)\n# define ACC_OPENCL_MEM_FREE(PTR) libxsmm_free(PTR)\n# else\n# define ACC_OPENCL_MEM_ALLOC(SIZE, ALIGNMENT) aligned_alloc(ALIGNMENT, SIZE)\n# define ACC_OPENCL_MEM_FREE(PTR) free(PTR)\n# endif\n# endif\n# if !defined(ACC_OPENCL_MEM_ALIGNSCALE)\n# define ACC_OPENCL_MEM_ALIGNSCALE 8\n# endif\n# if !defined(ACC_OPENCL_MEM_SVM_INTEL) && 0\n# define ACC_OPENCL_MEM_SVM_INTEL\n# endif\n# if !defined(ACC_OPENCL_MEM_HST_INTEL) && 0\n# define ACC_OPENCL_MEM_HST_INTEL\n# endif\n# if !defined(ACC_OPENCL_MEM_SVM_USM) && 0\n# define ACC_OPENCL_MEM_SVM_USM\n# endif\n# if !defined(ACC_OPENCL_MEM_DEBUG) && 0\n# if && !defined(NDEBUG)\n# define ACC_OPENCL_MEM_DEBUG\n# endif\n# endif\n\n\n# if defined(__cplusplus)\nextern \"C\" {\n# endif\n\nvoid c_dbcsr_acc_opencl_pmalloc_init(size_t size, size_t* num, void* pool[], void* storage) {\n char* p = (char*)storage;\n size_t i = 0;\n assert(0 < size && NULL != num && NULL != pool && NULL != storage);\n for (; i < *num; ++i, p += size) pool[i] = p;\n}\n\n\nvoid* c_dbcsr_acc_opencl_pmalloc(ACC_OPENCL_LOCKTYPE* lock, void* pool[], size_t* i) {\n void* pointer;\n assert(NULL != pool && NULL != i);\n if (NULL != lock) ACC_OPENCL_ACQUIRE(lock);\n pointer = (0 < *i ? pool[--(*i)] : NULL);\n if (NULL != lock) ACC_OPENCL_RELEASE(lock);\n assert(NULL != pointer);\n return pointer;\n}\n\n\nvoid c_dbcsr_acc_opencl_pfree(const void* pointer, void* pool[], size_t* i) {\n assert(NULL != pool && NULL != i);\n if (NULL != pointer) {\n LIBXSMM_ASSIGN127(pool + *i, &pointer);\n ++(*i);\n }\n}\n\n\nc_dbcsr_acc_opencl_info_memptr_t* c_dbcsr_acc_opencl_info_hostptr(const void* memory) {\n c_dbcsr_acc_opencl_info_memptr_t* result = NULL;\n if (NULL == c_dbcsr_acc_opencl_config.device.clHostMemAllocINTEL &&\n# if (0 != ACC_OPENCL_USM)\n 0 == c_dbcsr_acc_opencl_config.device.usm &&\n# endif\n NULL != memory)\n {\n assert(sizeof(c_dbcsr_acc_opencl_info_memptr_t) < (uintptr_t)memory);\n result = (c_dbcsr_acc_opencl_info_memptr_t*)((uintptr_t)memory - sizeof(c_dbcsr_acc_opencl_info_memptr_t));\n }\n return result;\n}\n\n\nc_dbcsr_acc_opencl_info_memptr_t* c_dbcsr_acc_opencl_info_devptr_modify(\n ACC_OPENCL_LOCKTYPE* lock, void* memory, size_t elsize, const size_t* amount, size_t* offset) {\n c_dbcsr_acc_opencl_info_memptr_t* result = NULL;\n# if !defined(ACC_OPENCL_MEM_DEBUG)\n LIBXSMM_UNUSED(amount);\n# endif\n if (NULL != memory) {\n assert(NULL != c_dbcsr_acc_opencl_config.device.context);\n if (/* USM-pointer */\n# if (0 != ACC_OPENCL_USM)\n 0 != c_dbcsr_acc_opencl_config.device.usm ||\n# endif\n NULL != c_dbcsr_acc_opencl_config.device.clDeviceMemAllocINTEL)\n { /* assume only first item of c_dbcsr_acc_opencl_info_memptr_t is accessed */\n assert(0 != c_dbcsr_acc_opencl_config.device.usm || NULL != c_dbcsr_acc_opencl_config.device.clDeviceMemAllocINTEL);\n result = NULL; /*(c_dbcsr_acc_opencl_info_memptr_t*)memory*/\n if (NULL != offset) *offset = 0;\n }\n else { /* info-augmented pointer */\n const char* const pointer = (const char*)memory;\n const size_t n = ACC_OPENCL_MAXNITEMS * c_dbcsr_acc_opencl_config.nthreads;\n size_t hit = (size_t)-1, i;\n assert(0 == c_dbcsr_acc_opencl_config.device.usm && NULL == c_dbcsr_acc_opencl_config.device.clDeviceMemAllocINTEL);\n assert(NULL != c_dbcsr_acc_opencl_config.memptrs);\n if (NULL != lock) ACC_OPENCL_ACQUIRE(lock);\n for (i = c_dbcsr_acc_opencl_config.nmemptrs; i < n; ++i) {\n c_dbcsr_acc_opencl_info_memptr_t* const info = c_dbcsr_acc_opencl_config.memptrs[i];\n if (NULL != info) {\n char* const memptr = (char*)info->memptr;\n if (memptr == pointer) { /* fast-path */\n if (NULL != offset) *offset = 0;\n result = info;\n break;\n }\n else if (memptr < pointer && NULL != offset) {\n size_t d = pointer - memptr, s = d;\n assert(0 < elsize && 0 != d);\n if (d < hit && (1 == elsize || 0 == (d % elsize)) &&\n# if defined(ACC_OPENCL_MEM_DEBUG) /* TODO: verify enclosed conditions */\n (EXIT_SUCCESS == clGetMemObjectInfo(info->memory, CL_MEM_SIZE, sizeof(size_t), &s, NULL)) &&\n (NULL == amount || (*amount * elsize + d) <= s) &&\n# endif\n (1 == elsize || 0 == (s % elsize)) && d <= s)\n {\n *offset = (1 == elsize ? d : (d / elsize));\n result = info;\n hit = d;\n }\n# if defined(ACC_OPENCL_MEM_DEBUG)\n else if (d < hit && 0 != c_dbcsr_acc_opencl_config.debug && 0 != c_dbcsr_acc_opencl_config.verbosity) {\n fprintf(stderr, \"ERROR ACC/OpenCL: memory=%p pointer=%p size=%llu offset=%llu info failed\\n\",\n (const void*)info->memory, info->memptr, (unsigned long long)s,\n (unsigned long long)(1 == elsize ? d : (d / elsize)));\n }\n# endif\n }\n }\n else break;\n }\n if (NULL != lock) ACC_OPENCL_RELEASE(lock);\n assert(NULL != result);\n }\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_info_devptr_lock(c_dbcsr_acc_opencl_info_memptr_t* info, ACC_OPENCL_LOCKTYPE* lock, const void* memory,\n size_t elsize, const size_t* amount, size_t* offset) {\n const c_dbcsr_acc_opencl_info_memptr_t* meminfo = NULL;\n int result = EXIT_SUCCESS;\n void* non_const;\n LIBXSMM_ASSIGN127(&non_const, &memory);\n meminfo = c_dbcsr_acc_opencl_info_devptr_modify(lock, non_const, elsize, amount, offset);\n assert(NULL != info);\n if (NULL == meminfo) { /* USM-pointer */\n LIBXSMM_MEMZERO127(info);\n info->memory = (cl_mem)non_const;\n }\n else { /* info-augmented pointer */\n assert(NULL != c_dbcsr_acc_opencl_config.device.context);\n LIBXSMM_ASSIGN127(info, meminfo);\n }\n return result;\n}\n\n\nint c_dbcsr_acc_opencl_info_devptr(\n c_dbcsr_acc_opencl_info_memptr_t* info, const void* memory, size_t elsize, const size_t* amount, size_t* offset) {\n ACC_OPENCL_LOCKTYPE* const lock_memory = ((\n# if (0 != ACC_OPENCL_USM)\n 0 != c_dbcsr_acc_opencl_config.device.usm ||\n# endif\n NULL != c_dbcsr_acc_opencl_config.device.clSetKernelArgMemPointerINTEL)\n ? NULL /* no lock required */\n : c_dbcsr_acc_opencl_config.lock_memory);\n return c_dbcsr_acc_opencl_info_devptr_lock(info, lock_memory, memory, elsize, amount, offset);\n}\n\n\nint c_dbcsr_acc_host_mem_deallocate_internal(void* /*host_ptr*/, cl_command_queue /*queue*/);\nint c_dbcsr_acc_host_mem_deallocate_internal(void* host_ptr, cl_command_queue queue) {\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n int result = EXIT_FAILURE;\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clMemFreeINTEL) {\n# if defined(ACC_OPENCL_MEM_SVM_INTEL) || defined(ACC_OPENCL_MEM_HST_INTEL)\n result = devinfo->clMemFreeINTEL(devinfo->context, host_ptr);\n# else\n ACC_OPENCL_MEM_FREE(host_ptr);\n result = EXIT_SUCCESS;\n# endif\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM) && ((1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM))\n if (0 != devinfo->usm && 0 != devinfo->unified)\n {\n if (0 == ((CL_DEVICE_SVM_FINE_GRAIN_BUFFER | CL_DEVICE_SVM_FINE_GRAIN_SYSTEM) & devinfo->usm)) {\n result = clEnqueueSVMUnmap(queue, host_ptr, 0, NULL, NULL); /* clSVMFree below synchronizes */\n }\n else result = EXIT_SUCCESS;\n clSVMFree(devinfo->context, host_ptr);\n }\n else\n# endif\n {\n LIBXSMM_UNUSED(queue);\n ACC_OPENCL_MEM_FREE(host_ptr);\n result = EXIT_SUCCESS;\n }\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_host_mem_allocate(void** host_mem, size_t nbytes, void* stream) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(NULL != host_mem);\n if (0 != nbytes) {\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n const c_dbcsr_acc_opencl_stream_t* const str = (NULL != stream ? ACC_OPENCL_STREAM(stream)\n : c_dbcsr_acc_opencl_stream_default());\n int alignment = LIBXSMM_MAX(0x10000, sizeof(void*));\n void* host_ptr = NULL;\n cl_mem memory = NULL;\n assert(NULL != str);\n if ((ACC_OPENCL_MEM_ALIGNSCALE * ACC_OPENCL_CACHELINE) <= nbytes) {\n const int a = ((ACC_OPENCL_MEM_ALIGNSCALE * ACC_OPENCL_MAXALIGN) <= nbytes ? ACC_OPENCL_MAXALIGN : ACC_OPENCL_CACHELINE);\n if (alignment < a) alignment = a;\n }\n# if !defined(ACC_OPENCL_ACTIVATE)\n if (NULL == devinfo->context) {\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_opencl_set_active_device(\n c_dbcsr_acc_opencl_config.lock_main, c_dbcsr_acc_opencl_config.device_id));\n }\n# endif\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clMemFreeINTEL) {\n# if defined(ACC_OPENCL_MEM_SVM_INTEL)\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n host_ptr = devinfo->clSharedMemAllocINTEL(devinfo->context, device_id, NULL /*properties*/, nbytes, 0 /*alignment*/, &result);\n# elif defined(ACC_OPENCL_MEM_HST_INTEL)\n host_ptr = devinfo->clHostMemAllocINTEL(devinfo->context, NULL /*properties*/, nbytes, 0 /*alignment*/, &result);\n# else\n host_ptr = ACC_OPENCL_MEM_ALLOC(nbytes, alignment);\n# endif\n assert(NULL != host_ptr || EXIT_SUCCESS != result);\n /*if (NULL != host_ptr)*/ *host_mem = host_ptr;\n }\n else\n# endif\n if (0 != devinfo->usm)\n {\n# if (0 != ACC_OPENCL_USM)\n# if ((1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM))\n if (0 != devinfo->unified) {\n const int svmmem_fine = (0 != ((CL_DEVICE_SVM_FINE_GRAIN_BUFFER | CL_DEVICE_SVM_FINE_GRAIN_SYSTEM) & devinfo->usm)\n ? CL_MEM_SVM_FINE_GRAIN_BUFFER\n : 0);\n host_ptr = clSVMAlloc(devinfo->context, CL_MEM_READ_WRITE | svmmem_fine, nbytes, 0 /*alignment*/);\n if (NULL != host_ptr) {\n if (0 == svmmem_fine) {\n result = clEnqueueSVMMap(\n str->queue, CL_TRUE /*always block*/, CL_MAP_READ | CL_MAP_WRITE, host_ptr, nbytes, 0, NULL, NULL);\n }\n *host_mem = host_ptr;\n }\n else result = EXIT_FAILURE;\n }\n else\n# endif\n {\n host_ptr = ACC_OPENCL_MEM_ALLOC(nbytes, alignment);\n if (NULL != host_ptr) *host_mem = host_ptr;\n else result = EXIT_FAILURE;\n }\n# endif\n }\n else {\n const size_t size_meminfo = sizeof(c_dbcsr_acc_opencl_info_memptr_t);\n int memflags = CL_MEM_ALLOC_HOST_PTR;\n nbytes += alignment + size_meminfo - 1;\n# if defined(ACC_OPENCL_XHINTS)\n if (0 != (8 & c_dbcsr_acc_opencl_config.xhints) && (0 != devinfo->nv || NULL != (ACC_OPENCL_XHINTS))) {\n host_ptr = ACC_OPENCL_MEM_ALLOC(nbytes, alignment);\n if (NULL != host_ptr) memflags = CL_MEM_USE_HOST_PTR;\n }\n# endif\n memory = clCreateBuffer(devinfo->context, (cl_mem_flags)(CL_MEM_READ_WRITE | memflags), nbytes, host_ptr, &result);\n if (EXIT_SUCCESS == result) {\n void* mapped = host_ptr;\n if (NULL == host_ptr) {\n mapped = clEnqueueMapBuffer(str->queue, memory, CL_TRUE /*always block*/,\n# if defined(ACC_OPENCL_XHINTS) && (defined(CL_VERSION_1_2) || defined(CL_MAP_WRITE_INVALIDATE_REGION))\n (32 & c_dbcsr_acc_opencl_config.xhints) ? CL_MAP_WRITE_INVALIDATE_REGION :\n# endif\n (CL_MAP_READ | CL_MAP_WRITE),\n 0 /*offset*/, nbytes, 0, NULL, NULL, &result);\n }\n assert(EXIT_SUCCESS == result || NULL == mapped);\n if (EXIT_SUCCESS == result) {\n const uintptr_t address = (uintptr_t)mapped;\n const uintptr_t aligned = LIBXSMM_UP2(address + size_meminfo, alignment);\n c_dbcsr_acc_opencl_info_memptr_t* const meminfo = (c_dbcsr_acc_opencl_info_memptr_t*)(aligned - size_meminfo);\n assert(address + size_meminfo <= aligned && NULL != meminfo);\n meminfo->memory = memory;\n meminfo->memptr = mapped;\n *host_mem = (void*)aligned;\n assert(meminfo == c_dbcsr_acc_opencl_info_hostptr(*host_mem));\n }\n }\n }\n if (EXIT_SUCCESS != result) {\n if (NULL != memory) ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseMemObject(memory));\n if (NULL != host_ptr) {\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_host_mem_deallocate_internal(host_ptr, str->queue));\n }\n *host_mem = NULL;\n }\n }\n else *host_mem = NULL; /* consider warning */\n assert(EXIT_SUCCESS == result || NULL == *host_mem);\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_host_mem_deallocate(void* host_mem, void* stream) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n if (NULL != host_mem) {\n const c_dbcsr_acc_opencl_stream_t* const str = (NULL != stream ? ACC_OPENCL_STREAM(stream)\n : c_dbcsr_acc_opencl_stream_default());\n const c_dbcsr_acc_opencl_info_memptr_t* const meminfo = c_dbcsr_acc_opencl_info_hostptr(host_mem);\n assert(NULL != str);\n if (NULL == meminfo || NULL == meminfo->memory) { /* USM-pointer */\n assert(0 != c_dbcsr_acc_opencl_config.device.usm || NULL != c_dbcsr_acc_opencl_config.device.clMemFreeINTEL);\n result = c_dbcsr_acc_host_mem_deallocate_internal(host_mem, str->queue);\n }\n else { /* info-augmented pointer */\n const c_dbcsr_acc_opencl_info_memptr_t info = *meminfo; /* copy meminfo prior to unmap */\n int result_release = EXIT_SUCCESS;\n void* host_ptr = NULL;\n assert(0 == c_dbcsr_acc_opencl_config.device.usm && NULL == c_dbcsr_acc_opencl_config.device.clMemFreeINTEL);\n if (EXIT_SUCCESS == clGetMemObjectInfo(info.memory, CL_MEM_HOST_PTR, sizeof(void*), &host_ptr, NULL) && NULL != host_ptr) {\n result = c_dbcsr_acc_host_mem_deallocate_internal(host_ptr, str->queue);\n }\n else { /* clReleaseMemObject later on synchronizes */\n result = clEnqueueUnmapMemObject(str->queue, info.memory, info.memptr, 0, NULL, NULL);\n }\n result_release = clReleaseMemObject(info.memory);\n if (EXIT_SUCCESS == result) result = result_release;\n }\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nvoid CL_CALLBACK c_dbcsr_acc_memcpy_notify(cl_event /*event*/, cl_int /*event_status*/, void* /*data*/);\nvoid CL_CALLBACK c_dbcsr_acc_memcpy_notify(cl_event event, cl_int event_status, void* data) {\n int result = EXIT_SUCCESS;\n const double durdev = c_dbcsr_acc_opencl_duration(event, &result);\n cl_command_type type = CL_COMMAND_SVM_MEMCPY;\n LIBXSMM_UNUSED(event_status);\n assert(CL_COMPLETE == event_status && NULL != data && 8 == sizeof(data));\n if (EXIT_SUCCESS == result && EXIT_SUCCESS == clGetEventInfo(event, CL_EVENT_COMMAND_TYPE, sizeof(type), &type, NULL)) {\n const size_t size = 0x3FFFFFFFFFFFFFFF & (size_t)data;\n const int kind = (int)(((size_t)data) >> 62);\n const double vals[] = {(double)size, durdev};\n const int mb = (int)((size + (1 << 19)) >> 20);\n if (CL_COMMAND_WRITE_BUFFER != type && CL_COMMAND_READ_BUFFER != type && CL_COMMAND_COPY_BUFFER != type) {\n switch (kind) {\n case c_dbcsr_acc_event_kind_h2d: type = CL_COMMAND_WRITE_BUFFER; break;\n case c_dbcsr_acc_event_kind_d2h: type = CL_COMMAND_READ_BUFFER; break;\n case c_dbcsr_acc_event_kind_d2d: type = CL_COMMAND_COPY_BUFFER; break;\n default: assert(c_dbcsr_acc_event_kind_none == kind); /* should not happen */\n }\n }\n switch (type) {\n case CL_COMMAND_WRITE_BUFFER: {\n assert(NULL != c_dbcsr_acc_opencl_config.hist_h2d && c_dbcsr_acc_event_kind_h2d == kind);\n c_dbcsr_acc_opencl_hist_set(c_dbcsr_acc_opencl_config.lock_memory, c_dbcsr_acc_opencl_config.hist_h2d, vals);\n if (0 > c_dbcsr_acc_opencl_config.profile) fprintf(stderr, \"PROF ACC/OpenCL: H2D mb=%i us=%.0f\\n\", mb, durdev * 1E6);\n } break;\n case CL_COMMAND_READ_BUFFER: {\n assert(NULL != c_dbcsr_acc_opencl_config.hist_d2h && c_dbcsr_acc_event_kind_d2h == kind);\n c_dbcsr_acc_opencl_hist_set(c_dbcsr_acc_opencl_config.lock_memory, c_dbcsr_acc_opencl_config.hist_d2h, vals);\n if (0 > c_dbcsr_acc_opencl_config.profile) fprintf(stderr, \"PROF ACC/OpenCL: D2H mb=%i us=%.0f\\n\", mb, durdev * 1E6);\n } break;\n case CL_COMMAND_COPY_BUFFER: {\n assert(NULL != c_dbcsr_acc_opencl_config.hist_d2d && c_dbcsr_acc_event_kind_d2d == kind);\n c_dbcsr_acc_opencl_hist_set(c_dbcsr_acc_opencl_config.lock_memory, c_dbcsr_acc_opencl_config.hist_d2d, vals);\n if (0 > c_dbcsr_acc_opencl_config.profile) fprintf(stderr, \"PROF ACC/OpenCL: D2D mb=%i us=%.0f\\n\", mb, durdev * 1E6);\n } break;\n }\n }\n if (NULL != event) ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseEvent(event));\n}\n\n\nint c_dbcsr_acc_dev_mem_allocate(void** dev_mem, size_t nbytes) {\n /* assume no lock is needed to protect against context/device changes */\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n int result = EXIT_SUCCESS;\n void* memptr = NULL;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n# if !defined(ACC_OPENCL_ACTIVATE)\n if (NULL == devinfo->context) {\n ACC_OPENCL_EXPECT(EXIT_SUCCESS == c_dbcsr_acc_opencl_set_active_device(\n c_dbcsr_acc_opencl_config.lock_main, c_dbcsr_acc_opencl_config.device_id));\n }\n# endif\n assert(NULL != dev_mem && NULL != devinfo->context);\n if (0 != nbytes) {\n cl_mem memory = NULL;\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clMemFreeINTEL) {\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n# if defined(ACC_OPENCL_MEM_SVM_INTEL)\n memptr = devinfo->clSharedMemAllocINTEL(devinfo->context, device_id, NULL /*properties*/, nbytes, 0 /*alignment*/, &result);\n# else\n memptr = devinfo->clDeviceMemAllocINTEL(devinfo->context, device_id, NULL /*properties*/, nbytes, 0 /*alignment*/, &result);\n# endif\n *dev_mem = memptr;\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM)\n if (0 != devinfo->usm)\n {\n# if (1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM)\n const int svmflags = (0 != ((CL_DEVICE_SVM_FINE_GRAIN_BUFFER | CL_DEVICE_SVM_FINE_GRAIN_SYSTEM) & devinfo->usm)\n ? CL_MEM_SVM_FINE_GRAIN_BUFFER\n : 0);\n memptr = clSVMAlloc(devinfo->context, (cl_svm_mem_flags)(CL_MEM_READ_WRITE | svmflags), nbytes, 0 /*alignment*/);\n# else\n int alignment = LIBXSMM_MAX(0x10000, sizeof(void*));\n if ((ACC_OPENCL_MEM_ALIGNSCALE * ACC_OPENCL_CACHELINE) <= nbytes) {\n const int a = ((ACC_OPENCL_MEM_ALIGNSCALE * ACC_OPENCL_MAXALIGN) <= nbytes ? ACC_OPENCL_MAXALIGN : ACC_OPENCL_CACHELINE);\n if (alignment < a) alignment = a;\n }\n memptr = ACC_OPENCL_MEM_ALLOC(nbytes, alignment);\n# endif\n *dev_mem = memptr;\n }\n else\n# endif\n {\n# if defined(ACC_OPENCL_XHINTS)\n const int devuid = devinfo->uid, devuids = (0x4905 == devuid || 0x020a == devuid || (0x0bd0 <= devuid && 0x0bdb >= devuid));\n const int try_flag = ((0 != (16 & c_dbcsr_acc_opencl_config.xhints) && 0 != devinfo->intel && 0 == devinfo->unified &&\n (devuids || NULL != (ACC_OPENCL_XHINTS)))\n ? (1u << 22)\n : 0);\n memory = clCreateBuffer(devinfo->context, (cl_mem_flags)(CL_MEM_READ_WRITE | try_flag), nbytes, NULL /*host_ptr*/, &result);\n if (0 != try_flag && EXIT_SUCCESS != result) /* retry without try_flag */\n# endif\n {\n memory = clCreateBuffer(devinfo->context, CL_MEM_READ_WRITE, nbytes, NULL /*host_ptr*/, &result);\n }\n if (EXIT_SUCCESS == result) {\n const c_dbcsr_acc_opencl_stream_t* str = NULL;\n static cl_kernel kernel = NULL;\n const size_t size = 1;\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_memory);\n str = c_dbcsr_acc_opencl_stream(NULL /*lock*/, ACC_OPENCL_OMP_TID());\n assert(NULL != str && NULL != memory);\n /* determine device-side value of device-memory object by running some kernel */\n if (NULL == kernel) { /* generate kernel */\n const char source[] = \"kernel void memptr(global unsigned long* ptr) {\\n\"\n \" const union { global unsigned long* p; unsigned long u; } cast = { ptr };\\n\"\n \" const size_t i = get_global_id(0);\\n\"\n \" ptr[i] = cast.u + i;\\n\"\n \"}\\n\";\n assert(sizeof(size_t) == sizeof(cl_ulong));\n result = c_dbcsr_acc_opencl_kernel(0 /*source_kind*/, source, \"memptr\" /*kernel_name*/, NULL /*build_params*/,\n NULL /*build_options*/, NULL /*try_build_options*/, NULL /*try_ok*/, NULL /*extnames*/, 0 /*num_exts*/, &kernel);\n }\n /* TODO: backup/restore memory */\n if (EXIT_SUCCESS == result) result = clSetKernelArg(kernel, 0, sizeof(cl_mem), &memory);\n if (EXIT_SUCCESS == result) {\n result = clEnqueueNDRangeKernel(\n str->queue, kernel, 1 /*work_dim*/, NULL /*offset*/, &size, NULL /*local_work_size*/, 0, NULL, NULL);\n }\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_memory);\n if (EXIT_SUCCESS == result) {\n result = clEnqueueReadBuffer(\n str->queue, memory, CL_TRUE /*blocking*/, 0 /*offset*/, sizeof(void*), &memptr, 0, NULL, NULL /*event*/);\n }\n assert(EXIT_SUCCESS != result || NULL != memptr);\n if (EXIT_SUCCESS == result) {\n c_dbcsr_acc_opencl_info_memptr_t* const info = (c_dbcsr_acc_opencl_info_memptr_t*)c_dbcsr_acc_opencl_pmalloc(\n c_dbcsr_acc_opencl_config.lock_memory, (void**)c_dbcsr_acc_opencl_config.memptrs, &c_dbcsr_acc_opencl_config.nmemptrs);\n if (NULL != info) {\n info->memory = memory;\n info->memptr = memptr;\n *dev_mem = memptr;\n }\n else result = EXIT_FAILURE;\n }\n }\n }\n if (EXIT_SUCCESS != result) {\n if (0 != c_dbcsr_acc_opencl_config.verbosity) {\n fprintf(stderr, \"ERROR ACC/OpenCL: memory=%p pointer=%p size=%llu failed to allocate\\n\", (const void*)memory, memptr,\n (unsigned long long)nbytes);\n }\n if (NULL != memory) ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseMemObject(memory));\n *dev_mem = NULL;\n }\n }\n else *dev_mem = NULL;\n assert(EXIT_SUCCESS == result || NULL == *dev_mem);\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_dev_mem_deallocate(void* dev_mem) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n if (NULL != dev_mem) {\n assert(NULL != c_dbcsr_acc_opencl_config.device.context);\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != c_dbcsr_acc_opencl_config.device.clMemFreeINTEL) {\n result = c_dbcsr_acc_opencl_config.device.clMemFreeINTEL(c_dbcsr_acc_opencl_config.device.context, dev_mem);\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM)\n if (0 != c_dbcsr_acc_opencl_config.device.usm)\n {\n# if (1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM)\n clSVMFree(c_dbcsr_acc_opencl_config.device.context, dev_mem);\n# else\n ACC_OPENCL_MEM_FREE(dev_mem);\n# endif\n }\n else\n# endif\n {\n c_dbcsr_acc_opencl_info_memptr_t* info = NULL;\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_memory);\n info = c_dbcsr_acc_opencl_info_devptr_modify(NULL, dev_mem, 1 /*elsize*/, NULL /*amount*/, NULL /*offset*/);\n if (NULL != info && info->memptr == dev_mem && NULL != info->memory) {\n c_dbcsr_acc_opencl_info_memptr_t* const pfree = c_dbcsr_acc_opencl_config.memptrs[c_dbcsr_acc_opencl_config.nmemptrs];\n result = clReleaseMemObject(info->memory);\n c_dbcsr_acc_opencl_pfree(pfree, (void**)c_dbcsr_acc_opencl_config.memptrs, &c_dbcsr_acc_opencl_config.nmemptrs);\n *info = *pfree;\n LIBXSMM_MEMZERO127(pfree);\n }\n else result = EXIT_FAILURE;\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_memory);\n }\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_dev_mem_set_ptr(void** dev_mem, void* other, size_t offset) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(NULL != dev_mem);\n if (NULL != other || 0 == offset) {\n *dev_mem = (char*)other + offset;\n }\n else {\n result = EXIT_FAILURE;\n *dev_mem = NULL;\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_memcpy_h2d(const void* host_mem, void* dev_mem, size_t nbytes, void* stream) {\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert((NULL != host_mem && NULL != dev_mem) || 0 == nbytes);\n assert(NULL != devinfo->context);\n if (\n# if (0 != ACC_OPENCL_USM)\n host_mem != dev_mem && /* fast-path only sensible without offsets */\n# endif\n NULL != host_mem && NULL != dev_mem && 0 != nbytes)\n {\n# if defined(ACC_OPENCL_ASYNC)\n const cl_bool finish = (0 == (1 & c_dbcsr_acc_opencl_config.async) || NULL == stream ||\n (0 != (8 & c_dbcsr_acc_opencl_config.wa) && 0 != devinfo->intel && 0 != devinfo->unified));\n# else\n const cl_bool finish = CL_TRUE;\n# endif\n const c_dbcsr_acc_opencl_stream_t* str;\n cl_event event = NULL;\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_memory);\n str = (NULL != stream ? ACC_OPENCL_STREAM(stream) : c_dbcsr_acc_opencl_stream(NULL, ACC_OPENCL_OMP_TID()));\n assert(NULL != str);\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clEnqueueMemcpyINTEL) {\n result = devinfo->clEnqueueMemcpyINTEL(\n str->queue, finish, dev_mem, host_mem, nbytes, 0, NULL, NULL == c_dbcsr_acc_opencl_config.hist_h2d ? NULL : &event);\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM)\n if (0 != devinfo->usm)\n {\n# if (1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM)\n result = clEnqueueSVMMemcpy(\n str->queue, finish, dev_mem, host_mem, nbytes, 0, NULL, NULL == c_dbcsr_acc_opencl_config.hist_h2d ? NULL : &event);\n# else\n memcpy(dev_mem, host_mem, nbytes);\n# endif\n }\n else\n# endif\n {\n size_t offset = 0;\n c_dbcsr_acc_opencl_info_memptr_t* const info = c_dbcsr_acc_opencl_info_devptr_modify(\n NULL, dev_mem, 1 /*elsize*/, &nbytes, &offset);\n if (NULL != info) {\n result = clEnqueueWriteBuffer(str->queue, info->memory, finish, offset, nbytes, host_mem, 0, NULL,\n NULL == c_dbcsr_acc_opencl_config.hist_h2d ? NULL : &event);\n }\n else result = EXIT_FAILURE;\n }\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_memory);\n if (NULL != event) { /* c_dbcsr_acc_memcpy_notify must be outside of locked region */\n if (EXIT_SUCCESS == result) {\n void* const data = (void*)(nbytes | ((size_t)c_dbcsr_acc_event_kind_h2d) << 62);\n assert(NULL != c_dbcsr_acc_opencl_config.hist_h2d);\n if (!finish) { /* asynchronous */\n result = clSetEventCallback(event, CL_COMPLETE, c_dbcsr_acc_memcpy_notify, data);\n }\n else c_dbcsr_acc_memcpy_notify(event, CL_COMPLETE, data); /* synchronous */\n }\n else ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseEvent(event));\n }\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\n/* like c_dbcsr_acc_memcpy_d2h, but apply some async workaround. */\nint c_dbcsr_acc_opencl_memcpy_d2h(const void* /*dev_mem*/, void* /*host_mem*/, size_t /*offset*/, size_t /*nbytes*/,\n cl_command_queue /*queue*/, int /*blocking*/, cl_event* /*event*/);\nint c_dbcsr_acc_opencl_memcpy_d2h(\n const void* dev_mem, void* host_mem, size_t offset, size_t nbytes, cl_command_queue queue, int blocking, cl_event* event) {\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n# if defined(ACC_OPENCL_ASYNC)\n const cl_bool finish = (0 != blocking || 0 == (2 & c_dbcsr_acc_opencl_config.async) ||\n (0 != (8 & c_dbcsr_acc_opencl_config.wa) && 0 != devinfo->intel && 0 != devinfo->unified));\n# else\n const cl_bool finish = CL_TRUE;\n# endif\n int result = EXIT_SUCCESS;\n assert(NULL != dev_mem);\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clEnqueueMemcpyINTEL) {\n result = devinfo->clEnqueueMemcpyINTEL(queue, finish, host_mem, (const char*)dev_mem + offset, nbytes, 0, NULL, event);\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM)\n if (0 != devinfo->usm)\n {\n# if (1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM)\n result = clEnqueueSVMMemcpy(queue, finish, host_mem, (const char*)dev_mem + offset, nbytes, 0, NULL, event);\n# else\n memcpy(host_mem, (const char*)dev_mem + offset, nbytes);\n# endif\n }\n else\n# endif\n {\n result = clEnqueueReadBuffer(queue, (cl_mem)(uintptr_t)dev_mem, finish, offset, nbytes, host_mem, 0, NULL, event);\n }\n if (EXIT_SUCCESS != result && !finish) { /* retry synchronously */\n int result_sync = EXIT_FAILURE;\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clEnqueueMemcpyINTEL) {\n result_sync = devinfo->clEnqueueMemcpyINTEL(queue, CL_TRUE, host_mem, (const char*)dev_mem + offset, nbytes, 0, NULL, event);\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM)\n if (0 != devinfo->usm)\n {\n# if (1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM)\n result_sync = clEnqueueSVMMemcpy(queue, CL_TRUE, host_mem, (const char*)dev_mem + offset, nbytes, 0, NULL, event);\n# else\n memcpy(host_mem, (const char*)dev_mem + offset, nbytes);\n# endif\n }\n else\n# endif\n {\n result_sync = clEnqueueReadBuffer(queue, (cl_mem)(uintptr_t)dev_mem, CL_TRUE, offset, nbytes, host_mem, 0, NULL, event);\n }\n if (EXIT_SUCCESS == result_sync) {\n c_dbcsr_acc_opencl_config.async &= ~2; /* retract async feature */\n if (0 != c_dbcsr_acc_opencl_config.verbosity) {\n fprintf(stderr, \"WARN ACC/OpenCL: falling back to synchronous readback (code=%i).\\n\", result);\n }\n result = EXIT_SUCCESS;\n }\n }\n return result;\n}\n\n\nint c_dbcsr_acc_memcpy_d2h(const void* dev_mem, void* host_mem, size_t nbytes, void* stream) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert((NULL != dev_mem && NULL != host_mem) || 0 == nbytes);\n if (\n# if (0 != ACC_OPENCL_USM)\n host_mem != dev_mem && /* fast-path only sensible without offsets */\n# endif\n NULL != host_mem && NULL != dev_mem && 0 != nbytes)\n {\n const cl_bool finish = (NULL != stream ? CL_FALSE : CL_TRUE);\n c_dbcsr_acc_opencl_info_memptr_t* info = NULL;\n cl_event event = NULL;\n size_t offset = 0;\n union {\n const void* input;\n void* ptr;\n } nconst = {dev_mem};\n const c_dbcsr_acc_opencl_stream_t* str;\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_memory);\n str = (NULL != stream ? ACC_OPENCL_STREAM(stream) : c_dbcsr_acc_opencl_stream(NULL, ACC_OPENCL_OMP_TID()));\n assert(NULL != str);\n info = c_dbcsr_acc_opencl_info_devptr_modify(NULL, nconst.ptr, 1 /*elsize*/, &nbytes, &offset);\n if (NULL == info) {\n result = c_dbcsr_acc_opencl_memcpy_d2h(\n dev_mem, host_mem, offset, nbytes, str->queue, finish, NULL == c_dbcsr_acc_opencl_config.hist_d2h ? NULL : &event);\n }\n else {\n result = c_dbcsr_acc_opencl_memcpy_d2h(\n info->memory, host_mem, offset, nbytes, str->queue, finish, NULL == c_dbcsr_acc_opencl_config.hist_d2h ? NULL : &event);\n }\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_memory);\n if (NULL != event) { /* c_dbcsr_acc_memcpy_notify must be outside of locked region */\n if (EXIT_SUCCESS == result) {\n void* const data = (void*)(nbytes | ((size_t)c_dbcsr_acc_event_kind_d2h) << 62);\n assert(NULL != c_dbcsr_acc_opencl_config.hist_d2h);\n if (!finish) { /* asynchronous */\n result = clSetEventCallback(event, CL_COMPLETE, c_dbcsr_acc_memcpy_notify, data);\n }\n else c_dbcsr_acc_memcpy_notify(event, CL_COMPLETE, data); /* synchronous */\n }\n else ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseEvent(event));\n }\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_memcpy_d2d(const void* devmem_src, void* devmem_dst, size_t nbytes, void* stream) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert((NULL != devmem_src && NULL != devmem_dst) || 0 == nbytes);\n if (NULL != devmem_src && devmem_src != devmem_dst && 0 != nbytes) {\n# if defined(ACC_OPENCL_ASYNC)\n cl_event event = NULL, *const pevent = (0 == (4 & c_dbcsr_acc_opencl_config.async) || NULL == stream) ? &event : NULL;\n# else\n cl_event event = NULL, *const pevent = NULL;\n# endif\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n union {\n const void* input;\n void* ptr;\n } nconst = {devmem_src};\n const c_dbcsr_acc_opencl_stream_t* str;\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_memory);\n str = (NULL != stream ? ACC_OPENCL_STREAM(stream) : c_dbcsr_acc_opencl_stream(NULL, ACC_OPENCL_OMP_TID()));\n assert(NULL != str && NULL != devinfo->context);\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clEnqueueMemcpyINTEL) {\n result = devinfo->clEnqueueMemcpyINTEL(str->queue, CL_FALSE /*blocking*/, devmem_dst, devmem_src, nbytes, 0, NULL,\n NULL == c_dbcsr_acc_opencl_config.hist_d2d ? pevent : &event);\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM)\n if (0 != devinfo->usm)\n {\n# if (1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM)\n result = clEnqueueSVMMemcpy(str->queue, CL_FALSE /*blocking*/, devmem_dst, devmem_src, nbytes, 0, NULL,\n NULL == c_dbcsr_acc_opencl_config.hist_d2d ? pevent : &event);\n# else\n memcpy(devmem_dst, devmem_src, nbytes);\n# endif\n }\n else\n# endif\n {\n size_t offset_src = 0, offset_dst = 0;\n c_dbcsr_acc_opencl_info_memptr_t* const info_src = c_dbcsr_acc_opencl_info_devptr_modify(\n NULL, nconst.ptr, 1 /*elsize*/, &nbytes, &offset_src);\n c_dbcsr_acc_opencl_info_memptr_t* const info_dst = c_dbcsr_acc_opencl_info_devptr_modify(\n NULL, devmem_dst, 1 /*elsize*/, &nbytes, &offset_dst);\n if (NULL != info_src && NULL != info_dst) {\n result = clEnqueueCopyBuffer(str->queue, info_src->memory, info_dst->memory, offset_src, offset_dst, nbytes, 0, NULL,\n NULL == c_dbcsr_acc_opencl_config.hist_d2d ? pevent : &event);\n }\n else result = EXIT_FAILURE;\n }\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_memory);\n if (NULL != event) { /* c_dbcsr_acc_memcpy_notify must be outside of locked region */\n if (EXIT_SUCCESS == result) {\n void* const data = (void*)(nbytes | ((size_t)c_dbcsr_acc_event_kind_d2d) << 62);\n if (NULL == pevent) { /* asynchronous */\n assert(NULL != c_dbcsr_acc_opencl_config.hist_d2d);\n result = clSetEventCallback(event, CL_COMPLETE, c_dbcsr_acc_memcpy_notify, data);\n }\n else { /* synchronous */\n result = clWaitForEvents(1, &event);\n if (EXIT_SUCCESS == result) {\n if (NULL != c_dbcsr_acc_opencl_config.hist_d2d) {\n c_dbcsr_acc_memcpy_notify(event, CL_COMPLETE, data);\n }\n else result = clReleaseEvent(event);\n }\n else ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseEvent(event));\n }\n }\n else ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseEvent(event));\n }\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_opencl_memset(void* dev_mem, int value, size_t offset, size_t nbytes, void* stream) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(NULL != dev_mem || 0 == nbytes);\n if (0 != nbytes) {\n# if defined(ACC_OPENCL_ASYNC)\n cl_event event = NULL, *const pevent = (0 == (8 & c_dbcsr_acc_opencl_config.async) || NULL == stream) ? &event : NULL;\n# else\n cl_event event = NULL, *const pevent = NULL;\n# endif\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n const c_dbcsr_acc_opencl_stream_t* str;\n size_t base = 0, vsize = 1;\n if (0 == LIBXSMM_MOD2(nbytes, 4)) vsize = 4;\n else if (0 == LIBXSMM_MOD2(nbytes, 2)) vsize = 2;\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_memory);\n str = (NULL != stream ? ACC_OPENCL_STREAM(stream) : c_dbcsr_acc_opencl_stream(NULL, ACC_OPENCL_OMP_TID()));\n assert(NULL != str && NULL != devinfo->context);\n# if (1 >= ACC_OPENCL_USM)\n if (NULL != devinfo->clEnqueueMemFillINTEL) {\n result = devinfo->clEnqueueMemFillINTEL(str->queue, (char*)dev_mem + offset, &value, vsize, nbytes, 0, NULL, pevent);\n }\n else\n# endif\n# if (0 != ACC_OPENCL_USM)\n if (0 != devinfo->usm)\n {\n# if (1 >= ACC_OPENCL_USM) || defined(ACC_OPENCL_MEM_SVM_USM)\n result = clEnqueueSVMMemFill(str->queue, (char*)dev_mem + offset, &value, vsize, nbytes, 0, NULL, pevent);\n# else\n memset((char*)dev_mem + offset, value, nbytes);\n# endif\n }\n else\n# endif\n {\n const c_dbcsr_acc_opencl_info_memptr_t* const info = c_dbcsr_acc_opencl_info_devptr_modify(\n NULL, dev_mem, 1 /*elsize*/, &nbytes, &base);\n if (NULL != info) {\n result = clEnqueueFillBuffer(str->queue, info->memory, &value, vsize, base + offset, nbytes, 0, NULL, pevent);\n dev_mem = info->memptr;\n }\n else result = EXIT_FAILURE;\n }\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_memory);\n if (NULL != event) {\n int result_release;\n if (EXIT_SUCCESS == result) result = clWaitForEvents(1, &event);\n result_release = clReleaseEvent(event);\n if (EXIT_SUCCESS == result) result = result_release;\n }\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_memset_zero(void* dev_mem, size_t offset, size_t nbytes, void* stream) {\n return c_dbcsr_acc_opencl_memset(dev_mem, 0 /*value*/, offset, nbytes, stream);\n}\n\n\nint c_dbcsr_acc_opencl_info_devmem(cl_device_id device, size_t* mem_free, size_t* mem_total, size_t* mem_local, int* mem_unified) {\n int result = EXIT_SUCCESS, unified = 0;\n size_t size_free = 0, size_total = 0, size_local = 0;\n cl_device_local_mem_type cl_local_type = CL_GLOBAL;\n cl_ulong cl_size_total = 0, cl_size_local = 0;\n cl_bool cl_unified = CL_FALSE;\n# if !defined(_WIN32)\n# if defined(_SC_PAGE_SIZE)\n const long page_size = sysconf(_SC_PAGE_SIZE);\n# else\n const long page_size = 4096;\n# endif\n long pages_free = 0, pages_total = 0;\n# if defined(__linux__)\n# if defined(_SC_PHYS_PAGES)\n pages_total = sysconf(_SC_PHYS_PAGES);\n# else\n pages_total = 0;\n# endif\n# if defined(_SC_AVPHYS_PAGES)\n pages_free = sysconf(_SC_AVPHYS_PAGES);\n# else\n pages_free = pages_total;\n# endif\n# elif defined(__APPLE__) && defined(__MACH__)\n /*const*/ size_t size_pages_free = sizeof(const long), size_pages_total = sizeof(const long);\n ACC_OPENCL_EXPECT(0 == sysctlbyname(\"hw.memsize\", &pages_total, &size_pages_total, NULL, 0));\n if (0 < page_size) pages_total /= page_size;\n if (0 != sysctlbyname(\"vm.page_free_count\", &pages_free, &size_pages_free, NULL, 0)) {\n pages_free = pages_total;\n }\n# endif\n if (0 < page_size && 0 <= pages_free && 0 <= pages_total) {\n const size_t size_page = (size_t)page_size;\n size_total = size_page * (size_t)pages_total;\n size_free = size_page * (size_t)pages_free;\n }\n# else\n MEMORYSTATUSEX mem_status;\n mem_status.dwLength = sizeof(mem_status);\n if (GlobalMemoryStatusEx(&mem_status)) {\n size_total = (size_t)mem_status.ullTotalPhys;\n size_free = (size_t)mem_status.ullAvailPhys;\n }\n# endif\n ACC_OPENCL_CHECK(result, clGetDeviceInfo(device, CL_DEVICE_GLOBAL_MEM_SIZE, sizeof(cl_ulong), &cl_size_total, NULL),\n \"retrieve amount of global memory\");\n ACC_OPENCL_CHECK(result,\n clGetDeviceInfo(device, CL_DEVICE_LOCAL_MEM_TYPE, sizeof(cl_device_local_mem_type), &cl_local_type, NULL),\n \"retrieve kind of local memory\");\n if (CL_LOCAL == cl_local_type) {\n ACC_OPENCL_CHECK(result, clGetDeviceInfo(device, CL_DEVICE_LOCAL_MEM_SIZE, sizeof(cl_ulong), &cl_size_local, NULL),\n \"retrieve amount of local memory\");\n }\n ACC_OPENCL_CHECK(result, clGetDeviceInfo(device, CL_DEVICE_HOST_UNIFIED_MEMORY, sizeof(cl_bool), &cl_unified, NULL),\n \"retrieve if host memory is unified\");\n if (EXIT_SUCCESS == result) {\n if (cl_size_total < size_total) size_total = cl_size_total;\n if (size_total < size_free) size_free = size_total;\n size_local = cl_size_local;\n unified = cl_unified;\n assert(size_free <= size_total);\n }\n assert(NULL != mem_local || NULL != mem_total || NULL != mem_free || NULL != mem_unified);\n if (NULL != mem_unified) *mem_unified = unified;\n if (NULL != mem_local) *mem_local = size_local;\n if (NULL != mem_total) *mem_total = size_total;\n if (NULL != mem_free) *mem_free = size_free;\n return result;\n}\n\n\nint c_dbcsr_acc_dev_mem_info(size_t* mem_free, size_t* mem_total) {\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n int result;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n result = c_dbcsr_acc_opencl_info_devmem(device_id, mem_free, mem_total, NULL /*mem_local*/, NULL /*mem_unified*/);\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n# if defined(__cplusplus)\n}\n# endif\n\n#endif /*__OPENCL*/\n" }, { "path": "src/acc/opencl/acc_opencl_stream.c", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#if defined(__OPENCL)\n# include \"acc_opencl.h\"\n# include \n\n\n# if defined(__cplusplus)\nextern \"C\" {\n# endif\n\n\nconst c_dbcsr_acc_opencl_stream_t* c_dbcsr_acc_opencl_stream(ACC_OPENCL_LOCKTYPE* lock, int thread_id) {\n const c_dbcsr_acc_opencl_stream_t *result = NULL, *result_main = NULL;\n const size_t n = ACC_OPENCL_MAXNITEMS * c_dbcsr_acc_opencl_config.nthreads;\n size_t i;\n assert(NULL != c_dbcsr_acc_opencl_config.streams);\n assert(thread_id < c_dbcsr_acc_opencl_config.nthreads);\n if (NULL != lock) ACC_OPENCL_ACQUIRE(lock);\n for (i = c_dbcsr_acc_opencl_config.nstreams; i < n; ++i) {\n const c_dbcsr_acc_opencl_stream_t* const str = c_dbcsr_acc_opencl_config.streams[i];\n if (NULL != str && NULL != str->queue) {\n if (str->tid == thread_id || 0 > thread_id) { /* hit */\n result = str;\n break;\n }\n else if (NULL == result_main && 0 == str->tid) {\n result_main = str;\n }\n }\n else break; /* error */\n }\n if (NULL == result) { /* fallback */\n assert(NULL != c_dbcsr_acc_opencl_config.device.context);\n result = (NULL != result_main ? result_main : &c_dbcsr_acc_opencl_config.device.stream);\n }\n if (NULL != lock) ACC_OPENCL_RELEASE(lock);\n return result;\n}\n\n\nconst c_dbcsr_acc_opencl_stream_t* c_dbcsr_acc_opencl_stream_default(void) {\n const c_dbcsr_acc_opencl_stream_t* result = NULL;\n result = c_dbcsr_acc_opencl_stream(c_dbcsr_acc_opencl_config.lock_stream, ACC_OPENCL_OMP_TID());\n assert(NULL != result);\n return result;\n}\n\n\nint c_dbcsr_acc_stream_create(void** stream_p, const char* name, int priority) {\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n ACC_OPENCL_STREAM_PROPERTIES_TYPE properties[8] = {\n CL_QUEUE_PROPERTIES, 0 /*placeholder*/, 0 /* terminator */\n };\n int result, tid = 0, offset = 0;\n cl_command_queue queue = NULL;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(NULL != stream_p);\n# if !defined(ACC_OPENCL_STREAM_PRIORITIES)\n LIBXSMM_UNUSED(priority);\n# else\n if (CL_QUEUE_PRIORITY_HIGH_KHR <= priority && CL_QUEUE_PRIORITY_LOW_KHR >= priority) {\n properties[3] = priority;\n }\n else {\n int least = -1, greatest = -1;\n if (0 != (1 & c_dbcsr_acc_opencl_config.priority) && EXIT_SUCCESS == c_dbcsr_acc_stream_priority_range(&least, &greatest) &&\n least != greatest)\n {\n properties[3] = (0 != (2 & c_dbcsr_acc_opencl_config.priority) &&\n (NULL != LIBXSMM_STRISTR(name, \"calc\") || (NULL != strstr(name, \"priority\"))))\n ? CL_QUEUE_PRIORITY_HIGH_KHR\n : CL_QUEUE_PRIORITY_MED_KHR;\n }\n else {\n properties[3] = least;\n }\n }\n if (CL_QUEUE_PRIORITY_HIGH_KHR <= properties[3] && CL_QUEUE_PRIORITY_LOW_KHR >= properties[3]) {\n priority = properties[3]; /* sanitize */\n properties[2] = CL_QUEUE_PRIORITY_KHR;\n properties[4] = 0; /* terminator */\n }\n# endif\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_stream);\n# if defined(_OPENMP)\n {\n static int c_dbcsr_acc_opencl_stream_counter_base = 0;\n static int c_dbcsr_acc_opencl_stream_counter = 0;\n if (1 < omp_get_num_threads()) {\n const int i = c_dbcsr_acc_opencl_stream_counter++;\n assert(0 < c_dbcsr_acc_opencl_config.nthreads);\n tid = (i < c_dbcsr_acc_opencl_config.nthreads ? i : (i % c_dbcsr_acc_opencl_config.nthreads));\n }\n else offset = c_dbcsr_acc_opencl_stream_counter_base++;\n }\n# endif\n if (NULL == devinfo->context)\n# if defined(ACC_OPENCL_ACTIVATE)\n {\n result = EXIT_FAILURE;\n }\n else\n# else\n {\n result = c_dbcsr_acc_opencl_set_active_device(NULL /*lock*/, c_dbcsr_acc_opencl_config.device_id);\n }\n if (NULL != devinfo->context)\n# endif\n {\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n if (NULL != c_dbcsr_acc_opencl_config.hist_h2d || NULL != c_dbcsr_acc_opencl_config.hist_d2h ||\n NULL != c_dbcsr_acc_opencl_config.hist_d2d)\n {\n properties[1] |= CL_QUEUE_PROFILING_ENABLE;\n }\n# if defined(ACC_OPENCL_XHINTS)\n if ((2 & c_dbcsr_acc_opencl_config.xhints) && 0 != devinfo->intel) {\n properties[1] |= (((ACC_OPENCL_STREAM_PROPERTIES_TYPE)1) << 31); /* CL_QUEUE_THREAD_LOCAL_EXEC_ENABLE_INTEL */\n }\n if ((4 & c_dbcsr_acc_opencl_config.xhints) && 0 != devinfo->intel) {\n struct {\n cl_command_queue_properties properties;\n cl_bitfield capabilities;\n cl_uint count;\n char name[64 /*CL_QUEUE_FAMILY_MAX_NAME_SIZE_INTEL*/];\n } intel_qfprops[16];\n const int j = (0 /*terminator*/ == properties[2] ? 2 : 4);\n size_t nbytes = 0, i;\n if (EXIT_SUCCESS == clGetDeviceInfo(device_id, 0x418B /*CL_DEVICE_QUEUE_FAMILY_PROPERTIES_INTEL*/, sizeof(intel_qfprops),\n intel_qfprops, &nbytes))\n { /* enable queue families */\n for (i = 0; (i * sizeof(*intel_qfprops)) < nbytes; ++i) {\n if (0 /*CL_QUEUE_DEFAULT_CAPABILITIES_INTEL*/ == intel_qfprops[i].capabilities && 1 < intel_qfprops[i].count) {\n properties[j + 0] = 0x418C; /* CL_QUEUE_FAMILY_INTEL */\n properties[j + 1] = (int)i;\n properties[j + 2] = 0x418D; /* CL_QUEUE_INDEX_INTEL */\n properties[j + 3] = (i + offset) % intel_qfprops[i].count;\n properties[j + 4] = 0; /* terminator */\n break;\n }\n }\n }\n }\n# endif\n queue = ACC_OPENCL_CREATE_COMMAND_QUEUE(devinfo->context, device_id, properties, &result);\n }\n if (EXIT_SUCCESS == result) { /* register stream */\n assert(NULL != c_dbcsr_acc_opencl_config.streams && NULL != queue);\n *stream_p = c_dbcsr_acc_opencl_pmalloc(\n NULL /*lock*/, (void**)c_dbcsr_acc_opencl_config.streams, &c_dbcsr_acc_opencl_config.nstreams);\n if (NULL != *stream_p) {\n c_dbcsr_acc_opencl_stream_t* const str = (c_dbcsr_acc_opencl_stream_t*)*stream_p;\n# if !defined(NDEBUG)\n LIBXSMM_MEMZERO127(str);\n# endif\n str->queue = queue;\n str->tid = tid;\n# if defined(ACC_OPENCL_STREAM_PRIORITIES)\n str->priority = priority;\n# endif\n }\n else result = EXIT_FAILURE;\n }\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_stream);\n if (EXIT_SUCCESS != result && NULL != queue) {\n clReleaseCommandQueue(queue);\n *stream_p = NULL;\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result, name);\n}\n\n\nint c_dbcsr_acc_stream_destroy(void* stream) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n if (NULL != stream) {\n const c_dbcsr_acc_opencl_stream_t* const str = ACC_OPENCL_STREAM(stream);\n const cl_command_queue queue = str->queue;\n assert(NULL != c_dbcsr_acc_opencl_config.streams);\n ACC_OPENCL_ACQUIRE(c_dbcsr_acc_opencl_config.lock_stream);\n c_dbcsr_acc_opencl_pfree(stream, (void**)c_dbcsr_acc_opencl_config.streams, &c_dbcsr_acc_opencl_config.nstreams);\n if (NULL != queue) {\n result = clReleaseCommandQueue(queue);\n# if !defined(NDEBUG)\n LIBXSMM_MEMZERO127((c_dbcsr_acc_opencl_stream_t*)stream);\n# endif\n }\n ACC_OPENCL_RELEASE(c_dbcsr_acc_opencl_config.lock_stream);\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_stream_priority_range(int* least, int* greatest) {\n int result = ((NULL != least || NULL != greatest) ? EXIT_SUCCESS : EXIT_FAILURE);\n int priohi = -1, priolo = -1;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n assert(least != greatest); /* no alias */\n# if defined(ACC_OPENCL_STREAM_PRIORITIES)\n if (0 < c_dbcsr_acc_opencl_config.ndevices) {\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n char buffer[ACC_OPENCL_BUFFERSIZE];\n cl_platform_id platform = NULL;\n assert(NULL != devinfo->context);\n ACC_OPENCL_CHECK(result, clGetDeviceInfo(device_id, CL_DEVICE_PLATFORM, sizeof(cl_platform_id), &platform, NULL),\n \"retrieve platform associated with active device\");\n ACC_OPENCL_CHECK(result, clGetPlatformInfo(platform, CL_PLATFORM_EXTENSIONS, ACC_OPENCL_BUFFERSIZE, buffer, NULL),\n \"retrieve platform extensions\");\n if (EXIT_SUCCESS == result) {\n if (NULL != strstr(buffer, \"cl_khr_priority_hints\") ||\n EXIT_SUCCESS == c_dbcsr_acc_opencl_device_vendor(device_id, \"nvidia\", 0 /*use_platform_name*/))\n {\n priohi = CL_QUEUE_PRIORITY_HIGH_KHR;\n priolo = CL_QUEUE_PRIORITY_LOW_KHR;\n }\n }\n }\n# endif\n if (NULL != greatest) *greatest = priohi;\n if (NULL != least) *least = priolo;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_stream_sync(void* stream) {\n const c_dbcsr_acc_opencl_stream_t* str = NULL;\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n static const char* routine_name_ptr = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n c_dbcsr_timeset((const char**)&routine_name_ptr, &routine_name_len, &routine_handle);\n }\n# endif\n str = (NULL != stream ? ACC_OPENCL_STREAM(stream) : c_dbcsr_acc_opencl_stream_default());\n assert(NULL != str && NULL != str->queue);\n if (0 == (16 & c_dbcsr_acc_opencl_config.wa)) result = clFinish(str->queue);\n else {\n cl_event event = NULL;\n# if defined(CL_VERSION_1_2)\n result = clEnqueueMarkerWithWaitList(str->queue, 0, NULL, &event);\n# else\n result = clEnqueueMarker(str->queue, &event);\n# endif\n if (EXIT_SUCCESS == result) {\n assert(NULL != event);\n result = clWaitForEvents(1, &event);\n }\n if (NULL != event) ACC_OPENCL_EXPECT(EXIT_SUCCESS == clReleaseEvent(event));\n }\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_dbcsr_acc_opencl_device_synchronize(ACC_OPENCL_LOCKTYPE* lock, int thread_id) {\n int result = EXIT_SUCCESS;\n const size_t n = ACC_OPENCL_MAXNITEMS * c_dbcsr_acc_opencl_config.nthreads;\n size_t i;\n assert(thread_id < c_dbcsr_acc_opencl_config.nthreads);\n assert(NULL != c_dbcsr_acc_opencl_config.streams);\n if (NULL != lock) ACC_OPENCL_ACQUIRE(lock);\n for (i = c_dbcsr_acc_opencl_config.nstreams; i < n; ++i) {\n const c_dbcsr_acc_opencl_stream_t* const str = c_dbcsr_acc_opencl_config.streams[i];\n if (NULL != str && NULL != str->queue) {\n if (0 > thread_id || str->tid == thread_id) { /* hit */\n result = clFinish(str->queue);\n if (EXIT_SUCCESS != result) break;\n }\n }\n else { /* error */\n result = EXIT_FAILURE;\n break;\n }\n }\n if (NULL != lock) ACC_OPENCL_RELEASE(lock);\n return result;\n}\n\n\nint c_dbcsr_acc_device_synchronize(void) {\n int result = EXIT_SUCCESS;\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n int routine_handle;\n if (0 != c_dbcsr_acc_opencl_config.profile) {\n const char** routine_name_ptr;\n const int* routine_name_len;\n# if defined(_OPENMP)\n if (1 == omp_get_num_threads()) {\n static const char* routine_name_ptr_all = \"c_dbcsr_acc_device_synchronize_all\" + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len_all = (int)sizeof(\"c_dbcsr_acc_device_synchronize_all\") - (ACC_OPENCL_PROFILE_DBCSR + 1);\n routine_name_ptr = (const char**)&routine_name_ptr_all;\n routine_name_len = &routine_name_len_all;\n }\n else\n# endif\n {\n static const char* routine_name_ptr_any = LIBXSMM_FUNCNAME + ACC_OPENCL_PROFILE_DBCSR;\n static const int routine_name_len_any = (int)sizeof(LIBXSMM_FUNCNAME) - (ACC_OPENCL_PROFILE_DBCSR + 1);\n routine_name_ptr = (const char**)&routine_name_ptr_any;\n routine_name_len = &routine_name_len_any;\n }\n c_dbcsr_timeset(routine_name_ptr, routine_name_len, &routine_handle);\n }\n# endif\n# if defined(_OPENMP)\n if (1 == omp_get_num_threads()) {\n result = c_dbcsr_acc_opencl_device_synchronize(c_dbcsr_acc_opencl_config.lock_stream, -1 /*all*/);\n }\n else {\n result = c_dbcsr_acc_opencl_device_synchronize(NULL /*lock*/, omp_get_thread_num());\n }\n# else\n result = c_dbcsr_acc_opencl_device_synchronize(NULL /*lock*/, /*main*/ 0);\n# endif\n# if defined(ACC_OPENCL_PROFILE_DBCSR)\n if (0 != c_dbcsr_acc_opencl_config.profile) c_dbcsr_timestop(&routine_handle);\n# endif\n ACC_OPENCL_RETURN(result);\n}\n\n# if defined(__cplusplus)\n}\n# endif\n\n#endif /*__OPENCL*/\n" }, { "path": "src/acc/opencl/common/opencl_atomics.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#ifndef OPENCL_ATOMICS_H\n#define OPENCL_ATOMICS_H\n\n#include \"opencl_common.h\"\n\n#if (2 == TAN /*c_dbcsr_acc_opencl_atomic_fp_64*/)\n# if !defined(T)\n# define T double\n# endif\n# define ZERO 0.0\n#elif (1 == TAN /*c_dbcsr_acc_opencl_atomic_fp_32*/)\n# if !defined(T)\n# define T float\n# endif\n# define ZERO 0.f\n#elif defined(T) /*c_dbcsr_acc_opencl_atomic_fp_no*/\n# define ZERO 0\n#endif\n\n#define GLOBAL_VOLATILE(A) global volatile A\n\n#if defined(ATOMIC_PROTOTYPES) || defined(__opencl_c_ext_fp64_global_atomic_add)\n# if defined(__opencl_c_ext_fp64_global_atomic_add)\n# undef ATOMIC_ADD_GLOBAL\n# if defined(TF)\n# define ATOMIC_ADD_GLOBAL(A, B) \\\n atomic_fetch_add_explicit((GLOBAL_VOLATILE(TF)*)A, B, memory_order_relaxed, memory_scope_work_group)\n# else\n# define ATOMIC_ADD_GLOBAL(A, B) atomic_add(A, B)\n# endif\n# elif (2 < ATOMIC_PROTOTYPES) && defined(TF)\n# undef ATOMIC_ADD_GLOBAL\n# define ATOMIC_ADD_GLOBAL(A, B) \\\n __opencl_atomic_fetch_add((GLOBAL_VOLATILE(TF)*)A, B, memory_order_relaxed, memory_scope_work_group)\n# else\n# if defined(TF) && (!defined(ATOMIC_PROTOTYPES) || 1 < ATOMIC_PROTOTYPES)\n__attribute__((overloadable)) T atomic_fetch_add_explicit(GLOBAL_VOLATILE(TF) *, T, memory_order, memory_scope);\n# else\n__attribute__((overloadable)) T atomic_add(GLOBAL_VOLATILE(T) *, T);\n# endif\n# endif\n#endif\n\n#define ACCUMULATE(A, B) ATOMIC_ADD_GLOBAL(A, B)\n\n\n#if !defined(cl_intel_global_float_atomics) || (2 == TAN /*c_dbcsr_acc_opencl_atomic_fp_64*/)\n# if defined(ATOMIC32_ADD64)\n__attribute__((always_inline)) inline void atomic32_add64_global(GLOBAL_VOLATILE(double) * dst, double inc) {\n *dst += inc; /* TODO */\n}\n# endif\n#endif\n\n\n#if !defined(cl_intel_global_float_atomics) || (2 == TAN /*c_dbcsr_acc_opencl_atomic_fp_64*/)\n# if defined(CMPXCHG)\n__attribute__((always_inline)) inline void atomic_add_global_cmpxchg(GLOBAL_VOLATILE(T) * dst, T inc) {\n# if !defined(ATOMIC32_ADD64)\n union {\n T f;\n TA a;\n } exp_val, try_val, cur_val = {.f = *dst};\n do {\n exp_val.a = cur_val.a;\n try_val.f = exp_val.f + inc;\n# if defined(TA2)\n if (0 == atomic_compare_exchange_weak_explicit((GLOBAL_VOLATILE(TA2)*)dst, &cur_val.a, try_val.a, memory_order_relaxed,\n memory_order_relaxed, memory_scope_work_group))\n continue;\n# else\n cur_val.a = CMPXCHG((GLOBAL_VOLATILE(TA)*)dst, exp_val.a, try_val.a);\n# endif\n } while (cur_val.a != exp_val.a);\n# else\n atomic32_add64_global(dst, inc);\n# endif\n}\n# endif\n#endif\n\n\n#if !defined(cl_intel_global_float_atomics) || (2 == TAN /*c_dbcsr_acc_opencl_atomic_fp_64*/)\n# if defined(ATOMIC_ADD2_GLOBAL) && (1 == TAN /*c_dbcsr_acc_opencl_atomic_fp_32*/)\n__attribute__((always_inline)) inline void atomic_add_global_cmpxchg2(GLOBAL_VOLATILE(float) * dst, float2 inc) {\n union {\n float2 f;\n long a;\n } exp_val, try_val, cur_val = {.f = (float2)(dst[0], dst[1])};\n do {\n exp_val.a = cur_val.a;\n try_val.f = exp_val.f + inc;\n# if defined(TA2)\n if (0 == atomic_compare_exchange_weak_explicit((GLOBAL_VOLATILE(atomic_long)*)dst, &cur_val.a, try_val.a, memory_order_relaxed,\n memory_order_relaxed, memory_scope_work_group))\n continue;\n# else\n cur_val.a = atom_cmpxchg((GLOBAL_VOLATILE(long)*)dst, exp_val.a, try_val.a);\n# endif\n } while (cur_val.a != exp_val.a);\n}\n# endif\n#endif\n\n\n#if !defined(cl_intel_global_float_atomics) || (2 == TAN /*c_dbcsr_acc_opencl_atomic_fp_64*/)\n# if defined(XCHG) || (defined(__NV_CL_C_VERSION) && !defined(CMPXCHG) && !defined(ATOMIC_PROTOTYPES))\n__attribute__((always_inline)) inline void atomic_add_global_xchg(GLOBAL_VOLATILE(T) * dst, T inc) {\n# if !defined(ATOMIC32_ADD64)\n# if (defined(__NV_CL_C_VERSION) && !defined(XCHG)) && (1 == TAN /*c_dbcsr_acc_opencl_atomic_fp_32*/)\n asm(\"{ .reg .f32 t; atom.global.add.f32 t, [%0], %1; }\" ::\"l\"(dst), \"f\"(inc));\n# elif (defined(__NV_CL_C_VERSION) && !defined(XCHG)) && (2 == TAN /*c_dbcsr_acc_opencl_atomic_fp_64*/)\n asm(\"{ .reg .f64 t; atom.global.add.f64 t, [%0], %1; }\" ::\"l\"(dst), \"d\"(inc));\n# else\n union {\n T f;\n TA a;\n } exp_val = {.f = inc}, try_val, cur_val = {/*.f = ZERO*/ .a = 0};\n do {\n# if defined(TA2)\n try_val.a = atomic_exchange_explicit((GLOBAL_VOLATILE(TA2)*)dst, cur_val.a, memory_order_relaxed, memory_scope_work_group);\n# else\n try_val.a = XCHG((GLOBAL_VOLATILE(TA)*)dst, cur_val.a);\n# endif\n try_val.f += exp_val.f;\n# if defined(TA2)\n exp_val.a = atomic_exchange_explicit((GLOBAL_VOLATILE(TA2)*)dst, try_val.a, memory_order_relaxed, memory_scope_work_group);\n# else\n exp_val.a = XCHG((GLOBAL_VOLATILE(TA)*)dst, try_val.a);\n# endif\n } while (cur_val.a != exp_val.a);\n# endif\n# else\n atomic32_add64_global(dst, inc);\n# endif\n}\n# endif\n#endif\n\n#endif /*OPENCL_ATOMICS_H*/\n" }, { "path": "src/acc/opencl/common/opencl_common.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#ifndef OPENCL_COMMON_H\n#define OPENCL_COMMON_H\n\n#if !defined(ACC_OPENCL_C_VERSION)\n# define ACC_OPENCL_C_VERSION __OPENCL_C_VERSION__\n#endif\n#if !defined(ACC_OPENCL_VERSION)\n# define ACC_OPENCL_VERSION __OPENCL_VERSION__\n#endif\n\n#if (200 /*CL_VERSION_2_0*/ <= ACC_OPENCL_C_VERSION) || defined(__NV_CL_C_VERSION)\n# define UNROLL_FORCE(N) __attribute__((opencl_unroll_hint(N)))\n# define UNROLL_AUTO __attribute__((opencl_unroll_hint))\n#else\n# define UNROLL_FORCE(N)\n# define UNROLL_AUTO\n#endif\n\n#if !defined(LU) || (-1 == LU)\n# define UNROLL_OUTER(N)\n# define UNROLL(N)\n#else /* (-2) full, (-1) no hints, (0) inner, (1) outer-dehint, (2) block-m */\n# if (1 <= LU) /* outer-dehint */\n# define UNROLL_OUTER(N) UNROLL_FORCE(1)\n# elif (-1 > LU) /* full */\n# define UNROLL_OUTER(N) UNROLL_FORCE(N)\n# else /* inner */\n# define UNROLL_OUTER(N)\n# endif\n# define UNROLL(N) UNROLL_FORCE(N)\n#endif\n\n#define BCST_NO(V, I) (V)\n#if defined(WG) && (0 < WG) && defined(GPU) && (200 <= ACC_OPENCL_VERSION)\n# define BCST_WG(V, I) work_group_broadcast(V, I)\n#endif\n#if defined(SG) && (0 < SG) && defined(GPU) && (200 <= ACC_OPENCL_VERSION)\n# define BCST_SG(V, I) sub_group_broadcast(V, I)\n#endif\n\n#if !defined(MIN)\n# define MIN(A, B) ((A) < (B) ? (A) : (B))\n#endif\n#if !defined(MAX)\n# define MAX(A, B) ((A) < (B) ? (B) : (A))\n#endif\n#if !defined(MAD)\n# define MAD fma\n#endif\n\n#define DIVUP(A, B) (((A) + (B) - 1) / (B))\n#define NUP(N, UP) (DIVUP(N, UP) * (UP))\n#define BLR(N, BN) (NUP(N, BN) - (N))\n\n#define IDX(I, J, M, N) ((int)(I) * (N) + (J))\n#define IDT(I, J, M, N) IDX(J, I, N, M)\n\n#endif /*OPENCL_COMMON_H*/\n" }, { "path": "src/acc/opencl/smm/.gitignore", "content": "opencl_kernels.h\n.with_gpu\n" }, { "path": "src/acc/opencl/smm/CMakeLists.txt", "content": "set(DBCSR_OPENCL_PARAMS_WITHGPU\n ${CMAKE_CURRENT_SOURCE_DIR}/params/tune_multiply_${WITH_GPU}.csv)\nset(DBCSR_OPENCL_PARAMS_CUSTOM ${CMAKE_CURRENT_SOURCE_DIR}/tune_multiply.csv)\n\nif (EXISTS ${DBCSR_OPENCL_PARAMS_WITHGPU})\n set(DBCSR_OPENCL_SCRIPT_MSG\n \"ACC/LIBSMM OpenCL: using parameters for ${WITH_GPU}\")\n set(DBCSR_OPENCL_PARAMS ${DBCSR_OPENCL_PARAMS_WITHGPU})\nelseif (WITH_GPU MATCHES \"none\")\n set(DBCSR_OPENCL_SCRIPT_MSG \"ACC/LIBSMM OpenCL: no tuned parameters used\")\n set(DBCSR_OPENCL_SCRIPT_ARGS -p \\\"\\\")\nelseif (EXISTS ${DBCSR_OPENCL_PARAMS_CUSTOM})\n set(DBCSR_OPENCL_SCRIPT_MSG \"ACC/LIBSMM OpenCL: using custom parameters\")\n set(DBCSR_OPENCL_PARAMS ${DBCSR_OPENCL_PARAMS_CUSTOM})\nelse ()\n set(DBCSR_OPENCL_SCRIPT_MSG \"ACC/LIBSMM OpenCL: using all tuned parameters\")\nendif ()\nmessage(STATUS ${DBCSR_OPENCL_SCRIPT_MSG})\n\nset(DBCSR_OPENCL_KERNELS kernels/multiply.cl kernels/transpose.cl)\nlist(TRANSFORM DBCSR_OPENCL_KERNELS PREPEND ${CMAKE_CURRENT_SOURCE_DIR}/)\n\nlist(APPEND DBCSR_OPENCL_DEPENDS ${DBCSR_ACC_HEADER} ${DBCSR_OPENCL_COMMON})\nlist(TRANSFORM DBCSR_OPENCL_DEPENDS PREPEND ${DBCSR_SOURCE_DIR}/)\n\nset(DBCSR_OPENCL_KHEADER opencl_kernels.h)\n\nadd_custom_command(\n COMMAND\n ${DBCSR_OPENCL_SCRIPT} ${DBCSR_OPENCL_SCRIPT_ARGS} ${DBCSR_OPENCL_KERNELS}\n ${DBCSR_OPENCL_PARAMS} ${CMAKE_CURRENT_SOURCE_DIR}/${DBCSR_OPENCL_KHEADER}\n DEPENDS ${DBCSR_OPENCL_DEPENDS} ${DBCSR_OPENCL_KERNELS} ${DBCSR_OPENCL_SCRIPT}\n ${DBCSR_OPENCL_PARAMS}\n OUTPUT ${CMAKE_CURRENT_SOURCE_DIR}/${DBCSR_OPENCL_KHEADER}\n COMMENT ${DBCSR_OPENCL_SCRIPT_MSG})\n\nadd_custom_target(${DBCSR_OPENCL_KHEADER}\n DEPENDS ${CMAKE_CURRENT_SOURCE_DIR}/${DBCSR_OPENCL_KHEADER})\nadd_dependencies(dbcsr ${DBCSR_OPENCL_KHEADER})\n\ntarget_include_directories(dbcsr PRIVATE ${CMAKE_CURRENT_BINARY_DIR}\n ${CMAKE_CURRENT_SOURCE_DIR})\n" }, { "path": "src/acc/opencl/smm/PACKAGE", "content": "{\n\"description\": \"OpenCL-accelerated library for small matrix multiplications\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"..\", \"../..\"]\n}\n" }, { "path": "src/acc/opencl/smm/README-autotune.md", "content": "# Auto Tuning\n\nAuto tuning code for performance is a practical way to find the \"best\" setting for parameterized code (e.g., GPU kernels). Introducing effective parameters is a prerequisite, and exploring the (potentially) high-dimensional parameter space in an efficient way is an art. It is desirable to have reasonable defaults even without auto-tuning the parameters. It would be even better to avoid auto-tuning if best performance was possible right away.\n\nFor the OpenCL based LIBSMM, a variety of parameters are explored using [OpenTuner](http://opentuner.org/). The script [tune_multiply.py](https://github.com/cp2k/dbcsr/blob/develop/src/acc/opencl/smm/tune_multiply.py) (or tune_multiply.sh) leverages the `acc_bench` by parsing console output (timing, data type, etc.). This way, the tuning is implemented without being intermingled with the subject being tuned. The \"communication\" between the tuner and the executable is solely based on environment variables.\n\n**NOTE**: If `tune_multiply.py` (or `tune_multiply.sh`) is called with an environment variable already set, the respective parameter (e.g., `OPENCL_LIBSMM_SMM_BM` or `OPENCL_LIBSMM_SMM_BN`) is considered fixed (and not tuned automatically). This way, the parameter space is reduced in size and effort can be directed more intensely towards the remaining parameters.\n\nTo toggle the benchmarks between tuning single precision (SP) and double precision (DP), `make ELEM_TYPE=float` can be used when building the benchmark driver (`ELEM_TYPE` can be also directly edited in [acc_bench.c](https://github.com/cp2k/dbcsr/blob/develop/src/acc/acc_bench.c)). Auto-tuned parameters for SP and DP can be embedded into the same final application and are considered correctly at runtime.\n\nTo build the benchmarks in double precision (`ELEM_TYPE=double` is default):\n\n```bash\ncd src/acc/opencl\nmake\n```\n\nTo build the benchmarks in single precision (SP):\n\n```bash\ncd src/acc/opencl\nmake ELEM_TYPE=float\n```\n\nTo auto-tune, please install the Python `wheel` and `opentuner` packages:\n\n```bash\ncd src/acc/opencl/smm\npip install -r requirements.txt\n```\n\nThe OpenTuner script supports several command line arguments (`tune_multiply.py --help`). For example, `--stop-after=300` can be of interest to finish in five minutes (without limit, OpenTuner decides when the auto-tuning process is finished). A single kernel can be selected by M, N, and K parameters (GEMM), e.g., `M=15`, `N=5`, and `K=7`:\n\n```bash\n./tune_multiply.py 13x5x7\n```\n\n**NOTE**: If multiple different kernels are tuned using `tune_multiply.py`, it is advisable to delete the `opentuner.db` directory prior to tuning a different kernel since otherwise auto-tuning is potentially (mis-)guided by information which was collected for a different kernel (`tune_multiply.sh` does this automatically).\n\nThe OpenTuner script implements multiple objectives (\"cost\"), primarily \"accuracy\" (maximized) and a secondary objective \"size\" (minimized). The former represents the achieved performance (GFLOPS/s) while the latter represents an artificial kernel requirement (just to prefer one parameter set over another in case of similar performance). The console output looks like (\"accuracy\" denotes performance in GFLOPS/s):\n\n```text\n[ 15s] INFO opentuner.search.plugin.DisplayPlugin: tests=8, best {'BS': 32, 'BM': 6, 'BN': 1}, cost accuracy=28.80000000, size=1.0, found by UniformGreedyMutation\n[ 27s] INFO opentuner.search.plugin.DisplayPlugin: tests=19, best {'BS': 48, 'BM': 8, 'BN': 1}, cost accuracy=32.20000000, size=1.0, found by UniformGreedyMutation\n[ 40s] INFO opentuner.search.plugin.DisplayPlugin: tests=31, best {'BS': 48, 'BM': 8, 'BN': 1}, cost accuracy=32.20000000, size=1.0, found by UniformGreedyMutation\n[ 54s] INFO opentuner.search.plugin.DisplayPlugin: tests=43, best {'BS': 48, 'BM': 8, 'BN': 1}, cost accuracy=32.20000000, size=1.0, found by UniformGreedyMutation\n[ 67s] INFO opentuner.search.plugin.DisplayPlugin: tests=53, best {'BS': 48, 'BM': 8, 'BN': 1}, cost accuracy=32.20000000, size=1.0, found by UniformGreedyMutation\n```\n\nThe script finally writes a JSON-file with a filename like `tune_multiply-float-12x12x12-s15-60gflops.json` which is encoding the benchmark (\"multiply\"), the precision (\"float\"), the kernel (\"12x12x12\"), the number of bits necessary to represent the size of the problem, i.e., log2 of the problem-size (\"s15\"), and the achieved performance (\"60gflops\"). The script handles SIGINT (like Ctrl-C), and output is still written despite of abnormally terminating (can be abused to tune interactively). Tuning starts from an internal default that is supposed to match LIBSMM's internal default parameters. However, tuning can be (re-)started with specific parameters (e.g., `-bs 64`, `-bm 13`, `-bn 1` for `OPENCL_LIBSMM_SMM_BS`, `OPENCL_LIBSMM_SMM_BM`, and `OPENCL_LIBSMM_SMM_BN` respectively), or partially fixed for a subset of parameters.\n\n**NOTE**: The `acc_bench` executable is potentially started many times when auto-tuning parameters, therefore it is advisable to keep the state of the GPU driver stack persistent (if the setup would otherwise unload the driver configuration), e.g., `nvidia-smi -pm ENABLED`. This can happen in cases where the GPU is only for compute and not used for graphics (no X-Window system, e.g., in case of a \"headless\" system). Time needed for tuning parameters is not only impacted by accessing and readying the device, but also by the time needed to compile a kernel at runtime aka Just-In-Time (JIT).\n" }, { "path": "src/acc/opencl/smm/README-bulktune.md", "content": "# Optimized Kernels\n\nOptimized kernel parameters are stored in JSON-files and are automatically summarized into a CSV-file. Further and beyond auto-tuning kernels, [tune_multiply.py](https://github.com/cp2k/dbcsr/blob/develop/src/acc/opencl/smm/tune_multiply.py) can be used to perform basic operations on collected data: explicitly merging all JSON-files into a CSV-file (`tune_multiply.py -m`), and updating the device name in all JSON-files according to current driver version (`tune_multiply.py -u`).\n\nCollected or auto-tuned parameters achieved with single precision (SP), double precision (DP), or from different devices can be safely combined. Practically, `acc_opencl.sh` transforms the CSV-file into source code compiled into the final binary, which is independent of `OPENCL_LIBSMM_SMM_PARAMS` accepting a CSV-file (path/filename). However, `acc_opencl.sh` currently limits the origin of parameters to a single device. Care must still be taken to not summarize unrelated results, e.g., after (major) source code changes. The CSV-file is automatically incorporated into LIBSMM by the next clean (re-)build. The format of the CSV-file is assumed to contain column names in the first row (header).\n\nDifferent problem sizes (like \"s15\"; see above) are not represented individually, but are instead collected into a maximum value. In turn, this means tuning for a non-default problem-size must be manually kept pure since the result achieved with a larger problem may dominate (maximum value).\n\n```bash\ncd src/acc/opencl\nmake realclean\nmake\n```\n\nThis way auto-tuned kernels just work and can be of course exercised using the afore mentioned benchmark:\n\n```bash\ncd src/acc\n./acc_bench 5 30000 13 5 7\n```\n\nTuned parameters can be also disabled at runtime like:\n\n```bash\ncd src/acc\nOPENCL_LIBSMM_SMM_PARAMS=0 ./acc_bench 5 30000 13 5 7\n```\n\nBy supplying a CSV-file at runtime, embedded parameters and defaults are overriden, and given parameters are applied even if the current device is different from what would match the given parameters:\n\n```bash\ncd src/acc\nOPENCL_LIBSMM_SMM_PARAMS=opencl/smm/tune_multiply.csv ./acc_bench 5 30000 13 5 7\n```\n\nTo tune multiple kernels in a convenient fashion, a triplet specification can be supplied to the [tune_multiply.sh](https://github.com/cp2k/dbcsr/blob/develop/src/acc/opencl/smm/tune_multiply.sh) wrapper script. This script estimates the total runtime for auto-tuning kernels, cleans up intermediate results (`opentuner.db`), allows to specify triplets, and splits work to auto-tune in parallel.\n\nTriplets are used to conveniently describe multiple kernels. A triplet specification consists of comma-separated groups of (M,N,K)-extents, i.e., matrix shapes according to GEMM. For example:\n\n```text\n4 10 15, 6 7 8, 23\n```\n\nThis triplet specification expands to 55 kernels using the Cartesian product within each group and concatenating the result of such expanded groups followed by removing duplicate triplets. Further, the wrapper script allows to limit the time spent for tuning a single kernel and to partition the number of kernels to be tuned, e.g., among a cluster of eight systems (below the first partition out of eight would be processed with five minutes per kernel and about 35 minutes in total per partition).\n\n```bash\ncd src/acc/opencl/smm\n./tune_multiply.sh -t 300 -j 8 -i 1 4 10 15, 6 7 8, 23\n```\n\nThe script `tune_multiply.sh` is tuning 1266 kernels by default (`./tune_multiply.sh -t 300 -j 8 -i 1` takes approximately 13 hours per part). If the process is interrupted earlier (per SIGINT or Ctrl-C), the execution terminates for all requested kernels (triplet specification) unless `--continue` is given (or `-c`, or an environment variable `CONTINUE=1`).\n\nFor convenience, it is possible to \"update\" an existing set of JSON-files (path can be given with `-p`), i.e., to parse the (M,N,K)-triplet denoted by the JSON filename and to re-tune with an almost unconstrained tuning-level (`-a 1` by default) as well as a limited duration (160 seconds per kernel by default).\n\n```bash\ncd src/acc/opencl\nmake realclean\necho \"Rebuild and embed smm/params/tune_multiply_P100.csv\"\nmake WITH_GPU=P100\n\necho \"Retune original parameters\"\nsmm/tune_multiply.sh -p smm/params/p100 -u\n\necho \"Override original parameters\"\ncp tune_multiply.csv smm/params/tune_multiply_P100.csv\n```\n\nTuning kernels further is only sensible if the previously tuned parameters are embedded into the binary (such that the process does not start from scratch). Retuned parameters are captured with JSON-files as usual.\n\n# Advanced Tuning\n\nTo utilize multiple devices per system and to accelerate tuning kernels, `tune_multiply.py` comes with built-in support for running under MPI (SPMD execution model). The basic assumption is to spawn one process per device usually with different kernels tuned per device (SPMD). Of course, tuning the same kernels in parallel on multiple devices is possible but it is a waste of resources. Tuning on multiple devices per system can be also more realistic given the common power budget of all devices and less room for an increased operating frequency per device (Turbo clock speed).\n\nFor example, a single dual-socket system with two PVC cards (modules) per socket exposes eight GPU devices (two GPU stacks or tiles per card). Then 350 kernels can be tuned in less than 2 1/2 hours with a duration of 200 seconds for tuning each kernel.\n\n```bash\nMAXTIME=200 NPARTS=8 UPDATE=1 JSONDIR=params/pvc mpirun \\\n ./tune_multiply.sh -i 1 : \\\n ./tune_multiply.sh -i 2 : \\\n ./tune_multiply.sh -i 3 : \\\n ./tune_multiply.sh -i 4 : \\\n ./tune_multiply.sh -i 5 : \\\n ./tune_multiply.sh -i 6 : \\\n ./tune_multiply.sh -i 7 : \\\n ./tune_multiply.sh -i 8 \\\n>out.log 2>&1\n```\n\n**NOTE**: The above shown example prefers environment variables over command-line options that would be common to the eight launches of `tune_multiply.sh`.\n" }, { "path": "src/acc/opencl/smm/README.md", "content": "# LIBSMM\n\nThe LIBSMM library implements the [ACC LIBSMM interface](https://github.com/cp2k/dbcsr/blob/develop/src/acc/acc_libsmm.h), and depends on the [OpenCL backend](https://github.com/cp2k/dbcsr/blob/develop/src/acc/opencl/README.md).\n\nCompile-time settings are (implicitly) documented and can be adjusted by editing [opencl_libsmm.h](https://github.com/cp2k/dbcsr/blob/develop/src/acc/opencl/smm/opencl_libsmm.h), e.g., `OPENCL_LIBSMM_VALIDATE` is disabled by default but can be enabled for debug purpose. The `OPENCL_LIBSMM_VALIDATE` compile-time setting enables side-by-side validation of matrix transpose and multiply operations between device and host. For example, running DBCSR's unit tests with `OPENCL_LIBSMM_VALIDATE` enabled produces console output that allows to pin-point a kernel which misses validation. Runtime settings are made by the means of environment variables. The OpenCL backend provides `acc_getenv.sh` to list all occurrences of `getenv` categorized into \"OpenCL Backend environment variables\" and \"OpenCL LIBSMM environment variables\".\n\nThere are two categories for the two domains in LIBSMM, i.e., matrix transpose (`OPENCL_LIBSMM_TRANS_*`) and matrix multiplication (`OPENCL_LIBSMM_SMM_*`). For transposing matrices, the settings are:\n\n* `OPENCL_LIBSMM_TRANS_BUILDOPTS`: character string with build options (compile and link) supplied to the OpenCL runtime compiler.\n* `OPENCL_LIBSMM_TRANS_INPLACE`: Boolean value (zero or non-zero integer) for in-place matrix transpose (no local memory needed).\n* `OPENCL_LIBSMM_TRANS_BM`: non-negative integer number (less/equal than the M-extent) denoting the blocksize in M-direction.\n\nThe most common settings for multiplying matrices are:\n\n* `OPENCL_LIBSMM_SMM_BUILDOPTS`: character string with build options (compile and link) supplied to the OpenCL runtime compiler.\n* `OPENCL_LIBSMM_SMM_PARAMS`: Disable embedded/auto-tuned parameters (`0`), or load CSV-file (e.g., `path/to/tune_multiply.csv`).\n* `OPENCL_LIBSMM_SMM_BS`: non-negative integer number denoting the intra-kernel (mini-)batchsize mainly used to amortize atomic updates of data in global/main memory. The remainder with respect to the \"stacksize\" is handled by the kernel.\n* `OPENCL_LIBSMM_SMM_BM`: non-negative integer number (less/equal than the M-extent) denoting the blocksize in M-direction.\n* `OPENCL_LIBSMM_SMM_BN`: non-negative integer number (less/equal than the N-extent) denoting the blocksize in N-direction.\n* `OPENCL_LIBSMM_SMM_AP`: specifies access to array of parameters (batch or \"stack\").\n* `OPENCL_LIBSMM_SMM_AA`: specifies access to array of A-matrices.\n* `OPENCL_LIBSMM_SMM_AB`: specifies access to array of B-matrices.\n* `OPENCL_LIBSMM_SMM_AC`: specifies access to array of C-matrices.\n\nThe full list of tunable parameters and some explanation can be received with `smm/tune_multiply.py --help`, i.e., short description, default settings, and accepted values.\n\n**NOTE**: LIBSMM's tunable runtime settings can be non-smooth like producing distinct code-paths, e.g., `OPENCL_LIBSMM_SMM_BS=1` vs. `OPENCL_LIBSMM_SMM_BS=2`.\n\n# Auto Tuning\n\nTo tune and optimize a kernel and generating kernel parameters, please refer to the [Auto Tuning](https://cp2k.github.io/dbcsr/develop/page/3-developer-guide/3-programming/2-accelerator-backend/3-libsmm_ocl/1-autotune.html) guide. To update or retune an entire set of kernels (optimized parameters), please refer to the [Bulk Tuning](https://cp2k.github.io/dbcsr/develop/page/3-developer-guide/3-programming/2-accelerator-backend/3-libsmm_ocl/2-bulktune.html) guide.\n" }, { "path": "src/acc/opencl/smm/kernels/multiply.cl", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#include \"../../common/opencl_atomics.h\"\n\n#if !defined(AL) || (SM != SN) || (SM != BM) || (SN != SK) || (1 == BS)\n# define ADX(M, K) adata[IDT(M, K, SM, SK) + a0] /* transposed */\n# define BDX(K, N) bdata[IDX(K, N, SK, SN) + b0] /* linear */\n# define CDX(M, N) cdata[IDT(M, N, SM, SN) + c0] /* transposed */\n#else\n# define ADX(M, K) adata[IDX(M, K, SM, SK) + a0] /* linear */\n# define BDX(K, N) bdata[IDT(K, N, SK, SN) + b0] /* transposed */\n# define CDX(M, N) cdata[IDX(M, N, SM, SN) + c0] /* linear */\n#endif\n\n#if defined(SLM_A)\n# if (1 != BK || BM < SM || 1 != BN)\n# define AMK(M, K) amk[M][K]\n# else\n# define AMK(M, K) amk[M]\n# endif\n#elif defined(REG_A)\n# if (1 != BK)\n# define AMK(M, K) amk[K]\n# else\n# define AMK(M, K) amk[M]\n# endif\n#else\n# define AMK(M, K) ADX(M, K)\n#endif\n#if defined(SLM_B)\n# define BNK(N, K) bnk[N][K]\n#elif defined(REG_B)\n# if (BM < SM && 1 != BN)\n# define BNK(N, K) bnk[N][K]\n# else\n# define BNK(N, K) bnk[K]\n# endif\n#else\n# define BNK(N, K) BDX(K, N)\n#endif\n#if (1 < BS) && (defined(SLM_C) || (BM < SM && 1 != BN))\n# define CNM(N, M) cnm[N][M]\n#else\n# define CNM(N, M) cnm[M]\n#endif\n\n#if !defined(SINT) /* covers matrix shape */\n# define SINT signed char\n#endif\n#if !defined(REPEAT)\n# define REPEAT 1\n#endif\n\n#define NBM DIVUP(SM, BM)\n#define NBN DIVUP(SN, BN)\n#define WRK (NBM * NBN)\n\n#define UM (SM / BK)\n#define VM (SM % UM)\n\n\n__attribute__((reqd_work_group_size(WG, 1, 1)))\n#if (0 < SG)\n__attribute__((intel_reqd_sub_group_size(SG)))\n#endif\nkernel void\nFN(global T* restrict cdata, CONSTANT const T* restrict adata, CONSTANT const T* restrict bdata,\n CONSTANT const int* restrict param_stack,\n#if (1 < BS)\n int param_format, int stack_size, int bs) {\n const int gid = get_group_id(0), idx = get_local_id(0);\n#else\n int param_format) {\n const int gid = get_group_id(0), idx = get_local_id(0), bs = 1;\n#endif\n const SINT pzero = (0 == param_format ? 1 : 0), pnext = (0 == param_format ? 3 : 6);\n /* param_stack/indexes can be one-based (Fortran) depending on param_format */\n CONSTANT const int* restrict param_base = param_stack + gid * (pnext * bs) + (0 == param_format ? 0 : 3);\n#if defined(SLM_P) && (1 < BS)\n local int params[3 * BS]; /* bs <= BS */\n#else\n CONSTANT const int* restrict params = param_base;\n#endif\n#if defined(SLM_A)\n# if (1 != BK || BM < SM || 1 != BN)\n local T amk[SM][SK + SLM_A - 1];\n# else\n local T amk[SM];\n# endif\n#elif defined(REG_A) && (1 != BK)\n T amk[SK];\n#endif\n#if defined(SLM_B)\n local T bnk[SN][SK + SLM_B - 1]; /* tile */\n#endif\n#if (BM < SM || 1 != BN)\n# if defined(REG_A) && !defined(SLM_A) && (1 == BK)\n T amk[BM];\n# endif\n# if defined(REG_B) && !defined(SLM_B)\n# if (1 != BN)\n T bnk[BN][SK]; /* rows */\n# else\n T bnk[SK]; /* row */\n# endif\n# endif\n# if !defined(SLM_C) && (1 < BS)\n# if (1 != BN)\n T cnm[BN][BM]; /* general tile */\n# else\n T cnm[BM]; /* column-block */\n# endif\n# endif\n const int m0 = (idx / NBN) * BM, n0 = (idx % NBN) * BN;\n#else\n# if defined(REG_A) && !defined(SLM_A) && (1 == BK)\n T amk[SM];\n# endif\n# if defined(REG_B) && !defined(SLM_B)\n T bnk[SK]; /* row */\n# endif\n# if !defined(SLM_C) && (1 < BS)\n T cnm[SM]; /* column */\n# endif\n#endif\n#if defined(TRACK_B) && (1 < BS) && defined(REG_B) && !defined(SLM_B)\n int b1 = -1;\n#endif\n\n#if (1 < BS)\n /* intra-kernel mini-batch of SMMs */\n const int batchsize = min(bs, stack_size - bs * gid);\n int c0;\n# if defined(SLM_C)\n local T cnm[SN][SM + SLM_C - 1]; /* tile in SLM */\n UNROLL_AUTO for (SINT n = (SINT)idx; n < SN; n += WG) { UNROLL_FORCE(SM) for (SINT m = 0; m < SM; ++m) cnm[n][m] = ZERO; }\n# elif (BM < SM || 1 != BN)\n# if (1 != BN)\n UNROLL(BN)\n for (SINT bn = 0; bn < BN; ++bn)\n# endif\n {\n UNROLL_FORCE(BM) for (SINT bm = 0; bm < BM; ++bm) CNM(bn, bm) = ZERO;\n }\n# else\n UNROLL_FORCE(SM) for (SINT m = 0; m < SM; ++m) cnm[m] = ZERO;\n# endif\n# if defined(SLM_P)\n UNROLL_AUTO for (int i = idx; i < batchsize; i += WG) {\n UNROLL_FORCE(3) for (int j = 0; j < 3; ++j) { params[3 * i + j] = param_base[pnext * i + j] - pzero; }\n }\n# endif\n# if defined(BARRIER) && (MAX(1, SG) < WG) && (defined(SLM_C) || defined(SLM_P))\n BARRIER(CLK_LOCAL_MEM_FENCE);\n# endif\n# if (WRK < WG)\n if (WRK <= idx) return; /* WRK <= idx */\n# endif\n# if defined(SLM_P)\n c0 = params[2];\n# else\n c0 = params[2] - pzero;\n# endif\n# if defined(BSC) && (1 != BK) && (1 != UM)\n UNROLL_OUTER(REPEAT * BS)\n# else\n UNROLL_FORCE(1)\n# endif\n# if (1 < REPEAT)\n for (int item = 0; item < (REPEAT * batchsize); ++item) {\n const int i = item % batchsize;\n# else\n for (int item = 0; item < (REPEAT * batchsize); ++item) {\n const int i = item;\n# endif\n# if defined(SLM_P)\n const int idxstride = 3, idxbase = 0;\n# else\n const int idxstride = pnext, idxbase = pzero;\n# endif\n const int a0 = params[idxstride * i] - idxbase, b0 = params[idxstride * i + 1] - idxbase;\n const int c1 = ((i + 1) < batchsize ? (params[idxstride * i + idxstride + 2] - idxbase) : -1);\n#else\n# if (WRK < WG)\n if (WRK > idx) /* WRK > idx */\n# endif\n {\n const int a0 = params[0] - pzero, b0 = params[1] - pzero, c0 = params[2] - pzero;\n#endif\n\n#if defined(SLM_A) && (1 != BK || BM < SM || 1 != BN)\n { /* copy or transpose A-matrix into SLM */\n int m = idx;\n# if (WRK != SM)\n UNROLL_AUTO for (; m < SM; m += WRK)\n# endif\n {\n UNROLL_FORCE(SK) for (SINT k = 0; k < SK; ++k) amk[m][k] = ADX(m, k);\n }\n }\n#endif\n\n#if defined(SLM_B)\n { /* copy or transpose B-matrix into SLM */\n int n = idx;\n# if (WRK != SN)\n UNROLL_AUTO for (; n < SN; n += WRK)\n# endif\n {\n UNROLL(SK) for (SINT k = 0; k < SK; ++k) bnk[n][k] = BDX(k, n);\n }\n }\n#elif defined(REG_B)\n# if defined(TRACK_B) && (1 < BS)\n if (b0 != b1) {\n b1 = b0;\n# else\n { /* copy or transpose B-matrix into registers */\n# endif\n UNROLL(SK) for (SINT k = 0; k < SK; ++k) {\n# if (BM < SM || 1 != BN)\n SINT bn = 0;\n# if (1 != BN)\n UNROLL_FORCE(BN)\n for (; bn < BN; ++bn)\n# endif\n {\n# if (SN % BN)\n const int n = min(bn + n0, SN - 1);\n# else\n const int n = bn + n0;\n# endif\n BNK(bn, k) = BDX(k, n);\n }\n# else\n bnk[k] = BDX(k, idx);\n# endif\n }\n }\n#endif\n\n#if defined(BARRIER) && (MAX(1, SG) < WG) && (defined(SLM_B) || ((1 != BK || BM < SM || 1 != BN) && defined(SLM_A)))\n /* finish transpose/copy */\n BARRIER(CLK_LOCAL_MEM_FENCE);\n#endif\n\n#if (BM < SM || 1 != BN)\n { /* calculate result-tile using general tiles */\n# if defined(REG_A) && !defined(SLM_A) && (1 != BK)\n# if (1 == BS)\n T cnm[BN]; /* row */\n UNROLL_FORCE(BN) for (SINT n = 0; n < BN; ++n) cnm[n] = ZERO;\n# endif\n# if (SM % BM)\n UNROLL(BM)\n for (SINT bm = 0, m = m0; bm < BM && m < SM; m = ++bm + m0)\n# else\n UNROLL(BM)\n for (SINT bm = 0, m = m0; bm < BM; m = ++bm + m0)\n# endif\n { /* general BK, A in registers */\n SINT bn = 0;\n UNROLL_FORCE(SK) for (SINT k = 0; k < SK; ++k) amk[k] = ADX(m, k);\n# if (1 != BN)\n UNROLL(BN)\n for (; bn < BN; ++bn)\n# endif\n {\n# if (SN % BN) || (defined(SLM_C) && (1 < BS)) || !defined(REG_B)\n const int n = bn + n0;\n# endif\n# if (SN % BN)\n if (n < SN) /* n < SN */\n# endif\n {\n# if defined(SLM_C) && (1 < BS)\n const int mc = m, nc = n;\n# elif (1 < BS)\n const int mc = bm, nc = bn;\n# else\n const int mc = bn, nc = idx;\n# endif\n UNROLL_FORCE(SK) for (SINT k = 0; k < SK; ++k) {\n CNM(nc, mc) = MAD(AMK(m, k),\n# if defined(REG_B)\n BNK(bn, k),\n# else\n BNK(n, k),\n# endif\n CNM(nc, mc));\n }\n }\n }\n# if (1 == BS)\n bn = 0;\n# if (1 != BN)\n UNROLL(BN)\n for (; bn < BN; ++bn)\n# endif\n {\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(idx, bn))\n# endif\n {\n ACCUMULATE(&CDX(m, bn + n0), CNM(idx, bn));\n CNM(idx, bn) = ZERO; /* reset */\n }\n }\n# endif\n }\n# elif (1 == BK)\n# if (1 == BS)\n T cnm[BM]; /* column-block */\n UNROLL_FORCE(BM) for (SINT m = 0; m < BM; ++m) cnm[m] = ZERO;\n# endif\n UNROLL(SK) for (SINT k = 0; k < SK; ++k) {\n# if (SN % BN) || !defined(REG_B) || (defined(SLM_C) && (1 < BS)) || (1 == BS) || (1 != BN)\n SINT bn = 0;\n# endif\n# if defined(REG_A) && !defined(SLM_A)\n UNROLL_FORCE(BM) for (SINT bm = 0; bm < BM; ++bm) amk[bm] = ADX(bm + m0, k);\n# endif\n# if (1 != BN)\n UNROLL(BN)\n for (; bn < BN; ++bn)\n# endif\n { /* BK=1 */\n# if (SN % BN) || !defined(REG_B) || (defined(SLM_C) && (1 < BS)) || (1 == BS)\n const int n = bn + n0;\n# endif\n# if (SN % BN)\n if (n < SN) /* n < SN */\n# endif\n {\n# if defined(REG_B)\n const T b = BNK(bn, k);\n# else\n const T b = BNK(n, k);\n# endif\n# if (SM % BM)\n UNROLL(BM)\n for (SINT bm = 0, m = m0; bm < BM && m < SM; m = ++bm + m0)\n# else\n UNROLL_FORCE(BM)\n for (SINT bm = 0, m = m0; bm < BM; m = ++bm + m0)\n# endif\n {\n# if defined(REG_A) && !defined(SLM_A)\n const T a = AMK(bm, k);\n# else\n const T a = AMK(m, k);\n# endif\n# if defined(SLM_C) && (1 < BS)\n CNM(n, m) = MAD(a, b, CNM(n, m));\n# else\n CNM(bn, bm) = MAD(a, b, CNM(bn, bm));\n# endif\n }\n# if (1 == BS)\n UNROLL(BM) for (SINT bm = 0; bm < BM; ++bm) {\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(idx, bm))\n# endif\n {\n ACCUMULATE(&CDX(bm + m0, n), CNM(idx, bm));\n CNM(idx, bm) = ZERO; /* reset */\n }\n }\n# endif\n }\n }\n }\n# else /* general BK */\n SINT bn = 0;\n# if (1 != BN)\n UNROLL(BN)\n for (; bn < BN; ++bn)\n# endif\n {\n# if (SN % BN) || !defined(REG_B) || (defined(SLM_C) && (1 < BS)) || (1 == BS)\n const int n = bn + n0;\n# endif\n# if (SN % BN)\n if (n < SN) /* n < SN */\n# endif\n { /* general BK */\n# if (1 == BS)\n T cnm[BM]; /* column-block */\n UNROLL_FORCE(BM) for (SINT m = 0; m < BM; ++m) cnm[m] = ZERO;\n# endif\n# if (SM % BM)\n UNROLL(BM)\n for (SINT bm = 0, m = m0; bm < BM && m < SM; m = ++bm + m0)\n# else\n UNROLL(BM)\n for (SINT bm = 0, m = m0; bm < BM; m = ++bm + m0)\n# endif\n {\n# if defined(SLM_C) && (1 < BS)\n# if (1 < BS) && (defined(SLM_C) || (BM < SM && 1 != BN))\n const int mc = m, nc = n;\n# else\n const int mc = m;\n# endif\n# else\n# if (1 < BS) && (defined(SLM_C) || (BM < SM && 1 != BN))\n const int mc = bm, nc = bn;\n# else\n const int mc = bm;\n# endif\n# endif\n# if defined(REG_B)\n const int nb = bn;\n# else\n const int nb = n;\n# endif\n UNROLL_FORCE(SK) for (SINT k = 0; k < SK; ++k) CNM(nc, mc) = MAD(AMK(m, k), BNK(nb, k), CNM(nc, mc));\n }\n# if (1 == BS)\n UNROLL(BM) for (SINT bm = 0; bm < BM; ++bm) {\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(idx, bm))\n# endif\n {\n ACCUMULATE(&CDX(bm + m0, n), CNM(idx, bm));\n CNM(idx, bm) = ZERO; /* reset */\n }\n }\n# endif\n }\n }\n# endif\n }\n#else /* BM == SM && 1 == BN */\n { /* calculate result-tile using columns */\n# if (1 == BS)\n T cnm[UM]; /* column-block */\n UNROLL_FORCE(UM) for (SINT m = 0; m < UM; ++m) cnm[m] = ZERO;\n# endif\n# if (1 == BK)\n UNROLL_OUTER(SK) for (SINT k = 0; k < SK; ++k) {\n const T b = BNK(idx, k);\n# if defined(SLM_A)\n# if (WRK != SM)\n UNROLL_AUTO for (SINT m = (SINT)idx; m < SM; m += WRK) amk[m] = ADX(m, k);\n# else\n amk[idx] = ADX(idx, k);\n# endif\n# elif defined(REG_A)\n UNROLL_FORCE(SM) for (SINT m = 0; m < SM; ++m) amk[m] = ADX(m, k);\n# endif\n# if defined(BARRIER) && (MAX(1, SG) < WG) && defined(SLM_A)\n BARRIER(CLK_LOCAL_MEM_FENCE);\n# endif\n# if defined(ACC_OPENCL_VERSION) && (200 /*2.0*/ <= ACC_OPENCL_VERSION) && (!defined(GPU) || (0 != GPU)) && !defined(SLM_A) && \\\n !defined(REG_A) && (WRK == SM) && (SM <= SG || SM <= WG) /* use ACC_OPENCL_VERSION rather than ACC_OPENCL_C_VERSION */\n const T a = AMK(idx, k);\n UNROLL_FORCE(SM) for (SINT m = 0; m < SM; ++m) {\n# if (SM <= SG)\n CNM(idx, m) = MAD(sub_group_broadcast(a, m), b, CNM(idx, m)); /* size of subgroup is sufficient */\n# else\n CNM(idx, m) = MAD(work_group_broadcast(a, m), b, CNM(idx, m)); /* size of workgroup is sufficient */\n# endif\n }\n# else\n UNROLL_FORCE(SM) for (SINT m = 0; m < SM; ++m) CNM(idx, m) = MAD(AMK(m, k), b, CNM(idx, m)); /* fallback */\n# endif\n# if defined(BARRIER) && (MAX(1, SG) < WG) && defined(SLM_A)\n BARRIER(CLK_LOCAL_MEM_FENCE);\n# endif\n }\n# if (1 == BS)\n UNROLL(SM) for (SINT m = 0; m < SM; ++m) {\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(idx, m))\n# endif\n {\n ACCUMULATE(&CDX(m, idx), CNM(idx, m));\n CNM(idx, m) = ZERO; /* reset */\n }\n }\n# endif\n# else\n SINT m = 0, u;\n# if (1 == UM)\n UNROLL_OUTER(SM)\n# else\n UNROLL_AUTO\n# endif\n for (; m < (SM - UM + 1); m += UM) {\n u = 0;\n# if (1 < UM)\n UNROLL(UM)\n for (; u < UM; ++u)\n# endif\n {\n const int um = u + m;\n# if (1 < BS)\n const int vm = um;\n# else\n const int vm = u;\n# endif\n# if defined(REG_A) && !defined(SLM_A)\n UNROLL_FORCE(SK) for (SINT k = 0; k < SK; ++k) amk[k] = ADX(um, k);\n# endif\n UNROLL_FORCE(SK) for (SINT k = 0; k < SK; ++k) { CNM(idx, vm) = MAD(AMK(um, k), BNK(idx, k), CNM(idx, vm)); }\n }\n# if (1 == BS)\n u = 0;\n# if (1 < UM)\n UNROLL(UM)\n for (; u < UM; ++u)\n# endif\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(idx, u))\n# endif\n {\n ACCUMULATE(&CDX(u + m, idx), CNM(idx, u));\n CNM(idx, u) = ZERO; /* reset */\n }\n# endif\n }\n# if (0 < VM)\n /* calculate remainder */\n u = 0;\n# if (1 < VM)\n UNROLL(VM)\n for (; u < VM; ++u)\n# endif\n {\n const int um = u + m;\n# if (1 < BS)\n const int vm = um;\n# else\n const int vm = u;\n# endif\n# if defined(REG_A) && !defined(SLM_A)\n UNROLL_FORCE(SK) for (SINT k = 0; k < SK; ++k) amk[k] = ADX(um, k);\n# endif\n UNROLL_FORCE(SK) for (SINT k = 0; k < SK; ++k) { CNM(idx, vm) = MAD(AMK(um, k), BNK(idx, k), CNM(idx, vm)); }\n }\n# if (1 == BS)\n u = 0;\n# if (1 < VM)\n UNROLL(VM)\n for (; u < VM; ++u)\n# endif\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(idx, u))\n# endif\n {\n ACCUMULATE(&CDX(u + m, idx), CNM(idx, u));\n CNM(idx, u) = ZERO; /* reset */\n }\n# endif\n# endif\n# endif\n }\n#endif\n\n#if (1 < BS)\n# if defined(TRACK_C)\n if (c0 != c1)\n# endif\n# if (BM < SM || 1 != BN)\n { /* atomically commit C-tile to global memory */\n SINT bn = 0;\n# if (1 != BN)\n UNROLL(BN)\n for (; bn < BN; ++bn)\n# endif\n {\n const int n = bn + n0;\n# if (SN % BN)\n if (n < SN) /* n < SN */\n# endif\n {\n# if (SM % BM)\n UNROLL(BM)\n for (SINT bm = 0, m = m0; bm < BM && m < SM; m = ++bm + m0)\n# else\n UNROLL_FORCE(BM)\n for (SINT bm = 0, m = m0; bm < BM; m = ++bm + m0)\n# endif\n {\n# if defined(SLM_C)\n# if (1 < BS) && (defined(SLM_C) || (BM < SM && 1 != BN))\n const int mc = m, nc = n;\n# else\n const int mc = m;\n# endif\n# else\n# if (1 < BS) && (defined(SLM_C) || (BM < SM && 1 != BN))\n const int mc = bm, nc = bn;\n# else\n const int mc = bm;\n# endif\n# endif\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(nc, mc))\n# endif\n {\n ACCUMULATE(&CDX(m, n), CNM(nc, mc));\n CNM(nc, mc) = ZERO; /* reset */\n }\n }\n }\n }\n# else\n { /* atomically commit C-column to global memory */\n SINT m = 0;\n# if defined(ATOMIC_ADD2_GLOBAL)\n UNROLL_AUTO for (; m < (SM - 1); m += 2) {\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(idx, m) && ZERO != CNM(idx, m + 1))\n# endif\n {\n const float2 r2 = (float2)(CNM(idx, m), CNM(idx, m + 1));\n ATOMIC_ADD2_GLOBAL(&CDX(m, idx), r2);\n CNM(idx, m) = CNM(idx, m + 1) = ZERO; /* reset */\n }\n }\n# else\n UNROLL(SM)\n# endif\n# if !defined(ATOMIC_ADD2_GLOBAL) || (SM & 1)\n for (; m < SM; ++m) {\n# if defined(ATOMIC_INC_NZ)\n if (ZERO != CNM(idx, m))\n# endif\n {\n ACCUMULATE(&CDX(m, idx), CNM(idx, m));\n CNM(idx, m) = ZERO; /* reset */\n }\n }\n# endif\n# endif\n /* next iteration */\n c0 = c1;\n }\n#endif\n#if defined(BARRIER) && (MAX(1, SG) < WG) && defined(SLM_A) && (BM <= SM || 1 != BN || 1 != BK)\n BARRIER(CLK_LOCAL_MEM_FENCE);\n#endif\n }\n}\n" }, { "path": "src/acc/opencl/smm/kernels/transpose.cl", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n\n__attribute__((reqd_work_group_size(WG, 1, 1))) kernel void FN(\n int trs_offset, CONSTANT const int* restrict trs_stack, global T* restrict matrix) {\n /* offset in the transpose-stack that this block ID should handle */\n const int offset = trs_stack[trs_offset + get_group_id(0)];\n /* matrix according to the index (transpose-stack) */\n global T* const restrict mat = matrix + offset;\n const int idx = get_local_id(0);\n#if (SM != SN) || (0 == INPLACE)\n /* local memory buffer */\n local T buf[SM][SN];\n#endif\n#if (WG == SM)\n const int m = idx;\n# if (SM != SN) || (0 == INPLACE)\n /* copy matrix elements into local buffer */\n for (int n = 0; n < SN; ++n) buf[m][n] = mat[SM * n + m];\n barrier(CLK_LOCAL_MEM_FENCE);\n /* overwrite matrix elements (gather) */\n for (int n = 0; n < SN; ++n) mat[SN * m + n] = buf[m][n];\n# else\n for (int n = 0; n < m; ++n) {\n const int i = SM * n + m;\n const int j = SN * m + n;\n const T tmp = mat[i];\n mat[i] = mat[j];\n mat[j] = tmp;\n }\n# endif\n#else\n T prv[SN]; /* private buffer */\n# if (SM != SN) || (0 == INPLACE)\n /* copy matrix elements into local buffer */\n for (int m = idx; m < SM; m += WG) {\n for (int n = 0; n < SN; ++n) buf[m][n] = mat[SM * n + m];\n }\n barrier(CLK_LOCAL_MEM_FENCE);\n# endif\n for (int m = idx; m < SM; m += WG) {\n# if (SM != SN) || (0 == INPLACE)\n for (int n = 0; n < SN; ++n) prv[n] = buf[m][n];\n /* overwrite matrix elements (gather) */\n for (int n = 0; n < SN; ++n) mat[SN * m + n] = prv[n];\n# else\n for (int n = 0; n < SN; ++n) prv[n] = mat[SM * n + m];\n for (int n = 0; n < m; ++n) {\n const int i = SM * n + m;\n const int j = SN * m + n;\n mat[i] = mat[j];\n mat[j] = prv[n];\n }\n# endif\n }\n#endif\n}\n" }, { "path": "src/acc/opencl/smm/opencl_libsmm.c", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#if defined(__OPENCL)\n# include \"opencl_libsmm.h\"\n/* Header opencl_kernels.h is generated by the build system using acc_opencl.sh */\n# include \"opencl_kernels.h\"\n# include \"../../acc_bench.h\"\n# include \n# if !defined(OPENCL_KERNELS_SOURCE_TRANSPOSE)\n# error \"OpenCL transpose-kernel code not found!\"\n# endif\n# if !defined(OPENCL_KERNELS_SOURCE_MULTIPLY)\n# error \"OpenCL SMM-kernel code not found!\"\n# endif\n# if LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n# define OPENCL_LIBSMM_DESCINIT(BLOB, PREC, M, N, K, LDA, LDB, LDC, FLAGS, PREFETCH) \\\n libxsmm_gemm_descriptor_init(BLOB, PREC, PREC, PREC, PREC, M, N, K, LDA, LDB, LDC, FLAGS, PREFETCH)\n# else\n# define OPENCL_LIBSMM_DESCINIT(BLOB, PREC, M, N, K, LDA, LDB, LDC, FLAGS, PREFETCH) \\\n libxsmm_gemm_descriptor_dinit(BLOB, PREC, M, N, K, LDA, LDB, LDC, 1.0, 1.0, FLAGS, PREFETCH)\n# endif\n# if !defined(OPENCL_LIBSMM_KERNELNAME_TRANS)\n# define OPENCL_LIBSMM_KERNELNAME_TRANS \"trans\"\n# endif\n# if !defined(OPENCL_LIBSMM_KERNELNAME_SMM)\n# define OPENCL_LIBSMM_KERNELNAME_SMM \"smm\"\n# endif\n# if !defined(OPENCL_LIBSMM_NLOCKS_TRANS)\n# define OPENCL_LIBSMM_NLOCKS_TRANS 16\n# endif\n# if !defined(OPENCL_LIBSMM_NLOCKS_SMM)\n# define OPENCL_LIBSMM_NLOCKS_SMM 16\n# endif\n# if !defined(OPENCL_LIBSMM_TODO) && 0\n# define OPENCL_LIBSMM_TODO\n# endif\n/* default: decompose C-matrix into column-vectors (BMxBN) */\n# if !defined(OPENCL_LIBSMM_DEFAULT_BM)\n# define OPENCL_LIBSMM_DEFAULT_BM INT_MAX\n# endif\n# if !defined(OPENCL_LIBSMM_DEFAULT_BN)\n# define OPENCL_LIBSMM_DEFAULT_BN 1\n# endif\n# if !defined(OPENCL_LIBSMM_DEFAULT_BK)\n# if 1\n# define OPENCL_LIBSMM_DEFAULT_BK INT_MAX\n# else\n# define OPENCL_LIBSMM_DEFAULT_BK 1\n# endif\n# endif\n# if !defined(OPENCL_LIBSMM_DEFAULT_BS)\n# define OPENCL_LIBSMM_DEFAULT_BS 8\n# endif\n# if !defined(OPENCL_LIBSMM_BS_MIN) && 1\n# define OPENCL_LIBSMM_BS_MIN 32\n# endif\n# if !defined(OPENCL_LIBSMM_SMM_S)\n# define OPENCL_LIBSMM_SMM_S 64\n# endif\n# if !defined(OPENCL_LIBSMM_VMIN)\n# define OPENCL_LIBSMM_VMIN 8\n# endif\n\n/* approximate arithmetic intensity for SMMs like C += Ai * Bi (beta=1) */\n# define OPENCL_LIBSMM_AI(M, N, K, TYPESIZE) ((2.0 * (M) * (N) * (K)) / ((TYPESIZE) * (K) * ((M) + (N))))\n/* determine type-size of a given type-ID */\n# define OPENCL_LIBSMM_TYPESIZE(TYPEID) \\\n (dbcsr_type_real_8 == (TYPEID) ? ((int)sizeof(double)) : (dbcsr_type_real_4 == (TYPEID) ? ((int)sizeof(float)) : 0 /*unknown*/))\n\n# define OPENCL_LIBSMM_TRANSENV(KEY) opencl_libsmm_getenv(\"OPENCL_LIBSMM_TRANS\", KEY)\n# define OPENCL_LIBSMM_SMMENV(KEY) opencl_libsmm_getenv(\"OPENCL_LIBSMM_SMM\", KEY)\n\n\n# if defined(__cplusplus)\nextern \"C\" {\n# endif\n\n/* Pointer to DBM kernel-launch function (optional, can be NULL) */\nopencl_libsmm_acc_dbm_launch_fn_t opencl_libsmm_acc_dbm_launch_fn;\n/* track initialization status of LIBSMM */\nint opencl_libsmm_initialized;\n\n\nint opencl_libsmm_write_trans_params(FILE* stream, int only_key, const opencl_libsmm_transkey_t* key,\n const opencl_libsmm_trans_t* config, const char* delim, const char* begin, const char* close) {\n int result = 0;\n if (NULL != stream) {\n const char d = (NULL == delim ? *ACC_OPENCL_DELIMS : *delim);\n if (NULL != key || 0 == only_key) result += fprintf(stream, \"%c\", NULL == begin ? '{' : *begin);\n if (NULL != config) {\n if (NULL != key) {\n result += fprintf(stream, \"%i%c%i%c%i\", (int)key->type, d, key->m, d, key->n);\n /*if (0 == only_key) result += fprintf(stream, \"%c\", d);*/\n }\n }\n else {\n if (NULL != key) {\n result += fprintf(stream, \"t%cm%cn\", d, d);\n /*if (0 == only_key) result += fprintf(stream, \"%c\", d);*/\n }\n }\n if (NULL != key || 0 == only_key) result += fprintf(stream, \"%c\", NULL == close ? '}' : *close);\n }\n else result = -1;\n assert(0 < result);\n return result;\n}\n\n\nint opencl_libsmm_write_smm_params(FILE* stream, int only_key, const opencl_libsmm_smmkey_t* key, const opencl_libsmm_smm_t* config,\n const char* delim, const char* begin, const char* close) {\n int result = 0;\n if (NULL != stream) {\n const char d = (NULL == delim ? *ACC_OPENCL_DELIMS : *delim);\n if (NULL != key || 0 == only_key) result += fprintf(stream, \"%c\", NULL == begin ? '{' : *begin);\n if (NULL != config) {\n if (NULL != key) {\n result += fprintf(stream, \"%i%c%i%c%i%c%i\", (int)key->type, d, key->m, d, key->n, d, key->k);\n if (0 == only_key) result += fprintf(stream, \"%c \", d);\n }\n if (0 == only_key) {\n result += fprintf(stream, \"%i%c%i%c%i%c%i%c %i%c%i%c %i%c%i%c%i%c %i%c%i%c %i%c%i%c%i%c%i\", config->bs, d, config->bm, d,\n config->bn, d, config->bk, d, config->ws, d, config->wg, d, config->lu, d, config->nz, d, config->al, d, config->tb, d,\n config->tc, d, config->ap, d, config->aa, d, config->ab, d, config->ac);\n if (0 != config->flags) result += fprintf(stream, \"%c %i\", d, config->flags);\n }\n }\n else {\n if (NULL != key) {\n result += fprintf(stream, \"t%cm%cn%ck\", d, d, d);\n if (0 == only_key) result += fprintf(stream, \"%c \", d);\n }\n if (0 == only_key) {\n result += fprintf(\n stream, \"bs%cbm%cbn%cbk%c ws%cwg%c lu%cnz%cal%c tb%ctc%c ap%caa%cab%cac\", d, d, d, d, d, d, d, d, d, d, d, d, d, d);\n }\n }\n if (NULL != key || 0 == only_key) result += fprintf(stream, \"%c\", NULL == close ? '}' : *close);\n }\n else result = -1;\n assert(0 < result);\n return result;\n}\n\n\nint opencl_libsmm_read_smm_params(char* parambuf, opencl_libsmm_smmkey_t* key, opencl_libsmm_smm_t* value,\n opencl_libsmm_perfest_t* perfest, char* device, int* key_ok) {\n const char* const end = parambuf + strlen(parambuf); /* before strtok */\n char* s = strtok(parambuf, ACC_OPENCL_DELIMS);\n const int opt_consumed = (NULL != perfest ? 2 : 0) + (NULL != device ? 1 : 0);\n int result = EXIT_SUCCESS, i = 0, ivalue, consumed = 0, c = 0, max_consumed = opt_consumed + 19;\n double gflops;\n assert(NULL != key && NULL != value);\n LIBXSMM_MEMZERO127(key); /* potentially heterogeneous key-data (alignment gaps) */\n memset(value, 0, sizeof(opencl_libsmm_smm_t));\n for (; NULL != s;\n ++i, s = (c != consumed ? ((s + 1) < end ? strtok((s + 1) + strlen(s), ACC_OPENCL_DELIMS) : NULL) : s), c = consumed)\n {\n switch (i) {\n case 0:\n if (NULL != device && 1 == sscanf(s, \"%[^\" ACC_OPENCL_DELIMS \"]\", device)) {\n ++consumed; /* optional device name */\n }\n break;\n case 1:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n key->type = (libsmm_acc_data_t)ivalue;\n ++consumed;\n }\n break;\n case 2:\n if (1 == sscanf(s, \"%i\", &ivalue) && 0 < ivalue) {\n key->m = ivalue;\n ++consumed;\n }\n break;\n case 3:\n if (1 == sscanf(s, \"%i\", &ivalue) && 0 < ivalue) {\n key->n = ivalue;\n ++consumed;\n }\n break;\n case 4:\n if (1 == sscanf(s, \"%i\", &ivalue) && 0 < ivalue) {\n key->k = ivalue;\n ++consumed;\n }\n break;\n case 5:\n if (NULL != perfest && 1 == sscanf(s, \"%i\", &ivalue)) {\n value->s = ivalue;\n ++consumed; /* optional \"S\" param */\n }\n break;\n case 6:\n if (NULL != perfest && 1 == sscanf(s, \"%lf\", &gflops) && 0 <= gflops) {\n value->gflops = gflops;\n ++consumed; /* optional \"GFLOPS\" param */\n }\n break;\n case 7:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->bs = ivalue;\n ++consumed;\n }\n break;\n case 8:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->bm = ivalue;\n ++consumed;\n }\n break;\n case 9:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->bn = ivalue;\n ++consumed;\n }\n break;\n case 10:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->bk = ivalue;\n ++consumed;\n }\n break;\n case 11:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->ws = ivalue;\n ++consumed;\n }\n break;\n case 12:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->wg = ivalue;\n ++consumed;\n }\n break;\n case 13:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->lu = ivalue;\n ++consumed;\n }\n break;\n case 14:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->nz = ivalue;\n ++consumed;\n }\n break;\n case 15:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->al = ivalue;\n ++consumed;\n }\n break;\n case 16:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->tb = ivalue;\n ++consumed;\n }\n break;\n case 17:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->tc = ivalue;\n ++consumed;\n }\n break;\n case 18:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->ap = ivalue;\n ++consumed;\n }\n break;\n case 19:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->aa = ivalue;\n ++consumed;\n }\n break;\n case 20:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->ab = ivalue;\n ++consumed;\n }\n break;\n case 21:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->ac = ivalue;\n ++consumed;\n }\n break;\n case 22:\n if (1 == sscanf(s, \"%i\", &ivalue)) {\n value->flags = ivalue;\n ++max_consumed;\n ++consumed;\n }\n break;\n default: s = NULL; /* break */\n }\n }\n if (max_consumed == consumed) {\n switch (key->type) {\n case dbcsr_type_real_8:\n if (NULL != perfest && 0 < gflops) {\n const double ratio = gflops / OPENCL_LIBSMM_AI(key->m, key->n, key->k, sizeof(double));\n# if LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n libxsmm_kahan_sum(log(ratio), &perfest->gf_ai_dratio_sumlog, &perfest->gf_ai_dratio_kahan);\n# else\n perfest->gf_ai_dratio_sumlog += log(ratio);\n# endif\n if (perfest->gf_ai_dratio_max < ratio) perfest->gf_ai_dratio_max = ratio;\n ++perfest->dcount;\n }\n break;\n case dbcsr_type_real_4:\n if (NULL != perfest && 0 < gflops) {\n const double ratio = gflops / OPENCL_LIBSMM_AI(key->m, key->n, key->k, sizeof(float));\n# if LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n libxsmm_kahan_sum(log(ratio), &perfest->gf_ai_sratio_sumlog, &perfest->gf_ai_sratio_kahan);\n# else\n perfest->gf_ai_sratio_sumlog += log(ratio);\n# endif\n if (perfest->gf_ai_sratio_max < ratio) perfest->gf_ai_sratio_max = ratio;\n ++perfest->scount;\n }\n break;\n default: result = EXIT_FAILURE;\n }\n }\n else result = EXIT_FAILURE;\n if (NULL != key_ok && 4 <= consumed) *key_ok = 1;\n return result;\n}\n\n\nint libsmm_acc_init(void) {\n# if defined(_OPENMP)\n /* initialization/finalization is not meant to be thread-safe */\n int result = ((0 == omp_in_parallel() || /*main*/ 0 == omp_get_thread_num()) ? EXIT_SUCCESS : EXIT_FAILURE);\n# pragma omp critical(opencl_libsmm_initialized)\n# else\n int result = EXIT_SUCCESS;\n# endif\n ++opencl_libsmm_initialized;\n /* multiple calls to libsmm_acc_init are not considered as an error */\n if (1 == opencl_libsmm_initialized) {\n# if !defined(__DBCSR_ACC)\n /* DBCSR shall call c_dbcsr_acc_init as well as libsmm_acc_init (since both interfaces are used).\n * Also, libsmm_acc_init may privately call c_dbcsr_acc_init (as it depends on the ACC interface).\n * The implementation of c_dbcsr_acc_init should hence be safe against \"over initialization\".\n * However, DBCSR only calls c_dbcsr_acc_init (and expects an implicit libsmm_acc_init).\n */\n if (EXIT_SUCCESS == result) result = c_dbcsr_acc_init();\n# endif\n libxsmm_init();\n if (EXIT_SUCCESS == result) {\n opencl_libsmm_perfest_t perfest;\n char* const env_params = getenv(\"OPENCL_LIBSMM_SMM_PARAMS\"); /* !opencl_libsmm_getenv */\n memset(&perfest, 0, sizeof(perfest));\n if (NULL == env_params || '0' != *env_params) {\n char buffer[ACC_OPENCL_BUFFERSIZE], bufname[ACC_OPENCL_BUFFERSIZE];\n# if defined(OPENCL_KERNELS_DEVICES)\n const int ndevices_params = (int)(sizeof(OPENCL_KERNELS_DEVICES) / sizeof(*OPENCL_KERNELS_DEVICES));\n# endif\n opencl_libsmm_smm_t config;\n opencl_libsmm_smmkey_t key, key_direct;\n int key_direct_skip = 0, ntuned = 0;\n if (NULL != env_params && '\\0' != *env_params) { /* filename */\n FILE* const file = fopen(env_params, \"r\");\n if (NULL != file) {\n /* consume first line, check for device entry, and skip CSV header */\n if (NULL != fgets(buffer, ACC_OPENCL_BUFFERSIZE, file)) {\n char* const device = (NULL != LIBXSMM_STRISTR(buffer, \"device\") ? bufname : NULL);\n opencl_libsmm_perfest_t* const gflops = (NULL != LIBXSMM_STRISTR(buffer, \"gflops\") ? &perfest : NULL);\n while (NULL != fgets(buffer, ACC_OPENCL_BUFFERSIZE, file)) { /* read params from CSV-file */\n if (EXIT_SUCCESS == opencl_libsmm_read_smm_params(buffer, &key, &config, gflops, device, NULL /*key_ok*/)) {\n opencl_libsmm_smm_t* config_init;\n c_dbcsr_acc_opencl_config.devmatch = 0; /* disable device-match */\n key.devuid = 0;\n config_init = (opencl_libsmm_smm_t*)libxsmm_xdispatch(&key, sizeof(key));\n if (NULL == config_init) {\n if (NULL == libxsmm_xregister(&key, sizeof(key), sizeof(config), &config)) {\n result = EXIT_FAILURE;\n break;\n }\n else ++ntuned;\n }\n else if (config_init->gflops < config.gflops) { /* update */\n memcpy(config_init, &config, sizeof(config));\n }\n }\n else {\n if (0 != c_dbcsr_acc_opencl_config.verbosity) {\n fprintf(stderr, \"WARN LIBSMM: failed to load tuned parameters from CSV-file!\\n\");\n }\n break; /* invalid entry */\n }\n }\n }\n else { /* invalid header */\n result = EXIT_FAILURE;\n }\n fclose(file);\n }\n else if (EXIT_SUCCESS == opencl_libsmm_read_smm_params(\n env_params, &key_direct, &config, NULL /*perfest*/, NULL /*device*/, &key_direct_skip))\n { /* try OPENCL_LIBSMM_SMM_PARAMS as string of kernel parameters (not device-specific) */\n assert(0 == key_direct.devuid && 0 != key_direct_skip);\n if (NULL != libxsmm_xregister(&key_direct, sizeof(key_direct), sizeof(config), &config)) {\n c_dbcsr_acc_opencl_config.devmatch = 0; /* disable device-match */\n ntuned = 1;\n }\n else result = EXIT_FAILURE;\n }\n else if (0 == key_direct_skip && 0 != c_dbcsr_acc_opencl_config.verbosity) { /* soft-error */\n fprintf(stderr, \"WARN LIBSMM: failed to open parameter file!\\n\");\n }\n }\n# if defined(OPENCL_KERNELS_PARAMS_SMM) && defined(OPENCL_KERNELS_DEVICES)\n if (EXIT_SUCCESS == result && (0 == ntuned || 0 != key_direct_skip)) {\n const char *line = OPENCL_KERNELS_PARAMS_SMM, *next;\n# if LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n unsigned int default_uid = c_dbcsr_acc_opencl_config.device.uid;\n int active_match = -1;\n if (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_name(\n device_id, bufname, ACC_OPENCL_BUFFERSIZE, NULL /*platform*/, 0 /*platform_maxlen*/, /*cleanup*/ 1))\n { /* determine best-matching parameters based on name of device */\n int i = 0, count = 0;\n double best = 0;\n if (1 >= c_dbcsr_acc_opencl_config.devmatch) {\n c_dbcsr_acc_opencl_device_uid(device_id, bufname, &default_uid);\n }\n for (; i < ndevices_params; ++i) {\n const int n = c_dbcsr_acc_opencl_strimatch(bufname, OPENCL_KERNELS_DEVICES[i], NULL, &count);\n if (0 != n && 0 != count) {\n const double score = (double)n / count;\n unsigned int uid;\n if (best < score ||\n (EXIT_SUCCESS == c_dbcsr_acc_opencl_device_uid(NULL /*device*/, OPENCL_KERNELS_DEVICES[i], &uid) &&\n uid == default_uid))\n {\n active_match = i;\n best = score;\n }\n }\n }\n }\n# endif\n do {\n next = strchr(line, '\\n');\n if (NULL != next && next < (line + ACC_OPENCL_BUFFERSIZE)) {\n const int len = next - line;\n memcpy(buffer, line, len);\n buffer[len] = '\\0';\n if (EXIT_SUCCESS == opencl_libsmm_read_smm_params(/* read params from embedded params */\n buffer, &key, &config, &perfest, bufname /*consume name/id*/, NULL /*key_ok*/))\n {\n if (0 == key_direct_skip || 0 != memcmp(&key_direct, &key, (const char*)&key.k - (const char*)&key)) {\n opencl_libsmm_smm_t* config_init;\n const int i = atoi(bufname);\n if (0 >= ndevices_params || 0 == c_dbcsr_acc_opencl_config.devmatch || 0 > i || ndevices_params <= i ||\n EXIT_SUCCESS != c_dbcsr_acc_opencl_device_uid(NULL /*device*/, OPENCL_KERNELS_DEVICES[i], &key.devuid))\n {\n key.devuid = 0;\n }\n config_init = (opencl_libsmm_smm_t*)libxsmm_xdispatch(&key, sizeof(key)); /* duplicate? */\n if (NULL == config_init) {\n if (NULL != libxsmm_xregister(&key, sizeof(key), sizeof(config), &config)) ++ntuned;\n else { /* failed to register */\n result = EXIT_FAILURE;\n break;\n }\n }\n else if (config_init->gflops < config.gflops) { /* update */\n memcpy(config_init, &config, sizeof(config));\n }\n# if LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n if (active_match == i && 0 != default_uid) {\n key.devuid = default_uid;\n config_init = (opencl_libsmm_smm_t*)libxsmm_xdispatch(&key, sizeof(key));\n if (NULL != config_init || NULL != libxsmm_xregister(&key, sizeof(key), sizeof(config), &config)) {\n static int info = 0;\n if (0 == info && 0 == c_dbcsr_acc_opencl_config.nrank && 0 != c_dbcsr_acc_opencl_config.verbosity &&\n EXIT_SUCCESS == c_dbcsr_acc_opencl_device_name(device_id, bufname, ACC_OPENCL_BUFFERSIZE,\n NULL /*platform*/, 0 /*platform_maxlen*/, /*cleanup*/ 0))\n {\n assert(i < ndevices_params);\n if (default_uid != key.devuid) {\n fprintf(/* print best-matching device */\n stderr, \"INFO ACC/LIBSMM: PARAMS of \\\"%s\\\" used for \\\"%s\\\"\\n\", OPENCL_KERNELS_DEVICES[i], bufname);\n }\n else {\n fprintf(\n stderr, \"INFO ACC/LIBSMM: PARAMS of \\\"%s\\\" used to instantiate kernels\\n\", OPENCL_KERNELS_DEVICES[i]);\n }\n info = 1;\n }\n }\n }\n# endif\n }\n }\n else {\n if (0 != c_dbcsr_acc_opencl_config.verbosity) {\n fprintf(stderr, \"WARN LIBSMM: failed to load embedded parameters!\\n\");\n }\n break;\n }\n line = ++next;\n }\n } while (NULL != next);\n }\n# endif\n# if defined(OPENCL_KERNELS_DEVICES)\n if (EXIT_SUCCESS == result && 0 != ntuned && 0 == c_dbcsr_acc_opencl_config.nrank &&\n (2 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity))\n {\n fprintf(stderr, \"INFO ACC/LIBSMM: PARAMS in %i set%s loaded targeting \", ntuned, 1 != ntuned ? \"s\" : \"\");\n if (0 != c_dbcsr_acc_opencl_config.devmatch) {\n fprintf(stderr, \"%i device%s\\n\", ndevices_params, 1 != ndevices_params ? \"s\" : \"\");\n if (3 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) {\n unsigned int i = 0;\n for (; i < (unsigned int)ndevices_params; ++i) {\n fprintf(stderr, \"INFO ACC/LIBSMM: PARAMS -> \\\"%s\\\"\\n\", OPENCL_KERNELS_DEVICES[i]);\n }\n }\n }\n else fprintf(stderr, \"any device\\n\");\n }\n# endif\n }\n }\n }\n ACC_OPENCL_RETURN(result);\n}\n\n\nint libsmm_acc_finalize(void) {\n /* Routine libsmm_acc_init is called in master thread inside of parallel region\n * However, libsmm_acc_finalize is indirectly called (c_dbcsr_acc_finalize)\n * inside of a parallel region (not just the master thread).\n */\n# if defined(_OPENMP)\n /* initialization/finalization is not meant to be thread-safe */\n int result = ((0 == omp_in_parallel() || /*main*/ 0 == omp_get_thread_num()) ? EXIT_SUCCESS : EXIT_FAILURE);\n# pragma omp critical(opencl_libsmm_initialized)\n# else\n int result = EXIT_SUCCESS;\n# endif\n --opencl_libsmm_initialized;\n /* multiple calls to libsmm_acc_finalize are not considered as an error */\n if (0 == opencl_libsmm_initialized) {\n# if LIBXSMM_VERSION4(1, 17, 0, 0) < LIBXSMM_VERSION_NUMBER\n char fname[ACC_OPENCL_MAXSTRLEN];\n const void* regentry = libxsmm_get_registry_begin(LIBXSMM_KERNEL_KIND_USER, NULL /*key*/);\n for (; NULL != regentry; regentry = libxsmm_get_registry_next(regentry, NULL /*key*/)) {\n /* opencl_libsmm_trans_t/opencl_libsmm_smm_t carry cl_kernel as 1st data member */\n cl_kernel kernel = *(const cl_kernel*)regentry;\n if (NULL == kernel) kernel = ((const opencl_libsmm_smm_t*)regentry)->kernel[1];\n if (NULL != kernel) { /* only consider user-entry if clGetKernelInfo succeeded */\n int result_entry = clGetKernelInfo(kernel, CL_KERNEL_FUNCTION_NAME, sizeof(fname), fname, NULL);\n if (EXIT_SUCCESS == result_entry) {\n if (NULL != strstr(fname, OPENCL_LIBSMM_KERNELNAME_TRANS)) { /* trans-kernel */\n result_entry = clReleaseKernel(kernel);\n }\n else if (NULL != strstr(fname, OPENCL_LIBSMM_KERNELNAME_SMM)) { /* SMM-kernel */\n result_entry = clReleaseKernel(kernel);\n if (EXIT_SUCCESS == result_entry && kernel != ((const opencl_libsmm_smm_t*)regentry)->kernel[1]) {\n kernel = ((const opencl_libsmm_smm_t*)regentry)->kernel[1]; /* release 2nd kernel */\n if (NULL != kernel) result_entry = clReleaseKernel(kernel);\n }\n }\n if (EXIT_SUCCESS != result_entry) result = result_entry;\n }\n }\n }\n# endif\n# if !defined(__DBCSR_ACC)\n /* DBCSR shall call c_dbcsr_acc_init as well as libsmm_acc_init (since both interfaces are used).\n * Also, libsmm_acc_init may privately call c_dbcsr_acc_init (as it depends on the ACC interface).\n * The implementation of c_dbcsr_acc_init should hence be safe against \"over initialization\".\n * However, DBCSR only calls c_dbcsr_acc_init (and expects an implicit libsmm_acc_init).\n */\n if (EXIT_SUCCESS == result) result = c_dbcsr_acc_finalize();\n# endif\n libxsmm_finalize();\n }\n /* c_dbcsr_acc_finalize is not called since it can be used independently */\n return result;\n}\n\n\nc_dbcsr_acc_bool_t libsmm_acc_is_thread_safe(void) {\n /* match DBCSR's threading level */\n# if defined(_OPENMP)\n return 1;\n# else\n return 0;\n# endif\n}\n\n\nconst char* opencl_libsmm_getenv(const char domain[], const char key[]) {\n char buffer[ACC_OPENCL_BUFFERSIZE];\n const size_t keylen = strlen(key);\n const char* result = NULL;\n int nchar;\n if (2 != keylen) {\n nchar = LIBXSMM_SNPRINTF(buffer, sizeof(buffer), \"%s_%s\", domain, key);\n if (0 < nchar && (int)sizeof(buffer) > nchar) result = getenv(buffer);\n }\n else {\n nchar = LIBXSMM_SNPRINTF(buffer, sizeof(buffer), \"%s_PARAMS\", domain);\n if (0 < nchar && (int)sizeof(buffer) > nchar) result = getenv(buffer);\n if (NULL == result || '0' != *result) {\n nchar = LIBXSMM_SNPRINTF(buffer, sizeof(buffer), \"%s_%s\", domain, key);\n result = (0 < nchar && (int)sizeof(buffer) > nchar) ? getenv(buffer) : NULL;\n }\n else {\n result = NULL;\n }\n }\n return result;\n}\n\n\nint libsmm_acc_transpose(const int* dev_trs_stack, int offset, int stack_size, void* dev_data, libsmm_acc_data_t datatype, int m,\n int n, int max_kernel_dim, void* stream) {\n c_dbcsr_acc_opencl_info_memptr_t info_stack, info_mdata;\n int result = EXIT_SUCCESS;\n const int mn = m * n;\n assert((NULL != dev_trs_stack && NULL != stream && NULL != dev_data && 0 <= offset && 0 < stack_size) || 0 == stack_size);\n assert(0 < m && 0 < n);\n if (0 == stack_size || 1 == mn) return EXIT_SUCCESS;\n result |= c_dbcsr_acc_opencl_info_devptr(&info_stack, dev_trs_stack, sizeof(int), NULL /*amount*/, NULL /*offset*/);\n result |= c_dbcsr_acc_opencl_info_devptr(&info_mdata, dev_data, 1 /*elsize*/, NULL /*amount*/, NULL /*offset*/);\n if (EXIT_SUCCESS == result &&\n (\n# if defined(OPENCL_LIBSMM_F64)\n dbcsr_type_real_8 == datatype\n# else\n 0\n# endif\n ||\n# if defined(OPENCL_LIBSMM_F32)\n dbcsr_type_real_4 == datatype\n# else\n 0\n# endif\n ) &&\n mn <= (max_kernel_dim * max_kernel_dim))\n {\n const libxsmm_timer_tickint start = libxsmm_timer_tick();\n const c_dbcsr_acc_opencl_stream_t* const str = ACC_OPENCL_STREAM(stream);\n opencl_libsmm_trans_t* config;\n opencl_libsmm_transkey_t key;\n LIBXSMM_MEMZERO127(&key); /* potentially heterogeneous key-data (alignment gaps) */\n key.type = datatype;\n key.m = m;\n key.n = n; /* initialize key */\n config = (opencl_libsmm_trans_t*)libxsmm_xdispatch(&key, sizeof(key));\n if (NULL == config) {\n char buffer[ACC_OPENCL_BUFFERSIZE], build_params[ACC_OPENCL_BUFFERSIZE];\n char fname[ACC_OPENCL_MAXSTRLEN];\n int nchar = LIBXSMM_SNPRINTF(fname, sizeof(fname),\n /* kernel name are meant to be unambiguous (BLAS-typeprefix and kernelsize) */\n \"x\" OPENCL_LIBSMM_KERNELNAME_TRANS \"%ix%i\", m, n);\n# if defined(__DBCSR_ACC)\n int routine_handle;\n c_dbcsr_timeset(LIBSMM_ACC_TRANSPOSE_ROUTINE_NAME_STRPTR, LIBSMM_ACC_TRANSPOSE_ROUTINE_NAME_LENPTR, &routine_handle);\n# endif\n if (0 < nchar && (int)sizeof(fname) > nchar) {\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n const char *const env_cl = OPENCL_LIBSMM_TRANSENV(\"BUILDOPTS\"), *const env_bm = OPENCL_LIBSMM_TRANSENV(\"BM\");\n const char* const cmem = (EXIT_SUCCESS != c_dbcsr_acc_opencl_use_cmem(devinfo) ? \"global\" : \"constant\");\n const char* const build_format = \"-DCONSTANT=%s -DINPLACE=%i -DFN=%s -DSM=%i -DSN=%i -DWG=%i -DT=%s\";\n const char *const env_inplace = OPENCL_LIBSMM_TRANSENV(\"INPLACE\"), *tname = \"\";\n# if defined(OPENCL_LIBSMM_TRANS_INPLACE)\n const int inplace = ((m == n) && (NULL == env_inplace ? 1 : ('0' != *env_inplace)));\n# else\n const int inplace = ((m == n) && (NULL == env_inplace ? 0 : ('0' != *env_inplace)));\n# endif\n const int blockm = ((NULL == env_bm || '\\0' == *env_bm) ? 0 : atoi(env_bm));\n const int bm = (0 >= blockm ? m : LIBXSMM_MIN(blockm, m));\n opencl_libsmm_trans_t new_config;\n memset(&new_config, 0, sizeof(new_config));\n switch (datatype) {\n case dbcsr_type_real_8: {\n tname = \"char8\"; /* double */\n fname[0] = 'd';\n } break;\n case dbcsr_type_real_4: {\n tname = \"float\";\n fname[0] = 's';\n } break;\n default: assert('\\0' == *tname);\n }\n new_config.wgsize = LIBXSMM_MIN((size_t)((m == bm || 0 == (m % bm)) ? bm : m), devinfo->wgsize[0]);\n nchar = LIBXSMM_SNPRINTF(buffer, sizeof(buffer), \"%s\", NULL == env_cl ? \"\" : env_cl);\n if (0 <= /*<*/ nchar && (int)sizeof(buffer) > nchar) {\n nchar = LIBXSMM_SNPRINTF(\n build_params, sizeof(build_params), build_format, cmem, inplace, fname, m, n, (int)new_config.wgsize, tname);\n }\n if ('\\0' != *tname && 0 < nchar && (int)sizeof(build_params) > nchar) {\n result = c_dbcsr_acc_opencl_kernel(0 /*source_kind*/, OPENCL_KERNELS_SOURCE_TRANSPOSE, fname, build_params, buffer,\n NULL /*try*/, NULL /*try_ok*/, NULL /*extnames*/, 0 /*num_exts*/, &new_config.kernel);\n if (EXIT_SUCCESS == result) {\n size_t wgsize_max;\n assert(NULL != new_config.kernel);\n result = clGetKernelWorkGroupInfo(\n new_config.kernel, device_id, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &wgsize_max, NULL);\n if (EXIT_SUCCESS == result) {\n assert(0 < wgsize_max);\n if (wgsize_max < new_config.wgsize) {\n new_config.wgsize = wgsize_max;\n nchar = LIBXSMM_SNPRINTF(\n build_params, sizeof(build_params), build_format, cmem, inplace, fname, m, n, (int)new_config.wgsize, tname);\n if (0 < nchar && (int)sizeof(build_params) > nchar) {\n result = c_dbcsr_acc_opencl_kernel(0 /*source_kind*/, OPENCL_KERNELS_SOURCE_TRANSPOSE, fname, build_params,\n buffer, NULL /*try*/, NULL /*try_ok*/, NULL /*extnames*/, 0 /*num_exts*/, &new_config.kernel);\n }\n else result = EXIT_FAILURE;\n }\n if (EXIT_SUCCESS == result) {\n config = (opencl_libsmm_trans_t*)libxsmm_xregister(&key, sizeof(key), sizeof(new_config), &new_config);\n if (2 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) {\n const double duration = libxsmm_timer_duration(start, libxsmm_timer_tick());\n LIBXSMM_STDIO_ACQUIRE();\n fprintf(stderr, \"INFO ACC/LIBSMM: TRANS-kernel \");\n opencl_libsmm_write_trans_params(\n stderr, 0 /*only_key*/, &key, NULL /*config*/, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \"=\");\n opencl_libsmm_write_trans_params(\n stderr, 0 /*only_key*/, &key, config, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \" gen=%.1f ms\\n\", 1E3 * duration);\n LIBXSMM_STDIO_RELEASE();\n }\n }\n }\n }\n }\n else if (EXIT_SUCCESS == result) {\n result = EXIT_FAILURE;\n }\n }\n else {\n result = EXIT_FAILURE;\n }\n# if defined(__DBCSR_ACC)\n c_dbcsr_timestop(&routine_handle);\n# endif\n }\n assert((NULL != config && NULL != config->kernel && 0 < config->wgsize) || EXIT_SUCCESS != result);\n if (EXIT_SUCCESS == result) {\n const size_t work_size = config->wgsize * stack_size;\n assert(!(OPENCL_LIBSMM_NLOCKS_TRANS & (OPENCL_LIBSMM_NLOCKS_TRANS - 1))); /* POT */\n { /* calling clSetKernelArg/clEnqueueNDRangeKernel must be consistent */\n static ACC_OPENCL_ATOMIC_LOCKTYPE locks[OPENCL_LIBSMM_NLOCKS_TRANS];\n# if (1 < OPENCL_LIBSMM_NLOCKS_TRANS)\n const unsigned int hash = libxsmm_hash(&config->kernel, sizeof(cl_kernel), 25071975 /*seed*/);\n const unsigned int lidx = LIBXSMM_MOD2(hash, OPENCL_LIBSMM_NLOCKS_TRANS);\n ACC_OPENCL_ATOMIC_LOCKTYPE* const lock = locks + lidx;\n# else\n ACC_OPENCL_ATOMIC_LOCKTYPE* const lock = locks;\n# endif\n ACC_OPENCL_ATOMIC_ACQUIRE(lock);\n ACC_OPENCL_CHECK(\n result, clSetKernelArg(config->kernel, 0, sizeof(int), &offset), \"set offset argument of transpose kernel\");\n ACC_OPENCL_CHECK(result, c_dbcsr_acc_opencl_set_kernel_ptr(config->kernel, 1, info_stack.memory),\n \"set batch-list argument of transpose kernel\");\n ACC_OPENCL_CHECK(result, c_dbcsr_acc_opencl_set_kernel_ptr(config->kernel, 2, info_mdata.memory),\n \"set matrix-data argument of transpose kernel\");\n ACC_OPENCL_CHECK(result,\n clEnqueueNDRangeKernel(\n str->queue, config->kernel, 1 /*work_dim*/, NULL /*offset*/, &work_size, &config->wgsize, 0, NULL, NULL),\n \"launch transpose kernel\");\n /* eventually update performance counters inside of locked region */\n if ((3 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) && EXIT_SUCCESS == result) {\n LIBXSMM_STDIO_ACQUIRE();\n fprintf(stderr, \"INFO ACC/LIBSMM: TRANS-kernel \");\n opencl_libsmm_write_trans_params(\n stderr, 1 /*only_key*/, &key, NULL /*config*/, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \"=\");\n opencl_libsmm_write_trans_params(stderr, 1 /*only_key*/, &key, config, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \" ss=%i\\n\", stack_size);\n LIBXSMM_STDIO_RELEASE();\n }\n ACC_OPENCL_ATOMIC_RELEASE(lock);\n }\n }\n }\n else if (EXIT_SUCCESS == result) result = EXIT_FAILURE;\n ACC_OPENCL_RETURN(result);\n}\n\n\nc_dbcsr_acc_bool_t libsmm_acc_process_suitable(\n c_dbcsr_acc_bool_t def_mnk, libsmm_acc_data_t datatype, int stack_size, int m_max, int n_max, int k_max, int max_kernel_dim) {\n c_dbcsr_acc_bool_t result = 0; /* false */\n const int mn = m_max * n_max;\n if (0 < mn && 0 < k_max && 0 < stack_size &&\n 0 != def_mnk /*homogeneous*/\n /* allow k_max to exceed max_kernel_dim, TODO: BLAS for large kernels (m,n) */\n && mn <= (max_kernel_dim * max_kernel_dim))\n {\n switch (datatype) {\n# if defined(OPENCL_LIBSMM_F64)\n case dbcsr_type_real_8: {\n result = 1; /* true */\n } break;\n# endif\n# if defined(OPENCL_LIBSMM_F32)\n case dbcsr_type_real_4: {\n result = 1; /* true */\n } break;\n# endif\n default: assert(/*false*/ 0 == result);\n }\n }\n if ((/*false*/ 0 == result) && (2 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity)) {\n opencl_libsmm_smmkey_t key;\n opencl_libsmm_smm_t dummy;\n key.type = datatype;\n key.m = m_max;\n key.n = n_max;\n key.k = k_max; /* initialize key */\n memset(&dummy, 0, sizeof(dummy)); /* mute warnings about potentially uninitialized data */\n LIBXSMM_STDIO_ACQUIRE();\n fprintf(stderr, \"INFO ACC/LIBSMM: SMM-kernel \");\n opencl_libsmm_write_smm_params(stderr, 1 /*only_key*/, &key, NULL /*config*/, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \"=\");\n opencl_libsmm_write_smm_params(stderr, 1 /*only_key*/, &key, &dummy, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \" ss=%i\", stack_size);\n if (mn <= (max_kernel_dim * max_kernel_dim)) {\n fprintf(stderr, 0 != def_mnk ? \" is ignored\\n\" : \" is inhomogeneous\\n\");\n }\n else fprintf(stderr, \" is too large\\n\");\n LIBXSMM_STDIO_RELEASE();\n }\n return result;\n}\n\n\n# if defined(OPENCL_LIBSMM_PFORMAT) && (0 < OPENCL_LIBSMM_PFORMAT)\nvoid opencl_libsmm_acc_set_dbm_launch_fn(opencl_libsmm_acc_dbm_launch_fn_t launch_fn) {\n opencl_libsmm_acc_dbm_launch_fn = launch_fn;\n}\n# else\nint opencl_libsmm_acc_process(const int* host_param_stack, const int* dev_param_stack, int stack_size, libsmm_acc_data_t datatype,\n const void* dev_a_data, const void* dev_b_data, void* dev_c_data, int m_max, int n_max, int k_max, int max_kernel_dim,\n c_dbcsr_acc_bool_t def_mnk, void* stream, void* c_stream, int param_format, cl_event* event);\n# endif\nint opencl_libsmm_acc_process(const int* host_param_stack, const int* dev_param_stack, int stack_size, libsmm_acc_data_t datatype,\n const void* dev_a_data, const void* dev_b_data, void* dev_c_data, int m_max, int n_max, int k_max, int max_kernel_dim,\n c_dbcsr_acc_bool_t def_mnk, void* stream, void* c_stream, int param_format, cl_event* event) {\n int result = EXIT_SUCCESS;\n LIBXSMM_UNUSED(host_param_stack); /* TODO */\n LIBXSMM_UNUSED(c_stream); /* TODO */\n assert(0 == stack_size || (NULL != dev_a_data && NULL != dev_b_data && NULL != dev_c_data && NULL != dev_param_stack));\n assert(0 < max_kernel_dim && NULL != stream && 0 <= stack_size && 0 <= m_max && 0 <= n_max && 0 <= k_max);\n if (0 != libsmm_acc_process_suitable(def_mnk, datatype, stack_size, m_max, n_max, k_max, max_kernel_dim)) {\n const libxsmm_timer_tickint start = libxsmm_timer_tick();\n const c_dbcsr_acc_opencl_device_t* const devinfo = &c_dbcsr_acc_opencl_config.device;\n c_dbcsr_acc_opencl_info_memptr_t info_stack, info_adata, info_bdata, info_cdata;\n opencl_libsmm_smmkey_t key;\n const c_dbcsr_acc_opencl_stream_t* const str = ACC_OPENCL_STREAM(stream);\n LIBXSMM_MEMZERO127(&key); /* potentially heterogeneous key-data */\n key.devuid = ((1 != c_dbcsr_acc_opencl_config.devmatch && ((unsigned int)-1) != c_dbcsr_acc_opencl_config.devmatch)\n ? c_dbcsr_acc_opencl_config.devmatch\n : devinfo->uid);\n key.type = datatype;\n key.m = m_max;\n key.n = n_max;\n key.k = k_max;\n result |= c_dbcsr_acc_opencl_info_devptr(&info_stack, dev_param_stack, sizeof(int), NULL /*amount*/, NULL /*offset*/);\n result |= c_dbcsr_acc_opencl_info_devptr(&info_adata, dev_a_data, 1 /*elsize*/, NULL /*amount*/, NULL /*offset*/);\n result |= c_dbcsr_acc_opencl_info_devptr(&info_bdata, dev_b_data, 1 /*elsize*/, NULL /*amount*/, NULL /*offset*/);\n result |= c_dbcsr_acc_opencl_info_devptr(&info_cdata, dev_c_data, 1 /*elsize*/, NULL /*amount*/, NULL /*offset*/);\n if (EXIT_SUCCESS == result) {\n static ACC_OPENCL_ATOMIC_LOCKTYPE locks[OPENCL_LIBSMM_NLOCKS_SMM];\n const char *const env_s = OPENCL_LIBSMM_SMMENV(\"S\"), *const env_bs = OPENCL_LIBSMM_SMMENV(\"BS\");\n const int s = ((NULL == env_s || '\\0' == *env_s) ? OPENCL_LIBSMM_SMM_S : atoi(env_s));\n int kernel_idx = 0, bs = ((NULL == env_bs || '\\0' == *env_bs) ? 0 : atoi(env_bs));\n opencl_libsmm_smm_t* config;\n ACC_OPENCL_ATOMIC_LOCKTYPE* lock = locks;\n# if (1 < OPENCL_LIBSMM_NLOCKS_SMM)\n assert(!(OPENCL_LIBSMM_NLOCKS_SMM & (OPENCL_LIBSMM_NLOCKS_SMM - 1))); /* POT */\n lock += LIBXSMM_MOD2(libxsmm_hash(&key, sizeof(key), 25071975 /*seed*/), OPENCL_LIBSMM_NLOCKS_SMM);\n# endif\n ACC_OPENCL_ATOMIC_ACQUIRE(lock); /* calling clSetKernelArg/clEnqueueNDRangeKernel must be consistent */\n config = (opencl_libsmm_smm_t*)libxsmm_xdispatch(&key, sizeof(key));\n if (0 >= bs) bs = ((NULL != config && 0 < config->bs) ? config->bs : OPENCL_LIBSMM_DEFAULT_BS);\n /* determine kernel-kind (mini-batch vs. mini-kernel) */\n if (1 == bs || 0 > s || (bs * s) > stack_size) kernel_idx = bs = 1;\n if (NULL == config || NULL == config->kernel[kernel_idx]) {\n char buffer[ACC_OPENCL_BUFFERSIZE], build_params[ACC_OPENCL_BUFFERSIZE], fname[ACC_OPENCL_MAXSTRLEN];\n int nchar = LIBXSMM_SNPRINTF(fname, sizeof(fname),\n /* kernel name are meant to be unambiguous (BLAS-typeprefix and kernelsize) */\n \"x\" OPENCL_LIBSMM_KERNELNAME_SMM \"%ix%ix%i\", m_max, n_max, k_max);\n# if defined(__DBCSR_ACC)\n int routine_handle;\n c_dbcsr_timeset(LIBSMM_ACC_PROCESS_ROUTINE_NAME_STRPTR, LIBSMM_ACC_PROCESS_ROUTINE_NAME_LENPTR, &routine_handle);\n# endif\n result = ((0 < nchar && (int)sizeof(fname) > nchar) ? EXIT_SUCCESS : EXIT_FAILURE);\n if (EXIT_SUCCESS == result) {\n c_dbcsr_acc_opencl_atomic_fp_t tkind = c_dbcsr_acc_opencl_atomic_fp_no;\n const char* tname = NULL;\n switch (datatype) {\n case dbcsr_type_real_8: {\n tkind = c_dbcsr_acc_opencl_atomic_fp_64;\n tname = \"double\";\n fname[0] = 'd';\n } break;\n case dbcsr_type_real_4: {\n tkind = c_dbcsr_acc_opencl_atomic_fp_32;\n tname = \"float\";\n fname[0] = 's';\n } break;\n default: assert(NULL == tname);\n }\n if (NULL != tname) {\n const char *extensions[] = {NULL, NULL}, *const env_devid = OPENCL_LIBSMM_SMMENV(\"DEVID\");\n const cl_device_id device_id = c_dbcsr_acc_opencl_config.devices[c_dbcsr_acc_opencl_config.device_id];\n const unsigned int devuid = (NULL == env_devid || '\\0' == *env_devid) ? devinfo->uid\n : (unsigned int)strtoul(env_devid, NULL, 0);\n size_t nextensions = sizeof(extensions) / sizeof(*extensions), sgs = 0, wgsize_prf = 1;\n const char *const env_bm = OPENCL_LIBSMM_SMMENV(\"BM\"), *const env_bn = OPENCL_LIBSMM_SMMENV(\"BN\");\n const char *const env_bk = OPENCL_LIBSMM_SMMENV(\"BK\"), *const env_ws = OPENCL_LIBSMM_SMMENV(\"WS\");\n const char *const env_wg = OPENCL_LIBSMM_SMMENV(\"WG\"), *const env_lu = OPENCL_LIBSMM_SMMENV(\"LU\");\n const char *const env_nz = OPENCL_LIBSMM_SMMENV(\"NZ\"), *const env_al = OPENCL_LIBSMM_SMMENV(\"AL\");\n const char *const env_tb = OPENCL_LIBSMM_SMMENV(\"TB\"), *const env_tc = OPENCL_LIBSMM_SMMENV(\"TC\");\n const char *const env_ap = OPENCL_LIBSMM_SMMENV(\"AP\"), *const env_aa = OPENCL_LIBSMM_SMMENV(\"AA\");\n const char *const env_ab = OPENCL_LIBSMM_SMMENV(\"AB\"), *const env_ac = OPENCL_LIBSMM_SMMENV(\"AC\");\n const char *const env_xf = OPENCL_LIBSMM_SMMENV(\"XF\"), *const env_cl = OPENCL_LIBSMM_SMMENV(\"BUILDOPTS\");\n const char* const intel_xf = \"-cl-intel-256-GRF-per-thread\";\n const int blockn = ((NULL == env_bn || '\\0' == *env_bn) ? 0 : atoi(env_bn));\n const int blockk = ((NULL == env_bk || '\\0' == *env_bk) ? 0 : atoi(env_bk));\n const int wgmin = ((NULL == env_ws || '\\0' == *env_ws) ? 0 : atoi(env_ws));\n const int default_aa = (((0x0bd0 > devuid || 0x0bdb < devuid)) ? ((k_max % OPENCL_LIBSMM_VMIN) ? 1 : 2) : 0);\n const int default_ab = (((0x0bd0 > devuid || 0x0bdb < devuid) && 0x020a != devuid) ? 3 : 0), default_ac = 0;\n const int default_bk = (((0x0bd0 > devuid || 0x0bdb < devuid || n_max < k_max) && 0x020a != devuid)\n ? (0 == kernel_idx ? LIBXSMM_MIN(OPENCL_LIBSMM_DEFAULT_BK, m_max)\n : LIBXSMM_MIN(OPENCL_LIBSMM_VMIN, m_max))\n : 1);\n const int default_wg = (((0x0bd0 > devuid || 0x0bdb < devuid)) ? (0 == kernel_idx ? 0 : -2) : -1);\n const int default_lu = (0 != devinfo->intel ? -1 : 0);\n int defaults, blockm, nbm, nbn;\n opencl_libsmm_smm_t new_config;\n if (NULL == config) {\n memset(&new_config, 0, sizeof(new_config));\n }\n else { /* preserve kernels, performance counters, etc. */\n memcpy(&new_config, config, sizeof(opencl_libsmm_smm_t));\n }\n if (NULL == env_xf || '\\0' == *env_xf) {\n if (0 != devinfo->intel && CL_DEVICE_TYPE_GPU == devinfo->type && NULL != env_cl && NULL != strstr(env_cl, intel_xf))\n {\n new_config.flags = 1;\n }\n }\n else new_config.flags = atoi(env_xf);\n defaults = ((NULL == config || 0 != kernel_idx || (NULL != config && new_config.flags != config->flags)) ? 1 : 0);\n new_config.lu = LIBXSMM_MAX(-2, (NULL == env_lu || '\\0' == *env_lu) ? (0 != defaults ? default_lu : config->lu)\n : atoi(env_lu)); /* populate only lower bound */\n blockm = ((NULL == env_bm || '\\0' == *env_bm || 1 < new_config.lu) /* 1= new_config.lu ? 0 : LIBXSMM_UP(m_max / new_config.lu, OPENCL_LIBSMM_VMIN))\n : atoi(env_bm));\n /* two defaults for new_config parameters: 1st - regular, 2nd - BS=1 kernel */\n new_config.bm = (0 >= blockm ? (0 == kernel_idx ? (0 != defaults ? LIBXSMM_MIN(OPENCL_LIBSMM_DEFAULT_BM, m_max)\n : LIBXSMM_CLMP(config->bm, 1, m_max))\n : LIBXSMM_MIN(OPENCL_LIBSMM_DEFAULT_BM, m_max))\n : LIBXSMM_MIN(blockm, m_max));\n new_config.bn = (0 >= blockn ? (0 == kernel_idx ? (0 != defaults ? LIBXSMM_MIN(OPENCL_LIBSMM_DEFAULT_BN, n_max)\n : LIBXSMM_CLMP(config->bn, 1, n_max))\n : LIBXSMM_MIN(OPENCL_LIBSMM_DEFAULT_BN, n_max))\n : LIBXSMM_MIN(blockn, n_max));\n new_config.bk = (0 >= blockk ? (0 != defaults ? default_bk : LIBXSMM_CLMP(config->bk, 1, m_max))\n : LIBXSMM_MIN(blockk, m_max));\n new_config.ws = (0 >= wgmin ? (0 == kernel_idx ? (0 != defaults ? LIBXSMM_MAX(m_max, n_max)\n : LIBXSMM_CLMP(config->ws, 1, n_max * m_max))\n : LIBXSMM_MAX(m_max, n_max))\n : LIBXSMM_MIN(wgmin, n_max * m_max));\n new_config.wg = LIBXSMM_CLMP(\n (NULL == env_wg || '\\0' == *env_wg) ? (0 != defaults ? default_wg : config->wg) : atoi(env_wg), -2, 2);\n new_config.nz = LIBXSMM_CLMP(\n (NULL == env_nz || '\\0' == *env_nz) ? (0 != defaults ? /*default*/ 0 : config->nz) : atoi(env_nz), 0, 1);\n# if defined(OPENCL_LIBSMM_TODO)\n new_config.al = LIBXSMM_CLMP(/* bug with AL=1 and XF=1? */\n (NULL == env_al || '\\0' == *env_al) ? (0 != defaults ? /*default*/ 0 : config->al) : atoi(env_al), 0, 1);\n# else\n LIBXSMM_UNUSED(env_al);\n new_config.al = 0;\n# endif\n new_config.tb = LIBXSMM_CLMP(\n (NULL == env_tb || '\\0' == *env_tb) ? (0 != defaults ? /*default*/ 0 : config->tb) : atoi(env_tb), 0, 1);\n new_config.tc = LIBXSMM_CLMP(\n (NULL == env_tc || '\\0' == *env_tc) ? (0 != defaults ? /*default*/ 1 : config->tc) : atoi(env_tc), 0, 1);\n new_config.ap = LIBXSMM_CLMP(\n (NULL == env_ap || '\\0' == *env_ap) ? (0 != defaults ? /*default*/ 0 : config->ap) : atoi(env_ap), 0, 1);\n new_config.aa = LIBXSMM_CLMP(/* bug with AA=2 and XF=1? */\n (NULL == env_aa || '\\0' == *env_aa) ? (0 != defaults ? default_aa : config->aa) : atoi(env_aa), 0, 2);\n new_config.ab = LIBXSMM_CLMP(\n (NULL == env_ab || '\\0' == *env_ab) ? (0 != defaults ? default_ab : config->ab) : atoi(env_ab), 0, 2);\n new_config.ac = LIBXSMM_CLMP(\n (NULL == env_ac || '\\0' == *env_ac) ? (0 != defaults ? default_ac : config->ac) : atoi(env_ac), 0, 1);\n if (0 >= new_config.s) new_config.s = stack_size;\n if (0 == kernel_idx || 1 >= new_config.bs) new_config.bs = bs;\n nbm = (m_max + new_config.bm - 1) / new_config.bm;\n nbn = (n_max + new_config.bn - 1) / new_config.bn;\n new_config.wgsize[kernel_idx] = LIBXSMM_MAX(nbm * nbn, new_config.ws);\n if (0 != new_config.wg) {\n if (1 < devinfo->wgsize[2]) { /* subgroups supported */\n if (new_config.wgsize[kernel_idx] <= devinfo->wgsize[2]) {\n sgs = devinfo->wgsize[2];\n }\n else if (new_config.wgsize[kernel_idx] <= devinfo->wgsize[1]) {\n sgs = devinfo->wgsize[1];\n }\n }\n wgsize_prf = LIBXSMM_UP(new_config.wgsize[kernel_idx], 0 != sgs ? sgs : devinfo->wgsize[1]);\n }\n else { /* cover exactly */\n wgsize_prf = new_config.wgsize[kernel_idx];\n }\n if (2 <= new_config.wg) wgsize_prf = LIBXSMM_UP2POT(wgsize_prf);\n if (wgsize_prf < (2 * new_config.wgsize[kernel_idx])) new_config.wgsize[kernel_idx] = wgsize_prf; /* limit */\n assert(1 <= bs && 0 < new_config.wgsize[kernel_idx] && 0 < wgsize_prf);\n /* ensure minimum requested WG-size */\n while ((nbm * nbn) < new_config.ws && (nbm < m_max || nbn < n_max)) {\n if (nbn < n_max) ++nbn;\n else if (nbm < m_max) ++nbm;\n }\n if ((nbm * nbn) < new_config.ws) {\n new_config.bn = (n_max + nbn - 1) / nbn;\n new_config.bm = (m_max + nbm - 1) / nbm;\n new_config.wgsize[kernel_idx] = (2 > new_config.wg ? (nbm * nbn) : ((int)LIBXSMM_UP2POT(nbm * nbn)));\n }\n else { /* reset */\n nbm = (m_max + new_config.bm - 1) / new_config.bm;\n nbn = (n_max + new_config.bn - 1) / new_config.bn;\n }\n /* limit WG-size to maximum WG-size */\n while (devinfo->wgsize[0] < new_config.wgsize[kernel_idx] && (new_config.bm < m_max || new_config.bn < n_max)) {\n if (new_config.bn < n_max) {\n ++new_config.bn;\n nbn = (n_max + new_config.bn - 1) / new_config.bn;\n }\n else if (new_config.bm < m_max) {\n ++new_config.bm;\n nbm = (m_max + new_config.bm - 1) / new_config.bm;\n }\n new_config.wgsize[kernel_idx] = (2 > new_config.wg ? (nbm * nbn) : ((int)LIBXSMM_UP2POT(nbm * nbn)));\n }\n if (new_config.wgsize[kernel_idx] <= devinfo->wgsize[0]) { /* SMM can be handled by device */\n const char* const cmem = (EXIT_SUCCESS != c_dbcsr_acc_opencl_use_cmem(devinfo) ? \"global\" : \"constant\");\n const char* const env_nrepeat = getenv(\"NREPEAT_SMM\");\n const int typesize = OPENCL_LIBSMM_TYPESIZE(datatype);\n const int slm_a = (1 != new_config.aa ? 0 : (LIBXSMM_ISPOT(k_max * typesize) + 1));\n const int slm_b = (1 != new_config.ab ? 0 : (LIBXSMM_ISPOT(k_max * typesize) + 1));\n const int slm_c = (1 != new_config.ac ? 0 : (LIBXSMM_ISPOT(m_max * typesize) + 1));\n /* compose build parameters and flags */\n nchar = LIBXSMM_SNPRINTF(build_params, sizeof(build_params),\n \"-DT=%s -DGPU=%u -DCONSTANT=%s -DWG=%i -DSG=%i -DFN=%s -DREPEAT=%i -DLU=%i \"\n \"-DSM=%i -DSN=%i -DSK=%i -DBS=%i -DVL=%i %s -DBM=%i -DBN=%i -DBK=%i \"\n \"%s %s %s %s %s %s %s %s \", /* space! */\n tname, CL_DEVICE_TYPE_GPU == devinfo->type, cmem, (int)new_config.wgsize[kernel_idx], (int)sgs, fname,\n NULL == env_nrepeat ? 1 : atoi(env_nrepeat), new_config.lu, m_max, n_max, k_max, bs, OPENCL_LIBSMM_VMIN,\n bs == new_config.bs ? \"-DBSC\" : \"\", new_config.bm, new_config.bn, new_config.bk,\n 0 == new_config.tb ? \"\" : \"-DTRACK_B\", 0 != new_config.tc ? \"-DTRACK_C\" : \"\",\n 0 == new_config.nz ? \"\" : \"-DATOMIC_INC_NZ\", 0 == new_config.al ? \"\" : \"-DAL\", 0 == new_config.ap ? \"\" : \"-DSLM_P\",\n 0 == new_config.aa ? \"\" : (1 == slm_a ? \"-DSLM_A=1\" : (0 != slm_a ? \"-DSLM_A=2\" : \"-DREG_A\")),\n 0 == new_config.ab ? \"\" : (1 == slm_b ? \"-DSLM_B=1\" : (0 != slm_b ? \"-DSLM_B=2\" : \"-DREG_B\")),\n 0 == new_config.ac ? \"\" : (1 == slm_c ? \"-DSLM_C=1\" : \"-DSLM_C=2\"));\n /* apply support for FP-atomics */\n if (0 < nchar && (int)sizeof(build_params) > nchar) {\n nchar = c_dbcsr_acc_opencl_flags_atomics(&c_dbcsr_acc_opencl_config.device, tkind, extensions, &nextensions,\n build_params + nchar, sizeof(build_params) - nchar);\n }\n else result = EXIT_FAILURE;\n if (0 < nchar && (int)sizeof(build_params) > nchar) {\n nchar = LIBXSMM_SNPRINTF(buffer, sizeof(buffer), \"%s %s%s\",\n (0 == new_config.flags || 0 == devinfo->intel || CL_DEVICE_TYPE_GPU != devinfo->type) ? \"\" : intel_xf,\n 0 == c_dbcsr_acc_opencl_config.debug ? \"-cl-fast-relaxed-math -cl-denorms-are-zero \" : \"\",\n NULL == env_cl ? \"\" : env_cl);\n if (0 >= nchar || (int)sizeof(buffer) <= nchar) result = EXIT_FAILURE;\n }\n else result = EXIT_FAILURE;\n }\n else { /* matrix-size causes too large WG-size */\n result = EXIT_FAILURE;\n }\n if (EXIT_SUCCESS == result) {\n const char* const env_kernel = OPENCL_LIBSMM_SMMENV(\"KERNEL\");\n result = c_dbcsr_acc_opencl_kernel(NULL == env_kernel ? 0 : 1,\n NULL == env_kernel ? OPENCL_KERNELS_SOURCE_MULTIPLY : env_kernel, fname, build_params, buffer, NULL /*cl_try*/,\n NULL /*cl_try_ok*/, extensions, nextensions, new_config.kernel + kernel_idx);\n if (EXIT_SUCCESS == result) {\n size_t wgsize_max_kernel = devinfo->wgsize[0];\n result = clGetKernelWorkGroupInfo(\n new_config.kernel[kernel_idx], device_id, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &wgsize_max_kernel, NULL);\n if (EXIT_SUCCESS == result) {\n assert(0 < new_config.wgsize[kernel_idx] && 0 < wgsize_max_kernel);\n assert(wgsize_max_kernel <= devinfo->wgsize[0]);\n if (new_config.wgsize[kernel_idx] <= wgsize_max_kernel) { /* check planned WG-size vs kernel-specific WG-size */\n if (NULL == config || NULL == config->kernel[kernel_idx]) {\n config = (opencl_libsmm_smm_t*)libxsmm_xregister(&key, sizeof(key), sizeof(new_config), &new_config);\n }\n if (NULL != config) {\n if (2 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) {\n const double duration = libxsmm_timer_duration(start, libxsmm_timer_tick());\n LIBXSMM_STDIO_ACQUIRE();\n fprintf(stderr, \"INFO ACC/LIBSMM: SMM-kernel \");\n opencl_libsmm_write_smm_params(\n stderr, 0 /*only_key*/, &key, NULL /*config*/, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \"=\");\n opencl_libsmm_write_smm_params(\n stderr, 0 /*only_key*/, &key, &new_config, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \" gen=%.1f ms\\n\", 1E3 * duration);\n LIBXSMM_STDIO_RELEASE();\n }\n }\n /* failed to register config */\n else result = EXIT_FAILURE;\n }\n else {\n if (0 != c_dbcsr_acc_opencl_config.verbosity) {\n fprintf(stderr, \"ERROR LIBSMM: tile-size causes too large WG-size (min(%u,%u) < %u)!\\n\",\n (unsigned int)wgsize_max_kernel, (unsigned int)devinfo->wgsize[0],\n (unsigned int)new_config.wgsize[kernel_idx]);\n }\n result = EXIT_FAILURE; /* tile-size causes too large WG-size */\n }\n }\n }\n# if defined(NDEBUG)\n else if (2 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) {\n LIBXSMM_STDIO_ACQUIRE();\n fprintf(stderr, \"WARNING: SMM-kernel \");\n opencl_libsmm_write_smm_params(\n stderr, 0 /*only_key*/, &key, NULL /*config*/, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \"=\");\n opencl_libsmm_write_smm_params(\n stderr, 0 /*only_key*/, &key, &new_config, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \" failed to compile!\\n\");\n LIBXSMM_STDIO_RELEASE();\n }\n# endif\n }\n }\n /* insufficient device capabilities */\n else result = EXIT_FAILURE;\n }\n /* remove configuration from registry to avoid infinitely retrying code generation */\n if (EXIT_SUCCESS != result && NULL != config) {\n libxsmm_xrelease(&key, sizeof(key));\n }\n# if defined(__DBCSR_ACC)\n c_dbcsr_timestop(&routine_handle);\n# endif\n }\n assert(EXIT_SUCCESS != result || (NULL != config && NULL != config->kernel[kernel_idx]));\n assert(EXIT_SUCCESS != result || (1 <= config->bm && config->bm <= m_max));\n assert(EXIT_SUCCESS != result || (1 <= config->bn && config->bn <= n_max));\n assert(EXIT_SUCCESS != result || (1 <= config->bk && config->bk <= m_max));\n assert(EXIT_SUCCESS != result || (1 <= config->ws && config->ws <= (m_max * n_max)));\n assert(EXIT_SUCCESS != result || (-2 <= config->wg && 2 >= config->wg));\n assert(EXIT_SUCCESS != result || (-2 <= config->lu /*&& 2 >= config->lu*/));\n assert(EXIT_SUCCESS != result || (0 <= config->nz && 1 >= config->nz));\n assert(EXIT_SUCCESS != result || (0 <= config->al && 1 >= config->al));\n assert(EXIT_SUCCESS != result || (0 <= config->tb && 1 >= config->tb));\n assert(EXIT_SUCCESS != result || (0 <= config->tc && 1 >= config->tc));\n assert(EXIT_SUCCESS != result || (0 <= config->ap && 1 >= config->ap));\n assert(EXIT_SUCCESS != result || (0 <= config->aa && 2 >= config->aa));\n assert(EXIT_SUCCESS != result || (0 <= config->ab && 2 >= config->ab));\n assert(EXIT_SUCCESS != result || (0 <= config->ac && 1 >= config->ac));\n assert(EXIT_SUCCESS != result || (1 <= config->wgsize[kernel_idx]));\n assert(EXIT_SUCCESS != result || (1 <= config->s && 1 <= config->bs));\n if (EXIT_SUCCESS == result) {\n size_t work_size;\n /* scale intra-kernel batchsize according to stacksize */\n if (0 == kernel_idx && 1 < config->bs && stack_size < config->s) {\n# if defined(OPENCL_LIBSMM_BS_MIN)\n const int config_bs = LIBXSMM_MAX(config->bs, OPENCL_LIBSMM_BS_MIN);\n# else\n const int config_bs = config->bs;\n# endif\n bs = (stack_size * config_bs + config->s - 1) / (config->s - 1);\n if (config->bs < bs) bs = config->bs;\n }\n /* adjust launchsize according to intra-kernel batchsize */\n work_size = ((stack_size + bs - 1) / bs) * config->wgsize[kernel_idx];\n /* calling clSetKernelArg/clEnqueueNDRangeKernel must be consistent */\n ACC_OPENCL_CHECK(result, c_dbcsr_acc_opencl_set_kernel_ptr(config->kernel[kernel_idx], 0, info_cdata.memory),\n \"set C-matrix argument of SMM-kernel\");\n ACC_OPENCL_CHECK(result, c_dbcsr_acc_opencl_set_kernel_ptr(config->kernel[kernel_idx], 1, info_adata.memory),\n \"set A-matrix argument of SMM-kernel\");\n ACC_OPENCL_CHECK(result, c_dbcsr_acc_opencl_set_kernel_ptr(config->kernel[kernel_idx], 2, info_bdata.memory),\n \"set B-matrix argument of SMM-kernel\");\n ACC_OPENCL_CHECK(result, c_dbcsr_acc_opencl_set_kernel_ptr(config->kernel[kernel_idx], 3, info_stack.memory),\n \"set batch-list argument of SMM-kernel\");\n ACC_OPENCL_CHECK(result, clSetKernelArg(config->kernel[kernel_idx], 4, sizeof(int), ¶m_format),\n \"set batch-format argument of SMM-kernel\");\n if (0 == kernel_idx) {\n assert(bs <= config->bs);\n ACC_OPENCL_CHECK(result, clSetKernelArg(config->kernel[kernel_idx], 5, sizeof(int), &stack_size),\n \"set stacksize argument of SMM-kernel\");\n ACC_OPENCL_CHECK(\n result, clSetKernelArg(config->kernel[kernel_idx], 6, sizeof(int), &bs), \"set minibatch argument of SMM-kernel\");\n }\n ACC_OPENCL_CHECK(result,\n clEnqueueNDRangeKernel(str->queue, config->kernel[kernel_idx], 1 /*work_dim*/, NULL /*offset*/, &work_size,\n config->wgsize + kernel_idx, 0, NULL, event),\n \"launch SMM-kernel\");\n /* eventually update performance counters inside of locked region */\n if ((3 <= c_dbcsr_acc_opencl_config.verbosity || 0 > c_dbcsr_acc_opencl_config.verbosity) && 0 == param_format &&\n EXIT_SUCCESS == result)\n {\n LIBXSMM_STDIO_ACQUIRE();\n fprintf(stderr, \"INFO ACC/LIBSMM: SMM-kernel \");\n opencl_libsmm_write_smm_params(\n stderr, 1 /*only_key*/, &key, NULL /*config*/, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \"=\");\n opencl_libsmm_write_smm_params(stderr, 1 /*only_key*/, &key, config, NULL /*delim*/, NULL /*begin*/, NULL /*close*/);\n fprintf(stderr, \" ss=%i\\n\", stack_size);\n LIBXSMM_STDIO_RELEASE();\n }\n }\n ACC_OPENCL_ATOMIC_RELEASE(lock);\n }\n }\n else if (0 < stack_size) { /* inhomogeneous, large kernel, or unsupported datatype */\n return -1; /* TODO: document result code to trigger host-fallback */\n }\n return result;\n}\n\n\nint libsmm_acc_process(const int* host_param_stack, const int* dev_param_stack, int stack_size, libsmm_acc_data_t datatype,\n const void* dev_a_data, const void* dev_b_data, void* dev_c_data, int m_max, int n_max, int k_max, int max_kernel_dim,\n c_dbcsr_acc_bool_t def_mnk, void* stream, void* c_stream) {\n int result = EXIT_SUCCESS;\n# if defined(OPENCL_LIBSMM_PFORMAT) && (0 < OPENCL_LIBSMM_PFORMAT)\n assert(LIBXSMM_MAX(LIBXSMM_MAX(m_max, n_max), k_max) < (1 << (OPENCL_LIBSMM_PFORMAT - 1)));\n if (dbcsr_type_real_8 == datatype && 0 != def_mnk && NULL != opencl_libsmm_acc_dbm_launch_fn) {\n result = opencl_libsmm_acc_dbm_launch_fn(stream, 1.0 /*alpha*/, stack_size,\n m_max | (n_max << OPENCL_LIBSMM_PFORMAT) | (k_max << (OPENCL_LIBSMM_PFORMAT * 2)), host_param_stack, dev_param_stack,\n (const double*)dev_a_data, (const double*)dev_b_data, (double*)dev_c_data);\n }\n else\n# endif\n {\n result = opencl_libsmm_acc_process(host_param_stack, dev_param_stack, stack_size, datatype, dev_a_data, dev_b_data, dev_c_data,\n m_max, n_max, k_max, max_kernel_dim, def_mnk, stream, c_stream, 0 /*param_format*/, NULL /*event*/);\n }\n ACC_OPENCL_RETURN(result);\n}\n\n\nint c_calculate_norms(const double* mat, int nblks, const int* offsets, const int* nelems, float* norms, void* stream_ptr) {\n LIBXSMM_UNUSED(mat);\n LIBXSMM_UNUSED(nblks);\n LIBXSMM_UNUSED(offsets);\n LIBXSMM_UNUSED(nelems);\n LIBXSMM_UNUSED(norms);\n LIBXSMM_UNUSED(stream_ptr);\n return -1;\n}\n\n# if defined(__cplusplus)\n}\n# endif\n\n#endif /*__OPENCL*/\n" }, { "path": "src/acc/opencl/smm/opencl_libsmm.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: BSD-3-Clause */\n/*------------------------------------------------------------------------------------------------*/\n#ifndef OPENCL_LIBSMM_H\n#define OPENCL_LIBSMM_H\n\n#include \"../../acc_libsmm.h\"\n#include \"../acc_opencl.h\"\n\n/* Inplace-transpose by default (corresponding environment variable exists also) */\n#if !defined(OPENCL_LIBSMM_TRANS_INPLACE) && 0\n# define OPENCL_LIBSMM_TRANS_INPLACE\n#endif\n#if !defined(OPENCL_LIBSMM_F32_OFF) && defined(__DBCSR_ACC) && 0\n# define OPENCL_LIBSMM_F32_OFF\n#endif\n#if !defined(OPENCL_LIBSMM_F32) && !defined(OPENCL_LIBSMM_F32_OFF)\n# define OPENCL_LIBSMM_F32\n#endif\n#if !defined(OPENCL_LIBSMM_F64) && !defined(OPENCL_LIBSMM_F64_OFF)\n# define OPENCL_LIBSMM_F64\n#endif\n#if !defined(OPENCL_LIBSMM_PFORMAT) && 1\n# define OPENCL_LIBSMM_PFORMAT 8\n#endif\n\n\n#if defined(__cplusplus)\nextern \"C\" {\n#endif\n\n/** Type for querying transpose kernel configuration. */\ntypedef struct opencl_libsmm_transkey_t {\n libsmm_acc_data_t type; /* must be the 1st data member */\n int m, n;\n} opencl_libsmm_transkey_t;\n\n/** Type for transpose kernel configuration. */\ntypedef struct opencl_libsmm_trans_t {\n cl_kernel kernel; /* must be the 1st data member */\n size_t wgsize;\n} opencl_libsmm_trans_t;\n\n/** Type for querying SMM-kernel configuration. */\ntypedef struct opencl_libsmm_smmkey_t {\n libsmm_acc_data_t type; /* must be the 1st data member */\n int m, n, k;\n /* device matching configuration (parameters) */\n unsigned int devuid;\n} opencl_libsmm_smmkey_t;\n\n/** Type for SMM-kernel configuration. */\ntypedef struct opencl_libsmm_smm_t {\n cl_kernel kernel[2]; /* must be the 1st data member */\n size_t wgsize[2];\n double gflops;\n /* (pseudo-)parameters (either pretuned or determined) */\n int s, bs, bm, bn, bk, ws, wg, lu, nz, al, tb, tc, ap, aa, ab, ac, flags;\n} opencl_libsmm_smm_t;\n\n/** Type to collect statistics about tuned SMM-kernels */\ntypedef struct opencl_libsmm_perfest_t {\n double gf_ai_sratio_max, gf_ai_sratio_sumlog, gf_ai_sratio_kahan;\n double gf_ai_dratio_max, gf_ai_dratio_sumlog, gf_ai_dratio_kahan;\n size_t scount, dcount;\n} opencl_libsmm_perfest_t;\n\n\n/** Returns environment variable's value for given domain and key. */\nconst char* opencl_libsmm_getenv(const char domain[], const char key[]);\n\n/**\n * TRANS-kernel: write key and tunables into a (file-)stream.\n * If config=NULL, key/parameter names are written. The arguments\n * delim, begin, and close are optional as well (can be NULL).\n * With only the key being written the config still controls\n * if values or names are written.\n * Returns the number of characters written (negative if error).\n */\nint opencl_libsmm_write_trans_params(FILE* stream, int only_key, const opencl_libsmm_transkey_t* key,\n const opencl_libsmm_trans_t* config, const char* delim, const char* begin, const char* close);\n\n/**\n * SMM-kernel: write key and tunables into a (file-)stream.\n * The environment variable OPENCL_LIBSMM_SMM_PARAMS=\"\"\n * reproduces a configuration. If config=NULL, key/parameter\n * names are written. The arguments delim, begin, and close\n * are optional as well (can be NULL).\n * With only the key being written the config still controls\n * if values or names are written.\n * Returns the number of characters written (negative if error).\n */\nint opencl_libsmm_write_smm_params(FILE* stream, int only_key, const opencl_libsmm_smmkey_t* key, const opencl_libsmm_smm_t* config,\n const char* delim, const char* begin, const char* close);\n\n/** Tokenize parambuf and initialize key/value pair. */\nint opencl_libsmm_read_smm_params(char* parambuf, opencl_libsmm_smmkey_t* key, opencl_libsmm_smm_t* value,\n opencl_libsmm_perfest_t* perfest, char* device, int* key_ok);\n\nc_dbcsr_acc_bool_t libsmm_acc_process_suitable(\n c_dbcsr_acc_bool_t def_mnk, libsmm_acc_data_t datatype, int stack_size, int m_max, int n_max, int k_max, int max_kernel_dim);\n\n#if defined(OPENCL_LIBSMM_PFORMAT) && (0 < OPENCL_LIBSMM_PFORMAT)\ntypedef int (*opencl_libsmm_acc_dbm_launch_fn_t)(void* stream, double alpha, int ntasks, int param_format, const int* params_host,\n const int* params, const double* pack_a_data, const double* pack_b_data, double* shard_c_data);\n/** Enables DBM-kernel for LIBSMM (revsere reuse). */\nvoid opencl_libsmm_acc_set_dbm_launch_fn(opencl_libsmm_acc_dbm_launch_fn_t launch_fn);\n\n/** Backend-specific variant of libsmm_acc_process, which allows to easier reuse LIBSMM kernels. */\nint opencl_libsmm_acc_process(const int* host_param_stack, const int* dev_param_stack, int stack_size, libsmm_acc_data_t datatype,\n const void* dev_a_data, const void* dev_b_data, void* dev_c_data, int m_max, int n_max, int k_max, int max_kernel_dim,\n c_dbcsr_acc_bool_t def_mnk, void* stream, void* c_stream, int param_format, cl_event* event);\n#endif\n\n#if defined(__cplusplus)\n}\n#endif\n\n#endif /*OPENCL_LIBSMM_H*/\n" }, { "path": "src/acc/opencl/smm/opencl_test.sh", "content": "#!/usr/bin/env bash\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: BSD-3-Clause #\n####################################################################################################\n\nHERE=\"$(cd \"$(dirname \"$0\")\" && pwd -P)\"\nTEST=acc_bench\nEXE=${HERE}/../../${TEST}\n\nif [ ! -e \"$1\" ]; then\n >&2 echo \"USAGE: $0 logfile\"\n exit 1\nfi\nif [ ! -e \"${EXE}\" ]; then\n >&2 echo \"ERROR: please build ${TEST}!\"\n exit 1\nfi\n\nsed -n \"s/FAILED\\[..*\\] \\(..*\\): \\(..*\\)/\\1 \\2/p\" \"$1\" | while read -r LINE; do\n read -r MNK KEYVALS <<<\"${LINE}\"\n EXPORT=\"\"\n for KEYVAL in ${KEYVALS}; do\n EXPORT=\"${EXPORT} OPENCL_LIBSMM_SMM_${KEYVAL}\"\n done\n if [ \"${EXPORT}\" ]; then\n echo \"${MNK}: ${KEYVALS}\"\n eval \"${EXPORT} ${EXE} ${MNK} 2>&1\" | sed \"s/^/ /\"\n fi\ndone\n" }, { "path": "src/acc/opencl/smm/params/README.md", "content": "# Tuned Parameters\n\nThe OpenCL based implementation of LIBSMM supports default kernel-parameters, i.e., kernels can be successfuly generated for every requested multiplication/matrix shape (M, N, K) within the definition of a \"Small Matrix Multiplication\" (maximum M, N, and K).\n\nTuned parameters targeting different devices can co-exist and can be embeded into the same executable, i.e., the executable does not depend on a particular build-path or location of parameter-files.\n\nParameters are selected by matching against a device-ID with fallback to the \"best-matching\" parameters. The device-ID can be based on a vendor-specific function to identify a certain device or is generated from device's name as exposed by the OpenCL API.\n\nParameters can be loaded from a CSV-file at runtime (`OPENCL_LIBSMM_SMM_PARAMS` environment variable) and thereby disable matching devices, i.e., parameters loaded this way will take precedence.\n" }, { "path": "src/acc/opencl/smm/params/tune_multiply_A100.csv", "content": "DEVICE;TYPEID;M;N;K;S;GFLOPS;BS;BM;BN;BK;WS;WG;LU;NZ;AL;TB;TC;AP;AA;AB;AC\nNVIDIA A100 80GB PCIe [0x1f79];3;2;2;2;30000;0;9;2;1;2;0;1;-1;0;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;3;3;3;30000;0;9;3;1;3;1;-1;-2;0;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;4;30000;0;9;1;1;2;1;-1;-2;0;1;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;5;30000;0;6;1;1;4;0;1;-1;1;0;0;1;1;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;7;30000;0;7;4;1;2;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;9;30000;0;5;4;1;2;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;10;30000;0;6;4;1;4;0;0;-1;1;1;1;1;0;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;13;30000;0;4;1;1;4;1;-1;0;0;0;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;15;30000;0;14;4;1;2;0;-2;-1;1;0;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;17;30000;0;5;4;1;4;0;-2;-1;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;25;30000;0;14;4;1;2;0;0;1;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;26;30000;0;14;4;1;3;0;-2;-1;1;0;1;1;1;1;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;28;30000;0;6;4;1;2;0;-1;-1;0;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;4;32;30000;0;3;4;1;4;0;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;5;4;30000;0;12;4;1;4;1;1;-1;0;0;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;5;5;30000;0;9;1;1;1;0;-1;1;1;1;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;5;7;30000;0;6;4;1;2;1;1;0;0;1;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;5;9;30000;0;6;4;1;2;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;5;13;30000;0;4;4;1;4;0;-1;-2;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;5;17;30000;0;5;4;1;2;0;1;-1;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;5;25;30000;0;6;4;1;3;0;-1;-1;0;0;1;0;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;5;32;30000;0;2;1;1;2;1;-2;1;0;0;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;7;4;30000;0;24;4;1;3;1;0;0;0;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;7;5;30000;0;14;4;1;2;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;7;7;30000;0;10;4;1;1;0;-1;-1;0;1;1;1;1;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;7;9;30000;0;6;4;1;3;0;-2;0;0;1;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;7;13;30000;0;4;4;1;3;0;1;-2;1;0;0;1;0;1;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;9;4;30000;0;15;4;1;4;0;0;-2;0;0;0;1;1;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;9;5;30000;0;10;4;1;2;1;0;-1;0;1;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;9;7;30000;0;14;4;1;4;0;0;-1;0;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;9;9;30000;0;10;4;1;4;0;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;9;13;30000;0;5;4;1;4;0;0;0;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;10;4;30000;0;24;4;1;4;1;-2;-1;0;1;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;10;10;30000;0;14;4;1;4;1;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;13;4;30000;0;12;2;1;3;0;1;0;0;1;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;13;5;30000;0;16;2;2;4;0;-2;-1;0;1;1;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;13;7;30000;0;14;4;1;1;0;2;0;0;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;13;9;30000;0;7;4;1;3;0;1;-2;1;1;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;13;13;30000;0;10;4;1;3;0;-2;-2;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;13;17;30000;0;10;4;1;2;0;-2;1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;13;32;30000;0;15;4;1;4;0;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;15;4;30000;0;20;4;1;1;0;0;0;0;0;1;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;17;4;30000;0;22;4;1;2;0;-1;-1;1;0;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;17;5;30000;0;12;4;1;3;0;1;-2;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;17;13;30000;0;10;4;1;4;0;0;-2;0;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;17;17;30000;0;10;4;1;3;0;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;17;32;30000;0;15;4;1;3;0;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;25;4;30000;0;23;4;1;1;0;0;0;0;0;0;1;1;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;25;5;30000;0;21;4;1;2;0;0;0;0;0;1;1;0;2;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;26;4;30000;0;22;4;1;1;0;-2;0;1;0;1;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;28;4;30000;0;18;4;1;1;0;-2;0;0;1;1;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;32;4;30000;0;19;4;1;1;0;0;-2;1;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;32;5;30000;0;19;4;1;2;1;1;-2;0;1;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;32;13;30000;0;12;4;1;3;0;1;-1;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;32;17;30000;0;13;4;1;3;0;1;1;0;0;0;1;1;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;4;32;32;30000;0;25;4;1;4;0;1;-1;0;1;0;1;1;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;4;4;30000;0;9;1;1;5;1;0;-1;0;1;1;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;4;5;30000;0;12;1;1;3;1;0;-2;0;1;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;4;7;30000;0;15;1;1;1;0;-2;0;0;0;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;4;9;30000;0;12;1;1;5;1;0;0;0;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;4;13;30000;0;10;1;1;2;0;0;-1;0;1;0;0;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;4;17;30000;0;4;1;1;1;1;0;-2;0;1;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;4;25;30000;0;5;5;1;4;0;1;-2;0;0;0;0;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;4;32;30000;0;2;1;1;2;1;0;0;0;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;5;4;30000;0;10;1;1;2;1;0;0;1;1;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;5;5;30000;0;18;5;1;2;1;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;5;7;30000;0;7;5;1;5;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;5;9;30000;0;25;5;1;5;0;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;5;13;30000;0;10;1;1;2;1;0;-1;0;0;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;5;17;30000;0;4;1;1;3;1;0;1;0;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;5;32;30000;0;5;5;1;2;0;-2;-1;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;7;4;30000;0;12;5;1;2;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;7;5;30000;0;14;5;1;2;1;1;-2;0;1;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;7;7;30000;0;14;5;1;4;0;-2;0;1;0;1;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;7;9;30000;0;16;5;1;4;0;-1;-1;1;0;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;7;13;30000;0;12;5;1;5;0;-1;-2;1;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;9;4;30000;0;18;5;1;4;1;0;-2;0;0;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;9;5;30000;0;24;5;1;3;0;1;-2;0;0;1;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;9;7;30000;0;15;5;1;2;0;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;9;9;30000;0;12;5;1;1;0;1;0;1;1;1;1;0;0;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;13;4;30000;0;12;5;1;4;0;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;13;5;30000;0;14;5;1;3;0;-1;0;1;0;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;13;7;30000;0;24;5;1;2;0;1;0;1;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;13;13;30000;0;10;5;1;2;0;-1;0;0;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;13;17;30000;0;10;5;1;4;0;-2;-1;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;13;32;30000;0;15;5;1;4;0;-2;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;17;4;30000;0;22;5;1;5;0;-1;0;0;0;0;1;1;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;17;5;30000;0;12;5;1;4;0;-2;0;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;17;13;30000;0;10;5;1;3;0;0;-1;1;0;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;17;17;30000;0;10;5;1;5;0;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;17;32;30000;0;15;5;1;4;0;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;25;4;30000;0;29;5;1;1;0;1;-2;0;0;0;1;1;0;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;32;4;30000;0;24;5;1;5;0;-2;-1;1;0;1;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;32;5;30000;0;20;5;1;5;0;-1;-1;0;0;1;1;1;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;32;13;30000;0;13;5;1;5;0;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;32;17;30000;0;10;5;1;2;0;1;0;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;5;32;32;30000;0;15;5;1;2;0;-1;0;1;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;6;6;30000;0;10;6;1;2;1;-2;0;0;1;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;6;7;30000;0;19;6;1;6;0;-2;-1;1;1;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;6;8;30000;0;10;6;1;2;0;1;1;0;0;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;7;6;30000;0;28;6;1;5;0;-2;0;1;0;0;1;1;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;7;7;30000;0;11;6;1;2;0;1;-1;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;7;8;30000;0;14;6;1;4;0;-1;0;1;0;0;1;0;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;8;6;30000;0;14;6;1;3;0;0;0;0;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;8;7;30000;0;12;6;1;4;0;-1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;6;8;8;30000;0;26;6;1;4;0;0;-1;0;1;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;4;4;30000;0;9;1;1;3;1;-2;0;1;0;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;4;5;30000;0;10;1;1;2;0;-2;-2;0;0;1;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;4;7;30000;0;9;1;1;5;0;-1;-1;0;0;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;4;9;30000;0;6;1;1;5;0;0;-2;0;0;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;4;13;30000;0;19;7;1;2;0;-1;-2;0;1;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;5;4;30000;0;16;7;1;3;1;1;0;0;1;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;5;5;30000;0;10;7;1;2;1;-1;1;0;0;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;5;7;30000;0;14;7;1;2;0;-2;0;0;0;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;5;9;30000;0;10;7;1;4;0;1;0;0;1;1;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;5;13;30000;0;10;1;2;3;0;1;-2;1;0;1;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;6;6;30000;0;14;7;1;7;0;0;-1;0;0;0;1;1;0;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;6;7;30000;0;14;2;1;3;0;1;-2;1;0;1;1;1;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;6;8;30000;0;20;7;1;2;0;0;-1;0;1;1;1;1;0;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;7;4;30000;0;24;7;1;2;1;0;-2;0;1;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;7;5;30000;0;13;7;1;6;0;-2;0;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;7;6;30000;0;35;7;1;3;0;0;1;1;0;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;7;7;30000;0;18;7;1;2;0;2;0;0;0;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;7;8;30000;0;21;7;1;3;0;-2;1;0;0;0;1;0;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;7;9;30000;0;7;7;1;4;0;-2;-1;0;0;1;1;0;1;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;7;13;30000;0;20;7;1;2;0;1;0;1;0;1;1;1;1;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;8;6;30000;0;19;7;1;3;0;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;8;7;30000;0;12;7;1;4;0;0;-2;0;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;8;8;30000;0;10;7;1;6;0;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;9;4;30000;0;16;7;1;2;0;-2;0;0;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;9;5;30000;0;13;7;1;3;0;0;-2;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;9;7;30000;0;12;7;1;4;0;0;0;0;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;13;4;30000;0;21;7;1;6;0;0;-2;0;0;1;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;13;5;30000;0;9;7;1;4;0;1;0;1;0;1;1;1;1;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;13;7;30000;0;22;7;1;2;0;0;0;1;0;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;7;13;13;30000;0;5;1;2;3;0;0;-2;1;1;1;1;0;2;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;6;6;30000;0;12;1;2;8;1;-1;0;0;0;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;6;7;30000;0;13;8;1;8;0;-2;-1;0;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;6;8;30000;0;18;8;1;8;0;1;1;0;0;0;1;0;0;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;7;6;30000;0;15;8;1;2;0;0;-1;0;1;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;7;7;30000;0;10;2;1;2;0;-2;0;0;0;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;7;8;30000;0;12;2;1;6;0;-1;-1;1;0;1;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;8;6;30000;0;18;8;1;2;0;-2;-1;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;8;7;30000;0;14;8;1;3;0;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;8;8;8;30000;0;12;8;1;5;0;0;-1;0;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;4;4;30000;0;14;9;1;4;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;4;5;30000;0;14;9;1;4;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;4;7;30000;0;9;2;1;4;1;1;1;0;0;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;4;9;30000;0;9;1;2;8;1;0;-2;0;1;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;4;13;30000;0;10;9;1;2;0;1;0;0;0;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;5;4;30000;0;14;9;1;7;1;-2;-2;0;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;5;5;30000;0;12;2;1;3;1;0;0;0;0;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;5;7;30000;0;18;9;1;4;0;-2;-1;0;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;5;9;30000;0;14;2;1;3;0;0;-2;0;0;0;1;1;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;7;4;30000;0;18;9;1;3;0;-1;0;1;0;1;1;1;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;7;5;30000;0;18;9;1;3;0;0;-2;0;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;7;7;30000;0;10;9;1;3;0;1;-1;0;0;0;1;0;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;9;4;30000;0;24;9;1;7;0;-2;0;0;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;9;5;30000;0;15;9;1;2;0;0;-2;1;0;1;1;1;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;9;9;30000;0;14;9;1;9;0;1;-1;0;1;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;9;16;30000;0;10;9;1;6;0;1;-1;1;1;1;1;0;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;9;22;30000;0;10;9;1;2;0;-2;1;0;1;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;9;32;30000;0;12;9;1;3;0;-1;-1;0;1;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;13;4;30000;0;17;9;1;3;0;-1;0;1;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;16;9;30000;0;12;9;1;2;1;-1;-2;0;1;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;16;16;30000;0;2;1;8;8;0;-2;-1;0;0;0;0;0;2;1;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;16;22;30000;0;8;9;1;2;0;-1;0;0;1;0;1;1;1;1;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;22;9;30000;0;15;9;1;2;0;1;-2;1;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;22;16;30000;0;10;9;1;5;0;-2;-2;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;22;22;30000;0;10;9;1;5;0;-1;-1;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;22;32;30000;0;15;9;1;5;0;1;-2;1;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;32;9;30000;0;13;9;1;4;0;1;-1;1;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;32;22;30000;0;12;9;1;7;0;-1;-2;1;1;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;9;32;32;30000;0;12;9;1;9;0;-1;-2;1;1;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;10;4;4;30000;0;12;1;2;4;0;-2;-1;0;0;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;10;4;10;30000;0;10;1;2;6;0;0;-2;0;0;1;1;1;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;10;10;4;30000;0;24;10;1;5;0;1;1;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;10;10;10;30000;0;3;10;1;3;0;-2;-1;1;0;0;1;1;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;4;4;30000;0;16;1;2;5;0;1;1;0;0;0;1;1;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;4;5;30000;0;9;13;1;9;0;-1;0;1;0;1;1;1;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;4;7;30000;0;10;2;1;10;1;1;0;0;0;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;4;9;30000;0;9;2;1;2;0;0;-1;1;0;1;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;4;13;30000;0;12;13;1;12;0;0;-2;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;4;17;30000;0;10;13;1;1;0;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;4;32;30000;0;15;13;1;2;0;-1;-1;1;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;5;4;30000;0;9;1;3;13;1;-1;-1;0;1;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;5;5;30000;0;14;3;1;8;1;0;1;0;0;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;5;7;30000;0;4;13;1;12;0;1;-1;1;1;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;5;13;30000;0;10;3;1;9;0;-1;-1;0;0;1;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;5;17;30000;0;14;2;2;5;0;-1;0;0;1;0;1;0;0;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;5;32;30000;0;40;2;2;7;0;-1;0;0;1;0;1;0;0;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;7;4;30000;0;14;13;1;10;0;1;-2;0;0;1;1;0;1;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;7;5;30000;0;18;13;1;4;0;-1;0;1;1;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;7;7;30000;0;17;13;1;3;0;-2;1;1;1;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;7;13;30000;0;10;1;4;4;0;-1;-2;1;0;1;1;0;2;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;9;4;30000;0;18;13;1;12;0;-1;0;1;0;1;1;1;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;13;4;30000;0;18;13;1;12;0;0;-2;1;0;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;13;5;30000;0;24;13;1;3;0;0;0;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;13;7;30000;0;20;13;1;8;0;0;0;1;0;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;13;13;30000;0;9;13;1;4;0;-2;1;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;13;17;30000;0;7;13;1;12;0;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;13;32;30000;0;9;13;1;13;0;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;17;4;30000;0;18;13;1;11;0;-2;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;17;5;30000;0;19;13;1;13;0;-1;-1;1;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;17;13;30000;0;15;13;1;9;0;-2;0;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;17;17;30000;0;15;13;1;5;0;1;-2;0;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;17;32;30000;0;26;13;1;11;0;-2;0;1;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;32;4;30000;0;26;13;1;8;0;-2;-1;1;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;32;5;30000;0;18;13;1;4;0;-1;0;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;32;13;30000;0;20;13;1;13;0;1;-1;0;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;32;17;30000;0;26;13;1;9;0;-1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;13;32;32;30000;0;12;13;1;13;1;-1;0;1;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;15;4;4;30000;0;9;2;1;2;1;-1;-2;0;0;0;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;15;15;15;30000;0;15;15;1;2;0;-1;0;1;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;9;9;30000;0;10;16;1;8;0;0;0;1;1;1;1;0;1;1;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;9;16;30000;0;10;16;1;4;0;0;0;0;0;0;1;0;1;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;9;22;30000;0;20;16;1;7;0;0;-1;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;16;9;30000;0;15;16;1;2;0;0;0;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;16;16;30000;0;12;16;1;2;0;-1;-1;1;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;16;22;30000;0;11;16;1;14;0;1;-1;1;1;0;1;1;1;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;22;9;30000;0;13;16;1;14;0;1;0;1;0;0;1;1;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;22;16;30000;0;23;16;1;3;0;-2;-2;1;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;16;22;22;30000;0;31;16;1;7;0;-1;-1;1;0;1;1;1;1;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;4;4;30000;0;10;17;1;15;0;-2;0;1;0;0;1;0;0;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;4;5;30000;0;9;2;2;9;0;-1;-1;1;1;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;4;13;30000;0;9;3;1;15;0;-2;-1;0;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;4;17;30000;0;10;17;1;3;0;1;1;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;4;32;30000;0;7;17;1;1;0;1;-2;1;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;5;4;30000;0;14;3;1;3;0;0;-2;0;0;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;5;5;30000;0;24;17;1;11;0;-1;0;0;0;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;5;13;30000;0;10;1;5;13;0;-1;-2;0;1;1;1;1;2;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;5;17;30000;0;10;17;1;17;0;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;5;32;30000;0;4;17;1;17;0;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;13;4;30000;0;19;9;1;5;0;0;-1;0;0;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;13;5;30000;0;14;17;1;16;0;-2;-2;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;13;13;30000;0;12;17;1;17;0;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;13;17;30000;0;8;17;1;1;0;-2;-2;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;13;32;30000;0;26;17;1;4;0;-1;-2;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;17;4;30000;0;24;17;1;14;0;0;-2;0;1;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;17;5;30000;0;18;17;1;15;0;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;17;13;30000;0;15;17;1;9;0;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;17;17;30000;0;24;17;1;17;0;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;17;32;30000;0;7;17;1;16;0;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;32;4;30000;0;18;17;1;6;0;-2;-2;1;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;32;5;30000;0;18;17;1;17;0;-1;-2;1;1;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;32;13;30000;0;20;17;1;10;0;-1;0;1;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;32;17;30000;0;20;17;1;14;0;1;0;0;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;17;32;32;30000;0;24;17;1;2;1;0;-2;1;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;20;20;20;30000;0;24;20;1;17;0;1;-1;0;0;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;9;9;30000;0;18;22;1;11;0;1;-1;0;1;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;9;16;30000;0;18;22;1;6;0;-1;-1;1;1;1;1;0;1;1;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;9;22;30000;0;7;22;1;3;0;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;9;32;30000;0;1;22;1;14;0;-2;-2;1;1;0;1;0;2;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;16;9;30000;0;13;22;1;10;0;1;0;0;1;1;1;1;1;1;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;16;16;30000;0;7;22;1;3;0;1;-1;1;1;0;1;0;1;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;16;22;30000;0;24;22;1;9;0;1;0;1;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;22;9;30000;0;24;22;1;5;0;0;0;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;22;16;30000;0;15;22;1;15;0;-1;0;1;0;0;1;1;1;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;22;22;30000;0;24;22;1;22;0;0;-2;1;0;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;22;32;30000;0;24;22;1;13;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;32;9;30000;0;15;22;1;9;0;-1;1;1;1;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;32;22;30000;0;24;22;1;19;0;0;-2;1;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;22;32;32;30000;0;24;22;1;15;1;-2;-2;0;1;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;23;23;23;30000;0;24;23;1;15;1;0;-2;0;0;0;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;24;24;24;30000;0;18;24;1;17;1;-1;2;1;1;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;25;4;4;30000;0;19;25;1;10;0;1;1;0;0;1;1;0;1;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;25;4;5;30000;0;1;25;1;15;0;0;1;0;1;0;0;1;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;25;5;4;30000;0;5;25;1;14;0;-2;0;0;1;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;25;25;25;30000;0;24;25;1;13;1;1;-2;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;26;4;4;30000;0;18;26;1;3;0;0;-2;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;28;4;4;30000;0;14;28;1;16;1;1;4;0;0;0;1;0;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;28;28;28;30000;0;25;28;1;3;1;1;-2;1;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;30;30;30;30000;0;41;30;1;16;1;-2;-2;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;4;4;30000;0;19;2;2;32;0;-1;-1;0;1;0;1;0;0;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;4;5;30000;0;10;1;4;26;0;1;0;0;0;0;1;1;2;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;4;13;30000;0;9;32;1;5;0;-2;0;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;4;17;30000;0;13;32;1;22;0;-2;0;1;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;4;32;30000;0;24;4;1;6;0;-2;1;1;0;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;5;4;30000;0;34;2;2;13;0;0;0;1;1;1;1;0;0;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;5;5;30000;0;20;1;5;14;0;1;0;1;1;1;1;0;2;0;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;5;13;30000;0;10;1;5;19;0;-2;-1;0;0;1;1;1;0;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;5;17;30000;0;20;32;1;20;0;-1;1;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;5;32;30000;0;30;32;1;7;0;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;9;9;30000;0;24;3;5;26;0;-1;0;0;1;0;1;1;2;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;9;22;30000;0;25;3;6;23;0;-2;0;0;0;1;1;1;2;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;9;32;30000;0;11;5;1;4;0;0;-1;1;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;13;4;30000;0;18;32;1;30;0;0;-1;1;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;13;5;30000;0;13;1;13;32;0;0;1;0;1;0;1;1;0;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;13;13;30000;0;6;1;7;31;0;-1;-1;1;0;1;1;0;2;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;13;17;30000;0;8;32;1;25;0;-2;0;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;13;32;30000;0;35;32;1;4;1;-1;4;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;17;4;30000;0;24;32;1;13;0;1;1;0;0;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;17;5;30000;0;18;32;1;10;0;-1;-2;1;0;0;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;17;13;30000;0;25;32;1;27;0;-2;0;1;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;17;17;30000;0;25;32;1;11;0;0;0;0;0;0;1;1;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;17;32;30000;0;8;32;1;32;1;0;0;1;0;1;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;22;9;30000;0;28;32;1;11;0;-1;1;1;1;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;22;22;30000;0;36;32;1;7;1;-1;-1;0;0;0;1;1;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;22;32;30000;0;28;32;1;31;1;-2;4;1;0;1;1;1;1;1;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;32;4;30000;0;38;32;1;17;0;1;0;1;0;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;32;5;30000;0;26;32;1;22;0;1;-2;1;0;1;1;0;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;32;9;30000;0;41;32;1;2;0;0;0;1;0;1;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;32;13;30000;0;40;32;1;6;1;0;-2;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;32;17;30000;0;24;32;1;16;1;-2;0;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;32;22;30000;0;24;32;1;8;1;0;-2;1;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;32;32;32;30000;0;24;32;1;30;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;35;35;35;30000;0;10;35;1;35;1;0;0;1;0;0;1;1;1;2;1;0\nNVIDIA A100 80GB PCIe [0x1f79];3;36;36;36;30000;0;41;36;1;9;1;-1;4;1;0;1;1;1;1;0;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;40;40;40;30000;0;13;40;1;40;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;45;45;45;30000;0;35;45;1;39;45;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA A100 80GB PCIe [0x1f79];3;64;64;64;30000;0;10;64;1;9;64;1;2;0;1;0;1;0;1;0;0;0\n" }, { "path": "src/acc/opencl/smm/params/tune_multiply_BMG.csv", "content": "DEVICE;TYPEID;M;N;K;S;GFLOPS;BS;BM;BN;BK;WS;WG;LU;NZ;AL;TB;TC;AP;AA;AB;AC\nIntel(R) Graphics [0xe223];3;5;5;5;30000;0;24;5;1;1;5;1;0;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;5;13;30000;0;30;5;1;1;1;1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;5;16;30000;0;15;5;1;1;5;1;-2;0;0;0;1;0;2;2;0;0\nIntel(R) Graphics [0xe223];3;5;5;24;30000;0;17;5;1;1;1;0;1;0;0;0;1;0;2;2;0;0\nIntel(R) Graphics [0xe223];3;5;5;26;30000;0;15;5;1;1;1;0;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Graphics [0xe223];3;5;13;5;30000;0;30;5;1;1;1;-1;0;0;0;0;1;0;0;2;0;0\nIntel(R) Graphics [0xe223];3;5;13;13;30000;0;40;5;1;1;13;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;5;13;16;30000;0;30;5;1;1;13;-2;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;13;24;30000;0;31;5;1;1;13;0;1;0;0;0;1;0;2;2;0;1\nIntel(R) Graphics [0xe223];3;5;13;26;30000;0;24;5;1;4;1;-1;-1;0;0;0;1;0;1;0;0;0\nIntel(R) Graphics [0xe223];3;5;16;5;30000;0;41;5;1;1;1;0;-1;0;0;0;1;0;0;2;0;0\nIntel(R) Graphics [0xe223];3;5;16;13;30000;0;31;5;1;1;16;0;0;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;5;16;16;30000;0;30;5;1;1;16;0;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;16;24;30000;0;24;5;1;1;16;0;0;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;16;26;30000;0;46;5;1;1;16;-2;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Graphics [0xe223];3;5;24;5;30000;0;30;5;1;1;1;-1;-2;0;0;0;1;0;2;2;0;0\nIntel(R) Graphics [0xe223];3;5;24;13;30000;0;30;5;1;1;1;-2;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Graphics [0xe223];3;5;24;16;30000;0;30;5;1;1;24;-1;1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;24;24;30000;0;40;5;1;1;24;0;1;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;5;24;26;30000;0;42;5;1;1;24;-1;1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;26;5;30000;0;30;5;1;1;1;-1;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;26;13;30000;0;30;5;1;1;26;1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;5;26;16;30000;0;24;5;1;1;26;-2;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;5;26;24;30000;0;30;5;1;4;26;1;1;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;5;26;26;30000;0;30;5;1;1;26;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;6;6;6;30000;0;30;6;1;1;1;-2;0;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;9;9;9;30000;0;30;9;1;1;1;0;0;0;0;0;1;0;2;0;0;0\nIntel(R) Graphics [0xe223];3;9;9;16;30000;0;15;9;1;1;9;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;9;9;22;30000;0;40;9;1;1;9;-2;1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;9;16;9;30000;0;59;9;1;1;16;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;9;16;16;30000;0;30;9;1;7;16;-1;-1;0;0;0;1;0;0;1;0;1\nIntel(R) Graphics [0xe223];3;9;16;22;30000;0;30;9;1;1;1;-2;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;9;22;9;30000;0;30;9;1;1;22;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;9;22;16;30000;0;30;9;1;1;22;-1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Graphics [0xe223];3;9;22;22;30000;0;30;9;1;1;22;0;1;0;0;0;1;0;2;0;0;1\nIntel(R) Graphics [0xe223];3;13;5;5;30000;0;30;13;1;12;13;1;2;0;0;0;1;0;1;1;0;1\nIntel(R) Graphics [0xe223];3;13;5;13;30000;0;20;13;1;11;1;-1;2;0;0;0;1;0;1;0;0;0\nIntel(R) Graphics [0xe223];3;13;5;16;30000;0;30;13;1;3;13;-1;2;0;0;0;1;0;1;1;0;1\nIntel(R) Graphics [0xe223];3;13;5;24;30000;0;24;13;1;2;13;0;2;0;0;0;1;0;1;1;0;0\nIntel(R) Graphics [0xe223];3;13;5;26;30000;0;24;13;1;13;13;0;2;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;13;13;5;30000;0;30;13;1;1;13;-2;1;0;0;0;1;0;0;2;0;0\nIntel(R) Graphics [0xe223];3;13;13;13;30000;0;24;13;1;1;1;1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;13;13;16;30000;0;24;13;1;10;13;1;-1;0;0;0;1;0;1;0;0;0\nIntel(R) Graphics [0xe223];3;13;13;24;30000;0;30;13;1;1;13;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;13;13;26;30000;0;41;13;1;1;13;-1;1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;13;16;5;30000;0;40;13;1;3;16;0;1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;13;16;13;30000;0;30;13;1;12;16;1;1;0;0;0;1;0;2;1;0;0\nIntel(R) Graphics [0xe223];3;13;16;16;30000;0;31;13;1;11;16;-2;-2;0;0;0;1;0;1;0;0;0\nIntel(R) Graphics [0xe223];3;13;16;24;30000;0;31;13;1;7;16;0;0;0;0;0;1;0;1;0;0;0\nIntel(R) Graphics [0xe223];3;13;16;26;30000;0;25;13;1;7;16;-1;-1;0;0;0;1;0;1;2;0;0\nIntel(R) Graphics [0xe223];3;13;24;5;30000;0;40;13;1;1;24;-2;1;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;13;24;13;30000;0;30;13;1;7;24;1;0;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;13;24;16;30000;0;47;13;1;1;24;0;-2;0;0;0;1;0;0;1;0;0\nIntel(R) Graphics [0xe223];3;13;24;24;30000;0;30;13;1;1;24;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Graphics [0xe223];3;13;24;26;30000;0;15;13;1;1;24;0;0;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;13;26;5;30000;0;30;13;1;1;26;0;0;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;13;26;13;30000;0;30;13;1;1;26;0;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Graphics [0xe223];3;13;26;16;30000;0;49;13;1;10;26;0;-2;0;0;0;1;0;2;1;0;0\nIntel(R) Graphics [0xe223];3;13;26;24;30000;0;30;13;1;10;26;-2;0;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;13;26;26;30000;0;40;13;1;1;26;-1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Graphics [0xe223];3;14;14;14;30000;0;40;14;1;1;14;-1;-2;0;0;0;1;0;0;2;0;0\nIntel(R) Graphics [0xe223];3;14;14;16;30000;0;40;14;1;1;14;-1;0;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;14;14;29;30000;0;30;14;1;1;14;-2;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;14;16;14;30000;0;42;14;1;2;16;-1;0;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;14;16;16;30000;0;40;14;1;12;16;1;0;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;14;16;29;30000;0;15;14;1;1;16;-1;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;14;29;14;30000;0;30;14;1;6;29;-1;1;0;0;0;1;0;1;2;0;1\nIntel(R) Graphics [0xe223];3;14;29;16;30000;0;30;14;1;4;29;-2;0;0;0;0;1;0;1;2;0;1\nIntel(R) Graphics [0xe223];3;14;29;29;30000;0;15;14;1;1;29;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;16;5;5;30000;0;30;16;1;14;16;-1;2;0;0;0;1;0;0;2;0;0\nIntel(R) Graphics [0xe223];3;16;5;13;30000;0;30;16;1;16;16;-2;2;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;16;5;16;30000;0;40;16;1;15;16;-1;2;0;0;0;1;0;1;2;0;1\nIntel(R) Graphics [0xe223];3;16;5;24;30000;0;15;16;1;9;1;-2;2;0;0;0;1;0;0;1;0;0\nIntel(R) Graphics [0xe223];3;16;5;26;30000;0;25;16;1;4;16;0;2;0;0;0;1;0;0;2;0;0\nIntel(R) Graphics [0xe223];3;16;9;9;30000;0;30;16;1;10;16;0;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Graphics [0xe223];3;16;9;16;30000;0;30;16;1;10;16;-2;-2;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;16;9;22;30000;0;15;16;1;1;16;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;16;13;5;30000;0;24;16;1;15;1;1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Graphics [0xe223];3;16;13;13;30000;0;24;16;1;8;16;-1;0;0;0;0;1;0;1;2;0;0\nIntel(R) Graphics [0xe223];3;16;13;16;30000;0;17;16;1;5;16;0;1;0;0;0;1;0;0;1;0;0\nIntel(R) Graphics [0xe223];3;16;13;24;30000;0;24;16;1;1;16;1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Graphics [0xe223];3;16;13;26;30000;0;60;16;1;12;16;-2;1;0;0;0;1;0;1;0;0;0\nIntel(R) Graphics [0xe223];3;16;14;14;30000;0;31;16;1;1;16;-2;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;16;14;16;30000;0;40;16;1;14;16;-1;0;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;16;14;29;30000;0;15;16;1;1;16;-2;0;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;16;16;5;30000;0;30;16;1;1;1;1;0;0;0;0;1;0;0;2;0;0\nIntel(R) Graphics [0xe223];3;16;16;9;30000;0;30;16;1;1;16;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;16;16;13;30000;0;30;16;1;12;16;-2;1;0;0;0;1;0;1;2;0;0\nIntel(R) Graphics [0xe223];3;16;16;14;30000;0;40;16;1;1;16;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;16;16;16;30000;0;15;16;1;1;16;-2;0;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;16;16;22;30000;0;15;16;1;1;1;-2;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Graphics [0xe223];3;16;16;24;30000;0;24;16;1;9;16;-2;0;0;0;0;1;0;1;2;0;0\nIntel(R) Graphics [0xe223];3;16;16;26;30000;0;60;16;1;5;16;0;-1;0;0;0;1;0;1;0;0;0\nIntel(R) Graphics [0xe223];3;16;16;29;30000;0;60;16;1;1;16;-2;0;0;0;0;1;0;0;2;0;0\nIntel(R) Graphics [0xe223];3;16;16;55;30000;0;30;16;1;1;16;1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Graphics [0xe223];3;16;22;9;30000;0;59;16;1;5;22;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;16;22;16;30000;0;40;16;1;14;22;1;-2;0;0;0;1;0;1;0;0;1\nIntel(R) Graphics [0xe223];3;16;22;22;30000;0;15;16;1;1;22;0;1;0;0;0;1;0;0;0;0;1\nIntel(R) Graphics [0xe223];3;23;23;23;30000;0;15;23;1;1;1;1;1;0;0;0;1;0;0;0;0;0\n" }, { "path": "src/acc/opencl/smm/params/tune_multiply_GH200.csv", "content": "DEVICE;TYPEID;M;N;K;S;GFLOPS;BS;BM;BN;BK;WS;WG;LU;NZ;AL;TB;TC;AP;AA;AB;AC\nNVIDIA GH200 480GB [0x3528];3;1;1;1;30000;0;9;1;1;1;1;-2;-2;0;0;0;1;0;2;1;0;0\nNVIDIA GH200 480GB [0x3528];3;2;2;2;30000;0;11;2;1;2;2;0;0;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;3;3;3;30000;0;12;3;1;2;3;1;0;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;4;30000;0;16;4;1;1;4;0;0;0;1;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;5;30000;0;11;4;1;2;4;-1;-1;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;7;30000;0;12;4;1;3;4;-2;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;9;30000;0;12;4;1;4;4;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;10;30000;0;5;4;1;4;4;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;13;30000;0;4;4;1;3;4;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;15;30000;0;4;4;1;3;4;0;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;17;30000;0;4;4;1;4;4;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;25;30000;0;19;4;1;3;4;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;26;30000;0;3;4;1;2;4;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;28;30000;0;3;4;1;2;4;-1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;4;32;30000;0;3;4;1;2;4;-2;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;5;4;30000;0;10;4;1;1;5;-2;-2;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;5;5;30000;0;11;4;1;3;5;1;-2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;5;7;30000;0;13;4;1;4;5;1;-1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;5;9;30000;0;13;4;1;2;5;1;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;5;13;30000;0;5;4;1;2;5;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;5;17;30000;0;4;4;1;4;5;-1;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;5;25;30000;0;12;4;1;2;5;-1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;5;32;30000;0;3;4;1;4;5;-1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;7;4;30000;0;10;4;1;2;7;-1;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;7;5;30000;0;11;4;1;3;7;0;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;7;7;30000;0;13;4;1;2;7;0;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;7;9;30000;0;5;4;1;4;7;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;7;13;30000;0;4;4;1;4;7;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;9;4;30000;0;11;4;1;2;9;-2;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;9;5;30000;0;11;4;1;2;9;-2;1;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;9;7;30000;0;13;4;1;4;9;0;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;9;9;30000;0;10;4;1;2;9;-2;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;9;13;30000;0;5;4;1;4;9;-2;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;10;4;30000;0;12;4;1;4;10;0;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;10;10;30000;0;10;4;1;4;10;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;13;4;30000;0;11;4;1;2;13;-1;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;13;5;30000;0;11;4;1;2;13;-2;0;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;13;7;30000;0;15;4;1;1;1;0;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;13;9;30000;0;10;4;1;2;1;0;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;13;13;30000;0;12;4;1;4;1;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;13;17;30000;0;10;4;1;4;1;-2;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;13;32;30000;0;12;4;1;2;1;-1;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;15;4;30000;0;11;4;1;2;1;-1;0;0;1;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;17;4;30000;0;16;4;1;3;1;1;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;17;5;30000;0;13;4;1;2;1;0;-1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;17;13;30000;0;14;4;1;2;1;-1;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;17;17;30000;0;9;4;1;4;1;-1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;17;32;30000;0;12;4;1;4;1;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;25;4;30000;0;14;4;1;3;1;0;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;25;5;30000;0;14;4;1;2;25;-2;1;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;26;4;30000;0;13;4;1;2;1;-1;1;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;28;4;30000;0;14;4;1;3;1;-1;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;32;4;30000;0;18;4;1;1;1;0;-2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;4;32;5;30000;0;14;4;1;1;1;-1;0;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;32;13;30000;0;11;4;1;2;1;1;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;32;17;30000;0;8;4;1;2;1;0;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;4;32;32;30000;0;13;4;1;4;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;4;4;30000;0;14;5;1;2;1;-1;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;4;5;30000;0;13;5;1;4;1;-2;-1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;4;7;30000;0;13;5;1;2;1;0;-2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;4;9;30000;0;11;5;1;1;1;-2;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;4;13;30000;0;12;5;1;4;5;-1;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;4;17;30000;0;12;5;1;2;5;1;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;4;25;30000;0;12;5;1;4;5;0;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;4;32;30000;0;12;5;1;2;5;-1;1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;4;30000;0;11;5;1;1;1;1;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;5;30000;0;12;5;1;4;1;1;-2;0;1;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;7;30000;0;12;5;1;3;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;9;30000;0;12;5;1;2;1;-2;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;13;30000;0;5;5;1;4;1;-2;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;16;30000;0;8;5;1;2;5;1;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;17;30000;0;4;5;1;4;1;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;24;30000;0;10;5;1;4;5;-1;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;26;30000;0;12;5;1;5;5;-1;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;28;30000;0;19;5;1;3;5;-1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;5;32;30000;0;3;5;1;3;1;1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;7;4;30000;0;15;5;1;2;1;-2;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;7;5;30000;0;13;5;1;4;1;-2;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;7;7;30000;0;10;5;1;2;1;-1;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;7;9;30000;0;10;5;1;2;1;0;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;7;13;30000;0;10;5;1;3;1;-1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;9;4;30000;0;11;5;1;5;1;-1;0;0;1;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;9;5;30000;0;13;5;1;1;1;1;-2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;9;7;30000;0;9;5;1;2;1;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;9;9;30000;0;10;5;1;2;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;4;30000;0;13;5;1;2;1;-1;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;5;30000;0;13;5;1;1;1;0;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;7;30000;0;8;5;1;3;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;13;30000;0;10;5;1;2;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;16;30000;0;10;5;1;1;13;-1;-1;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;17;30000;0;12;5;1;2;1;0;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;24;30000;0;8;5;1;5;13;0;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;26;30000;0;14;5;1;3;13;-2;-1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;28;30000;0;5;5;1;2;13;-2;-1;0;1;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;13;32;30000;0;4;5;1;5;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;16;5;30000;0;11;5;1;2;16;-2;1;0;1;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;16;13;30000;0;11;5;1;4;16;-2;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;16;16;30000;0;11;5;1;2;16;1;0;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;16;24;30000;0;8;5;1;5;16;0;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;16;26;30000;0;8;5;1;2;16;0;1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;17;4;30000;0;14;5;1;2;1;0;0;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;17;5;30000;0;13;5;1;5;1;-2;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;17;13;30000;0;10;5;1;2;1;-2;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;17;17;30000;0;16;5;1;2;1;-2;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;17;32;30000;0;10;5;1;2;1;-1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;24;5;30000;0;16;5;1;1;24;-2;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;24;13;30000;0;10;5;1;3;24;-2;-1;0;1;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;24;16;30000;0;8;5;1;5;24;1;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;24;24;30000;0;8;5;1;2;24;0;1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;24;26;30000;0;12;5;1;4;24;-2;1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;25;4;30000;0;18;5;1;2;1;-2;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;26;5;30000;0;17;5;1;1;26;-2;-1;0;1;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;26;13;30000;0;14;5;1;2;26;-2;-1;0;1;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;26;16;30000;0;8;5;1;5;26;-2;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;26;24;30000;0;8;5;1;5;26;0;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;26;26;30000;0;8;5;1;2;26;-2;1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;32;4;30000;0;15;5;1;2;1;1;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;5;32;5;30000;0;13;5;1;1;1;0;-1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;32;13;30000;0;11;5;1;4;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;32;17;30000;0;11;5;1;5;1;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;5;32;32;30000;0;12;5;1;4;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;6;6;6;30000;0;10;6;1;2;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;6;6;7;30000;0;12;6;1;6;1;-1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;6;6;8;30000;0;12;6;1;3;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;6;7;6;30000;0;10;6;1;4;1;1;-2;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;6;7;7;30000;0;10;6;1;2;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;6;7;8;30000;0;10;6;1;3;1;-2;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;6;8;6;30000;0;9;6;1;2;1;-2;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;6;8;7;30000;0;10;6;1;6;1;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;6;8;8;30000;0;10;6;1;2;1;0;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;4;4;30000;0;13;7;1;2;1;1;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;4;5;30000;0;13;7;1;4;1;-2;0;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;4;7;30000;0;13;7;1;2;1;-2;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;4;9;30000;0;11;7;1;3;1;-1;2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;4;13;30000;0;12;7;1;7;7;0;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;5;4;30000;0;12;7;1;3;1;-2;-1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;5;5;30000;0;11;7;1;3;1;0;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;5;7;30000;0;12;7;1;4;7;-2;0;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;5;9;30000;0;12;7;1;3;1;-2;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;5;13;30000;0;12;7;1;3;1;-1;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;6;6;30000;0;11;7;1;4;1;0;-2;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;6;7;30000;0;12;7;1;3;1;-1;2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;6;8;30000;0;12;7;1;2;1;1;-2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;7;4;30000;0;15;7;1;4;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;7;5;30000;0;12;7;1;5;1;-2;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;7;6;30000;0;10;7;1;4;1;-2;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;7;7;30000;0;10;7;1;6;1;0;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;7;8;30000;0;12;7;1;5;1;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;7;9;30000;0;10;7;1;4;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;7;13;30000;0;12;7;1;7;1;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;8;6;30000;0;10;7;1;2;1;-2;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;8;7;30000;0;12;7;1;3;1;0;4;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;8;8;30000;0;10;7;1;7;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;9;4;30000;0;14;7;1;1;1;-2;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;9;5;30000;0;10;7;1;4;1;-1;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;9;7;30000;0;12;7;1;5;1;1;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;13;4;30000;0;14;7;1;4;1;1;-1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;13;5;30000;0;13;7;1;5;1;-1;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;7;13;7;30000;0;12;7;1;4;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;7;13;13;30000;0;10;7;1;6;1;-2;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;8;6;6;30000;0;11;8;1;7;1;1;0;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;8;6;7;30000;0;12;8;1;6;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;8;6;8;30000;0;11;8;1;1;1;-1;-2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;8;7;6;30000;0;12;8;1;7;1;-1;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;8;7;7;30000;0;12;8;1;7;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;8;7;8;30000;0;11;8;1;1;1;-1;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;8;8;6;30000;0;10;8;1;2;1;0;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;8;8;7;30000;0;12;8;1;2;1;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;8;8;8;30000;0;12;8;1;2;1;-2;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;4;4;30000;0;13;9;1;2;1;0;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;4;5;30000;0;13;9;1;7;1;0;0;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;4;7;30000;0;12;9;1;7;1;-2;0;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;4;9;30000;0;10;8;1;7;9;1;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;4;13;30000;0;12;9;1;9;9;-1;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;5;4;30000;0;11;9;1;4;1;-2;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;5;5;30000;0;13;9;1;9;1;0;0;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;5;7;30000;0;10;8;1;2;9;1;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;5;9;30000;0;5;9;1;8;1;1;2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;7;4;30000;0;12;9;1;2;1;-2;-1;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;7;5;30000;0;8;8;1;9;1;1;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;7;7;30000;0;10;8;1;3;1;-1;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;9;4;30000;0;17;9;1;7;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;9;5;30000;0;17;9;1;4;1;-2;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;9;9;30000;0;12;9;1;4;1;-2;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;9;16;30000;0;19;9;1;8;1;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;9;22;30000;0;12;8;1;7;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;9;32;30000;0;6;9;1;8;1;-2;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;13;4;30000;0;13;9;1;2;1;-2;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;16;9;30000;0;16;9;1;7;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;16;16;30000;0;10;8;1;2;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;16;22;30000;0;6;8;1;2;1;-2;2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;22;9;30000;0;16;9;1;7;1;0;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;22;16;30000;0;12;9;1;5;1;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;22;22;30000;0;15;9;1;8;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;22;32;30000;0;15;9;1;7;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;32;9;30000;0;16;9;1;6;32;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;9;32;22;30000;0;15;9;1;9;32;-1;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;9;32;32;30000;0;12;9;1;2;32;0;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;10;4;4;30000;0;8;8;1;5;1;0;1;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;10;4;10;30000;0;10;8;1;3;10;0;3;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;10;10;4;30000;0;17;10;1;7;1;0;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;10;10;10;30000;0;12;10;1;7;1;1;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;4;4;30000;0;8;8;1;7;1;1;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;4;5;30000;0;8;8;1;2;13;-1;2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;4;7;30000;0;10;8;1;2;1;0;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;4;9;30000;0;9;8;1;10;13;0;2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;4;13;30000;0;6;8;1;9;13;-2;6;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;4;17;30000;0;5;8;1;7;13;0;4;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;4;32;30000;0;12;8;1;13;1;0;2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;4;30000;0;8;8;1;8;1;-2;3;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;5;30000;0;8;8;1;3;1;1;2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;7;30000;0;9;8;1;10;1;0;0;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;13;30000;0;9;8;1;5;13;1;-2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;16;30000;0;8;13;1;11;13;1;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;17;30000;0;12;8;1;7;1;-1;-1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;24;30000;0;6;13;1;12;13;-2;2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;26;30000;0;6;13;1;13;13;-2;2;0;1;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;28;30000;0;3;13;1;3;13;-2;2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;5;32;30000;0;3;8;1;3;1;0;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;7;4;30000;0;11;8;1;4;1;1;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;7;5;30000;0;9;8;1;4;1;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;7;7;30000;0;13;8;1;13;1;-2;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;7;13;30000;0;12;8;1;4;1;0;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;9;4;30000;0;12;8;1;11;1;1;2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;4;30000;0;17;13;1;11;1;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;5;30000;0;17;13;1;9;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;7;30000;0;16;13;1;4;13;-2;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;13;30000;0;12;13;1;6;1;-1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;16;30000;0;10;13;1;11;13;1;2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;17;30000;0;15;13;1;10;1;1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;24;30000;0;13;13;1;9;13;-2;2;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;26;30000;0;18;13;1;7;13;-2;2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;28;30000;0;19;13;1;13;13;-1;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;13;32;30000;0;19;13;1;9;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;16;5;30000;0;13;13;1;12;16;1;0;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;16;13;30000;0;10;13;1;9;16;1;-2;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;16;16;30000;0;8;13;1;13;16;0;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;16;24;30000;0;21;13;1;13;16;-2;2;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;16;26;30000;0;15;8;1;13;16;0;2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;17;4;30000;0;17;13;1;10;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;17;5;30000;0;17;13;1;6;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;17;13;30000;0;16;13;1;6;1;1;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;17;17;30000;0;15;13;1;3;1;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;17;32;30000;0;20;13;1;3;1;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;24;5;30000;0;14;13;1;9;24;0;2;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;24;13;30000;0;8;13;1;9;24;-1;-2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;24;16;30000;0;8;13;1;10;24;0;0;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;24;24;30000;0;16;13;1;6;24;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;24;26;30000;0;30;13;1;4;24;-2;2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;26;5;30000;0;16;13;1;12;26;-2;2;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;26;13;30000;0;17;13;1;2;26;0;2;0;1;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;26;16;30000;0;8;13;1;13;26;0;-1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;26;24;30000;0;15;13;1;2;26;-1;1;0;1;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;26;26;30000;0;8;13;1;9;26;0;0;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;32;4;30000;0;21;8;1;13;1;1;2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;32;5;30000;0;17;13;1;5;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;32;13;30000;0;18;13;1;2;1;-1;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;13;32;17;30000;0;19;8;1;4;1;0;3;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;13;32;32;30000;0;15;13;1;11;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;14;14;14;30000;0;16;14;1;14;14;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;14;14;16;30000;0;14;14;1;11;14;1;2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;14;14;29;30000;0;9;14;1;4;14;0;2;0;1;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;14;14;55;30000;0;20;14;1;7;14;-1;2;0;1;0;1;0;1;1;0;0\nNVIDIA GH200 480GB [0x3528];3;14;16;14;30000;0;8;14;1;13;16;0;-2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;14;16;16;30000;0;12;14;1;9;16;-1;2;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;14;16;29;30000;0;9;14;1;11;16;0;2;0;1;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;14;29;14;30000;0;19;8;1;14;29;-1;-1;0;1;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;14;55;14;30000;0;26;14;1;7;55;-2;1;0;1;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;14;55;55;30000;0;60;14;1;10;55;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;15;4;4;30000;0;8;8;1;3;1;1;2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;15;15;15;30000;0;21;15;1;10;1;-1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;16;9;9;30000;0;12;8;1;16;1;-2;3;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;9;16;30000;0;10;8;1;14;16;1;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;9;22;30000;0;12;8;1;14;16;-2;0;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;16;16;9;30000;0;16;8;1;3;1;0;2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;16;16;30000;0;12;8;1;13;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;16;22;30000;0;21;16;1;13;1;-2;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;16;55;30000;0;30;8;1;2;16;1;2;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;22;9;30000;0;16;16;1;8;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;22;16;30000;0;20;16;1;14;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;22;22;30000;0;15;16;1;9;1;0;0;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;29;55;30000;0;38;8;1;13;29;0;-2;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;55;16;30000;0;23;16;1;6;55;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;55;29;30000;0;60;8;1;9;55;0;2;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;16;55;55;30000;0;5;8;1;5;55;-2;0;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;4;4;30000;0;8;8;1;9;1;-2;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;4;5;30000;0;10;8;1;14;1;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;4;13;30000;0;5;8;1;3;17;0;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;4;17;30000;0;12;8;1;14;17;0;-2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;4;32;30000;0;3;8;1;2;17;-1;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;5;4;30000;0;8;8;1;15;1;1;2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;5;5;30000;0;8;8;1;15;17;-2;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;5;13;30000;0;10;8;1;7;17;0;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;5;17;30000;0;12;8;1;9;17;-2;-1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;5;32;30000;0;16;8;1;2;17;-1;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;13;4;30000;0;14;17;1;11;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;13;5;30000;0;13;17;1;5;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;13;13;30000;0;19;8;1;16;1;-1;2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;13;17;30000;0;17;17;1;7;1;1;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;13;32;30000;0;19;17;1;16;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;17;4;30000;0;23;17;1;7;1;-2;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;17;5;30000;0;23;17;1;15;1;-1;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;17;13;30000;0;21;17;1;8;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;17;17;30000;0;16;17;1;9;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;17;32;30000;0;5;17;1;3;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;32;4;30000;0;23;17;1;11;1;-2;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;32;5;30000;0;22;17;1;6;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;32;13;30000;0;15;17;1;9;1;-2;-1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;17;32;17;30000;0;15;17;1;13;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;17;32;32;30000;0;20;17;1;17;1;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;20;20;20;30000;0;19;20;1;8;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;9;9;30000;0;10;8;1;9;1;0;3;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;22;9;16;30000;0;10;8;1;21;1;-1;1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;9;22;30000;0;12;8;1;6;22;1;0;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;9;32;30000;0;20;8;1;20;22;0;1;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;16;9;30000;0;19;8;1;5;1;-2;4;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;16;16;30000;0;19;8;1;15;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;16;22;30000;0;12;8;1;3;1;0;2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;22;9;30000;0;23;22;1;17;1;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;22;22;16;30000;0;20;22;1;5;1;1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;22;22;30000;0;23;22;1;14;1;-1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;22;32;30000;0;30;22;1;7;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;32;9;30000;0;17;22;1;20;32;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;32;22;30000;0;20;22;1;9;32;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;22;32;32;30000;0;40;8;1;3;32;-1;3;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;23;23;23;30000;0;20;23;1;17;23;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;24;24;24;30000;0;20;24;1;16;1;-2;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;24;24;26;30000;0;30;8;1;18;24;1;2;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;24;26;24;30000;0;19;8;1;24;26;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;24;26;26;30000;0;30;24;1;2;26;-1;1;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;25;4;4;30000;0;8;8;1;13;25;0;-2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;25;4;5;30000;0;8;8;1;18;25;0;5;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;25;5;4;30000;0;8;8;1;21;1;-2;1;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;25;25;25;30000;0;24;25;1;21;1;-1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;26;4;4;30000;0;10;8;1;6;26;-1;3;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;26;24;24;30000;0;11;8;1;2;26;-2;-2;0;1;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;26;24;26;30000;0;46;8;1;14;26;-1;0;0;1;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;26;26;24;30000;0;29;26;1;12;26;-1;0;0;1;0;1;0;1;1;0;0\nNVIDIA GH200 480GB [0x3528];3;26;26;26;30000;0;32;8;1;22;26;-1;2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;28;4;4;30000;0;11;8;1;12;1;-1;5;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;28;28;28;30000;0;6;16;1;8;1;-2;2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;29;16;55;30000;0;21;16;1;15;29;0;2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;29;29;29;30000;0;46;8;1;2;29;-2;-2;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;29;29;55;30000;0;19;16;1;24;29;-2;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;29;55;16;30000;0;58;8;1;26;55;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;29;55;29;30000;0;19;8;1;25;55;-2;4;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;29;55;55;30000;0;13;29;1;8;55;0;0;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;30;30;30;30000;0;30;30;1;11;1;0;-2;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;32;4;4;30000;0;11;8;1;15;32;-1;-2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;32;4;5;30000;0;11;8;1;16;32;1;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;4;13;30000;0;10;8;1;1;32;1;0;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;32;4;17;30000;0;12;8;1;9;32;1;0;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;4;32;30000;0;6;8;1;21;32;1;4;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;5;4;30000;0;14;8;1;14;1;1;-2;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;32;5;5;30000;0;15;8;1;10;1;-2;-2;0;0;0;1;0;2;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;5;13;30000;0;10;8;1;31;32;1;-2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;5;17;30000;0;12;8;1;3;32;0;4;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;5;32;30000;0;15;8;1;25;32;0;0;0;0;0;1;0;2;0;0;0\nNVIDIA GH200 480GB [0x3528];3;32;13;4;30000;0;23;8;1;4;1;-1;-2;0;0;0;1;0;0;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;13;5;30000;0;23;8;1;4;1;-1;-2;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;32;13;13;30000;0;20;8;1;18;1;-1;5;0;0;0;1;0;0;0;0;0\nNVIDIA GH200 480GB [0x3528];3;32;13;17;30000;0;30;8;1;5;1;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;13;32;30000;0;13;8;1;16;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;17;4;30000;0;23;32;1;17;1;-1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;17;5;30000;0;18;32;1;14;1;-1;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;17;13;30000;0;20;32;1;11;1;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;17;17;30000;0;20;32;1;4;1;-2;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;17;32;30000;0;10;8;1;23;1;1;4;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;32;4;30000;0;26;32;1;4;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;32;5;30000;0;29;32;1;11;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;32;9;30000;0;23;32;1;21;32;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;32;13;30000;0;30;32;1;6;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;32;17;30000;0;23;32;1;22;1;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;32;22;30000;0;20;32;1;27;32;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;32;32;32;30000;0;30;32;1;6;32;0;-1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;35;35;35;30000;0;57;24;1;17;1;0;2;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;36;36;36;30000;0;15;16;1;23;1;0;1;0;1;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;40;40;40;30000;0;57;16;1;6;1;-1;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;55;14;14;30000;0;23;55;1;29;55;-1;4;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;55;14;55;30000;0;8;55;1;2;55;1;7;0;0;0;1;0;1;1;0;0\nNVIDIA GH200 480GB [0x3528];3;55;16;16;30000;0;30;16;1;45;55;-2;-2;0;1;0;1;0;1;1;0;0\nNVIDIA GH200 480GB [0x3528];3;55;16;29;30000;0;46;16;1;18;55;1;7;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;55;16;55;30000;0;19;8;1;38;55;0;7;0;0;0;1;0;1;1;0;0\nNVIDIA GH200 480GB [0x3528];3;55;29;16;30000;0;29;8;1;35;55;0;-1;0;1;0;1;0;1;1;0;0\nNVIDIA GH200 480GB [0x3528];3;55;29;29;30000;0;57;8;1;45;55;-2;-2;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;55;29;55;30000;0;7;16;1;17;55;-1;1;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;55;55;14;30000;0;26;55;1;15;55;-2;4;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;55;55;16;30000;0;38;16;1;16;55;0;3;0;1;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;55;55;29;30000;0;23;55;1;17;55;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;55;55;55;30000;0;13;55;1;5;55;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA GH200 480GB [0x3528];3;64;64;64;30000;0;5;64;1;18;64;0;6;0;0;0;1;0;1;0;0;0\nNVIDIA GH200 480GB [0x3528];3;78;78;78;30000;0;61;78;1;6;78;-2;0;0;1;0;1;0;1;2;0;0\n" }, { "path": "src/acc/opencl/smm/params/tune_multiply_H100.csv", "content": "DEVICE;TYPEID;M;N;K;S;GFLOPS;BS;BM;BN;BK;WS;WG;LU;NZ;AL;TB;TC;AP;AA;AB;AC\nNVIDIA H100 PCIe [0xa32d];3;2;2;2;30000;0;11;2;1;1;1;-2;0;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;3;3;3;30000;0;14;3;1;3;1;-1;-1;0;1;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;4;30000;0;17;4;1;4;1;1;-1;0;1;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;5;30000;0;14;4;1;1;1;1;-1;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;7;30000;0;16;4;1;1;1;-2;-2;1;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;9;30000;0;6;4;1;2;1;0;-2;0;1;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;10;30000;0;5;4;1;4;1;-1;0;1;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;13;30000;0;6;4;1;4;1;-1;-2;1;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;15;30000;0;14;4;1;4;1;-1;-1;0;0;0;0;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;17;30000;0;6;4;1;2;1;1;-2;0;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;25;30000;0;6;4;1;2;1;-1;1;1;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;26;30000;0;6;4;1;4;1;-1;0;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;28;30000;0;6;4;1;4;1;0;0;0;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;4;32;30000;0;6;4;1;4;1;-1;-2;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;5;4;30000;0;15;4;1;2;1;-2;-1;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;5;5;30000;0;14;4;1;3;1;-2;-1;1;1;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;5;7;30000;0;15;4;1;1;1;0;0;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;5;9;30000;0;12;4;1;1;1;-1;0;1;1;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;5;13;30000;0;6;4;1;4;1;0;-2;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;5;17;30000;0;6;4;1;3;1;1;-2;0;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;5;25;30000;0;6;4;1;4;1;0;2;1;0;0;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;5;32;30000;0;3;4;1;3;1;0;0;1;1;0;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;7;4;30000;0;17;4;1;2;1;-1;0;0;1;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;7;5;30000;0;14;4;1;4;1;1;0;1;1;1;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;7;7;30000;0;15;4;1;1;1;-1;0;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;7;9;30000;0;15;4;1;2;1;0;-2;0;1;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;7;13;30000;0;14;4;1;2;1;0;0;0;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;9;4;30000;0;15;4;1;2;1;-2;-2;0;1;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;9;5;30000;0;12;4;1;2;1;-2;-1;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;9;7;30000;0;15;4;1;2;1;-2;0;1;1;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;9;9;30000;0;12;4;1;3;1;1;-1;0;0;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;9;13;30000;0;6;4;1;2;1;-2;-1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;10;4;30000;0;18;4;1;4;1;-2;-1;0;1;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;10;10;30000;0;11;4;1;3;1;1;-2;1;0;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;13;4;30000;0;17;4;1;3;1;0;-1;0;0;1;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;13;5;30000;0;15;4;1;3;1;-2;0;1;0;1;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;13;7;30000;0;14;4;1;2;1;-1;2;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;13;9;30000;0;14;4;1;4;1;-2;0;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;13;13;30000;0;6;4;1;3;1;1;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;13;17;30000;0;6;4;1;4;1;-1;0;0;0;1;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;13;32;30000;0;12;4;1;2;1;-1;1;1;0;0;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;15;4;30000;0;19;4;1;2;1;1;1;0;1;1;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;17;4;30000;0;17;4;1;3;1;-2;-2;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;17;5;30000;0;18;4;1;3;1;-2;-1;0;1;0;1;1;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;17;13;30000;0;14;4;1;2;1;1;2;1;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;17;17;30000;0;12;4;1;4;1;-2;-2;0;0;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;17;32;30000;0;15;4;1;2;1;-1;-2;1;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;25;4;30000;0;17;4;1;1;1;1;0;1;0;1;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;25;5;30000;0;14;4;1;4;25;0;0;0;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;26;4;30000;0;19;4;1;1;1;0;-1;1;0;1;1;1;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;28;4;30000;0;20;4;1;3;1;-1;-1;0;1;1;1;1;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;32;4;30000;0;19;4;1;1;1;0;-2;1;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;32;5;30000;0;18;4;1;1;1;0;-2;0;1;1;1;1;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;32;13;30000;0;12;4;1;2;1;-1;1;0;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;4;32;17;30000;0;12;4;1;2;1;0;4;0;0;0;1;1;1;0;1;0\nNVIDIA H100 PCIe [0xa32d];3;4;32;32;30000;0;15;4;1;4;1;0;1;0;0;0;1;0;1;2;1;0\nNVIDIA H100 PCIe [0xa32d];3;5;4;4;30000;0;17;5;1;3;1;-2;-1;1;0;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;4;5;30000;0;14;5;1;2;1;-1;1;0;0;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;4;7;30000;0;14;5;1;2;1;-1;-1;1;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;4;9;30000;0;14;5;1;4;1;1;0;0;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;4;13;30000;0;11;5;1;2;5;0;-2;0;1;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;4;17;30000;0;11;5;1;2;5;0;3;0;0;0;0;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;4;25;30000;0;15;5;1;5;5;0;0;0;1;1;0;1;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;4;32;30000;0;12;5;1;5;5;-1;0;0;0;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;5;4;30000;0;15;5;1;2;1;1;-2;0;1;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;5;5;30000;0;14;5;1;5;1;1;-2;0;0;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;5;7;30000;0;6;5;1;5;1;0;-2;1;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;5;9;30000;0;5;5;1;2;1;0;-2;1;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;5;13;30000;0;5;5;1;4;1;1;-2;1;1;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;5;17;30000;0;6;5;1;5;1;-2;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;5;32;30000;0;6;5;1;4;1;-2;0;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;7;4;30000;0;16;5;1;2;1;0;-1;0;0;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;7;5;30000;0;14;5;1;3;1;-2;-2;0;1;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;7;7;30000;0;5;5;1;4;1;-2;-1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;7;9;30000;0;12;5;1;2;1;-2;0;0;1;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;7;13;30000;0;6;5;1;5;1;-2;-1;0;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;9;4;30000;0;18;5;1;2;1;-1;4;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;9;5;30000;0;14;5;1;3;1;-1;0;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;9;7;30000;0;14;5;1;1;1;1;0;0;0;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;9;9;30000;0;10;5;1;2;1;1;2;0;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;13;4;30000;0;21;5;1;2;1;-1;-1;0;1;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;13;5;30000;0;15;5;1;1;1;1;-1;0;0;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;13;7;30000;0;14;5;1;1;1;0;-2;1;0;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;13;13;30000;0;10;5;1;4;1;1;0;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;13;17;30000;0;10;5;1;4;1;-2;0;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;13;32;30000;0;5;5;1;5;1;-1;-2;0;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;17;4;30000;0;17;5;1;4;1;-1;-2;1;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;17;5;30000;0;16;5;1;4;1;1;0;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;17;13;30000;0;10;5;1;4;1;-1;-1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;17;17;30000;0;11;5;1;3;1;-1;-1;0;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;17;32;30000;0;10;5;1;4;1;1;-2;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;25;4;30000;0;21;5;1;3;1;-1;0;1;0;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;32;4;30000;0;19;5;1;2;1;-2;1;1;0;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;32;5;30000;0;18;5;1;4;1;-2;-2;1;0;1;1;1;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;32;13;30000;0;12;5;1;3;1;0;-1;1;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;32;17;30000;0;12;5;1;3;1;0;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;5;32;32;30000;0;15;5;1;5;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;6;6;30000;0;6;6;1;5;1;1;0;0;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;6;7;30000;0;11;6;1;2;1;-1;-2;0;1;1;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;6;8;30000;0;10;6;1;3;1;0;1;1;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;7;6;30000;0;6;6;1;5;1;1;0;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;7;7;30000;0;10;6;1;3;1;-2;-1;0;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;7;8;30000;0;15;6;1;6;1;-2;-1;0;1;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;8;6;30000;0;10;6;1;3;1;1;-1;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;8;7;30000;0;10;6;1;5;1;1;0;0;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;6;8;8;30000;0;6;6;1;3;1;-1;-1;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;4;4;30000;0;15;7;1;1;1;0;0;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;4;5;30000;0;11;7;1;2;1;0;3;0;1;1;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;4;7;30000;0;14;7;1;7;1;-2;-1;0;0;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;4;9;30000;0;11;7;1;3;1;1;2;0;1;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;4;13;30000;0;11;7;1;6;7;0;-2;0;1;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;5;4;30000;0;15;7;1;1;1;-1;-2;0;1;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;5;5;30000;0;11;7;1;1;1;-2;0;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;5;7;30000;0;14;7;1;4;7;0;0;0;0;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;5;9;30000;0;11;7;1;2;1;1;-1;0;0;1;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;5;13;30000;0;12;7;1;2;1;1;-2;0;0;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;6;6;30000;0;15;7;1;2;1;-2;0;0;1;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;6;7;30000;0;15;7;1;2;1;0;4;0;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;6;8;30000;0;14;7;1;2;1;-2;0;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;7;4;30000;0;9;7;1;3;1;-1;1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;7;5;30000;0;10;7;1;7;1;-2;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;7;6;30000;0;10;7;1;3;1;-1;2;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;7;7;30000;0;14;7;1;4;1;1;-2;0;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;7;8;30000;0;22;7;1;6;1;-2;0;0;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;7;9;30000;0;14;7;1;2;1;0;2;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;7;13;30000;0;10;7;1;3;1;-1;-2;0;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;8;6;30000;0;10;7;1;2;1;0;-1;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;8;7;30000;0;10;7;1;2;1;1;4;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;8;8;30000;0;11;7;1;5;1;-1;-2;0;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;9;4;30000;0;15;7;1;3;1;-2;-2;0;0;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;9;5;30000;0;10;7;1;2;1;1;1;0;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;9;7;30000;0;14;7;1;4;1;-1;-2;1;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;13;4;30000;0;17;7;1;6;1;0;-2;0;1;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;13;5;30000;0;11;7;1;2;1;1;-1;1;0;0;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;13;7;30000;0;14;7;1;2;1;1;-1;1;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;7;13;13;30000;0;14;7;1;6;1;-2;-1;0;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;6;6;30000;0;11;8;1;1;1;0;-2;0;1;1;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;6;7;30000;0;15;8;1;4;1;1;-1;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;6;8;30000;0;11;8;1;3;1;-1;-1;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;7;6;30000;0;14;8;1;4;1;-1;-1;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;7;7;30000;0;14;8;1;5;1;-2;-2;0;1;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;7;8;30000;0;14;8;1;5;1;-1;0;0;1;1;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;8;6;30000;0;10;8;1;2;1;1;1;1;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;8;7;30000;0;14;8;1;4;1;-1;-1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;8;8;8;30000;0;14;8;1;6;1;0;-1;0;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;4;4;30000;0;16;9;1;4;1;0;1;0;0;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;4;5;30000;0;11;9;1;1;1;-1;0;0;0;1;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;4;7;30000;0;11;9;1;4;1;-1;0;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;4;9;30000;0;11;8;1;9;9;1;-1;0;0;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;4;13;30000;0;11;9;1;7;9;-1;-2;0;1;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;5;4;30000;0;15;9;1;1;1;-2;-2;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;5;5;30000;0;14;9;1;7;1;-1;-1;0;0;1;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;5;7;30000;0;11;8;1;2;9;0;-1;0;1;1;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;5;9;30000;0;15;9;1;5;1;1;-2;0;0;0;1;1;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;7;4;30000;0;14;9;1;2;1;-2;1;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;7;5;30000;0;10;8;1;9;1;1;0;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;7;7;30000;0;11;8;1;5;1;1;2;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;9;4;30000;0;17;9;1;7;1;-1;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;9;5;30000;0;22;9;1;4;1;-1;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;9;9;30000;0;18;9;1;5;1;1;-1;0;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;9;16;30000;0;22;9;1;9;1;1;-1;0;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;9;22;30000;0;6;9;1;3;1;-2;-2;0;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;9;32;30000;0;22;9;1;7;1;0;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;13;4;30000;0;14;9;1;4;1;-2;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;16;9;30000;0;17;9;1;7;1;0;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;16;16;30000;0;10;9;1;4;1;-2;3;1;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;16;22;30000;0;10;9;1;2;1;1;1;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;22;9;30000;0;18;9;1;6;1;0;0;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;22;16;30000;0;12;9;1;3;1;-2;0;1;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;22;22;30000;0;13;9;1;7;1;-1;0;1;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;9;22;32;30000;0;24;9;1;8;1;-1;-1;1;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;10;4;4;30000;0;15;10;1;6;1;0;0;0;1;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;10;4;10;30000;0;11;8;1;3;10;-2;3;0;0;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;10;10;4;30000;0;14;10;1;9;1;1;-1;1;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;10;10;10;30000;0;17;10;1;3;1;1;-1;0;1;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;4;4;30000;0;9;8;1;13;1;1;0;0;1;1;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;4;5;30000;0;10;8;1;6;13;0;2;0;1;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;4;7;30000;0;11;8;1;12;1;-2;6;0;0;1;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;4;9;30000;0;6;8;1;11;13;-2;1;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;4;13;30000;0;6;8;1;4;13;-1;6;0;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;4;17;30000;0;6;8;1;10;13;1;4;0;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;4;32;30000;0;17;8;1;6;1;0;-1;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;5;4;30000;0;9;8;1;5;1;-2;3;0;1;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;5;5;30000;0;9;8;1;7;1;0;2;0;1;1;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;5;7;30000;0;11;8;1;10;1;1;1;1;0;0;1;1;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;5;13;30000;0;10;8;1;4;13;1;4;0;1;1;1;1;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;5;17;30000;0;10;8;1;4;1;-2;0;0;0;1;1;1;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;5;32;30000;0;6;8;1;9;1;1;-2;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;7;4;30000;0;11;8;1;2;1;1;2;0;0;0;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;7;5;30000;0;14;13;1;10;1;1;3;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;7;7;30000;0;14;8;1;13;1;-1;3;1;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;7;13;30000;0;14;8;1;2;1;-1;1;0;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;9;4;30000;0;14;8;1;11;1;1;2;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;13;4;30000;0;25;13;1;10;1;0;-2;0;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;13;5;30000;0;22;13;1;12;1;-2;-1;1;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;13;7;30000;0;18;13;1;3;13;-2;-2;1;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;13;13;30000;0;5;13;1;4;1;0;-2;0;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;13;17;30000;0;17;13;1;10;1;1;0;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;13;32;30000;0;24;13;1;7;1;-2;-1;1;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;17;4;30000;0;18;13;1;10;1;1;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;17;5;30000;0;17;13;1;2;1;1;-1;1;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;17;13;30000;0;18;13;1;9;1;1;0;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;17;17;30000;0;17;13;1;2;1;-2;1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;17;32;30000;0;22;13;1;12;1;1;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;32;4;30000;0;25;13;1;13;1;-2;-2;1;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;32;5;30000;0;26;13;1;11;1;1;-1;1;0;0;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;32;13;30000;0;22;13;1;13;1;1;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;32;17;30000;0;25;8;1;4;1;0;4;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;13;32;32;30000;0;15;13;1;11;1;-1;-1;1;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;15;4;4;30000;0;9;8;1;11;1;0;2;1;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;15;15;15;30000;0;12;15;1;9;1;-2;-1;0;0;1;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;16;9;9;30000;0;14;8;1;9;1;0;4;0;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;16;9;16;30000;0;14;8;1;2;16;-2;5;0;1;1;1;1;1;2;1;0\nNVIDIA H100 PCIe [0xa32d];3;16;9;22;30000;0;15;8;1;6;16;1;0;0;1;0;1;0;0;2;1;0\nNVIDIA H100 PCIe [0xa32d];3;16;16;9;30000;0;18;16;1;8;1;0;0;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;16;16;16;30000;0;13;16;1;3;1;1;-1;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;16;16;22;30000;0;24;16;1;10;1;-2;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;16;22;9;30000;0;17;16;1;10;1;1;-1;1;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;16;22;16;30000;0;18;16;1;9;1;0;-2;1;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;16;22;22;30000;0;15;16;1;12;1;0;0;0;0;1;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;4;4;30000;0;9;8;1;11;1;-1;-1;0;1;1;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;4;5;30000;0;13;8;1;4;1;-2;6;0;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;4;13;30000;0;10;8;1;5;17;1;0;0;1;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;4;17;30000;0;12;8;1;5;17;-1;1;0;1;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;4;32;30000;0;3;8;1;10;17;0;3;0;1;0;1;0;1;0;1;0\nNVIDIA H100 PCIe [0xa32d];3;17;5;4;30000;0;14;8;1;16;1;-1;-1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;5;5;30000;0;10;17;1;16;17;-2;4;0;0;1;1;1;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;5;13;30000;0;11;8;1;5;17;0;-2;0;0;0;1;0;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;5;17;30000;0;15;8;1;15;17;-2;0;0;1;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;5;32;30000;0;20;8;1;13;17;-2;6;1;1;0;1;1;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;13;4;30000;0;15;17;1;13;1;1;-2;0;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;13;5;30000;0;18;17;1;8;1;-2;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;13;13;30000;0;19;8;1;14;1;-1;4;1;1;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;13;17;30000;0;10;17;1;12;1;-1;-2;1;0;0;1;1;1;2;1;0\nNVIDIA H100 PCIe [0xa32d];3;17;13;32;30000;0;22;17;1;14;1;-1;0;1;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;17;4;30000;0;24;17;1;14;1;-2;-2;0;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;17;5;30000;0;24;17;1;11;1;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;17;13;30000;0;18;17;1;16;1;1;0;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;17;17;30000;0;22;17;1;9;1;-1;-1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;17;32;30000;0;11;17;1;15;1;1;-1;0;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;32;4;30000;0;22;17;1;16;1;-2;-2;1;1;1;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;32;5;30000;0;26;17;1;2;1;1;-2;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;32;13;30000;0;12;17;1;9;1;-1;0;1;0;0;1;0;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;32;17;30000;0;22;17;1;13;1;-2;-2;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;17;32;32;30000;0;24;17;1;17;1;-2;-1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;20;20;20;30000;0;22;20;1;18;1;1;-2;1;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;9;9;30000;0;12;8;1;7;1;-1;4;0;0;1;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;9;16;30000;0;18;8;1;15;1;-2;5;0;1;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;9;22;30000;0;20;22;1;13;22;-1;5;0;1;0;1;1;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;9;32;30000;0;20;8;1;18;22;-1;3;0;0;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;16;9;30000;0;22;8;1;5;1;-1;5;0;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;16;16;30000;0;22;8;1;8;1;-1;3;0;1;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;16;22;30000;0;34;8;1;12;1;1;6;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;22;9;30000;0;17;22;1;11;0;-2;-1;1;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;22;16;30000;0;24;22;1;11;1;0;-1;0;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;22;22;30000;0;24;22;1;15;0;-1;-2;0;0;1;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;22;22;32;30000;0;22;22;1;17;1;0;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;23;23;23;30000;0;22;23;1;20;1;1;-2;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;24;24;24;30000;0;24;24;1;22;0;-2;-2;0;0;1;1;1;1;0;1;0\nNVIDIA H100 PCIe [0xa32d];3;25;4;4;30000;0;10;8;1;8;25;1;4;0;0;1;1;1;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;25;4;5;30000;0;9;25;1;11;25;-1;6;0;1;0;1;1;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;25;5;4;30000;0;9;8;1;21;1;-1;1;0;0;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;25;25;25;30000;0;25;25;1;2;1;-1;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;26;4;4;30000;0;9;8;1;26;26;-2;4;1;0;1;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;28;4;4;30000;0;13;8;1;20;1;-2;5;0;1;0;1;0;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;28;28;28;30000;0;24;28;1;19;0;0;0;0;0;1;1;0;1;0;1;0\nNVIDIA H100 PCIe [0xa32d];3;30;30;30;30000;0;25;30;1;18;1;0;0;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;4;4;30000;0;11;8;1;15;32;1;4;1;1;0;1;1;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;4;5;30000;0;16;8;1;32;32;1;6;1;0;1;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;4;13;30000;0;12;8;1;11;32;1;4;0;1;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;4;17;30000;0;13;8;1;24;32;0;4;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;4;32;30000;0;24;8;1;29;32;-2;5;0;1;0;1;1;0;0;1;0\nNVIDIA H100 PCIe [0xa32d];3;32;5;4;30000;0;18;8;1;26;1;1;4;0;0;1;1;1;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;5;5;30000;0;18;8;1;14;1;0;4;1;0;0;1;0;2;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;5;13;30000;0;11;8;1;27;32;-2;6;0;1;1;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;5;17;30000;0;22;8;1;16;32;-2;0;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;5;32;30000;0;24;32;1;9;32;-1;6;0;0;1;1;1;2;0;1;0\nNVIDIA H100 PCIe [0xa32d];3;32;13;4;30000;0;24;8;1;1;1;-2;6;1;1;0;1;1;0;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;13;5;30000;0;22;8;1;10;1;0;6;1;0;0;1;1;2;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;13;13;30000;0;20;8;1;18;1;1;5;0;1;0;1;0;0;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;13;17;30000;0;22;8;1;9;1;-1;6;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;13;32;30000;0;11;8;1;16;1;-1;1;0;1;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;17;4;30000;0;22;32;1;5;1;-2;0;0;0;0;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;17;5;30000;0;22;32;1;9;0;-1;1;0;0;1;1;1;1;0;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;17;13;30000;0;22;32;1;22;0;-1;0;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;17;17;30000;0;22;32;1;7;0;0;1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;17;32;30000;0;22;32;1;28;1;-1;0;0;1;1;1;1;1;1;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;32;4;30000;0;33;32;1;10;0;1;1;0;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;32;5;30000;0;33;32;1;11;0;0;-1;1;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;32;13;30000;0;34;32;1;7;1;0;1;0;0;0;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;32;17;30000;0;24;32;1;28;1;0;-1;1;0;1;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;32;32;32;30000;0;25;32;1;29;1;-1;-2;1;0;1;1;1;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;35;35;35;30000;0;22;35;1;23;1;1;0;0;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;36;36;36;30000;0;22;36;1;23;0;0;0;0;0;0;1;0;1;2;0;0\nNVIDIA H100 PCIe [0xa32d];3;40;40;40;30000;0;44;40;1;22;1;-1;0;0;0;0;1;0;1;2;0;0\n" }, { "path": "src/acc/opencl/smm/params/tune_multiply_Mi250.csv", "content": "DEVICE;TYPEID;M;N;K;S;GFLOPS;BS;BM;BN;BK;WS;WG;LU;NZ;AL;TB;TC;AP;AA;AB;AC\ngfx90a [0x989f];3;1;1;1;30000;0;8;1;1;1;1;1;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;3;3;30000;0;10;3;1;3;1;-1;0;0;1;1;1;0;2;0;0;0\ngfx90a [0x989f];3;3;3;4;30000;0;25;3;1;2;1;0;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;3;3;5;30000;0;29;3;1;2;1;-1;-2;0;1;0;1;0;2;2;1;0\ngfx90a [0x989f];3;3;3;6;30000;0;29;3;1;2;1;-2;-2;0;1;1;1;0;0;0;0;0\ngfx90a [0x989f];3;3;3;7;30000;0;29;3;1;2;1;-1;0;0;1;1;1;0;2;2;1;0\ngfx90a [0x989f];3;3;3;8;30000;0;9;3;1;2;1;-2;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;3;3;9;30000;0;9;3;1;2;1;-2;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;3;10;30000;0;37;3;1;1;1;0;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;3;11;30000;0;8;3;1;3;1;1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;3;12;30000;0;6;3;1;3;1;-2;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;3;3;16;30000;0;9;3;1;1;1;1;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;3;23;30000;0;3;3;1;1;1;-1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;4;3;30000;0;21;3;1;1;1;0;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;3;4;4;30000;0;25;3;1;2;1;0;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;3;5;3;30000;0;18;3;1;1;1;1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;3;5;5;30000;0;25;3;1;2;1;-1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;6;3;30000;0;15;3;1;1;1;1;0;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;3;6;6;30000;0;25;3;1;3;1;-1;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;3;7;3;30000;0;15;3;1;2;1;-1;0;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;3;7;7;30000;0;29;3;1;1;1;-1;0;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;3;8;3;30000;0;15;3;1;2;1;1;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;8;8;30000;0;29;3;1;1;1;0;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;3;9;3;30000;0;15;3;1;1;1;-1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;3;9;9;30000;0;25;3;1;3;1;0;-2;0;1;1;1;0;0;2;1;0\ngfx90a [0x989f];3;3;10;3;30000;0;15;3;1;1;1;-2;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;10;10;30000;0;25;3;1;1;1;0;-2;0;0;1;1;0;2;2;0;0\ngfx90a [0x989f];3;3;11;3;30000;0;15;3;1;3;1;0;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;3;11;11;30000;0;30;3;1;1;1;1;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;12;3;30000;0;15;3;1;1;1;-1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;3;12;12;30000;0;25;3;1;2;1;-2;-1;0;0;0;1;0;2;1;0;0\ngfx90a [0x989f];3;3;16;3;30000;0;15;3;1;2;1;0;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;3;16;16;30000;0;40;3;1;1;1;-2;0;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;3;23;3;30000;0;15;3;1;3;1;0;0;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;3;23;23;30000;0;50;3;1;3;1;-1;0;0;1;0;1;1;0;0;1;0\ngfx90a [0x989f];3;4;3;3;30000;0;18;4;1;3;1;1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;4;3;4;30000;0;25;4;1;2;1;-1;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;4;4;3;30000;0;21;4;1;2;1;-2;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;4;4;4;30000;0;16;4;1;2;1;1;3;1;1;1;1;0;0;0;0;0\ngfx90a [0x989f];3;4;4;5;30000;0;9;4;1;2;1;-1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;4;4;6;30000;0;29;4;1;3;1;0;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;4;4;7;30000;0;29;4;1;2;1;-1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;4;4;8;30000;0;9;4;1;2;1;-2;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;4;4;9;30000;0;25;4;1;3;1;1;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;4;4;10;30000;0;25;4;1;2;1;0;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;4;4;11;30000;0;25;4;1;4;1;0;-1;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;4;4;12;30000;0;29;4;1;4;1;1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;4;4;16;30000;0;4;4;1;2;1;-1;-1;0;1;0;1;0;0;0;0;0\ngfx90a [0x989f];3;4;4;23;30000;0;30;4;1;3;1;0;0;0;1;0;1;0;0;2;1;0\ngfx90a [0x989f];3;4;5;4;30000;0;25;4;1;2;1;0;3;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;4;5;5;30000;0;25;4;1;1;1;-1;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;4;6;4;30000;0;21;4;1;2;1;-1;1;0;1;1;1;0;0;2;0;0\ngfx90a [0x989f];3;4;6;6;30000;0;25;4;1;3;1;1;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;4;7;4;30000;0;21;4;1;1;1;-2;0;0;1;1;1;0;0;0;0;0\ngfx90a [0x989f];3;4;7;7;30000;0;25;4;1;4;1;0;-2;0;1;0;1;0;2;2;1;0\ngfx90a [0x989f];3;4;8;4;30000;0;25;4;1;3;1;1;-1;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;4;8;8;30000;0;9;4;1;2;1;0;-1;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;4;9;4;30000;0;20;4;1;4;1;1;0;0;1;0;1;0;2;0;1;0\ngfx90a [0x989f];3;4;9;9;30000;0;26;4;1;3;1;1;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;4;10;4;30000;0;20;4;1;4;1;0;-1;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;4;10;10;30000;0;25;4;1;2;1;0;0;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;4;11;4;30000;0;18;4;1;1;1;0;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;4;11;11;30000;0;30;4;1;4;1;0;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;4;12;4;30000;0;20;4;1;3;1;-1;-2;0;1;0;1;0;2;2;0;0\ngfx90a [0x989f];3;4;12;12;30000;0;40;4;1;4;1;1;-1;0;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;4;16;4;30000;0;20;4;1;1;1;1;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;4;16;16;30000;0;30;4;1;1;1;1;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;4;23;4;30000;0;24;4;1;2;1;-2;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;4;23;23;30000;0;25;4;1;1;1;-2;-1;0;0;0;1;0;0;1;0;0\ngfx90a [0x989f];3;5;3;3;30000;0;18;5;1;5;1;0;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;5;3;5;30000;0;12;5;1;2;1;1;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;5;4;4;30000;0;24;5;1;4;1;0;0;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;5;4;5;30000;0;9;5;1;5;1;0;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;5;3;30000;0;20;5;1;2;1;-1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;5;5;4;30000;0;9;5;1;2;1;0;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;5;5;30000;0;10;5;1;2;1;0;-1;0;1;1;1;1;0;0;0;0\ngfx90a [0x989f];3;5;5;6;30000;0;9;5;1;4;1;-2;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;5;7;30000;0;20;5;1;2;1;0;1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;5;8;30000;0;24;5;1;3;1;-1;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;5;5;9;30000;0;25;5;1;5;1;0;0;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;5;5;10;30000;0;25;5;1;2;1;1;-1;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;5;5;11;30000;0;25;5;1;2;1;0;1;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;5;5;12;30000;0;12;5;1;3;1;-2;0;0;1;1;1;0;2;0;0;0\ngfx90a [0x989f];3;5;5;16;30000;0;25;5;1;5;1;1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;5;5;23;30000;0;30;5;1;3;5;0;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;6;5;30000;0;20;5;1;4;1;-1;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;6;6;30000;0;9;5;1;5;1;0;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;7;5;30000;0;9;5;1;1;1;1;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;7;7;30000;0;20;5;1;3;1;0;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;8;5;30000;0;12;5;1;5;1;-1;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;8;8;30000;0;20;5;1;5;1;1;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;9;5;30000;0;20;5;1;2;1;1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;5;9;9;30000;0;25;5;1;2;1;1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;5;10;5;30000;0;20;5;1;4;1;-1;-1;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;5;10;10;30000;0;25;5;1;2;1;-1;0;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;5;11;5;30000;0;20;5;1;5;1;1;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;5;11;11;30000;0;25;5;1;3;1;-1;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;12;5;30000;0;20;5;1;4;1;-1;0;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;5;12;12;30000;0;25;5;1;5;1;0;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;5;16;5;30000;0;20;5;1;4;1;-1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;5;16;16;30000;0;26;5;1;4;1;0;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;5;23;5;30000;0;24;5;1;2;1;-2;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;5;23;23;30000;0;24;5;1;1;1;-2;-1;0;0;1;1;1;0;1;0;0\ngfx90a [0x989f];3;6;3;3;30000;0;16;6;1;4;1;-2;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;3;6;30000;0;15;6;1;6;1;-1;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;4;4;30000;0;18;6;1;4;1;-1;-1;0;1;0;1;0;0;0;0;0\ngfx90a [0x989f];3;6;4;6;30000;0;15;6;1;3;1;0;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;5;5;30000;0;12;6;1;2;1;1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;5;6;30000;0;15;6;1;5;1;-1;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;6;3;30000;0;15;6;1;3;1;-1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;6;6;4;30000;0;15;6;1;2;1;-1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;6;6;5;30000;0;9;6;1;6;1;1;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;6;6;30000;0;12;6;1;6;1;-2;-1;0;1;1;1;1;2;0;0;0\ngfx90a [0x989f];3;6;6;7;30000;0;12;6;1;4;1;-1;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;6;8;30000;0;20;6;1;4;1;-2;-2;0;1;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;6;9;30000;0;20;6;1;6;1;0;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;6;10;30000;0;15;6;1;1;1;-2;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;6;11;30000;0;24;6;1;5;1;-1;0;1;0;1;1;1;2;2;0;0\ngfx90a [0x989f];3;6;6;12;30000;0;20;6;1;6;1;-1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;6;6;16;30000;0;25;6;1;4;1;0;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;6;23;30000;0;15;6;1;1;1;0;-2;0;0;1;1;0;2;2;0;0\ngfx90a [0x989f];3;6;7;6;30000;0;15;6;1;3;1;1;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;7;7;30000;0;15;6;1;4;1;1;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;8;6;30000;0;15;6;1;5;1;-1;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;8;8;30000;0;20;6;1;5;1;-2;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;9;6;30000;0;15;6;1;4;1;-2;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;9;9;30000;0;9;6;1;1;1;-1;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;10;6;30000;0;15;6;1;4;1;-2;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;10;10;30000;0;25;6;1;1;1;0;-1;0;1;1;1;1;0;0;0;0\ngfx90a [0x989f];3;6;11;6;30000;0;15;6;1;2;1;-1;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;11;11;30000;0;25;6;1;1;1;-2;-2;0;1;1;1;1;2;0;0;0\ngfx90a [0x989f];3;6;12;6;30000;0;15;6;1;6;1;-2;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;6;12;12;30000;0;24;6;1;2;1;-2;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;6;16;6;30000;0;20;6;1;6;1;1;-1;1;1;0;1;1;0;0;0;0\ngfx90a [0x989f];3;6;16;16;30000;0;26;6;1;1;1;0;0;1;1;0;1;1;2;2;1;0\ngfx90a [0x989f];3;6;23;6;30000;0;24;6;1;6;1;1;0;1;0;1;1;1;0;0;0;0\ngfx90a [0x989f];3;6;23;23;30000;0;24;6;1;5;1;0;-2;0;0;0;1;0;2;1;0;0\ngfx90a [0x989f];3;7;3;3;30000;0;15;7;1;2;1;-1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;7;3;7;30000;0;12;7;1;4;1;-2;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;7;4;4;30000;0;15;7;1;3;1;0;-2;0;1;1;1;0;0;2;0;0\ngfx90a [0x989f];3;7;4;7;30000;0;12;7;1;2;1;0;0;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;7;5;5;30000;0;12;7;1;3;1;-1;1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;7;5;7;30000;0;12;7;1;3;1;1;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;7;6;6;30000;0;12;7;1;3;1;-1;1;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;7;6;7;30000;0;12;7;1;2;1;0;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;7;7;3;30000;0;15;7;1;4;1;0;-1;0;1;0;1;0;0;2;0;0\ngfx90a [0x989f];3;7;7;4;30000;0;18;7;1;3;1;1;1;0;0;0;1;1;2;2;0;0\ngfx90a [0x989f];3;7;7;5;30000;0;12;7;1;6;1;1;-2;0;1;1;1;0;2;0;0;0\ngfx90a [0x989f];3;7;7;6;30000;0;15;7;1;6;1;-1;0;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;7;7;7;30000;0;12;7;1;2;1;1;0;0;1;0;1;1;0;0;0;0\ngfx90a [0x989f];3;7;7;8;30000;0;13;7;1;6;1;-1;-2;1;1;1;1;1;0;0;0;0\ngfx90a [0x989f];3;7;7;9;30000;0;15;7;1;1;1;-2;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;7;7;10;30000;0;15;7;1;7;1;-1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;7;7;11;30000;0;15;7;1;1;1;-1;-2;0;0;1;1;1;2;2;0;0\ngfx90a [0x989f];3;7;7;12;30000;0;12;7;1;1;1;1;-2;1;1;1;1;1;2;2;1;0\ngfx90a [0x989f];3;7;7;16;30000;0;15;7;1;1;1;-1;-2;1;1;0;1;1;2;1;0;0\ngfx90a [0x989f];3;7;7;23;30000;0;12;7;1;1;7;-2;0;0;0;1;1;1;2;1;0;0\ngfx90a [0x989f];3;7;8;7;30000;0;15;7;1;3;1;-2;1;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;7;8;8;30000;0;20;7;1;7;1;-1;-1;0;1;0;1;1;0;2;1;0\ngfx90a [0x989f];3;7;9;7;30000;0;20;7;1;6;1;-2;0;0;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;7;9;9;30000;0;15;7;1;1;1;1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;7;10;7;30000;0;20;7;1;4;1;1;0;0;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;7;10;10;30000;0;15;7;1;1;1;-2;0;1;0;0;1;0;2;2;1;0\ngfx90a [0x989f];3;7;11;7;30000;0;20;7;1;6;1;-2;0;0;1;0;1;1;2;2;0;0\ngfx90a [0x989f];3;7;11;11;30000;0;15;7;1;1;1;1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;7;12;7;30000;0;24;7;1;2;1;1;-1;1;0;0;1;1;0;0;0;0\ngfx90a [0x989f];3;7;12;12;30000;0;13;7;1;7;1;0;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;7;16;7;30000;0;24;7;1;7;1;0;-2;1;1;0;1;1;2;2;1;0\ngfx90a [0x989f];3;7;16;16;30000;0;24;7;1;7;1;0;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;7;23;7;30000;0;25;7;1;3;1;-2;1;1;1;1;1;1;0;0;0;0\ngfx90a [0x989f];3;7;23;23;30000;0;24;7;1;1;1;1;-2;1;0;1;1;1;2;0;1;0\ngfx90a [0x989f];3;8;3;3;30000;0;15;8;1;4;1;1;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;8;3;8;30000;0;15;8;1;1;1;-2;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;8;4;4;30000;0;9;8;1;1;1;-2;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;8;4;8;30000;0;7;8;1;1;1;1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;8;5;5;30000;0;12;8;1;2;1;-1;4;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;8;5;8;30000;0;15;8;1;1;1;1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;8;6;6;30000;0;12;8;1;8;1;-2;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;8;6;8;30000;0;15;8;1;1;1;-2;-1;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;8;7;7;30000;0;13;8;1;5;1;1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;8;7;8;30000;0;20;8;1;6;1;-1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;8;8;3;30000;0;15;8;1;1;1;1;-1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;8;8;4;30000;0;15;8;1;7;1;0;-1;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;8;8;5;30000;0;15;8;1;8;1;0;-1;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;8;8;6;30000;0;15;8;1;4;1;0;0;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;8;8;7;30000;0;15;8;1;4;1;1;-1;1;1;1;1;1;0;0;1;0\ngfx90a [0x989f];3;8;8;8;30000;0;10;8;1;3;1;-1;0;0;1;1;1;1;0;2;1;0\ngfx90a [0x989f];3;8;8;16;30000;0;12;8;1;1;1;-1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;8;8;23;30000;0;12;8;1;1;1;1;-2;1;1;0;1;1;2;1;0;0\ngfx90a [0x989f];3;8;16;8;30000;0;24;8;1;2;1;-1;1;1;1;1;1;1;0;2;1;0\ngfx90a [0x989f];3;8;16;16;30000;0;20;8;1;1;1;1;-2;1;1;0;1;1;0;2;1;0\ngfx90a [0x989f];3;8;23;8;30000;0;26;8;1;8;1;1;-1;1;1;1;1;1;2;2;1;0\ngfx90a [0x989f];3;8;23;23;30000;0;24;8;1;8;1;0;-2;0;0;0;1;0;0;1;0;0\ngfx90a [0x989f];3;9;3;3;30000;0;9;9;1;9;1;-1;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;9;3;9;30000;0;10;9;1;1;1;-2;0;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;9;4;4;30000;0;12;9;1;1;1;1;0;0;0;1;1;0;2;2;0;0\ngfx90a [0x989f];3;9;4;9;30000;0;15;9;1;6;1;1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;9;5;5;30000;0;13;9;1;9;1;-2;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;9;5;9;30000;0;10;9;1;1;1;-2;0;1;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;9;6;6;30000;0;15;9;1;4;1;-1;1;0;1;1;1;1;0;0;1;0\ngfx90a [0x989f];3;9;6;9;30000;0;10;9;1;1;1;0;-2;1;1;1;1;1;0;2;0;0\ngfx90a [0x989f];3;9;7;7;30000;0;13;9;1;1;1;1;-2;0;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;9;7;9;30000;0;13;9;1;1;1;-2;0;1;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;9;9;3;30000;0;15;9;1;4;1;1;-1;0;1;0;1;1;0;0;0;0\ngfx90a [0x989f];3;9;9;4;30000;0;15;9;1;4;1;-1;-1;0;1;0;1;1;2;2;0;0\ngfx90a [0x989f];3;9;9;5;30000;0;15;9;1;2;1;0;1;0;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;9;9;6;30000;0;24;9;1;2;1;1;-2;0;0;1;1;1;0;0;1;0\ngfx90a [0x989f];3;9;9;7;30000;0;9;9;1;9;1;-1;0;1;1;1;1;1;0;0;1;0\ngfx90a [0x989f];3;9;9;9;30000;0;10;9;1;3;1;0;-1;0;1;1;1;1;0;2;1;0\ngfx90a [0x989f];3;9;9;16;30000;0;12;9;1;1;1;1;-2;0;0;1;1;1;2;2;0;0\ngfx90a [0x989f];3;9;9;23;30000;0;15;9;1;1;1;-1;-1;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;9;16;9;30000;0;24;9;1;8;1;0;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;9;16;16;30000;0;12;9;1;1;1;1;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;9;23;9;30000;0;26;9;1;8;1;0;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;9;23;23;30000;0;3;8;1;5;1;0;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;10;3;3;30000;0;10;10;1;8;1;0;-2;0;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;10;3;10;30000;0;12;10;1;1;1;-1;-2;0;0;1;1;1;2;0;0;0\ngfx90a [0x989f];3;10;4;4;30000;0;13;10;1;3;1;-2;-1;1;1;0;1;1;0;2;0;0\ngfx90a [0x989f];3;10;4;10;30000;0;12;10;1;1;1;0;0;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;10;5;5;30000;0;15;10;1;3;1;-1;-2;0;1;1;1;1;0;0;1;0\ngfx90a [0x989f];3;10;5;10;30000;0;10;10;1;1;1;-2;0;1;0;1;1;1;2;2;0;0\ngfx90a [0x989f];3;10;6;6;30000;0;9;10;1;1;1;-1;-1;1;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;10;6;10;30000;0;12;10;1;1;1;0;0;1;1;0;1;1;0;0;0;0\ngfx90a [0x989f];3;10;7;7;30000;0;20;10;1;8;1;1;0;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;10;7;10;30000;0;9;10;1;1;1;1;-2;0;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;10;10;3;30000;0;15;10;1;10;0;1;-1;1;1;1;1;1;0;0;0;0\ngfx90a [0x989f];3;10;10;4;30000;0;20;10;1;5;1;0;1;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;10;10;5;30000;0;15;10;1;3;0;0;0;0;0;0;1;1;2;2;1;0\ngfx90a [0x989f];3;10;10;6;30000;0;25;10;1;7;1;0;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;10;10;7;30000;0;15;10;1;1;1;0;0;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;10;10;10;30000;0;10;10;1;9;1;0;-2;0;1;1;1;1;0;1;0;0\ngfx90a [0x989f];3;10;10;16;30000;0;12;10;1;1;1;-2;0;0;1;1;1;0;2;0;0;0\ngfx90a [0x989f];3;10;10;23;30000;0;15;10;1;1;1;1;0;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;10;16;10;30000;0;13;10;1;1;1;-2;0;1;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;10;16;16;30000;0;15;10;1;1;1;-1;0;0;0;1;1;1;2;2;1;0\ngfx90a [0x989f];3;10;23;10;30000;0;24;10;1;4;1;-1;-1;0;1;1;1;1;0;0;1;0\ngfx90a [0x989f];3;10;23;23;30000;0;3;10;1;4;1;-2;2;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;11;3;3;30000;0;9;11;1;6;1;0;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;11;3;11;30000;0;10;11;1;1;1;-1;-2;0;1;1;1;1;0;2;1;0\ngfx90a [0x989f];3;11;4;4;30000;0;13;11;1;3;1;0;-1;0;1;0;1;1;0;2;0;0\ngfx90a [0x989f];3;11;4;11;30000;0;12;11;1;1;1;-2;0;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;11;5;5;30000;0;10;11;1;1;1;0;-2;0;1;1;1;1;0;0;0;0\ngfx90a [0x989f];3;11;5;11;30000;0;10;11;1;1;1;0;0;0;0;0;1;1;0;2;0;0\ngfx90a [0x989f];3;11;6;6;30000;0;12;11;1;6;1;1;0;0;1;1;1;1;2;1;0;0\ngfx90a [0x989f];3;11;6;11;30000;0;12;11;1;1;1;-1;0;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;11;7;7;30000;0;13;11;1;1;1;-1;0;0;1;1;1;1;2;0;0;0\ngfx90a [0x989f];3;11;7;11;30000;0;5;8;1;7;1;-1;2;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;11;11;3;30000;0;22;11;1;2;1;-1;1;0;1;0;1;1;2;0;1;0\ngfx90a [0x989f];3;11;11;4;30000;0;20;11;1;2;1;-1;-2;0;1;1;1;1;0;0;0;0\ngfx90a [0x989f];3;11;11;5;30000;0;20;11;1;5;1;-2;1;0;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;11;11;6;30000;0;24;11;1;1;1;-2;0;0;0;0;1;1;2;2;0;0\ngfx90a [0x989f];3;11;11;7;30000;0;9;8;1;9;1;1;1;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;11;11;11;30000;0;12;11;1;10;1;-2;-2;0;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;11;11;16;30000;0;3;8;1;11;1;1;-1;1;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;11;11;23;30000;0;15;11;1;1;1;1;-1;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;11;16;11;30000;0;15;11;1;1;1;0;-2;0;1;0;1;1;2;2;0;0\ngfx90a [0x989f];3;11;16;16;30000;0;3;8;1;1;1;-1;-1;1;1;0;1;0;1;2;0;0\ngfx90a [0x989f];3;11;23;11;30000;0;40;11;1;1;1;-1;-2;1;0;0;1;1;2;0;1;0\ngfx90a [0x989f];3;11;23;23;30000;0;3;8;1;7;1;-1;2;0;1;0;1;0;1;2;1;0\ngfx90a [0x989f];3;12;3;3;30000;0;15;12;1;2;1;-1;-2;0;1;0;1;0;0;0;0;0\ngfx90a [0x989f];3;12;3;12;30000;0;10;12;1;1;1;1;-2;0;0;1;1;1;0;2;1;0\ngfx90a [0x989f];3;12;4;4;30000;0;11;12;1;12;1;0;0;0;1;0;1;1;0;0;0;0\ngfx90a [0x989f];3;12;4;12;30000;0;12;12;1;1;12;1;0;0;0;1;1;1;0;2;1;0\ngfx90a [0x989f];3;12;5;5;30000;0;10;12;1;7;1;0;0;0;1;1;1;1;2;0;0;0\ngfx90a [0x989f];3;12;5;12;30000;0;12;12;1;1;1;0;-2;0;1;1;1;1;2;0;0;0\ngfx90a [0x989f];3;12;6;6;30000;0;13;12;1;1;1;1;-2;0;1;0;1;1;0;0;1;0\ngfx90a [0x989f];3;12;6;12;30000;0;12;12;1;1;1;-1;-2;1;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;12;7;7;30000;0;15;12;1;1;1;0;0;1;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;12;7;12;30000;0;12;12;1;1;1;-1;0;0;1;1;1;1;0;2;1;0\ngfx90a [0x989f];3;12;12;3;30000;0;20;12;1;12;0;-2;-2;0;1;0;1;0;2;2;0;0\ngfx90a [0x989f];3;12;12;4;30000;0;20;12;1;9;0;0;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;12;12;5;30000;0;9;12;1;2;1;-1;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;12;12;6;30000;0;15;12;1;12;1;-2;-2;0;0;0;1;0;0;0;0;0\ngfx90a [0x989f];3;12;12;7;30000;0;15;12;1;1;1;-2;-2;0;0;0;1;0;2;0;0;0\ngfx90a [0x989f];3;12;12;12;30000;0;12;12;1;8;1;0;0;0;1;0;1;1;0;1;0;0\ngfx90a [0x989f];3;12;12;16;30000;0;12;12;1;1;1;-1;-2;0;0;0;1;0;2;1;0;0\ngfx90a [0x989f];3;12;12;23;30000;0;4;8;1;2;1;1;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;12;16;12;30000;0;4;8;1;5;1;0;1;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;12;16;16;30000;0;15;12;1;1;1;1;0;0;0;1;1;1;2;2;0;0\ngfx90a [0x989f];3;12;23;12;30000;0;20;12;1;1;1;0;-2;0;0;1;1;1;2;2;1;0\ngfx90a [0x989f];3;12;23;23;30000;0;3;8;1;8;1;-2;-2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;13;13;13;30000;0;12;13;1;11;1;0;-1;0;1;0;1;1;0;2;1;0\ngfx90a [0x989f];3;13;13;23;30000;0;12;13;1;1;1;-2;-2;0;1;0;1;1;2;0;1;0\ngfx90a [0x989f];3;13;13;32;30000;0;3;13;1;9;13;0;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;13;23;13;30000;0;30;8;1;10;1;1;2;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;13;23;23;30000;0;3;8;1;6;1;-1;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;14;14;14;30000;0;10;14;1;10;1;0;0;0;1;1;1;1;0;2;0;0\ngfx90a [0x989f];3;14;14;23;30000;0;15;14;1;1;1;-2;0;0;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;14;14;29;30000;0;4;8;1;5;14;0;1;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;14;14;32;30000;0;3;8;1;9;1;1;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;14;23;14;30000;0;26;8;1;2;1;-2;1;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;14;23;23;30000;0;40;8;1;3;1;1;2;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;14;29;14;30000;0;40;8;1;14;1;-1;1;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;14;29;29;30000;0;3;8;1;7;1;1;1;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;14;29;32;30000;0;3;8;1;4;1;1;1;0;1;1;1;0;1;2;1;0\ngfx90a [0x989f];3;14;32;14;30000;0;50;8;1;14;1;1;3;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;14;32;29;30000;0;3;8;1;2;1;1;4;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;14;32;32;30000;0;40;8;1;4;1;1;4;0;1;0;1;1;1;0;1;0\ngfx90a [0x989f];3;15;15;15;30000;0;5;8;1;3;1;0;0;0;1;1;1;0;1;0;1;0\ngfx90a [0x989f];3;15;15;23;30000;0;4;8;1;15;1;0;0;1;1;1;1;0;1;0;1;0\ngfx90a [0x989f];3;15;23;15;30000;0;4;8;1;11;1;0;-2;1;1;1;1;0;1;2;1;0\ngfx90a [0x989f];3;15;23;23;30000;0;4;8;1;6;1;-1;3;1;1;0;1;0;1;2;1;0\ngfx90a [0x989f];3;16;3;3;30000;0;15;16;1;10;0;-1;-2;0;1;0;1;1;0;0;0;0\ngfx90a [0x989f];3;16;3;16;30000;0;15;16;1;1;1;-2;0;0;1;0;1;1;2;0;1;0\ngfx90a [0x989f];3;16;4;4;30000;0;12;16;1;6;1;0;-1;0;1;0;1;1;0;0;1;0\ngfx90a [0x989f];3;16;4;16;30000;0;4;8;1;7;1;0;-1;1;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;16;5;5;30000;0;21;8;1;7;1;-2;-2;0;0;1;1;0;1;2;0;0\ngfx90a [0x989f];3;16;5;16;30000;0;8;8;1;6;1;-1;2;0;1;0;1;0;1;0;0;0\ngfx90a [0x989f];3;16;6;6;30000;0;9;16;1;1;1;1;-2;1;0;1;1;1;2;0;1;0\ngfx90a [0x989f];3;16;6;16;30000;0;12;16;1;1;1;1;0;0;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;16;7;7;30000;0;10;16;1;1;0;-2;0;0;1;1;1;1;2;2;1;0\ngfx90a [0x989f];3;16;7;16;30000;0;24;16;1;13;1;0;0;0;1;0;1;1;2;2;0;0\ngfx90a [0x989f];3;16;8;8;30000;0;24;16;1;3;0;-2;-1;0;0;0;1;1;2;2;1;0\ngfx90a [0x989f];3;16;8;16;30000;0;7;8;1;4;1;0;0;1;0;1;1;0;1;2;0;0\ngfx90a [0x989f];3;16;9;9;30000;0;6;8;1;3;1;-2;1;1;1;0;1;1;1;0;0;0\ngfx90a [0x989f];3;16;9;16;30000;0;4;8;1;5;1;-2;2;1;1;1;1;0;1;2;0;0\ngfx90a [0x989f];3;16;10;10;30000;0;30;16;1;9;0;-1;2;0;1;0;1;0;1;0;0;0\ngfx90a [0x989f];3;16;10;16;30000;0;5;8;1;5;1;-2;0;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;11;11;30000;0;25;8;1;4;1;0;-1;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;11;16;30000;0;30;8;1;14;1;-1;1;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;16;12;12;30000;0;5;8;1;1;1;1;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;12;16;30000;0;5;16;1;14;1;0;2;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;16;16;3;30000;0;24;16;1;11;1;-1;-2;0;0;0;1;0;0;2;0;0\ngfx90a [0x989f];3;16;16;4;30000;0;24;16;1;1;1;0;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;16;5;30000;0;20;16;1;1;1;0;-2;1;0;0;1;1;2;2;1;0\ngfx90a [0x989f];3;16;16;6;30000;0;25;8;1;15;1;-1;2;1;0;0;1;1;1;0;0;0\ngfx90a [0x989f];3;16;16;7;30000;0;25;16;1;9;1;-2;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;16;8;30000;0;25;16;1;10;1;0;2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;16;9;30000;0;25;8;1;6;1;-2;2;1;1;1;1;0;1;2;0;0\ngfx90a [0x989f];3;16;16;10;30000;0;25;8;1;4;1;0;3;1;1;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;16;11;30000;0;25;8;1;8;1;1;2;1;1;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;16;12;30000;0;25;8;1;7;1;-2;-2;1;0;1;1;0;1;2;0;0\ngfx90a [0x989f];3;16;16;16;30000;0;12;16;1;2;1;1;-1;0;1;1;1;1;2;0;1;0\ngfx90a [0x989f];3;16;16;23;30000;0;4;8;1;4;1;0;-1;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;16;23;16;30000;0;40;8;1;4;1;-2;-1;1;1;1;1;0;1;2;0;0\ngfx90a [0x989f];3;16;23;23;30000;0;50;8;1;15;1;-1;-1;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;17;17;17;30000;0;12;17;1;12;1;-2;-2;0;1;0;1;0;0;2;0;0\ngfx90a [0x989f];3;17;17;23;30000;0;3;8;1;11;1;-1;1;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;17;17;32;30000;0;3;8;1;17;17;-1;-2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;17;17;35;30000;0;3;8;1;17;17;-1;0;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;17;23;17;30000;0;15;17;1;1;1;-2;-2;0;0;0;1;0;2;2;0;0\ngfx90a [0x989f];3;17;23;23;30000;0;24;17;1;1;1;-1;0;1;0;0;1;1;2;1;0;0\ngfx90a [0x989f];3;17;32;17;30000;0;20;17;1;1;1;0;-2;1;0;0;1;1;2;0;0;0\ngfx90a [0x989f];3;17;32;35;30000;0;3;8;1;11;1;1;1;0;1;0;1;0;1;0;1;0\ngfx90a [0x989f];3;17;35;17;30000;0;25;17;1;5;1;-2;-1;1;1;0;1;0;1;2;0;0\ngfx90a [0x989f];3;17;35;32;30000;0;3;17;1;16;1;0;0;1;1;0;1;0;1;2;0;0\ngfx90a [0x989f];3;17;35;35;30000;0;20;17;1;1;1;1;0;1;1;1;1;0;0;0;0;0\ngfx90a [0x989f];3;18;18;18;30000;0;4;8;1;6;1;-2;-2;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;18;18;23;30000;0;3;8;1;14;1;0;-2;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;18;23;18;30000;0;4;18;1;4;1;1;3;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;18;23;23;30000;0;4;8;1;16;1;0;3;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;19;19;19;30000;0;40;8;1;10;1;1;3;0;0;0;1;0;1;2;0;0\ngfx90a [0x989f];3;19;19;23;30000;0;40;8;1;15;1;-1;-2;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;23;23;23;30000;0;20;23;1;10;23;-2;-2;0;1;1;1;1;2;2;0;0\ngfx90a [0x989f];3;28;28;28;30000;0;3;28;1;28;28;-2;2;0;0;0;1;0;1;0;0;0\ngfx90a [0x989f];3;32;32;32;30000;0;25;32;1;20;1;-2;0;0;1;0;1;0;2;0;0;0\ngfx90a [0x989f];3;35;17;17;30000;0;15;35;1;29;1;1;0;0;1;0;1;0;2;1;0;0\ngfx90a [0x989f];3;35;17;32;30000;0;20;35;1;1;1;0;-2;1;1;0;1;1;2;0;0;0\ngfx90a [0x989f];3;35;17;35;30000;0;7;35;1;31;1;-2;4;1;0;0;1;1;1;2;1;0\ngfx90a [0x989f];3;35;32;17;30000;0;39;35;1;35;1;1;4;0;1;1;1;1;1;0;0;0\ngfx90a [0x989f];3;35;32;35;30000;0;3;35;1;31;1;-2;0;1;1;0;1;1;1;2;0;0\ngfx90a [0x989f];3;35;35;17;30000;0;33;35;1;20;1;1;4;1;1;1;1;0;1;0;0;0\ngfx90a [0x989f];3;35;35;32;30000;0;15;35;1;35;35;-2;0;0;1;0;1;1;2;2;0;0\ngfx90a [0x989f];3;35;35;35;30000;0;2;35;1;30;0;1;-1;0;1;0;1;0;1;2;0;0\n" }, { "path": "src/acc/opencl/smm/params/tune_multiply_P100.csv", "content": "DEVICE;TYPEID;M;N;K;S;GFLOPS;BS;BM;BN;BK;WS;WG;LU;NZ;AL;TB;TC;AP;AA;AB;AC\nTesla P100-PCIE-16GB [0x2f6c];3;2;2;2;30000;23.4;17;2;1;2;0;-2;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;3;3;1;30000;33.4;20;3;1;2;0;-2;-2;0;1;0;1;1;2;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;3;3;3;30000;61.7;20;3;1;2;0;-2;-2;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;4;4;4;30000;144.3;17;4;1;2;0;0;0;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;5;5;30000;184.7;30;5;1;3;0;0;0;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;5;7;30000;190.1;31;5;1;3;0;-1;-2;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;5;13;30000;218.9;60;5;1;4;0;-2;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;5;16;30000;217.4;60;5;1;4;0;-2;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;5;24;30000;222.9;30;5;1;5;0;0;-2;1;1;1;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;5;26;30000;227.5;40;5;1;4;0;-1;-2;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;7;5;30000;246.9;20;5;1;2;0;0;-2;0;1;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;7;7;30000;270.9;25;5;1;3;0;-2;-2;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;7;13;30000;294.2;30;5;1;5;0;0;-1;0;1;1;1;1;1;0;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;13;5;30000;396.8;20;5;1;4;0;0;-2;1;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;13;7;30000;449.7;26;5;1;4;0;1;-2;1;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;13;13;30000;498.4;40;5;1;2;0;0;-2;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;13;16;30000;461.2;20;5;1;3;0;0;-2;1;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;13;24;30000;494.4;60;5;1;4;0;-1;-1;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;13;26;30000;486.0;30;5;1;4;0;-1;-1;1;1;0;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;16;5;30000;454.9;24;5;1;3;0;-2;0;1;1;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;16;13;30000;578.2;25;5;1;2;0;1;0;1;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;16;16;30000;597.7;30;5;1;2;0;-2;-2;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;16;24;30000;597.0;30;5;1;3;0;-2;-2;1;1;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;16;26;30000;594.9;30;5;1;4;0;-2;-1;1;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;24;5;30000;553.6;24;5;1;3;0;0;0;1;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;24;13;30000;677.3;40;5;1;4;0;-1;-2;0;0;0;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;24;16;30000;664.1;50;5;1;3;0;1;-1;0;1;1;1;1;1;0;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;24;24;30000;734.9;50;5;1;5;0;-1;-1;0;1;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;24;26;30000;724.8;50;5;1;2;0;-1;0;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;26;5;30000;556.3;24;5;1;2;0;-2;0;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;26;13;30000;753.2;60;5;1;2;0;1;1;1;1;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;26;16;30000;744.1;30;5;1;4;0;1;-2;1;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;26;24;30000;658.7;60;5;1;4;0;-1;0;0;0;1;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;5;26;26;30000;521.7;7;5;1;3;0;-1;-2;1;1;1;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;6;6;6;30000;272.0;25;6;1;5;0;1;0;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;5;5;30000;158.7;30;7;1;5;0;0;-1;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;5;7;30000;165.6;30;7;1;7;0;-2;-1;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;5;13;30000;190.0;1;7;1;5;0;-1;-1;1;0;0;1;0;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;7;5;30000;331.1;25;7;1;2;0;-2;0;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;7;7;30000;354.4;26;7;1;4;0;-1;-2;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;7;13;30000;394.8;30;7;1;5;0;0;-2;0;0;1;1;1;1;0;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;13;5;30000;494.5;25;7;1;6;0;-1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;13;7;30000;571.0;26;7;1;3;0;-2;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;7;13;13;30000;654.0;30;7;1;2;0;1;0;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;8;8;8;30000;471.1;30;8;1;7;0;0;-1;1;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;9;9;30000;545.1;30;9;1;6;0;0;-2;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;9;16;30000;577.2;30;9;1;8;0;0;-1;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;9;22;30000;566.3;40;9;1;4;0;-1;-1;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;9;32;30000;546.8;50;9;1;5;0;0;0;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;16;9;30000;791.8;30;9;1;7;0;0;-2;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;16;16;30000;856.2;30;9;1;8;0;-1;0;1;1;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;16;22;30000;879.6;50;9;1;4;0;0;0;0;1;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;22;9;30000;945.7;40;9;1;8;0;-2;0;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;22;16;30000;1062.4;40;9;1;3;0;-2;-1;1;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;22;22;30000;1065.8;60;9;1;5;0;0;0;0;1;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;22;32;30000;1072.5;60;9;1;2;0;0;-2;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;32;9;30000;1113.6;50;9;1;6;0;1;0;1;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;32;22;30000;1351.2;60;9;1;3;0;-2;0;1;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;9;32;32;30000;1398.1;60;9;1;8;0;-2;0;1;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;10;10;10;30000;637.6;30;10;1;2;0;-1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;5;5;30000;245.9;20;13;1;2;0;1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;5;7;30000;262.0;24;13;1;12;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;5;8;30000;268.9;25;13;1;11;0;-1;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;5;13;30000;278.8;30;13;1;4;0;-1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;5;16;30000;457.6;30;13;1;9;0;-2;-1;0;1;0;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;5;24;30000;464.2;40;13;1;13;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;5;26;30000;437.1;53;13;1;6;0;1;-2;0;0;1;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;7;5;30000;347.6;25;13;1;12;0;-1;-2;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;7;7;30000;364.8;24;13;1;5;0;-2;-2;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;7;13;30000;433.8;30;13;1;13;0;1;0;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;8;5;30000;388.2;25;13;1;11;0;-2;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;13;5;30000;716.0;26;13;1;12;0;-1;-2;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;13;7;30000;808.8;40;13;1;6;0;0;-2;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;13;13;30000;838.5;50;13;1;5;0;-2;-2;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;13;16;30000;875.5;50;13;1;8;0;1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;13;24;30000;749.0;17;13;1;10;0;-1;0;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;13;26;30000;746.5;5;13;1;6;0;-2;-1;1;0;1;1;1;1;0;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;16;5;30000;770.1;25;13;1;12;0;1;-2;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;16;13;30000;982.7;50;13;1;13;0;-1;-1;1;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;16;16;30000;973.6;60;13;1;7;0;0;-1;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;16;24;30000;1050.2;60;13;1;8;0;0;0;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;16;26;30000;975.0;53;13;1;2;0;-1;0;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;24;5;30000;825.2;50;13;1;6;0;-1;-1;0;1;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;24;13;30000;1175.7;40;13;1;6;0;-1;-2;1;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;24;16;30000;1263.4;40;13;1;4;0;-2;1;1;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;24;24;30000;1356.1;60;13;1;7;0;1;-1;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;24;26;30000;1209.2;53;13;1;6;0;-1;-1;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;26;5;30000;874.1;30;13;1;11;0;-2;-1;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;26;13;30000;1295.5;60;13;1;13;0;-2;-2;1;1;1;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;26;16;30000;1376.1;60;13;1;4;0;1;-2;1;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;26;24;30000;1084.3;54;13;1;8;0;-1;-1;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;13;26;26;30000;1427.8;60;13;1;11;0;1;0;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;14;14;30000;908.2;50;14;1;3;0;1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;14;16;30000;947.5;30;14;1;14;0;0;0;0;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;14;29;30000;834.1;5;14;1;6;0;0;0;0;0;0;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;16;14;30000;987.5;40;14;1;13;0;-1;-2;1;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;16;16;30000;1013.9;60;14;1;7;0;-2;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;16;29;30000;893.9;4;14;1;4;0;0;0;1;1;1;1;1;1;0;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;29;14;30000;1441.8;60;14;1;7;0;-2;-2;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;29;16;30000;1521.6;60;14;1;13;0;1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;14;29;29;30000;1489.4;50;14;1;9;0;0;-1;1;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;15;15;15;30000;973.0;30;15;1;12;0;-2;-2;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;5;5;0;194.0;23;16;1;0;0;0;0;0;0;0;1;0;0;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;5;13;30000;581.2;50;16;1;16;0;-1;1;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;5;16;30000;592.4;40;16;1;12;0;-1;0;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;5;24;30000;439.1;6;16;1;14;0;1;1;0;0;1;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;5;26;30000;581.3;60;16;1;15;0;0;0;0;0;1;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;8;5;30000;462.6;25;16;1;8;0;-2;-2;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;8;8;30000;511.4;30;16;1;15;0;0;-2;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;9;9;30000;562.2;30;16;1;16;0;1;0;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;9;16;30000;634.9;40;16;1;7;0;0;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;9;22;30000;632.4;50;16;1;10;0;-2;-2;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;13;5;30000;786.7;24;16;1;15;0;-2;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;13;13;30000;1056.9;25;16;1;2;0;1;1;1;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;13;16;30000;1147.4;30;16;1;4;0;0;-2;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;13;24;30000;852.4;5;16;1;10;0;-1;-2;1;0;0;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;13;26;30000;1097.1;40;16;1;15;0;1;-1;1;0;1;1;0;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;14;14;30000;1136.9;25;16;1;12;0;1;-2;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;14;16;30000;1169.5;30;16;1;14;0;-1;-1;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;14;29;30000;901.8;7;16;1;10;0;1;0;0;0;0;1;0;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;5;30000;860.6;25;16;1;16;0;-1;-2;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;9;30000;1044.8;50;16;1;7;0;0;0;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;13;30000;1059.9;50;16;1;15;0;-2;0;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;14;30000;1083.5;40;16;1;15;0;0;-1;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;16;30000;1099.0;40;16;1;14;0;-1;0;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;22;30000;1128.1;60;16;1;10;0;1;-2;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;24;30000;1110.8;40;16;1;15;0;0;-2;0;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;26;30000;1104.1;50;16;1;11;0;0;-2;1;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;29;30000;977.5;5;16;1;6;0;1;-2;0;1;1;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;16;55;30000;1030.9;1;16;1;7;0;1;1;0;0;1;1;0;1;0;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;22;9;30000;1267.6;30;16;1;2;0;0;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;22;16;30000;1382.6;50;16;1;8;0;1;1;1;1;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;22;22;30000;1411.9;60;16;1;12;0;1;-2;1;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;24;5;30000;877.9;25;16;1;11;0;0;-2;1;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;24;13;30000;1361.4;40;16;1;13;0;1;-2;1;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;24;16;30000;1463.5;60;16;1;4;0;-2;-2;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;24;24;30000;1164.1;36;16;1;10;0;-1;0;0;0;1;1;0;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;24;26;30000;1158.0;7;16;1;15;0;1;0;0;0;1;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;26;5;30000;969.1;30;16;1;10;0;-1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;26;13;30000;1469.9;50;16;1;5;0;1;0;1;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;26;16;30000;1548.9;60;16;1;6;0;-1;0;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;26;24;30000;1554.5;60;16;1;11;0;0;-1;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;26;26;30000;1486.2;50;16;1;11;0;0;-1;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;29;14;30000;1578.2;50;16;1;4;0;-1;1;1;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;29;16;30000;1569.0;50;16;1;9;0;0;0;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;29;29;30000;1555.2;50;16;1;10;0;-1;-2;0;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;29;55;30000;1359.1;17;16;1;15;0;1;0;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;55;16;30000;1411.0;45;16;1;3;0;-2;1;1;0;1;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;55;29;30000;1505.1;23;16;1;13;0;0;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;16;55;55;30000;1634.4;36;16;1;13;0;-1;0;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;20;20;20;30000;1396.9;50;20;1;8;0;-2;-2;0;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;9;9;30000;620.0;30;22;1;14;0;1;0;0;0;0;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;9;16;30000;635.4;40;22;1;21;0;-2;-2;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;9;22;30000;642.7;60;22;1;18;0;-2;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;9;32;30000;603.6;27;22;1;17;0;-1;0;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;16;9;30000;955.7;50;22;1;12;0;-2;-2;1;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;16;16;30000;1124.4;50;22;1;11;0;-1;-2;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;16;22;30000;1161.8;60;22;1;21;0;0;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;22;9;30000;1371.4;60;22;1;8;0;0;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;22;16;30000;1475.2;50;22;1;8;0;-1;-2;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;22;22;30000;1550.1;60;22;1;19;0;0;-1;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;22;32;30000;1421.8;40;22;1;1;0;-2;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;32;9;30000;1594.6;50;22;1;3;0;0;1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;32;22;30000;2044.8;60;22;1;10;0;-2;0;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;22;32;32;30000;2052.0;60;22;1;15;0;0;0;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;23;23;23;30000;1657.8;50;23;1;17;0;0;0;0;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;5;5;30000;557.5;24;24;1;1;0;-1;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;5;13;30000;657.2;40;24;1;22;0;0;0;1;1;0;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;5;16;30000;652.6;50;24;1;13;0;0;-1;1;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;5;24;30000;600.1;53;24;1;1;0;-2;1;0;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;5;26;30000;621.4;60;24;1;20;0;0;-2;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;13;5;30000;857.0;30;24;1;20;0;1;-1;1;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;13;13;30000;1145.1;25;24;1;22;0;1;1;1;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;13;16;30000;991.2;45;24;1;19;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;13;24;30000;1111.6;50;24;1;6;0;-1;-1;0;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;13;26;30000;1022.9;25;24;1;22;0;-2;-1;0;1;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;16;5;30000;980.0;40;24;1;10;0;-1;0;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;16;13;30000;1524.4;50;24;1;21;0;-2;-1;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;16;16;30000;1541.4;60;24;1;12;0;0;-1;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;16;24;30000;1506.5;50;24;1;24;0;-1;-1;0;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;16;26;30000;1178.7;26;24;1;24;0;0;0;1;0;1;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;24;5;30000;1051.1;50;24;1;23;0;1;-2;1;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;24;13;30000;1584.1;50;24;1;7;0;-1;-1;1;1;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;24;16;30000;1630.0;60;24;1;5;0;0;-2;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;24;24;30000;1606.4;50;24;1;1;0;1;0;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;24;26;30000;1483.6;46;24;1;4;0;-1;0;0;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;26;5;30000;1069.4;40;24;1;20;0;0;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;26;13;30000;1516.6;40;24;1;23;0;-1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;26;16;30000;1617.3;40;24;1;21;0;1;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;26;24;30000;1806.5;60;24;1;13;0;-2;0;0;0;0;1;0;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;24;26;26;30000;1777.9;60;24;1;17;0;1;0;1;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;25;25;25;30000;1779.6;60;25;1;12;0;-2;-1;0;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;5;5;30000;534.8;20;26;1;1;0;-1;0;1;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;5;13;30000;691.2;40;26;1;13;0;-1;-2;1;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;5;16;30000;693.3;40;26;1;21;0;0;-1;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;5;24;30000;520.0;25;26;1;23;0;1;-2;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;5;26;30000;524.8;3;26;1;25;0;1;1;1;1;0;1;1;1;2;1;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;13;5;30000;939.0;40;26;1;9;0;-1;-1;0;1;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;13;13;30000;1240.9;40;26;1;7;0;-2;0;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;13;16;30000;1178.2;50;26;1;22;0;0;-2;1;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;13;24;30000;1030.6;24;26;1;26;0;1;-1;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;13;26;30000;1253.7;60;26;1;1;0;1;0;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;16;5;30000;976.2;40;26;1;11;0;0;-2;1;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;16;13;30000;1571.2;50;26;1;26;0;1;1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;16;16;30000;1174.4;47;26;1;4;0;-1;-1;1;0;1;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;16;24;30000;1579.9;60;26;1;23;0;1;-1;0;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;16;26;30000;1195.7;25;26;1;18;0;-2;-2;0;1;1;1;0;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;24;5;30000;1085.3;50;26;1;26;0;0;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;24;13;30000;1443.2;50;26;1;1;0;1;-1;1;1;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;24;16;30000;1652.9;60;26;1;9;0;0;0;0;0;1;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;24;24;30000;1443.9;30;26;1;15;0;0;-1;0;0;0;1;0;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;24;26;30000;1482.0;36;26;1;23;0;1;0;0;1;0;1;1;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;26;5;30000;1076.0;50;26;1;23;0;0;-1;0;0;0;1;0;1;1;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;26;13;30000;1654.9;60;26;1;23;0;0;-2;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;26;16;30000;1613.0;53;26;1;26;0;-1;0;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;26;24;30000;1521.5;25;26;1;17;0;1;-1;0;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;26;26;26;30000;1825.8;60;26;1;22;0;1;0;0;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;28;28;28;30000;2017.4;60;28;1;25;0;0;0;0;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;14;14;30000;1063.5;50;29;1;28;0;0;-1;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;14;16;30000;1124.0;60;29;1;27;0;0;0;1;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;14;29;30000;1086.7;7;29;1;26;0;-2;0;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;16;14;30000;1190.2;55;29;1;1;0;1;-1;1;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;16;16;30000;1402.8;50;29;1;5;0;1;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;16;29;30000;1226.1;30;29;1;14;0;-2;0;1;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;16;55;30000;1096.1;9;29;1;22;0;0;0;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;29;14;30000;1676.4;40;29;1;24;0;-1;0;1;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;29;16;30000;1869.9;60;29;1;10;0;1;-1;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;29;29;30000;1741.8;40;29;1;25;0;-2;0;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;29;55;30000;1646.8;37;29;1;28;0;1;-2;1;1;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;55;16;30000;1872.0;40;29;1;27;0;0;0;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;55;29;30000;2156.0;31;29;1;17;0;0;0;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;29;55;55;30000;2066.8;5;29;1;25;0;0;0;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;30;30;30;30000;1919.2;40;30;1;1;0;-2;0;0;0;0;1;1;1;0;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;32;32;9;30000;1831.3;60;32;1;6;0;-1;1;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;32;32;22;30000;2073.6;40;32;1;1;0;-1;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;32;32;32;30000;2187.8;50;32;1;1;0;1;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;35;35;35;30000;1744.5;18;35;1;33;0;2;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;36;36;36;30000;1823.8;36;36;1;24;0;-1;-2;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;40;40;40;0;1912.2;34;40;1;0;0;0;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;16;16;30000;1311.0;25;55;1;32;0;0;0;1;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;16;29;30000;1499.1;22;55;1;19;0;-1;0;1;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;16;55;30000;1080.8;8;55;1;19;0;-1;0;1;0;1;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;29;16;30000;1699.5;34;55;1;19;0;-1;-1;0;1;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;29;29;30000;1710.1;9;55;1;52;0;0;0;0;0;0;1;1;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;29;55;30000;1030.0;8;55;1;33;0;0;0;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;55;16;30000;2125.2;46;55;1;51;0;0;-2;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;55;29;30000;2243.0;8;55;1;29;0;0;0;0;1;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;55;55;55;30000;1768.7;8;55;1;42;0;0;0;0;0;0;1;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;64;64;64;30000;1239.7;55;64;1;1;0;0;0;0;0;0;0;0;1;2;0;0\nTesla P100-PCIE-16GB [0x2f6c];3;78;78;78;30000;524.9;1;78;1;43;0;-1;1;0;1;0;1;1;0;2;1;0\n" }, { "path": "src/acc/opencl/smm/params/tune_multiply_PVC.csv", "content": "DEVICE;TYPEID;M;N;K;S;GFLOPS;BS;BM;BN;BK;WS;WG;LU;NZ;AL;TB;TC;AP;AA;AB;AC\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;1;1;1;30000;0;4;1;1;1;1;1;0;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;2;2;2;30000;0;10;2;1;1;2;-1;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;3;3;1;30000;0;10;3;1;1;3;-1;-1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;3;3;3;30000;0;10;3;1;1;1;-2;0;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;4;30000;0;15;4;1;1;4;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;5;30000;0;10;4;1;4;1;-2;-2;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;7;30000;0;10;4;1;1;1;-1;-1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;9;30000;0;10;4;1;4;1;1;-2;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;10;30000;0;10;4;1;2;1;-1;-2;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;13;30000;0;8;4;1;1;1;-1;-1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;15;30000;0;8;4;1;1;1;-2;-1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;17;30000;0;8;4;1;1;1;-2;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;25;30000;0;8;4;1;1;1;-1;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;26;30000;0;8;4;1;1;1;-1;0;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;28;30000;0;8;4;1;1;1;-1;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;32;30000;0;8;4;1;1;1;1;-1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;4;45;30000;0;8;4;1;1;4;-2;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;4;30000;0;15;4;1;1;5;-2;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;5;30000;0;15;4;1;4;5;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;7;30000;0;15;4;1;3;5;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;9;30000;0;8;4;1;1;1;1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;13;30000;0;8;4;1;1;1;-2;-1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;17;30000;0;9;4;1;1;5;-1;-2;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;25;30000;0;9;4;1;1;5;1;-1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;26;30000;0;8;4;1;1;5;0;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;28;30000;0;8;4;1;1;5;-2;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;32;30000;0;8;4;1;1;5;-1;0;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;5;45;30000;0;8;4;1;1;5;1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;4;30000;0;10;4;1;3;1;1;-2;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;5;30000;0;10;4;1;3;1;1;-1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;7;30000;0;10;4;1;3;1;1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;9;30000;0;10;4;1;2;7;1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;13;30000;0;8;4;1;1;7;-2;-1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;25;30000;0;8;4;1;1;7;-1;1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;26;30000;0;15;4;1;1;7;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;28;30000;0;8;4;1;1;7;0;-1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;32;30000;0;8;4;1;1;7;1;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;7;45;30000;0;8;4;1;1;7;1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;4;30000;0;11;4;1;2;1;-1;0;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;5;30000;0;16;4;1;2;9;-2;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;7;30000;0;10;4;1;3;1;1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;9;30000;0;11;4;1;2;1;-1;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;13;30000;0;10;4;1;1;1;1;-2;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;25;30000;0;8;4;1;1;9;0;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;26;30000;0;8;4;1;1;9;0;1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;28;30000;0;8;4;1;1;9;0;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;32;30000;0;8;4;1;1;9;0;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;9;45;30000;0;4;4;1;1;9;-2;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;10;4;30000;0;15;4;1;2;10;-2;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;10;10;30000;0;10;4;1;2;1;-2;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;10;15;30000;0;8;4;1;1;10;-2;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;4;30000;0;15;4;1;3;13;-1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;5;30000;0;12;4;1;3;13;-2;-1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;7;30000;0;11;4;1;1;1;1;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;9;30000;0;15;4;1;4;13;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;13;30000;0;15;4;1;1;13;-1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;17;30000;0;15;4;1;1;13;1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;25;30000;0;15;4;1;1;13;-2;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;26;30000;0;15;4;1;1;13;-1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;28;30000;0;8;4;1;1;13;0;0;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;32;30000;0;8;4;1;1;13;0;0;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;13;45;30000;0;8;4;1;1;13;0;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;15;4;30000;0;15;4;1;2;15;-2;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;15;10;30000;0;15;4;1;3;15;-1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;15;15;30000;0;15;4;1;1;15;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;17;4;30000;0;12;4;1;3;1;1;0;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;17;5;30000;0;15;4;1;4;17;-2;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;17;13;30000;0;15;4;1;1;17;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;17;17;30000;0;15;4;1;1;17;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;17;32;30000;0;8;4;1;1;1;1;0;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;4;30000;0;15;4;1;3;1;-1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;5;30000;0;15;4;1;3;1;-2;-1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;7;30000;0;15;4;1;1;25;-2;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;9;30000;0;15;4;1;3;25;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;13;30000;0;15;4;1;1;25;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;25;30000;0;15;4;1;1;25;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;26;30000;0;15;4;1;1;25;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;28;30000;0;15;4;1;1;25;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;32;30000;0;15;4;1;1;25;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;25;45;30000;0;15;4;1;1;25;1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;4;30000;0;15;4;1;2;1;-2;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;5;30000;0;15;4;1;1;26;-1;0;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;7;30000;0;15;4;1;3;26;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;9;30000;0;15;4;1;2;26;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;13;30000;0;15;4;1;1;26;-2;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;25;30000;0;15;4;1;1;26;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;26;30000;0;15;4;1;1;26;-2;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;28;30000;0;15;4;1;1;26;-2;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;32;30000;0;15;4;1;1;26;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;26;45;30000;0;8;4;1;1;26;-2;0;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;4;30000;0;15;4;1;1;1;-1;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;5;30000;0;15;4;1;1;28;-2;0;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;7;30000;0;15;4;1;4;28;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;9;30000;0;16;4;1;3;28;-1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;13;30000;0;15;4;1;1;28;1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;25;30000;0;8;4;1;1;28;0;1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;26;30000;0;15;4;1;1;28;-2;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;28;30000;0;15;4;1;1;28;-1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;32;30000;0;15;4;1;1;28;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;28;45;30000;0;8;4;1;1;28;0;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;4;30000;0;17;4;1;1;1;0;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;5;30000;0;16;4;1;2;1;0;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;7;30000;0;15;4;1;4;32;1;1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;9;30000;0;15;4;1;1;32;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;13;30000;0;15;4;1;1;32;0;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;17;30000;0;15;4;1;1;32;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;25;30000;0;15;4;1;2;32;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;26;30000;0;15;4;1;1;32;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;28;30000;0;15;4;1;4;32;0;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;32;30000;0;8;4;1;1;32;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;32;45;30000;0;8;4;1;1;32;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;4;30000;0;30;4;1;1;45;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;5;30000;0;15;4;1;4;45;-2;1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;7;30000;0;15;4;1;2;45;-2;-1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;9;30000;0;15;4;1;3;45;0;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;13;30000;0;6;4;1;1;45;1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;25;30000;0;6;4;1;1;45;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;26;30000;0;7;4;1;1;45;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;28;30000;0;7;4;1;1;45;-2;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;32;30000;0;6;4;1;1;45;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;4;45;45;30000;0;5;4;1;1;45;1;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;4;30000;0;11;5;1;1;1;1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;5;30000;0;12;5;1;1;1;1;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;7;30000;0;8;5;1;1;1;1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;9;30000;0;10;5;1;1;1;-1;1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;13;30000;0;8;5;1;1;1;1;0;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;17;30000;0;8;5;1;1;1;-1;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;25;30000;0;8;5;1;1;1;0;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;26;30000;0;8;5;1;1;5;0;1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;28;30000;0;8;5;1;1;5;-1;1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;32;30000;0;15;5;1;1;5;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;4;45;30000;0;8;5;1;1;5;-1;-1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;4;30000;0;12;5;1;1;1;1;-2;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;5;30000;0;15;5;1;2;5;-1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;7;30000;0;10;5;1;1;1;-1;-1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;9;30000;0;15;5;1;1;5;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;13;30000;0;10;5;1;1;1;1;1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;16;30000;0;16;5;1;1;5;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;17;30000;0;8;5;1;1;1;-1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;20;30000;0;8;5;1;1;5;-1;0;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;24;30000;0;8;5;1;1;1;-2;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;26;30000;0;8;5;1;1;1;-2;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;28;30000;0;8;5;1;1;5;1;-2;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;5;32;30000;0;15;5;1;1;5;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;6;20;30000;0;8;5;1;1;6;1;0;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;6;32;30000;0;15;5;1;1;6;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;7;4;30000;0;11;5;1;1;1;-2;1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;7;5;30000;0;15;5;1;1;7;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;7;7;30000;0;10;5;1;1;1;-1;1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;7;9;30000;0;10;5;1;1;1;-1;-1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;7;13;30000;0;8;5;1;1;1;-2;0;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;9;4;30000;0;15;5;1;1;9;-1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;9;5;30000;0;15;5;1;1;9;-2;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;9;7;30000;0;12;5;1;1;1;1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;9;9;30000;0;15;5;1;1;9;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;4;30000;0;15;5;1;1;13;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;5;30000;0;15;5;1;1;1;-2;0;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;7;30000;0;15;5;1;1;13;1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;13;30000;0;15;5;1;1;13;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;16;30000;0;15;5;1;1;13;-1;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;17;30000;0;15;5;1;1;13;-2;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;20;30000;0;15;5;1;1;13;1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;24;30000;0;15;5;1;1;13;1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;26;30000;0;8;5;1;1;1;-2;1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;32;30000;0;15;5;1;1;13;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;13;45;30000;0;8;5;1;1;13;-1;1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;14;28;30000;0;15;5;1;1;14;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;16;5;30000;0;15;5;1;1;1;-1;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;16;13;30000;0;15;5;1;1;16;-1;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;16;16;30000;0;15;5;1;1;16;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;16;24;30000;0;15;5;1;1;16;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;16;26;30000;0;15;5;1;1;16;-1;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;17;4;30000;0;15;5;1;1;1;-1;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;17;5;30000;0;17;5;1;1;1;-1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;17;13;30000;0;15;5;1;1;17;-2;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;17;17;30000;0;15;5;1;1;17;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;17;32;30000;0;15;5;1;1;17;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;20;5;30000;0;15;5;1;1;20;1;-1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;20;6;30000;0;15;5;1;1;20;1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;20;13;30000;0;15;5;1;1;20;1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;20;20;30000;0;15;5;1;1;20;-2;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;20;32;30000;0;15;5;1;1;20;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;24;5;30000;0;15;5;1;5;1;-1;-1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;24;13;30000;0;15;5;1;1;1;0;1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;24;16;30000;0;15;5;1;1;24;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;24;24;30000;0;15;5;1;1;24;1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;24;26;30000;0;15;5;1;1;24;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;24;32;30000;0;15;5;1;1;24;-2;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;4;30000;0;15;5;1;1;25;-2;-2;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;5;30000;0;18;5;1;1;25;-1;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;7;30000;0;15;5;1;1;25;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;9;30000;0;15;5;1;1;25;-2;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;13;30000;0;15;5;1;1;25;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;25;30000;0;15;5;1;1;25;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;26;30000;0;15;5;1;1;25;1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;28;30000;0;15;5;1;1;25;0;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;32;30000;0;15;5;1;1;25;-2;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;25;45;30000;0;15;5;1;1;25;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;4;30000;0;15;5;1;1;26;-1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;5;30000;0;15;5;1;1;1;-2;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;7;30000;0;15;5;1;1;26;0;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;9;30000;0;15;5;1;1;26;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;13;30000;0;15;5;1;1;26;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;16;30000;0;15;5;1;1;26;0;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;24;30000;0;15;5;1;1;26;1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;25;30000;0;15;5;1;1;26;-2;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;26;30000;0;15;5;1;1;26;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;28;30000;0;15;5;1;1;26;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;32;30000;0;15;5;1;1;26;-1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;26;45;30000;0;1;5;1;1;26;-1;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;4;30000;0;15;5;1;1;28;-2;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;5;30000;0;15;5;1;3;28;0;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;7;30000;0;15;5;1;1;28;-1;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;9;30000;0;15;5;1;1;28;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;13;30000;0;15;5;1;1;28;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;14;30000;0;15;5;1;1;28;-2;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;25;30000;0;15;5;1;1;28;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;26;30000;0;15;5;1;1;28;0;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;28;30000;0;15;5;1;1;28;-2;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;32;30000;0;15;5;1;1;28;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;28;45;30000;0;15;5;1;1;28;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;4;30000;0;15;5;1;1;32;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;5;30000;0;15;5;1;1;32;-2;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;6;30000;0;25;5;1;1;32;-2;1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;7;30000;0;15;5;1;4;32;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;9;30000;0;15;5;1;2;32;-1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;13;30000;0;15;5;1;1;32;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;17;30000;0;15;5;1;1;32;-1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;20;30000;0;15;5;1;1;32;0;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;24;30000;0;15;5;1;1;32;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;25;30000;0;15;5;1;1;32;1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;26;30000;0;15;5;1;4;32;1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;28;30000;0;15;5;1;1;32;-1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;32;30000;0;15;5;1;1;32;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;32;45;30000;0;15;5;1;1;32;1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;4;30000;0;30;5;1;1;45;-2;0;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;5;30000;0;30;5;1;1;45;0;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;7;30000;0;30;5;1;1;45;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;9;30000;0;15;5;1;1;45;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;13;30000;0;15;5;1;3;45;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;25;30000;0;8;5;1;1;45;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;26;30000;0;8;5;1;1;45;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;28;30000;0;8;5;1;1;45;1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;32;30000;0;7;5;1;1;45;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;5;45;45;30000;0;7;5;1;1;45;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;5;20;30000;0;8;6;1;1;6;0;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;5;32;30000;0;8;6;1;1;6;-2;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;6;6;30000;0;8;6;1;2;1;-2;0;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;6;7;30000;0;16;6;1;1;6;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;6;8;30000;0;15;6;1;1;6;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;6;20;30000;0;15;6;1;1;6;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;6;32;30000;0;15;6;1;1;6;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;7;6;30000;0;15;6;1;1;7;1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;7;7;30000;0;15;6;1;1;7;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;7;8;30000;0;15;6;1;1;7;-2;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;8;6;30000;0;15;6;1;1;1;-1;0;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;8;7;30000;0;15;6;1;1;8;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;8;8;30000;0;15;6;1;1;8;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;13;20;30000;0;15;6;1;1;13;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;13;32;30000;0;15;6;1;1;13;-1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;20;5;30000;0;15;6;1;6;20;-1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;20;6;30000;0;22;6;1;1;20;1;1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;20;13;30000;0;16;6;1;1;20;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;20;20;30000;0;15;6;1;1;20;-2;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;20;32;30000;0;16;6;1;1;20;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;32;5;30000;0;25;6;1;1;32;-1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;32;6;30000;0;28;6;1;1;32;-1;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;32;13;30000;0;15;6;1;1;32;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;32;20;30000;0;15;6;1;1;32;-2;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;6;32;32;30000;0;15;6;1;6;32;1;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;4;30000;0;15;7;1;1;1;-2;-1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;5;30000;0;11;7;1;1;1;1;-1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;7;30000;0;15;7;1;4;7;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;9;30000;0;15;7;1;6;7;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;13;30000;0;11;7;1;1;1;1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;25;30000;0;8;7;1;1;7;-1;-1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;26;30000;0;8;7;1;1;7;-1;1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;28;30000;0;8;7;1;1;7;-1;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;32;30000;0;15;7;1;1;7;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;4;45;30000;0;8;7;1;1;7;-2;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;4;30000;0;15;7;1;1;7;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;5;30000;0;13;7;1;7;1;-1;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;7;30000;0;15;7;1;1;7;1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;9;30000;0;15;7;1;1;7;1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;13;30000;0;10;7;1;1;1;-1;0;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;25;30000;0;8;7;1;1;7;1;0;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;26;30000;0;8;7;1;1;7;1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;28;30000;0;15;7;1;1;7;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;32;30000;0;15;7;1;1;7;-2;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;5;45;30000;0;8;7;1;1;7;1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;6;6;30000;0;12;7;1;1;1;-2;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;6;7;30000;0;15;7;1;1;7;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;6;8;30000;0;15;7;1;1;7;-1;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;4;30000;0;15;7;1;1;7;1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;5;30000;0;16;7;1;1;1;-1;0;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;6;30000;0;16;7;1;1;1;1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;7;30000;0;8;7;1;3;1;1;1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;8;30000;0;15;7;1;1;7;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;9;30000;0;15;7;1;1;7;1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;13;30000;0;15;7;1;1;7;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;25;30000;0;15;7;1;1;7;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;26;30000;0;15;7;1;1;7;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;28;30000;0;15;7;1;1;7;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;32;30000;0;15;7;1;1;7;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;7;45;30000;0;15;7;1;1;7;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;8;6;30000;0;15;7;1;1;1;-2;-2;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;8;7;30000;0;15;7;1;7;8;-2;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;8;8;30000;0;15;7;1;1;8;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;4;30000;0;15;7;1;1;9;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;5;30000;0;15;7;1;1;9;-1;-1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;7;30000;0;15;7;1;1;9;1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;9;30000;0;15;7;1;1;9;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;13;30000;0;15;7;1;1;9;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;25;30000;0;15;7;1;1;9;1;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;26;30000;0;15;7;1;1;9;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;28;30000;0;15;7;1;1;9;-2;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;32;30000;0;15;7;1;1;9;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;9;45;30000;0;15;7;1;1;9;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;13;4;30000;0;15;7;1;1;13;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;13;5;30000;0;15;7;1;1;1;1;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;13;7;30000;0;15;7;1;1;13;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;13;13;30000;0;15;7;1;1;13;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;32;13;30000;0;25;7;1;1;32;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;32;25;30000;0;15;7;1;1;32;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;32;26;30000;0;15;7;1;1;32;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;32;28;30000;0;15;7;1;1;32;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;32;32;30000;0;15;7;1;1;32;0;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;32;45;30000;0;15;7;1;1;32;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;4;30000;0;30;7;1;2;45;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;5;30000;0;43;7;1;7;45;1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;7;30000;0;31;7;1;7;45;-1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;9;30000;0;30;7;1;6;45;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;13;30000;0;30;7;1;3;45;0;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;25;30000;0;10;7;1;1;45;-2;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;26;30000;0;10;7;1;1;45;-1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;28;30000;0;8;7;1;1;45;1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;32;30000;0;10;7;1;1;45;-1;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;7;45;45;30000;0;11;7;1;1;45;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;6;6;30000;0;13;8;1;2;8;-1;1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;6;7;30000;0;15;8;1;2;8;-2;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;6;8;30000;0;15;8;1;3;8;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;7;6;30000;0;13;8;1;7;1;1;0;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;7;7;30000;0;15;8;1;4;8;-2;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;7;8;30000;0;15;8;1;7;8;-2;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;8;6;30000;0;15;8;1;1;8;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;8;7;30000;0;15;8;1;1;8;1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;8;8;8;30000;0;4;8;1;5;1;-1;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;4;30000;0;10;1;4;5;1;-2;-1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;5;30000;0;12;9;1;1;1;1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;7;30000;0;15;9;1;1;9;1;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;9;30000;0;15;9;1;1;9;-1;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;13;30000;0;15;9;1;1;9;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;25;30000;0;15;9;1;1;9;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;26;30000;0;15;9;1;1;9;0;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;28;30000;0;8;9;1;1;9;-2;-1;0;0;0;1;0;0;1;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;32;30000;0;15;9;1;1;9;-2;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;4;45;30000;0;15;9;1;1;9;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;4;30000;0;17;9;1;5;9;-2;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;5;30000;0;13;9;1;1;1;-2;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;7;30000;0;15;9;1;1;9;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;9;30000;0;15;9;1;8;9;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;13;30000;0;15;9;1;1;9;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;25;30000;0;8;9;1;1;9;-2;0;0;0;0;1;0;0;1;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;26;30000;0;15;9;1;3;9;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;28;30000;0;8;9;1;7;9;1;2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;32;30000;0;15;9;1;1;9;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;5;45;30000;0;15;9;1;1;9;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;4;30000;0;15;9;1;1;9;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;5;30000;0;15;9;1;1;9;-1;-2;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;7;30000;0;15;9;1;1;9;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;9;30000;0;15;9;1;1;9;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;13;30000;0;15;9;1;1;9;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;25;30000;0;15;9;1;1;9;1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;26;30000;0;15;9;1;8;9;1;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;28;30000;0;15;9;1;1;9;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;32;30000;0;8;9;1;1;9;-1;1;0;0;0;1;0;0;1;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;7;45;30000;0;15;9;1;1;9;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;4;30000;0;15;9;1;1;9;1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;5;30000;0;16;9;1;1;1;1;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;7;30000;0;15;9;1;1;9;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;9;30000;0;8;9;1;1;1;1;-2;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;13;30000;0;15;9;1;1;9;1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;16;30000;0;15;9;1;1;9;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;22;30000;0;15;9;1;1;9;-2;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;25;30000;0;15;9;1;1;9;-1;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;26;30000;0;15;9;1;1;9;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;28;30000;0;15;9;1;1;9;-2;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;32;30000;0;15;9;1;1;9;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;9;45;30000;0;15;9;1;1;9;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;4;30000;0;24;9;1;1;13;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;5;30000;0;15;9;1;1;13;-1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;7;30000;0;15;9;1;1;13;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;9;30000;0;15;9;1;1;13;-2;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;13;30000;0;15;9;1;1;13;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;25;30000;0;15;9;1;1;13;-1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;26;30000;0;15;9;1;4;13;-1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;28;30000;0;15;9;1;1;13;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;32;30000;0;8;9;1;1;13;1;-2;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;13;45;30000;0;15;9;1;1;13;-1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;16;9;30000;0;15;9;1;1;16;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;16;16;30000;0;15;9;1;9;16;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;16;22;30000;0;15;9;1;1;1;-2;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;22;9;30000;0;25;9;1;1;22;-1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;22;16;30000;0;15;9;1;1;22;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;22;22;30000;0;16;9;1;1;22;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;22;32;30000;0;15;9;1;1;22;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;4;30000;0;25;9;1;1;25;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;5;30000;0;25;9;1;1;25;-1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;7;30000;0;25;9;1;1;25;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;9;30000;0;15;9;1;1;25;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;13;30000;0;15;9;1;1;25;-1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;25;30000;0;15;9;1;1;25;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;26;30000;0;15;9;1;1;25;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;28;30000;0;16;9;1;1;25;-1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;32;30000;0;15;9;1;1;25;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;25;45;30000;0;15;9;1;1;25;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;4;30000;0;28;9;1;1;26;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;5;30000;0;25;9;1;1;26;-1;-2;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;7;30000;0;25;9;1;1;26;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;9;30000;0;25;9;1;1;26;-1;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;13;30000;0;15;9;1;3;26;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;25;30000;0;15;9;1;1;26;1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;26;30000;0;15;9;1;1;26;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;28;30000;0;15;9;1;1;26;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;32;30000;0;15;9;1;1;26;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;26;45;30000;0;15;9;1;1;26;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;4;30000;0;25;9;1;1;28;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;5;30000;0;25;9;1;1;28;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;7;30000;0;27;9;1;4;28;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;9;30000;0;28;9;1;5;28;0;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;13;30000;0;15;9;1;2;28;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;25;30000;0;15;9;1;1;28;1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;26;30000;0;15;9;1;1;28;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;28;30000;0;15;9;1;1;28;1;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;32;30000;0;15;9;1;1;28;0;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;28;45;30000;0;15;9;1;1;28;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;4;30000;0;25;9;1;1;32;-2;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;5;30000;0;25;9;1;1;32;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;7;30000;0;25;9;1;1;32;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;9;30000;0;25;9;1;1;1;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;13;30000;0;25;9;1;7;32;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;22;30000;0;16;9;1;1;1;1;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;25;30000;0;16;9;1;1;32;1;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;26;30000;0;15;9;1;1;32;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;28;30000;0;16;9;1;1;32;-2;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;32;30000;0;15;9;1;1;1;1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;32;45;30000;0;15;9;1;1;32;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;45;32;30000;0;10;9;1;1;45;-1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;9;45;45;30000;0;30;9;1;1;45;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;4;4;30000;0;16;10;1;1;1;-2;1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;4;10;30000;0;15;10;1;1;10;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;4;15;30000;0;15;10;1;1;10;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;10;4;30000;0;15;10;1;1;10;-2;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;10;10;30000;0;8;10;1;1;1;-1;1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;10;15;30000;0;15;10;1;1;10;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;15;4;30000;0;27;10;1;1;15;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;15;10;30000;0;15;10;1;1;15;-1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;10;15;15;30000;0;15;10;1;7;15;-1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;12;12;12;30000;0;8;12;1;1;12;-2;0;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;1;11;30000;0;8;13;1;1;13;-2;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;4;30000;0;18;13;1;1;13;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;5;30000;0;15;13;1;1;13;1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;7;30000;0;15;13;1;1;13;-1;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;9;30000;0;15;13;1;1;13;1;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;13;30000;0;9;13;1;1;1;-2;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;17;30000;0;15;13;1;1;13;1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;25;30000;0;8;13;1;1;13;-2;-2;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;26;30000;0;8;13;1;1;13;-2;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;28;30000;0;15;13;1;1;13;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;32;30000;0;8;13;1;1;1;-2;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;4;45;30000;0;8;13;1;1;13;-1;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;4;30000;0;15;13;1;1;13;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;5;30000;0;15;13;1;1;13;1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;7;30000;0;15;13;1;1;13;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;9;30000;0;15;13;1;1;13;1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;13;30000;0;10;13;1;1;1;-2;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;16;30000;0;15;13;1;1;13;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;17;30000;0;15;13;1;12;13;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;20;30000;0;15;13;1;1;13;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;24;30000;0;15;13;1;1;13;-2;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;25;30000;0;8;13;1;1;13;1;-2;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;26;30000;0;15;13;1;1;13;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;28;30000;0;8;13;1;1;13;-2;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;32;30000;0;15;13;1;1;13;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;5;45;30000;0;8;13;1;1;13;-1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;6;20;30000;0;15;13;1;1;13;1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;6;32;30000;0;15;13;1;1;13;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;4;30000;0;15;13;1;1;13;-2;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;5;30000;0;15;13;1;1;13;-1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;7;30000;0;15;13;1;1;13;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;9;30000;0;15;13;1;1;13;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;13;30000;0;10;13;1;1;1;-2;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;25;30000;0;15;13;1;1;13;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;26;30000;0;8;13;1;1;13;1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;28;30000;0;16;13;1;1;13;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;32;30000;0;8;13;1;1;13;1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;7;45;30000;0;15;13;1;1;13;-1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;4;30000;0;15;13;1;1;13;-1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;5;30000;0;15;13;1;1;13;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;7;30000;0;15;13;1;1;13;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;9;30000;0;15;13;1;1;13;-1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;13;30000;0;15;13;1;1;13;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;25;30000;0;15;13;1;1;13;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;26;30000;0;15;13;1;1;13;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;28;30000;0;15;13;1;1;13;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;32;30000;0;15;13;1;1;13;-1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;9;45;30000;0;15;13;1;1;13;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;4;30000;0;28;13;1;1;1;1;0;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;5;30000;0;25;13;1;1;13;-2;-1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;7;30000;0;15;13;1;1;13;-1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;9;30000;0;15;13;1;1;13;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;13;30000;0;8;13;1;10;1;1;0;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;14;30000;0;15;13;1;1;13;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;17;30000;0;15;13;1;1;13;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;20;30000;0;15;13;1;1;13;1;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;24;30000;0;15;13;1;1;13;-2;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;25;30000;0;15;13;1;1;13;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;26;30000;0;25;13;1;1;13;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;28;30000;0;15;13;1;1;13;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;32;30000;0;15;13;1;1;13;-1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;45;30000;0;15;13;1;8;13;1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;72;30000;0;8;13;1;1;13;-2;0;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;13;81;30000;0;8;13;1;1;13;-1;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;14;13;30000;0;15;13;1;1;14;-2;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;14;14;30000;0;15;13;1;1;14;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;14;25;30000;0;15;13;1;1;14;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;14;26;30000;0;15;13;1;1;14;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;14;32;30000;0;15;13;1;1;14;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;16;5;30000;0;25;13;1;1;16;-2;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;17;4;30000;0;25;13;1;1;17;-2;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;17;5;30000;0;15;13;1;11;17;-1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;17;13;30000;0;16;13;1;1;17;0;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;17;17;30000;0;15;13;1;4;17;-1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;17;32;30000;0;15;13;1;1;17;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;20;5;30000;0;25;13;1;1;20;0;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;20;6;30000;0;25;13;1;12;20;1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;20;13;30000;0;16;13;1;1;20;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;20;20;30000;0;16;13;1;1;20;0;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;20;32;30000;0;15;13;1;1;20;0;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;24;5;30000;0;25;13;1;2;24;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;24;13;30000;0;15;13;1;10;24;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;24;24;30000;0;15;13;1;1;24;0;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;24;26;30000;0;15;13;1;1;24;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;24;32;30000;0;15;13;1;1;24;0;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;4;30000;0;25;13;1;1;25;-1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;5;30000;0;25;13;1;1;25;-2;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;7;30000;0;25;13;1;1;25;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;9;30000;0;25;13;1;1;25;0;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;13;30000;0;16;13;1;1;25;1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;14;30000;0;15;13;1;4;25;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;25;30000;0;6;8;1;5;25;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;26;30000;0;15;13;1;1;25;0;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;28;30000;0;16;13;1;1;25;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;32;30000;0;15;13;1;2;25;1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;25;45;30000;0;15;13;1;1;25;0;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;4;30000;0;25;13;1;1;26;0;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;5;30000;0;25;13;1;10;26;0;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;7;30000;0;28;13;1;1;26;-2;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;9;30000;0;25;13;1;1;26;1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;13;30000;0;16;13;1;4;26;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;14;30000;0;25;13;1;1;26;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;24;30000;0;15;13;1;1;26;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;25;30000;0;15;13;1;1;26;0;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;26;30000;0;15;13;1;1;26;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;28;30000;0;15;13;1;1;26;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;32;30000;0;15;13;1;1;26;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;26;45;30000;0;15;13;1;1;26;0;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;4;30000;0;25;13;1;1;28;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;5;30000;0;30;13;1;1;28;-1;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;7;30000;0;25;13;1;1;28;-1;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;9;30000;0;25;13;1;1;28;0;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;13;30000;0;16;13;1;10;28;-1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;25;30000;0;15;13;1;1;28;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;26;30000;0;15;13;1;1;28;0;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;28;30000;0;15;13;1;1;28;0;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;32;30000;0;15;13;1;1;28;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;28;45;30000;0;15;13;1;1;28;0;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;4;30000;0;31;13;1;13;32;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;5;30000;0;30;13;1;5;32;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;6;30000;0;25;13;1;1;32;0;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;7;30000;0;25;13;1;10;32;-1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;9;30000;0;25;13;1;1;32;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;13;30000;0;25;13;1;1;32;0;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;14;30000;0;25;13;1;1;32;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;17;30000;0;25;13;1;1;32;1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;20;30000;0;25;13;1;1;32;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;24;30000;0;15;13;1;1;32;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;25;30000;0;15;13;1;1;32;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;26;30000;0;15;13;1;1;32;1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;28;30000;0;16;13;1;1;32;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;32;30000;0;15;13;1;1;1;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;32;45;30000;0;15;13;1;1;32;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;4;30000;0;32;13;1;9;45;-1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;5;30000;0;32;13;1;10;45;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;7;30000;0;37;13;1;6;45;1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;9;30000;0;30;13;1;9;45;1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;13;30000;0;30;13;1;1;45;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;25;30000;0;8;8;1;3;45;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;26;30000;0;15;13;1;1;45;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;28;30000;0;8;8;1;4;45;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;32;30000;0;8;8;1;3;45;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;13;45;45;30000;0;30;13;1;1;45;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;5;28;30000;0;15;14;1;1;14;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;13;13;30000;0;15;14;1;1;14;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;13;14;30000;0;15;14;1;10;14;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;13;25;30000;0;15;14;1;1;14;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;13;26;30000;0;8;14;1;1;14;-1;-2;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;13;32;30000;0;15;14;1;1;14;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;14;13;30000;0;25;14;1;1;14;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;14;14;30000;0;15;14;1;13;14;0;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;14;16;30000;0;15;14;1;1;14;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;14;25;30000;0;15;14;1;1;14;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;14;26;30000;0;15;14;1;1;14;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;14;28;30000;0;15;14;1;1;14;1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;14;29;30000;0;15;14;1;1;14;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;14;32;30000;0;15;14;1;1;14;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;16;14;30000;0;15;14;1;1;16;-1;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;16;16;30000;0;15;14;1;10;16;-2;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;16;29;30000;0;15;14;1;1;16;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;25;13;30000;0;16;14;1;12;25;-1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;25;14;30000;0;16;14;1;12;25;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;25;25;30000;0;15;14;1;1;25;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;25;26;30000;0;16;14;1;1;25;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;25;32;30000;0;15;14;1;1;25;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;26;13;30000;0;25;14;1;1;26;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;26;14;30000;0;25;14;1;1;26;1;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;26;25;30000;0;15;14;1;1;26;1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;26;26;30000;0;15;14;1;1;26;-2;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;26;32;30000;0;15;14;1;1;26;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;28;5;30000;0;25;14;1;1;28;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;28;14;30000;0;25;14;1;1;28;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;28;28;30000;0;15;14;1;1;28;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;29;14;30000;0;25;14;1;1;29;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;29;16;30000;0;15;14;1;12;29;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;29;29;30000;0;15;14;1;1;29;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;29;32;30000;0;15;14;1;1;29;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;32;13;30000;0;25;14;1;1;32;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;32;14;30000;0;27;14;1;1;32;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;32;25;30000;0;15;14;1;1;32;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;32;26;30000;0;15;14;1;1;32;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;32;29;30000;0;16;14;1;1;32;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;14;32;32;30000;0;15;14;1;1;32;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;4;4;30000;0;15;15;1;1;15;-2;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;4;10;30000;0;15;15;1;12;15;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;4;15;30000;0;16;15;1;7;15;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;10;4;30000;0;15;15;1;1;15;-1;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;10;10;30000;0;15;15;1;4;15;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;10;15;30000;0;15;15;1;2;15;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;15;4;30000;0;30;15;1;1;15;-1;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;15;10;30000;0;15;15;1;3;15;-2;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;15;15;15;30000;0;15;15;1;8;15;0;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;5;5;30000;0;15;16;1;11;16;0;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;5;13;30000;0;15;16;1;14;16;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;5;16;30000;0;15;16;1;5;16;-1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;5;24;30000;0;8;16;1;1;1;-1;-2;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;5;26;30000;0;15;16;1;1;16;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;7;3;30000;0;18;16;1;15;1;-1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;9;9;30000;0;15;16;1;12;16;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;9;16;30000;0;15;16;1;11;16;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;9;22;30000;0;15;16;1;1;16;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;13;5;30000;0;23;16;1;12;1;-2;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;14;14;30000;0;15;16;1;1;16;1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;14;16;30000;0;15;16;1;15;16;1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;14;29;30000;0;15;16;1;1;16;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;16;5;30000;0;30;16;1;1;1;-2;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;16;9;30000;0;25;16;1;1;16;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;16;14;30000;0;25;16;1;1;16;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;16;16;30000;0;15;16;1;1;16;-2;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;16;22;30000;0;15;16;1;1;1;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;16;29;30000;0;25;16;1;1;16;1;1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;16;55;30000;0;8;16;1;1;16;-2;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;22;9;30000;0;25;16;1;6;22;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;22;16;30000;0;17;16;1;1;22;0;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;22;22;30000;0;15;16;1;1;22;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;24;5;30000;0;28;16;1;5;24;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;26;5;30000;0;30;16;1;5;26;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;29;14;30000;0;25;16;1;1;29;1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;29;16;30000;0;25;16;1;1;29;-2;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;29;29;30000;0;15;16;1;1;29;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;29;55;30000;0;15;16;1;1;29;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;55;16;30000;0;30;16;1;1;55;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;55;29;30000;0;30;16;1;1;55;0;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;16;55;55;30000;0;30;16;1;1;55;0;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;1;1;30000;0;15;17;1;2;17;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;4;4;30000;0;15;17;1;1;17;1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;4;5;30000;0;15;17;1;1;17;-1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;4;13;30000;0;15;17;1;1;17;-2;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;4;17;30000;0;8;17;1;1;1;-2;-1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;4;32;30000;0;8;17;1;1;1;1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;5;4;30000;0;15;17;1;1;17;-1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;5;5;30000;0;15;17;1;1;17;-1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;5;13;30000;0;15;17;1;14;17;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;5;17;30000;0;8;17;1;1;1;-1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;5;32;30000;0;8;17;1;1;1;-2;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;13;4;30000;0;25;17;1;13;17;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;13;5;30000;0;25;17;1;1;17;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;13;13;30000;0;15;17;1;1;17;-2;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;13;17;30000;0;10;17;1;1;1;-1;1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;13;32;30000;0;8;17;1;1;1;-1;1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;17;4;30000;0;25;17;1;1;17;-2;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;17;5;30000;0;25;17;1;1;17;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;17;13;30000;0;25;17;1;1;17;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;17;17;30000;0;15;17;1;1;17;-2;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;17;32;30000;0;15;17;1;1;1;-1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;17;35;30000;0;15;17;1;1;1;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;32;4;30000;0;41;17;1;4;32;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;32;5;30000;0;41;17;1;1;32;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;32;13;30000;0;25;17;1;1;32;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;32;17;30000;0;25;17;1;1;1;0;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;32;32;30000;0;17;17;1;1;1;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;32;35;30000;0;15;17;1;1;1;-1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;35;17;30000;0;30;17;1;1;1;0;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;35;32;30000;0;30;17;1;1;1;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;17;35;35;30000;0;30;17;1;1;1;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;20;5;30000;0;28;20;1;13;20;1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;20;6;30000;0;30;20;1;1;20;-2;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;20;20;30000;0;25;20;1;1;20;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;20;32;30000;0;15;20;1;1;20;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;32;5;30000;0;50;20;1;10;32;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;32;6;30000;0;43;20;1;18;32;-1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;32;13;30000;0;14;20;1;8;32;0;3;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;32;20;30000;0;25;20;1;1;32;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;20;32;32;30000;0;15;20;1;1;32;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;9;9;30000;0;15;22;1;1;22;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;9;16;30000;0;15;22;1;7;22;1;3;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;9;22;30000;0;15;22;1;1;22;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;9;32;30000;0;8;22;1;1;1;-1;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;16;9;30000;0;15;22;1;1;22;1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;16;16;30000;0;15;22;1;11;22;-1;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;16;22;30000;0;15;22;1;1;22;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;22;9;30000;0;28;22;1;1;22;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;22;16;30000;0;25;22;1;1;22;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;22;22;30000;0;16;22;1;1;1;-2;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;22;32;30000;0;15;22;1;1;1;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;32;9;30000;0;25;22;1;1;1;-1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;32;22;30000;0;15;22;1;1;1;1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;22;32;32;30000;0;15;22;1;5;1;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;23;23;23;30000;0;15;23;1;1;1;-1;0;0;0;0;1;0;1;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;5;5;30000;0;15;24;1;10;24;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;5;13;30000;0;15;8;1;6;1;-2;-1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;5;16;30000;0;15;24;1;6;24;-1;3;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;5;24;30000;0;15;24;1;13;24;-1;3;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;5;26;30000;0;15;8;1;17;24;-2;3;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;5;32;30000;0;8;8;1;1;24;0;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;13;5;30000;0;20;24;1;2;1;-2;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;13;13;30000;0;15;24;1;1;24;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;13;24;30000;0;9;8;1;10;24;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;13;26;30000;0;15;24;1;1;24;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;13;32;30000;0;6;8;1;1;24;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;16;5;30000;0;25;24;1;8;1;-2;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;24;5;30000;0;46;24;1;1;24;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;24;13;30000;0;27;24;1;1;24;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;24;24;30000;0;15;24;1;1;1;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;24;26;30000;0;15;24;1;1;1;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;24;32;30000;0;15;24;1;1;1;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;26;5;30000;0;28;24;1;19;26;-1;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;26;13;30000;0;16;24;1;1;26;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;26;24;30000;0;12;8;1;13;1;1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;26;26;30000;0;15;24;1;1;26;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;26;32;30000;0;7;24;1;12;26;-1;3;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;32;5;30000;0;41;24;1;3;32;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;32;13;30000;0;15;24;1;1;32;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;32;24;30000;0;15;24;1;9;1;-1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;32;26;30000;0;7;8;1;14;32;0;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;24;32;32;30000;0;7;8;1;1;1;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;4;30000;0;15;25;1;7;25;1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;5;30000;0;15;25;1;1;25;0;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;7;30000;0;15;25;1;7;25;1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;9;30000;0;15;8;1;25;25;0;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;13;30000;0;15;25;1;9;25;1;4;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;25;30000;0;15;25;1;1;25;0;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;26;30000;0;15;25;1;7;25;-1;3;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;28;30000;0;15;25;1;1;25;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;32;30000;0;15;25;1;24;25;1;4;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;4;45;30000;0;15;25;1;1;25;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;4;30000;0;15;25;1;2;1;1;0;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;5;30000;0;15;25;1;1;25;-1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;7;30000;0;15;25;1;25;25;-2;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;9;30000;0;15;25;1;16;25;-1;3;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;13;30000;0;15;25;1;1;25;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;25;30000;0;15;8;1;19;25;1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;26;30000;0;15;25;1;11;25;-1;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;28;30000;0;15;25;1;1;25;0;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;32;30000;0;15;8;1;25;25;-1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;5;45;30000;0;8;25;1;1;25;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;4;30000;0;15;25;1;21;25;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;5;30000;0;15;25;1;1;25;-2;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;7;30000;0;16;25;1;4;25;1;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;9;30000;0;8;8;1;1;25;0;4;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;13;30000;0;15;8;1;7;25;1;3;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;25;30000;0;15;25;1;1;25;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;26;30000;0;16;25;1;1;25;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;28;30000;0;15;25;1;9;25;1;3;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;32;30000;0;15;25;1;21;25;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;7;45;30000;0;15;25;1;1;25;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;4;30000;0;15;25;1;1;25;-1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;5;30000;0;15;25;1;1;25;-1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;7;30000;0;10;25;1;23;25;-1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;9;30000;0;10;25;1;23;25;1;3;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;13;30000;0;15;25;1;1;25;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;25;30000;0;6;8;1;11;25;-2;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;26;30000;0;5;8;1;21;25;-2;3;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;28;30000;0;4;25;1;3;25;-2;3;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;32;30000;0;15;25;1;1;25;1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;9;45;30000;0;15;25;1;1;25;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;4;30000;0;25;25;1;11;25;1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;5;30000;0;15;25;1;6;25;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;7;30000;0;30;25;1;3;25;0;4;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;9;30000;0;15;8;1;1;25;-1;-1;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;13;30000;0;15;25;1;1;25;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;14;30000;0;15;25;1;7;25;0;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;25;30000;0;10;25;1;23;25;-2;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;26;30000;0;15;25;1;1;25;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;28;30000;0;15;25;1;1;25;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;32;30000;0;15;25;1;1;25;1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;13;45;30000;0;15;25;1;1;25;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;14;13;30000;0;15;25;1;1;25;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;14;14;30000;0;8;25;1;7;25;-1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;14;25;30000;0;15;25;1;1;25;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;14;26;30000;0;15;25;1;1;25;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;14;32;30000;0;15;25;1;1;25;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;4;30000;0;43;25;1;1;25;-2;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;5;30000;0;43;25;1;1;25;-1;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;7;30000;0;41;25;1;1;25;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;9;30000;0;25;25;1;1;25;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;13;30000;0;25;25;1;1;25;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;14;30000;0;25;25;1;1;25;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;25;30000;0;15;25;1;1;1;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;26;30000;0;16;25;1;1;25;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;28;30000;0;15;25;1;1;25;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;32;30000;0;15;25;1;1;25;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;25;45;30000;0;15;25;1;1;25;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;4;30000;0;30;25;1;2;26;1;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;5;30000;0;30;25;1;4;26;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;7;30000;0;17;25;1;12;26;-1;3;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;9;30000;0;16;16;1;7;26;-2;0;0;0;0;1;0;1;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;13;30000;0;17;25;1;1;26;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;14;30000;0;15;25;1;1;26;1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;25;30000;0;15;25;1;1;26;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;26;30000;0;15;25;1;1;26;1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;28;30000;0;7;8;1;14;26;-2;3;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;32;30000;0;15;25;1;1;26;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;26;45;30000;0;1;25;1;25;26;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;4;30000;0;30;25;1;2;28;0;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;5;30000;0;30;25;1;3;28;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;7;30000;0;14;25;1;5;28;-1;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;9;30000;0;13;25;1;15;28;0;3;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;13;30000;0;15;25;1;1;28;0;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;25;30000;0;15;25;1;1;28;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;26;30000;0;16;25;1;1;28;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;28;30000;0;15;25;1;1;28;-2;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;32;30000;0;15;25;1;1;28;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;28;45;30000;0;15;25;1;1;28;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;4;30000;0;30;25;1;6;32;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;5;30000;0;30;25;1;1;32;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;7;30000;0;59;25;1;3;32;-2;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;9;30000;0;14;25;1;3;32;-2;3;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;13;30000;0;15;25;1;1;32;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;14;30000;0;15;25;1;1;32;-2;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;25;30000;0;15;25;1;1;32;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;26;30000;0;15;25;1;1;32;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;28;30000;0;15;25;1;1;32;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;32;30000;0;15;25;1;1;32;-2;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;32;45;30000;0;1;25;1;23;32;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;4;30000;0;50;25;1;18;45;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;5;30000;0;50;25;1;1;45;-2;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;7;30000;0;22;25;1;20;45;-2;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;9;30000;0;14;25;1;23;45;1;3;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;13;30000;0;31;25;1;1;45;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;25;30000;0;30;25;1;1;45;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;26;30000;0;8;16;1;8;45;1;3;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;28;30000;0;5;16;1;22;45;-1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;32;30000;0;30;25;1;1;45;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;25;45;45;30000;0;30;25;1;1;45;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;4;30000;0;15;26;1;26;1;-1;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;5;30000;0;15;26;1;18;26;0;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;7;30000;0;15;8;1;21;26;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;9;30000;0;15;26;1;9;26;0;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;13;30000;0;15;26;1;2;26;0;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;25;30000;0;16;26;1;14;26;-2;3;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;26;30000;0;15;8;1;26;26;-1;3;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;28;30000;0;15;26;1;1;26;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;32;30000;0;16;26;1;1;26;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;4;45;30000;0;1;26;1;20;26;0;3;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;4;30000;0;15;26;1;1;26;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;5;30000;0;13;26;1;1;1;-1;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;7;30000;0;16;26;1;17;26;-1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;9;30000;0;16;26;1;13;26;0;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;13;30000;0;8;26;1;1;1;-1;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;16;30000;0;15;8;1;9;26;-1;3;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;24;30000;0;15;8;1;26;26;-2;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;25;30000;0;15;26;1;1;26;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;26;30000;0;15;8;1;25;26;-2;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;28;30000;0;15;8;1;26;26;0;3;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;32;30000;0;15;8;1;8;26;0;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;5;45;30000;0;15;26;1;1;26;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;4;30000;0;15;26;1;13;26;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;5;30000;0;15;26;1;1;26;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;7;30000;0;16;26;1;20;26;-2;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;9;30000;0;15;26;1;9;26;-1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;13;30000;0;8;8;1;1;26;0;0;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;25;30000;0;15;26;1;1;26;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;26;30000;0;15;26;1;1;26;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;28;30000;0;15;26;1;1;26;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;32;30000;0;15;26;1;1;26;1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;7;45;30000;0;1;26;1;25;26;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;4;30000;0;15;26;1;21;26;0;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;5;30000;0;15;26;1;1;26;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;7;30000;0;13;8;1;12;26;1;3;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;9;30000;0;12;26;1;11;26;-1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;13;30000;0;10;8;1;14;26;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;25;30000;0;6;26;1;17;26;-1;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;26;30000;0;6;8;1;19;26;-1;3;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;28;30000;0;15;26;1;1;26;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;32;30000;0;15;26;1;1;26;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;9;45;30000;0;15;26;1;1;26;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;4;30000;0;25;26;1;7;26;0;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;5;30000;0;25;26;1;1;1;-1;-2;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;7;30000;0;30;26;1;11;26;-1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;9;30000;0;15;8;1;26;26;1;-1;0;0;0;1;0;1;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;13;30000;0;15;26;1;1;26;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;14;30000;0;15;26;1;1;26;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;24;30000;0;15;26;1;1;26;0;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;25;30000;0;16;26;1;1;26;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;26;30000;0;15;26;1;7;26;0;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;28;30000;0;15;26;1;1;26;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;32;30000;0;15;26;1;1;26;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;13;45;30000;0;15;26;1;1;26;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;14;13;30000;0;15;26;1;1;26;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;14;14;30000;0;15;26;1;1;26;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;14;25;30000;0;15;26;1;1;26;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;14;26;30000;0;15;26;1;1;26;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;14;32;30000;0;15;26;1;1;26;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;16;5;30000;0;25;26;1;1;1;-1;-1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;24;5;30000;0;27;26;1;1;26;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;24;13;30000;0;17;26;1;1;26;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;24;24;30000;0;15;26;1;1;26;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;24;26;30000;0;16;26;1;1;1;1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;24;32;30000;0;15;26;1;1;26;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;4;30000;0;30;26;1;26;26;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;5;30000;0;28;26;1;1;26;1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;7;30000;0;17;8;1;2;26;0;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;9;30000;0;15;26;1;20;26;0;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;13;30000;0;15;26;1;1;26;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;14;30000;0;16;26;1;1;26;-1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;25;30000;0;15;26;1;1;26;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;26;30000;0;15;26;1;1;26;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;28;30000;0;5;16;1;21;26;1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;32;30000;0;15;26;1;1;26;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;25;45;30000;0;4;8;1;13;26;0;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;4;30000;0;45;26;1;1;26;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;5;30000;0;46;26;1;1;26;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;7;30000;0;30;26;1;1;26;1;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;9;30000;0;25;26;1;1;26;-1;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;13;30000;0;25;26;1;1;26;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;14;30000;0;17;26;1;1;26;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;24;30000;0;15;26;1;20;1;0;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;25;30000;0;16;26;1;1;26;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;26;30000;0;17;26;1;1;1;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;28;30000;0;15;26;1;1;26;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;32;30000;0;15;26;1;1;1;1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;26;45;30000;0;15;26;1;1;26;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;4;30000;0;45;26;1;22;28;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;5;30000;0;30;26;1;1;28;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;7;30000;0;17;26;1;7;28;-2;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;9;30000;0;15;26;1;20;28;0;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;13;30000;0;15;26;1;1;28;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;25;30000;0;15;26;1;1;28;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;26;30000;0;15;26;1;1;28;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;28;30000;0;30;16;1;7;28;-2;1;0;0;0;1;0;1;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;32;30000;0;15;26;1;1;28;0;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;28;45;30000;0;15;26;1;1;28;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;4;30000;0;50;26;1;3;32;0;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;5;30000;0;43;26;1;1;32;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;7;30000;0;59;26;1;20;32;-1;3;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;9;30000;0;15;26;1;14;32;0;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;13;30000;0;18;26;1;1;32;0;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;14;30000;0;18;26;1;1;32;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;24;30000;0;15;26;1;1;32;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;25;30000;0;15;26;1;1;32;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;26;30000;0;7;8;1;17;32;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;28;30000;0;16;26;1;1;32;0;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;32;30000;0;15;26;1;1;32;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;32;45;30000;0;15;26;1;1;32;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;4;30000;0;62;26;1;12;45;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;5;30000;0;54;26;1;1;45;-2;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;7;30000;0;24;26;1;19;45;1;3;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;9;30000;0;30;26;1;18;45;1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;13;30000;0;30;26;1;1;45;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;25;30000;0;10;26;1;1;45;1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;26;30000;0;30;26;1;1;45;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;28;30000;0;30;26;1;1;45;1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;32;30000;0;5;16;1;23;45;-2;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;26;45;45;30000;0;30;26;1;1;45;-2;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;4;30000;0;16;28;1;7;1;-2;4;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;5;30000;0;15;8;1;23;28;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;7;30000;0;15;8;1;13;28;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;9;30000;0;15;28;1;11;28;-1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;13;30000;0;16;8;1;15;28;-1;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;25;30000;0;15;8;1;15;28;-2;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;26;30000;0;15;8;1;20;28;-2;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;28;30000;0;15;28;1;26;28;-1;3;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;32;30000;0;15;8;1;16;28;0;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;4;45;30000;0;15;28;1;14;28;-1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;4;30000;0;15;16;1;6;28;1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;5;30000;0;15;8;1;3;28;0;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;7;30000;0;16;8;1;6;28;-2;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;9;30000;0;16;28;1;17;28;1;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;13;30000;0;15;8;1;27;28;-1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;25;30000;0;15;8;1;5;28;0;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;26;30000;0;15;8;1;28;28;-2;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;28;30000;0;15;28;1;11;28;1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;32;30000;0;15;28;1;3;28;-1;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;5;45;30000;0;1;28;1;10;28;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;4;30000;0;17;28;1;15;28;-2;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;5;30000;0;16;28;1;17;28;0;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;7;30000;0;15;28;1;27;28;1;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;9;30000;0;16;28;1;21;28;0;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;13;30000;0;15;28;1;28;28;-1;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;25;30000;0;15;8;1;19;28;0;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;26;30000;0;15;8;1;4;28;-1;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;28;30000;0;15;8;1;8;28;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;32;30000;0;15;28;1;5;28;1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;7;45;30000;0;15;28;1;4;28;-1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;4;30000;0;30;28;1;22;28;-2;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;5;30000;0;15;8;1;1;28;-2;0;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;7;30000;0;13;28;1;20;28;-1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;9;30000;0;13;8;1;6;28;1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;13;30000;0;10;8;1;19;28;-1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;25;30000;0;7;8;1;22;28;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;26;30000;0;6;8;1;26;28;0;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;28;30000;0;4;8;1;20;28;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;32;30000;0;5;8;1;19;28;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;9;45;30000;0;1;28;1;11;28;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;4;30000;0;30;28;1;20;28;-2;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;5;30000;0;30;28;1;5;28;-1;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;7;30000;0;15;8;1;22;28;-1;-2;0;1;0;1;0;1;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;9;30000;0;15;8;1;7;28;1;4;0;0;0;1;0;1;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;13;30000;0;15;28;1;5;28;0;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;25;30000;0;10;8;1;27;28;1;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;26;30000;0;10;8;1;9;28;0;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;28;30000;0;15;28;1;2;28;-2;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;32;30000;0;15;16;1;15;28;1;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;13;45;30000;0;10;8;1;20;28;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;4;30000;0;30;8;1;22;28;-1;4;0;0;0;1;0;1;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;5;30000;0;59;28;1;15;28;-1;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;7;30000;0;20;28;1;9;28;-2;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;9;30000;0;13;8;1;23;28;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;13;30000;0;15;28;1;5;28;0;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;25;30000;0;15;28;1;9;28;0;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;26;30000;0;15;28;1;1;28;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;28;30000;0;15;28;1;2;28;-2;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;32;30000;0;15;28;1;3;28;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;25;45;30000;0;1;28;1;14;28;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;4;30000;0;30;8;1;10;28;0;-2;0;0;0;1;0;1;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;5;30000;0;59;28;1;3;28;-2;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;7;30000;0;59;28;1;9;28;1;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;9;30000;0;15;8;1;17;28;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;13;30000;0;15;28;1;5;28;0;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;25;30000;0;15;28;1;25;28;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;26;30000;0;16;28;1;1;28;-2;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;28;30000;0;15;28;1;2;28;1;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;32;30000;0;15;28;1;3;28;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;26;45;30000;0;1;28;1;13;28;0;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;4;30000;0;50;28;1;1;28;-1;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;5;30000;0;44;28;1;1;28;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;7;30000;0;30;28;1;1;28;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;9;30000;0;31;28;1;1;28;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;13;30000;0;15;28;1;5;28;0;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;14;30000;0;15;28;1;1;28;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;25;30000;0;16;28;1;1;28;-2;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;26;30000;0;15;28;1;1;28;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;28;30000;0;9;16;1;4;1;-1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;32;30000;0;15;28;1;3;28;1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;28;45;30000;0;1;28;1;21;28;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;4;30000;0;30;8;1;18;32;0;1;0;0;0;1;0;1;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;5;30000;0;60;8;1;19;32;0;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;7;30000;0;59;8;1;17;32;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;9;30000;0;59;28;1;9;32;0;4;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;13;30000;0;16;28;1;5;32;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;25;30000;0;15;28;1;3;32;0;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;26;30000;0;16;28;1;1;32;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;28;30000;0;15;28;1;2;32;-2;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;32;30000;0;15;28;1;3;32;-2;-2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;32;45;30000;0;1;28;1;27;32;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;4;30000;0;26;8;1;12;45;0;0;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;5;30000;0;33;28;1;15;45;0;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;7;30000;0;19;28;1;10;45;-2;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;9;30000;0;24;28;1;19;45;1;4;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;13;30000;0;30;28;1;5;45;-1;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;25;30000;0;30;28;1;21;45;0;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;26;30000;0;31;28;1;1;45;-2;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;28;30000;0;25;28;1;11;45;-2;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;32;30000;0;5;16;1;4;45;1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;28;45;45;30000;0;6;8;1;1;45;-1;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;14;14;30000;0;15;29;1;1;29;-2;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;14;16;30000;0;15;29;1;9;29;0;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;14;29;30000;0;15;8;1;29;29;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;14;32;30000;0;15;29;1;28;29;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;16;14;30000;0;15;29;1;1;29;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;16;16;30000;0;15;29;1;5;29;0;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;16;29;30000;0;15;29;1;8;29;-1;3;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;16;55;30000;0;5;16;1;11;29;1;3;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;29;14;30000;0;17;29;1;1;29;1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;29;16;30000;0;15;29;1;3;29;0;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;29;29;30000;0;16;29;1;1;29;-1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;29;32;30000;0;15;29;1;1;29;-2;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;29;55;30000;0;30;16;1;15;29;-2;3;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;32;14;30000;0;18;29;1;1;32;0;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;32;29;30000;0;15;29;1;2;32;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;32;32;30000;0;15;29;1;3;32;-2;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;32;55;30000;0;3;29;1;21;32;0;2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;55;16;30000;0;31;29;1;3;55;-2;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;55;29;30000;0;7;29;1;12;55;-1;2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;55;32;30000;0;4;16;1;14;55;-1;3;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;29;55;55;30000;0;20;29;1;25;55;-1;3;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;30;30;30;30000;0;15;30;1;1;30;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;30;30;76;30000;0;20;30;1;1;30;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;30;76;30;30000;0;8;30;1;22;76;-1;3;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;30;76;76;30000;0;3;30;1;1;76;0;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;4;30000;0;15;32;1;2;32;1;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;5;30000;0;15;8;1;2;1;-1;4;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;7;30000;0;15;8;1;9;32;0;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;9;30000;0;15;8;1;32;32;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;13;30000;0;15;32;1;27;32;0;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;17;30000;0;16;32;1;21;32;-1;4;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;25;30000;0;15;8;1;6;32;-2;4;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;26;30000;0;15;32;1;14;32;0;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;28;30000;0;15;32;1;3;32;-1;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;32;30000;0;15;8;1;3;32;-1;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;4;45;30000;0;8;8;1;1;32;-2;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;4;30000;0;15;8;1;20;1;1;-2;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;5;30000;0;15;32;1;26;32;-1;3;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;7;30000;0;15;32;1;4;32;-2;2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;9;30000;0;15;16;1;18;32;-2;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;13;30000;0;15;32;1;8;32;-1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;17;30000;0;8;32;1;1;1;-1;1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;24;30000;0;15;8;1;14;32;-1;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;25;30000;0;15;8;1;3;32;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;26;30000;0;15;8;1;4;32;-1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;28;30000;0;15;32;1;16;32;1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;32;30000;0;8;32;1;1;1;1;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;5;45;30000;0;8;8;1;1;32;-1;1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;4;30000;0;15;32;1;12;32;-1;2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;5;30000;0;15;32;1;16;32;-1;2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;7;30000;0;15;32;1;2;32;1;2;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;9;30000;0;15;16;1;6;32;-1;2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;13;30000;0;15;8;1;31;32;0;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;25;30000;0;15;8;1;13;32;-2;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;26;30000;0;15;8;1;7;32;1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;28;30000;0;15;8;1;6;32;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;32;30000;0;15;32;1;8;32;0;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;7;45;30000;0;8;8;1;1;32;-2;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;4;30000;0;17;8;1;13;32;-2;1;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;5;30000;0;16;32;1;17;32;-1;3;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;7;30000;0;15;32;1;28;32;-1;2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;9;30000;0;15;32;1;9;32;1;3;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;13;30000;0;14;32;1;29;32;-2;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;22;30000;0;9;8;1;24;32;1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;25;30000;0;9;8;1;11;32;1;4;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;26;30000;0;9;8;1;7;32;-1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;28;30000;0;7;8;1;19;32;0;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;32;30000;0;4;8;1;1;32;1;0;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;9;45;30000;0;3;8;1;1;32;1;-2;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;4;30000;0;22;32;1;12;1;-2;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;5;30000;0;15;32;1;21;1;1;1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;7;30000;0;16;8;1;2;32;0;-2;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;9;30000;0;15;32;1;8;32;0;3;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;13;30000;0;15;32;1;1;1;-1;-2;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;14;30000;0;30;32;1;25;32;-2;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;17;30000;0;11;32;1;1;1;-2;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;24;30000;0;30;8;1;28;32;-2;4;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;25;30000;0;15;32;1;16;32;-1;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;26;30000;0;30;8;1;31;32;0;0;0;1;0;1;0;1;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;28;30000;0;30;8;1;6;32;0;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;32;30000;0;10;32;1;1;1;-1;1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;13;45;30000;0;5;8;1;1;32;-2;-2;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;14;13;30000;0;16;32;1;3;32;0;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;14;14;30000;0;15;8;1;14;32;-1;4;0;0;0;1;0;1;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;14;25;30000;0;30;8;1;19;32;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;14;26;30000;0;30;8;1;3;32;1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;14;29;30000;0;30;32;1;23;32;-1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;14;32;30000;0;3;16;1;1;32;1;4;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;17;4;30000;0;30;16;1;10;32;-2;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;17;5;30000;0;30;8;1;24;32;-1;-1;0;0;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;17;13;30000;0;15;32;1;3;32;0;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;17;17;30000;0;15;32;1;3;1;0;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;17;32;30000;0;9;8;1;1;1;0;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;20;5;30000;0;32;32;1;16;32;0;3;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;20;6;30000;0;30;8;1;15;32;0;4;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;20;13;30000;0;15;32;1;3;32;0;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;20;20;30000;0;15;32;1;2;32;0;0;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;20;32;30000;0;15;32;1;6;32;-1;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;22;9;30000;0;15;32;1;18;32;0;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;22;22;30000;0;26;8;1;9;32;0;4;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;22;32;30000;0;15;32;1;6;32;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;24;5;30000;0;28;8;1;3;32;-1;4;0;1;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;24;13;30000;0;15;32;1;3;32;0;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;24;24;30000;0;18;32;1;32;32;-2;4;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;24;26;30000;0;12;8;1;1;32;-2;-2;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;24;32;30000;0;10;8;1;1;1;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;4;30000;0;31;8;1;29;32;-1;-1;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;5;30000;0;31;32;1;3;32;0;3;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;7;30000;0;30;16;1;27;32;0;2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;9;30000;0;15;32;1;18;32;0;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;13;30000;0;15;32;1;3;32;0;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;14;30000;0;20;8;1;22;32;-2;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;25;30000;0;12;32;1;22;32;1;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;26;30000;0;10;32;1;3;32;1;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;28;30000;0;15;32;1;3;32;-1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;32;30000;0;30;16;1;1;32;-1;3;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;25;45;30000;0;1;32;1;24;32;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;4;30000;0;30;8;1;4;32;0;4;0;1;0;1;0;2;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;5;30000;0;30;32;1;17;32;0;3;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;7;30000;0;30;32;1;32;32;-1;2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;9;30000;0;15;32;1;19;32;0;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;13;30000;0;16;32;1;3;32;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;14;30000;0;15;32;1;2;32;0;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;24;30000;0;12;32;1;29;32;-2;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;25;30000;0;9;8;1;12;32;1;4;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;26;30000;0;10;8;1;4;1;1;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;28;30000;0;12;8;1;24;32;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;32;30000;0;15;32;1;2;32;-2;1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;26;45;30000;0;4;8;1;1;32;1;-1;0;0;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;4;30000;0;32;8;1;11;32;-2;-1;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;5;30000;0;31;32;1;4;32;-2;3;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;7;30000;0;31;16;1;8;32;-2;2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;9;30000;0;15;32;1;23;32;0;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;13;30000;0;30;8;1;28;32;-1;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;25;30000;0;10;8;1;8;32;0;-2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;26;30000;0;12;8;1;22;32;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;28;30000;0;12;8;1;7;32;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;32;30000;0;15;32;1;6;32;-1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;28;45;30000;0;1;32;1;10;32;-1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;29;14;30000;0;59;16;1;6;32;-1;4;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;29;29;30000;0;12;16;1;20;32;1;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;29;32;30000;0;20;8;1;1;32;-2;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;29;55;30000;0;60;8;1;30;32;-2;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;4;30000;0;35;32;1;1;32;-1;1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;5;30000;0;25;32;1;1;32;1;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;6;30000;0;25;32;1;1;32;-2;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;7;30000;0;27;32;1;1;32;-1;1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;9;30000;0;25;32;1;1;32;1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;13;30000;0;25;32;1;1;32;1;0;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;14;30000;0;15;32;1;6;32;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;17;30000;0;15;32;1;1;32;-2;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;20;30000;0;25;32;1;1;32;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;22;30000;0;15;32;1;6;1;0;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;24;30000;0;15;32;1;1;32;-2;-2;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;25;30000;0;9;32;1;1;32;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;26;30000;0;15;32;1;1;32;-1;1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;28;30000;0;15;32;1;1;32;-2;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;29;30000;0;15;32;1;1;32;1;0;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;32;30000;0;15;32;1;9;32;-1;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;45;30000;0;15;32;1;1;32;-2;1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;32;55;30000;0;23;32;1;1;32;-1;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;4;30000;0;61;16;1;6;45;0;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;5;30000;0;28;16;1;25;45;1;-2;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;7;30000;0;27;32;1;24;45;0;3;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;9;30000;0;28;16;1;5;45;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;13;30000;0;30;32;1;3;45;0;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;25;30000;0;16;8;1;28;45;-2;-1;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;26;30000;0;50;8;1;27;45;0;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;28;30000;0;16;16;1;3;45;0;4;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;32;30000;0;17;16;1;1;45;1;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;45;45;30000;0;1;16;1;17;45;-1;-1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;55;29;30000;0;7;8;1;7;55;0;4;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;55;32;30000;0;5;16;1;11;55;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;32;55;55;30000;0;5;8;1;1;55;0;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;35;17;17;30000;0;18;35;1;27;35;-1;0;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;35;17;32;30000;0;8;8;1;26;1;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;35;32;35;30000;0;6;8;1;28;35;0;-2;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;35;35;32;30000;0;6;8;1;33;35;-1;-2;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;35;35;35;30000;0;7;8;1;9;1;0;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;36;36;36;30000;0;6;8;1;9;36;-1;5;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;40;40;40;30000;0;4;8;1;31;1;0;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;4;4;30000;0;19;8;1;2;45;-2;6;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;7;45;30000;0;1;8;1;2;45;1;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;9;45;30000;0;30;8;1;20;45;-2;6;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;13;13;30000;0;13;8;1;34;45;1;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;13;25;30000;0;7;8;1;25;45;-2;6;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;13;26;30000;0;8;8;1;18;45;0;6;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;13;28;30000;0;8;8;1;35;45;0;6;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;13;32;30000;0;6;8;1;9;45;1;6;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;13;45;30000;0;2;8;1;37;45;-2;-1;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;25;13;30000;0;16;8;1;25;45;1;-1;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;25;25;30000;0;16;8;1;13;45;-2;6;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;25;26;30000;0;16;45;1;24;45;-1;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;25;28;30000;0;8;45;1;26;45;-1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;25;32;30000;0;16;45;1;24;45;-1;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;25;45;30000;0;3;8;1;45;45;-1;6;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;26;13;30000;0;27;8;1;9;45;1;6;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;26;25;30000;0;20;8;1;4;45;0;6;0;1;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;26;26;30000;0;16;45;1;2;45;-2;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;26;28;30000;0;8;45;1;2;45;-2;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;26;32;30000;0;16;45;1;27;45;-1;0;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;26;45;30000;0;1;45;1;26;45;-1;-1;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;28;13;30000;0;11;24;1;18;45;1;5;0;1;0;1;0;1;1;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;28;25;30000;0;9;8;1;16;45;0;6;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;28;26;30000;0;16;45;1;35;45;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;28;28;30000;0;16;45;1;2;45;1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;28;32;30000;0;16;8;1;8;45;0;6;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;28;45;30000;0;6;45;1;1;45;1;6;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;32;13;30000;0;12;8;1;35;45;0;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;32;25;30000;0;16;8;1;3;45;0;6;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;32;26;30000;0;16;45;1;33;45;0;-1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;32;28;30000;0;5;16;1;12;45;0;3;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;32;32;30000;0;16;45;1;11;45;1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;32;45;30000;0;1;45;1;29;45;1;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;45;7;30000;0;30;45;1;2;45;-2;-1;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;45;9;30000;0;30;45;1;27;45;0;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;45;13;30000;0;18;8;1;21;45;-2;6;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;45;25;30000;0;10;8;1;33;45;-2;6;0;1;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;45;26;30000;0;10;45;1;7;45;-2;-1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;45;28;30000;0;30;45;1;2;45;0;-2;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;45;32;30000;0;30;45;1;12;45;-2;1;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;45;45;45;30000;0;1;45;1;18;45;-2;0;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;50;20;50;30000;0;3;50;1;32;50;-1;7;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;16;16;30000;0;30;8;1;1;55;-1;-2;0;0;0;1;0;2;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;16;29;30000;0;10;16;1;52;55;1;6;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;16;55;30000;0;3;16;1;38;55;0;5;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;29;16;30000;0;16;55;1;12;55;-1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;29;29;30000;0;16;55;1;9;55;-1;-2;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;29;32;30000;0;11;8;1;55;55;0;7;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;29;55;30000;0;2;16;1;16;55;-1;6;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;32;29;30000;0;16;55;1;17;55;-1;0;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;32;32;30000;0;3;55;1;2;55;0;4;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;32;55;30000;0;3;16;1;48;55;1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;55;16;30000;0;15;55;1;13;55;-1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;55;29;30000;0;30;55;1;7;55;-1;1;0;1;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;55;32;30000;0;1;55;1;30;55;0;0;0;0;0;1;0;0;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;55;55;55;30000;0;30;55;1;1;55;-2;1;0;0;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;64;64;64;30000;0;63;8;1;1;64;1;1;0;1;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;76;30;30;30000;0;10;16;1;50;76;1;7;0;0;0;1;0;2;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;76;30;76;30000;0;5;76;1;1;76;-1;9;0;1;0;1;0;2;0;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;76;76;30;30000;0;10;40;1;54;76;0;2;0;0;0;1;0;0;2;0;1\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;76;76;76;30000;0;6;16;1;1;76;-2;6;0;0;0;1;0;0;2;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;78;78;78;30000;0;4;8;1;26;78;1;-1;0;1;0;1;0;0;0;0;0\nIntel(R) Data Center GPU Max 1550 [0x0bd5];3;117;9;9;30000;0;20;8;1;95;117;-1;-1;0;0;0;1;0;0;0;0;1\n" }, { "path": "src/acc/opencl/smm/params/tune_multiply_V100.csv", "content": "DEVICE;TYPEID;M;N;K;S;GFLOPS;BS;BM;BN;BK;WS;WG;LU;NZ;AL;TB;TC;AP;AA;AB;AC\nTesla V100-PCIE-16GB [0xb271];3;2;2;2;30000;35.1;12;1;1;2;0;-1;1;0;0;1;1;0;0;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;3;3;3;30000;93.7;12;3;1;3;0;-2;-1;0;0;0;1;0;0;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;4;30000;192.8;12;4;1;4;0;-2;0;0;0;0;1;0;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;5;30000;209.3;12;4;1;3;0;-2;0;0;0;1;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;7;30000;240.6;15;4;1;4;0;-1;-1;0;0;1;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;9;30000;254.8;8;4;1;2;0;-1;-1;0;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;10;30000;264.8;13;4;1;4;0;-2;0;0;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;13;30000;282.9;15;4;1;3;0;0;-1;0;0;1;1;0;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;15;30000;283.7;12;4;1;2;0;-2;-1;0;0;1;0;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;25;30000;310.8;25;4;1;4;0;0;-1;0;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;26;30000;308.3;4;4;1;2;0;-2;1;0;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;28;30000;316.8;25;4;1;4;0;0;0;0;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;4;32;30000;318.9;3;4;1;2;0;0;-2;0;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;5;4;30000;216.7;8;4;1;3;0;-1;0;0;0;0;1;0;0;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;5;5;30000;226.0;12;4;1;4;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;5;7;30000;274.4;12;4;1;4;0;1;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;5;9;30000;302.3;12;4;1;4;0;-2;0;1;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;5;13;30000;337.3;15;4;1;2;0;0;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;5;25;30000;386.3;15;4;1;2;0;1;-1;0;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;7;4;30000;290.9;15;4;1;4;0;-1;-1;1;0;1;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;7;5;30000;311.1;12;4;1;3;0;-2;-1;0;0;1;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;7;7;30000;381.1;12;4;1;4;0;-2;-1;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;7;9;30000;423.7;12;4;1;3;0;-1;-1;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;7;13;30000;460.8;15;4;1;2;0;-2;0;0;0;1;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;9;4;30000;353.8;15;4;1;1;0;-2;-1;1;0;0;1;0;2;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;9;5;30000;387.9;12;4;1;4;0;-1;0;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;9;7;30000;481.5;12;4;1;2;0;1;-2;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;9;9;30000;531.4;12;4;1;4;0;-1;-1;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;9;13;30000;587.2;15;4;1;2;0;0;1;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;10;4;30000;394.9;15;4;1;2;0;0;-1;1;0;1;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;10;10;30000;593.4;13;4;1;2;0;1;1;0;0;1;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;13;4;30000;460.4;20;4;1;2;0;1;1;1;0;1;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;13;5;30000;491.0;12;4;1;4;0;-2;-1;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;13;7;30000;606.8;13;4;1;2;0;1;-1;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;13;9;30000;659.9;15;4;1;2;0;-2;-1;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;15;4;30000;484.4;24;4;1;4;0;-2;-1;0;0;1;1;1;0;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;25;4;30000;672.2;24;4;1;1;0;-2;0;1;0;1;1;0;2;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;25;5;30000;741.7;24;4;1;4;0;-1;-2;1;0;1;1;1;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;26;4;30000;692.1;20;4;1;2;0;-1;-1;1;0;1;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;28;4;30000;720.9;25;4;1;1;0;0;0;1;0;1;1;0;2;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;4;32;4;30000;760.2;24;4;1;4;0;0;-2;1;0;1;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;4;4;30000;242.9;12;5;1;2;0;0;0;0;0;0;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;4;5;30000;247.6;20;5;1;5;0;1;-1;0;0;0;1;0;2;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;4;7;30000;282.4;12;5;1;5;0;0;1;0;0;0;1;1;2;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;4;9;30000;303.9;12;5;1;4;0;-2;-1;0;0;1;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;4;13;30000;245.5;7;5;1;2;0;-2;1;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;4;25;30000;375.3;20;5;1;3;0;1;-1;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;5;4;30000;257.8;14;5;1;2;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;5;5;30000;300.3;15;5;1;2;0;-1;-2;0;0;1;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;5;7;30000;338.9;20;5;1;3;0;-1;-2;0;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;5;9;30000;364.9;20;5;1;2;0;-1;1;0;0;1;1;0;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;5;13;30000;393.2;20;5;1;5;0;-1;-1;0;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;7;4;30000;314.7;12;5;1;2;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;7;5;30000;360.8;12;5;1;4;0;1;-2;1;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;7;7;30000;435.2;12;5;1;2;0;-2;0;1;0;1;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;7;9;30000;479.6;13;5;1;3;0;1;-2;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;7;13;30000;523.5;12;5;1;5;0;-1;0;1;0;0;1;0;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;9;4;30000;386.9;12;5;1;3;0;-1;-1;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;9;5;30000;454.4;12;5;1;4;0;0;-2;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;9;7;30000;551.2;12;5;1;5;0;-2;0;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;9;9;30000;596.0;13;5;1;3;0;1;-2;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;13;4;30000;498.9;13;5;1;3;0;-1;0;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;13;5;30000;569.6;12;5;1;5;0;1;0;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;13;7;30000;699.9;13;5;1;4;0;-2;-2;1;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;13;13;30000;844.8;20;5;1;4;0;0;0;0;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;5;25;4;30000;593.2;11;5;1;5;0;0;0;0;0;0;1;1;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;7;5;5;30000;399.0;16;2;1;5;0;-1;-2;0;0;0;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;7;5;7;30000;438.8;20;2;1;3;0;0;-1;0;0;1;1;1;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;7;7;5;30000;506.3;15;1;2;6;0;-1;-2;1;0;1;1;0;2;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;7;7;7;30000;531.5;20;2;1;4;0;1;-2;1;0;1;1;0;0;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;7;7;13;30000;635.9;24;7;1;5;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;7;13;13;30000;1037.5;20;7;1;5;0;0;-2;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;9;13;30000;905.3;25;9;1;7;0;0;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;13;9;30000;1027.6;20;9;1;2;0;0;0;0;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;13;13;30000;1136.0;20;9;1;8;0;1;-1;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;16;16;30000;1367.4;24;9;1;2;0;1;-1;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;22;16;30000;1569.6;24;9;1;6;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;22;22;30000;1665.8;25;9;1;5;0;-2;-2;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;32;9;30000;1604.0;30;9;1;2;0;0;-1;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;32;22;30000;1944.9;50;9;1;4;0;0;1;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;9;32;32;30000;2154.3;50;9;1;3;0;0;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;5;5;30000;515.2;25;3;1;7;0;0;1;1;0;0;1;1;2;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;5;7;30000;547.3;13;3;1;8;0;0;1;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;5;13;30000;596.1;24;2;1;2;0;0;-2;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;7;5;30000;636.4;18;2;2;4;0;0;1;1;0;1;1;1;2;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;13;7;13;30000;811.2;12;13;1;12;0;0;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;9;9;30000;857.9;20;13;1;3;0;0;0;0;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;9;13;30000;885.8;25;13;1;2;0;1;0;0;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;13;5;30000;1009.6;24;13;1;8;0;1;0;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;13;7;30000;1189.4;25;13;1;10;0;1;-1;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;13;9;30000;1294.8;24;13;1;10;0;-1;-2;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;13;13;13;30000;1351.9;25;13;1;10;0;-1;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;16;9;16;30000;1054.4;12;16;1;4;0;-1;-2;1;0;1;1;1;0;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;16;9;22;30000;1094.0;25;16;1;5;0;0;-2;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;16;16;9;30000;1631.8;25;16;1;2;0;-1;-1;1;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;16;16;16;30000;1809.8;25;16;1;16;0;0;0;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;16;16;22;30000;1847.2;50;16;1;12;0;1;-2;1;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;16;22;9;30000;1783.9;25;16;1;6;0;-2;-1;1;0;1;1;0;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;16;22;16;30000;1999.5;40;16;1;16;0;-1;-2;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;16;22;22;30000;1934.5;25;16;1;14;0;0;0;0;0;0;1;0;1;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;20;20;20;30000;1986.9;40;20;1;13;0;1;-2;1;0;1;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;9;9;30000;809.5;20;22;1;17;0;-1;0;0;0;0;1;1;1;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;22;9;16;30000;1256.9;26;22;1;1;0;-2;-1;1;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;9;22;30000;1271.4;30;22;1;1;0;-2;1;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;9;32;30000;1371.7;24;22;1;1;0;0;-2;1;0;1;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;16;9;30000;1629.0;25;22;1;7;0;1;0;0;0;0;1;1;1;0;1;0\nTesla V100-PCIE-16GB [0xb271];3;22;16;16;30000;2019.3;30;22;1;1;0;-2;0;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;16;22;30000;2279.6;50;22;1;9;0;0;0;1;0;1;1;1;1;1;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;22;9;30000;2034.8;50;22;1;6;0;1;1;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;22;16;30000;1982.0;40;22;1;15;0;-2;0;1;0;0;1;1;1;0;1;0\nTesla V100-PCIE-16GB [0xb271];3;22;22;22;30000;2292.6;24;22;1;19;0;0;-2;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;22;32;30000;1891.9;14;22;1;14;0;-1;-1;0;0;1;1;0;1;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;22;32;9;30000;2402.7;40;22;1;13;0;1;0;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;32;22;30000;2739.0;50;22;1;15;0;-1;0;1;0;1;1;1;1;1;0;0\nTesla V100-PCIE-16GB [0xb271];3;22;32;32;30000;3198.7;50;22;1;15;0;1;0;0;0;1;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;23;23;23;30000;2459.7;50;23;1;14;0;0;0;1;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;24;24;24;30000;2071.2;38;24;1;21;0;0;0;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;24;24;26;30000;2642.7;50;24;1;20;0;-1;0;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;24;24;32;30000;2244.6;50;24;1;17;0;-1;1;0;0;0;1;1;1;0;1;0\nTesla V100-PCIE-16GB [0xb271];3;24;26;24;30000;2711.3;50;24;1;20;0;1;-2;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;24;26;26;30000;2121.7;48;24;1;2;0;1;-1;0;0;0;1;1;1;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;24;26;32;30000;2144.4;4;24;1;19;0;0;0;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;24;32;24;30000;2902.7;50;24;1;11;0;1;-1;1;0;0;1;0;1;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;24;32;26;30000;2408.9;25;24;1;16;0;0;-1;1;0;1;1;1;1;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;24;32;32;30000;3031.2;40;24;1;13;0;-1;-2;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;25;4;4;30000;291.1;24;25;1;3;0;1;0;0;0;1;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;25;4;5;30000;316.7;24;25;1;19;0;0;-2;0;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;25;5;4;30000;328.2;14;25;1;7;0;0;1;1;0;0;1;0;1;0;1;0\nTesla V100-PCIE-16GB [0xb271];3;25;25;25;30000;2349.7;24;25;1;1;0;-1;-2;1;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;26;4;4;30000;306.9;1;26;1;26;0;-1;-1;1;0;1;1;1;2;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;26;24;24;30000;1976.0;21;26;1;26;0;-1;-1;0;0;1;1;1;1;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;26;24;26;30000;2405.2;50;26;1;26;0;1;0;0;0;1;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;26;24;32;30000;2449.8;50;26;1;23;0;1;-2;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;26;26;24;30000;2180.2;48;26;1;3;0;-2;0;0;0;0;1;1;1;0;1;0\nTesla V100-PCIE-16GB [0xb271];3;26;26;26;30000;2978.2;50;26;1;19;0;0;-2;1;0;0;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;26;26;32;30000;2410.9;50;26;1;5;0;0;-2;0;0;1;1;0;1;0;1;0\nTesla V100-PCIE-16GB [0xb271];3;26;32;24;30000;3304.4;50;26;1;15;0;1;-2;0;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;26;32;26;30000;2762.0;60;26;1;18;0;-1;-2;1;0;1;1;0;1;1;0;0\nTesla V100-PCIE-16GB [0xb271];3;26;32;32;30000;2593.6;32;26;1;26;0;-1;0;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;28;4;4;30000;271.5;14;28;1;18;0;-1;-2;0;0;1;1;1;1;2;1;0\nTesla V100-PCIE-16GB [0xb271];3;28;28;28;30000;2548.1;50;28;1;1;0;0;-2;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;30;30;30;30000;2542.6;32;30;1;30;0;-1;0;0;0;0;1;0;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;24;24;30000;2442.3;40;32;1;24;0;1;0;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;24;26;30000;2213.6;16;32;1;17;0;1;-2;0;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;24;32;30000;1755.0;1;32;1;12;0;0;0;0;0;0;1;0;1;1;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;26;24;30000;2360.4;32;32;1;32;0;1;0;0;0;1;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;26;26;30000;2579.2;40;32;1;31;0;-1;0;1;0;1;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;26;32;30000;2487.2;40;32;1;29;0;0;0;1;0;0;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;32;9;30000;2755.0;50;32;1;22;0;1;-2;0;0;0;1;0;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;32;22;30000;2680.6;32;32;1;31;0;-1;0;1;0;1;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;32;24;30000;2742.6;54;32;1;22;0;0;-2;1;0;1;1;1;1;1;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;32;26;30000;3464.2;50;32;1;27;0;-1;0;0;0;1;1;0;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;32;32;32;30000;3267.1;50;32;1;31;0;1;-2;1;0;0;1;1;1;2;0;0\nTesla V100-PCIE-16GB [0xb271];3;35;35;35;30000;2236.7;9;35;1;25;0;0;-2;0;0;1;1;1;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;36;36;36;30000;2138.9;71;36;1;1;0;1;-2;1;0;0;1;0;1;0;0;0\nTesla V100-PCIE-16GB [0xb271];3;40;40;40;30000;2291.0;9;40;1;1;0;0;0;1;0;0;1;1;1;1;0;0\nTesla V100-PCIE-16GB [0xb271];3;45;45;45;30000;2754.3;50;45;1;29;0;0;0;1;0;0;1;1;1;2;0;0\n" }, { "path": "src/acc/opencl/smm/requirements.txt", "content": "wheel\nopentuner\n" }, { "path": "src/acc/opencl/smm/tune_multiply.py", "content": "#!/usr/bin/env python3\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: BSD-3-Clause #\n####################################################################################################\nimport opentuner\nfrom opentuner.search.manipulator import IntegerParameter\nfrom opentuner.tuningrunmain import TuningRunMain\nfrom opentuner import ConfigurationManipulator\nfrom opentuner import MeasurementInterface\nfrom opentuner import Result\nfrom signal import signal, SIGINT\nimport tempfile\nimport copy\nimport json\nimport glob\nimport math\nimport sys\nimport re\nimport os\n\ndefault_enable_tune = {\"tune\", \"enabled\", \"on\"}\ndefault_basename = \"tune_multiply\"\ndefault_mnk = \"23x23x23\"\ndefault_dbg = False\ndefault_retry = 1\ndefault_vlen = 8\n\ntype_dp = 3\ntype_sp = 1\n\n\ndef start(args):\n \"\"\"Construct and start tuner instance\"\"\"\n instance = SmmTuner(args)\n if not default_dbg:\n for retry in range(default_retry):\n try:\n TuningRunMain(instance, args).main()\n return\n except Exception as e:\n ign = (\n \"[{}/{}]\".format(retry + 1, default_retry)\n if 1 < default_retry\n else \"\"\n )\n print(\"IGNORED{} {}: {}\".format(ign, type(e).__name__, e))\n pass\n instance.save_final_config(None, True)\n else:\n TuningRunMain(instance, args).main()\n\n\ndef env_intvalue(env, default, lookup=True):\n value = os.getenv(env, default) if lookup else env if env is not None else default\n try:\n return int(value)\n except ValueError:\n return int(default)\n\n\ndef ilog2(n):\n i, t = (0 if 1 != n else 1), 1\n while t < n:\n t <<= 1\n i += 1\n return i\n\n\nclass SmmTuner(MeasurementInterface):\n def __init__(self, args):\n \"\"\"Setup common state and define search space\"\"\"\n super(SmmTuner, self).__init__(args)\n mnk = tuple(max(int(i), 1) for i in self.args.mnk.split(\"x\"))\n self.mnk = (mnk + (mnk[0], mnk[0]))[:3]\n self.wsx = self.mnk[0] * self.mnk[1]\n self.manip = ConfigurationManipulator()\n # sanitize input arguments\n self.args.mb = max(self.args.mb, 1)\n self.args.bs = max(min(self.args.bs, self.args.mb), 1)\n self.args.bm = [max(self.args.bm, 1), self.mnk[0]][0 == self.args.bm]\n self.args.bn = [max(self.args.bn, 1), 1][0 == self.args.bn]\n self.args.bk = [max(self.args.bk, 1), self.mnk[2]][0 == self.args.bk]\n self.args.ws = min(self.args.ws, self.wsx)\n self.gfbase = self.gfsave = self.gflops = self.gflogs = self.gfscnt = 0\n self.config = self.typename = self.typeid = self.device = self.size = None\n self.bs = self.bm = self.bn = self.bk = self.ws = self.wg = self.lu = None\n self.nz = self.al = self.tb = self.tc = None\n self.ap = self.aa = self.ab = self.ac = None\n self.idevice, self.ndevices = None, 0\n self.exepath = os.path.join(\n os.path.dirname(sys.argv[0]), \"..\", \"..\", \"acc_bench\"\n )\n runcmd = self.launch([\"ACC_OPENCL_VERBOSE=2\"], 0, nrep=1)\n self.run_result = ( # verbosity to capture device name and tuned parameters\n self.call_program(\" \".join(runcmd))\n if ( # consider validating parameters during merge\n (self.args.merge is None or 0 > self.args.merge)\n or (self.args.check is None or 0 != self.args.check)\n )\n and (self.args.update is None or \"\" == self.args.update)\n else None\n )\n if self.run_result:\n stdout = str(self.run_result[\"stdout\"])\n if 0 >= self.args.size:\n sizepat = \"(\\\\w+)\\\\s+[0-9]+\\\\s+([0-9]+)\"\n size = re.search(sizepat, stdout)\n self.size = int(size.group(2)) if size and size.group(2) else 0\n else:\n self.size = self.args.size\n typename = re.search(\"typename \\\\(id=([0-9]+)\\\\):\\\\s+(\\\\w+)\", stdout)\n self.typename = typename.group(2) if typename and typename.group(2) else \"\"\n self.typeid = (\n int(typename.group(1)) if typename and typename.group(1) else 0\n )\n devicepat = (\n 'INFO ACC/OpenCL:\\\\s+ndevices=([0-9]+)\\\\s+device[0-9]+=\"([^\"]+)\"'\n )\n device = re.search(devicepat, str(self.run_result[\"stderr\"]))\n self.ndevices = int(device.group(1)) if device and device.group(1) else 0\n self.device = device.group(2) if device and device.group(2) else \"\"\n # idevice: make certain resources/names unique on a per-rank basis\n envrank_mpich = os.getenv(\"PMI_RANK\") # global\n envrank_ompi = os.getenv(\"OMPI_COMM_WORLD_LOCAL_RANK\", envrank_mpich)\n envrank = os.getenv(\"MPI_LOCALRANKID\", envrank_ompi)\n if envrank:\n self.idevice = int(envrank) % self.ndevices\n elif self.args.update is not None and \"\" != self.args.update:\n self.device = self.args.update\n if self.run_result and 0 == self.run_result[\"returncode\"]:\n seedpat = \"INFO ACC/LIBSMM:\\\\s+SMM-kernel\\\\s+{}={}\\\\s+gen=\".format(\n \"{t,m,n,k, bs,bm,bn,bk, ws,wg, lu,nz,al, tb,tc, ap,aa,ab,ac}\",\n \"{{{}, {}}}\".format( # key and value\n \"{},{}\".format( # t,m,n,k (key)\n self.typeid, \",\".join(map(str, self.mnk))\n ),\n \"{}, {}, {}, {}, {}\".format( # value: if neg. \"-*[0-9]+\"\n \"(-*[0-9]+),(-*[0-9]+),(-*[0-9]+),(-*[0-9]+)\", # bs,bm,bn,bk\n \"(-*[0-9]+),(-*[0-9]+)\", # ws,wg\n \"(-*[0-9]+),(-*[0-9]+),(-*[0-9]+)\", # lu,nz,al\n \"(-*[0-9]+),(-*[0-9]+)\", # tb,tc\n \"(-*[0-9]+),(-*[0-9]+),(-*[0-9]+),(-*[0-9]+)(, .+)*\", # ap,aa,ab,ac[, ext]\n ),\n ),\n )\n seed = re.search(seedpat, str(self.run_result[\"stderr\"]))\n nprm = len(seed.groups()) if seed else 0\n if 15 > nprm:\n print(\"WARNING: missed to parse initial parameters!\")\n maxlu = (self.mnk[0] + default_vlen - 1) / default_vlen\n # setup fixed and tunable parameters\n params, paramt = [], []\n self.create_param(\"BS\", params, paramt, seed, 1, 1, self.args.mb)\n self.create_param(\"BM\", params, paramt, seed, 2, 1, self.mnk[0])\n self.create_param(\"BN\", params, paramt, seed, 3, 1, self.mnk[1])\n self.create_param(\"BK\", params, paramt, seed, 4, 1, self.mnk[0])\n self.create_param(\"WS\", params, paramt, seed, 5, 1, self.wsx)\n self.create_param(\"WG\", params, paramt, seed, 6, -2, 1, False) # avoid WG=2\n self.create_param(\"LU\", params, paramt, seed, 7, -2, maxlu)\n self.create_param(\"NZ\", params, paramt, seed, 8, 0, 1)\n self.create_param(\"AL\", params, paramt, seed, 9, 0, 1)\n self.create_param(\"TB\", params, paramt, seed, 10, 0, 1)\n self.create_param(\"TC\", params, paramt, seed, 11, 0, 1)\n self.create_param(\"AP\", params, paramt, seed, 12, 0, 1)\n self.create_param(\"AA\", params, paramt, seed, 13, 0, 2)\n self.create_param(\"AB\", params, paramt, seed, 14, 0, 2)\n self.create_param(\"AC\", params, paramt, seed, 15, 0, 1)\n if 15 < nprm and seed.group(16) and 2 < len(seed.group(16)):\n self.create_param(\"XF\", params, paramt, seed.group(16)[2:], -1, 0, 1)\n else:\n self.create_param(\"XF\", params, paramt, 0, -1, 0, 1)\n if not paramt:\n sys.tracebacklimit = 0\n raise RuntimeError(\n \"All parameters are fixed with environment variables!\"\n )\n for param in params + paramt:\n self.manip.add_parameter(param)\n if (\n ( # consider to update and/or merge JSONS (update first)\n self.args.merge is not None\n and (0 <= self.args.merge or self.typeid)\n and (\n (self.args.check is not None and 0 == self.args.check)\n or (self.run_result and 0 == self.run_result[\"returncode\"])\n )\n )\n or (self.args.check is None or 0 != self.args.check)\n or (self.args.update is None or \"\" != self.args.update)\n ):\n filepattern = \"{}-*.json\".format(default_basename)\n filedot = \".\" + filepattern\n filenames = glob.glob(\n os.path.normpath(os.path.join(self.args.jsondir, filedot))\n )\n for filename in filenames:\n self.rename_dotfile(filename)\n filenames = glob.glob(\n os.path.normpath(os.path.join(self.args.jsondir, filepattern))\n )\n if self.args.update is None or \"\" != self.args.update:\n self.update_jsons(filenames)\n elif self.args.check is None or 0 != self.args.check:\n self.update_jsons(filenames)\n if 0 < self.gfscnt and self.args.check and 0 > self.args.check:\n gmn = math.exp(self.gflogs / self.gfscnt)\n print(\"Geometric mean of {} GFLOPS/s\".format(round(gmn)))\n elif self.args.merge is not None:\n self.merge_jsons(filenames)\n exit(0)\n elif (\n (self.typename and \"\" != self.typename)\n and (self.device and \"\" != self.device)\n and (self.typeid and 0 < self.ndevices)\n and (self.size and 0 < self.size)\n ): # setup database (DB)\n if self.args.database is None: # adjust DB-location\n tmpdir = os.path.join(tempfile.gettempdir(), \"opentuner\")\n if self.idevice is not None:\n tmpdir += str(self.idevice)\n try:\n os.mkdir(tmpdir)\n except: # noqa: E722\n pass\n self.args.database = \"sqlite:///\" + os.path.join(\n tmpdir, \"{}.db\".format(os.getpid())\n )\n if not self.args.label: # label for DB-session\n self.args.label = \"{}-{}-{}-s{}\".format(\n default_basename,\n self.typename,\n \"x\".join(map(str, self.mnk)),\n ilog2(self.size),\n )\n else:\n sys.tracebacklimit = 0\n raise RuntimeError(\"Setup failed for {}!\".format(self.exepath))\n # register signal handler (CTRL-C)\n signal(SIGINT, self.handle_sigint)\n self.handle_sigint_counter = 0\n\n def manipulator(self):\n return self.manip\n\n def create_param(\n self, name, params, paramt, match, match_id, value0, value1, expand=True\n ):\n \"\"\"Append integer-parameter to either params or paramt list\"\"\"\n value_key = \"OPENCL_LIBSMM_SMM_{}\".format(name)\n value_env = os.getenv(value_key)\n attribute = getattr(self, name.lower(), None)\n tunable = value_env in default_enable_tune\n if 0 <= match_id:\n if match and match.group(match_id):\n value = int(match.group(match_id))\n else:\n value = 0 if value_env is None else int(value_env)\n if not tunable:\n tunable = value_env is None\n else:\n if attribute is None:\n value = getattr(self.args, name.lower(), None)\n if value is None:\n value = int(value_env if match is None else match)\n else:\n value = int(attribute)\n if not tunable:\n tunable = value_env is None and 0 != value\n if tunable: # consider expanding value range according to seed\n v0 = min(value0, value) if expand else value0\n v1 = max(value1, value) if expand else value1\n paramt.append(IntegerParameter(name, v0, v1))\n else: # fixed parameter\n params.append(IntegerParameter(name, value, value))\n if attribute is None:\n setattr(self, name.lower(), value)\n\n def launch(self, envs, check=None, nrep=None, verbose=None):\n \"\"\"Launch executable supplying environment and arguments\"\"\"\n envlist = envs if isinstance(envs, list) else self.environment(envs)\n mnk = (envs[\"M\"], envs[\"N\"], envs[\"K\"]) if \"M\" in envs else self.mnk\n env_exe = \" \".join(map(str, envlist))\n if verbose is not None and 0 != int(verbose):\n msg = env_exe.replace(\"OPENCL_LIBSMM_SMM_\", \"\")\n print(\"{}: {}\".format(\"x\".join(map(str, mnk)), msg))\n env_std = \"OMP_PROC_BIND=TRUE OPENCL_LIBSMM_SMM_S=0\"\n env_jit = \"NEO_CACHE_PERSISTENT=0 CUDA_CACHE_DISABLE=1\"\n env_check = \"CHECK={}\".format(check if check is not None else 1)\n env_intrn = \"{} {}\".format( # consider device-id\n \"\" if self.idevice is None else \"ACC_OPENCL_DEVICE={}\".format(self.idevice),\n \"{} {} {}\".format(env_std, env_jit, env_check), # environment\n ).strip()\n arg_exe = \"{} {} {}\".format(\n self.args.r if nrep is None else nrep,\n self.size if self.size else self.args.size,\n \" \".join(map(str, mnk)),\n ).strip()\n return [env_exe, env_intrn, self.exepath, arg_exe]\n\n def seed_configurations(self):\n return [\n {\n \"BS\": self.bs if self.bs is not None else self.args.bs,\n \"BM\": self.bm if self.bm is not None else self.args.bm,\n \"BN\": self.bn if self.bn is not None else self.args.bn,\n \"BK\": self.bk if self.bk is not None else self.args.bk,\n \"WS\": self.ws if self.ws is not None else self.args.ws,\n \"WG\": self.wg if self.wg is not None else self.args.wg,\n \"NZ\": self.nz if self.nz is not None else self.args.nz,\n \"LU\": self.lu if self.lu is not None else self.args.lu,\n \"AL\": self.al if self.al is not None else self.args.al,\n \"TB\": self.tb if self.tb is not None else self.args.tb,\n \"TC\": self.tc if self.tc is not None else self.args.tc,\n \"AP\": self.ap if self.ap is not None else self.args.ap,\n \"AA\": self.aa if self.aa is not None else self.args.aa,\n \"AB\": self.ab if self.ab is not None else self.args.ab,\n \"AC\": self.ac if self.ac is not None else self.args.ac,\n \"XF\": self.xf if self.xf is not None else 0,\n }\n ]\n\n def objective(self):\n if 0 == self.args.tlevel:\n return opentuner.search.objective.MaximizeAccuracyMinimizeSize()\n else:\n return opentuner.search.objective.MaximizeAccuracy()\n\n def environment(self, config):\n return [\n \"OPENCL_LIBSMM_SMM_{}={}\".format(key, config[key])\n for key in sorted(config.keys())\n if 2 == len(key)\n ]\n\n def run(self, desired_result, input=None, limit=None, message=None, nrep=None):\n \"\"\"Run a configuration and return performance\"\"\"\n try:\n config = desired_result.configuration.data\n mnk = self.mnk\n except AttributeError:\n config = desired_result\n mnk = (config[\"M\"], config[\"N\"], config[\"K\"])\n skip = False\n if self.args.quick:\n if 1 == config[\"AA\"] or 1 == config[\"AB\"]:\n skip = True\n performance = None\n if not skip:\n runcmd = self.launch(config, self.args.check, nrep, self.args.verbose)\n self.run_result = self.call_program(\" \".join(runcmd))\n result = self.run_result[\"returncode\"] if self.run_result else 1\n if 0 == result:\n performance = re.search(\n \"device:\\\\s+([0-9]+[^ ]*) ms\\\\s+([0-9]+[^ ]*)\",\n str(self.run_result[\"stdout\"]),\n )\n if performance and performance.group(1) and performance.group(2):\n mseconds, gflops = float(performance.group(1)), float(performance.group(2))\n if 0 < gflops:\n self.gflogs = self.gflogs + math.log(gflops)\n self.gfscnt = self.gfscnt + 1\n if config is not desired_result:\n kernelreq = round((100.0 * config[\"BM\"] * config[\"BN\"]) / self.wsx)\n # gflops are reported as \"accuracy\" (console output)\n result = Result(time=mseconds, accuracy=gflops, size=kernelreq)\n if self.gflops < gflops: # keep best config in case of early exit\n self.config = desired_result.configuration\n self.gflops = gflops\n if 0 != self.gfbase:\n self.save_final_config(self.config, final=False)\n else: # seed configuration\n self.gfbase = gflops\n elif not self.args.verbose:\n if message:\n status = \"OK\"\n if 1 != int(nrep):\n gfbase = config[\"GFLOPS\"] if \"GFLOPS\" in config else 0\n if 0 < gfbase:\n status = \"{}x - \".format(round(gflops / gfbase, 2))\n status = status + \"{} GFLOPS/s\".format(round(gflops))\n print(\"{} - {}\".format(message, status), flush=True)\n else:\n print(\".\", end=\"\", flush=True)\n elif not skip: # return non-competitive/bad result in case of an error\n failed = runcmd[0].replace(\"OPENCL_LIBSMM_SMM_\", \"\")\n if message:\n msg = \"{} - FAILED\".format(message)\n else:\n msg = \"FAILED[{}] {}: {}\".format(\n result, \"x\".join(map(str, mnk)), failed\n )\n if config is not desired_result:\n result = Result(time=float(\"inf\"), accuracy=0.0, size=100.0)\n elif not self.args.verbose and not message:\n print(\"\")\n print(msg, flush=True)\n else:\n result = Result(time=float(\"inf\"), accuracy=0.0, size=100.0)\n return result\n\n def update_jsons(self, filenames):\n \"\"\"Update device name or verify all JSONs\"\"\"\n if self.device:\n n = len(filenames)\n for i, filename in enumerate(filenames):\n try:\n with open(filename, \"r\") as file:\n data = json.load(file)\n if self.args.check is None or 0 != self.args.check:\n progress, r = \"[{}/{}]: {}\".format(i + 1, n, filename), 1\n if self.args.check is not None:\n r = max(self.args.check, 0)\n if \"TYPEID\" in data and self.typeid == data[\"TYPEID\"]:\n self.run(data, message=progress, nrep=r)\n elif \"DEVICE\" in data and data[\"DEVICE\"] != self.device:\n print(\"Updated {} to {}.\".format(filename, self.device))\n data.update({\"DEVICE\": self.device})\n file.close()\n with open(filename, \"w\") as file:\n json.dump(data, file, sort_keys=True)\n file.write(\"\\n\")\n except (json.JSONDecodeError, KeyError):\n print(\"Failed to update {}.\".format(filename))\n else:\n print(\"Cannot determine device name.\")\n\n def make_csv_record(self, data, filename):\n \"\"\"Make key-value tuples from JSON-data\"\"\"\n device = data[\"DEVICE\"] if \"DEVICE\" in data else self.device\n value = (\n data[\"S\"] if \"S\" in data else 0, # pseudo key component\n data[\"GFLOPS\"] if \"GFLOPS\" in data else 0,\n data[\"BS\"],\n data[\"BM\"],\n data[\"BN\"],\n data[\"BK\"] if \"BK\" in data else 0,\n data[\"WS\"] if \"WS\" in data else 0,\n data[\"WG\"] if \"WG\" in data else 0,\n data[\"LU\"] if \"LU\" in data else 0,\n data[\"NZ\"] if \"NZ\" in data else 0,\n data[\"AL\"] if \"AL\" in data else 0,\n data[\"TB\"] if \"TB\" in data else 0,\n data[\"TC\"] if \"TC\" in data else 1,\n data[\"AP\"] if \"AP\" in data else 0,\n data[\"AA\"] if \"AA\" in data else 0,\n data[\"AB\"] if \"AB\" in data else 0,\n data[\"AC\"] if \"AC\" in data else 0,\n data[\"XF\"] if \"XF\" in data else 0,\n filename, # last entry\n )\n return (device, data[\"TYPEID\"], data[\"M\"], data[\"N\"], data[\"K\"]), value\n\n def merge_jsons(self, filenames):\n \"\"\"Merge all JSONs into a single CSV-file\"\"\"\n if not self.args.csvfile or (self.idevice is not None and 0 != self.idevice):\n return # early exit\n merged, retain, delete = dict(), dict(), []\n self.gflogs = self.gfscnt = skipcnt = 0\n for filename in filenames:\n try:\n with open(filename, \"r\") as file:\n data = json.load(file)\n if not data or (\n self.args.merge is not None\n and (\n (0 > self.args.merge and self.typeid != data[\"TYPEID\"])\n or (1 == self.args.merge and type_sp != data[\"TYPEID\"])\n or (2 == self.args.merge and type_dp != data[\"TYPEID\"])\n )\n ): # skip parameter set (JSON-file)\n skipcnt = skipcnt + 1\n continue\n key, value = self.make_csv_record(data, filename)\n except (json.JSONDecodeError, KeyError, TypeError):\n print(\"Failed to merge {} into CSV-file.\".format(filename))\n continue\n except: # noqa: E722\n continue\n pass\n if bool(data) and key in merged:\n gfbase, mname = merged[key][1], merged[key][-1]\n gflops, mtime = value[1], os.path.getmtime(mname)\n if gfbase < gflops: # merged data is worse\n if mtime < os.path.getmtime(filename): # older\n delete.append(mname)\n else:\n if key in retain:\n if retain[key][1] < gflops:\n delete.append(retain[key][-1])\n retain[key] = merged[key]\n else: # merged data is leading\n if mtime < os.path.getmtime(filename): # older\n if key in retain:\n if retain[key][1] < gflops:\n delete.append(retain[key][-1])\n retain[key] = value\n else:\n delete.append(filename)\n else:\n retain[key] = value\n else: # newer\n delete.append(filename)\n data = dict() # ensure data is not merged\n if bool(data) and ( # consider to finally validate result\n (self.args.check is not None and 0 == self.args.check)\n or 0 == self.run(data, nrep=1)\n ):\n merged[key] = value\n # replace older/best with latest/best (forced refresh)\n if self.args.delete and 3 <= self.args.delete:\n for key, value in retain.items():\n if key in merged:\n rname, mname = value[-1], merged[key][-1]\n if os.path.getmtime(mname) < os.path.getmtime(rname):\n retain[key] = merged[key]\n merged[key] = value\n # print/delete outperformed results\n if self.args.delete and 2 <= self.args.delete:\n rfiles = [v[-1] for v in retain.values()]\n delete = delete + rfiles\n if bool(delete):\n num, lst, msg = len(delete), \" \".join(delete), \"Remove\"\n if self.args.delete and 3 != self.args.delete:\n for filename in delete:\n try:\n os.remove(filename)\n except: # noqa: E722\n pass\n msg = \"Removed\"\n skipcnt = skipcnt + num\n print(\"{} {}: {}\".format(msg, num, lst))\n print(\"\")\n # write CSV-file and collect overall-statistics\n if bool(merged):\n with open(self.args.csvfile, \"w\") as csvfile:\n csvfile.write( # CSV header line with termination/newline\n \"{}{}{}{}{}{}{}{}{}\\n\".format( # key-part\n self.args.csvsep.join([\"DEVICE\", \"TYPEID\", \"M\", \"N\", \"K\"]),\n self.args.csvsep, # separator for value-part\n \"S\", # pseudo-key component\n self.args.csvsep,\n self.args.csvsep.join([\"GFLOPS\", \"BS\", \"BM\", \"BN\", \"BK\"]),\n self.args.csvsep,\n self.args.csvsep.join([\"WS\", \"WG\", \"LU\", \"NZ\", \"AL\"]),\n self.args.csvsep,\n self.args.csvsep.join([\"TB\", \"TC\", \"AP\", \"AA\", \"AB\", \"AC\"]),\n )\n )\n types = [key[1] for key in merged.keys()]\n pure = min(types) == max(types)\n for key, value in sorted(merged.items()): # CSV data lines (records)\n # FLOPS are normalized for double-precision (ratio of 1:2 assumed)\n gflops = value[1] if pure or type_sp != key[1] else value[1] * 0.5\n values = list(value[:-1])\n if self.args.nogflops:\n values[1] = 0 # zero instead of gflops written into CSV-file\n if 0 < gflops:\n self.gflogs = self.gflogs + math.log(gflops)\n self.gfscnt = self.gfscnt + 1\n strkey = self.args.csvsep.join([str(k) for k in key])\n strval = self.args.csvsep.join([str(v) for v in values])\n csvfile.write(\"{}{}{}\\n\".format(strkey, self.args.csvsep, strval))\n # print summary information\n msg = \"Merged {} of {} JSONs into {}\".format(\n len(merged), len(filenames) - skipcnt, self.args.csvfile\n )\n if 0 < self.gfscnt:\n gmn = math.exp(self.gflogs / self.gfscnt)\n msg = \"{} (geometric mean of {} GFLOPS/s)\".format(msg, round(gmn))\n if not self.args.verbose and (self.args.check is None or 0 != self.args.check):\n print(\"\")\n print(msg)\n\n def rename_dotfile(self, dotfile):\n try:\n data = None\n with open(dotfile, \"r\") as file:\n data = json.load(file)\n gflops = data[\"GFLOPS\"] if data and \"GFLOPS\" in data else 0\n if 0 < gflops:\n filemain = \"-\".join(os.path.basename(dotfile).split(\"-\")[1:4])\n filename = \"{}-{}-{}gflops.json\".format(\n default_basename, filemain, round(gflops)\n )\n os.rename(dotfile, os.path.join(self.args.jsondir, filename))\n except: # noqa: E722\n pass\n\n def save_final_config(self, configuration, final=True):\n \"\"\"Called at termination\"\"\"\n if not final and (0 >= self.gflops or not configuration):\n return # nothing to save\n config = configuration.data if configuration else None\n cfgenv = self.environment(config) if config else None\n envchk = os.getenv(\"CHECK\") # force CHECKing result unless CHECK=0\n result = self.run_result[\"returncode\"] if config and self.run_result else 1\n if 0 == result and 0 == self.args.check and (envchk is None or \"0\" != envchk):\n self.run_result = self.call_program(\" \".join(self.launch(cfgenv, 1)))\n result = self.run_result[\"returncode\"] if self.run_result else 1\n # extend result for easier reuse\n if config:\n config[\"DEVICE\"] = self.device\n config[\"GFLOPS\"] = self.gflops\n config[\"TYPEID\"] = self.typeid\n config[\"M\"] = self.mnk[0]\n config[\"N\"] = self.mnk[1]\n config[\"K\"] = self.mnk[2]\n config[\"S\"] = self.size\n filedev = \"\" if self.idevice is None else \"-{}\".format(self.idevice)\n filedot = os.path.join(\n self.args.jsondir, \".{}{}.json\".format(self.args.label, filedev)\n )\n if config and self.gfsave < self.gflops: # save intermediate result\n if 0 == self.gfsave and os.path.exists(filedot): # backup\n self.rename_dotfile(filedot)\n # self.manipulator().save_to_file(config, filename)\n with open(filedot, \"w\") as file:\n cfg = config\n if \"XF\" in config and 0 == config[\"XF\"]:\n cfg = copy.deepcopy(config)\n del cfg[\"XF\"]\n json.dump(cfg, file, sort_keys=True)\n file.write(\"\\n\") # append newline at EOF\n self.gfsave = self.gflops\n # check return code (consider not saving parameters)\n if 0 != result and not final: # incorrect result\n failed = \" \".join(map(str, cfgenv)).replace(\"OPENCL_LIBSMM_SMM_\", \"\")\n mnk = \"x\".join(map(str, self.mnk))\n print(\"FAILED[{}] {}: {}\".format(result, mnk, failed), flush=True)\n return\n if final and 0 < self.gflops and os.path.exists(filedot):\n filepattern = \"{}-*.json\".format(default_basename)\n filenames = glob.glob(\n os.path.normpath(os.path.join(self.args.jsondir, filepattern))\n )\n if not filenames and glob.glob(self.args.csvfile):\n msg = \"WARNING: no JSON-file found but {} will be overwritten.\"\n print(msg.format(self.args.csvfile))\n fileonly = \"{}-{}gflops.json\".format(self.args.label, round(self.gflops))\n filename = os.path.normpath(os.path.join(self.args.jsondir, fileonly))\n try:\n os.rename(filedot, filename)\n except: # noqa: E722\n pass\n if filename not in filenames: # rebuild CSV-file\n filenames.append(filename)\n self.merge_jsons(filenames)\n speedup = round((self.gflops / self.gfbase) if 0 < self.gfbase else 0, 1)\n msg = \" ({}x over seed)\".format(speedup) if 1 < speedup else \"\"\n print(\"Result{} was written to {}\".format(msg, filename))\n elif final and self.args.merge is None:\n print(\"WARNING: no tuned results produced!\")\n\n def handle_sigint(self, signum, frame):\n \"\"\"Handle SIGINT or CTRL-C\"\"\"\n if 1 > self.handle_sigint_counter: # avoid recursion\n self.handle_sigint_counter = self.handle_sigint_counter + 1\n msg = \"\\nWARNING: tuning {}-kernel interrupted.\"\n print(msg.format(\"x\".join(map(str, self.mnk))))\n try:\n self.save_final_config(self.config, True)\n except: # noqa: E722\n pass\n exit(1)\n\n\nif __name__ == \"__main__\":\n argparser = opentuner.default_argparser()\n # adjust default value of existing arguments\n argparser.set_defaults(no_dups=True)\n # add primary arguments (parsed first)\n argparser.add_argument(\n \"mnk\",\n type=str,\n default=default_mnk,\n nargs=\"?\",\n help=\"Shape of SMM-kernel (MxNxK)\",\n )\n argparser.add_argument(\n \"-r\",\n \"--repetitions\",\n type=int,\n default=0,\n nargs=\"?\",\n dest=\"r\",\n help=\"Repetitions per experiment\",\n )\n argparser.add_argument(\n \"-e\",\n \"--csv-separator\",\n type=(lambda c: c if isinstance(c, str) and 1 == len(c) else False),\n default=\";\",\n nargs=\"?\",\n dest=\"csvsep\",\n help=\"Separator used in CSV-file\",\n )\n argparser.add_argument(\n \"-o\",\n \"--csv-filename\",\n type=str,\n default=\"{}.csv\".format(default_basename),\n nargs=\"?\",\n dest=\"csvfile\",\n help=\"Generate CSV-file\",\n )\n argparser.add_argument(\n \"-m\",\n \"--csv-merge-jsons\",\n type=int,\n default=None,\n const=-1,\n nargs=\"?\",\n dest=\"merge\",\n help=\"Merge JSONs into CSV (-1: auto, 0: all, 1: SP, 2: DP, 3: hidden)\",\n )\n argparser.add_argument(\n \"-x\",\n \"--csv-nogflops\",\n action=\"store_true\",\n default=False,\n dest=\"nogflops\",\n help=\"Exclude real GFLOPS\",\n )\n argparser.add_argument(\n \"-p\",\n \"--jsons-dir\",\n type=str,\n default=\".\",\n nargs=\"?\",\n dest=\"jsondir\",\n help=\"Directory to read/write JSONs\",\n )\n argparser.add_argument(\n \"-u\",\n \"--jsons-update\",\n type=str,\n default=\"\",\n nargs=\"?\",\n dest=\"update\",\n help=\"Update JSONs (device name optional)\",\n )\n argparser.add_argument(\n \"-c\",\n \"--check\",\n type=float,\n default=0,\n nargs=\"?\",\n help=\"Validate kernel (none:verify, epsilon - 0:off, -1:verify perf.)\",\n )\n argparser.add_argument(\n \"-d\",\n \"--delete\",\n type=int,\n default=None,\n const=1,\n nargs=\"?\",\n help=\"Remove JSONs (1:worse/old, 2:worse/new, 3:dry, 4:prefer/new)\",\n )\n argparser.add_argument(\n \"-v\",\n \"--verbose\",\n action=\"store_true\",\n default=False,\n help=\"Verbose output\",\n )\n argparser.add_argument(\n \"-a\",\n \"--tuning-level\",\n type=int,\n default=-1,\n nargs=\"?\",\n dest=\"tlevel\",\n help=\"Tunables: (0) all, (1) most, (2) some, (3) least\",\n )\n argparser.add_argument(\n \"-q\",\n \"--quick\",\n action=\"store_true\",\n default=False,\n help=\"Omit certain configurations\",\n )\n argparser.add_argument(\n \"-bm\",\n \"--initial-bm\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_BM\", \"0\"),\n nargs=\"?\",\n dest=\"bm\",\n help=\"Block/tile size (0:auto)\",\n )\n argparser.add_argument(\n \"-bn\",\n \"--initial-bn\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_BN\", \"0\"),\n nargs=\"?\",\n dest=\"bn\",\n help=\"Block/tile size (0:auto)\",\n )\n argparser.add_argument(\n \"-bk\",\n \"--initial-bk\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_BK\", \"0\"),\n nargs=\"?\",\n dest=\"bk\",\n help=\"Block size (0:auto)\",\n )\n argparser.add_argument(\n \"-ws\",\n \"--initial-ws\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_WS\", \"0\"),\n nargs=\"?\",\n dest=\"ws\",\n help=\"Minimum WG-size (0:auto)\",\n )\n argparser.add_argument(\n \"-wg\",\n \"--initial-wg\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_WG\", \"0\"),\n dest=\"wg\",\n help=\"Size of WG: subgroups (-1), tight (0), round-up (1), PoT (2)\",\n )\n argparser.add_argument(\n \"-lu\",\n \"--initial-lu\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_LU\", \"-1\"),\n dest=\"lu\",\n help=\"Loop unroll (-2) full, (-1) no hints (default),\"\n + \" (0) inner, (1) outer-dehint, (2) block-m\",\n )\n argparser.add_argument(\n \"-nz\",\n \"--initial-nz\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_NZ\", \"0\"),\n dest=\"nz\",\n help=\"Check (1) atomic increment to be non-zero (0:off)\",\n )\n argparser.add_argument(\n \"-al\",\n \"--initial-al\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_AL\", \"0\"),\n dest=\"al\",\n help=\"Access: transposed (0), linear (1)\",\n )\n argparser.add_argument(\n \"-tb\",\n \"--initial-tb\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_TB\", \"0\"),\n dest=\"tb\",\n help=\"Matrix B: untracked (0), tracked (1)\",\n )\n argparser.add_argument(\n \"-tc\",\n \"--initial-tc\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_TC\", \"1\"),\n dest=\"tc\",\n help=\"Matrix C: untracked (0), tracked (1)\",\n )\n argparser.add_argument(\n \"-ap\",\n \"--initial-ap\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_AP\", \"0\"),\n dest=\"ap\",\n help=\"Params: global (0), shared (1)\",\n )\n argparser.add_argument(\n \"-aa\",\n \"--initial-aa\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_AA\", \"0\"),\n dest=\"aa\",\n help=\"Matrix A: global (0), shared (1), register (2)\",\n )\n argparser.add_argument(\n \"-ab\",\n \"--initial-ab\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_AB\", \"0\"),\n dest=\"ab\",\n help=\"Matrix B: global (0), shared (1), register (2)\",\n )\n argparser.add_argument(\n \"-ac\",\n \"--initial-ac\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_AC\", \"0\"),\n dest=\"ac\",\n help=\"Matrix C: register (0), shared (1)\",\n )\n argparser.add_argument(\n \"-bs\",\n \"--initial-bs\",\n type=int,\n default=env_intvalue(\"OPENCL_LIBSMM_SMM_BS\", \"0\"),\n nargs=\"?\",\n dest=\"bs\",\n help=\"Minibatch size (0:auto)\",\n )\n argparser.add_argument(\n \"-mb\",\n \"--max-bs\",\n type=int,\n default=0,\n nargs=\"?\",\n dest=\"mb\",\n help=\"Maximum (mini-)batch size (0:auto)\",\n )\n argparser.add_argument(\n \"-s\",\n \"--batchsize\",\n type=int,\n default=0,\n nargs=\"?\",\n dest=\"size\",\n help=\"Size of batch (a.k.a. stacksize)\",\n )\n args, argd = argparser.parse_args(), argparser.parse_args([])\n # OPENCL_LIBSMM_SMM_xx=tune|enabled|on must be given to permit tuning)\n if os.getenv(\"OPENCL_LIBSMM_SMM_WS\") not in default_enable_tune:\n os.environ[\"OPENCL_LIBSMM_SMM_WS\"] = \"{}\".format(args.ws)\n # fix tunables according to level of tuning\n if 1 <= args.tlevel or 0 > args.tlevel:\n os.environ[\"OPENCL_LIBSMM_SMM_BM\"] = \"{}\".format(args.bm)\n os.environ[\"OPENCL_LIBSMM_SMM_BN\"] = \"{}\".format(args.bn)\n os.environ[\"OPENCL_LIBSMM_SMM_AL\"] = \"{}\".format(args.al)\n if 2 <= args.tlevel or 0 > args.tlevel:\n os.environ[\"OPENCL_LIBSMM_SMM_TB\"] = \"{}\".format(args.tb)\n os.environ[\"OPENCL_LIBSMM_SMM_TC\"] = \"{}\".format(args.tc)\n os.environ[\"OPENCL_LIBSMM_SMM_AP\"] = \"{}\".format(args.ap)\n os.environ[\"OPENCL_LIBSMM_SMM_AC\"] = \"{}\".format(args.ac)\n os.environ[\"OPENCL_LIBSMM_SMM_NZ\"] = \"{}\".format(args.nz)\n if 3 <= args.tlevel:\n os.environ[\"OPENCL_LIBSMM_SMM_BK\"] = \"{}\".format(args.bk)\n os.environ[\"OPENCL_LIBSMM_SMM_WG\"] = \"{}\".format(args.wg)\n if 4 <= args.tlevel:\n os.environ[\"OPENCL_LIBSMM_SMM_LU\"] = \"{}\".format(args.lu)\n if 0 == args.mb:\n args.mb = 64\n # construct and start tuner instance\n if os.path.isfile(args.mnk):\n with open(args.mnk, \"r\") as file:\n while True:\n line = file.readline()\n if not line:\n break\n args.mnk, args.label = line.strip(), \"\"\n if args.mnk:\n start(args)\n print(\"\")\n else:\n if os.path.isdir(args.mnk):\n args.jsondir = args.mnk\n args.mnk = default_mnk\n if args.merge is None:\n args.merge = -1\n else:\n try:\n mnk = tuple(max(int(i), 1) for i in args.mnk.split(\"x\"))\n except: # noqa: E722\n mnk = None\n pass\n if not mnk:\n sys.tracebacklimit = 0\n raise RuntimeError(\"Cannot parse MxNxK triplet or filename.\")\n start(args)\n" }, { "path": "src/acc/opencl/smm/tune_multiply.sh", "content": "#!/usr/bin/env bash\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: BSD-3-Clause #\n####################################################################################################\n\nXARGS=$(command -v xargs)\nSORT=$(command -v sort)\nHEAD=$(command -v head)\nSED=$(command -v gsed)\nCUT=$(command -v cut)\nLS=$(command -v ls)\nRM=$(command -v rm)\nWC=$(command -v wc)\n\n# initial delay before auto-tuning (interactive)\nWAIT_DEFAULT=12\n\n# GNU sed is desired (macOS)\nif [ ! \"${SED}\" ]; then\n SED=$(command -v sed)\nfi\n\nif [ \"${XARGS}\" ] && [ \"${SORT}\" ] && [ \"${HEAD}\" ] && [ \"${SED}\" ] && \\\n [ \"${LS}\" ] && [ \"${RM}\" ] && [ \"${WC}\" ];\nthen\n EXTRA=\"\"\n while test $# -gt 0; do\n case \"$1\" in\n -h|--help)\n HELP=1\n shift $#;;\n -c|--continue)\n CONTINUE=1\n shift 1;;\n -w|--wait)\n WAIT=$2\n shift 2;;\n -u|--update)\n UPDATE=1\n shift 1;;\n -d|--delete)\n DELETE=1\n shift 1;;\n -a|--tuning-level)\n TLEVEL=$2\n shift 2;;\n -b|--backwards)\n REVERSE=1\n shift 1;;\n -t|--maxtime)\n MAXTIME=$2\n shift 2;;\n -p|--jsondir)\n JSONDIR=$2\n shift 2;;\n -k|--specid)\n SPECID=$2\n shift 2;;\n -m|--limit)\n MAXEXT=$2\n shift 2;;\n -n|--triplets)\n MAXNUM=$2\n shift 2;;\n -r|--bound)\n BOUNDL=$2\n BOUNDU=$3\n shift 3;;\n -i|--part)\n PART=$2\n shift 2;;\n -j|--nparts)\n NPARTS=$2\n shift 2;;\n -s|--batchsize)\n BATCHSIZE=$2\n shift 2;;\n *)\n if [ \"-\" != \"${1:0:1}\" ]; then\n break\n else\n EXTRA+=\" $1\"\n shift\n fi;;\n esac\n done\n # default/basic settings\n if [ ! \"${BATCHSIZE}\" ]; then BATCHSIZE=0; fi\n if [ ! \"${JSONDIR}\" ]; then JSONDIR=.; fi\n if [ ! \"${TLEVEL}\" ]; then TLEVEL=-1; fi\n if [ ! \"${NPARTS}\" ]; then NPARTS=${PMI_SIZE:-${OMPI_COMM_WORLD_SIZE:-1}}; fi\n if [ ! \"${PART}\" ]; then\n PART0=${PMI_RANK:-${OMPI_COMM_WORLD_RANK:-0}}\n PART=$(((PART0+1)%NPARTS+1))\n fi\n if [ ! \"${WAIT}\" ] && [ \"1\" != \"${NPARTS}\" ]; then WAIT=0; fi\n # sanity checks\n if [ \"0\" != \"$((NPARTS&2 echo \"ERROR: part-number ${PART} is larger than the requested ${NPARTS} parts!\"\n exit 1\n elif [ \"0\" != \"$((1>PART))\" ]; then\n >&2 echo \"ERROR: part-number must be 1-based!\"\n exit 1\n fi\n if [ \"${SPECID}\" ] && [ \"$1\" ]; then\n >&2 echo \"ERROR: --specid and are mutual exclusive!\"\n exit 1\n fi\n # how to print standard vs error messages\n if [ ! \"${HELP}\" ] || [ \"0\" = \"${HELP}\" ]; then\n JSONS=$(${LS} -1 ${JSONDIR}/tune_multiply-*-*x*x*-*gflops.json 2>/dev/null)\n HERE=$(cd \"$(dirname \"$0\")\" && pwd -P)\n ECHO=\">&2 echo\"\n if [ \"${UPDATE}\" ] && [ \"0\" != \"${UPDATE}\" ]; then\n MNKS=$(${SED} -n \"s/.*tune_multiply-..*-\\(..*x..*x.[^-]*\\)-..*gflops\\.json/\\1/p\" <<<\"${JSONS}\" \\\n | ${SORT} -u -n -tx -k1,1 -k2,2 -k3,3)\n elif [ \"${SPECID}\" ]; then\n MNKS=$(eval \"${HERE}/../../acc_triplets.sh -k ${SPECID} 2>/dev/null\")\n else\n if [[ \"$*\" != *\"x\"* ]]; then\n MNKS=$(eval \"${HERE}/../../acc_triplets.sh $* 2>/dev/null\")\n else\n MNKS=\"$*\"\n fi\n fi\n else\n ECHO=\"echo\"\n fi\n if [ ! \"${WAIT}\" ] || [[ (\"${HELP}\" && \"0\" != \"${HELP}\") ]]; then\n eval \"${ECHO} \\\"Usage: $0 [options] []\\\"\"\n eval \"${ECHO} \\\" Options must precede triplet specification\\\"\"\n eval \"${ECHO} \\\" -w|--wait N: initial delay before auto-tuning (default: ${WAIT_DEFAULT} s)\\\"\"\n eval \"${ECHO} \\\" -c|--continue: proceed with plan if tuning is interrupted\\\"\"\n eval \"${ECHO} \\\" -u|--update: retune all JSONs found in directory (see -p)\\\"\"\n eval \"${ECHO} \\\" -s|--batchsize N: Number of batched SMMs (a.k.a. stacksize)\\\"\"\n eval \"${ECHO} \\\" -a|--tuning-level N=0..3: all, most, some, least tunables\\\"\"\n eval \"${ECHO} \\\" -b|--backwards: tune in descending order of triplets\\\"\"\n eval \"${ECHO} \\\" -t|--maxtime N: number of seconds spent per kernel\\\"\"\n eval \"${ECHO} \\\" -p|--jsondir P: path to JSON-files (tuned params)\\\"\"\n eval \"${ECHO} \\\" -i|--part N (1-based): Nth session out of nparts\\\"\"\n eval \"${ECHO} \\\" -j|--nparts N: number of total sessions (see -i)\\\"\"\n eval \"${ECHO} \\\" -r|--bound L U: limit L**3 < MNK <= U**3\\\"\"\n eval \"${ECHO} \\\" -m|--limit N: limit any shape extent to N\\\"\"\n eval \"${ECHO} \\\" -n|--triplets N: limit number of triplet\\\"\"\n eval \"${ECHO} \\\" -k|--specid N: predefined triplets\\\"\"\n eval \"${ECHO} \\\" 0-10: older to newer (larger), e.g.,\\\"\"\n eval \"${ECHO} \\\" 0: 201 kernels\\\"\"\n eval \"${ECHO} \\\" 10: 1266 kernels\\\"\"\n eval \"${ECHO} \\\" , e.g., 134 kernels \\\\\\\"23, 5 32 13 24 26, 4 9\\\\\\\"\\\"\"\n eval \"${ECHO} \\\" MxNxK's can be also given directly, e.g.,\\\"\"\n eval \"${ECHO} \\\" 1x1x1 2x2x2 2x2x3 2x3x2 2x3x3 3x2x2 3x2x3 3x3x2 3x3x3\\\"\"\n eval \"${ECHO} \\\" (which is equivalent to \\\\\\\"1, 2 3\\\\\\\")\\\"\"\n eval \"${ECHO}\"\n if [ \"${HELP}\" ] && [ \"0\" != \"${HELP}\" ]; then exit 0; fi\n fi\n if [ \"${MNKS}\" ]; then\n if [ \"${BOUNDL}\" ] || [ \"${BOUNDU}\" ]; then\n if [ ! \"${BOUNDL}\" ]; then BOUNDL=0; elif [ ! \"${BOUNDU}\" ]; then BOUNDU=0; fi\n if [ \"0\" != \"$((0<=BOUNDL))\" ]; then\n for MNK in $(${SED} \"s/x/*/g\" <<<\"${MNKS}\"); do\n S=$((MNK))\n if [ \"0\" != \"$((BOUNDL&2 echo \"ERROR: invalid or no given!\"\n exit 1\n fi\n if [ ! \"${WAIT}\" ] || [ \"0\" != \"${WAIT}\" ]; then\n if [ \"0\" = \"$((NPARTS<=NTRIPLETS))\" ]; then\n >&2 echo \"WARNING: problem is over-decomposed!\"\n fi\n echo \"Session ${PART} of ${NPARTS} part(s).\"\n fi\n if [ ! \"${MAXTIME}\" ] && [[ (! \"${CONTINUE}\" || \\\n \"${CONTINUE}\" = \"false\" || \\\n \"${CONTINUE}\" = \"no\" || \\\n \"${CONTINUE}\" = \"0\") ]];\n then\n MAXTIME=160\n fi\n PARTLOSZ=$((NPARTS&2 echo \"Already found ${NJSONS} (unrelated?) JSON-files.\"\n fi\n elif [ -e tune_multiply.csv ]; then\n >&2 echo \"No JSON file found but (unrelated?) tune_multiply.csv exists.\"\n fi\n if [ ! \"${WAIT}\" ]; then WAIT=${WAIT_DEFAULT}; fi\n if [ \"0\" != \"$((0&2 echo \"ERROR: missing prerequisites!\"\n exit 1\nfi\n" }, { "path": "src/base/PACKAGE", "content": "{\n\"description\": \"base routines needed to abstract away some machine/compiler dependent functionality\",\n\"archive\": \"libdbcsr\",\n\"requires\": []\n}\n" }, { "path": "src/base/dbcsr_base_hooks.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_base_hooks\n !! Central dispatch for basic hooks\n USE dbcsr_kinds, ONLY: default_string_length\n USE dbcsr_machine, ONLY: default_output_unit, &\n m_abort, &\n m_flush\n\n IMPLICIT NONE\n PRIVATE\n\n !API\n PUBLIC :: dbcsr_abort, dbcsr_warn, timeset, timestop\n !API\n PUBLIC :: dbcsr_abort_hook, dbcsr_warn_hook, timeset_hook, timestop_hook, &\n timeset_interface, timestop_interface, &\n dbcsr_abort_interface, dbcsr_warn_interface\n !API\n PUBLIC :: dbcsr__a, dbcsr__b, dbcsr__w, dbcsr__l\n\n ! this interface (with subroutines in it) must to be defined right before\n ! the regular subroutines/functions - otherwise prettify.py will screw up.\n INTERFACE\n SUBROUTINE dbcsr_abort_interface(location, message)\n CHARACTER(len=*), INTENT(in) :: location, message\n\n END SUBROUTINE dbcsr_abort_interface\n\n SUBROUTINE dbcsr_warn_interface(location, message)\n CHARACTER(len=*), INTENT(in) :: location, message\n\n END SUBROUTINE dbcsr_warn_interface\n\n SUBROUTINE timeset_interface(routineN, handle)\n CHARACTER(LEN=*), INTENT(IN) :: routineN\n INTEGER, INTENT(OUT) :: handle\n\n END SUBROUTINE timeset_interface\n\n SUBROUTINE timestop_interface(handle)\n INTEGER, INTENT(IN) :: handle\n\n END SUBROUTINE timestop_interface\n END INTERFACE\n\n PROCEDURE(dbcsr_abort_interface), POINTER :: dbcsr_abort_hook => Null()\n PROCEDURE(dbcsr_warn_interface), POINTER :: dbcsr_warn_hook => Null()\n PROCEDURE(timeset_interface), POINTER :: timeset_hook => Null()\n PROCEDURE(timestop_interface), POINTER :: timestop_hook => Null()\n\nCONTAINS\n\n SUBROUTINE dbcsr_abort(location, message)\n !! Terminate the program\n CHARACTER(len=*), INTENT(in) :: location, message\n\n IF (ASSOCIATED(dbcsr_abort_hook)) THEN\n CALL dbcsr_abort_hook(location, message)\n ELSE\n WRITE (default_output_unit, *) \"ABORT in \"//TRIM(location)//\" \"//TRIM(message)\n CALL m_flush(default_output_unit)\n CALL m_abort()\n END IF\n ! compiler hint\n STOP \"Never return from here\"\n END SUBROUTINE dbcsr_abort\n\n SUBROUTINE dbcsr_warn(location, message)\n !! Issue a warning\n CHARACTER(len=*), INTENT(in) :: location, message\n\n IF (ASSOCIATED(dbcsr_warn_hook)) THEN\n CALL dbcsr_warn_hook(location, message)\n ELSE\n WRITE (default_output_unit, *) \"WARNING in \"//TRIM(location)//\" \"//TRIM(message)\n CALL m_flush(default_output_unit)\n END IF\n END SUBROUTINE dbcsr_warn\n\n SUBROUTINE timeset(routineN, handle)\n !! Start timer\n CHARACTER(LEN=*), INTENT(IN) :: routineN\n INTEGER, INTENT(OUT) :: handle\n\n IF (ASSOCIATED(timeset_hook)) THEN\n CALL timeset_hook(routineN, handle)\n ELSE\n handle = -1\n END IF\n END SUBROUTINE timeset\n\n SUBROUTINE timestop(handle)\n !! Stop timer\n INTEGER, INTENT(IN) :: handle\n\n IF (ASSOCIATED(timestop_hook)) THEN\n CALL timestop_hook(handle)\n ELSE\n IF (handle /= -1) &\n CALL dbcsr_abort(dbcsr__l(\"base_hooks.F\", __LINE__), \"Got wrong handle\")\n END IF\n END SUBROUTINE timestop\n\n SUBROUTINE dbcsr__a(filename, lineNr)\n !! DBCSR_ASSERT handler\n CHARACTER(len=*), INTENT(in) :: filename\n INTEGER, INTENT(in) :: lineNr\n\n CALL dbcsr_abort(location=dbcsr__l(filename, lineNr), message=\"DBCSR_ASSERT failed\")\n ! compiler hint\n STOP \"Never return from here\"\n END SUBROUTINE dbcsr__a\n\n SUBROUTINE dbcsr__b(filename, lineNr, message)\n !! DBCSR_ABORT handler\n CHARACTER(len=*), INTENT(in) :: filename\n INTEGER, INTENT(in) :: lineNr\n CHARACTER(len=*), INTENT(in) :: message\n\n CALL dbcsr_abort(location=dbcsr__l(filename, lineNr), message=message)\n ! compiler hint\n STOP \"Never return from here\"\n END SUBROUTINE dbcsr__b\n\n SUBROUTINE dbcsr__w(filename, lineNr, message)\n !! DBCSR_WARN handler\n CHARACTER(len=*), INTENT(in) :: filename\n INTEGER, INTENT(in) :: lineNr\n CHARACTER(len=*), INTENT(in) :: message\n\n CALL dbcsr_warn(location=dbcsr__l(filename, lineNr), message=message)\n END SUBROUTINE dbcsr__w\n\n FUNCTION dbcsr__l(filename, lineNr) RESULT(location)\n !! Helper routine to assemble __LOCATION__\n CHARACTER(len=*), INTENT(in) :: filename\n INTEGER, INTENT(in) :: lineNr\n CHARACTER(len=default_string_length) :: location\n\n CHARACTER(len=15) :: lineNr_str\n\n WRITE (lineNr_str, FMT='(I10)') lineNr\n location = TRIM(filename)//\":\"//TRIM(ADJUSTL(lineNr_str))\n\n END FUNCTION dbcsr__l\n\nEND MODULE dbcsr_base_hooks\n" }, { "path": "src/base/dbcsr_base_uses.f90", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n! Basic use statements and preprocessor macros\n! should be included in the use statements\n\n USE dbcsr_base_hooks, ONLY: dbcsr__a, &\n dbcsr__b, &\n dbcsr__w, &\n dbcsr__l, &\n dbcsr_abort, &\n dbcsr_warn, &\n timeset, &\n timestop\n\n! Dangerous: Full path can be arbitrarily long and might overflow Fortran line.\n#if !defined(__SHORT_FILE__)\n#define __SHORT_FILE__ __FILE__\n#endif\n\n#define __LOCATION__ dbcsr__l(__SHORT_FILE__,__LINE__)\n#define DBCSR_WARN(msg) CALL dbcsr__w(__SHORT_FILE__,__LINE__,msg)\n#define DBCSR_ABORT(msg) CALL dbcsr__b(__SHORT_FILE__,__LINE__,msg)\n\n! DBCSR_ASSERT can be elided if NDEBUG is defined.\n#if defined(NDEBUG)\n# define DBCSR_ASSERT(cond)\n#else\n# define DBCSR_ASSERT(cond) IF(.NOT.(cond))CALL dbcsr__a(__SHORT_FILE__,__LINE__)\n#endif\n\n! The MARK_USED macro can be used to mark an argument/variable as used.\n! It is intended to make it possible to switch on -Werror=unused-dummy-argument,\n! but deal elegantly with e.g. library wrapper routines that take arguments only used if the library is linked in.\n! This code should be valid for any Fortran variable, is always standard conforming,\n! and will be optimized away completely by the compiler\n#define MARK_USED(foo) IF(.FALSE.)THEN; DO ; IF(SIZE(SHAPE(foo))==-1) EXIT ; END DO ; ENDIF\n\n! Calculate version number from 2 or 3 components. Can be used for comparison e.g.,\n! TO_VERSION3(4, 9, 0) <= TO_VERSION3(__GNUC__, __GNUC_MINOR__, __GNUC_PATCHLEVEL__)\n! TO_VERSION(8, 0) <= TO_VERSION(__GNUC__, __GNUC_MINOR__)\n#define TO_VERSION2(MAJOR, MINOR) ((MAJOR) * 10000 + (MINOR) * 100)\n#define TO_VERSION3(MAJOR, MINOR, UPDATE) (TO_VERSION2(MAJOR, MINOR) + (UPDATE))\n#define TO_VERSION TO_VERSION2\n\n! Rely on incorrect expansion inside of quotes to avoid issue of handling hash-character.\n!&<\n#if defined(__GNUC__)\n#define DBCSR_STRINGIZE(A) \"A\"\n#else\n#define DBCSR_STRINGIZE(A) #A\n#endif\n!&>\n\n! LIBXSMM has a FORTRAN-suitable header with macro/version definitions (since v1.8.2).\n! Allows macro-toggles (in addition to parameters).\n#if defined(__LIBXSMM)\n#include \n#if !defined(LIBXSMM_CONFIG_VERSION)\n#error LIBXSMM v1.8.2 or later is required!\n#endif\n#endif\n\n! Aliasing __MPI_F08 macro of CP2K to __USE_MPI_F08 macro in DBCSR\n#if defined(__parallel) && defined(__MPI_F08)\n#define __USE_MPI_F08 1\n#endif\n" }, { "path": "src/base/dbcsr_kinds.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_kinds\n !! Defines the basic variable types\n !! @note\n !! Data type definitions; tested on:\n !! - IBM AIX xlf90\n !! - SGI IRIX f90\n !! - CRAY T3E f90\n !! - DEC ALPHA f90\n !! - NAG_F90\n !! - SUN\n !! - HITACHI\n\n IMPLICIT NONE\n\n PRIVATE\n PUBLIC :: sp, dp, print_kind_info, dp_size, sp_size, int_size\n PUBLIC :: int_1, int_4, int_8, int_1_size, int_2_size, int_4_size, int_8_size\n PUBLIC :: real_4, real_8, real_4_size, real_8_size\n PUBLIC :: default_string_length, default_path_length, max_line_length\n\n INTEGER, PARAMETER :: sp = SELECTED_REAL_KIND(6, 30)\n INTEGER, PARAMETER :: dp = SELECTED_REAL_KIND(14, 200)\n ! we rely on this (libraries) but do not check this\n INTEGER, PARAMETER :: dp_size = 8, &\n int_size = BIT_SIZE(0)/8, &\n sp_size = 4\n\n INTEGER, PARAMETER :: real_4 = SELECTED_REAL_KIND(6, 30)\n INTEGER, PARAMETER :: real_8 = SELECTED_REAL_KIND(14, 200)\n INTEGER, PARAMETER :: real_4_size = 4\n INTEGER, PARAMETER :: real_8_size = 8\n\n INTEGER, PARAMETER :: int_1 = SELECTED_INT_KIND(2)\n INTEGER, PARAMETER :: int_1_size = BIT_SIZE(INT(0, int_1))/8\n\n INTEGER, PARAMETER :: int_2 = SELECTED_INT_KIND(4)\n INTEGER, PARAMETER :: int_2_size = BIT_SIZE(INT(0, int_2))/8\n\n INTEGER, PARAMETER :: int_4 = SELECTED_INT_KIND(5)\n INTEGER, PARAMETER :: int_4_size = BIT_SIZE(INT(0, int_4))/8\n\n INTEGER, PARAMETER :: int_8 = SELECTED_INT_KIND(10)\n INTEGER, PARAMETER :: int_8_size = BIT_SIZE(INT(0, int_8))/8\n\n INTEGER, PARAMETER :: default_string_length = 80\n INTEGER, PARAMETER :: default_path_length = 1024\n INTEGER, PARAMETER :: max_line_length = 2*default_path_length\n CHARACTER(LEN=1), PARAMETER, PUBLIC :: default_blank_character(2) = (/\" \", CHAR(9)/)\n\nCONTAINS\n\n SUBROUTINE print_kind_info(iw)\n !! Print informations about the used data types.\n\n INTEGER, INTENT(IN) :: iw\n\n WRITE (iw, '( /, T2, A )') 'DATA TYPE INFORMATION:'\n\n WRITE (iw, '( /,T2,A,T79,A,2(/,T2,A,T75,I6),3(/,T2,A,T67,E14.8) )') &\n 'REAL: Data type name:', 'dp', ' Kind value:', KIND(0.0_dp), &\n ' Precision:', PRECISION(0.0_dp), &\n ' Smallest non-negligible quantity relative to 1:', &\n EPSILON(0.0_dp), &\n ' Smallest positive number:', TINY(0.0_dp), &\n ' Largest representable number:', HUGE(0.0_dp)\n WRITE (iw, '( /,T2,A,T79,A,2(/,T2,A,T75,I6),3(/,T2,A,T67,E14.8) )') &\n ' Data type name:', 'sp', ' Kind value:', KIND(0.0_sp), &\n ' Precision:', PRECISION(0.0_sp), &\n ' Smallest non-negligible quantity relative to 1:', &\n EPSILON(0.0_sp), &\n ' Smallest positive number:', TINY(0.0_sp), &\n ' Largest representable number:', HUGE(0.0_sp)\n WRITE (iw, '( /,T2,A,T72,A,4(/,T2,A,T61,I20) )') &\n 'INTEGER: Data type name:', '(default)', ' Kind value:', &\n KIND(0), &\n ' Bit size:', BIT_SIZE(0), &\n ' Largest representable number:', HUGE(0)\n WRITE (iw, '( /,T2,A,T72,A,/,T2,A,T75,I6,/ )') &\n 'LOGICAL: Data type name:', '(default)', &\n ' Kind value:', KIND(.TRUE.)\n WRITE (iw, '( /,T2,A,T72,A,/,T2,A,T75,I6,/ )') &\n 'CHARACTER: Data type name:', '(default)', &\n ' Kind value:', KIND('C')\n\n END SUBROUTINE print_kind_info\n\nEND MODULE dbcsr_kinds\n\n" }, { "path": "src/base/dbcsr_machine.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_machine\n USE ISO_FORTRAN_ENV, ONLY: input_unit, &\n output_unit\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp, &\n int_8\n USE dbcsr_machine_internal, ONLY: &\n m_abort, m_chdir, m_flush_internal => m_flush, m_getarg, m_getcwd, m_getlog, m_getpid, &\n m_hostnm, m_iargc, m_memory, m_memory_details, m_memory_max, m_mov, m_procrun\n\n!$ USE OMP_LIB, ONLY: omp_get_wtime\n\n IMPLICIT NONE\n\n ! Except for some error handling code, all code should\n ! get a unit number from the print keys or from the logger, in order\n ! to guarantee correct output behavior,\n ! for example in farming or path integral runs\n ! default_input_unit should never be used\n ! but we need to know what it is, as we should not try to open it for output\n INTEGER, PUBLIC, PARAMETER :: default_output_unit = output_unit, &\n default_input_unit = input_unit\n\n PRIVATE\n\n PUBLIC :: m_walltime, m_datum, m_flush, m_flush_internal, &\n m_hostnm, m_getcwd, m_getlog, m_getpid, m_getarg, m_procrun, &\n m_memory, m_iargc, m_abort, m_chdir, m_mov, m_memory_details, &\n m_energy, m_memory_max, m_cpuinfo\n\n ! should only be set according to the state in &GLOBAL\n LOGICAL, SAVE, PUBLIC :: flush_should_flush = .FALSE.\n\nCONTAINS\n\n SUBROUTINE m_flush(lunit)\n !! flushes units if the &GLOBAL flag is set accordingly\n !! @note\n !! flushing might degrade performance significantly (30% and more)\n\n INTEGER, INTENT(IN) :: lunit\n\n IF (flush_should_flush) CALL m_flush_internal(lunit)\n END SUBROUTINE\n FUNCTION m_walltime() RESULT(wt)\n !! returns time from a real-time clock, protected against rolling\n !! early/easily\n !! @note\n !! same implementation for all machines.\n !! might still roll, if not called multiple times per count_max/count_rate\n\n#if defined(__LIBXSMM)\n USE libxsmm, ONLY: libxsmm_timer_tick, libxsmm_timer_duration\n#endif\n REAL(KIND=dp) :: wt\n\n#if defined(__LIBXSMM)\n wt = libxsmm_timer_duration(0_int_8, libxsmm_timer_tick())\n#else\n\n INTEGER(KIND=int_8) :: count\n INTEGER(KIND=int_8), SAVE :: count_max, count_rate, cycles = -1, &\n last_count\n!$ IF (.FALSE.) THEN\n! count lies in [0,count_max] and increases monotonically\n\n IF (cycles == -1) THEN ! get parameters of system_clock and initialise\n CALL SYSTEM_CLOCK(count_rate=count_rate, count_max=count_max)\n cycles = 0\n last_count = 0\n END IF\n\n CALL SYSTEM_CLOCK(count=count)\n\n ! protect against non-standard cases where time might be non-monotonous,\n ! but it is unlikely that the clock cycled (e.g. underlying system clock adjustments)\n ! i.e. if count is smaller than last_count by only a small fraction of count_max,\n ! we use last_count instead\n ! if count is smaller, we assume that the clock cycled.\n IF (count < last_count) THEN\n IF (last_count - count < count_max/100) THEN\n count = last_count\n ELSE\n cycles = cycles + 1\n END IF\n END IF\n\n ! keep track of our history\n last_count = count\n\n wt = (REAL(count, KIND=dp) + REAL(cycles, KIND=dp)*(1.0_dp + REAL(count_max, KIND=dp))) &\n /REAL(count_rate, KIND=dp)\n!$ ELSE\n!$ wt = omp_get_wtime()\n!$ END IF\n#endif\n END FUNCTION m_walltime\n\n SUBROUTINE m_cpuinfo(model_name)\n !! reads /proc/cpuinfo if it exists (i.e. Linux) to return relevant info\n\n CHARACTER(LEN=default_string_length) :: model_name\n !! as obtained from the 'model name' field, UNKNOWN otherwise\n\n INTEGER, PARAMETER :: bufferlen = 2048\n\n CHARACTER(LEN=bufferlen) :: buffer\n INTEGER :: i, icol, iline, imod, stat\n\n model_name = \"UNKNOWN\"\n buffer = \"\"\n OPEN (121245, FILE=\"/proc/cpuinfo\", ACTION=\"READ\", STATUS=\"OLD\", ACCESS=\"STREAM\", IOSTAT=stat)\n IF (stat == 0) THEN\n DO i = 1, bufferlen\n READ (121245, END=999) buffer(I:I)\n END DO\n999 CLOSE (121245)\n imod = INDEX(buffer, \"model name\")\n IF (imod > 0) THEN\n icol = imod - 1 + INDEX(buffer(imod:), \":\")\n iline = icol - 1 + INDEX(buffer(icol:), NEW_LINE('A'))\n IF (iline == icol - 1) iline = bufferlen + 1\n model_name = buffer(icol + 1:iline - 1)\n END IF\n END IF\n END SUBROUTINE m_cpuinfo\n\n FUNCTION m_energy() RESULT(wt)\n !! returns the energy used since some time in the past.\n !! The precise meaning depends on the infrastructure is available.\n !! In the cray_pm_energy case, this is the energy used by the node in kJ.\n\n REAL(KIND=dp) :: wt\n\n#if defined(__CRAY_PM_ENERGY)\n wt = read_energy(\"/sys/cray/pm_counters/energy\")\n#elif defined(__CRAY_PM_ACCEL_ENERGY)\n wt = read_energy(\"/sys/cray/pm_counters/accel_energy\")\n#else\n wt = 0.0 ! fallback default\n#endif\n\n END FUNCTION m_energy\n\n#if defined(__CRAY_PM_ACCEL_ENERGY) || defined(__CRAY_PM_ENERGY)\n FUNCTION read_energy(filename) RESULT(wt)\n !! reads energy values from the sys-filesystem\n CHARACTER(LEN=*) :: filename\n REAL(KIND=dp) :: wt\n\n CHARACTER(LEN=80) :: DATA\n INTEGER :: i, iostat\n INTEGER(KIND=int_8) :: raw\n\n OPEN (121245, FILE=filename, ACTION=\"READ\", STATUS=\"OLD\", ACCESS=\"STREAM\")\n DO I = 1, 80\n READ (121245, END=999) DATA(I:I)\n END DO\n999 CLOSE (121245)\n DATA(I:80) = \"\"\n READ (DATA, *, IOSTAT=iostat) raw\n IF (iostat .NE. 0) THEN\n wt = 0.0_dp\n ELSE\n ! convert from J to kJ\n wt = raw/1000.0_dp\n END IF\n END FUNCTION read_energy\n#endif\n\n SUBROUTINE m_datum(cal_date)\n !! returns a datum in human readable format using a standard Fortran routine\n CHARACTER(len=*), INTENT(OUT) :: cal_date\n\n CHARACTER(len=10) :: time\n CHARACTER(len=8) :: date\n\n CALL DATE_AND_TIME(date=date, time=time)\n cal_date = date(1:4)//\"-\"//date(5:6)//\"-\"//date(7:8)//\" \"//time(1:2)//\":\"//time(3:4)//\":\"//time(5:10)\n\n END SUBROUTINE m_datum\n\nEND MODULE dbcsr_machine\n" }, { "path": "src/base/dbcsr_machine_internal.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_machine_internal\n\n! use POSIX per default\n#include \"base/dbcsr_machine_posix.f90\"\n\nEND MODULE dbcsr_machine_internal\n" }, { "path": "src/base/dbcsr_machine_posix.f90", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n!! Implementation of machine interface based on Fortran 2003 and POSIX\n\n USE dbcsr_kinds, ONLY: dp, int_8, default_path_length, &\n default_string_length\n USE ISO_C_BINDING, ONLY: C_INT, C_NULL_CHAR, C_CHAR, C_PTR, C_NULL_PTR, C_ASSOCIATED, C_F_POINTER\n\n IMPLICIT NONE\n PRIVATE\n\n PUBLIC :: m_flush, m_memory, &\n m_hostnm, m_getcwd, m_getlog, m_getpid, m_getarg, &\n m_iargc, m_abort, m_chdir, m_mov, &\n m_memory_details, m_procrun\n\n INTEGER(KIND=int_8), PUBLIC, SAVE :: m_memory_max = 0\n\n CONTAINS\n\n SUBROUTINE m_abort()\n !! Can be used to get a nice core\n INTERFACE\n SUBROUTINE abort() BIND(C, name=\"abort\")\n END SUBROUTINE\n END INTERFACE\n\n CALL abort()\n END SUBROUTINE m_abort\n\n FUNCTION m_iargc() RESULT(ic)\n !! The number of arguments of the fortran program\n INTEGER :: ic\n\n ic = COMMAND_ARGUMENT_COUNT()\n END FUNCTION m_iargc\n\n SUBROUTINE m_flush(lunit)\n !! Flush a given unit\n INTEGER, INTENT(IN) :: lunit\n\n FLUSH (lunit)\n END SUBROUTINE m_flush\n\n FUNCTION m_procrun(pid) RESULT(run_on)\n !! Returns if a process is running on the local machine\n !! 1 if yes and 0 if not\n INTEGER, INTENT(IN) :: pid\n INTEGER :: run_on\n INTEGER :: istat\n\n INTERFACE\n FUNCTION kill(pid, sig) BIND(C, name=\"kill\") RESULT(errno)\n IMPORT\n INTEGER(KIND=C_INT), VALUE :: pid, sig\n INTEGER(KIND=C_INT) :: errno\n END FUNCTION\n END INTERFACE\n\n ! If sig is 0, then no signal is sent, but error checking is still\n ! performed; this can be used to check for the existence of a process\n ! ID or process group ID.\n\n istat = kill(pid=pid, sig=0)\n IF (istat == 0) THEN\n run_on = 1 ! no error, process exists\n ELSE\n run_on = 0 ! error, process probably does not exist\n END IF\n\n END FUNCTION m_procrun\n\n SUBROUTINE m_memory(mem)\n !! Returns the total amount of memory [bytes] in use, if known, zero otherwise\n\n INTEGER(KIND=int_8), OPTIONAL, INTENT(OUT) :: mem\n INTEGER(KIND=int_8) :: mem_local\n\n !\n ! __NO_STATM_ACCESS can be used to disable the stuff, if getpagesize\n ! lead to linking errors or /proc/self/statm can not be opened\n !\n#if defined(__NO_STATM_ACCESS)\n mem_local = 0\n#else\n INTEGER(KIND=int_8) :: m1, m2, m3\n CHARACTER(LEN=80) :: DATA\n INTEGER :: iostat, i\n\n ! the size of a page, might not be available everywhere\n INTERFACE\n FUNCTION getpagesize() BIND(C, name=\"getpagesize\") RESULT(RES)\n IMPORT\n INTEGER(C_INT) :: RES\n END FUNCTION\n END INTERFACE\n\n !\n ! reading from statm\n !\n mem_local = -1\n DATA = \"\"\n OPEN (121245, FILE=\"/proc/self/statm\", ACTION=\"READ\", STATUS=\"OLD\", ACCESS=\"STREAM\")\n DO I = 1, 80\n READ (121245, END=999) DATA(I:I)\n END DO\n999 CLOSE (121245)\n DATA(I:80) = \"\"\n ! m1 = total\n ! m2 = resident\n ! m3 = shared\n READ (DATA, *, IOSTAT=iostat) m1, m2, m3\n IF (iostat .NE. 0) THEN\n mem_local = 0\n ELSE\n mem_local = m2\n#if defined(__STATM_TOTAL)\n mem_local = m1\n#endif\n#if defined(__STATM_RESIDENT)\n mem_local = m2\n#endif\n mem_local = mem_local*getpagesize()\n END IF\n#endif\n\n m_memory_max = MAX(mem_local, m_memory_max)\n IF (PRESENT(mem)) mem = mem_local\n\n END SUBROUTINE m_memory\n\n! **************************************************************************************************\n! *** get more detailed memory info, all units are bytes.\n! *** the only 'useful' option is MemLikelyFree which is an estimate of remaining memory\n! *** assumed to give info like /proc/meminfo while MeMLikelyFree is the amount of\n! *** memory we're likely to be able to allocate, but not necessarily in one chunk\n! *** zero means not available\n! **************************************************************************************************\n SUBROUTINE m_memory_details(MemTotal, MemFree, Buffers, Cached, Slab, SReclaimable, MemLikelyFree)\n\n INTEGER(kind=int_8), OPTIONAL :: MemTotal, MemFree, Buffers, Cached, Slab, SReclaimable, MemLikelyFree\n\n INTEGER, PARAMETER :: Nbuffer = 10000\n CHARACTER(LEN=Nbuffer) :: meminfo\n\n INTEGER :: i\n\n MemTotal = 0\n MemFree = 0\n Buffers = 0\n Cached = 0\n Slab = 0\n SReclaimable = 0\n MemLikelyFree = 0\n meminfo = \"\"\n\n OPEN (UNIT=8123, file=\"/proc/meminfo\", ACCESS=\"STREAM\", ERR=901)\n i = 0\n DO\n i = i + 1\n IF (i > Nbuffer) EXIT\n READ (8123, END=900, ERR=900) meminfo(i:i)\n END DO\n900 CONTINUE\n meminfo(i:Nbuffer) = \"\"\n901 CONTINUE\n CLOSE (8123, ERR=902)\n902 CONTINUE\n MemTotal = get_field_value_in_bytes('MemTotal:')\n MemFree = get_field_value_in_bytes('MemFree:')\n Buffers = get_field_value_in_bytes('Buffers:')\n Cached = get_field_value_in_bytes('Cached:')\n Slab = get_field_value_in_bytes('Slab:')\n SReclaimable = get_field_value_in_bytes('SReclaimable:')\n ! opinions here vary but this might work\n MemLikelyFree = MemFree + Buffers + Cached + SReclaimable\n\n CONTAINS\n INTEGER(int_8) FUNCTION get_field_value_in_bytes(field)\n CHARACTER(LEN=*) :: field\n INTEGER :: start\n INTEGER(KIND=int_8) :: value\n get_field_value_in_bytes = 0\n start = INDEX(meminfo, field)\n IF (start .NE. 0) THEN\n start = start + LEN_TRIM(field)\n IF (start .LT. Nbuffer) THEN\n READ (meminfo(start:), *, ERR=999, END=999) value\n ! XXXXXXX convert from Kb to bytes XXXXXXXX\n get_field_value_in_bytes = value*1024\n999 CONTINUE\n END IF\n END IF\n END FUNCTION\n END SUBROUTINE m_memory_details\n\n! *****************************************************************************\n SUBROUTINE m_mov(source, TARGET)\n\n CHARACTER(LEN=*), INTENT(IN) :: source, TARGET\n\n INTEGER :: istat\n\n INTERFACE\n FUNCTION unlink(path) BIND(C, name=\"unlink\") RESULT(errno)\n IMPORT\n CHARACTER(KIND=C_CHAR), DIMENSION(*) :: path\n INTEGER(KIND=C_INT) :: errno\n END FUNCTION\n END INTERFACE\n\n INTERFACE\n FUNCTION rename(src, dest) BIND(C, name=\"rename\") RESULT(errno)\n IMPORT\n CHARACTER(KIND=C_CHAR), DIMENSION(*) :: src, dest\n INTEGER(KIND=C_INT) :: errno\n END FUNCTION\n END INTERFACE\n\n IF (TARGET == source) THEN\n WRITE (*, *) \"Warning: m_mov \", TRIM(TARGET), \" equals \", TRIM(source)\n RETURN\n END IF\n\n ! first remove target (needed on windows / mingw)\n istat = unlink(TRIM(TARGET)//c_null_char)\n ! ignore istat of unlink\n\n ! now move\n istat = rename(TRIM(source)//c_null_char, TRIM(TARGET)//c_null_char)\n IF (istat .NE. 0) THEN\n WRITE (*, *) \"Trying to move \"//TRIM(source)//\" to \"//TRIM(TARGET)//\".\"\n WRITE (*, *) \"rename returned status: \", istat\n WRITE (*, *) \"Problem moving file\"\n CALL m_abort()\n END IF\n END SUBROUTINE m_mov\n\n! *****************************************************************************\n SUBROUTINE m_hostnm(hname)\n CHARACTER(len=*), INTENT(OUT) :: hname\n\n INTEGER :: istat, i\n CHARACTER(len=default_path_length) :: buf\n\n INTERFACE\n FUNCTION gethostname(buf, buflen) BIND(C, name=\"gethostname\") RESULT(errno)\n IMPORT\n CHARACTER(KIND=C_CHAR), DIMENSION(*) :: buf\n INTEGER(KIND=C_INT), VALUE :: buflen\n INTEGER(KIND=C_INT) :: errno\n END FUNCTION\n END INTERFACE\n\n istat = gethostname(buf, LEN(buf))\n IF (istat /= 0) THEN\n WRITE (*, *) \"m_hostnm failed\"\n CALL m_abort()\n END IF\n i = INDEX(buf, c_null_char) - 1\n hname = buf(1:i)\n END SUBROUTINE m_hostnm\n\n! *****************************************************************************\n SUBROUTINE m_getcwd(curdir)\n CHARACTER(len=*), INTENT(OUT) :: curdir\n TYPE(C_PTR) :: stat\n INTEGER :: i\n CHARACTER(len=default_path_length), TARGET :: tmp\n\n INTERFACE\n FUNCTION getcwd(buf, buflen) BIND(C, name=\"getcwd\") RESULT(stat)\n IMPORT\n CHARACTER(KIND=C_CHAR), DIMENSION(*) :: buf\n INTEGER(KIND=C_INT), VALUE :: buflen\n TYPE(C_PTR) :: stat\n END FUNCTION\n END INTERFACE\n\n stat = getcwd(tmp, LEN(tmp))\n IF (.NOT. C_ASSOCIATED(stat)) THEN\n WRITE (*, *) \"m_getcwd failed\"\n CALL m_abort()\n END IF\n i = INDEX(tmp, c_null_char) - 1\n curdir = tmp(1:i)\n END SUBROUTINE m_getcwd\n\n! *****************************************************************************\n SUBROUTINE m_chdir(dir, ierror)\n CHARACTER(len=*), INTENT(IN) :: dir\n INTEGER, INTENT(OUT) :: ierror\n\n INTERFACE\n FUNCTION chdir(path) BIND(C, name=\"chdir\") RESULT(errno)\n IMPORT\n CHARACTER(KIND=C_CHAR), DIMENSION(*) :: path\n INTEGER(KIND=C_INT) :: errno\n END FUNCTION\n END INTERFACE\n\n ierror = chdir(TRIM(dir)//c_null_char)\n END SUBROUTINE m_chdir\n\n! *****************************************************************************\n SUBROUTINE m_getlog(user)\n CHARACTER(len=*), INTENT(OUT) :: user\n INTEGER :: status\n\n ! on a posix system LOGNAME should be defined\n CALL get_environment_variable(\"LOGNAME\", value=user, status=status)\n ! nope, check alternative\n IF (status /= 0) &\n CALL get_environment_variable(\"USER\", value=user, status=status)\n ! fall back\n IF (status /= 0) &\n user = \"root ;-)\"\n\n END SUBROUTINE m_getlog\n\n! *****************************************************************************\n SUBROUTINE m_getpid(pid)\n INTEGER, INTENT(OUT) :: pid\n\n INTERFACE\n FUNCTION getpid() BIND(C, name=\"getpid\") RESULT(pid)\n IMPORT\n INTEGER(KIND=C_INT) :: pid\n END FUNCTION\n END INTERFACE\n\n pid = getpid()\n END SUBROUTINE m_getpid\n\n! *****************************************************************************\n SUBROUTINE m_getarg(i, arg)\n INTEGER, INTENT(IN) :: i\n CHARACTER(len=*), INTENT(OUT) :: arg\n CHARACTER(len=1024) :: tmp\n INTEGER :: istat\n\n CALL GET_COMMAND_ARGUMENT(i, tmp, status=istat)\n IF (istat /= 0) THEN\n WRITE (*, *) \"m_getarg failed\"\n CALL m_abort()\n END IF\n arg = TRIM(tmp)\n END SUBROUTINE m_getarg\n\n" }, { "path": "src/block/PACKAGE", "content": "{\n\"description\": \"DBCSR block level routines\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../acc\", \"../core\", \"../utils\", \"../data\", \"../dist\",\n \"../base\", \"../mpi\", \"../work\"],\n}\n" }, { "path": "src/block/dbcsr_block_access.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_block_access\n !! DBCSR block access\n USE dbcsr_array_types, ONLY: array_data\n USE dbcsr_btree, ONLY: btree_add, &\n btree_data_cp2d, &\n btree_data_dp2d, &\n btree_data_sp2d, &\n btree_data_zp2d, &\n btree_find\n USE dbcsr_block_operations, ONLY: dbcsr_data_clear, &\n dbcsr_data_set\n USE dbcsr_config, ONLY: default_resize_factor\n USE dbcsr_data_methods, ONLY: dbcsr_data_clear_pointer, &\n dbcsr_data_ensure_size, &\n dbcsr_data_get_size_referenced, &\n dbcsr_data_set_pointer, &\n dbcsr_get_data, &\n dbcsr_get_data_p, &\n dbcsr_get_data_p_s, &\n dbcsr_get_data_p_d, &\n dbcsr_get_data_p_c\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_local_cols, &\n dbcsr_distribution_local_rows, &\n dbcsr_distribution_mp\n USE dbcsr_dist_operations, ONLY: dbcsr_get_block_index, &\n dbcsr_get_stored_block_info, &\n dbcsr_get_stored_coordinates\n USE dbcsr_index_operations, ONLY: dbcsr_addto_index_array, &\n dbcsr_clearfrom_index_array, &\n dbcsr_expand_row_index, &\n dbcsr_make_dbcsr_index, &\n dbcsr_sort_indices, &\n merge_index_arrays\n USE dbcsr_methods, ONLY: &\n dbcsr_blk_column_size, dbcsr_blk_row_size, dbcsr_distribution, dbcsr_get_data_type, &\n dbcsr_get_num_blocks, dbcsr_mutable_instantiated, dbcsr_mutable_new, dbcsr_nblkrows_total, &\n dbcsr_use_mutable, dbcsr_wm_use_mutable\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_mynode\n USE dbcsr_ptr_util, ONLY: pointer_rank_remap2, &\n pointer_view\n USE dbcsr_toollib, ONLY: make_coordinate_tuple, &\n swap\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_scalar_type, dbcsr_slot_blk_p, dbcsr_slot_col_i, dbcsr_slot_nblks, &\n dbcsr_slot_nze, dbcsr_type, dbcsr_type_complex_4, dbcsr_type_complex_4_2d, &\n dbcsr_type_complex_8, dbcsr_type_complex_8_2d, dbcsr_type_real_4, dbcsr_type_real_4_2d, &\n dbcsr_type_real_8, dbcsr_type_real_8_2d\n USE dbcsr_work_operations, ONLY: add_work_coordinate, &\n dbcsr_work_create\n USE dbcsr_kinds, ONLY: dp, &\n int_8, &\n real_4, &\n real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_block_access'\n\n PUBLIC :: dbcsr_get_block_p, &\n dbcsr_put_block, dbcsr_remove_block\n\n PUBLIC :: dbcsr_reserve_block2d, &\n dbcsr_reserve_blocks, dbcsr_reserve_all_blocks, dbcsr_reserve_diag_blocks\n\n INTERFACE dbcsr_get_block_p\n MODULE PROCEDURE dbcsr_get_block_p_d, dbcsr_get_block_p_s, &\n dbcsr_get_block_p_z, dbcsr_get_block_p_c\n MODULE PROCEDURE dbcsr_get_2d_block_p_d, dbcsr_get_2d_block_p_s, &\n dbcsr_get_2d_block_p_z, dbcsr_get_2d_block_p_c\n MODULE PROCEDURE dbcsr_get_block_p_area\n END INTERFACE\n\n INTERFACE dbcsr_put_block\n MODULE PROCEDURE dbcsr_put_block_area\n MODULE PROCEDURE dbcsr_put_block_d, dbcsr_put_block_s, &\n dbcsr_put_block_z, dbcsr_put_block_c\n MODULE PROCEDURE dbcsr_put_block2d_d, dbcsr_put_block2d_s, &\n dbcsr_put_block2d_z, dbcsr_put_block2d_c\n END INTERFACE\n\n INTERFACE dbcsr_reserve_block2d\n MODULE PROCEDURE dbcsr_reserve_block2d_s, dbcsr_reserve_block2d_d, &\n dbcsr_reserve_block2d_c, dbcsr_reserve_block2d_z\n END INTERFACE\n\n INTERFACE dbcsr_set_block_pointer\n MODULE PROCEDURE dbcsr_set_block_pointer_any\n MODULE PROCEDURE dbcsr_set_block_pointer_2d_s, &\n dbcsr_set_block_pointer_2d_d, &\n dbcsr_set_block_pointer_2d_c, &\n dbcsr_set_block_pointer_2d_z\n END INTERFACE\n\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n\n INTEGER, PARAMETER, PRIVATE :: rpslot_owner = 1\n INTEGER, PARAMETER, PRIVATE :: rpslot_addblks = 2\n INTEGER, PARAMETER, PRIVATE :: rpslot_addoffset = 3\n INTEGER, PARAMETER, PRIVATE :: rpslot_oldblks = 4\n INTEGER, PARAMETER, PRIVATE :: rpslot_oldoffset = 5\n INTEGER, PARAMETER, PRIVATE :: rpslot_totaloffset = 6\n INTEGER, PARAMETER, PRIVATE :: rpnslots = 6\n\n LOGICAL, PARAMETER, PRIVATE :: detailed_timing = .FALSE.\n\n TYPE block_parameters\n LOGICAL :: tr = .FALSE.\n INTEGER :: logical_rows = -1, logical_cols = -1\n INTEGER :: offset = -1, nze = -1\n END TYPE block_parameters\n\n TYPE dgemm_join\n INTEGER :: p_a = -1, p_b = -1, p_c = -1\n INTEGER :: last_k = -1, last_n = -1\n TYPE(dbcsr_scalar_type) :: alpha = dbcsr_scalar_type(), beta = dbcsr_scalar_type()\n END TYPE dgemm_join\n\nCONTAINS\n\n SUBROUTINE dbcsr_remove_block(matrix, row, col, block_nze, block_number)\n !! Marks a block for removal from a DBCSR matrix. Handles\n !! symmetric matrices.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: row, col, block_nze\n !! row of block to remove\n !! column of block to remove\n INTEGER, INTENT(IN), OPTIONAL :: block_number\n !! the block number, if it is known\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_remove_block'\n\n INTEGER :: b, c, error_handle, r\n LOGICAL :: found, tr\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n IF (PRESENT(block_number)) THEN\n b = block_number\n IF (block_number .GT. matrix%nblks) &\n DBCSR_ABORT(\"Block number too big.\")\n found = .TRUE.\n ELSE\n CALL dbcsr_get_block_index(matrix, row, col, r, c, tr, found, b)\n END IF\n b = ABS(b)\n IF (found .AND. b .GT. 0) THEN\n ! Mark the block for deletion.\n matrix%blk_p(b) = 0\n matrix%valid = .FALSE.\n ! update nze accordingly\n matrix%nze = matrix%nze - block_nze\n IF (debug_mod) THEN\n IF (matrix%nze < 0) DBCSR_ABORT(\"nze < 0!\")\n END IF\n ELSE\n IF (debug_mod) THEN\n IF (b .EQ. 0) &\n DBCSR_WARN(\"Block does not exist or is already deleted.\")\n END IF\n END IF\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE dbcsr_remove_block\n\n SUBROUTINE dbcsr_get_block_p_area(matrix, row, col, block, tr, found, &\n row_size, col_size)\n !! Gets a block from a dbcsr matrix as a data area\n !!\n !! Data area\n !! The pointer encapsulated in the data area points to data stored in the\n !! matrix. It must be 2-dimensional.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: row, col\n !! the row\n !! the column\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: block\n !! the block to get\n LOGICAL, INTENT(OUT) :: tr, found\n !! whether the data is transposed\n !! whether the block exists in the matrix\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n !! logical row size of block\n !! logical column size of block\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_block_p_area'\n\n INTEGER :: blk, csize, error_handle, iw, offset, &\n rsize, stored_col, stored_row\n LOGICAL :: stored_tr\n TYPE(btree_data_cp2d) :: data_block_c\n TYPE(btree_data_dp2d) :: data_block_d\n TYPE(btree_data_sp2d) :: data_block_s\n TYPE(btree_data_zp2d) :: data_block_z\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n CALL dbcsr_get_block_index(matrix, row, col, stored_row, stored_col, &\n stored_tr, found, blk, offset)\n\n tr = stored_tr\n\n rsize = dbcsr_blk_row_size(matrix, stored_row)\n csize = dbcsr_blk_column_size(matrix, stored_col)\n IF (PRESENT(row_size)) row_size = rsize\n IF (PRESENT(col_size)) col_size = csize\n\n CALL dbcsr_data_clear_pointer(block)\n IF (found) THEN\n CALL dbcsr_set_block_pointer(matrix, block, rsize, csize, stored_tr, offset)\n ELSEIF (ASSOCIATED(matrix%wms)) THEN\n iw = 1\n!$ iw = omp_get_thread_num() + 1\n IF (.NOT. dbcsr_use_mutable(matrix)) &\n DBCSR_ABORT(\"Can not retrieve blocks from non-mutable work matrices.\")\n IF (dbcsr_mutable_instantiated(matrix%wms(iw)%mutable)) THEN\n SELECT CASE (block%d%data_type)\n CASE (dbcsr_type_real_4_2d)\n CALL btree_find( &\n matrix%wms(iw)%mutable%m%btree_s, &\n make_coordinate_tuple(stored_row, stored_col), &\n data_block_s, found)\n IF (found) THEN\n CALL dbcsr_data_set_pointer(block, data_block_s%p)\n END IF\n CASE (dbcsr_type_real_8_2d)\n CALL btree_find( &\n matrix%wms(iw)%mutable%m%btree_d, &\n make_coordinate_tuple(stored_row, stored_col), &\n data_block_d, found)\n IF (found) THEN\n CALL dbcsr_data_set_pointer(block, data_block_d%p)\n END IF\n CASE (dbcsr_type_complex_4_2d)\n CALL btree_find( &\n matrix%wms(iw)%mutable%m%btree_c, &\n make_coordinate_tuple(stored_row, stored_col), &\n data_block_c, found)\n IF (found) THEN\n CALL dbcsr_data_set_pointer(block, data_block_c%p)\n END IF\n CASE (dbcsr_type_complex_8_2d)\n CALL btree_find( &\n matrix%wms(iw)%mutable%m%btree_z, &\n make_coordinate_tuple(stored_row, stored_col), &\n data_block_z, found)\n IF (found) THEN\n CALL dbcsr_data_set_pointer(block, data_block_z%p)\n END IF\n CASE default\n DBCSR_ABORT(\"Only 2-D data for block pointers!\")\n END SELECT\n END IF\n END IF\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE dbcsr_get_block_p_area\n\n SUBROUTINE dbcsr_put_block_area(matrix, row, col, block, lb_row_col, transposed, &\n summation, flop, scale)\n !! We allow :\n !! matrix(dp) [+]= [scale(dp)] * block(dp)\n !! matrix(dp) [+]= [scale(dp)] * block(sp)\n !! matrix(sp) [+]= [scale(dp)] * block(sp)\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: row, col\n TYPE(dbcsr_data_obj) :: block\n INTEGER, DIMENSION(2), INTENT(INOUT), OPTIONAL :: lb_row_col\n LOGICAL, INTENT(IN), OPTIONAL :: transposed, summation\n INTEGER(KIND=int_8), INTENT(INOUT), OPTIONAL :: flop\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_put_block_area'\n\n INTEGER :: data_type_m, error_handle\n LOGICAL :: do_scale\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n data_type_m = dbcsr_get_data_type(matrix)\n do_scale = PRESENT(scale)\n IF (do_scale) THEN\n !IF(data_type_m /= scale%data_type) &\n ! DBCSR_ABORT(\"Incompatible data types matrix=\"//data_type_m//\" scale=\"//scale%data_type)\n END IF\n IF (.NOT. ASSOCIATED(block%d)) &\n DBCSR_ABORT(\"Can only add valid data block!\")\n SELECT CASE (block%d%data_type)\n CASE (dbcsr_type_real_4)\n IF (do_scale) THEN\n IF (data_type_m .EQ. dbcsr_type_real_4) THEN\n CALL dbcsr_put_block(matrix, row, col, dbcsr_get_data_p_s(block), lb_row_col, transposed, &\n summation, flop, scale=scale%r_sp)\n ELSEIF (data_type_m .EQ. dbcsr_type_real_8) THEN\n CALL dbcsr_put_block(matrix, row, col, &\n REAL(dbcsr_get_data_p_s(block), real_8), lb_row_col, transposed, &\n summation, flop, scale=REAL(scale%r_sp, real_8))\n END IF\n ELSE\n IF (data_type_m .EQ. dbcsr_type_real_4) THEN\n CALL dbcsr_put_block(matrix, row, col, dbcsr_get_data_p_s(block), lb_row_col, transposed, &\n summation, flop)\n ELSEIF (data_type_m .EQ. dbcsr_type_real_8) THEN\n CALL dbcsr_put_block(matrix, row, col, &\n REAL(dbcsr_get_data_p_s(block), real_8), lb_row_col, transposed, &\n summation, flop)\n END IF\n END IF\n CASE (dbcsr_type_real_8)\n IF (do_scale) THEN\n CALL dbcsr_put_block(matrix, row, col, dbcsr_get_data_p_d(block), lb_row_col, transposed, &\n summation, flop, scale=scale%r_dp)\n ELSE\n CALL dbcsr_put_block(matrix, row, col, dbcsr_get_data_p_d(block), lb_row_col, transposed, &\n summation, flop)\n END IF\n CASE (dbcsr_type_complex_4)\n IF (do_scale) THEN\n CALL dbcsr_put_block(matrix, row, col, dbcsr_get_data_p_c(block), lb_row_col, transposed, &\n summation, flop, scale=scale%c_sp)\n ELSE\n CALL dbcsr_put_block(matrix, row, col, dbcsr_get_data_p_c(block), lb_row_col, transposed, &\n summation, flop)\n END IF\n CASE (dbcsr_type_complex_8)\n IF (do_scale) THEN\n CALL dbcsr_put_block(matrix, row, col, block%d%c_dp, lb_row_col, transposed, &\n summation, flop, scale=scale%c_dp)\n ELSE\n CALL dbcsr_put_block(matrix, row, col, block%d%c_dp, lb_row_col, transposed, &\n summation, flop)\n END IF\n CASE (dbcsr_type_real_4_2d)\n IF (do_scale) THEN\n CALL dbcsr_put_block(matrix, row, col, block%d%r2_sp, lb_row_col, transposed, &\n summation, flop, scale=scale%r_sp)\n ELSE\n CALL dbcsr_put_block(matrix, row, col, block%d%r2_sp, lb_row_col, transposed, &\n summation, flop)\n END IF\n CASE (dbcsr_type_real_8_2d)\n IF (do_scale) THEN\n CALL dbcsr_put_block(matrix, row, col, block%d%r2_dp, lb_row_col, transposed, &\n summation, flop, scale=scale%r_dp)\n ELSE\n CALL dbcsr_put_block(matrix, row, col, block%d%r2_dp, lb_row_col, transposed, &\n summation, flop)\n END IF\n CASE (dbcsr_type_complex_4_2d)\n IF (do_scale) THEN\n CALL dbcsr_put_block(matrix, row, col, block%d%c2_sp, lb_row_col, transposed, &\n summation, flop, scale=scale%c_sp)\n ELSE\n CALL dbcsr_put_block(matrix, row, col, block%d%c2_sp, lb_row_col, transposed, &\n summation, flop)\n END IF\n CASE (dbcsr_type_complex_8_2d)\n IF (do_scale) THEN\n CALL dbcsr_put_block(matrix, row, col, block%d%c2_dp, lb_row_col, transposed, &\n summation, flop, scale=scale%c_dp)\n ELSE\n CALL dbcsr_put_block(matrix, row, col, block%d%c2_dp, lb_row_col, transposed, &\n summation, flop)\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE dbcsr_put_block_area\n\n SUBROUTINE dbcsr_reserve_all_blocks(matrix)\n !! Inserts all blocks of a dbcsr matrix to make it a full matrix.\n !! Thus obviously not linear scaling.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! Matrix into which blocks should be added.\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_reserve_all_blocks'\n\n INTEGER :: blk_count, col, col_local, col_s, &\n error_handle, myrank, rank, row, &\n row_local, row_s\n INTEGER, ALLOCATABLE, DIMENSION(:) :: columns, rows\n INTEGER, DIMENSION(:), POINTER :: local_cols, local_rows\n LOGICAL :: tr\n\n CALL timeset(routineN, error_handle)\n\n myrank = dbcsr_mp_mynode(dbcsr_distribution_mp(dbcsr_distribution(matrix)))\n local_rows => dbcsr_distribution_local_rows(dbcsr_distribution(matrix))\n local_cols => dbcsr_distribution_local_cols(dbcsr_distribution(matrix))\n\n blk_count = 0\n ! should be possible to loop only over the local blockrows/blockcols\n DO row_local = 1, SIZE(local_rows)\n DO col_local = 1, SIZE(local_cols)\n tr = .FALSE.\n row = local_rows(row_local)\n col = local_cols(col_local)\n row_s = row; col_s = col\n CALL dbcsr_get_stored_coordinates(matrix, row_s, col_s, rank)\n ! is that the correct condition for symmetric matrices ?\n IF (rank .EQ. myrank .AND. row_s .EQ. row .AND. col_s .EQ. col) blk_count = blk_count + 1\n END DO\n END DO\n\n ALLOCATE (rows(blk_count), columns(blk_count))\n\n blk_count = 0\n DO row_local = 1, SIZE(local_rows)\n DO col_local = 1, SIZE(local_cols)\n tr = .FALSE.\n row = local_rows(row_local)\n col = local_cols(col_local)\n row_s = row; col_s = col\n CALL dbcsr_get_stored_coordinates(matrix, row_s, col_s, rank)\n IF (rank .EQ. myrank .AND. row_s .EQ. row .AND. col_s .EQ. col) THEN\n blk_count = blk_count + 1\n rows(blk_count) = row\n columns(blk_count) = col\n END IF\n END DO\n END DO\n\n CALL dbcsr_reserve_blocks(matrix, rows, columns)\n\n CALL timestop(error_handle)\n\n END SUBROUTINE dbcsr_reserve_all_blocks\n\n SUBROUTINE dbcsr_reserve_diag_blocks(matrix)\n !! Inserts diagonal blocks of a dbcsr matrix to make it a matrix with at least all diagonal blocks present\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! Matrix into which blocks should be added.\n\n INTEGER :: blk_count, col, col_s, myrank, rank, &\n row, row_s\n INTEGER, ALLOCATABLE, DIMENSION(:) :: columns, rows\n LOGICAL :: tr\n\n myrank = dbcsr_mp_mynode(dbcsr_distribution_mp(dbcsr_distribution(matrix)))\n\n blk_count = 0\n ! should be possible to loop only over the local blockrows/blockcols\n DO row = 1, dbcsr_nblkrows_total(matrix)\n col = row\n tr = .FALSE.\n row_s = row; col_s = col\n CALL dbcsr_get_stored_coordinates(matrix, row_s, col_s, rank)\n IF (rank .EQ. myrank .AND. row_s .EQ. row .AND. col_s .EQ. col) blk_count = blk_count + 1\n END DO\n\n ALLOCATE (rows(blk_count), columns(blk_count))\n\n blk_count = 0\n DO row = 1, dbcsr_nblkrows_total(matrix)\n col = row\n tr = .FALSE.\n row_s = row; col_s = col\n CALL dbcsr_get_stored_coordinates(matrix, row_s, col_s, rank)\n IF (rank .EQ. myrank .AND. row_s .EQ. row .AND. col_s .EQ. col) THEN\n blk_count = blk_count + 1\n rows(blk_count) = row\n columns(blk_count) = col\n END IF\n END DO\n\n CALL dbcsr_reserve_blocks(matrix, rows, columns)\n\n END SUBROUTINE dbcsr_reserve_diag_blocks\n\n SUBROUTINE dbcsr_reserve_blocks(matrix, rows, columns, blk_pointers)\n !! Inserts block reservations into a matrix, avoiding the work matrix.\n !!\n !! Data\n !! No data can be specified; instead, space is reserved and zeroed. To\n !! add data, call dbcsr_put_block afterwards.\n !!\n !! Reserving existing blocks\n !! Duplicates are not added, but allocations may be greater than\n !! the minimum necessary.\n !!\n !! blk_pointers\n !! When blk_pointers is passed, the newly added blocks use these pointers.\n !! No data is cleared in this case\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! Matrix into which blocks should be added.\n INTEGER, DIMENSION(:), INTENT(IN) :: rows, columns\n !! Rows of the blocks to add\n !! Columns of the blocks to add\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: blk_pointers\n !! block pointers to use for new blocks\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_reserve_blocks'\n\n INTEGER :: blk, blk_p, data_size_new, data_size_old, handle, nblkrows, nblks_actual_added, &\n nblks_added, nblks_new, nblks_old, new_data_sizes, nze\n INTEGER, ALLOCATABLE, DIMENSION(:) :: add_blkp, add_cols, add_rows, &\n added_sizes, new_blk_p, new_col_i, &\n new_row_i, old_row_i\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: added_blk_info\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (SIZE(rows) /= SIZE(columns)) &\n DBCSR_ABORT(\"Size of rows and columns array must match.\")\n IF (PRESENT(blk_pointers)) THEN\n IF (SIZE(rows) /= SIZE(blk_pointers)) &\n DBCSR_ABORT(\"Size of rows and block pointecs arrays must match.\")\n data_size_old = 0\n ELSE\n ! Get current data size\n data_size_old = dbcsr_data_get_size_referenced(matrix%data_area)\n END IF\n ! Ensures that the rows and columns are sorted.\n nblks_added = SIZE(rows)\n ALLOCATE (add_rows(nblks_added))\n add_rows(:) = rows(:)\n ALLOCATE (add_cols(nblks_added))\n add_cols(:) = columns(:)\n IF (PRESENT(blk_pointers)) THEN\n ALLOCATE (add_blkp(nblks_added))\n add_blkp(:) = blk_pointers(:)\n CALL dbcsr_sort_indices(nblks_added, add_rows, add_cols, &\n blk_p=add_blkp)\n ELSE\n CALL dbcsr_sort_indices(nblks_added, add_rows, add_cols)\n END IF\n nblks_old = dbcsr_get_num_blocks(matrix)\n nblkrows = dbcsr_nblkrows_total(matrix)\n IF (SIZE(rows) .GT. 0 .AND. nblkrows .LE. 0) &\n DBCSR_ABORT(\"Can not add blocks to matrix with no rows.\")\n ! Adjust the index.\n ! Get the old row indices\n ALLOCATE (old_row_i(nblks_old))\n CALL dbcsr_expand_row_index(matrix%row_p, old_row_i, &\n nblkrows, nblks_old)\n ! Calculate new block pointers. Possibly high estimates.\n new_data_sizes = 0\n blk_p = data_size_old + 1 ! New blocks start at the end of the old\n ALLOCATE (added_blk_info(3, nblks_added))\n ALLOCATE (added_sizes(nblks_added))\n DO blk = 1, nblks_added\n IF (PRESENT(blk_pointers)) THEN\n blk_p = add_blkp(blk)\n END IF\n added_blk_info(1:3, blk) = (/add_rows(blk), add_cols(blk), blk_p/)\n nze = dbcsr_blk_row_size(matrix, add_rows(blk)) &\n *dbcsr_blk_column_size(matrix, add_cols(blk))\n added_sizes(blk) = nze\n blk_p = blk_p + nze\n END DO\n DEALLOCATE (add_rows)\n DEALLOCATE (add_cols)\n IF (PRESENT(blk_pointers)) DEALLOCATE (add_blkp)\n !\n nblks_new = nblks_old + nblks_added ! Possibly high estimate\n ALLOCATE (new_row_i(nblks_new))\n ALLOCATE (new_col_i(nblks_new))\n ALLOCATE (new_blk_p(nblks_new))\n ! Merge the two indices\n IF (PRESENT(blk_pointers)) THEN\n CALL merge_index_arrays(new_row_i, new_col_i, new_blk_p, nblks_new, &\n old_row_i, matrix%col_i, matrix%blk_p, nblks_old, &\n added_blk_info, nblks_added, added_nblks=nblks_actual_added)\n data_size_new = 0\n ELSE\n CALL merge_index_arrays(new_row_i, new_col_i, new_blk_p, nblks_new, &\n old_row_i, matrix%col_i, matrix%blk_p, nblks_old, &\n added_blk_info, nblks_added, added_nblks=nblks_actual_added, &\n added_sizes=added_sizes, added_size_offset=data_size_old + 1, &\n added_size=data_size_new)\n END IF\n nblks_new = nblks_actual_added + nblks_old\n ! Free some memory\n DEALLOCATE (added_blk_info)\n DEALLOCATE (added_sizes)\n DEALLOCATE (old_row_i)\n ! We can skip this if no block was actually added.\n IF (nblks_actual_added .GT. 0) THEN\n ! Write the new index\n matrix%nblks = nblks_new\n matrix%nze = matrix%nze + data_size_new\n matrix%index(dbcsr_slot_nblks) = matrix%nblks\n matrix%index(dbcsr_slot_nze) = matrix%index(dbcsr_slot_nze)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_col_i)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_blk_p)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_col_i, &\n new_col_i(1:nblks_new), &\n extra=nblks_new)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_blk_p, &\n new_blk_p(1:nblks_new))\n CALL dbcsr_make_dbcsr_index(matrix%row_p, new_row_i(1:nblks_new), &\n nblkrows, nblks_new)\n IF (.NOT. PRESENT(blk_pointers)) THEN\n ! Resize data area to fit the new blocks.\n CALL dbcsr_data_ensure_size(matrix%data_area, &\n data_size=matrix%nze)\n ! Zero the new data blocks.\n CALL dbcsr_data_clear(matrix%data_area, &\n lb=data_size_old + 1, ub=matrix%nze)\n END IF\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_reserve_blocks\n\n SUBROUTINE dbcsr_set_block_pointer_any(matrix, pointer_any, &\n rsize, csize, main_tr, base_offset)\n !! Sets a pointer, possibly using the buffers.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! Matrix to use\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: pointer_any\n !! The pointer to set\n INTEGER, INTENT(IN) :: rsize, csize\n !! Row sizes of block to point to\n !! Column sizes of block to point to\n LOGICAL, INTENT(IN) :: main_tr\n !! Whether block is transposed in the matrix\n INTEGER, INTENT(IN) :: base_offset\n !! The block pointer\n\n! ---------------------------------------------------------------------------\n\n IF (main_tr) THEN\n CALL dbcsr_data_set_pointer(pointer_any, csize, rsize, &\n matrix%data_area, source_lb=base_offset)\n ELSE\n CALL dbcsr_data_set_pointer(pointer_any, rsize, csize, &\n matrix%data_area, source_lb=base_offset)\n END IF\n END SUBROUTINE dbcsr_set_block_pointer_any\n\n #:include '../data/dbcsr.fypp'\n\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n SUBROUTINE dbcsr_get_2d_block_p_${nametype1}$ (matrix, row, col, block, tr, found, &\n row_size, col_size)\n !! Gets a 2-d block from a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: row, col\n !! the row\n !! the column\n ${type1}$, DIMENSION(:, :), POINTER :: block\n !! the block to get (rank-2 array)\n LOGICAL, INTENT(OUT) :: tr\n !! whether the data is transposed\n LOGICAL, INTENT(OUT) :: found\n !! whether the block exists in the matrix\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n !! logical row size of block\n !! logical column size of block\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_2d_block_p_${nametype1}$'\n\n ${type1}$, DIMENSION(:), POINTER :: block_1d\n INTEGER :: rsize, csize, &\n blk, nze, offset, &\n stored_row, &\n stored_col, iw, nwms\n INTEGER :: error_handle\n TYPE(btree_data_${nametype1}$p2d) :: data_block\n LOGICAL :: stored_tr\n ${type1}$, DIMENSION(1, 1), TARGET, SAVE :: block0\n! ---------------------------------------------------------------------------\n IF (careful_mod) CALL timeset(routineN, error_handle)\n IF (debug_mod) THEN\n IF (matrix%data_type /= ${dkind1}$) &\n DBCSR_ABORT(\"Data type mismatch for requested block.\")\n END IF\n\n CALL dbcsr_get_block_index(matrix, row, col, stored_row, stored_col, &\n stored_tr, found, blk, offset)\n tr = stored_tr\n\n rsize = dbcsr_blk_row_size(matrix, stored_row)\n csize = dbcsr_blk_column_size(matrix, stored_col)\n IF (PRESENT(row_size)) row_size = rsize\n IF (PRESENT(col_size)) col_size = csize\n\n NULLIFY (block)\n IF (found) THEN\n nze = rsize*csize\n IF (nze .eq. 0) THEN\n found = .TRUE.\n block => block0(1:0, 1:0)\n ELSE\n block_1d => pointer_view(dbcsr_get_data_p( &\n matrix%data_area, ${zero1[n]}$), offset, offset + nze - 1)\n CALL dbcsr_set_block_pointer(matrix, block, rsize, csize, offset)\n END IF\n ELSEIF (ASSOCIATED(matrix%wms)) THEN\n nwms = SIZE(matrix%wms)\n iw = 1\n!$ IF (nwms < omp_get_num_threads()) &\n!$ DBCSR_ABORT(\"Number of work matrices not equal to number of threads\")\n!$ iw = omp_get_thread_num() + 1\n IF (.NOT. dbcsr_use_mutable(matrix)) &\n DBCSR_ABORT(\"Can not retrieve blocks from non-mutable work matrices.\")\n IF (dbcsr_use_mutable(matrix)) THEN\n IF (.NOT. dbcsr_mutable_instantiated(matrix%wms(iw)%mutable)) THEN\n CALL dbcsr_mutable_new(matrix%wms(iw)%mutable, &\n dbcsr_get_data_type(matrix))\n END IF\n CALL btree_find( &\n matrix%wms(iw)%mutable%m%btree_${nametype1}$, &\n make_coordinate_tuple(stored_row, stored_col), &\n data_block, found)\n IF (found) THEN\n block => data_block%p\n END IF\n END IF\n END IF\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE dbcsr_get_2d_block_p_${nametype1}$\n\n SUBROUTINE dbcsr_get_block_p_${nametype1}$ (matrix, row, col, block, tr, found, &\n row_size, col_size)\n !! Gets a 1-d block from a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: row, col\n !! the row\n !! the column\n ${type1}$, DIMENSION(:), POINTER :: block\n !! the block to get (rank-1 array)\n LOGICAL, INTENT(OUT) :: tr\n !! whether the data is transposed\n LOGICAL, INTENT(OUT) :: found\n !! whether the block exists in the matrix\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n !! logical row size of block\n !! logical column size of block\n\n INTEGER :: blk, csize, &\n nze, offset, &\n rsize, stored_row, &\n stored_col\n LOGICAL :: stored_tr\n\n! ---------------------------------------------------------------------------\n\n IF (debug_mod) THEN\n IF (matrix%data_type /= ${dkind1}$) &\n DBCSR_ABORT(\"Data type mismatch for requested block.\")\n END IF\n\n CALL dbcsr_get_block_index(matrix, row, col, stored_row, stored_col, &\n stored_tr, found, blk, offset)\n tr = stored_tr\n\n rsize = dbcsr_blk_row_size(matrix, stored_row)\n csize = dbcsr_blk_column_size(matrix, stored_col)\n IF (PRESENT(row_size)) row_size = rsize\n IF (PRESENT(col_size)) col_size = csize\n\n NULLIFY (block)\n IF (found) THEN\n nze = rsize*csize\n !\n block => pointer_view( &\n dbcsr_get_data_p(matrix%data_area, ${zero1[n]}$), offset, offset + nze - 1 &\n )\n ELSEIF (ASSOCIATED(matrix%wms)) THEN\n IF (.NOT. dbcsr_use_mutable(matrix)) &\n DBCSR_ABORT(\"Can not retrieve blocks from non-mutable work matrices.\")\n IF (dbcsr_use_mutable(matrix)) &\n DBCSR_ABORT(\"Can not retrieve rank-1 block pointers from mutable work matrices.\")\n END IF\n END SUBROUTINE dbcsr_get_block_p_${nametype1}$\n\n SUBROUTINE dbcsr_reserve_block2d_${nametype1}$ (matrix, row, col, block, &\n transposed, existed)\n !! Put a 2-D block in a DBCSR matrix using the btree\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: row, col\n !! the row\n !! the column\n ${type1}$, DIMENSION(:, :), POINTER :: block\n !! the block to reserve; added if not NULL\n LOGICAL, INTENT(IN), OPTIONAL :: transposed\n !! the block holds transposed data\n LOGICAL, INTENT(OUT), OPTIONAL :: existed\n !! block already existed\n\n TYPE(btree_data_${nametype1}$p2d) :: data_block, data_block2\n INTEGER :: col_size, row_size, &\n stored_row, stored_col, &\n iw, nwms\n INTEGER, DIMENSION(:), POINTER :: col_blk_size, row_blk_size\n LOGICAL :: found, gift, tr, sym_tr\n ${type1}$, DIMENSION(:, :), POINTER :: original_block\n\n! ---------------------------------------------------------------------------\n\n gift = ASSOCIATED(block)\n IF (gift) THEN\n original_block => block\n ELSE\n NULLIFY (original_block)\n END IF\n row_blk_size => array_data(matrix%row_blk_size)\n col_blk_size => array_data(matrix%col_blk_size)\n row_size = row_blk_size(row)\n col_size = col_blk_size(col)\n\n stored_row = row; stored_col = col\n IF (PRESENT(transposed)) THEN\n tr = transposed\n ELSE\n tr = .FALSE.\n END IF\n sym_tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(matrix, stored_row, stored_col)\n IF (.NOT. ASSOCIATED(matrix%wms)) THEN\n CALL dbcsr_work_create(matrix, work_mutable=.TRUE.)\n!$OMP MASTER\n matrix%valid = .FALSE.\n!$OMP END MASTER\n!$OMP BARRIER\n END IF\n\n NULLIFY (data_block%p)\n IF (.NOT. gift) THEN\n ALLOCATE (data_block%p(row_size, col_size))\n block => data_block%p\n ELSE\n data_block%p => block\n END IF\n data_block%tr = tr\n\n nwms = SIZE(matrix%wms)\n iw = 1\n!$ IF (nwms < omp_get_num_threads()) &\n!$ DBCSR_ABORT(\"Number of work matrices not equal to number of threads\")\n!$ iw = omp_get_thread_num() + 1\n CALL btree_add(matrix%wms(iw)%mutable%m%btree_${nametype1}$, &\n make_coordinate_tuple(stored_row, stored_col), &\n data_block, found, data_block2)\n\n IF (.NOT. found) THEN\n#if defined(_OPENMP) && (200711 <= _OPENMP)\n!$OMP ATOMIC WRITE\n matrix%valid = .FALSE.\n#else\n!$OMP CRITICAL (critical_reserve_block2d)\n matrix%valid = .FALSE.\n!$OMP END CRITICAL (critical_reserve_block2d)\n#endif\n matrix%wms(iw)%lastblk = matrix%wms(iw)%lastblk + 1\n matrix%wms(iw)%datasize = matrix%wms(iw)%datasize + row_size*col_size\n ELSE\n IF (.NOT. gift) THEN\n DEALLOCATE (data_block%p)\n ELSE\n DEALLOCATE (original_block)\n END IF\n block => data_block2%p\n END IF\n IF (PRESENT(existed)) existed = found\n END SUBROUTINE dbcsr_reserve_block2d_${nametype1}$\n\n SUBROUTINE dbcsr_put_block2d_${nametype1}$ (matrix, row, col, block, lb_row_col, transposed, &\n summation, flop, scale)\n !! Put a 2-D block in a DBCSR matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: row, col\n !! the row\n !! the column\n ${type1}$, DIMENSION(:, :), INTENT(IN), &\n CONTIGUOUS, TARGET :: block\n !! the block to put\n INTEGER, DIMENSION(2), OPTIONAL, INTENT(INOUT) :: lb_row_col\n LOGICAL, INTENT(IN), OPTIONAL :: transposed, summation\n !! the block is transposed\n !! if block exists, then sum the new block to the old one instead of replacing it\n INTEGER(KIND=int_8), INTENT(INOUT), OPTIONAL :: flop\n ${type1}$, INTENT(IN), OPTIONAL :: scale\n !! scale the block being added\n\n ${type1}$, DIMENSION(:), POINTER :: block_1d\n\n NULLIFY (block_1d)\n\n block_1d(1:SIZE(block)) => block\n\n CALL dbcsr_put_block(matrix, row, col, block_1d, lb_row_col, transposed, summation, flop, scale)\n END SUBROUTINE dbcsr_put_block2d_${nametype1}$\n\n SUBROUTINE dbcsr_put_block_${nametype1}$ (matrix, row, col, block, lb_row_col, transposed, &\n summation, flop, scale)\n !! Inserts a block in a dbcsr matrix.\n !! If the block exists, the current data is overwritten.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: row, col\n !! the logical row\n !! the logical column\n ${type1}$, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: block\n !! the block to put\n INTEGER, DIMENSION(2), OPTIONAL, INTENT(INOUT) :: lb_row_col\n LOGICAL, INTENT(IN), OPTIONAL :: transposed, summation\n !! the block is transposed\n !! if block exists, then sum the new block to the old one instead of replacing it\n INTEGER(KIND=int_8), INTENT(INOUT), OPTIONAL :: flop\n ${type1}$, INTENT(IN), OPTIONAL :: scale\n !! scale the OBblock being added\n\n TYPE(btree_data_${nametype1}$p2d) :: data_block, data_block2\n INTEGER :: blk, col_size, &\n nze, offset, &\n row_size, blk_p, &\n stored_row, stored_col, &\n iw, nwms\n LOGICAL :: found, tr, do_sum, tr_diff\n ${type1}$, DIMENSION(:), POINTER :: block_1d\n INTEGER(KIND=int_8) :: my_flop\n\n! ---------------------------------------------------------------------------\n IF (PRESENT(transposed)) THEN\n tr = transposed\n ELSE\n tr = .FALSE.\n END IF\n IF (PRESENT(summation)) THEN\n do_sum = summation\n ELSE\n do_sum = .FALSE.\n END IF\n my_flop = 0\n row_size = dbcsr_blk_row_size(matrix, row)\n col_size = dbcsr_blk_column_size(matrix, col)\n IF (tr) CALL swap(row_size, col_size)\n\n stored_row = row; stored_col = col\n nze = row_size*col_size\n !\n IF (debug_mod .AND. SIZE(block) < nze) &\n DBCSR_ABORT(\"Invalid block dimensions\")\n CALL dbcsr_get_stored_block_info(matrix, stored_row, stored_col, &\n found, blk, lb_row_col, offset)\n IF (found) THEN\n ! let's copy the block\n offset = ABS(offset)\n ! Fix the index if the new block's transpose flag is different\n ! from the old one.\n tr_diff = .FALSE.\n IF (matrix%blk_p(blk) .LT. 0 .NEQV. tr) THEN\n tr_diff = .TRUE.\n matrix%blk_p(blk) = -matrix%blk_p(blk)\n END IF\n block_1d => pointer_view(dbcsr_get_data_p( &\n matrix%data_area, ${zero1[n]}$), offset, offset + nze - 1)\n IF (nze .GT. 0) THEN\n IF (do_sum) THEN\n IF (tr_diff) &\n block_1d = RESHAPE(TRANSPOSE(RESHAPE(block_1d, (/col_size, row_size/))), (/nze/))\n IF (PRESENT(scale)) THEN\n CALL ${nametype1}$axpy(nze, scale, block(1:nze), 1, &\n block_1d, 1)\n ELSE\n CALL ${nametype1}$axpy(nze, ${one1[n]}$, block(1:nze), 1, &\n block_1d, 1)\n END IF\n my_flop = my_flop + nze*2\n ELSE\n IF (PRESENT(scale)) THEN\n CALL ${nametype1}$copy(nze, scale*block(1:nze), 1, &\n block_1d, 1)\n ELSE\n CALL ${nametype1}$copy(nze, block(1:nze), 1, &\n block_1d, 1)\n END IF\n END IF\n END IF\n ELSE\n !!@@@\n !call dbcsr_assert (associated (matrix%wms), dbcsr_fatal_level,&\n ! dbcsr_caller_error, routineN, \"Work matrices not prepared\")\n IF (.NOT. ASSOCIATED(matrix%wms)) THEN\n CALL dbcsr_work_create(matrix, nblks_guess=1, &\n sizedata_guess=nze)\n END IF\n nwms = SIZE(matrix%wms)\n iw = 1\n!$ IF (debug_mod .AND. nwms < omp_get_num_threads()) &\n!$ DBCSR_ABORT(\"Number of work matrices not equal to number of threads\")\n!$ iw = omp_get_thread_num() + 1\n blk_p = matrix%wms(iw)%datasize + 1\n IF (.NOT. dbcsr_wm_use_mutable(matrix%wms(iw))) THEN\n IF (tr) blk_p = -blk_p\n CALL add_work_coordinate(matrix%wms(iw), row, col, blk_p)\n CALL dbcsr_data_ensure_size(matrix%wms(iw)%data_area, &\n matrix%wms(iw)%datasize + nze, &\n factor=default_resize_factor)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_data_set(matrix%wms(iw)%data_area, ABS(blk_p), &\n data_size=nze, src=scale*block, source_lb=1)\n ELSE\n CALL dbcsr_data_set(matrix%wms(iw)%data_area, ABS(blk_p), &\n data_size=nze, src=block, source_lb=1)\n END IF\n ELSE\n ALLOCATE (data_block%p(row_size, col_size))\n IF (PRESENT(scale)) THEN\n data_block%p(:, :) = scale*RESHAPE(block, (/row_size, col_size/))\n ELSE\n data_block%p(:, :) = RESHAPE(block, (/row_size, col_size/))\n END IF\n data_block%tr = tr\n IF (.NOT. dbcsr_mutable_instantiated(matrix%wms(iw)%mutable)) THEN\n CALL dbcsr_mutable_new(matrix%wms(iw)%mutable, &\n dbcsr_get_data_type(matrix))\n END IF\n IF (.NOT. do_sum) THEN\n CALL btree_add( &\n matrix%wms(iw)%mutable%m%btree_${nametype1}$, &\n make_coordinate_tuple(stored_row, stored_col), &\n data_block, found, data_block2, replace=.TRUE.)\n IF (found) THEN\n IF (.NOT. ASSOCIATED(data_block2%p)) &\n DBCSR_WARN(\"Data was not present in block\")\n IF (ASSOCIATED(data_block2%p)) DEALLOCATE (data_block2%p)\n END IF\n ELSE\n CALL btree_add( &\n matrix%wms(iw)%mutable%m%btree_${nametype1}$, &\n make_coordinate_tuple(stored_row, stored_col), &\n data_block, found, data_block2, replace=.FALSE.)\n IF (found) THEN\n IF (nze > 0) &\n CALL ${nametype1}$axpy(nze, ${one1[n]}$, block, 1, &\n data_block2%p, 1)\n IF (.NOT. ASSOCIATED(data_block%p)) &\n DBCSR_WARN(\"Data was not present in block\")\n IF (ASSOCIATED(data_block%p)) DEALLOCATE (data_block%p)\n END IF\n END IF\n IF (.NOT. found) THEN\n matrix%wms(iw)%lastblk = matrix%wms(iw)%lastblk + 1\n END IF\n END IF\n IF (.NOT. found) THEN\n matrix%wms(iw)%datasize = matrix%wms(iw)%datasize + nze\n END IF\n!$OMP ATOMIC WRITE\n matrix%valid = .FALSE.\n END IF\n IF (PRESENT(flop)) flop = flop + my_flop\n END SUBROUTINE dbcsr_put_block_${nametype1}$\n\n SUBROUTINE dbcsr_set_block_pointer_2d_${nametype1}$ ( &\n matrix, pointer_any, rsize, csize, base_offset)\n !! Sets a pointer, possibly using the buffers.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! Matrix to use\n ${type1}$, DIMENSION(:, :), POINTER :: pointer_any\n !! The pointer to set\n INTEGER, INTENT(IN) :: rsize, csize\n !! Row size of block to point to\n !! Column size of block to point to\n INTEGER, INTENT(IN) :: base_offset\n !! The block pointer\n\n CHARACTER(len=*), PARAMETER :: &\n routineN = 'dbcsr_set_block_pointer_2d_${nametype1}$'\n\n INTEGER :: error_handler\n ${type1}$, DIMENSION(:), POINTER :: lin_blk_p\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, error_handler)\n CALL dbcsr_get_data(matrix%data_area, lin_blk_p, &\n lb=base_offset, ub=base_offset + rsize*csize - 1)\n CALL pointer_rank_remap2(pointer_any, rsize, csize, &\n lin_blk_p)\n IF (careful_mod) CALL timestop(error_handler)\n END SUBROUTINE dbcsr_set_block_pointer_2d_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_block_access\n" }, { "path": "src/block/dbcsr_block_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_block_operations\n !! Routines for basic block transformations.\n\n USE dbcsr_acc_devmem, ONLY: acc_devmem_allocated, &\n acc_devmem_setzero_bytes\n USE dbcsr_data_methods_low, ONLY: dbcsr_data_exists, &\n dbcsr_data_get_size, &\n dbcsr_data_get_size_referenced, &\n dbcsr_data_get_type, &\n dbcsr_data_verify_bounds, &\n dbcsr_type_2d_to_1d, &\n dbcsr_type_is_2d\n USE dbcsr_ptr_util, ONLY: memory_copy\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_datatype_sizeof, dbcsr_scalar_type, dbcsr_type_complex_4, &\n dbcsr_type_complex_4_2d, dbcsr_type_complex_8, dbcsr_type_complex_8_2d, dbcsr_type_real_4, &\n dbcsr_type_real_4_2d, dbcsr_type_real_8, dbcsr_type_real_8_2d\n USE dbcsr_kinds, ONLY: dp, &\n real_4, &\n real_8, &\n sp\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n#if defined(__LIBXSMM) && TO_VERSION(1, 10) < TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n# define __LIBXSMM_BLOCKOPS\n#endif\n#if defined(__LIBXSMM) && TO_VERSION(1, 10) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n# define __LIBXSMM_TRANS\n#endif\n#if defined(__MKL) || defined(__LIBXSMM_TRANS) || defined(__LIBXSMM_BLOCKOPS) || !defined(NDEBUG)\n! MKL: mkl_trans.fi header is obsolescent (use implicit \"interface\")\n# define PURE_BLOCKOPS\n#else\n! MKL: routines are impure, LIBXSMM: C_LOC is impure (F-standard mistake)\n# define PURE_BLOCKOPS PURE\n#endif\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_block_operations'\n\n PUBLIC :: dbcsr_block_transpose, dbcsr_block_transpose_aa, dbcsr_data_set\n PUBLIC :: dbcsr_block_copy_aa, dbcsr_block_partial_copy\n PUBLIC :: dbcsr_data_clear\n PUBLIC :: dbcsr_block_scale, dbcsr_block_conjg, dbcsr_block_real_neg\n\n PUBLIC :: dbcsr_data_copy\n\n PUBLIC :: block_add\n\n ! For quick access\n PUBLIC :: block_copy_s, block_copy_d, &\n block_copy_c, block_copy_z\n\n INTERFACE dbcsr_block_transpose\n MODULE PROCEDURE block_transpose_inplace_s, block_transpose_inplace_d, &\n block_transpose_inplace_c, block_transpose_inplace_z\n MODULE PROCEDURE block_transpose_copy_d, block_transpose_copy_s, &\n block_transpose_copy_z, block_transpose_copy_c\n MODULE PROCEDURE block_transpose_copy_2d1d_d, &\n block_transpose_copy_2d1d_s, &\n block_transpose_copy_2d1d_z, &\n block_transpose_copy_2d1d_c\n MODULE PROCEDURE block_transpose_copy_1d2d_d, &\n block_transpose_copy_1d2d_s, &\n block_transpose_copy_1d2d_z, &\n block_transpose_copy_1d2d_c\n MODULE PROCEDURE dbcsr_block_transpose_aa, dbcsr_block_transpose_a\n END INTERFACE\n\n INTERFACE dbcsr_block_copy\n MODULE PROCEDURE block_copy_2d1d_s, block_copy_2d1d_d, &\n block_copy_2d1d_c, block_copy_2d1d_z\n MODULE PROCEDURE block_copy_1d2d_s, block_copy_1d2d_d, &\n block_copy_1d2d_c, block_copy_1d2d_z\n MODULE PROCEDURE block_copy_1d1d_s, block_copy_1d1d_d, &\n block_copy_1d1d_c, block_copy_1d1d_z\n MODULE PROCEDURE block_copy_2d2d_s, block_copy_2d2d_d, &\n block_copy_2d2d_c, block_copy_2d2d_z\n END INTERFACE\n\n INTERFACE dbcsr_data_clear\n MODULE PROCEDURE dbcsr_data_clear_nt\n MODULE PROCEDURE dbcsr_data_clear0\n END INTERFACE\n\n ! Supports copy between two data areas, or to a data area from a\n ! given explicit array.\n INTERFACE dbcsr_data_set\n MODULE PROCEDURE dbcsr_data_copy_aa, dbcsr_data_set_as, &\n dbcsr_data_set_ad, dbcsr_data_set_ac, dbcsr_data_set_az\n END INTERFACE\n\n INTERFACE dbcsr_data_copy\n MODULE PROCEDURE dbcsr_data_copy_aa2, dbcsr_data_set_as, &\n dbcsr_data_set_ad, dbcsr_data_set_ac, dbcsr_data_set_az\n END INTERFACE\n\n INTERFACE block_add\n MODULE PROCEDURE block_add_anytype\n MODULE PROCEDURE block_add_anytype_bounds\n MODULE PROCEDURE block_add_s, block_add_d, block_add_c, block_add_z\n END INTERFACE block_add\n\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\nCONTAINS\n\n SUBROUTINE dbcsr_block_transpose_aa(dst, src, &\n row_size, col_size, lb, source_lb, scale, lb2, source_lb2)\n !! Copy data from one data area to another.\n !! There are no checks done for correctness!\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n !! destination data area\n TYPE(dbcsr_data_obj), INTENT(IN) :: src\n !! source data area\n INTEGER, INTENT(IN) :: row_size, col_size\n !! row size of existing block\n !! column size of existing block\n INTEGER, INTENT(IN), OPTIONAL :: lb, source_lb\n !! lower bound for destination (and source if not given explicitly)\n !! lower bound of source\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale\n !! scale data\n INTEGER, INTENT(IN), OPTIONAL :: lb2, source_lb2\n !! lower bound of 2nd dimension for target\n !! lower bound of 2nd dimension for source\n\n INTEGER :: data_size, lb2_s, lb2_t, lb_s, lb_t, &\n ub_s, ub_t\n! ---------------------------------------------------------------------------\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d) .OR. .NOT. ASSOCIATED(src%d)) &\n DBCSR_ABORT(\"Data areas must be setup.\")\n IF (dst%d%data_type /= src%d%data_type) &\n DBCSR_ABORT(\"Data type must be the same.\")\n IF (dst%d%data_type .NE. dbcsr_type_real_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_8_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4_2d) &\n DBCSR_WARN(\"Incorrect data type.\")\n IF (PRESENT(scale)) THEN\n IF (dbcsr_type_is_2d(src%d%data_type)) THEN\n IF (scale%data_type /= dbcsr_type_2d_to_1d(src%d%data_type)) &\n DBCSR_ABORT(\"Incompatible data types\")\n ELSE\n IF (scale%data_type /= src%d%data_type) &\n DBCSR_ABORT(\"Incompatible data types\")\n END IF\n END IF\n END IF\n data_size = row_size*col_size\n lb_t = 1\n IF (PRESENT(lb)) lb_t = lb\n ub_t = lb_t + data_size - 1\n IF (PRESENT(source_lb)) THEN\n lb_s = source_lb\n ub_s = source_lb + data_size - 1\n ELSE\n lb_s = lb_t\n ub_s = ub_t\n END IF\n lb2_t = 1\n IF (PRESENT(lb2)) lb2_t = lb2\n IF (PRESENT(source_lb2)) THEN\n lb2_s = source_lb2\n ELSE\n lb2_s = lb2_t\n END IF\n SELECT CASE (src%d%data_type)\n CASE (dbcsr_type_real_8)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_block_transpose(dst%d%r_dp(lb_t:ub_t), &\n src%d%r_dp(lb_s:ub_s)*scale%r_dp, &\n row_size, col_size)\n ELSE\n CALL dbcsr_block_transpose(dst%d%r_dp(lb_t:ub_t), &\n src%d%r_dp(lb_s:ub_s), &\n row_size, col_size)\n END IF\n CASE (dbcsr_type_real_4)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_block_transpose(dst%d%r_sp(lb_t:ub_t), &\n src%d%r_sp(lb_s:ub_s)*scale%r_sp, &\n row_size, col_size)\n ELSE\n CALL dbcsr_block_transpose(dst%d%r_sp(lb_t:ub_t), &\n src%d%r_sp(lb_s:ub_s), &\n row_size, col_size)\n END IF\n CASE (dbcsr_type_complex_8)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_block_transpose(dst%d%c_dp(lb_t:ub_t), &\n src%d%c_dp(lb_s:ub_s)*scale%c_dp, &\n row_size, col_size)\n ELSE\n CALL dbcsr_block_transpose(dst%d%c_dp(lb_t:ub_t), &\n src%d%c_dp(lb_s:ub_s), &\n row_size, col_size)\n END IF\n CASE (dbcsr_type_complex_4)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_block_transpose(dst%d%c_sp(lb_t:ub_t), &\n src%d%c_sp(lb_s:ub_s)*scale%c_sp, &\n row_size, col_size)\n ELSE\n CALL dbcsr_block_transpose(dst%d%c_sp(lb_t:ub_t), &\n src%d%c_sp(lb_s:ub_s), &\n row_size, col_size)\n END IF\n CASE (dbcsr_type_real_8_2d)\n IF (PRESENT(scale)) THEN\n dst%d%r2_dp(lb_t:lb_t + col_size - 1, lb2_t:lb2_t + row_size - 1) = &\n TRANSPOSE( &\n src%d%r2_dp(lb_s:lb_s + row_size - 1, lb2_s:lb2_s + col_size - 1) &\n *scale%r_dp)\n ELSE\n dst%d%r2_dp(lb_t:lb_t + col_size - 1, lb2_t:lb2_t + row_size - 1) = &\n TRANSPOSE( &\n src%d%r2_dp(lb_s:lb_s + row_size - 1, lb2_s:lb2_s + col_size - 1))\n END IF\n CASE (dbcsr_type_real_4_2d)\n IF (PRESENT(scale)) THEN\n dst%d%r2_sp(lb_t:lb_t + col_size - 1, lb2_t:lb2_t + row_size - 1) = &\n TRANSPOSE( &\n src%d%r2_sp(lb_s:lb_s + row_size - 1, lb2_s:lb2_s + col_size - 1) &\n *scale%r_sp)\n ELSE\n dst%d%r2_sp(lb_t:lb_t + col_size - 1, lb2_t:lb2_t + row_size - 1) = &\n TRANSPOSE( &\n src%d%r2_sp(lb_s:lb_s + row_size - 1, lb2_s:lb2_s + col_size - 1))\n END IF\n CASE (dbcsr_type_complex_8_2d)\n IF (PRESENT(scale)) THEN\n dst%d%c2_dp(lb_t:lb_t + col_size - 1, lb2_t:lb2_t + row_size - 1) = &\n TRANSPOSE( &\n src%d%c2_dp(lb_s:lb_s + row_size - 1, lb2_s:lb2_s + col_size - 1) &\n *scale%c_dp)\n ELSE\n dst%d%c2_dp(lb_t:lb_t + col_size - 1, lb2_t:lb2_t + row_size - 1) = &\n TRANSPOSE( &\n src%d%c2_dp(lb_s:lb_s + row_size - 1, lb2_s:lb2_s + col_size - 1))\n END IF\n CASE (dbcsr_type_complex_4_2d)\n IF (PRESENT(scale)) THEN\n dst%d%c2_sp(lb_t:lb_t + col_size - 1, lb2_t:lb2_t + row_size - 1) = &\n TRANSPOSE( &\n src%d%c2_sp(lb_s:lb_s + row_size - 1, lb2_s:lb2_s + col_size - 1) &\n *scale%c_sp)\n ELSE\n dst%d%c2_sp(lb_t:lb_t + col_size - 1, lb2_t:lb2_t + row_size - 1) = &\n TRANSPOSE( &\n src%d%c2_sp(lb_s:lb_s + row_size - 1, lb2_s:lb2_s + col_size - 1))\n END IF\n CASE default\n DBCSR_ABORT(\"Incorrect data type.\")\n END SELECT\n END SUBROUTINE dbcsr_block_transpose_aa\n\n SUBROUTINE dbcsr_block_copy_aa(dst, src, &\n row_size, col_size, lb, source_lb, scale)\n !! Copy data from one data area to another.\n !! There are no checks done for correctness!\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n !! destination data area\n TYPE(dbcsr_data_obj), INTENT(IN) :: src\n !! source data area\n INTEGER, INTENT(IN) :: row_size, col_size\n !! row size of existing block\n !! column size of existing block\n INTEGER, INTENT(IN), OPTIONAL :: lb, source_lb\n !! lower bound for destination (and source if not given explicitly)\n !! lower bound of source\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale\n !! scale data\n\n INTEGER :: data_size, lb_s, lb_t, ub_s, ub_t\n\n! ---------------------------------------------------------------------------\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d) .OR. .NOT. ASSOCIATED(src%d)) &\n DBCSR_ABORT(\"Data areas must be setup.\")\n IF (dst%d%data_type /= src%d%data_type) &\n DBCSR_ABORT(\"Data type must be the same.\")\n IF (dst%d%data_type .NE. dbcsr_type_real_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4) &\n DBCSR_WARN(\"Incorrect data type.\")\n IF (PRESENT(scale)) THEN\n IF (dbcsr_type_is_2d(src%d%data_type)) THEN\n IF (scale%data_type /= dbcsr_type_2d_to_1d(src%d%data_type)) &\n DBCSR_ABORT(\"Incompatible data types\")\n ELSE\n IF (scale%data_type /= src%d%data_type) &\n DBCSR_ABORT(\"Incompatible data types\")\n END IF\n END IF\n END IF\n data_size = row_size*col_size\n lb_t = 1\n IF (PRESENT(lb)) lb_t = lb\n ub_t = lb_t + data_size - 1\n IF (PRESENT(source_lb)) THEN\n lb_s = source_lb\n ub_s = source_lb + data_size - 1\n ELSE\n lb_s = lb_t\n ub_s = ub_t\n END IF\n SELECT CASE (src%d%data_type)\n CASE (dbcsr_type_real_8)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_block_copy(dst%d%r_dp(lb_t:ub_t), &\n src%d%r_dp(lb_s:ub_s)*scale%r_dp, &\n row_size, col_size)\n ELSE\n CALL dbcsr_block_copy(dst%d%r_dp(lb_t:ub_t), &\n src%d%r_dp(lb_s:ub_s), &\n row_size, col_size)\n END IF\n CASE (dbcsr_type_real_4)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_block_copy(dst%d%r_sp(lb_t:ub_t), &\n src%d%r_sp(lb_s:ub_s)*scale%r_sp, &\n row_size, col_size)\n ELSE\n CALL dbcsr_block_copy(dst%d%r_sp(lb_t:ub_t), &\n src%d%r_sp(lb_s:ub_s), &\n row_size, col_size)\n END IF\n CASE (dbcsr_type_complex_8)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_block_copy(dst%d%c_dp(lb_t:ub_t), &\n src%d%c_dp(lb_s:ub_s)*scale%c_dp, &\n row_size, col_size)\n ELSE\n CALL dbcsr_block_copy(dst%d%c_dp(lb_t:ub_t), &\n src%d%c_dp(lb_s:ub_s), &\n row_size, col_size)\n END IF\n CASE (dbcsr_type_complex_4)\n IF (PRESENT(scale)) THEN\n CALL dbcsr_block_copy(dst%d%c_sp(lb_t:ub_t), &\n src%d%c_sp(lb_s:ub_s)*scale%c_sp, &\n row_size, col_size)\n ELSE\n CALL dbcsr_block_copy(dst%d%c_sp(lb_t:ub_t), &\n src%d%c_sp(lb_s:ub_s), &\n row_size, col_size)\n END IF\n CASE default\n DBCSR_ABORT(\"Incorrect data type.\")\n END SELECT\n END SUBROUTINE dbcsr_block_copy_aa\n\n SUBROUTINE dbcsr_block_scale(dst, scale, &\n row_size, col_size, lb, lb2)\n !! Scale a data area.\n !! There are no checks done for correctness!\n !!\n !! History\n !! - 2010-09 [??] Copied from block_transpose?\n !! - 2010-09-20 [UB] Swaps/corrects row/column definitions for 2-D bounds\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n TYPE(dbcsr_scalar_type), INTENT(IN) :: scale\n !! scale data\n INTEGER, INTENT(IN) :: row_size, col_size\n !! row size of existing block\n !! column size of existing block\n INTEGER, INTENT(IN), OPTIONAL :: lb, lb2\n !! lower bound for destination (and source if not given explicitly)\n !! lower bound of 2nd dimension for target\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_block_scale'\n\n INTEGER :: data_size, handle, lb2_t, lb_t, ub_t\n! ---------------------------------------------------------------------------\n IF (careful_mod) CALL timeset(routineN, handle)\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d)) &\n DBCSR_ABORT(\"Data area must be setup.\")\n IF (dst%d%data_type .NE. dbcsr_type_real_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_8_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4_2d) &\n DBCSR_WARN(\"Incorrect data type.\")\n END IF\n IF (scale%data_type /= dbcsr_type_2d_to_1d(dst%d%data_type)) &\n DBCSR_ABORT(\"Incompatible data types\")\n\n data_size = row_size*col_size\n lb_t = 1\n IF (PRESENT(lb)) lb_t = lb\n ub_t = lb_t + data_size - 1\n lb2_t = 1\n IF (PRESENT(lb2)) lb2_t = lb2\n SELECT CASE (dst%d%data_type)\n CASE (dbcsr_type_real_8)\n dst%d%r_dp(lb_t:ub_t) = dst%d%r_dp(lb_t:ub_t)*scale%r_dp\n CASE (dbcsr_type_real_4)\n dst%d%r_sp(lb_t:ub_t) = dst%d%r_sp(lb_t:ub_t)*scale%r_sp\n CASE (dbcsr_type_complex_8)\n dst%d%c_dp(lb_t:ub_t) = dst%d%c_dp(lb_t:ub_t)*scale%c_dp\n CASE (dbcsr_type_complex_4)\n dst%d%c_sp(lb_t:ub_t) = dst%d%c_sp(lb_t:ub_t)*scale%c_sp\n CASE (dbcsr_type_real_8_2d)\n dst%d%r2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n dst%d%r2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)*scale%r_dp\n CASE (dbcsr_type_real_4_2d)\n dst%d%r2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n dst%d%r2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)*scale%r_sp\n CASE (dbcsr_type_complex_8_2d)\n dst%d%c2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n dst%d%c2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)*scale%c_dp\n CASE (dbcsr_type_complex_4_2d)\n dst%d%c2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n dst%d%c2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)*scale%c_sp\n CASE default\n DBCSR_ABORT(\"Incorrect data type.\")\n END SELECT\n IF (careful_mod) CALL timestop(handle)\n END SUBROUTINE dbcsr_block_scale\n\n SUBROUTINE dbcsr_block_real_neg(dst, &\n row_size, col_size, lb, lb2)\n !! Negates the real part of a block\n !! There are no checks done for correctness!\n !!\n !! History\n !! - 2010-09 [??] Copied from block_transpose?\n !! - 2010-09-20 [UB] Swaps/corrects row/column definitions for 2-D bounds\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n INTEGER, INTENT(IN) :: row_size, col_size\n !! row size of existing block\n !! column size of existing block\n INTEGER, INTENT(IN), OPTIONAL :: lb, lb2\n !! lower bound for destination (and source if not given explicitly)\n !! lower bound of 2nd dimension for target\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_block_real_neg'\n\n INTEGER :: data_size, handle, lb2_t, lb_t, ub_t\n! ---------------------------------------------------------------------------\n IF (careful_mod) CALL timeset(routineN, handle)\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d)) &\n DBCSR_ABORT(\"Data area must be setup.\")\n IF (dst%d%data_type .NE. dbcsr_type_real_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_8_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4_2d) &\n DBCSR_WARN(\"Incorrect data type.\")\n END IF\n\n data_size = row_size*col_size\n lb_t = 1\n IF (PRESENT(lb)) lb_t = lb\n ub_t = lb_t + data_size - 1\n lb2_t = 1\n IF (PRESENT(lb2)) lb2_t = lb2\n SELECT CASE (dst%d%data_type)\n CASE (dbcsr_type_real_8)\n dst%d%r_dp(lb_t:ub_t) = -dst%d%r_dp(lb_t:ub_t)\n CASE (dbcsr_type_real_4)\n dst%d%r_sp(lb_t:ub_t) = -dst%d%r_sp(lb_t:ub_t)\n CASE (dbcsr_type_complex_8)\n dst%d%c_dp(lb_t:ub_t) = CMPLX( &\n -REAL(dst%d%c_dp(lb_t:ub_t), KIND=real_8), &\n AIMAG(dst%d%c_dp(lb_t:ub_t)), &\n KIND=real_8)\n CASE (dbcsr_type_complex_4)\n dst%d%c_sp(lb_t:ub_t) = CMPLX( &\n -REAL(dst%d%c_sp(lb_t:ub_t), KIND=real_4), &\n AIMAG(dst%d%c_sp(lb_t:ub_t)), &\n KIND=real_4)\n CASE (dbcsr_type_real_8_2d)\n dst%d%r2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n -dst%d%r2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)\n CASE (dbcsr_type_real_4_2d)\n dst%d%r2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n -dst%d%r2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)\n CASE (dbcsr_type_complex_8_2d)\n dst%d%c2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n CMPLX( &\n -REAL(dst%d%c2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1), KIND=real_8), &\n AIMAG(dst%d%c2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)), &\n KIND=real_8)\n CASE (dbcsr_type_complex_4_2d)\n dst%d%c2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n CMPLX( &\n -REAL(dst%d%c2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1), KIND=real_4), &\n AIMAG(dst%d%c2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)), &\n KIND=real_4)\n CASE default\n DBCSR_ABORT(\"Incorrect data type.\")\n END SELECT\n IF (careful_mod) CALL timestop(handle)\n END SUBROUTINE dbcsr_block_real_neg\n\n SUBROUTINE dbcsr_block_conjg(dst, &\n row_size, col_size, lb, lb2)\n !! Conjugate a data area.\n !! There are no checks done for correctness!\n !!\n !! History\n !! - 2010-09 [??] Copied from block_transpose?\n !! - 2010-09-20 [UB] Swaps/corrects row/column definitions for 2-D bounds\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n INTEGER, INTENT(IN) :: row_size, col_size\n !! row size of existing block\n !! column size of existing block\n INTEGER, INTENT(IN), OPTIONAL :: lb, lb2\n !! lower bound for destination (and source if not given explicitly)\n !! lower bound of 2nd dimension for target\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_block_conjg'\n\n INTEGER :: data_size, handle, lb2_t, lb_t, ub_t\n! ---------------------------------------------------------------------------\n IF (careful_mod) CALL timeset(routineN, handle)\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d)) &\n DBCSR_ABORT(\"Data area must be setup.\")\n IF (dst%d%data_type .NE. dbcsr_type_real_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8 &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4 &\n .AND. dst%d%data_type .NE. dbcsr_type_real_8_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_real_4_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_8_2d &\n .AND. dst%d%data_type .NE. dbcsr_type_complex_4_2d) &\n DBCSR_WARN(\"Incorrect data type.\")\n END IF\n\n data_size = row_size*col_size\n lb_t = 1\n IF (PRESENT(lb)) lb_t = lb\n ub_t = lb_t + data_size - 1\n lb2_t = 1\n IF (PRESENT(lb2)) lb2_t = lb2\n SELECT CASE (dst%d%data_type)\n CASE (dbcsr_type_real_8)\n dst%d%r_dp(lb_t:ub_t) = dst%d%r_dp(lb_t:ub_t)\n CASE (dbcsr_type_real_4)\n dst%d%r_sp(lb_t:ub_t) = dst%d%r_sp(lb_t:ub_t)\n CASE (dbcsr_type_complex_8)\n dst%d%c_dp(lb_t:ub_t) = CONJG(dst%d%c_dp(lb_t:ub_t))\n CASE (dbcsr_type_complex_4)\n dst%d%c_sp(lb_t:ub_t) = CONJG(dst%d%c_sp(lb_t:ub_t))\n CASE (dbcsr_type_real_8_2d)\n dst%d%r2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n dst%d%r2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)\n CASE (dbcsr_type_real_4_2d)\n dst%d%r2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n dst%d%r2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1)\n CASE (dbcsr_type_complex_8_2d)\n dst%d%c2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n CONJG(dst%d%c2_dp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1))\n CASE (dbcsr_type_complex_4_2d)\n dst%d%c2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1) = &\n CONJG(dst%d%c2_sp(lb_t:lb_t + row_size - 1, lb2_t:lb2_t + col_size - 1))\n CASE default\n DBCSR_ABORT(\"Incorrect data type.\")\n END SELECT\n IF (careful_mod) CALL timestop(handle)\n END SUBROUTINE dbcsr_block_conjg\n\n SUBROUTINE dbcsr_block_transpose_a(area, row_size, col_size)\n !! In-place transpose of encapsulated data\n !! There are no checks done for correctness!\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! encapsulated data area\n INTEGER, INTENT(IN) :: row_size, col_size\n !! number of rows in existing block\n !! number of columns in existing block\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_block_transpose_a'\n\n INTEGER :: handle\n! ---------------------------------------------------------------------------\n IF (careful_mod) &\n CALL timeset(routineN, handle)\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_block_transpose(area%d%r_dp, &\n row_size, col_size)\n CASE (dbcsr_type_real_4)\n CALL dbcsr_block_transpose(area%d%r_sp, &\n row_size, col_size)\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_block_transpose(area%d%c_dp, &\n row_size, col_size)\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_block_transpose(area%d%c_sp, &\n row_size, col_size)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n IF (careful_mod) &\n CALL timestop(handle)\n END SUBROUTINE dbcsr_block_transpose_a\n\n SUBROUTINE dbcsr_data_copy_aa(dst, lb, data_size, src, source_lb, scale, &\n lb2, data_size2, source_lb2)\n !! Copy data from one data area to another.\n !! There are no checks done for correctness!\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n !! destination data area\n INTEGER, INTENT(IN) :: lb, data_size\n !! lower bound for destination (and source if not given explicitly)\n !! number of elements to copy\n TYPE(dbcsr_data_obj), INTENT(IN) :: src\n !! source data area\n INTEGER, INTENT(IN), OPTIONAL :: source_lb\n !! lower bound of source\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale\n !! scale by this factor\n INTEGER, INTENT(IN), OPTIONAL :: lb2, data_size2, source_lb2\n !! 2nd dimension lower bound\n !! 2nd dimension data size\n !! 2nd dimension lower bound for source\n\n INTEGER :: lb2_s, lb_s, ub, ub2, ub2_s, ub_s\n! ---------------------------------------------------------------------------\n\n lb2_s = 0\n ub2_s = 0\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d) .OR. .NOT. ASSOCIATED(src%d)) &\n DBCSR_ABORT(\"Data areas must be setup.\")\n IF (dst%d%data_type .NE. src%d%data_type) &\n DBCSR_ABORT(\"Data type must be the same.\")\n END IF\n IF (PRESENT(scale) .AND. careful_mod) THEN\n IF (dbcsr_type_is_2d(src%d%data_type)) THEN\n IF (scale%data_type .NE. dbcsr_type_2d_to_1d(src%d%data_type)) &\n DBCSR_ABORT(\"Incomptable data types\")\n ELSE\n IF (scale%data_type .NE. src%d%data_type) &\n DBCSR_ABORT(\"Incomptable data types\")\n END IF\n END IF\n ub = lb + data_size - 1\n IF (PRESENT(source_lb)) THEN\n lb_s = source_lb\n ub_s = source_lb + data_size - 1\n ELSE\n lb_s = lb\n ub_s = ub\n END IF\n IF (careful_mod) THEN\n IF (dbcsr_type_is_2d(src%d%data_type) .AND. .NOT. PRESENT(lb2)) &\n DBCSR_ABORT(\"Must specify lb2 for 2-D data area\")\n IF (dbcsr_type_is_2d(src%d%data_type) .AND. .NOT. PRESENT(data_size2)) &\n DBCSR_ABORT(\"Must specify data_size2 for 2-D data area\")\n END IF\n IF (PRESENT(lb2)) THEN\n IF (careful_mod) THEN\n IF (.NOT. dbcsr_type_is_2d(src%d%data_type)) &\n DBCSR_WARN(\"Should not specify lb2 for 1-D data\")\n END IF\n ub2 = lb2 + data_size2 - 1\n IF (PRESENT(source_lb2)) THEN\n lb2_s = source_lb2\n ub2_s = source_lb2 + data_size2 - 1\n ELSE\n lb2_s = lb2\n ub2_s = ub2\n END IF\n END IF\n SELECT CASE (src%d%data_type)\n CASE (dbcsr_type_real_4)\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d%r_sp)) &\n DBCSR_ABORT(\"associated(dst%d%r_sp)\")\n IF (.NOT. ASSOCIATED(src%d%r_sp)) &\n DBCSR_ABORT(\"associated(src%d%r_sp)\")\n IF (lb < LBOUND(dst%d%r_sp, 1)) &\n DBCSR_ABORT(\"lb dst%d%r_sp\")\n IF (ub > UBOUND(dst%d%r_sp, 1)) &\n DBCSR_ABORT(\"ub dst%d%r_sp\")\n IF (lb_s < LBOUND(src%d%r_sp, 1)) &\n DBCSR_ABORT(\"lb src%d%r_sp\")\n IF (ub_s > UBOUND(src%d%r_sp, 1)) &\n DBCSR_ABORT(\"ub src%d%r_sp\")\n END IF\n IF (PRESENT(scale)) THEN\n dst%d%r_sp(lb:ub) = scale%r_sp*src%d%r_sp(lb_s:ub_s)\n ELSE\n dst%d%r_sp(lb:ub) = src%d%r_sp(lb_s:ub_s)\n END IF\n CASE (dbcsr_type_real_8)\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d%r_dp)) &\n DBCSR_ABORT(\"associated(dst%d%r_dp)\")\n IF (.NOT. ASSOCIATED(src%d%r_dp)) &\n DBCSR_ABORT(\"associated(src%d%r_dp)\")\n IF (lb < LBOUND(dst%d%r_dp, 1)) &\n DBCSR_ABORT(\"lb dst%d%r_dp\")\n IF (ub > UBOUND(dst%d%r_dp, 1)) &\n DBCSR_ABORT(\"ub dst%d%r_dp\")\n IF (lb_s < LBOUND(src%d%r_dp, 1)) &\n DBCSR_ABORT(\"lb src%d%r_dp\")\n IF (ub_s > UBOUND(src%d%r_dp, 1)) &\n DBCSR_ABORT(\"ub src%d%r_dp\")\n END IF\n IF (PRESENT(scale)) THEN\n dst%d%r_dp(lb:ub) = scale%r_dp*src%d%r_dp(lb_s:ub_s)\n ELSE\n dst%d%r_dp(lb:ub) = src%d%r_dp(lb_s:ub_s)\n END IF\n CASE (dbcsr_type_complex_4)\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d%c_sp)) &\n DBCSR_ABORT(\"associated(dst%d%c_sp)\")\n IF (.NOT. ASSOCIATED(src%d%c_sp)) &\n DBCSR_ABORT(\"associated(src%d%c_sp)\")\n IF (lb < LBOUND(dst%d%c_sp, 1)) &\n DBCSR_ABORT(\"lb dst%d%c_sp\")\n IF (ub > UBOUND(dst%d%c_sp, 1)) &\n DBCSR_ABORT(\"ub dst%d%c_sp\")\n IF (lb_s < LBOUND(src%d%c_sp, 1)) &\n DBCSR_ABORT(\"lb src%d%c_sp\")\n IF (ub_s > UBOUND(src%d%c_sp, 1)) &\n DBCSR_ABORT(\"ub src%d%c_sp\")\n END IF\n IF (PRESENT(scale)) THEN\n dst%d%c_sp(lb:ub) = scale%c_sp*src%d%c_sp(lb_s:ub_s)\n ELSE\n dst%d%c_sp(lb:ub) = src%d%c_sp(lb_s:ub_s)\n END IF\n CASE (dbcsr_type_complex_8)\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d%c_dp)) &\n DBCSR_ABORT(\"associated(dst%d%c_dp)\")\n IF (.NOT. ASSOCIATED(src%d%c_dp)) &\n DBCSR_ABORT(\"associated(src%d%c_dp)\")\n IF (lb < LBOUND(dst%d%c_dp, 1)) &\n DBCSR_ABORT(\"lb dst%d%c_dp\")\n IF (ub > UBOUND(dst%d%c_dp, 1)) &\n DBCSR_ABORT(\"ub dst%d%c_dp\")\n IF (lb_s < LBOUND(src%d%c_dp, 1)) &\n DBCSR_ABORT(\"lb src%d%c_dp\")\n IF (ub_s > UBOUND(src%d%c_dp, 1)) &\n DBCSR_ABORT(\"ub src%d%c_dp\")\n END IF\n IF (PRESENT(scale)) THEN\n dst%d%c_dp(lb:ub) = scale%c_dp*src%d%c_dp(lb_s:ub_s)\n ELSE\n dst%d%c_dp(lb:ub) = src%d%c_dp(lb_s:ub_s)\n END IF\n CASE (dbcsr_type_real_4_2d)\n IF (PRESENT(scale)) THEN\n dst%d%r2_sp(lb:ub, lb2:ub2) = &\n scale%r_sp*src%d%r2_sp(lb_s:ub_s, lb2_s:ub2_s)\n ELSE\n dst%d%r2_sp(lb:ub, lb2:ub2) = src%d%r2_sp(lb_s:ub_s, lb2_s:ub2_s)\n END IF\n CASE (dbcsr_type_real_8_2d)\n IF (PRESENT(scale)) THEN\n dst%d%r2_dp(lb:ub, lb2:ub2) = &\n scale%r_dp*src%d%r2_dp(lb_s:ub_s, lb2_s:ub2_s)\n ELSE\n dst%d%r2_dp(lb:ub, lb2:ub2) = src%d%r2_dp(lb_s:ub_s, lb2_s:ub2_s)\n END IF\n CASE (dbcsr_type_complex_4_2d)\n IF (PRESENT(scale)) THEN\n dst%d%c2_sp(lb:ub, lb2:ub2) = &\n scale%c_sp*src%d%c2_sp(lb_s:ub_s, lb2_s:ub2_s)\n ELSE\n dst%d%c2_sp(lb:ub, lb2:ub2) = src%d%c2_sp(lb_s:ub_s, lb2_s:ub2_s)\n END IF\n CASE (dbcsr_type_complex_8_2d)\n IF (PRESENT(scale)) THEN\n dst%d%c2_dp(lb:ub, lb2:ub2) = &\n scale%c_dp*src%d%c2_dp(lb_s:ub_s, lb2_s:ub2_s)\n ELSE\n dst%d%c2_dp(lb:ub, lb2:ub2) = src%d%c2_dp(lb_s:ub_s, lb2_s:ub2_s)\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n END SUBROUTINE dbcsr_data_copy_aa\n\n SUBROUTINE dbcsr_data_copy_aa2(dst, dst_lb, dst_sizes, &\n src, src_lb, src_sizes)\n !! Copy data from one data area to another, the most basic form.\n !! There are no checks done for correctness!\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n !! destination data area\n INTEGER, DIMENSION(:), INTENT(IN) :: dst_lb, dst_sizes\n !! lower bounds for destination\n !! sizes for destination\n TYPE(dbcsr_data_obj), INTENT(IN) :: src\n !! source data area\n INTEGER, DIMENSION(:), INTENT(IN) :: src_lb, src_sizes\n !! lower bounds for source\n !! sizes for source\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_copy_aa2'\n\n INTEGER :: dst_d, dst_dt, handle, src_d, src_dt\n INTEGER, DIMENSION(2) :: dst_ub, src_ub\n! ---------------------------------------------------------------------------\n CALL timeset(routineN, handle)\n !\n src_dt = dbcsr_data_get_type(src)\n dst_dt = dbcsr_data_get_type(dst)\n IF (dbcsr_type_is_2d(src_dt)) THEN\n src_d = 2\n ELSE\n src_d = 1\n END IF\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n dst_d = 2\n ELSE\n dst_d = 1\n END IF\n src_ub(1:src_d) = src_lb(1:src_d) + src_sizes(1:src_d) - 1\n dst_ub(1:dst_d) = dst_lb(1:dst_d) + dst_sizes(1:dst_d) - 1\n IF (careful_mod) THEN\n IF (.NOT. dbcsr_data_exists(dst)) &\n DBCSR_ABORT(\"Invalid target data area\")\n IF (.NOT. dbcsr_data_exists(src)) &\n DBCSR_ABORT(\"Invalid source data area\")\n IF (dbcsr_type_2d_to_1d(src_dt) /= dbcsr_type_2d_to_1d(dst_dt)) &\n DBCSR_ABORT(\"Data types must be comptable: \")\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n IF (SIZE(dst_lb) /= 2) &\n DBCSR_ABORT(\"size must be 2 for 2-d dst_lb\")\n IF (SIZE(dst_sizes) /= 2) &\n DBCSR_ABORT(\"size must be 2 for 2-d dst_sizes\")\n ELSE\n IF (SIZE(dst_lb) /= 1) &\n DBCSR_ABORT(\"size must be 1 for 1-d dst_lb\")\n IF (SIZE(dst_sizes) /= 1) &\n DBCSR_ABORT(\"size must be 1 for 1-d dst_sizes\")\n END IF\n IF (dbcsr_type_is_2d(src_dt)) THEN\n IF (SIZE(src_lb) /= 2) &\n DBCSR_ABORT(\"size must be 2 for 2-d src_lb\")\n IF (SIZE(src_sizes) /= 2) &\n DBCSR_ABORT(\"size must be 2 for 2-d src_sizes\")\n ELSE\n IF (SIZE(src_lb) /= 1) &\n DBCSR_ABORT(\"size must be 1 for 1-d src_lb\")\n IF (SIZE(src_sizes) /= 1) &\n DBCSR_ABORT(\"size must be 1 for 1-d src_sizes\")\n END IF\n IF (debug_mod) THEN\n CALL dbcsr_data_verify_bounds(dst, dst_lb(1:dst_d), dst_ub(1:dst_d))\n CALL dbcsr_data_verify_bounds(src, src_lb(1:src_d), src_ub(1:src_d))\n END IF\n END IF\n !\n SELECT CASE (src_dt)\n CASE (dbcsr_type_real_4)\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n CALL dbcsr_block_copy(dst%d%r2_sp(dst_lb(1):dst_ub(1), &\n dst_lb(2):dst_ub(2)), &\n src%d%r_sp(src_lb(1):src_ub(1)), &\n src_sizes(1), 1)\n ELSE\n CALL dbcsr_block_copy(dst%d%r_sp(dst_lb(1):dst_ub(1)), &\n src%d%r_sp(src_lb(1):src_ub(1)), &\n src_sizes(1), 1)\n END IF\n CASE (dbcsr_type_real_8)\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n CALL dbcsr_block_copy(dst%d%r2_dp(dst_lb(1):dst_ub(1), &\n dst_lb(2):dst_ub(2)), &\n src%d%r_dp(src_lb(1):src_ub(1)), &\n src_sizes(1), 1)\n ELSE\n CALL dbcsr_block_copy(dst%d%r_dp(dst_lb(1):dst_ub(1)), &\n src%d%r_dp(src_lb(1):src_ub(1)), &\n src_sizes(1), 1)\n END IF\n CASE (dbcsr_type_complex_4)\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n CALL dbcsr_block_copy(dst%d%c2_sp(dst_lb(1):dst_ub(1), &\n dst_lb(2):dst_ub(2)), &\n src%d%c_sp(src_lb(1):src_ub(1)), &\n src_sizes(1), 1)\n ELSE\n CALL dbcsr_block_copy(dst%d%c_sp(dst_lb(1):dst_ub(1)), &\n src%d%c_sp(src_lb(1):src_ub(1)), &\n src_sizes(1), 1)\n END IF\n CASE (dbcsr_type_complex_8)\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n CALL dbcsr_block_copy(dst%d%c2_dp(dst_lb(1):dst_ub(1), &\n dst_lb(2):dst_ub(2)), &\n src%d%c_dp(src_lb(1):src_ub(1)), &\n src_sizes(1), 1)\n ELSE\n CALL dbcsr_block_copy(dst%d%c_dp(dst_lb(1):dst_ub(1)), &\n src%d%c_dp(src_lb(1):src_ub(1)), &\n src_sizes(1), 1)\n END IF\n CASE (dbcsr_type_real_4_2d)\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n CALL dbcsr_block_copy(dst%d%r2_sp(dst_lb(1):dst_ub(1), &\n dst_lb(2):dst_ub(2)), &\n src%d%r2_sp(src_lb(1):src_ub(1), &\n src_lb(2):src_ub(2)), &\n dst_sizes(1), dst_sizes(2))\n ELSE\n CALL dbcsr_block_copy(dst%d%r_sp(dst_lb(1):dst_ub(1)), &\n src%d%r2_sp(src_lb(1):src_ub(1), &\n src_lb(2):src_ub(2)), &\n dst_sizes(1), dst_sizes(2))\n END IF\n CASE (dbcsr_type_real_8_2d)\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n CALL dbcsr_block_copy(dst%d%r2_dp(dst_lb(1):dst_ub(1), &\n dst_lb(2):dst_ub(2)), &\n src%d%r2_dp(src_lb(1):src_ub(1), &\n src_lb(2):src_ub(2)), &\n dst_sizes(1), dst_sizes(2))\n ELSE\n CALL dbcsr_block_copy(dst%d%r_dp(dst_lb(1):dst_ub(1)), &\n src%d%r2_dp(src_lb(1):src_ub(1), &\n src_lb(2):src_ub(2)), &\n dst_sizes(1), dst_sizes(2))\n END IF\n CASE (dbcsr_type_complex_4_2d)\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n CALL dbcsr_block_copy(dst%d%c2_sp(dst_lb(1):dst_ub(1), &\n dst_lb(2):dst_ub(2)), &\n src%d%c2_sp(src_lb(1):src_ub(1), &\n src_lb(2):src_ub(2)), &\n dst_sizes(1), dst_sizes(2))\n ELSE\n CALL dbcsr_block_copy(dst%d%c_sp(dst_lb(1):dst_ub(1)), &\n src%d%c2_sp(src_lb(1):src_ub(1), &\n src_lb(2):src_ub(2)), &\n dst_sizes(1), dst_sizes(2))\n END IF\n CASE (dbcsr_type_complex_8_2d)\n IF (dbcsr_type_is_2d(dst_dt)) THEN\n CALL dbcsr_block_copy(dst%d%c2_dp(dst_lb(1):dst_ub(1), &\n dst_lb(2):dst_ub(2)), &\n src%d%c2_dp(src_lb(1):src_ub(1), &\n src_lb(2):src_ub(2)), &\n dst_sizes(1), dst_sizes(2))\n ELSE\n CALL dbcsr_block_copy(dst%d%c_dp(dst_lb(1):dst_ub(1)), &\n src%d%c2_dp(src_lb(1):src_ub(1), &\n src_lb(2):src_ub(2)), &\n dst_sizes(1), dst_sizes(2))\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CALL timestop(handle)\n END SUBROUTINE dbcsr_data_copy_aa2\n\n SUBROUTINE dbcsr_data_clear_nt(area, lb, ub, value, lb2, ub2, tr)\n !! Clears a data area, possibly transposed.\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n INTEGER, INTENT(IN), OPTIONAL :: lb, ub\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: value\n INTEGER, INTENT(IN), OPTIONAL :: lb2, ub2\n LOGICAL, INTENT(in) :: tr\n\n! ---------------------------------------------------------------------------\n IF (tr) THEN\n CALL dbcsr_data_clear0(area, lb=lb2, ub=ub2, value=value, lb2=lb, ub2=ub)\n ELSE\n CALL dbcsr_data_clear0(area, lb=lb, ub=ub, value=value, lb2=lb2, ub2=ub2)\n END IF\n END SUBROUTINE dbcsr_data_clear_nt\n\n SUBROUTINE dbcsr_data_clear0(area, lb, ub, value, lb2, ub2)\n !! Clears a data area\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! area with encapsulated data\n INTEGER, INTENT(IN), OPTIONAL :: lb, ub\n !! lower bound for clearing\n !! lower bound for clearing\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: value\n !! value to use for clearing\n INTEGER, INTENT(IN), OPTIONAL :: lb2, ub2\n !! upper bound for clearing\n !! upper bound for clearing\n\n INTEGER :: l, l2, s, u, u2\n! ---------------------------------------------------------------------------\n IF (.NOT. ASSOCIATED(area%d)) &\n DBCSR_ABORT(\"Data area must be setup.\")\n IF (PRESENT(value)) THEN\n IF (area%d%data_type .NE. value%data_type) &\n DBCSR_ABORT(\"Incompatible data types\")\n END IF\n\n l = 0\n u = 0\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_real_4)\n l = LBOUND(area%d%r_sp, 1)\n u = UBOUND(area%d%r_sp, 1)\n IF (PRESENT(lb)) THEN\n IF (lb < l) DBCSR_ABORT(\"lower bound too low\")\n l = lb\n END IF\n IF (PRESENT(ub)) THEN\n IF (ub > u) DBCSR_ABORT(\"upper bound too high\")\n u = ub\n END IF\n IF (PRESENT(value)) THEN\n area%d%r_sp(l:u) = value%r_sp\n ELSE\n area%d%r_sp(l:u) = 0.0_real_4\n END IF\n CASE (dbcsr_type_real_8)\n l = LBOUND(area%d%r_dp, 1)\n u = UBOUND(area%d%r_dp, 1)\n IF (PRESENT(lb)) THEN\n IF (lb < l) DBCSR_ABORT(\"lower bound too low\")\n l = lb\n END IF\n IF (PRESENT(ub)) THEN\n IF (ub > u) DBCSR_ABORT(\"upper bound too high\")\n u = ub\n END IF\n IF (PRESENT(value)) THEN\n area%d%r_dp(l:u) = value%r_dp\n ELSE\n area%d%r_dp(l:u) = 0.0_real_8\n END IF\n CASE (dbcsr_type_complex_4)\n l = LBOUND(area%d%c_sp, 1)\n u = UBOUND(area%d%c_sp, 1)\n IF (PRESENT(lb)) THEN\n IF (lb < l) DBCSR_ABORT(\"lower bound too low\")\n l = lb\n END IF\n IF (PRESENT(ub)) THEN\n IF (ub > u) DBCSR_ABORT(\"upper bound too high\")\n u = ub\n END IF\n IF (PRESENT(value)) THEN\n area%d%c_sp(l:u) = value%c_sp\n ELSE\n area%d%c_sp(l:u) = CMPLX(0.0, 0.0, real_4)\n END IF\n CASE (dbcsr_type_complex_8)\n l = LBOUND(area%d%c_dp, 1)\n u = UBOUND(area%d%c_dp, 1)\n IF (PRESENT(lb)) THEN\n IF (lb < l) DBCSR_ABORT(\"lower bound too low\")\n l = lb\n END IF\n IF (PRESENT(ub)) THEN\n IF (ub > u) DBCSR_ABORT(\"upper bound too high\")\n u = ub\n END IF\n IF (PRESENT(value)) THEN\n area%d%c_dp(l:u) = value%c_dp\n ELSE\n area%d%c_dp(l:u) = CMPLX(0.0, 0.0, real_8)\n END IF\n CASE (dbcsr_type_real_4_2d)\n l = LBOUND(area%d%r2_sp, 1)\n u = UBOUND(area%d%r2_sp, 1)\n l2 = LBOUND(area%d%r2_sp, 2)\n u2 = UBOUND(area%d%r2_sp, 2)\n IF (PRESENT(lb)) THEN\n IF (lb < l) DBCSR_ABORT(\"lower bound too low\")\n l = lb\n END IF\n IF (PRESENT(ub)) THEN\n IF (ub > u) DBCSR_ABORT(\"upper bound too high\")\n u = ub\n END IF\n IF (PRESENT(lb2)) THEN\n IF (lb2 < l2) DBCSR_ABORT(\"lower2 bound too low\")\n l2 = lb2\n END IF\n IF (PRESENT(ub2)) THEN\n IF (ub2 > u2) DBCSR_ABORT(\"upper2 bound too high\")\n u2 = ub2\n END IF\n IF (PRESENT(value)) THEN\n area%d%r2_sp(l:u, l2:u2) = value%r_sp\n ELSE\n area%d%r2_sp(l:u, l2:u2) = 0.0_real_4\n END IF\n CASE (dbcsr_type_real_8_2d)\n l = LBOUND(area%d%r2_dp, 1)\n u = UBOUND(area%d%r2_dp, 1)\n l2 = LBOUND(area%d%r2_dp, 2)\n u2 = UBOUND(area%d%r2_dp, 2)\n IF (PRESENT(lb)) THEN\n IF (lb < l) DBCSR_ABORT(\"lower bound too low\")\n l = lb\n END IF\n IF (PRESENT(ub)) THEN\n IF (ub > u) DBCSR_ABORT(\"upper bound too high\")\n u = ub\n END IF\n IF (PRESENT(lb2)) THEN\n IF (lb2 < l2) DBCSR_ABORT(\"lower2 bound too low\")\n l2 = lb2\n END IF\n IF (PRESENT(ub2)) THEN\n IF (ub2 > u2) DBCSR_ABORT(\"upper2 bound too high\")\n u2 = ub2\n END IF\n IF (PRESENT(value)) THEN\n area%d%r2_dp(l:u, l2:u2) = value%r_dp\n ELSE\n area%d%r2_dp(l:u, l2:u2) = 0.0_real_8\n END IF\n CASE (dbcsr_type_complex_4_2d)\n l = LBOUND(area%d%c2_sp, 1)\n u = UBOUND(area%d%c2_sp, 1)\n l2 = LBOUND(area%d%c2_sp, 2)\n u2 = UBOUND(area%d%c2_sp, 2)\n IF (PRESENT(lb)) THEN\n IF (lb < l) DBCSR_ABORT(\"lower bound too low\")\n l = lb\n END IF\n IF (PRESENT(ub)) THEN\n IF (ub > u) DBCSR_ABORT(\"upper bound too high\")\n u = ub\n END IF\n IF (PRESENT(lb2)) THEN\n IF (lb2 < l2) DBCSR_ABORT(\"lower2 bound too low\")\n l2 = lb2\n END IF\n IF (PRESENT(ub2)) THEN\n IF (ub2 > u2) DBCSR_ABORT(\"upper2 bound too high\")\n u2 = ub2\n END IF\n IF (PRESENT(value)) THEN\n area%d%c2_sp(l:u, l2:u2) = value%c_sp\n ELSE\n area%d%c2_sp(l:u, l2:u2) = CMPLX(0.0, 0.0, real_4)\n END IF\n CASE (dbcsr_type_complex_8_2d)\n l = LBOUND(area%d%c2_dp, 1)\n u = UBOUND(area%d%c2_dp, 1)\n l2 = LBOUND(area%d%c2_dp, 2)\n u2 = UBOUND(area%d%c2_dp, 2)\n IF (PRESENT(lb)) THEN\n IF (lb < l) DBCSR_ABORT(\"lower bound too low\")\n l = lb\n END IF\n IF (PRESENT(ub)) THEN\n IF (ub > u) DBCSR_ABORT(\"upper bound too high\")\n u = ub\n END IF\n IF (PRESENT(lb2)) THEN\n IF (lb2 < l2) DBCSR_ABORT(\"lower2 bound too low\")\n l2 = lb2\n END IF\n IF (PRESENT(ub2)) THEN\n IF (ub2 > u2) DBCSR_ABORT(\"upper2 bound too high\")\n u2 = ub2\n END IF\n IF (PRESENT(value)) THEN\n area%d%c2_dp(l:u, l2:u2) = value%c_dp\n ELSE\n area%d%c2_dp(l:u, l2:u2) = CMPLX(0.0, 0.0, real_8)\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid or unsupported data type.\")\n END SELECT\n\n IF (acc_devmem_allocated(area%d%acc_devmem)) THEN\n IF (PRESENT(value)) &\n DBCSR_ABORT(\"dbcsr_data_clear0 with value not implemented for acc_devmem\")\n s = dbcsr_datatype_sizeof(area%d%data_type)\n CALL acc_devmem_setzero_bytes(area%d%acc_devmem, s*l, s*u, area%d%memory_type%acc_stream)\n END IF\n\n ! CALL timestop(handle)\n\n END SUBROUTINE dbcsr_data_clear0\n\n SUBROUTINE dbcsr_block_partial_copy(dst, dst_rs, dst_cs, dst_tr, &\n src, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset, src_offset)\n !! Copies a block subset\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n !! target data area\n INTEGER, INTENT(IN) :: dst_rs, dst_cs\n !! target block row size (logical)\n !! target block column size (logical)\n LOGICAL :: dst_tr\n !! whether target block is transposed\n TYPE(dbcsr_data_obj), INTENT(IN) :: src\n !! source data area\n INTEGER, INTENT(IN) :: src_rs, src_cs\n !! source block row size (logical)\n !! source block column size (logical)\n LOGICAL :: src_tr\n !! whether source block is transposed\n INTEGER, INTENT(IN) :: dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, &\n nrow, ncol\n !! first row in target\n !! first column in target\n !! first_row in source\n !! first column in target\n !! number of rows to copy\n !! number of columns to copy\n INTEGER, INTENT(IN), OPTIONAL :: dst_offset, src_offset\n !! offset in target\n !! offset in source\n\n LOGICAL, PARAMETER :: verification = careful_mod\n\n INTEGER :: dst_o, src_o\n LOGICAL :: src_is_2d\n! ---------------------------------------------------------------------------\n IF (careful_mod) THEN\n IF (dbcsr_type_2d_to_1d(dbcsr_data_get_type(dst)) /= dbcsr_type_2d_to_1d(dbcsr_data_get_type(src))) &\n DBCSR_ABORT(\"Incompatible data types.\")\n END IF\n dst_o = 0; src_o = 0\n IF (PRESENT(dst_offset)) dst_o = dst_offset\n IF (PRESENT(src_offset)) src_o = src_offset\n IF (verification) THEN\n IF (dst_r_lb + nrow - 1 > dst_rs) &\n DBCSR_ABORT(\"Incompatible dst row sizes\")\n IF (dst_c_lb + ncol - 1 > dst_cs) &\n DBCSR_ABORT(\"Incompatible dst col sizes\")\n IF (src_r_lb + nrow - 1 > src_rs) &\n DBCSR_ABORT(\"Incompatible src row sizes\")\n IF (src_c_lb + ncol - 1 > src_cs) &\n DBCSR_ABORT(\"Incompatible src col sizes\")\n END IF\n !\n src_is_2d = dbcsr_type_is_2d(dbcsr_data_get_type(src))\n SELECT CASE (dbcsr_data_get_type(dst))\n CASE (dbcsr_type_real_4)\n IF (src_is_2d) THEN\n CALL block_partial_copy_1d2d_s(dst%d%r_sp, dst_rs, dst_cs, dst_tr, &\n src%d%r2_sp, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset=dst_o)\n ELSE\n CALL block_partial_copy_s(dst%d%r_sp, dst_rs, dst_cs, dst_tr, &\n src%d%r_sp, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset=dst_o, src_offset=src_o)\n END IF\n CASE (dbcsr_type_real_8)\n IF (src_is_2d) THEN\n CALL block_partial_copy_1d2d_d(dst%d%r_dp, dst_rs, dst_cs, dst_tr, &\n src%d%r2_dp, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset=dst_o)\n ELSE\n CALL block_partial_copy_d(dst%d%r_dp, dst_rs, dst_cs, dst_tr, &\n src%d%r_dp, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset=dst_o, src_offset=src_o)\n END IF\n CASE (dbcsr_type_complex_4)\n IF (src_is_2d) THEN\n CALL block_partial_copy_1d2d_c(dst%d%c_sp, dst_rs, dst_cs, dst_tr, &\n src%d%c2_sp, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset=dst_o)\n ELSE\n CALL block_partial_copy_c(dst%d%c_sp, dst_rs, dst_cs, dst_tr, &\n src%d%c_sp, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset=dst_o, src_offset=src_o)\n END IF\n CASE (dbcsr_type_complex_8)\n IF (src_is_2d) THEN\n CALL block_partial_copy_1d2d_z(dst%d%c_dp, dst_rs, dst_cs, dst_tr, &\n src%d%c2_dp, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset=dst_o)\n ELSE\n CALL block_partial_copy_z(dst%d%c_dp, dst_rs, dst_cs, dst_tr, &\n src%d%c_dp, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset=dst_o, src_offset=src_o)\n END IF\n CASE (dbcsr_type_real_4_2d)\n IF (src_is_2d) THEN\n CALL block_partial_copy_2d2d_s(dst%d%r2_sp, dst_tr, &\n src%d%r2_sp, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol)\n ELSE\n CALL block_partial_copy_2d1d_s(dst%d%r2_sp, dst_tr, &\n src%d%r_sp, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n src_offset=src_o)\n END IF\n CASE (dbcsr_type_real_8_2d)\n IF (src_is_2d) THEN\n CALL block_partial_copy_2d2d_d(dst%d%r2_dp, dst_tr, &\n src%d%r2_dp, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol)\n ELSE\n CALL block_partial_copy_2d1d_d(dst%d%r2_dp, dst_tr, &\n src%d%r_dp, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n src_offset=src_o)\n END IF\n CASE (dbcsr_type_complex_4_2d)\n IF (src_is_2d) THEN\n CALL block_partial_copy_2d2d_c(dst%d%c2_sp, dst_tr, &\n src%d%c2_sp, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol)\n ELSE\n CALL block_partial_copy_2d1d_c(dst%d%c2_sp, dst_tr, &\n src%d%c_sp, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n src_offset=src_o)\n END IF\n CASE (dbcsr_type_complex_8_2d)\n IF (src_is_2d) THEN\n CALL block_partial_copy_2d2d_z(dst%d%c2_dp, dst_tr, &\n src%d%c2_dp, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol)\n ELSE\n CALL block_partial_copy_2d1d_z(dst%d%c2_dp, dst_tr, &\n src%d%c_dp, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n src_offset=src_o)\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n END SUBROUTINE dbcsr_block_partial_copy\n\n SUBROUTINE block_add_anytype(block_a, block_b, len)\n !! Adds two blocks\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: block_a\n !! Block to add to\n TYPE(dbcsr_data_obj), INTENT(IN) :: block_b\n !! Block to add to block_a\n INTEGER, INTENT(IN), OPTIONAL :: len\n\n INTEGER :: n\n! ---------------------------------------------------------------------------\n IF (careful_mod) THEN\n IF (dbcsr_data_get_type(block_a) /= dbcsr_data_get_type(block_a)) &\n DBCSR_ABORT(\"Mismatched data types.\")\n END IF\n IF (PRESENT(len)) THEN\n n = len\n IF (dbcsr_data_get_size(block_b) < n) &\n DBCSR_ABORT(\"Block B too small.\")\n ELSE\n n = dbcsr_data_get_size_referenced(block_b)\n END IF\n IF (dbcsr_data_get_size(block_a) < n) &\n DBCSR_ABORT(\"Block A too small.\")\n SELECT CASE (dbcsr_data_get_type(block_a))\n CASE (dbcsr_type_real_4)\n CALL block_add_s(block_a%d%r_sp, block_b%d%r_sp, n)\n CASE (dbcsr_type_real_8)\n CALL block_add_d(block_a%d%r_dp, block_b%d%r_dp, n)\n CASE (dbcsr_type_complex_4)\n CALL block_add_c(block_a%d%c_sp, block_b%d%c_sp, n)\n CASE (dbcsr_type_complex_8)\n CALL block_add_z(block_a%d%c_dp, block_b%d%c_dp, n)\n CASE (dbcsr_type_real_4_2d)\n CALL block_add_s(block_a%d%r2_sp, block_b%d%r2_sp, n)\n CASE (dbcsr_type_real_8_2d)\n CALL block_add_d(block_a%d%r2_dp, block_b%d%r2_dp, n)\n CASE (dbcsr_type_complex_4_2d)\n CALL block_add_c(block_a%d%c2_sp, block_b%d%c2_sp, n)\n CASE (dbcsr_type_complex_8_2d)\n CALL block_add_z(block_a%d%c2_dp, block_b%d%c2_dp, n)\n CASE default\n DBCSR_ABORT(\"Invalid data type!\")\n END SELECT\n END SUBROUTINE block_add_anytype\n\n SUBROUTINE block_add_anytype_bounds(block_a, block_b, lb_a, lb_b, len)\n !! Adds two blocks\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: block_a\n !! Block to add to\n TYPE(dbcsr_data_obj), INTENT(IN) :: block_b\n !! Block to add to block_a\n INTEGER, INTENT(IN) :: lb_a, lb_b, len\n\n! ---------------------------------------------------------------------------\n IF (careful_mod) THEN\n IF (dbcsr_data_get_type(block_a) /= dbcsr_data_get_type(block_a)) &\n DBCSR_ABORT(\"Mismatched data types.\")\n END IF\n IF (dbcsr_data_get_size(block_b) < lb_b + len - 1) &\n DBCSR_ABORT(\"Block B too small.\")\n IF (dbcsr_data_get_size(block_a) < lb_a + len - 1) &\n DBCSR_ABORT(\"Block A too small.\")\n SELECT CASE (dbcsr_data_get_type(block_a))\n CASE (dbcsr_type_real_4)\n CALL block_add_s(block_a%d%r_sp(lb_a:), block_b%d%r_sp(lb_b:), len)\n CASE (dbcsr_type_real_8)\n CALL block_add_d(block_a%d%r_dp(lb_a:), block_b%d%r_dp(lb_b:), len)\n CASE (dbcsr_type_complex_4)\n CALL block_add_c(block_a%d%c_sp(lb_a:), block_b%d%c_sp(lb_b:), len)\n CASE (dbcsr_type_complex_8)\n CALL block_add_z(block_a%d%c_dp(lb_a:), block_b%d%c_dp(lb_b:), len)\n CASE default\n DBCSR_ABORT(\"Invalid data type!\")\n END SELECT\n END SUBROUTINE block_add_anytype_bounds\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n PURE_BLOCKOPS SUBROUTINE block_partial_copy_${nametype1}$ (dst, dst_rs, dst_cs, dst_tr, &\n src, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset, src_offset)\n !! Copies a block subset\n !! @note\n !! see block_partial_copy_a\n !! @endnote\n\n#if defined(__LIBXSMM_BLOCKOPS)\n USE libxsmm, ONLY: libxsmm_matcopy, libxsmm_otrans, libxsmm_ptr0\n#endif\n ${type1}$, DIMENSION(:), &\n INTENT(INOUT) :: dst\n INTEGER, INTENT(IN) :: dst_rs, dst_cs\n INTEGER, INTENT(IN) :: src_offset, dst_offset\n LOGICAL, INTENT(IN) :: dst_tr\n ${type1}$, DIMENSION(:), &\n INTENT(IN) :: src\n INTEGER, INTENT(IN) :: src_rs, src_cs\n LOGICAL, INTENT(IN) :: src_tr\n INTEGER, INTENT(IN) :: dst_r_lb, dst_c_lb, src_r_lb, &\n src_c_lb, nrow, ncol\n\n INTEGER :: col, row\n! ---------------------------------------------------------------------------\n! Factors out the 4 combinations to remove branches from the inner loop.\n! rs is the logical row size so it always remains the leading dimension.\n IF (.NOT. dst_tr .AND. .NOT. src_tr) THEN\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_matcopy(libxsmm_ptr0(dst(dst_offset + dst_r_lb + (dst_c_lb - 1)*dst_rs)), &\n libxsmm_ptr0(src(src_offset + src_r_lb + (src_c_lb - 1)*src_rs)), &\n ${typesize1[n]}$, nrow, ncol, src_rs, dst_rs)\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_offset + dst_r_lb + row + (dst_c_lb + col - 1)*dst_rs) &\n = src(src_offset + src_r_lb + row + (src_c_lb + col - 1)*src_rs)\n END DO\n END DO\n#endif\n ELSEIF (dst_tr .AND. .NOT. src_tr) THEN\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_offset + dst_c_lb + col + (dst_r_lb + row - 1)*dst_cs) &\n = src(src_offset + src_r_lb + row + (src_c_lb + col - 1)*src_rs)\n END DO\n END DO\n ELSEIF (.NOT. dst_tr .AND. src_tr) THEN\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_offset + dst_r_lb + row + (dst_c_lb + col - 1)*dst_rs) &\n = src(src_offset + src_c_lb + col + (src_r_lb + row - 1)*src_cs)\n END DO\n END DO\n ELSE\n DBCSR_ASSERT(dst_tr .AND. src_tr)\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_matcopy(libxsmm_ptr0(dst(dst_offset + dst_c_lb + (dst_r_lb - 1)*dst_cs)), &\n libxsmm_ptr0(src(src_offset + src_c_lb + (src_r_lb - 1)*src_cs)), &\n ${typesize1[n]}$, nrow, ncol, src_cs, dst_cs)\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_offset + dst_c_lb + col + (dst_r_lb + row - 1)*dst_cs) &\n = src(src_offset + src_c_lb + col + (src_r_lb + row - 1)*src_cs)\n END DO\n END DO\n#endif\n END IF\n END SUBROUTINE block_partial_copy_${nametype1}$\n\n PURE_BLOCKOPS SUBROUTINE block_partial_copy_1d2d_${nametype1}$ (dst, dst_rs, dst_cs, dst_tr, &\n src, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n dst_offset)\n !! Copies a block subset\n !! @note\n !! see block_partial_copy_a\n !! @endnote\n\n#if defined(__LIBXSMM_BLOCKOPS)\n USE libxsmm, ONLY: libxsmm_matcopy, libxsmm_otrans, libxsmm_ptr0\n#else\n INTEGER :: col, row\n#endif\n ${type1}$, DIMENSION(:), &\n INTENT(INOUT) :: dst\n INTEGER, INTENT(IN) :: dst_rs, dst_cs\n INTEGER, INTENT(IN) :: dst_offset\n LOGICAL, INTENT(IN) :: dst_tr\n ${type1}$, DIMENSION(:, :), &\n INTENT(IN) :: src\n LOGICAL, INTENT(IN) :: src_tr\n INTEGER, INTENT(IN) :: dst_r_lb, dst_c_lb, src_r_lb, &\n src_c_lb, nrow, ncol\n\n! ---------------------------------------------------------------------------\n! Factors out the 4 combinations to remove branches from the inner loop.\n! rs is the logical row size so it always remains the leading dimension.\n IF (.NOT. dst_tr .AND. .NOT. src_tr) THEN\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_matcopy(libxsmm_ptr0(dst(dst_offset + dst_r_lb + (dst_c_lb - 1)*dst_rs)), &\n libxsmm_ptr0(src(src_r_lb, src_c_lb)), &\n ${typesize1[n]}$, nrow, ncol, SIZE(src, 1), dst_rs)\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_offset + dst_r_lb + row + (dst_c_lb + col - 1)*dst_rs) &\n = src(src_r_lb + row, src_c_lb + col)\n END DO\n END DO\n#endif\n ELSEIF (dst_tr .AND. .NOT. src_tr) THEN\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_otrans(libxsmm_ptr0(dst(dst_offset + dst_c_lb + (dst_r_lb - 1)*dst_cs)), &\n libxsmm_ptr0(src(src_r_lb, src_c_lb)), &\n ${typesize1[n]}$, nrow, ncol, SIZE(src, 1), dst_cs)\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_offset + dst_c_lb + col + (dst_r_lb + row - 1)*dst_cs) &\n = src(src_r_lb + row, src_c_lb + col)\n END DO\n END DO\n#endif\n ELSEIF (.NOT. dst_tr .AND. src_tr) THEN\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_otrans(libxsmm_ptr0(dst(dst_offset + dst_r_lb + (dst_c_lb - 1)*dst_rs)), &\n libxsmm_ptr0(src(src_c_lb, src_r_lb)), &\n ${typesize1[n]}$, nrow, ncol, SIZE(src, 2), dst_rs)\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_offset + dst_r_lb + row + (dst_c_lb + col - 1)*dst_rs) &\n = src(src_c_lb + col, src_r_lb + row)\n END DO\n END DO\n#endif\n ELSE\n DBCSR_ASSERT(dst_tr .AND. src_tr)\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_matcopy(libxsmm_ptr0(dst(dst_offset + dst_c_lb + (dst_r_lb - 1)*dst_cs)), &\n libxsmm_ptr0(src(src_c_lb, src_r_lb)), &\n ${typesize1[n]}$, nrow, ncol, SIZE(src, 2), dst_cs)\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_offset + dst_c_lb + col + (dst_r_lb + row - 1)*dst_cs) &\n = src(src_c_lb + col, src_r_lb + row)\n END DO\n END DO\n#endif\n END IF\n END SUBROUTINE block_partial_copy_1d2d_${nametype1}$\n\n PURE_BLOCKOPS SUBROUTINE block_partial_copy_2d1d_${nametype1}$ (dst, dst_tr, &\n src, src_rs, src_cs, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol, &\n src_offset)\n !! Copies a block subset\n !! @note\n !! see block_partial_copy_a\n !! @endnote\n\n#if defined(__LIBXSMM_BLOCKOPS)\n USE libxsmm, ONLY: libxsmm_matcopy, libxsmm_otrans, libxsmm_ptr0\n#endif\n ${type1}$, DIMENSION(:, :), &\n INTENT(INOUT) :: dst\n INTEGER, INTENT(IN) :: src_offset\n LOGICAL, INTENT(IN) :: dst_tr\n ${type1}$, DIMENSION(:), &\n INTENT(IN) :: src\n INTEGER, INTENT(IN) :: src_rs, src_cs\n LOGICAL, INTENT(IN) :: src_tr\n INTEGER, INTENT(IN) :: dst_r_lb, dst_c_lb, src_r_lb, &\n src_c_lb, nrow, ncol\n\n INTEGER :: col, row\n! ---------------------------------------------------------------------------\n! Factors out the 4 combinations to remove branches from the inner loop.\n! rs is the logical row size so it always remains the leading dimension.\n IF (.NOT. dst_tr .AND. .NOT. src_tr) THEN\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_r_lb + row, dst_c_lb + col) &\n = src(src_offset + src_r_lb + row + (src_c_lb + col - 1)*src_rs)\n END DO\n END DO\n ELSEIF (dst_tr .AND. .NOT. src_tr) THEN\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_c_lb + col, dst_r_lb + row) &\n = src(src_offset + src_r_lb + row + (src_c_lb + col - 1)*src_rs)\n END DO\n END DO\n ELSEIF (.NOT. dst_tr .AND. src_tr) THEN\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_r_lb + row, dst_c_lb + col) &\n = src(src_offset + src_c_lb + col + (src_r_lb + row - 1)*src_cs)\n END DO\n END DO\n ELSE\n DBCSR_ASSERT(dst_tr .AND. src_tr)\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_c_lb + col, dst_r_lb + row) &\n = src(src_offset + src_c_lb + col + (src_r_lb + row - 1)*src_cs)\n END DO\n END DO\n END IF\n END SUBROUTINE block_partial_copy_2d1d_${nametype1}$\n\n PURE_BLOCKOPS SUBROUTINE block_partial_copy_2d2d_${nametype1}$ (dst, dst_tr, &\n src, src_tr, &\n dst_r_lb, dst_c_lb, src_r_lb, src_c_lb, nrow, ncol)\n !! Copies a block subset\n !! @note\n !! see block_partial_copy_a\n !! @endnote\n\n#if defined(__LIBXSMM_BLOCKOPS)\n USE libxsmm, ONLY: libxsmm_matcopy, libxsmm_otrans, libxsmm_ptr0\n#else\n INTEGER :: col, row\n#endif\n ${type1}$, DIMENSION(:, :), &\n INTENT(INOUT) :: dst\n LOGICAL, INTENT(IN) :: dst_tr\n ${type1}$, DIMENSION(:, :), &\n INTENT(IN) :: src\n LOGICAL, INTENT(IN) :: src_tr\n INTEGER, INTENT(IN) :: dst_r_lb, dst_c_lb, src_r_lb, &\n src_c_lb, nrow, ncol\n\n! ---------------------------------------------------------------------------\n! Factors out the 4 combinations to remove branches from the inner loop.\n! rs is the logical row size so it always remains the leading dimension.\n IF (.NOT. dst_tr .AND. .NOT. src_tr) THEN\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_matcopy(libxsmm_ptr0(dst(dst_r_lb, dst_c_lb)), &\n libxsmm_ptr0(src(src_r_lb, src_c_lb)), &\n ${typesize1[n]}$, nrow, ncol, &\n SIZE(src, 1), SIZE(dst, 1))\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_r_lb + row, dst_c_lb + col) &\n = src(src_r_lb + row, src_c_lb + col)\n END DO\n END DO\n#endif\n ELSEIF (dst_tr .AND. .NOT. src_tr) THEN\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_otrans(libxsmm_ptr0(dst(dst_c_lb, dst_r_lb)), &\n libxsmm_ptr0(src(src_r_lb, src_c_lb)), &\n ${typesize1[n]}$, nrow, ncol, &\n SIZE(src, 1), SIZE(dst, 2))\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_c_lb + col, dst_r_lb + row) &\n = src(src_r_lb + row, src_c_lb + col)\n END DO\n END DO\n#endif\n ELSEIF (.NOT. dst_tr .AND. src_tr) THEN\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_otrans(libxsmm_ptr0(dst(dst_r_lb, dst_c_lb)), &\n libxsmm_ptr0(src(src_c_lb, src_r_lb)), &\n ${typesize1[n]}$, nrow, ncol, &\n SIZE(src, 2), SIZE(dst, 1))\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_r_lb + row, dst_c_lb + col) &\n = src(src_c_lb + col, src_r_lb + row)\n END DO\n END DO\n#endif\n ELSE\n DBCSR_ASSERT(dst_tr .AND. src_tr)\n#if defined(__LIBXSMM_BLOCKOPS)\n IF ((0 .LT. ncol) .AND. (0 .LT. nrow)) THEN\n CALL libxsmm_matcopy(libxsmm_ptr0(dst(dst_c_lb, dst_r_lb)), &\n libxsmm_ptr0(src(src_c_lb, src_r_lb)), &\n ${typesize1[n]}$, nrow, ncol, &\n SIZE(src, 2), SIZE(dst, 2))\n END IF\n#else\n DO col = 0, ncol - 1\n DO row = 0, nrow - 1\n dst(dst_c_lb + col, dst_r_lb + row) &\n = src(src_c_lb + col, src_r_lb + row)\n END DO\n END DO\n#endif\n END IF\n END SUBROUTINE block_partial_copy_2d2d_${nametype1}$\n\n PURE SUBROUTINE block_copy_${nametype1}$ (extent_out, extent_in, n, out_fe, in_fe)\n !! Copy a block\n\n INTEGER, INTENT(IN) :: n, out_fe, in_fe\n !! number of elements to copy\n !! first element of output\n !! first element of input\n ${type1}$, DIMENSION(*), INTENT(OUT) :: extent_out\n !! output data\n ${type1}$, DIMENSION(*), INTENT(IN) :: extent_in\n !! input data\n\n! ---------------------------------------------------------------------------\n extent_out(out_fe:out_fe + n - 1) = extent_in(in_fe:in_fe + n - 1)\n END SUBROUTINE block_copy_${nametype1}$\n\n PURE_BLOCKOPS SUBROUTINE block_transpose_copy_${nametype1}$ (extent_out, extent_in, &\n rows, columns)\n !! Copy and transpose block.\n\n#if defined(__LIBXSMM_TRANS)\n USE libxsmm, ONLY: libxsmm_otrans, libxsmm_ptr1\n#endif\n ${type1}$, DIMENSION(:), INTENT(OUT), TARGET :: extent_out\n !! output matrix in the form of a 1-d array\n ${type1}$, DIMENSION(:), INTENT(IN) :: extent_in\n !! input matrix in the form of a 1-d array\n INTEGER, INTENT(IN) :: rows, columns\n !! input matrix size\n !! input matrix size\n\n! ---------------------------------------------------------------------------\n#if defined(__LIBXSMM_TRANS)\n CALL libxsmm_otrans(libxsmm_ptr1(extent_out), libxsmm_ptr1(extent_in), &\n ${typesize1[n]}$, rows, columns, rows, columns)\n#elif defined(__MKL)\n CALL mkl_${nametype1}$omatcopy('C', 'T', rows, columns, ${one1[n]}$, extent_in, rows, extent_out, columns)\n#else\n extent_out(1:rows*columns) = RESHAPE(TRANSPOSE( &\n RESHAPE(extent_in(1:rows*columns), (/rows, columns/))), (/rows*columns/))\n#endif\n END SUBROUTINE block_transpose_copy_${nametype1}$\n\n PURE SUBROUTINE block_copy_2d1d_${nametype1}$ (extent_out, extent_in, &\n rows, columns)\n !! Copy a block\n\n INTEGER, INTENT(IN) :: rows, columns\n !! input matrix size\n !! input matrix size\n ${type1}$, DIMENSION(rows, columns), INTENT(OUT) :: extent_out\n !! output matrix in the form of a 2-d array\n ${type1}$, DIMENSION(:), INTENT(IN) :: extent_in\n !! input matrix in the form of a 1-d array\n\n! ---------------------------------------------------------------------------\n extent_out = RESHAPE(extent_in, (/rows, columns/))\n END SUBROUTINE block_copy_2d1d_${nametype1}$\n\n PURE SUBROUTINE block_copy_1d1d_${nametype1}$ (extent_out, extent_in, &\n rows, columns)\n !! Copy a block\n\n INTEGER, INTENT(IN) :: rows, columns\n !! input matrix size\n !! input matrix size\n ${type1}$, DIMENSION(rows*columns), INTENT(OUT) :: extent_out\n !! output matrix in the form of a 1-d array\n ${type1}$, DIMENSION(rows*columns), INTENT(IN) :: extent_in\n !! input matrix in the form of a 1-d array\n\n! ---------------------------------------------------------------------------\n extent_out(:) = extent_in(:)\n END SUBROUTINE block_copy_1d1d_${nametype1}$\n\n PURE SUBROUTINE block_copy_2d2d_${nametype1}$ (extent_out, extent_in, &\n rows, columns)\n !! Copy a block\n\n INTEGER, INTENT(IN) :: rows, columns\n !! input matrix size\n !! input matrix size\n ${type1}$, DIMENSION(rows, columns), INTENT(OUT) :: extent_out\n !! output matrix in the form of a 2-d array\n ${type1}$, DIMENSION(rows, columns), INTENT(IN) :: extent_in\n !! input matrix in the form of a 2-d array\n\n! ---------------------------------------------------------------------------\n extent_out(:, :) = extent_in(:, :)\n END SUBROUTINE block_copy_2d2d_${nametype1}$\n\n PURE_BLOCKOPS SUBROUTINE block_transpose_copy_2d1d_${nametype1}$ (extent_out, extent_in, &\n rows, columns)\n !! Copy and transpose block.\n\n#if defined(__LIBXSMM_TRANS)\n USE libxsmm, ONLY: libxsmm_otrans, libxsmm_ptr1, libxsmm_ptr2\n#endif\n INTEGER, INTENT(IN) :: rows, columns\n !! input matrix size\n !! input matrix size\n ${type1}$, DIMENSION(columns, rows), INTENT(OUT), TARGET :: extent_out\n !! output matrix in the form of a 2-d array\n ${type1}$, DIMENSION(:), INTENT(IN) :: extent_in\n !! input matrix in the form of a 1-d array\n\n! ---------------------------------------------------------------------------\n#if defined(__LIBXSMM_TRANS)\n CALL libxsmm_otrans(libxsmm_ptr2(extent_out), libxsmm_ptr1(extent_in), &\n ${typesize1[n]}$, rows, columns, rows, columns)\n#elif defined(__MKL)\n CALL mkl_${nametype1}$omatcopy('C', 'T', rows, columns, ${one1[n]}$, extent_in, rows, extent_out, columns)\n#else\n extent_out = TRANSPOSE(RESHAPE(extent_in, (/rows, columns/)))\n#endif\n END SUBROUTINE block_transpose_copy_2d1d_${nametype1}$\n\n PURE SUBROUTINE block_copy_1d2d_${nametype1}$ (extent_out, extent_in, &\n rows, columns)\n !! Copy and transpose block.\n\n INTEGER, INTENT(IN) :: rows, columns\n !! input matrix size\n !! input matrix size\n ${type1}$, DIMENSION(:), INTENT(OUT) :: extent_out\n !! output matrix in the form of a 1-d array\n ${type1}$, DIMENSION(rows, columns), INTENT(IN) :: extent_in\n !! input matrix in the form of a 2-d array\n\n! ---------------------------------------------------------------------------\n extent_out = RESHAPE(extent_in, (/rows*columns/))\n END SUBROUTINE block_copy_1d2d_${nametype1}$\n\n PURE_BLOCKOPS SUBROUTINE block_transpose_copy_1d2d_${nametype1}$ (extent_out, extent_in, &\n rows, columns)\n !! Copy and transpose block.\n\n#if defined(__LIBXSMM_TRANS)\n USE libxsmm, ONLY: libxsmm_otrans, libxsmm_ptr1, libxsmm_ptr2\n#endif\n INTEGER, INTENT(IN) :: rows, columns\n !! input matrix size\n !! input matrix size\n ${type1}$, DIMENSION(:), INTENT(OUT), TARGET :: extent_out\n !! output matrix in the form of a 1-d array\n ${type1}$, DIMENSION(rows, columns), INTENT(IN) :: extent_in\n !! input matrix in the form of a 2-d array\n\n! ---------------------------------------------------------------------------\n#if defined(__LIBXSMM_TRANS)\n CALL libxsmm_otrans(libxsmm_ptr1(extent_out), libxsmm_ptr2(extent_in), &\n ${typesize1[n]}$, rows, columns, rows, columns)\n#elif defined(__MKL)\n CALL mkl_${nametype1}$omatcopy('C', 'T', rows, columns, ${one1[n]}$, extent_in, rows, extent_out, columns)\n#else\n extent_out = RESHAPE(TRANSPOSE(extent_in), (/rows*columns/))\n#endif\n END SUBROUTINE block_transpose_copy_1d2d_${nametype1}$\n\n PURE_BLOCKOPS SUBROUTINE block_transpose_inplace_${nametype1}$ (extent, rows, columns)\n !! In-place block transpose.\n\n#if defined(__LIBXSMM_TRANS) && 0\n USE libxsmm, ONLY: libxsmm_itrans, libxsmm_ptr1\n#endif\n INTEGER, INTENT(IN) :: rows, columns\n !! input matrix size\n !! input matrix size\n ${type1}$, DIMENSION(rows*columns), INTENT(INOUT) :: extent\n !! Matrix in the form of a 1-d array\n\n! ---------------------------------------------------------------------------\n#if defined(__LIBXSMM_TRANS) && 0\n CALL libxsmm_itrans(libxsmm_ptr1(extent), ${typesize1[n]}$, rows, columns, rows)\n#elif defined(__MKL)\n CALL mkl_${nametype1}$imatcopy('C', 'T', rows, columns, ${one1[n]}$, extent, rows, columns)\n#else\n ${type1}$, DIMENSION(rows*columns) :: extent_tr\n INTEGER :: r, c\n DO r = 1, columns\n DO c = 1, rows\n extent_tr(r + (c - 1)*columns) = extent(c + (r - 1)*rows)\n END DO\n END DO\n DO r = 1, columns\n DO c = 1, rows\n extent(r + (c - 1)*columns) = extent_tr(r + (c - 1)*columns)\n END DO\n END DO\n#endif\n END SUBROUTINE block_transpose_inplace_${nametype1}$\n\n SUBROUTINE dbcsr_data_set_a${nametype1}$ (dst, lb, data_size, src, source_lb)\n !! Copy data from a double real array to a data area\n !! There are no checks done for correctness!\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n !! destination data area\n INTEGER, INTENT(IN) :: lb, data_size\n !! lower bound for destination (and source if not given explicitly)\n !! number of elements to copy\n ${type1}$, DIMENSION(:), INTENT(IN), CONTIGUOUS :: src\n !! source data array\n INTEGER, INTENT(IN), OPTIONAL :: source_lb\n !! lower bound of source\n INTEGER :: lb_s, ub, ub_s\n\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: cont_data\n\n! ---------------------------------------------------------------------------\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(dst%d)) &\n DBCSR_ABORT(\"Target data area must be setup.\")\n IF (SIZE(src) .LT. data_size) &\n DBCSR_ABORT(\"Not enough source data.\")\n IF (dst%d%data_type .NE. ${dkind1}$) &\n DBCSR_ABORT(\"Data type mismatch.\")\n END IF\n ub = lb + data_size - 1\n IF (PRESENT(source_lb)) THEN\n lb_s = source_lb\n ub_s = source_lb + data_size - 1\n ELSE\n lb_s = lb\n ub_s = ub\n END IF\n cont_data => dst%d%${base1}$_${prec1}$ (lb:ub)\n CALL memory_copy(cont_data, src(lb_s:ub_s), data_size)\n END SUBROUTINE dbcsr_data_set_a${nametype1}$\n\n PURE SUBROUTINE block_add_${nametype1}$ (block_a, block_b, len)\n INTEGER, INTENT(IN) :: len\n ${type1}$, DIMENSION(len), INTENT(INOUT) :: block_a\n ${type1}$, DIMENSION(len), INTENT(IN) :: block_b\n block_a(1:len) = block_a(1:len) + block_b(1:len)\n END SUBROUTINE block_add_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_block_operations\n" }, { "path": "src/block/dbcsr_index_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_index_operations\n !! Operations on the DBCSR index\n\n USE dbcsr_array_types, ONLY: array_data, &\n array_size\n USE dbcsr_config, ONLY: default_resize_factor\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_local_cols, &\n dbcsr_distribution_local_rows, &\n dbcsr_distribution_ncols, &\n dbcsr_distribution_nlocal_cols, &\n dbcsr_distribution_nlocal_rows, &\n dbcsr_distribution_nrows, &\n dbcsr_distribution_thread_dist\n USE dbcsr_dist_operations, ONLY: get_stored_canonical\n USE dbcsr_kinds, ONLY: int_4, &\n int_8\n USE dbcsr_methods, ONLY: dbcsr_distribution, &\n dbcsr_get_index_memory_type\n USE dbcsr_ptr_util, ONLY: ensure_array_size, &\n memory_allocate, &\n memory_deallocate\n USE dbcsr_toollib, ONLY: joaat_hash, &\n sort, &\n swap\n USE dbcsr_types, ONLY: &\n dbcsr_distribution_obj, dbcsr_meta_size, dbcsr_num_slots, dbcsr_slot_blk_p, &\n dbcsr_slot_col_i, dbcsr_slot_coo_l, dbcsr_slot_home_prow, dbcsr_slot_home_vprow, &\n dbcsr_slot_nblkcols_local, dbcsr_slot_nblkcols_total, dbcsr_slot_nblkrows_local, &\n dbcsr_slot_nblkrows_total, dbcsr_slot_nblks, dbcsr_slot_nfullcols_local, dbcsr_slot_nze, &\n dbcsr_slot_row_p, dbcsr_slot_size, dbcsr_slot_thr_c, dbcsr_type\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_max_threads, omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_index_operations'\n\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n\n ! Index transformations\n PUBLIC :: dbcsr_make_index_canonical, &\n transpose_index_local\n PUBLIC :: dbcsr_make_index_local_row, dbcsr_has_local_row_index\n PUBLIC :: dbcsr_make_index_list\n ! Dense/Sparse\n PUBLIC :: make_dense_index, make_undense_index\n ! Working with DBCSR and linear indices\n PUBLIC :: dbcsr_make_dbcsr_index, dbcsr_sort_indices, &\n merge_index_arrays, &\n dbcsr_expand_row_index, &\n dbcsr_count_row_index, dbcsr_build_row_index, &\n dbcsr_index_prune_deleted, &\n dbcsr_index_compact\n PUBLIC :: dbcsr_index_checksum\n ! Index array manipulation\n PUBLIC :: dbcsr_addto_index_array, dbcsr_clearfrom_index_array, &\n dbcsr_repoint_index, dbcsr_make_index_exist\n\n INTERFACE dbcsr_count_row_index\n MODULE PROCEDURE dbcsr_count_row_index_copy, &\n dbcsr_count_row_index_inplace\n END INTERFACE\n\n INTERFACE dbcsr_build_row_index\n MODULE PROCEDURE dbcsr_build_row_index_copy, &\n dbcsr_build_row_index_inplace\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE make_index_canonical(new_row_p, new_col_i, new_blk_p, &\n old_row_p, old_col_i, old_blk_p, matrix)\n !! Makes a canonical index given the index arrays\n !!\n !! Description of canonical ordering\n !! A non-(anti)symmetric matrix is left as is. Otherwise, the row and column\n !! are stored in the position prescribed by the distribution.\n !! @note\n !! This routine uses hard-coded logic as to what constitutes a\n !! canonical ordering\n !! @endnote\n\n INTEGER, DIMENSION(:), INTENT(OUT) :: new_row_p, new_col_i, new_blk_p\n INTEGER, DIMENSION(:), INTENT(IN) :: old_row_p, old_col_i, old_blk_p\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'make_index_canonical'\n\n INTEGER :: blk, col, nblks, row, stored_col, &\n stored_row\n INTEGER, ALLOCATABLE, DIMENSION(:) :: row_i\n LOGICAL :: tr\n\n! ---------------------------------------------------------------------------\n\n nblks = SIZE(old_blk_p)\n ALLOCATE (row_i(nblks))\n IF (debug_mod) THEN\n WRITE (*, *) \"old row_p\", old_row_p\n WRITE (*, *) \"old col_i\", old_col_i\n WRITE (*, *) \"old blk_p\", old_blk_p\n END IF\n DO row = 1, SIZE(old_row_p) - 1\n DO blk = old_row_p(row) + 1, old_row_p(row + 1)\n col = old_col_i(blk)\n stored_row = row\n stored_col = col\n tr = .FALSE.\n CALL get_stored_canonical(matrix, stored_row, stored_col, tr)\n IF (debug_mod) &\n WRITE (*, '(A,2(1X,I5),A,2(1X,I5),\";\",I7,1X,L1)') &\n routineN//\" X->\", row, col, \"->\", &\n stored_row, stored_col, blk, tr\n row_i(blk) = stored_row\n new_col_i(blk) = stored_col\n IF (.NOT. tr) THEN\n new_blk_p(blk) = old_blk_p(blk)\n ELSE\n new_blk_p(blk) = -old_blk_p(blk)\n END IF\n END DO\n END DO\n CALL dbcsr_sort_indices(nblks, row_i, new_col_i, blk_p=new_blk_p)\n ! Re-create the index\n CALL dbcsr_make_dbcsr_index(new_row_p, row_i, SIZE(new_row_p) - 1, nblks)\n IF (debug_mod) THEN\n WRITE (*, *) \"new row_p\", new_row_p\n WRITE (*, *) \"new row_i\", row_i\n WRITE (*, *) \"new col_i\", new_col_i\n WRITE (*, *) \"new blk_p\", new_blk_p\n END IF\n END SUBROUTINE make_index_canonical\n\n SUBROUTINE make_index_triangular(new_row_p, new_col_i, new_blk_p, &\n old_row_p, old_col_i, old_blk_p, matrix)\n !! Makes a CP2K triangular index given the index arrays\n !!\n !! Description of canonical ordering\n !! A non-(anti)symmetric matrix is left as is. Otherwise, the row and column\n !! are stored in the position prescribed by the distribution.\n !! @note\n !! This routine uses hard-coded logic as to what constitutes a\n !! canonical ordering\n !! @endnote\n\n INTEGER, DIMENSION(:), INTENT(OUT) :: new_row_p, new_col_i, new_blk_p\n INTEGER, DIMENSION(:), INTENT(IN) :: old_row_p, old_col_i, old_blk_p\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'make_index_triangular'\n\n INTEGER :: blk, col, nblks, row, stored_col, &\n stored_row\n INTEGER, ALLOCATABLE, DIMENSION(:) :: row_i\n LOGICAL :: tr\n\n! ---------------------------------------------------------------------------\n\n nblks = SIZE(old_blk_p)\n ALLOCATE (row_i(nblks))\n IF (debug_mod) THEN\n WRITE (*, *) \"old row_p\", old_row_p\n WRITE (*, *) \"old col_i\", old_col_i\n WRITE (*, *) \"old blk_p\", old_blk_p\n END IF\n DO row = 1, SIZE(old_row_p) - 1\n DO blk = old_row_p(row) + 1, old_row_p(row + 1)\n col = old_col_i(blk)\n stored_row = row\n stored_col = col\n tr = .FALSE.\n CALL get_stored_canonical(matrix, stored_row, stored_col, tr)\n IF (stored_row .GT. stored_col) THEN\n CALL swap(stored_row, stored_col)\n tr = .NOT. tr\n END IF\n IF (debug_mod) &\n WRITE (*, '(A,2(1X,I5),A,2(1X,I5),\";\",I7,1X,L1)') &\n routineN//\" X->\", row, col, \"->\", &\n stored_row, stored_col, blk, tr\n row_i(blk) = stored_row\n new_col_i(blk) = stored_col\n IF (.NOT. tr) THEN\n new_blk_p(blk) = old_blk_p(blk)\n ELSE\n new_blk_p(blk) = -old_blk_p(blk)\n END IF\n END DO\n END DO\n CALL dbcsr_sort_indices(nblks, row_i, new_col_i, blk_p=new_blk_p)\n ! Re-create the index\n CALL dbcsr_make_dbcsr_index(new_row_p, row_i, SIZE(new_row_p) - 1, nblks)\n IF (debug_mod) THEN\n WRITE (*, *) \"new row_p\", new_row_p\n WRITE (*, *) \"new row_i\", row_i\n WRITE (*, *) \"new col_i\", new_col_i\n WRITE (*, *) \"new blk_p\", new_blk_p\n END IF\n END SUBROUTINE make_index_triangular\n\n SUBROUTINE dbcsr_make_dbcsr_index(row_p, row_i, nrows, nblks)\n !! Collapses a row_p index\n INTEGER, INTENT(in) :: nrows, nblks\n INTEGER, DIMENSION(1:nrows + 1), INTENT(out) :: row_p\n INTEGER, DIMENSION(1:nblks), INTENT(in) :: row_i\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_dbcsr_index'\n\n INTEGER :: blk, error_handle, row\n\n CALL timeset(routineN, error_handle)\n\n row_p(1) = 0\n row_p(nrows + 1) = nblks\n row = 1\n blk = 1\n DO WHILE (row .LE. nrows)\n IF (blk .LE. nblks) THEN\n DO WHILE (row_i(blk) .EQ. row)\n blk = blk + 1\n IF (blk .GT. nblks) THEN\n row_p(row + 1) = nblks - 1\n EXIT\n END IF\n END DO\n END IF\n row_p(row + 1) = blk - 1\n row = row + 1\n END DO\n\n CALL timestop(error_handle)\n\n END SUBROUTINE dbcsr_make_dbcsr_index\n\n PURE SUBROUTINE dbcsr_expand_row_index(row_p, row_i, nrows, nblks)\n !! Expands a row_p index\n INTEGER, INTENT(IN) :: nrows, nblks\n INTEGER, DIMENSION(1:nrows + 1), INTENT(IN) :: row_p\n INTEGER, DIMENSION(1:nblks), INTENT(OUT) :: row_i\n\n INTEGER :: row\n\n DO row = 1, nrows\n row_i(row_p(row) + 1:row_p(row + 1)) = row\n END DO\n END SUBROUTINE dbcsr_expand_row_index\n\n PURE SUBROUTINE dbcsr_expand_row_index_2d(row_p, row_i, nrows, dst_i)\n !! Expands a row_p index\n INTEGER, INTENT(IN) :: nrows, dst_i\n INTEGER, DIMENSION(1:nrows + 1), INTENT(IN) :: row_p\n INTEGER, DIMENSION(:, :), INTENT(OUT) :: row_i\n\n INTEGER :: row\n\n DO row = 1, nrows\n row_i(dst_i, row_p(row) + 1:row_p(row + 1)) = row\n END DO\n END SUBROUTINE dbcsr_expand_row_index_2d\n\n PURE SUBROUTINE dbcsr_count_row_index_inplace(rows, nrows)\n !! Counts columns-per-row count from row index array, in-place.\n\n INTEGER, INTENT(IN) :: nrows\n !! number of rows\n INTEGER, DIMENSION(1:nrows + 1), INTENT(INOUT) :: rows\n !! the row_p index (input); the count of the number of columns per row (output)\n\n INTEGER :: row\n\n DO row = 1, nrows\n rows(row) = rows(row + 1) - rows(row)\n END DO\n rows(nrows + 1) = 0\n END SUBROUTINE dbcsr_count_row_index_inplace\n\n PURE SUBROUTINE dbcsr_count_row_index_copy(rows, counts, nrows)\n !! Counts columns-per-row count from row index array.\n\n INTEGER, INTENT(IN) :: nrows\n !! number of rows\n INTEGER, DIMENSION(1:nrows), INTENT(OUT) :: counts\n !! the count of the number of columns per row\n INTEGER, DIMENSION(1:nrows + 1), INTENT(IN) :: rows\n !! the row_p index (input)\n\n INTEGER :: row\n\n DO row = 1, nrows\n counts(row) = rows(row + 1) - rows(row)\n END DO\n END SUBROUTINE dbcsr_count_row_index_copy\n\n PURE SUBROUTINE dbcsr_build_row_index_inplace(rows, nrows)\n !! Builds row index array from a columns-per-row count, in-place.\n\n INTEGER, INTENT(IN) :: nrows\n !! number of rows\n INTEGER, DIMENSION(1:nrows + 1), INTENT(INOUT) :: rows\n !! count of the number of columns per row (input); the row_p index (output)\n\n INTEGER :: o, old_count, row\n\n old_count = rows(1)\n rows(1) = 0\n IF (nrows .GE. 1) THEN\n DO row = 2, nrows + 1\n o = rows(row)\n rows(row) = rows(row - 1) + old_count\n old_count = o\n END DO\n END IF\n END SUBROUTINE dbcsr_build_row_index_inplace\n\n PURE SUBROUTINE dbcsr_build_row_index_copy(counts, rows, nrows)\n !! Builds row index array from a columns-per-row count.\n\n INTEGER, INTENT(IN) :: nrows\n !! number of rows\n INTEGER, DIMENSION(1:nrows + 1), INTENT(OUT) :: rows\n !! count of the number of columns per row (input); the row_p index (output)\n INTEGER, DIMENSION(1:nrows), INTENT(IN) :: counts\n !! count of the number of columns per row\n\n!WTF?!rows(1) = 0\n!WTF?!IF (nrows .GE. 1) THEN\n!WTF?! DO row = 2, nrows+1\n!WTF?! rows(row) = rows(row-1) + counts(rows-1)\n!WTF?! ENDDO\n!WTF?!ENDIF\n\n rows(1:nrows) = counts(1:nrows)\n CALL dbcsr_build_row_index_inplace(rows, nrows)\n END SUBROUTINE dbcsr_build_row_index_copy\n\n SUBROUTINE dbcsr_addto_index_array(matrix, slot, DATA, reservation, extra)\n !! Adds data to the index. Increases the index size when necessary.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! bcsr matrix\n INTEGER, INTENT(IN) :: slot\n !! which index array to add (e.g., dbcsr_slot_row_blk_sizes)\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: DATA\n !! array holding the index data to add to the index array\n INTEGER, INTENT(IN), OPTIONAL :: reservation, extra\n !! only reserve space for subsequent array\n !! reserve extra space for later additions\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_addto_index_array', &\n routineP = moduleN//':'//routineN\n\n INTEGER :: deplus, space, ub, ub_new\n\n! ---------------------------------------------------------------------------\n\n IF (debug_mod) THEN\n IF (.NOT. ASSOCIATED(matrix%index)) &\n DBCSR_ABORT(\"Index must be preallocated.\")\n IF (UBOUND(matrix%index, 1) < dbcsr_num_slots) &\n DBCSR_ABORT(\"Actual index size less than declared size\")\n IF (.NOT. PRESENT(DATA) .AND. .NOT. PRESENT(reservation)) &\n DBCSR_ABORT('Either an array or its size must be specified.')\n WRITE (*, *) routineP//' index', matrix%index(:dbcsr_num_slots)\n END IF\n IF (PRESENT(reservation)) THEN\n space = reservation\n ELSE\n space = SIZE(DATA)\n END IF\n IF (PRESENT(extra)) THEN\n deplus = extra\n ELSE\n deplus = 0\n END IF\n ub = UBOUND(matrix%index, 1)\n ! The data area was not defined or the new area is greater than the old:\n IF (matrix%index(slot) .EQ. 0 .OR. &\n space .GT. matrix%index(slot + 1) - matrix%index(slot) + 1) THEN\n IF (debug_mod) WRITE (*, *) routineP//' Slot', slot, 'not filled, adding at', &\n matrix%index(dbcsr_slot_size) + 1, 'sized', space\n matrix%index(slot) = matrix%index(dbcsr_slot_size) + 1\n matrix%index(slot + 1) = matrix%index(slot) + space - 1\n matrix%index(dbcsr_slot_size) = matrix%index(slot + 1)\n END IF\n ! Shorten an index entry.\n IF (space .LT. matrix%index(slot + 1) - matrix%index(slot) + 1) THEN\n IF (debug_mod) WRITE (*, *) routineP//' Shortening index'\n matrix%index(slot + 1) = matrix%index(slot) + space - 1\n CALL dbcsr_repoint_index(matrix, slot)\n END IF\n ub_new = matrix%index(slot + 1) + deplus\n IF (debug_mod) WRITE (*, *) routineP//' need', space, 'at', matrix%index(slot), &\n 'to', matrix%index(slot + 1), '(', ub_new, ')', 'have', ub\n IF (ub_new .GT. ub) THEN\n IF (debug_mod) WRITE (*, *) routineP//' Reallocating index to ubound', ub_new\n !CALL reallocate(matrix%index, 1, ub_new)\n CALL ensure_array_size(matrix%index, lb=1, ub=ub_new, &\n factor=default_resize_factor, &\n nocopy=.FALSE., &\n memory_type=matrix%index_memory_type)\n CALL dbcsr_repoint_index(matrix)\n END IF\n IF (debug_mod) WRITE (*, *) routineP//' Adding slot', slot, 'at', &\n matrix%index(slot), 'sized', space\n CALL dbcsr_repoint_index(matrix, slot)\n IF (PRESENT(DATA)) &\n matrix%index(matrix%index(slot):matrix%index(slot + 1)) = DATA(:)\n END SUBROUTINE dbcsr_addto_index_array\n\n SUBROUTINE dbcsr_clearfrom_index_array(matrix, slot)\n !! Removes data from the index.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! bcsr matrix\n INTEGER, INTENT(IN) :: slot\n !! which index array to remove (e.g., dbcsr_slot_row_blk_sizes)\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_clearfrom_index_array', &\n routineP = moduleN//':'//routineN\n\n INTEGER :: space\n INTEGER, DIMENSION(5) :: max_extents\n\n! ---------------------------------------------------------------------------\n\n IF (.NOT. ASSOCIATED(matrix%index)) &\n DBCSR_ABORT(\"Index must be preallocated.\")\n IF (UBOUND(matrix%index, 1) < dbcsr_num_slots) &\n DBCSR_ABORT(\"Actual index size less than declared size\")\n IF (debug_mod) WRITE (*, *) routineP//' index', &\n matrix%index(:dbcsr_num_slots)\n ! Clear index entry pointer\n matrix%index(slot) = 1\n matrix%index(slot + 1) = 0\n CALL dbcsr_repoint_index(matrix, slot)\n ! Update the declared index size\n max_extents = (/ &\n matrix%index(dbcsr_slot_row_p + 1), &\n matrix%index(dbcsr_slot_col_i + 1), &\n matrix%index(dbcsr_slot_blk_p + 1), &\n matrix%index(dbcsr_slot_thr_c + 1), &\n matrix%index(dbcsr_slot_coo_l + 1)/)\n space = MAX(MAXVAL(max_extents), dbcsr_num_slots)\n matrix%index(dbcsr_slot_size) = space\n END SUBROUTINE dbcsr_clearfrom_index_array\n\n SUBROUTINE dbcsr_repoint_index(m, slot)\n !! Updates the index pointers of a bcsr matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: m\n !! matrix for which index pointers are updated\n INTEGER, INTENT(IN), OPTIONAL :: slot\n !! only repoint this index\n\n INTEGER :: s\n LOGICAL :: all\n\n! ---------------------------------------------------------------------------\n\n IF (m%nblks .NE. m%index(dbcsr_slot_nblks)) THEN\n m%nblks = m%index(dbcsr_slot_nblks)\n m%nze = m%index(dbcsr_slot_nze)\n END IF\n all = .TRUE.\n IF (PRESENT(slot)) THEN\n all = .FALSE.\n s = slot\n ELSE\n s = 0\n END IF\n\n IF (m%index(dbcsr_slot_row_p) .GT. 0 .AND. all .OR. &\n s .EQ. dbcsr_slot_row_p) THEN\n IF (m%index(dbcsr_slot_row_p) .GT. 0) THEN\n m%row_p => m%index(m%index(dbcsr_slot_row_p): &\n m%index(dbcsr_slot_row_p + 1))\n ELSE\n NULLIFY (m%row_p)\n END IF\n END IF\n IF (m%index(dbcsr_slot_col_i) .GT. 0 .AND. all .OR. &\n s .EQ. dbcsr_slot_col_i) THEN\n IF (m%index(dbcsr_slot_col_i) .GT. 0) THEN\n m%col_i => m%index(m%index(dbcsr_slot_col_i): &\n m%index(dbcsr_slot_col_i + 1))\n ELSE\n NULLIFY (m%col_i)\n END IF\n END IF\n IF (m%index(dbcsr_slot_blk_p) .GT. 0 .AND. all .OR. &\n s .EQ. dbcsr_slot_blk_p) THEN\n IF (m%index(dbcsr_slot_blk_p) .GT. 0) THEN\n m%blk_p => m%index(m%index(dbcsr_slot_blk_p): &\n m%index(dbcsr_slot_blk_p + 1))\n ELSE\n NULLIFY (m%blk_p)\n END IF\n END IF\n IF (m%index(dbcsr_slot_thr_c) .GT. 0 .AND. all .OR. &\n s .EQ. dbcsr_slot_thr_c) THEN\n IF (m%index(dbcsr_slot_thr_c) .GT. 0) THEN\n m%thr_c => m%index(m%index(dbcsr_slot_thr_c): &\n m%index(dbcsr_slot_thr_c + 1))\n ELSE\n NULLIFY (m%thr_c)\n END IF\n END IF\n IF (m%index(dbcsr_slot_coo_l) .GT. 0 .AND. all .OR. &\n s .EQ. dbcsr_slot_coo_l) THEN\n IF (m%index(dbcsr_slot_coo_l) .GT. 0) THEN\n m%coo_l => m%index(m%index(dbcsr_slot_coo_l): &\n m%index(dbcsr_slot_coo_l + 1))\n ELSE\n NULLIFY (m%coo_l)\n END IF\n END IF\n IF (all) THEN\n m%index(dbcsr_slot_nblks) = m%nblks\n m%index(dbcsr_slot_nze) = m%nze\n END IF\n END SUBROUTINE dbcsr_repoint_index\n\n SUBROUTINE dbcsr_make_index_exist(m)\n\n TYPE(dbcsr_type), INTENT(INOUT) :: m\n !! Create index for this matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_index_exist'\n\n INTEGER :: error_handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n IF (.NOT. ASSOCIATED(m%index)) &\n DBCSR_ABORT(\"Index array does not yet exist.\")\n IF (.NOT. ASSOCIATED(m%row_p)) THEN\n CALL dbcsr_addto_index_array(m, dbcsr_slot_row_p, &\n reservation=m%nblkrows_total + 1)\n m%row_p(:) = 0\n END IF\n IF (.NOT. ASSOCIATED(m%col_i)) THEN\n CALL dbcsr_addto_index_array(m, dbcsr_slot_col_i, &\n reservation=0)\n END IF\n IF (.NOT. ASSOCIATED(m%blk_p)) THEN\n CALL dbcsr_addto_index_array(m, dbcsr_slot_blk_p, &\n reservation=0)\n END IF\n CALL dbcsr_repoint_index(m)\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_make_index_exist\n\n SUBROUTINE dbcsr_sort_indices(n, row_i, col_i, blk_p, blk_d)\n !! Sorts the rows & columns of a work matrix\n !!\n !! Description\n !! Sorts the row and column indices so that the rows monotonically\n !! increase and the columns monotonically increase within each row.\n !! Passing the blk_p array rearranges the block pointers accordingly.\n !! This must be done if they are pointing to valid data, otherwise\n !! they become invalid.\n\n INTEGER, INTENT(IN) :: n\n !! number of blocks (elements) to sort\n INTEGER, DIMENSION(1:), INTENT(INOUT) :: row_i, col_i\n !! row indices\n !! column indices\n INTEGER, DIMENSION(1:), INTENT(INOUT), OPTIONAL :: blk_p, blk_d\n !! block pointers\n !! data storage\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_sort_indices', &\n routineP = moduleN//':'//routineN\n INTEGER(KIND=int_8), PARAMETER :: lmask8 = 4294967295_int_8\n\n INTEGER :: error_handle, i\n INTEGER(KIND=int_8), ALLOCATABLE, DIMENSION(:) :: sort_keys\n INTEGER, ALLOCATABLE, DIMENSION(:) :: buf, buf_d\n\n! ---------------------------------------------------------------------------\n\n IF (n .LE. 0) RETURN\n IF (SIZE(row_i) .EQ. 0) RETURN\n\n CALL timeset(routineN, error_handle)\n\n IF (SIZE(row_i) < n) DBCSR_ABORT('row_i too small')\n IF (SIZE(col_i) < n) DBCSR_ABORT('col_i too small')\n IF (PRESENT(blk_p)) THEN\n IF (SIZE(blk_p) < n) DBCSR_ABORT('blk_p too small')\n ALLOCATE (buf(n))\n buf(1:n) = blk_p(1:n)\n END IF\n IF (PRESENT(blk_d)) THEN\n ALLOCATE (buf_d(n))\n buf_d(1:n) = blk_d(1:n)\n END IF\n ! Create an ordering for both rows and columns. If the blk_p must\n ! be rearranged, then the col_i array will be used as a\n ! permutation vector.\n ALLOCATE (sort_keys(n))\n sort_keys(:) = IOR(ISHFT(INT(row_i(1:n), int_8), 32), INT(col_i(1:n), int_8))\n IF (PRESENT(blk_p)) col_i(1:n) = (/(i, i=1, n)/)\n ! Now do a nice quicksort.\n CALL sort(sort_keys, n, col_i)\n ! Since blk_d is usually not present we can have two loops that\n ! are essentially the same.\n IF (PRESENT(blk_p)) THEN\n DO i = 1, n\n blk_p(i) = buf(col_i(i))\n END DO\n DEALLOCATE (buf)\n END IF\n IF (PRESENT(blk_d)) THEN\n DO i = 1, n\n blk_d(i) = buf_d(col_i(i))\n END DO\n DEALLOCATE (buf_d)\n END IF\n DO i = 1, n\n col_i(i) = INT(IAND(sort_keys(i), lmask8), int_4)\n row_i(i) = INT(ISHFT(sort_keys(i), -32), int_4)\n END DO\n DEALLOCATE (sort_keys)\n IF (debug_mod .AND. PRESENT(blk_p)) &\n WRITE (*, *) routineP//' sort, blk_p =', blk_p\n CALL timestop(error_handle)\n\n END SUBROUTINE dbcsr_sort_indices\n\n SUBROUTINE dbcsr_index_prune_deleted(matrix)\n !! Removes the deleted blocks from the index.\n !!\n !! Description\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! Prune the index of this matrix.\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_index_prune_deleted'\n\n INTEGER :: error_handle, nblks_max, new_blk, nrows, &\n old_blk, row\n INTEGER, ALLOCATABLE, DIMENSION(:) :: new_blk_p, new_col_i, new_row_count\n INTEGER, DIMENSION(:), POINTER :: old_blk_p, old_col_i, old_row_p\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n !\n old_row_p => matrix%row_p\n old_col_i => matrix%col_i\n old_blk_p => matrix%blk_p\n !\n nrows = matrix%nblkrows_total\n nblks_max = old_row_p(nrows + 1)\n ALLOCATE (new_row_count(nrows))\n ALLOCATE (new_col_i(nblks_max))\n ALLOCATE (new_blk_p(nblks_max))\n !\n ! Build up the new index from all non-deleted blocks in the\n ! existing index.\n new_blk = 0\n DO row = 1, nrows\n new_row_count(row) = 0\n DO old_blk = old_row_p(row) + 1, old_row_p(row + 1)\n IF (old_blk_p(old_blk) .GT. 0) THEN\n new_blk = new_blk + 1\n new_row_count(row) = new_row_count(row) + 1\n new_col_i(new_blk) = old_col_i(old_blk)\n new_blk_p(new_blk) = old_blk_p(old_blk)\n END IF\n END DO\n END DO\n !\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_row_p)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_col_i)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_blk_p)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_row_p, &\n reservation=nrows + 1, extra=2*new_blk)\n old_row_p => matrix%row_p\n CALL dbcsr_build_row_index(counts=new_row_count, rows=old_row_p, &\n nrows=nrows)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_col_i, DATA=new_col_i(1:new_blk))\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_blk_p, DATA=new_blk_p(1:new_blk))\n matrix%nblks = new_blk\n matrix%index(dbcsr_slot_nblks) = new_blk\n !\n DEALLOCATE (new_col_i, new_blk_p, new_row_count)\n !\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_index_prune_deleted\n\n SUBROUTINE transpose_index_local(new_col_p, new_row_i, old_row_p, &\n old_col_i, new_blk_p, old_blk_p)\n !! Re-indexes row_p and blk_i according to columns.\n !!\n !! The re-indexing is equivalent to a local-only transpose.\n\n INTEGER, DIMENSION(:), INTENT(OUT) :: new_col_p, new_row_i\n !! new column pointer\n !! new row index\n INTEGER, DIMENSION(:), INTENT(IN) :: old_row_p, old_col_i\n !! old row pointer\n !! old column index\n INTEGER, DIMENSION(:), INTENT(OUT), OPTIONAL :: new_blk_p\n !! new block pointer\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: old_blk_p\n !! old block pointer\n\n CHARACTER(len=*), PARAMETER :: routineN = 'transpose_index_local'\n\n INTEGER :: error_handle, nblks, ncols_new, nrows_old\n INTEGER, ALLOCATABLE, DIMENSION(:) :: new_col_i\n LOGICAL :: blks\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n blks = PRESENT(new_blk_p) .AND. PRESENT(old_blk_p)\n nblks = SIZE(old_col_i)\n nrows_old = SIZE(old_row_p) - 1\n ncols_new = SIZE(new_col_p) - 1\n IF (blks) new_blk_p(:) = old_blk_p(:)\n ALLOCATE (new_col_i(nblks))\n CALL dbcsr_expand_row_index(old_row_p, new_row_i, nrows_old, nblks)\n new_col_i(:) = old_col_i(:)\n CALL dbcsr_sort_indices(nblks, new_col_i, new_row_i, new_blk_p)\n CALL dbcsr_make_dbcsr_index(new_col_p, new_col_i, ncols_new, nblks)\n DEALLOCATE (new_col_i)\n CALL timestop(error_handle)\n END SUBROUTINE transpose_index_local\n\n SUBROUTINE dbcsr_make_index_canonical(matrix, cp2k)\n !! Makes a canonical index to the distribution.\n !!\n !! Canonical means that it respects the distribution.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix for which to make canonical index\n LOGICAL, INTENT(IN), OPTIONAL :: cp2k\n !! make CP2K triangular index from canonical; default is false\n\n INTEGER :: nb, nc, nr\n INTEGER, ALLOCATABLE, DIMENSION(:) :: new_blk_p, new_col_i, new_row_p\n LOGICAL :: rev\n\n! ---------------------------------------------------------------------------\n\n rev = .FALSE.\n IF (PRESENT(cp2k)) rev = cp2k\n nr = SIZE(matrix%row_p)\n ALLOCATE (new_row_p(nr))\n nc = SIZE(matrix%col_i)\n ALLOCATE (new_col_i(nc))\n nb = SIZE(matrix%blk_p)\n ALLOCATE (new_blk_p(nb))\n IF (rev) THEN\n CALL make_index_triangular(new_row_p, new_col_i, new_blk_p, &\n matrix%row_p, matrix%col_i, matrix%blk_p, matrix)\n ELSE\n CALL make_index_canonical(new_row_p, new_col_i, new_blk_p, &\n matrix%row_p, matrix%col_i, matrix%blk_p, matrix)\n END IF\n matrix%row_p(:) = new_row_p\n matrix%col_i(:) = new_col_i\n matrix%blk_p(:) = new_blk_p\n END SUBROUTINE dbcsr_make_index_canonical\n\n SUBROUTINE make_dense_index(row_p, col_i, blk_p, &\n nblkrows_total, nblkcols_total, myblkrows, myblkcols, &\n row_blk_offsets, col_blk_offsets, meta, make_tr)\n !! Makes the index for a dense matrix\n !! @note\n !! Used for making matrices dense/undense\n !! @endnote\n\n !INTEGER, DIMENSION(:), INTENT(OUT) :: row_p, col_i, blk_p\n INTEGER, INTENT(IN) :: nblkrows_total\n !! Total blocked rows\n INTEGER, DIMENSION(:), INTENT(OUT) :: blk_p, col_i\n !! Storage for new index\n !! Storage for new index\n INTEGER, DIMENSION(1:nblkrows_total + 1), &\n INTENT(OUT) :: row_p\n !! Storage for new index\n INTEGER, INTENT(IN) :: nblkcols_total\n !! Total blocked columns\n INTEGER, DIMENSION(:), INTENT(IN) :: myblkrows, myblkcols, row_blk_offsets, &\n col_blk_offsets\n !! List of blocked rows in my process row\n !! List of blocked columns in my process column\n INTEGER, DIMENSION(dbcsr_meta_size), INTENT(INOUT) :: meta\n !! Metadata updates for new index\n LOGICAL, INTENT(IN), OPTIONAL :: make_tr\n !! Dense blocks are transposed\n\n CHARACTER(len=*), PARAMETER :: routineN = 'make_dense_index'\n\n INTEGER :: blk, c, col_l, mynblkcols, mynblkrows, &\n nblks, nze, prev_row, row, row_l, &\n sign_carrier, sz\n\n! ---------------------------------------------------------------------------\n\n sign_carrier = 1\n IF (PRESENT(make_tr)) THEN\n IF (make_tr) sign_carrier = -1\n END IF\n mynblkrows = SIZE(myblkrows)\n mynblkcols = SIZE(myblkcols)\n meta(dbcsr_slot_nblkrows_local) = mynblkrows\n meta(dbcsr_slot_nblkcols_local) = mynblkcols\n nblks = mynblkrows*mynblkcols\n nze = 1\n IF (nblks .EQ. 0) THEN\n row_p(1:) = 0\n ELSE\n row_p(1) = 0\n !row_p(nrows+1) = nblks\n prev_row = 1\n blk = 0\n DO row_l = 1, mynblkrows\n row = myblkrows(row_l)\n row_p(prev_row + 1:row) = blk\n DO col_l = 1, mynblkcols\n c = myblkcols(col_l)\n col_i(blk + col_l) = c\n sz = (row_blk_offsets(row + 1) - row_blk_offsets(row))* &\n (col_blk_offsets(c + 1) - col_blk_offsets(c))\n IF (sz .GT. 0) THEN\n blk_p(blk + col_l) = SIGN(nze, sign_carrier)\n nze = nze + sz\n ELSE\n blk_p(blk + col_l) = 0\n END IF\n END DO\n prev_row = row\n blk = blk + mynblkcols\n END DO\n IF (blk /= nblks) DBCSR_ABORT(\"Block mismatch\")\n row_p(prev_row + 1:nblkrows_total + 1) = nblks\n END IF\n IF (debug_mod) THEN\n WRITE (*, *) routineN//\" new index\"\n WRITE (*, *) \"row_p=\", row_p\n WRITE (*, *) \"col_i=\", col_i\n WRITE (*, *) \"blk_p=\", blk_p\n END IF\n meta(dbcsr_slot_nblkrows_total) = nblkrows_total\n meta(dbcsr_slot_nblkcols_total) = nblkcols_total\n END SUBROUTINE make_dense_index\n\n SUBROUTINE make_undense_index( &\n row_p, col_i, blk_p, &\n distribution, local_row_offsets, local_col_offsets, &\n meta)\n !! Makes a blocked index from a dense matrix\n !! @note\n !! Used for making matrices dense/undense\n !! @endnote\n\n INTEGER, DIMENSION(:), INTENT(OUT) :: row_p, col_i, blk_p\n !! Storage for new index\n !! Storage for new index\n !! Storage for new index\n TYPE(dbcsr_distribution_obj) :: distribution\n !! Blocked distribution\n INTEGER, DIMENSION(:), INTENT(IN) :: local_row_offsets, local_col_offsets\n INTEGER, DIMENSION(dbcsr_meta_size), INTENT(INOUT) :: meta\n !! Metadata updates for new index\n\n INTEGER :: col, lr, lrow, nblkcols_local, &\n nblkrows_local, nblkrows_total, &\n nfullcols_local, prev_row, row\n INTEGER, DIMENSION(:), POINTER :: local_cols, local_rows\n\n! ---------------------------------------------------------------------------\n\n local_cols => dbcsr_distribution_local_cols(distribution)\n local_rows => dbcsr_distribution_local_rows(distribution)\n meta(dbcsr_slot_nblkrows_total) = dbcsr_distribution_nrows(distribution)\n meta(dbcsr_slot_nblkcols_total) = dbcsr_distribution_ncols(distribution)\n meta(dbcsr_slot_nblkrows_local) = dbcsr_distribution_nlocal_rows(distribution)\n meta(dbcsr_slot_nblkcols_local) = dbcsr_distribution_nlocal_cols(distribution)\n nblkrows_total = meta(dbcsr_slot_nblkrows_total)\n nblkcols_local = meta(dbcsr_slot_nblkcols_local)\n nblkrows_local = meta(dbcsr_slot_nblkrows_local)\n nfullcols_local = meta(dbcsr_slot_nfullcols_local)\n ! Fill the row_p array.\n lr = 0\n row_p(1) = 0\n prev_row = 1\n DO lrow = 1, nblkrows_local\n row = local_rows(lrow)\n row_p(prev_row + 1:row) = lr\n lr = lr + nblkcols_local\n row_p(row + 1) = lr\n prev_row = row\n END DO\n row_p(prev_row + 1:nblkrows_total + 1) = lr\n !\n DO row = 1, nblkrows_local\n DO col = 1, nblkcols_local\n col_i(nblkcols_local*(row - 1) + col) = local_cols(col)\n blk_p(nblkcols_local*(row - 1) + col) = 1 + &\n (local_row_offsets(row) - 1)*nfullcols_local &\n + (local_col_offsets(col) - 1)* &\n (local_row_offsets(row + 1) - local_row_offsets(row))\n END DO\n END DO\n END SUBROUTINE make_undense_index\n\n SUBROUTINE merge_index_arrays(new_row_i, new_col_i, new_blk_p, new_size, &\n old_row_i, old_col_i, old_blk_p, old_size, &\n add_ip, add_size, new_blk_d, old_blk_d, &\n added_size_offset, added_sizes, added_size, added_nblks)\n !! Merges two indices\n !!\n !! Added sizes\n !! added_size_offset and added_sizes can be optionally\n !! specified. This is meant for cases where the added blocks may\n !! be duplicates of existing blocks. In this way it is possible\n !! to recalculate new block pointers to avoid wasted space.\n !! @note\n !! Used in local multiply\n !! Assumes they are both pre-sorted\n !! @endnote\n\n INTEGER, INTENT(IN) :: new_size\n !! size of merged index\n INTEGER, DIMENSION(new_size), INTENT(OUT) :: new_blk_p, new_col_i, new_row_i\n !! merged result\n !! merged result\n !! merged result\n INTEGER, INTENT(IN) :: old_size\n !! size of current index\n INTEGER, DIMENSION(old_size), INTENT(IN) :: old_blk_p, old_col_i, old_row_i\n !! current index\n !! current index\n !! current index\n INTEGER, INTENT(IN) :: add_size\n !! size of index to add into the current index\n INTEGER, DIMENSION(3, add_size), INTENT(IN) :: add_ip\n !! index to add into the current index\n INTEGER, DIMENSION(new_size), INTENT(OUT), &\n OPTIONAL :: new_blk_d\n INTEGER, DIMENSION(old_size), INTENT(IN), OPTIONAL :: old_blk_d\n INTEGER, INTENT(IN), OPTIONAL :: added_size_offset\n !! specify base of added sizes\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: added_sizes\n !! specify sizes of added blocks\n INTEGER, INTENT(OUT), OPTIONAL :: added_size, added_nblks\n !! counts number of sizes of added blocks\n !! actual number of new elements\n\n INTEGER :: add_blk, bp, i, merge_from_whom, &\n new_blk, old_blk\n LOGICAL :: multidata\n\n! ---------------------------------------------------------------------------\n\n bp = 0\n multidata = PRESENT(old_blk_d) .AND. PRESENT(new_blk_d)\n IF (old_size + add_size .NE. new_size) &\n DBCSR_WARN(\"Mismatch of new and old size\")\n IF (PRESENT(added_size_offset) .NEQV. PRESENT(added_sizes)) &\n DBCSR_ABORT(\"Must specify a set of arguments\")\n IF (PRESENT(added_sizes) .NEQV. PRESENT(added_size)) &\n DBCSR_ABORT(\"Must specify a set of arguments\")\n IF (debug_mod) THEN\n WRITE (*, *) \" Old array\", old_size\n DO i = 1, old_size\n WRITE (*, '(I7,2X,I7,2X,I7)') old_row_i(i), old_col_i(i), old_blk_p(i)\n END DO\n WRITE (*, *) \" Add array\", add_size\n DO i = 1, add_size\n WRITE (*, '(I7,2X,I7,2X,I7)') add_ip(1:3, i)\n END DO\n END IF\n IF (PRESENT(added_nblks)) added_nblks = 0\n IF (PRESENT(added_size)) THEN\n added_size = 0\n bp = added_size_offset\n END IF\n IF (add_size .GT. 0) THEN\n old_blk = 1\n add_blk = 1\n new_blk = 1\n IF (old_size .EQ. 0) THEN\n new_row_i(1:add_size) = add_ip(1, 1:add_size)\n new_col_i(1:add_size) = add_ip(2, 1:add_size)\n new_blk_p(1:add_size) = add_ip(3, 1:add_size)\n !IF (multidata) new_blk_d(1:add_size) = add_ip(4, 1:add_size)\n IF (PRESENT(added_nblks)) added_nblks = add_size\n IF (PRESENT(added_size)) added_size = SUM(added_sizes)\n ELSE\n DO WHILE (new_blk .LE. new_size)\n merge_from_whom = 0\n IF (old_blk .LE. old_size .AND. add_blk .LE. add_size) THEN\n IF (add_ip(1, add_blk) .EQ. old_row_i(old_blk) &\n .AND. add_ip(2, add_blk) .EQ. old_col_i(old_blk)) THEN\n IF (debug_mod) THEN\n WRITE (*, *) \"Duplicate block! addblk\", &\n add_blk, \"oldblk\", old_blk\n END IF\n END IF\n ! Rows come first\n IF (add_ip(1, add_blk) .LT. old_row_i(old_blk)) THEN\n merge_from_whom = 2\n ELSEIF (add_ip(1, add_blk) .GT. old_row_i(old_blk)) THEN\n merge_from_whom = 1\n ELSE ! Same rows, so now come the columns\n IF (add_ip(2, add_blk) .LT. old_col_i(old_blk)) THEN\n ! Merges from the add array\n merge_from_whom = 2\n ELSEIF (add_ip(2, add_blk) .GT. old_col_i(old_blk)) THEN\n ! Merges from the old array\n merge_from_whom = 1\n ELSE\n ! Merge from old array and skip one in the new array\n IF (debug_mod) THEN\n WRITE (*, *) \"Duplicate, keeping old\", &\n add_ip(1, add_blk), add_ip(2, add_blk)\n END IF\n merge_from_whom = 1\n add_blk = add_blk + 1\n END IF\n END IF\n ELSE\n IF (add_blk .LE. add_size) THEN\n ! Merges from the add array\n merge_from_whom = 2\n ELSEIF (old_blk .LE. old_size) THEN\n ! Merges from the old array\n merge_from_whom = 1\n ELSE\n ! Hmmm, nothing to merge...\n merge_from_whom = 0\n !WRITE(*,*)\"Ran out of data to merge\"\n END IF\n END IF\n SELECT CASE (merge_from_whom)\n CASE (2)\n ! Merges from the add array\n new_row_i(new_blk) = add_ip(1, add_blk)\n new_col_i(new_blk) = add_ip(2, add_blk)\n new_blk_p(new_blk) = add_ip(3, add_blk)\n !IF (multidata) new_blk_d(new_blk) = add_ip(4, add_blk)\n IF (PRESENT(added_nblks)) added_nblks = added_nblks + 1\n IF (PRESENT(added_sizes)) THEN\n new_blk_p(new_blk) = bp\n bp = bp + added_sizes(add_blk)\n added_size = added_size + added_sizes(add_blk)\n END IF\n add_blk = add_blk + 1\n CASE (1)\n ! Merges from the old array\n new_row_i(new_blk) = old_row_i(old_blk)\n new_col_i(new_blk) = old_col_i(old_blk)\n new_blk_p(new_blk) = old_blk_p(old_blk)\n IF (multidata) new_blk_p(new_blk) = old_blk_d(old_blk)\n old_blk = old_blk + 1\n CASE DEFAULT\n !WRITE(*,*)\"Nothing to merge\"\n END SELECT\n new_blk = new_blk + 1\n END DO\n END IF\n ELSE\n new_row_i(1:old_size) = old_row_i(1:old_size)\n new_col_i(1:old_size) = old_col_i(1:old_size)\n new_blk_p(1:old_size) = old_blk_p(1:old_size)\n IF (multidata) new_blk_d(1:old_size) = old_blk_d(1:old_size)\n END IF\n IF (debug_mod) THEN\n WRITE (*, *) \" New array\"\n DO i = 1, new_size\n WRITE (*, '(4(2X,I7))') new_row_i(i), new_col_i(i), new_blk_p(i)\n END DO\n END IF\n END SUBROUTINE merge_index_arrays\n\n SUBROUTINE dbcsr_make_index_local_row(matrix)\n !! Converts BCSR global row index to local row index.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix for which to make canonical index\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_index_local_row'\n\n INTEGER :: error_handle, lrow, nlocal_rows, &\n ntotal_rows, prow\n INTEGER, ALLOCATABLE, DIMENSION(:) :: local_row_p\n INTEGER, DIMENSION(:), POINTER :: local_rows\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n IF (.NOT. ASSOCIATED(matrix%row_p)) &\n DBCSR_ABORT(\"The row index must be initialized.\")\n IF (matrix%bcsc) &\n DBCSR_ABORT(\"Not support for BCSC yet.\")\n !\n prow = matrix%index(dbcsr_slot_home_vprow)\n IF (prow .LT. 0) THEN\n prow = matrix%index(dbcsr_slot_home_prow)\n END IF\n nlocal_rows = matrix%nblkrows_local\n ALLOCATE (local_row_p(nlocal_rows + 1))\n ! The existing row_p is converted from an indexing array into a\n ! counting array. Because it is later discarded, the counting is\n ! done in-place.\n ntotal_rows = matrix%nblkrows_total\n CALL dbcsr_count_row_index(matrix%row_p, ntotal_rows)\n ! We first have to find the local rows for the given prow.\n local_rows => array_data(matrix%local_rows)\n IF (SIZE(local_rows) /= nlocal_rows) &\n DBCSR_ABORT(\"Mismatch in the number of local rows.\")\n ! The counts are mapped to local rows,\n DO lrow = 1, nlocal_rows\n local_row_p(lrow) = matrix%row_p(local_rows(lrow))\n END DO\n IF (SUM(matrix%row_p(1:ntotal_rows)) /= SUM(local_row_p(1:nlocal_rows))) &\n DBCSR_ABORT(\"Inconsistent row counts. Perhaps non-local rows contain data?.\")\n ! then converted into an index.\n CALL dbcsr_build_row_index(local_row_p, nlocal_rows)\n ! The local row index replaces the global one.\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_row_p)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_row_p, DATA=local_row_p)\n ! Finally the matrix is designated as having a local-based index.\n matrix%local_indexing = .TRUE.\n IF (careful_mod) THEN\n IF (array_size(matrix%local_rows) /= nlocal_rows) &\n DBCSR_ABORT(\"Inconsistent local row counts.\")\n IF (array_size(matrix%global_rows) /= ntotal_rows) &\n DBCSR_ABORT(\"Inconsistent global row counts.\")\n IF (array_size(matrix%global_rows) .EQ. 0) THEN\n IF (nlocal_rows /= 0) &\n DBCSR_ABORT(\"Invalid number of local or global rows.\")\n END IF\n END IF\n DEALLOCATE (local_row_p)\n !\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_make_index_local_row\n\n SUBROUTINE dbcsr_make_index_list(matrix, thread_redist)\n !! Converts BCSR index into list indices (similar to work matrices)\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix for which to make canonical index\n LOGICAL, INTENT(IN) :: thread_redist\n !! make a thread subdistribution\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_index_list'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: blk, error_handle, ithread, my_cnt, &\n nblks, nrows, nthreads\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: blki\n INTEGER, DIMENSION(0) :: zero_len_array\n INTEGER, DIMENSION(:), POINTER :: global_cols, local_rows, td, thr_c\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n IF (.NOT. ASSOCIATED(matrix%row_p)) &\n DBCSR_ABORT(\"The row index must be initialized.\")\n IF (matrix%list_indexing) &\n DBCSR_ABORT(\"List index already exists?\")\n IF (matrix%bcsc) &\n DBCSR_ABORT(\"Not support for BCSC yet.\")\n IF (matrix%nblks /= SIZE(matrix%col_i)) &\n DBCSR_ABORT(\"Block count mismatch.\")\n IF (matrix%nblks /= SIZE(matrix%blk_p)) &\n DBCSR_ABORT(\"Block count mismatch\")\n !\n IF (matrix%local_indexing) THEN\n IF (SIZE(matrix%row_p) - 1 /= matrix%nblkrows_local) &\n DBCSR_ABORT(\"Local row index incorrectly sized.\")\n ELSE\n IF (SIZE(matrix%row_p) - 1 /= matrix%nblkrows_total) &\n DBCSR_ABORT(\"Global row index incorrectly sized\")\n END IF\n !\n matrix%list_indexing = .TRUE.\n !\n IF (matrix%local_indexing) THEN\n nrows = matrix%nblkrows_local\n ELSE\n nrows = matrix%nblkrows_total\n END IF\n !\n nblks = matrix%nblks\n ALLOCATE (blki(3, nblks))\n CALL dbcsr_expand_row_index_2d(matrix%row_p, blki, nrows, 1)\n IF (matrix%local_indexing) THEN\n global_cols => array_data(matrix%global_cols)\n ! If local indexing is enabled, then the rows but not the\n ! columns are already localized\n IF (dbg) THEN\n WRITE (*, *) routineN//\" Making local columns\"\n WRITE (*, '(10(1X,i7))') global_cols\n WRITE (*, *) 'local'\n WRITE (*, '(10(1X,i7))') array_data(matrix%local_cols)\n END IF\n DO blk = 1, nblks\n blki(2, blk) = global_cols(matrix%col_i(blk))\n blki(3, blk) = matrix%blk_p(blk)\n END DO\n ELSE\n IF (dbg) WRITE (*, *) routineN//\" Not making local columns\"\n DO blk = 1, nblks\n blki(2, blk) = matrix%col_i(blk)\n blki(3, blk) = matrix%blk_p(blk)\n END DO\n END IF\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_row_p)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_col_i)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_blk_p)\n nthreads = 0\n!$ nthreads = OMP_GET_MAX_THREADS()\n !\n ! Reshuffle according to threads\n IF (nthreads .GT. 0 .AND. thread_redist) THEN\n td => array_data(dbcsr_distribution_thread_dist(dbcsr_distribution(matrix)))\n IF (matrix%local_indexing) THEN\n local_rows => array_data(matrix%local_rows)\n END IF\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP PRIVATE (my_cnt, ithread, blk) &\n!$OMP SHARED (td, blki, nthreads, thr_c, nblks, matrix,local_rows)\n !\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n!$OMP MASTER\n!$ nthreads = OMP_GET_NUM_THREADS()\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_thr_c, &\n reservation=nthreads + 1, extra=3*nblks)\n thr_c => matrix%thr_c\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_coo_l, &\n reservation=3*nblks)\n!$OMP END MASTER\n!$OMP BARRIER\n my_cnt = 0\n IF (matrix%local_indexing) THEN\n my_cnt = COUNT(td(local_rows(blki(1, :))) .EQ. ithread)\n ELSE\n my_cnt = COUNT(td(blki(1, :)) .EQ. ithread)\n END IF\n !DO blk = 1, nblks\n ! IF (td(blki(1, blk)) .EQ. ithread) my_cnt = my_cnt+1\n !ENDDO\n thr_c(ithread + 1) = my_cnt\n!$OMP BARRIER\n!$OMP MASTER\n CALL dbcsr_build_row_index_inplace(thr_c, nthreads)\n!$OMP END MASTER\n!$OMP BARRIER\n my_cnt = (thr_c(ithread + 1) + 1)*3 - 2\n IF (matrix%local_indexing) THEN\n DO blk = 1, nblks\n IF (td(local_rows(blki(1, blk))) .EQ. ithread) THEN\n matrix%coo_l(my_cnt:my_cnt + 2) = blki(1:3, blk)\n my_cnt = my_cnt + 3\n END IF\n END DO\n ELSE\n DO blk = 1, nblks\n IF (td(blki(1, blk)) .EQ. ithread) THEN\n matrix%coo_l(my_cnt:my_cnt + 2) = blki(1:3, blk)\n my_cnt = my_cnt + 3\n END IF\n END DO\n END IF\n!$OMP END PARALLEL\n ELSE\n ! Small price to pay for avoiding infinite recursions.\n DO blk = 2, nblks\n IF (blki(1, blk) .EQ. blki(1, blk - 1) .AND. blki(2, blk) .EQ. blki(2, blk - 1)) THEN\n ! Weird assertion to give some idea of the two blocks.\n IF (-blki(1, blk) /= blki(2, blk)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"Should not have duplicate matrix blocks. (-row, col) is duplicated.\")\n END IF\n END DO\n !\n IF (nblks > 0) THEN\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_coo_l, &\n DATA=RESHAPE(blki, (/3*nblks/)))\n ELSE\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_coo_l, &\n DATA=zero_len_array)\n END IF\n END IF\n\n DEALLOCATE (blki)\n !\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_make_index_list\n\n SUBROUTINE dbcsr_index_compact(matrix)\n !! Compacts an index.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix for which to make canonical index\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_index_compact'\n\n INTEGER :: error_handle, new_size, size_blk_p, &\n size_col_i, size_coo_l, size_row_p, &\n size_thr_c\n INTEGER, ALLOCATABLE, DIMENSION(:) :: blk_p, col_i, coo_l, meta, row_p, thr_c\n LOGICAL :: compact, has_blk_p, has_col_i, &\n has_coo_l, has_row_p, has_thr_c\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n ! Ensures the index pointers are set.\n CALL dbcsr_repoint_index(matrix)\n ! Check that compaction is even needed.\n has_row_p = ASSOCIATED(matrix%row_p)\n IF (has_row_p) THEN\n size_row_p = SIZE(matrix%row_p)\n ELSE\n size_row_p = 0\n END IF\n has_col_i = ASSOCIATED(matrix%col_i)\n IF (has_col_i) THEN\n size_col_i = SIZE(matrix%col_i)\n ELSE\n size_col_i = 0\n END IF\n has_blk_p = ASSOCIATED(matrix%blk_p)\n IF (has_blk_p) THEN\n size_blk_p = SIZE(matrix%blk_p)\n ELSE\n size_blk_p = 0\n END IF\n has_thr_c = ASSOCIATED(matrix%thr_c)\n IF (has_thr_c) THEN\n size_thr_c = SIZE(matrix%thr_c)\n ELSE\n size_thr_c = 0\n END IF\n has_coo_l = ASSOCIATED(matrix%coo_l)\n IF (has_coo_l) THEN\n size_coo_l = SIZE(matrix%coo_l)\n ELSE\n size_coo_l = 0\n END IF\n !\n new_size = dbcsr_num_slots + &\n size_row_p + size_col_i + size_blk_p + size_thr_c + size_coo_l\n compact = new_size .LT. SIZE(matrix%index)\n IF (compact) THEN\n ! Store old index arrays.\n IF (has_row_p) THEN\n ALLOCATE (row_p(size_row_p))\n row_p(:) = matrix%row_p(:)\n END IF\n IF (has_col_i) THEN\n ALLOCATE (col_i(size_col_i))\n col_i(:) = matrix%col_i(:)\n END IF\n IF (has_blk_p) THEN\n ALLOCATE (blk_p(size_blk_p))\n blk_p(:) = matrix%blk_p(:)\n END IF\n IF (has_thr_c) THEN\n ALLOCATE (thr_c(size_thr_c))\n thr_c(:) = matrix%thr_c(:)\n END IF\n IF (has_coo_l) THEN\n ALLOCATE (coo_l(size_coo_l))\n coo_l(:) = matrix%coo_l(:)\n END IF\n ALLOCATE (meta(dbcsr_num_slots))\n meta(:) = matrix%index(1:dbcsr_num_slots)\n ! Clear the index.\n CALL memory_deallocate(matrix%index, &\n dbcsr_get_index_memory_type(matrix))\n NULLIFY (matrix%index)\n CALL memory_allocate(matrix%index, new_size, &\n dbcsr_get_index_memory_type(matrix))\n !\n ! Now copy the old index arrays into the index. We must not\n ! copy the positions of the old pointers.\n matrix%index(1:dbcsr_meta_size) = meta(1:dbcsr_meta_size)\n matrix%index(dbcsr_meta_size + 1:) = 0\n matrix%index(dbcsr_slot_size) = dbcsr_num_slots\n IF (has_thr_c) THEN\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_thr_c, thr_c)\n DEALLOCATE (thr_c)\n END IF\n IF (has_row_p) THEN\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_row_p, row_p)\n DEALLOCATE (row_p)\n END IF\n IF (has_col_i) THEN\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_col_i, col_i)\n DEALLOCATE (col_i)\n END IF\n IF (has_blk_p) THEN\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_blk_p, blk_p)\n DEALLOCATE (blk_p)\n END IF\n IF (has_coo_l) THEN\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_coo_l, coo_l)\n DEALLOCATE (coo_l)\n END IF\n DEALLOCATE (meta)\n IF (careful_mod) THEN\n ! This is pretty strong but it should be true.\n IF (matrix%index(dbcsr_slot_size) /= new_size) &\n DBCSR_ABORT(\"Unexpected index size.\")\n IF (SIZE(matrix%index) /= new_size) &\n DBCSR_ABORT(\"Unexpected index size.\")\n END IF\n CALL dbcsr_repoint_index(matrix)\n END IF\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_index_compact\n\n SUBROUTINE dbcsr_index_checksum(matrix, checksum)\n !! Calculates the checksum of an index.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix for which to make canonical index\n INTEGER, INTENT(OUT) :: checksum\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_index_checksum'\n\n INTEGER :: error_handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n !\n checksum = joaat_hash((/joaat_hash(matrix%row_p), &\n joaat_hash(matrix%col_i), &\n joaat_hash(matrix%blk_p)/))\n !\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_index_checksum\n\n FUNCTION dbcsr_has_local_row_index(matrix) RESULT(local_indexing)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n LOGICAL :: local_indexing\n\n local_indexing = matrix%local_indexing\n END FUNCTION dbcsr_has_local_row_index\n\nEND MODULE dbcsr_index_operations\n" }, { "path": "src/block/dbcsr_iterator_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_iterator_operations\n !! DBCSR iterator operations\n USE dbcsr_array_types, ONLY: array_data, &\n array_exists\n USE dbcsr_data_methods, ONLY: dbcsr_data_hold, &\n dbcsr_data_release, &\n dbcsr_data_set_pointer, &\n dbcsr_get_data\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_has_threads, &\n dbcsr_distribution_num_threads, &\n dbcsr_distribution_thread_dist\n USE dbcsr_methods, ONLY: dbcsr_distribution\n USE dbcsr_ptr_util, ONLY: pointer_rank_remap2\n USE dbcsr_string_utilities, ONLY: stringify\n USE dbcsr_toollib, ONLY: swap\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_distribution_obj, &\n dbcsr_iterator, &\n dbcsr_scalar_type, &\n dbcsr_type\n USE dbcsr_kinds, ONLY: real_4, &\n real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads, omp_in_parallel\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_iterator_operations'\n\n INTEGER, PRIVATE, POINTER, SAVE :: common_int_pointer\n\n PUBLIC :: dbcsr_iterator_start, dbcsr_iterator_stop\n\n PUBLIC :: dbcsr_iterator_blocks_left, dbcsr_iterator_next_block\n\n INTERFACE dbcsr_iterator_next_block\n MODULE PROCEDURE iterator_next_block_index, &\n iterator_next_area_block\n MODULE PROCEDURE iterator_next_2d_block_d, &\n iterator_next_2d_block_s, &\n iterator_next_2d_block_c, &\n iterator_next_2d_block_z, &\n iterator_next_1d_block_d, &\n iterator_next_1d_block_s, &\n iterator_next_1d_block_c, &\n iterator_next_1d_block_z\n END INTERFACE\n\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n INTEGER, PARAMETER, PRIVATE :: rpslot_owner = 1\n INTEGER, PARAMETER, PRIVATE :: rpslot_addblks = 2\n INTEGER, PARAMETER, PRIVATE :: rpslot_addoffset = 3\n INTEGER, PARAMETER, PRIVATE :: rpslot_oldblks = 4\n INTEGER, PARAMETER, PRIVATE :: rpslot_oldoffset = 5\n INTEGER, PARAMETER, PRIVATE :: rpslot_totaloffset = 6\n INTEGER, PARAMETER, PRIVATE :: rpnslots = 6\n\n LOGICAL, PARAMETER, PRIVATE :: detailed_timing = .FALSE.\n\n TYPE block_parameters\n LOGICAL :: tr = .FALSE.\n INTEGER :: logical_rows = -1, logical_cols = -1\n INTEGER :: offset = -1, nze = -1\n END TYPE block_parameters\n\n TYPE dgemm_join\n INTEGER :: p_a = -1, p_b = -1, p_c = -1\n INTEGER :: last_k = -1, last_n = -1\n TYPE(dbcsr_scalar_type) :: alpha = dbcsr_scalar_type(), beta = dbcsr_scalar_type()\n END TYPE dgemm_join\n\nCONTAINS\n\n! **************************************************************************************************\n! Iterator functions\n! **************************************************************************************************\n\n SUBROUTINE dbcsr_iterator_start(iterator, matrix, shared, dynamic, &\n dynamic_byrows, contiguous_pointers, read_only)\n !! Sets up an iterator\n !!\n !! Contiguous pointers\n !! Contiguous pointers may incur reallocation penalties but enable quick\n !! passing of arrays to routines with unspecified interfaces (i.e., direct\n !! calls to BLACS or MPI).\n !!\n !! Threading\n !! The TYPE(dbcsr_iterator) variable should be thread-private.\n !!\n !! The iterator has several modes of operation when used with\n !! OpenMP. Two options can be set to influence the behavior.\n !!\n !! Threading: shared vs. non-shared\n !! The \"shared\" flag specifies that several threads will be\n !! iterating through the same matrix.\n !! - Sharing is the default when called from an active parallel\n !! region. In the shared mode no two threads will receive the\n !! same block; i.e., the work is split among the threads.\n !! - If each (or one) thread needs to iterator through all blocks\n !! then shared should be set to .FALSE.. (E.g., when called\n !! from an enclosing MASTER region or when each thread has its\n !! own matrix.)\n !! - It is safe to use an iterator in non-shared mode with only\n !! one thread. No thread synchronization constructs are used\n !! in this case)\n !!\n !! Threading in shared mode\n !! When in shared mode there are three possibilities to select\n !! how the blocks are distributed to the threads.\n !!
\n !!
Thread distribution
\n !!
The default is to use the thread distribution. The thread\n !! distribution statically maps rows to threads and should be\n !! used whenever retaining a consistent mapping among\n !! subsequent iterations is important.
\n !!
Dynamic scheduling
\n !!
If the dynamic flag is .TRUE., then blocks are given to\n !! threads dynamically. By default the assignment is grouped\n !! by rows (to minimize synchronization); however, if the\n !! dynamic_byrows flag is .FALSE. then every block is\n !! assigned dynamically.
\n\n TYPE(dbcsr_iterator), INTENT(OUT) :: iterator\n !! the iterator\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! DBCSR matrix\n LOGICAL, INTENT(IN), OPTIONAL :: shared, dynamic, dynamic_byrows, &\n contiguous_pointers, read_only\n !! The matrix is shared between several iterators. Default is .TRUE.\n !! Threads are given blocks regardless of the thread distribution; default is .FALSE.\n !! Threads are given blocks regardless of the thread distribution, but still grouped by rows; default is .FALSE.\n !! Whether returned pointers need to be contiguous; default is FALSE.\n !! User promises not to change returned data; default is FALSE\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_iterator_start'\n\n INTEGER :: error_handle\n TYPE(dbcsr_distribution_obj) :: dist\n\n! ---------------------------------------------------------------------------\n\n MARK_USED(dynamic) ! only used with OMP\n\n CALL timeset(routineN, error_handle)\n iterator%shared = .TRUE.\n!$ iterator%shared = omp_in_parallel()\n IF (PRESENT(shared)) iterator%shared = shared\n iterator%dynamic = .TRUE.\n!$ iterator%dynamic = .FALSE.\n!$ IF (PRESENT(dynamic)) iterator%dynamic = dynamic\n IF (PRESENT(dynamic_byrows)) THEN\n iterator%dynamic_byrows = dynamic_byrows\n IF (iterator%dynamic_byrows) iterator%dynamic = .TRUE.\n ELSE\n iterator%dynamic_byrows = iterator%dynamic\n!$ iterator%dynamic_byrows = iterator%dynamic\n END IF\n!$ IF (.NOT. iterator%shared) THEN\n!$ iterator%dynamic = .FALSE.\n!$ END IF\n dist = dbcsr_distribution(matrix)\n!$ IF (.NOT. dbcsr_distribution_has_threads(dist)) &\n!$ DBCSR_WARN(\"Thread distribution should be defined for OpenMP.\")\n IF (.NOT. iterator%dynamic .AND. .NOT. dbcsr_distribution_has_threads(dist)) &\n DBCSR_ABORT(\"Thread distribution must be defined for non-dynamic iterator.\")\n!$ IF (omp_in_parallel() .AND. omp_get_num_threads() /= dbcsr_distribution_num_threads(dist)) &\n!$ CALL dbcsr_abort(__LOCATION__, &\n!$ \"Number of threads has changed from \"// &\n!$ stringify(dbcsr_distribution_num_threads(dist))// &\n!$ \" to \"//stringify(omp_get_num_threads())//\"!\")\n !Synchronize the positions\n NULLIFY (iterator%common_pos)\n IF (iterator%dynamic) THEN\n ! All threads point into the master thread's data space\n ! (temporarily using the common_int_pointer variable). This is\n ! not the nicest OpenMP way of doing this but it is also not\n ! explicitly forbidden.\n !\n!$OMP BARRIER\n!$OMP MASTER\n ALLOCATE (iterator%common_pos)\n common_int_pointer => iterator%common_pos\n common_int_pointer = 0\n!$OMP FLUSH (common_int_pointer)\n!$OMP END MASTER\n!$OMP BARRIER\n IF (.NOT. ASSOCIATED(iterator%common_pos)) THEN\n iterator%common_pos => common_int_pointer\n END IF\n!$OMP BARRIER\n END IF\n !\n IF (PRESENT(contiguous_pointers)) THEN\n iterator%contiguous_pointers = contiguous_pointers\n ELSE\n iterator%contiguous_pointers = .TRUE.\n END IF\n IF (PRESENT(read_only)) THEN\n iterator%read_only = read_only\n ELSE\n iterator%read_only = .FALSE.\n END IF\n iterator%row = 0\n iterator%pos = 0\n iterator%rbs => array_data(matrix%row_blk_size)\n iterator%cbs => array_data(matrix%col_blk_size)\n iterator%roff => array_data(matrix%row_blk_offset)\n iterator%coff => array_data(matrix%col_blk_offset)\n\n iterator%local_indexing = matrix%local_indexing\n !IF(iterator%local_indexing .AND. .NOT. iterator%dynamic) &\n ! DBCSR_ABORT(\"Locally-indexed matrices can only have a dynamic iterator.\")\n IF (iterator%local_indexing .AND. .NOT. array_exists(matrix%local_rows)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"Local rows mapping array should exist when local indexing is used.\")\n IF (iterator%local_indexing .AND. .NOT. array_exists(matrix%global_rows)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"Global rows mapping array should exist when local indexing is used.\")\n iterator%global_rows => array_data(matrix%global_rows)\n iterator%local_rows => array_data(matrix%local_rows)\n\n iterator%transpose = .FALSE. !matrix%transpose\n iterator%nblks = matrix%nblks\n IF (iterator%transpose) THEN\n iterator%nblkrows_total = matrix%nblkcols_total\n ELSE\n iterator%nblkrows_total = matrix%nblkrows_total\n END IF\n\n iterator%row_p => matrix%row_p\n iterator%col_i => matrix%col_i\n iterator%blk_p => matrix%blk_p\n!$OMP CRITICAL (crit_data)\n iterator%data_area = matrix%data_area\n CALL dbcsr_data_hold(iterator%data_area)\n!$OMP END CRITICAL (crit_data)\n iterator%row_size = 0\n IF (.NOT. iterator%dynamic) THEN\n iterator%tdist => array_data(dbcsr_distribution_thread_dist(dist))\n ELSE\n NULLIFY (iterator%tdist)\n END IF\n!$ IF (iterator%dynamic) THEN\n!$OMP SINGLE\n!$ IF (iterator%dynamic_byrows) THEN\n!$ iterator%common_pos = omp_get_num_threads()\n!$ END IF\n!$OMP END SINGLE\n!$ CALL dbcsr_iterator_seek(iterator, omp_get_thread_num() + 1)\n!$ ELSE\n CALL dbcsr_iterator_seek(iterator, 1)\n!$ END IF\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_iterator_start\n\n SUBROUTINE dbcsr_iterator_stop(iterator)\n !! Stops up an iterator\n\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n !! the iterator\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_iterator_stop'\n\n INTEGER :: error_handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n iterator%row = 0\n iterator%pos = 0\n\n NULLIFY (iterator%tdist)\n!$OMP CRITICAL (crit_data)\n CALL dbcsr_data_release(iterator%data_area)\n!$OMP END CRITICAL (crit_data)\n IF (iterator%dynamic) THEN\n!$OMP BARRIER\n!$OMP MASTER\n common_int_pointer => iterator%common_pos\n DEALLOCATE (common_int_pointer)\n!$OMP FLUSH (common_int_pointer)\n!$OMP END MASTER\n NULLIFY (iterator%common_pos)\n!$OMP BARRIER\n END IF\n IF (iterator%local_indexing) THEN\n NULLIFY (iterator%local_rows)\n NULLIFY (iterator%global_rows)\n END IF\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_iterator_stop\n\n PURE SUBROUTINE find_first_valid_block(pos, maxpos, blk_p)\n !! Finds the first valid block, inclusive from the current position.\n !! If there is no valid block, pos is set to 0\n\n INTEGER, INTENT(INOUT) :: pos\n !! input: current position; output: next valid position or 0\n INTEGER, INTENT(IN) :: maxpos\n !! maximal allowed position\n INTEGER, DIMENSION(:), INTENT(IN) :: blk_p\n !! block pointers, used to check validity\n\n! ---------------------------------------------------------------------------\n!IF (pos .LT. 1) pos = 1\n\n DO WHILE (pos .LE. maxpos)\n IF (blk_p(pos) .EQ. 0) THEN\n pos = pos + 1\n ELSE\n EXIT\n END IF\n END DO\n IF (pos .GT. maxpos) pos = 0\n END SUBROUTINE find_first_valid_block\n\n PURE SUBROUTINE find_proper_row(pos, row, maxrows, row_p)\n !! Finds the row to which the current block belongs\n !! If there is no valid block, pos is set to 0\n\n INTEGER, INTENT(IN) :: pos\n !! current position\n INTEGER, INTENT(INOUT) :: row\n !! input: current row; output: the row corresponding to the position\n INTEGER, INTENT(IN) :: maxrows\n !! maxmimum row\n INTEGER, DIMENSION(:), INTENT(IN) :: row_p\n !! row pointers\n\n! ---------------------------------------------------------------------------\n\n IF (pos .GT. 0) THEN\n IF (row .LT. 1) THEN\n row = 1\n ELSEIF (row .GT. maxrows) THEN\n row = maxrows\n END IF\n DO WHILE (row_p(row + 1) .LT. pos)\n row = row + 1\n IF (row .GT. maxrows) THEN\n row = 0\n EXIT\n END IF\n END DO\n ELSE\n row = 0\n END IF\n END SUBROUTINE find_proper_row\n\n PURE SUBROUTINE find_proper_position(pos, row, maxpos, maxrows, &\n blk_p, row_p, tdist, tid, local2global)\n !! Finds the next proper position accounting for threads\n !! First time: pos and row are set to 0.\n !! If there is no valid block, pos is set to 0\n\n INTEGER, INTENT(INOUT) :: pos, row\n !! current position and updated position\n !! input: current row; output: the row corresponding to the next proper position\n INTEGER, INTENT(IN) :: maxpos, maxrows\n !! maximum allowable position\n !! maxmimum row\n INTEGER, DIMENSION(:), INTENT(IN) :: blk_p, row_p\n !! block pointercs\n !! row pointers\n INTEGER, DIMENSION(1:maxrows), INTENT(IN), &\n OPTIONAL :: tdist\n !! thread distribution\n INTEGER, INTENT(IN), OPTIONAL :: tid\n !! my thread number\n INTEGER, DIMENSION(1:*), INTENT(IN), OPTIONAL :: local2global\n\n LOGICAL :: local, row_inrange, row_ok\n\n! ---------------------------------------------------------------------------\n\n MARK_USED(tdist) ! only used with OMP\n MARK_USED(tid) ! only used with OMP\n\n local = PRESENT(local2global)\n IF (maxpos .GE. 1) THEN\n !IF (pos.EQ.0) pos = 1\n CALL find_first_valid_block(pos, maxpos, blk_p)\n CALL find_proper_row(pos, row, maxrows, row_p)\n row_inrange = row .NE. 0 .AND. row .LE. maxrows\n row_ok = row_inrange\n!$ IF (present(tdist) .AND. PRESENT(tid) .AND. row_inrange) THEN\n!$ IF (.NOT. local) THEN\n!$ row_ok = tdist(row) .EQ. tid\n!$ ELSE\n!$ row_ok = tdist(local2global(row)) .EQ. tid\n!$ END IF\n!$ END IF\n DO WHILE (row_inrange .AND. .NOT. row_ok)\n row = row + 1\n pos = row_p(row) + 1\n IF (row .GT. maxrows) THEN\n row = 0\n EXIT\n END IF\n CALL find_first_valid_block(pos, maxpos, blk_p)\n CALL find_proper_row(pos, row, maxrows, row_p)\n row_inrange = row .NE. 0\n row_ok = row_inrange\n!$ IF (present(tdist) .AND. PRESENT(tid) .AND. row_inrange) THEN\n!$ IF (.NOT. local) THEN\n!$ row_ok = tdist(row) .EQ. tid\n!$ ELSE\n!$ row_ok = tdist(local2global(row)) .EQ. tid\n!$ END IF\n!$ END IF\n END DO\n IF (row .EQ. 0) pos = 0\n ELSE\n pos = 0\n row = 0\n END IF\n END SUBROUTINE find_proper_position\n\n SUBROUTINE iterator_advance(iterator)\n !! Advances to the next block\n\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n !! the iterator\n\n INTEGER :: ithread, my_old_row, p\n LOGICAL :: advance, jumped_row\n\n! ---------------------------------------------------------------------------\n\n ithread = 0\n!$ ithread = omp_get_thread_num()\n IF (iterator%dynamic .AND. iterator%shared) THEN\n IF (iterator%dynamic_byrows) THEN\n ! In this case common_row holds the last assigned row.\n !\n ! The idea is to advance in this thread's row. If it gets bumped\n ! into the next row, then we have to find the correct one.\n advance = .TRUE.\n DO WHILE (advance)\n iterator%pos = iterator%pos + 1\n my_old_row = iterator%row\n CALL find_proper_position_caller(iterator)\n jumped_row = iterator%row .GT. my_old_row\n advance = jumped_row\n IF (jumped_row) THEN\n!$OMP CRITICAL (crit_common_pos)\n ! Set the common_pos to the next available row.\n iterator%common_pos = MAX(iterator%row, iterator%common_pos + 1)\n iterator%row = iterator%common_pos\n!$OMP END CRITICAL (crit_common_pos)\n IF (iterator%row .GT. iterator%nblkrows_total) THEN\n iterator%pos = 0\n iterator%row = 0\n advance = .FALSE.\n ELSE\n ! To be incremented in the next loop.\n IF (.NOT. iterator%local_indexing) THEN\n iterator%pos = iterator%row_p(iterator%row)\n ELSE\n iterator%pos = iterator%row_p(iterator%global_rows(iterator%row))\n END IF\n END IF\n END IF\n END DO\n ELSE\n ! In this case common_pos holds the last-assigned block.\n !\n!$OMP CRITICAL (crit_common_pos)\n iterator%common_pos = iterator%common_pos + 1\n iterator%pos = iterator%common_pos\n CALL find_proper_position_caller(iterator)\n p = iterator%pos\n iterator%common_pos = MAX(iterator%common_pos, p)\n!$OMP END CRITICAL (crit_common_pos)\n END IF\n ELSEIF (iterator%shared) THEN\n iterator%pos = iterator%pos + 1\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n CALL find_proper_position_caller(iterator, use_ithread=ithread)\n ELSE\n iterator%pos = iterator%pos + 1\n CALL find_proper_position_caller(iterator)\n END IF\n END SUBROUTINE iterator_advance\n\n SUBROUTINE find_proper_position_caller(iterator, use_ithread)\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n INTEGER, INTENT(in), OPTIONAL :: use_ithread\n\n INTEGER :: post_pos, post_row, pre_pos, pre_row, r\n\n pre_row = iterator%row\n pre_pos = iterator%pos\n IF (.NOT. iterator%local_indexing) THEN\n IF (PRESENT(use_ithread)) THEN\n CALL find_proper_position(iterator%pos, &\n iterator%row, iterator%nblks, iterator%nblkrows_total, &\n iterator%blk_p, iterator%row_p, &\n tdist=iterator%tdist, tid=use_ithread)\n ELSE\n CALL find_proper_position(iterator%pos, &\n iterator%row, iterator%nblks, iterator%nblkrows_total, &\n iterator%blk_p, iterator%row_p)\n END IF\n ELSE\n IF (iterator%row .GT. 0) THEN\n r = iterator%global_rows(iterator%row)\n ELSE\n r = 0\n END IF\n IF (PRESENT(use_ithread)) THEN\n CALL find_proper_position(iterator%pos, &\n r, iterator%nblks, SIZE(iterator%local_rows), &\n iterator%blk_p, iterator%row_p, &\n local2global=iterator%local_rows, &\n tdist=iterator%tdist, tid=use_ithread)\n ELSE\n CALL find_proper_position(iterator%pos, &\n r, iterator%nblks, SIZE(iterator%local_rows), &\n iterator%blk_p, iterator%row_p, &\n local2global=iterator%local_rows)\n END IF\n IF (r .GT. 0) THEN\n iterator%row = iterator%local_rows(r)\n ELSE\n iterator%row = 0\n END IF\n END IF\n post_row = iterator%row\n post_pos = iterator%pos\n END SUBROUTINE find_proper_position_caller\n\n PURE SUBROUTINE update_row_info(iterator)\n !! Updates the row info stored in the iterator\n !! @note\n !! Added to handle the complexity introduced with the transpose\n !! @endnote\n\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n !! the iterator\n\n IF (iterator%row .GT. 0) THEN\n IF (iterator%transpose) THEN\n iterator%row_size = iterator%cbs(iterator%row)\n iterator%row_offset = iterator%coff(iterator%row)\n ELSE\n iterator%row_size = iterator%rbs(iterator%row)\n iterator%row_offset = iterator%roff(iterator%row)\n END IF\n END IF\n END SUBROUTINE update_row_info\n\n SUBROUTINE dbcsr_iterator_seek(iterator, row)\n !! Places the iterator to the desired row.\n\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n !! the iterator\n INTEGER, INTENT(in) :: row\n !! seek to this row\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_iterator_seek'\n\n INTEGER :: error_handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n IF (iterator%nblks .GT. 0 .AND. row .LE. iterator%nblkrows_total) THEN\n iterator%row = row\n ! This line is replaced because iterator_advance increments the block\n ! number\n !iterator%pos = iterator%row_p(row)+1\n iterator%pos = iterator%row_p(row) ! +1-1\n CALL iterator_advance(iterator)\n CALL update_row_info(iterator)\n ELSE\n iterator%row = 0\n iterator%pos = 0\n END IF\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_iterator_seek\n\n SUBROUTINE iterator_next_block_index(iterator, row, column, blk, &\n transposed, blk_p, row_size, col_size, row_offset, col_offset)\n !! Gets the index information of the next block, no data.\n\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n !! the iterator\n INTEGER, INTENT(OUT) :: row, column, blk\n !! row of the data block\n !! column of the data block\n !! block number\n LOGICAL, INTENT(OUT), OPTIONAL :: transposed\n !! whether block is transposed\n INTEGER, INTENT(OUT), OPTIONAL :: blk_p, row_size, col_size, row_offset, &\n col_offset\n !! index into block data array\n !! logical row size of block\n !! logical column size of block\n !! logical row offset of block\n !! logical column offset of block\n\n CHARACTER(len=*), PARAMETER :: routineN = 'iterator_next_block_index'\n\n INTEGER :: bp, error_handle\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n IF (iterator%pos .LE. iterator%nblks &\n .AND. iterator%pos .NE. 0) THEN\n row = iterator%row\n column = iterator%col_i(iterator%pos)\n IF (iterator%transpose) CALL swap(row, column)\n blk = iterator%pos\n IF (PRESENT(row_size)) row_size = iterator%row_size\n IF (PRESENT(col_size)) col_size = iterator%cbs(column)\n IF (PRESENT(row_offset)) row_offset = iterator%row_offset\n IF (PRESENT(col_offset)) col_offset = iterator%coff(column)\n IF (PRESENT(blk_p) .OR. PRESENT(transposed)) THEN\n bp = iterator%blk_p(iterator%pos)\n IF (PRESENT(blk_p)) blk_p = bp\n IF (PRESENT(transposed)) transposed = bp .LT. 0\n END IF\n CALL iterator_advance(iterator)\n CALL update_row_info(iterator)\n ELSE\n row = 0\n column = 0\n END IF\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE iterator_next_block_index\n\n SUBROUTINE iterator_next_area_block(iterator, row, column, block, &\n transposed, block_number, row_size, col_size, row_offset, col_offset)\n !! Gets the next data block encapsulated in an object.\n\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n !! the iterator\n INTEGER, INTENT(OUT) :: row, column\n !! row of the data block\n !! column of the data block\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: block\n !! encapsulated data\n LOGICAL, INTENT(OUT) :: transposed\n !! whether the block data is transposed\n INTEGER, INTENT(OUT), OPTIONAL :: block_number, row_size, col_size, &\n row_offset, col_offset\n !! block number\n !! logical row size of block\n !! logical column size of block\n !! logical row offset of block\n !! logical column offset of block\n\n CHARACTER(len=*), PARAMETER :: routineN = 'iterator_next_area_block'\n\n INTEGER :: blk_p, block_col_size, block_row_size, &\n bp, csize, error_handle, nze, rsize\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n\n IF (iterator%pos .LE. iterator%nblks &\n .AND. iterator%pos .NE. 0) THEN\n row = iterator%row\n column = iterator%col_i(iterator%pos)\n IF (iterator%transpose) CALL swap(row, column)\n blk_p = iterator%blk_p(iterator%pos)\n transposed = blk_p .LT. 0\n bp = ABS(blk_p)\n rsize = iterator%row_size\n csize = iterator%cbs(column)\n block_row_size = rsize\n block_col_size = csize\n nze = rsize*csize\n IF (PRESENT(row_size)) row_size = rsize\n IF (PRESENT(col_size)) col_size = csize\n IF (PRESENT(row_offset)) row_offset = iterator%row_offset\n IF (PRESENT(col_offset)) col_offset = iterator%coff(column)\n ! Redirect the encapsulated pointer to the correct pointer here.\n IF (transposed) CALL swap(rsize, csize)\n CALL dbcsr_data_set_pointer(block, rsize, csize, iterator%data_area, &\n source_lb=bp)\n IF (PRESENT(block_number)) block_number = iterator%pos\n ! Move to the next non-deleted position.\n CALL iterator_advance(iterator)\n CALL update_row_info(iterator)\n ELSE\n row = 0\n column = 0\n IF (PRESENT(block_number)) block_number = 0\n END IF\n\n IF (careful_mod) CALL timestop(error_handle)\n\n END SUBROUTINE iterator_next_area_block\n\n PURE FUNCTION dbcsr_iterator_blocks_left(iterator) RESULT(blocks_left)\n !! Returns whether there any blocks left in the iterator.\n\n TYPE(dbcsr_iterator), INTENT(IN) :: iterator\n !! the iterator\n LOGICAL :: blocks_left\n\n blocks_left = iterator%pos .NE. 0\n END FUNCTION dbcsr_iterator_blocks_left\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n SUBROUTINE iterator_next_1d_block_${nametype1}$ (iterator, row, column, block, &\n transposed, block_number, row_size, col_size, row_offset, col_offset)\n !! Gets the next data block, single/double precision real/complex\n\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n !! the iterator\n INTEGER, INTENT(OUT) :: row, column\n !! row of the data block\n !! column of the data block\n ${type1}$, DIMENSION(:), POINTER :: block\n !! pointer to the data block\n LOGICAL, INTENT(OUT) :: transposed\n !! whether the block data is transposed\n INTEGER, INTENT(OUT), OPTIONAL :: block_number\n !! block number\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size, &\n row_offset, col_offset\n !! logical row size of block\n !! logical column size of block\n\n INTEGER :: blk_p, bp, csize, nze, rsize\n\n! ---------------------------------------------------------------------------\n! If we're pointing to a valid block, return that block.\n\n IF (iterator%pos .LE. iterator%nblks &\n .AND. iterator%pos .NE. 0) THEN\n row = iterator%row\n column = iterator%col_i(iterator%pos)\n IF (iterator%transpose) CALL swap(row, column)\n blk_p = iterator%blk_p(iterator%pos)\n transposed = blk_p .LT. 0\n bp = ABS(blk_p)\n rsize = iterator%row_size\n csize = iterator%cbs(column)\n nze = rsize*csize\n IF (PRESENT(row_size)) row_size = rsize\n IF (PRESENT(col_size)) col_size = csize\n IF (PRESENT(row_offset)) row_offset = iterator%row_offset\n IF (PRESENT(col_offset)) col_offset = iterator%coff(column)\n CALL dbcsr_get_data(iterator%data_area, block, &\n lb=bp, ub=bp + nze - 1)\n IF (PRESENT(block_number)) block_number = iterator%pos\n ! Move to the next non-deleted position.\n CALL iterator_advance(iterator)\n CALL update_row_info(iterator)\n ELSE\n row = 0\n column = 0\n NULLIFY (block)\n IF (PRESENT(block_number)) block_number = 0\n END IF\n END SUBROUTINE iterator_next_1d_block_${nametype1}$\n\n SUBROUTINE iterator_next_2d_block_${nametype1}$ (iterator, row, column, &\n block, transposed, &\n block_number, row_size, col_size, row_offset, col_offset)\n !! Gets the next data block, single/double precision real/complex\n\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iterator\n !! the iterator\n INTEGER, INTENT(OUT) :: row, column\n !! row of the data block\n !! column of the data block\n ${type1}$, DIMENSION(:, :), &\n POINTER :: block\n !! pointer to the data block\n LOGICAL, INTENT(OUT) :: transposed\n !! whether the block data is transposed\n INTEGER, INTENT(OUT), OPTIONAL :: block_number\n !! block number\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size, row_offset, col_offset\n !! logical row size of block\n !! logical column size of block\n\n CHARACTER(len=*), PARAMETER :: routineN = 'iterator_next_2d_block_${nametype1}$'\n\n INTEGER :: blk_p, bp, csize, nze, rsize, &\n block_row_size, block_col_size\n ${type1}$, DIMENSION(:), POINTER :: lin_blk_p\n INTEGER :: error_handle\n\n! ---------------------------------------------------------------------------\n! If we're pointing to a valid block, return that block.\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n IF (iterator%pos .LE. iterator%nblks &\n .AND. iterator%pos .NE. 0) THEN\n row = iterator%row\n column = iterator%col_i(iterator%pos)\n IF (iterator%transpose) CALL swap(row, column)\n blk_p = iterator%blk_p(iterator%pos)\n transposed = blk_p .LT. 0\n bp = ABS(blk_p)\n rsize = iterator%row_size\n csize = iterator%cbs(column)\n block_row_size = rsize\n block_col_size = csize\n IF (PRESENT(row_size)) row_size = rsize\n IF (PRESENT(col_size)) col_size = csize\n IF (PRESENT(row_offset)) row_offset = iterator%row_offset\n IF (PRESENT(col_offset)) col_offset = iterator%coff(column)\n nze = rsize*csize\n IF (transposed) CALL swap(rsize, csize)\n CALL dbcsr_get_data(iterator%data_area, lin_blk_p, &\n lb=bp, ub=bp + nze - 1)\n CALL pointer_rank_remap2(block, rsize, csize, lin_blk_p)\n IF (PRESENT(block_number)) block_number = iterator%pos\n ! Move to the next non-deleted position.\n CALL iterator_advance(iterator)\n CALL update_row_info(iterator)\n ELSE\n row = 0\n column = 0\n NULLIFY (block)\n IF (PRESENT(block_number)) block_number = 0\n END IF\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE iterator_next_2d_block_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_iterator_operations\n" }, { "path": "src/cmake/DBCSRConfig.cmake.in", "content": "@PACKAGE_INIT@\n\ninclude(CMakeFindDependencyMacro)\n\n# the following should only be needed when building statically\n\nif (@USE_MPI@)\n set(DBCSR_USE_MPI @USE_MPI@)\n find_dependency(MPI)\nendif ()\n\nif (@USE_OPENMP@)\n set(DBCSR_USE_OPENMP @USE_OPENMP@)\n find_dependency(OpenMP)\nendif ()\n\nif (\"@USE_ACCEL@\" MATCHES \"cuda\")\n set(DBCSR_USE_ACCEL @USE_ACCEL@)\n enable_language(CUDA)\n find_dependency(CUDAToolkit)\nendif ()\n\nif (\"@USE_ACCEL@\" MATCHES \"hip\")\n set(DBCSR_USE_ACCEL @USE_ACCEL@)\n enable_language(HIP)\n find_dependency(hip)\n find_dependency(hipblas)\n find_dependency(hiprtc)\nendif ()\n\nif ((\"@USE_SMM@\" MATCHES \"libxsmm\") OR (\"@USE_ACCEL@\" MATCHES \"opencl\"))\n set(DBCSR_USE_SMM @USE_SMM@)\n find_package(PkgConfig)\n pkg_check_modules(LIBXSMM IMPORTED_TARGET GLOBAL libxsmmf)\n if (@USE_OPENMP@)\n pkg_check_modules(LIBXSMMEXT IMPORTED_TARGET GLOBAL libxsmmext)\n endif ()\nendif ()\n\ninclude(\"${CMAKE_CURRENT_LIST_DIR}/DBCSRTargets.cmake\")\n" }, { "path": "src/core/PACKAGE", "content": "{\n\"description\": \"Core DBCSR matrix datastructure\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../acc\", \"../acc/cuda\", \"../acc/hip\", \"../mpi\", \"../base\", \"../data\", \"../mm\", \"../utils\"],\n}\n" }, { "path": "src/core/dbcsr_array_types.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_array_types\n !! Array objects with reference counting.\n\n#include \"base/dbcsr_base_uses.f90\"\n#if TO_VERSION(1, 11) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n USE libxsmm, ONLY: libxsmm_diff\n# define PURE_ARRAY_EQUALITY\n#else\n# define PURE_ARRAY_EQUALITY PURE\n#endif\n\n IMPLICIT NONE\n PRIVATE\n\n PUBLIC :: array_i1d_obj\n PUBLIC :: array_new, &\n array_hold, &\n array_release, &\n array_nullify, &\n array_exists\n PUBLIC :: array_data, &\n array_size, &\n array_equality\n PUBLIC :: array_get\n\n INTERFACE array_new\n MODULE PROCEDURE array_new_i1d, array_new_i1d_lb\n END INTERFACE\n INTERFACE array_hold\n MODULE PROCEDURE array_hold_i1d\n END INTERFACE\n INTERFACE array_release\n MODULE PROCEDURE array_release_i1d\n END INTERFACE\n INTERFACE array_nullify\n MODULE PROCEDURE array_nullify_i1d\n END INTERFACE\n INTERFACE array_exists\n MODULE PROCEDURE array_exists_i1d\n END INTERFACE\n INTERFACE array_data\n MODULE PROCEDURE array_data_i1d\n END INTERFACE\n INTERFACE array_size\n MODULE PROCEDURE array_size_i1d\n END INTERFACE\n INTERFACE array_equality\n MODULE PROCEDURE array_equality_i1\n MODULE PROCEDURE array_equality_i1d\n END INTERFACE\n INTERFACE array_get\n MODULE PROCEDURE array_get_i1d\n MODULE PROCEDURE array_get_i1\n END INTERFACE\n\n TYPE array_i1d_type\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: DATA => Null()\n INTEGER :: refcount = 0\n END TYPE array_i1d_type\n\n TYPE array_i1d_obj\n TYPE(array_i1d_type), POINTER :: low => Null()\n END TYPE array_i1d_obj\n\nCONTAINS\n\n SUBROUTINE array_new_i1d(array, DATA, gift)\n TYPE(array_i1d_obj), INTENT(OUT) :: array\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: DATA\n LOGICAL, INTENT(IN), OPTIONAL :: gift\n\n INTEGER :: lb, ub\n LOGICAL :: g\n\n ALLOCATE (array%low)\n array%low%refcount = 1\n g = .FALSE.\n IF (PRESENT(gift)) g = gift\n IF (g) THEN\n array%low%data => DATA\n NULLIFY (DATA)\n ELSE\n lb = LBOUND(DATA, 1)\n ub = UBOUND(DATA, 1)\n ALLOCATE (array%low%data(lb:ub))\n array%low%data(:) = DATA(:)\n END IF\n END SUBROUTINE array_new_i1d\n\n SUBROUTINE array_new_i1d_lb(array, DATA, lb)\n TYPE(array_i1d_obj), INTENT(OUT) :: array\n INTEGER, DIMENSION(:), INTENT(IN) :: DATA\n INTEGER, INTENT(IN) :: lb\n\n INTEGER :: ub\n\n ALLOCATE (array%low)\n array%low%refcount = 1\n ub = lb + SIZE(DATA) - 1\n ALLOCATE (array%low%data(lb:ub))\n array%low%data(:) = DATA(:)\n END SUBROUTINE array_new_i1d_lb\n\n SUBROUTINE array_hold_i1d(array)\n TYPE(array_i1d_obj), INTENT(INOUT) :: array\n!$OMP ATOMIC\n array%low%refcount = array%low%refcount + 1\n END SUBROUTINE array_hold_i1d\n\n SUBROUTINE array_release_i1d(array)\n TYPE(array_i1d_obj), INTENT(INOUT) :: array\n\n IF (ASSOCIATED(array%low)) THEN\n array%low%refcount = array%low%refcount - 1\n IF (array%low%refcount .EQ. 0) THEN\n DEALLOCATE (array%low%data)\n DEALLOCATE (array%low)\n END IF\n END IF\n END SUBROUTINE array_release_i1d\n\n PURE SUBROUTINE array_nullify_i1d(array)\n TYPE(array_i1d_obj), INTENT(INOUT) :: array\n\n NULLIFY (array%low)\n END SUBROUTINE array_nullify_i1d\n\n PURE FUNCTION array_exists_i1d(array) RESULT(array_exists)\n TYPE(array_i1d_obj), INTENT(IN) :: array\n LOGICAL :: array_exists\n\n array_exists = ASSOCIATED(array%low)\n IF (array_exists) array_exists = array%low%refcount .GT. 0\n END FUNCTION array_exists_i1d\n\n FUNCTION array_data_i1d(array) RESULT(DATA)\n TYPE(array_i1d_obj), INTENT(IN) :: array\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: DATA\n\n IF (ASSOCIATED(array%low)) THEN\n DATA => array%low%data\n ELSE\n NULLIFY (DATA)\n END IF\n END FUNCTION array_data_i1d\n\n PURE FUNCTION array_size_i1d(array) RESULT(the_size)\n TYPE(array_i1d_obj), INTENT(IN) :: array\n INTEGER :: the_size\n\n IF (ASSOCIATED(array%low)) THEN\n the_size = SIZE(array%low%data)\n ELSE\n the_size = 0\n END IF\n END FUNCTION array_size_i1d\n\n PURE_ARRAY_EQUALITY FUNCTION array_equality_i1(array1, array2) RESULT(are_equal)\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: array1, array2\n LOGICAL :: are_equal\n\n are_equal = .FALSE.\n IF (ASSOCIATED(array1) .AND. ASSOCIATED(array2)) THEN\n#if TO_VERSION(1, 11) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n are_equal = .NOT. libxsmm_diff(array1, array2)\n#else\n IF (SIZE(array1) .NE. SIZE(array2)) RETURN\n are_equal = ALL(array1 .EQ. array2)\n#endif\n END IF\n END FUNCTION array_equality_i1\n\n PURE_ARRAY_EQUALITY FUNCTION array_equality_i1d(array1, array2) RESULT(are_equal)\n TYPE(array_i1d_obj), INTENT(IN) :: array1, array2\n LOGICAL :: are_equal\n\n are_equal = .FALSE.\n IF (ASSOCIATED(array1%low) .AND. ASSOCIATED(array2%low)) THEN\n#if TO_VERSION(1, 11) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n are_equal = .NOT. libxsmm_diff(array1%low%data, array2%low%data)\n#else\n IF (SIZE(array1%low%data) .NE. SIZE(array2%low%data)) RETURN\n are_equal = ALL(array1%low%data .EQ. array2%low%data)\n#endif\n END IF\n END FUNCTION array_equality_i1d\n\n PURE FUNCTION array_get_i1d(array, index1) RESULT(value)\n TYPE(array_i1d_obj), INTENT(IN) :: array\n INTEGER, INTENT(IN) :: index1\n INTEGER :: value\n\n value = array%low%data(index1)\n END FUNCTION array_get_i1d\n\n PURE FUNCTION array_get_i1(array, index1) RESULT(value)\n INTEGER, DIMENSION(:), INTENT(IN), POINTER :: array\n INTEGER, INTENT(IN) :: index1\n INTEGER :: value\n\n value = array(index1)\n END FUNCTION array_get_i1\nEND MODULE dbcsr_array_types\n" }, { "path": "src/core/dbcsr_config.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_config\n !! Configuration options for DBCSR\n USE dbcsr_acc_device, ONLY: dbcsr_acc_get_ndevices\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp\n USE dbcsr_kinds, ONLY: real_8\n USE dbcsr_mpiwrap, ONLY: mp_environ, mp_comm_world\n USE dbcsr_string_utilities, ONLY: uppercase, str2int\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_num_threads, omp_get_max_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_config'\n\n REAL(KIND=dp), PARAMETER :: default_resize_factor = 1.2_dp\n\n INTEGER, PARAMETER :: max_paramter_name_len = 100\n INTEGER, PARAMETER :: max_paramter_value_len = 100\n\n ! Possible drivers to use for matrix multiplications\n INTEGER, PARAMETER :: mm_driver_auto = 0\n INTEGER, PARAMETER :: mm_driver_matmul = 1\n INTEGER, PARAMETER :: mm_driver_blas = 2\n INTEGER, PARAMETER :: mm_driver_smm = 3\n INTEGER, PARAMETER :: mm_driver_xsmm = 4\n\n CHARACTER(len=*), PARAMETER :: mm_name_auto = \"AUTO\", &\n mm_name_blas = \"BLAS\", &\n mm_name_matmul = \"MATMUL\", &\n mm_name_smm = \"SMM\", &\n mm_name_xsmm = \"XSMM\"\n\n#if defined (__HAS_smm_dnn)\n LOGICAL, PARAMETER :: has_smm = .TRUE.\n#else\n LOGICAL, PARAMETER :: has_smm = .FALSE.\n#endif\n\n#if defined(__HAS_smm_vec)\n LOGICAL, PARAMETER :: has_smm_vec = .TRUE.\n#else\n LOGICAL, PARAMETER :: has_smm_vec = .FALSE.\n#endif\n\n#if defined(__LIBXSMM)\n LOGICAL, PARAMETER :: has_xsmm = .TRUE.\n#else\n LOGICAL, PARAMETER :: has_xsmm = .FALSE.\n#endif\n\n#if defined (__DBCSR_ACC)\n LOGICAL, PARAMETER :: has_acc = .TRUE.\n#else\n LOGICAL, PARAMETER :: has_acc = .FALSE.\n#endif\n\n#if defined (__parallel)\n LOGICAL, PARAMETER :: has_MPI = .TRUE.\n#else\n LOGICAL, PARAMETER :: has_MPI = .FALSE.\n#endif\n\n INTEGER, PARAMETER :: mm_stack_default_size_cpu = 1000\n INTEGER, PARAMETER :: mm_stack_default_size_gpu = 30000\n#if defined(__HAS_smm_vec) || defined (__DBCSR_ACC)\n INTEGER, PARAMETER :: mm_stack_default_size = mm_stack_default_size_gpu\n#else\n INTEGER, PARAMETER :: mm_stack_default_size = mm_stack_default_size_cpu\n#endif\n\n LOGICAL, PARAMETER :: mm_dense_default_cpu = .TRUE.\n LOGICAL, PARAMETER :: mm_dense_default_gpu = .FALSE.\n#if defined (__DBCSR_ACC)\n LOGICAL, PARAMETER :: mm_dense_default = mm_dense_default_gpu\n#else\n LOGICAL, PARAMETER :: mm_dense_default = mm_dense_default_cpu\n#endif\n\n#if defined(__LIBXSMM)\n INTEGER, PARAMETER :: mm_default_driver = mm_driver_xsmm\n#elif defined (__HAS_smm_dnn)\n INTEGER, PARAMETER :: mm_default_driver = mm_driver_smm\n#else\n INTEGER, PARAMETER :: mm_default_driver = mm_driver_blas ! always available\n#endif\n\n TYPE, ABSTRACT :: CONF_PAR\n CHARACTER :: source = 'D' ! Possible values are: D=Default, E=Environment, U=User code\n CHARACTER(len=max_paramter_name_len) :: name = \"\"\n\n CONTAINS\n\n PROCEDURE, NON_OVERRIDABLE :: env_value => conf_par_env_value\n PROCEDURE, NON_OVERRIDABLE :: print_source\n\n END TYPE CONF_PAR\n\n TYPE, EXTENDS(CONF_PAR) :: CONF_PAR_INT\n INTEGER :: val = -1, defval = -1\n LOGICAL :: ensure_positive = .TRUE.\n\n CONTAINS\n\n PROCEDURE :: set => set_conf_par_int\n\n END TYPE CONF_PAR_INT\n\n TYPE, EXTENDS(CONF_PAR) :: CONF_PAR_MM_DRIVER\n INTEGER :: val = -1, defval = -1\n\n CONTAINS\n\n PROCEDURE :: set => set_conf_par_mm_driver\n\n END TYPE CONF_PAR_MM_DRIVER\n\n TYPE, EXTENDS(CONF_PAR) :: CONF_PAR_LOGICAL\n LOGICAL :: val = .FALSE., defval = .FALSE.\n\n CONTAINS\n\n PROCEDURE :: set => set_conf_par_logical\n\n END TYPE CONF_PAR_LOGICAL\n\n TYPE, EXTENDS(CONF_PAR) :: CONF_PAR_REAL\n REAL(KIND=real_8) :: val = -1, defval = -1\n\n CONTAINS\n\n PROCEDURE :: set => set_conf_par_real\n\n END TYPE CONF_PAR_REAL\n\n! Convenient macro to define a configuration parameter\n#define DBCSR_PARAMETER(N, T, V) TYPE(T) :: N = T(name=DBCSR_STRINGIZE(N), val=V, defval=V)\n\n TYPE dbcsr_config_type\n TYPE(CONF_PAR_MM_DRIVER) :: MM_DRIVER = &\n CONF_PAR_MM_DRIVER(name=\"MM_DRIVER\", val=mm_default_driver, defval=mm_default_driver)\n TYPE(CONF_PAR_INT) :: MM_STACK_SIZE = &\n CONF_PAR_INT(name=\"MM_STACK_SIZE\", val=mm_stack_default_size, defval=mm_stack_default_size)\n DBCSR_PARAMETER(AVG_ELEMENTS_IMAGES, CONF_PAR_INT, 0)\n DBCSR_PARAMETER(NUM_MULT_IMAGES, CONF_PAR_INT, 1)\n DBCSR_PARAMETER(N_STACKS, CONF_PAR_INT, 3)\n DBCSR_PARAMETER(USE_MPI_RMA, CONF_PAR_LOGICAL, .FALSE.)\n DBCSR_PARAMETER(NUM_LAYERS_3D, CONF_PAR_INT, 1)\n DBCSR_PARAMETER(USE_COMM_THREAD, CONF_PAR_LOGICAL, .TRUE.)\n DBCSR_PARAMETER(COMM_THREAD_LOAD, CONF_PAR_INT, 100)\n DBCSR_PARAMETER(MM_DENSE, CONF_PAR_LOGICAL, mm_dense_default)\n DBCSR_PARAMETER(MULTREC_LIMIT, CONF_PAR_INT, 512)\n DBCSR_PARAMETER(RUN_ON_GPU, CONF_PAR_LOGICAL, .TRUE.)\n DBCSR_PARAMETER(ACCDRV_THREAD_BUFFERS, CONF_PAR_INT, 8)\n TYPE(CONF_PAR_LOGICAL) :: ACCDRV_AVOID_AFTER_BUSY = &\n CONF_PAR_LOGICAL(name=\"ACCDRV_AVOID_AFTER_BUSY\", val=.FALSE., defval=.FALSE.)\n DBCSR_PARAMETER(ACCDRV_MIN_FLOP_PROCESS, CONF_PAR_INT, 0)\n DBCSR_PARAMETER(ACCDRV_STACK_SORT, CONF_PAR_LOGICAL, .TRUE.)\n DBCSR_PARAMETER(ACCDRV_MIN_FLOP_SORT, CONF_PAR_INT, 4000)\n TYPE(CONF_PAR_LOGICAL) :: ACCDRV_DO_INHOMOGENOUS = &\n CONF_PAR_LOGICAL(name=\"ACCDRV_DO_INHOMOGENOUS\", val=.TRUE., defval=.TRUE.)\n DBCSR_PARAMETER(ACCDRV_BINNING_NBINS, CONF_PAR_INT, 4096)\n DBCSR_PARAMETER(ACCDRV_BINNING_BINSIZE, CONF_PAR_INT, 16)\n DBCSR_PARAMETER(USE_MEMPOOLS_CPU, CONF_PAR_LOGICAL, .FALSE.)\n DBCSR_PARAMETER(USE_MPI_ALLOCATOR, CONF_PAR_LOGICAL, .FALSE.)\n DBCSR_PARAMETER(TAS_SPLIT_FACTOR, CONF_PAR_REAL, 1.0_real_8)\n DBCSR_PARAMETER(USE_ACC_G2G, CONF_PAR_LOGICAL, .FALSE.)\n END TYPE dbcsr_config_type\n\n TYPE(dbcsr_config_type), PROTECTED, SAVE :: dbcsr_cfg = dbcsr_config_type() ! defaults\n\n ! Max dimension for any block dimension\n INTEGER, PARAMETER :: max_kernel_dim = 80\n ! Accelerator active device, default to -1, i.e. no device\n INTEGER, PARAMETER :: default_accdrv_active_device_id = -1\n INTEGER :: accdrv_active_device_id = default_accdrv_active_device_id\n\n PUBLIC :: dbcsr_cfg, has_MPI, has_acc, default_resize_factor\n PUBLIC :: mm_driver_blas, mm_driver_matmul, mm_driver_smm, mm_driver_xsmm, mm_driver_auto\n PUBLIC :: dbcsr_set_config, dbcsr_get_default_config, dbcsr_print_config\n PUBLIC :: max_kernel_dim\n PUBLIC :: get_accdrv_active_device_id, set_accdrv_active_device_id, reset_accdrv_active_device_id\n PUBLIC :: use_acc\n\nCONTAINS\n\n FUNCTION print_source(this)\n CLASS(CONF_PAR), INTENT(IN) :: this\n CHARACTER(len=3) :: print_source\n\n print_source = \"(\"//this%source//\")\"\n END FUNCTION print_source\n\n FUNCTION conf_par_env_value(this, env_val) result(status)\n CLASS(CONF_PAR), INTENT(INOUT) :: this\n CLASS(*), INTENT(OUT) :: env_val\n LOGICAL :: status\n\n CHARACTER(len=max_paramter_name_len) :: string_val\n INTEGER :: stat\n\n ! Do nothing is already set via environment variable\n IF (this%source == 'E') THEN\n status = .TRUE.\n RETURN\n END IF\n\n ! Check environment variable, only if default is set\n IF (this%source == 'D') THEN\n CALL uppercase(this%name)\n CALL get_environment_variable(\"DBCSR_\"//this%name, string_val, status=stat)\n IF (stat .NE. 0 .AND. stat .NE. 1) DBCSR_ABORT(\"Invalid environment value\")\n IF (stat == 0) THEN\n this%source = 'E'\n\n SELECT TYPE (env_val)\n TYPE IS (CHARACTER(len=*))\n env_val = string_val\n TYPE IS (INTEGER)\n call str2int(string_val, env_val, stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Wrong environment variable reading. Expecting an integer value.\")\n CLASS DEFAULT\n DBCSR_ABORT(\"Unrecognized type\")\n END SELECT\n END IF\n END IF\n\n status = .FALSE.\n\n END FUNCTION CONF_PAR_ENV_VALUE\n\n SUBROUTINE set_conf_par_int(this, integer_val)\n CLASS(CONF_PAR_INT), INTENT(INOUT) :: this\n INTEGER, INTENT(IN), OPTIONAL :: integer_val\n\n INTEGER :: my_integer_val\n\n IF (this%env_value(my_integer_val)) RETURN\n\n ! Use User-code value\n IF (PRESENT(integer_val) .AND. this%source .NE. 'E') THEN\n my_integer_val = integer_val\n this%source = 'U'\n END IF\n\n IF (PRESENT(integer_val) .OR. this%source .EQ. 'E') THEN\n ! Set default if the number is negative\n IF (this%ensure_positive .AND. my_integer_val < 0) THEN\n this%val = this%defval\n this%source = 'D'\n ELSE\n this%val = my_integer_val\n END IF\n END IF\n\n END SUBROUTINE set_conf_par_int\n\n SUBROUTINE set_conf_par_mm_driver(this, mm_driver)\n CLASS(CONF_PAR_MM_DRIVER), INTENT(INOUT) :: this\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: mm_driver\n\n CHARACTER(len=max_paramter_value_len) :: my_mm_driver\n\n IF (this%env_value(my_mm_driver)) RETURN\n\n ! Use User-code value\n IF (PRESENT(mm_driver) .AND. this%source .NE. 'E') THEN\n my_mm_driver = TRIM(mm_driver)\n this%source = 'U'\n END IF\n\n ! Check input value\n IF (PRESENT(mm_driver) .OR. this%source .EQ. 'E') THEN\n CALL uppercase(my_mm_driver)\n IF (my_mm_driver .EQ. mm_name_auto) THEN\n this%val = this%defval\n ELSE IF (my_mm_driver .EQ. mm_name_blas) THEN\n this%val = mm_driver_blas ! always available\n ELSE IF (my_mm_driver .EQ. mm_name_matmul) THEN\n this%val = mm_driver_matmul ! always available\n ELSE IF (my_mm_driver .EQ. mm_name_smm) THEN\n IF (.NOT. has_smm) DBCSR_ABORT(\"Support for libsmm not compiled in.\")\n this%val = mm_driver_smm\n ELSE IF (my_mm_driver .EQ. mm_name_xsmm) THEN\n IF (.NOT. has_xsmm) DBCSR_ABORT(\"Support for libxsmm not compiled in.\")\n this%val = mm_driver_xsmm\n ELSE\n DBCSR_ABORT(\"Unknown MM driver: \"//TRIM(mm_driver))\n END IF\n END IF\n END SUBROUTINE set_conf_par_mm_driver\n\n SUBROUTINE set_conf_par_logical(this, logical_val)\n CLASS(CONF_PAR_LOGICAL), INTENT(INOUT) :: this\n LOGICAL, INTENT(IN), OPTIONAL :: logical_val\n\n INTEGER :: my_integer_val\n\n IF (this%env_value(my_integer_val)) RETURN\n\n ! Use env value\n IF (this%source .EQ. 'E') THEN\n this%val = (my_integer_val .NE. 0)\n RETURN\n END IF\n\n ! Use User-code value\n IF (PRESENT(logical_val)) THEN\n this%val = logical_val\n this%source = 'U'\n END IF\n\n END SUBROUTINE set_conf_par_logical\n\n SUBROUTINE set_conf_par_real(this, real_val)\n CLASS(CONF_PAR_REAL), INTENT(INOUT) :: this\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: real_val\n\n IF (PRESENT(real_val)) THEN\n this%val = real_val\n this%source = 'U'\n END IF\n\n END SUBROUTINE set_conf_par_real\n\n SUBROUTINE dbcsr_set_config( &\n mm_driver, &\n use_mpi_allocator, &\n mm_stack_size, &\n avg_elements_images, &\n num_mult_images, &\n nstacks, &\n use_mpi_rma, &\n num_layers_3D, &\n use_comm_thread, &\n comm_thread_load, &\n mm_dense, &\n multrec_limit, &\n run_on_gpu, &\n accdrv_thread_buffers, &\n accdrv_avoid_after_busy, &\n accdrv_min_flop_process, &\n accdrv_stack_sort, &\n accdrv_min_flop_sort, &\n accdrv_do_inhomogenous, &\n accdrv_binning_nbins, &\n accdrv_binning_binsize, &\n use_mempools_cpu, &\n tas_split_factor, &\n use_acc_g2g)\n\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: mm_driver\n LOGICAL, INTENT(IN), OPTIONAL :: use_mpi_allocator\n INTEGER, INTENT(IN), OPTIONAL :: avg_elements_images\n !! Maximum number of elements for each image\n INTEGER, INTENT(IN), OPTIONAL :: num_mult_images\n !! Multiplicative factor for number of virtual images\n INTEGER, INTENT(IN), OPTIONAL :: nstacks\n !! Number of stacks to use\n INTEGER, INTENT(IN), OPTIONAL :: mm_stack_size\n LOGICAL, INTENT(IN), OPTIONAL :: use_mpi_rma\n !! use_mpi_rma RMA algorithm\n INTEGER, INTENT(IN), OPTIONAL :: num_layers_3D\n !! num_layers_3D 3D layers\n LOGICAL, INTENT(IN), OPTIONAL :: use_comm_thread\n INTEGER, INTENT(IN), OPTIONAL :: comm_thread_load\n LOGICAL, INTENT(IN), OPTIONAL :: mm_dense\n LOGICAL, INTENT(IN), OPTIONAL :: run_on_gpu\n INTEGER, INTENT(IN), OPTIONAL :: multrec_limit, accdrv_thread_buffers\n LOGICAL, INTENT(IN), OPTIONAL :: accdrv_avoid_after_busy\n INTEGER, INTENT(IN), OPTIONAL :: accdrv_min_flop_process\n LOGICAL, INTENT(IN), OPTIONAL :: accdrv_stack_sort\n INTEGER, INTENT(IN), OPTIONAL :: accdrv_min_flop_sort\n LOGICAL, INTENT(IN), OPTIONAL :: accdrv_do_inhomogenous\n INTEGER, INTENT(IN), OPTIONAL :: accdrv_binning_nbins, &\n accdrv_binning_binsize\n LOGICAL, INTENT(IN), OPTIONAL :: use_mempools_cpu\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: tas_split_factor\n LOGICAL, INTENT(IN), OPTIONAL :: use_acc_g2g\n\n INTEGER, SAVE :: nthreads = 0\n\n CALL dbcsr_cfg%use_mpi_allocator%set(use_mpi_allocator)\n CALL dbcsr_cfg%avg_elements_images%set(avg_elements_images)\n CALL dbcsr_cfg%num_mult_images%set(num_mult_images)\n CALL dbcsr_cfg%use_mpi_rma%set(use_mpi_rma)\n CALL dbcsr_cfg%num_layers_3D%set(num_layers_3D)\n CALL dbcsr_cfg%use_comm_thread%set(use_comm_thread)\n CALL dbcsr_cfg%multrec_limit%set(multrec_limit)\n CALL dbcsr_cfg%run_on_gpu%set(run_on_gpu)\n CALL dbcsr_cfg%accdrv_thread_buffers%set(accdrv_thread_buffers)\n CALL dbcsr_cfg%accdrv_avoid_after_busy%set(accdrv_avoid_after_busy)\n CALL dbcsr_cfg%accdrv_min_flop_process%set(accdrv_min_flop_process)\n CALL dbcsr_cfg%accdrv_stack_sort%set(accdrv_stack_sort)\n CALL dbcsr_cfg%accdrv_min_flop_sort%set(accdrv_min_flop_sort)\n CALL dbcsr_cfg%accdrv_do_inhomogenous%set(accdrv_do_inhomogenous)\n CALL dbcsr_cfg%accdrv_binning_nbins%set(accdrv_binning_nbins)\n CALL dbcsr_cfg%accdrv_binning_binsize%set(accdrv_binning_binsize)\n CALL dbcsr_cfg%use_mempools_cpu%set(use_mempools_cpu)\n CALL dbcsr_cfg%tas_split_factor%set(tas_split_factor)\n CALL dbcsr_cfg%use_acc_g2g%set(use_acc_g2g)\n\n IF (0 == nthreads) THEN\n nthreads = 1\n!$ nthreads = OMP_GET_MAX_THREADS()\n END IF\n ! Change default values\n IF (dbcsr_cfg%use_mpi_rma%val) THEN\n dbcsr_cfg%comm_thread_load%defval = 100\n ELSE\n dbcsr_cfg%comm_thread_load%defval = MAX(0, 90 - (30*nthreads)/8)\n END IF\n CALL dbcsr_cfg%comm_thread_load%set(comm_thread_load)\n\n CALL dbcsr_cfg%n_stacks%set(nstacks)\n CALL dbcsr_cfg%mm_driver%set(mm_driver)\n\n ! If ACC is turned-off, use the CPU defaults\n IF (.NOT. PRESENT(mm_stack_size) .AND. .NOT. dbcsr_cfg%run_on_gpu%val) THEN\n CALL dbcsr_cfg%mm_stack_size%set(mm_stack_default_size_cpu)\n ELSE\n CALL dbcsr_cfg%mm_stack_size%set(mm_stack_size)\n END IF\n\n IF (.NOT. PRESENT(mm_dense) .AND. .NOT. dbcsr_cfg%run_on_gpu%val) THEN\n CALL dbcsr_cfg%mm_dense%set(mm_dense_default_cpu)\n ELSE\n CALL dbcsr_cfg%mm_dense%set(mm_dense)\n END IF\n\n END SUBROUTINE dbcsr_set_config\n\n SUBROUTINE dbcsr_get_default_config( &\n use_mpi_allocator, &\n mm_stack_size, &\n avg_elements_images, &\n num_mult_images, &\n nstacks, &\n use_mpi_rma, &\n num_layers_3D, &\n use_comm_thread, &\n comm_thread_load, &\n mm_dense, &\n run_on_gpu, &\n multrec_limit, &\n accdrv_thread_buffers, &\n accdrv_avoid_after_busy, &\n accdrv_min_flop_process, &\n accdrv_stack_sort, &\n accdrv_min_flop_sort, &\n accdrv_do_inhomogenous, &\n accdrv_binning_nbins, &\n accdrv_binning_binsize, &\n use_mempools_cpu, &\n tas_split_factor, &\n use_acc_g2g)\n!\n LOGICAL, INTENT(OUT), OPTIONAL :: use_mpi_allocator\n INTEGER, INTENT(OUT), OPTIONAL :: mm_stack_size, avg_elements_images, &\n num_mult_images, nstacks\n LOGICAL, INTENT(OUT), OPTIONAL :: use_mpi_rma\n INTEGER, INTENT(OUT), OPTIONAL :: num_layers_3D\n LOGICAL, INTENT(OUT), OPTIONAL :: use_comm_thread\n INTEGER, INTENT(OUT), OPTIONAL :: comm_thread_load\n LOGICAL, INTENT(OUT), OPTIONAL :: mm_dense, run_on_gpu\n INTEGER, INTENT(OUT), OPTIONAL :: multrec_limit, accdrv_thread_buffers\n LOGICAL, INTENT(OUT), OPTIONAL :: accdrv_avoid_after_busy\n INTEGER, INTENT(OUT), OPTIONAL :: accdrv_min_flop_process\n LOGICAL, INTENT(OUT), OPTIONAL :: accdrv_stack_sort\n INTEGER, INTENT(OUT), OPTIONAL :: accdrv_min_flop_sort\n LOGICAL, INTENT(OUT), OPTIONAL :: accdrv_do_inhomogenous\n INTEGER, INTENT(OUT), OPTIONAL :: accdrv_binning_nbins, &\n accdrv_binning_binsize\n LOGICAL, INTENT(OUT), OPTIONAL :: use_mempools_cpu\n REAL(KIND=real_8), INTENT(OUT), OPTIONAL :: tas_split_factor\n LOGICAL, INTENT(OUT), OPTIONAL :: use_acc_g2g\n\n IF (PRESENT(use_mpi_allocator)) use_mpi_allocator = dbcsr_cfg%use_mpi_allocator%defval\n IF (PRESENT(mm_stack_size)) mm_stack_size = dbcsr_cfg%mm_stack_size%defval\n IF (PRESENT(avg_elements_images)) avg_elements_images = dbcsr_cfg%avg_elements_images%defval\n IF (PRESENT(num_mult_images)) num_mult_images = dbcsr_cfg%num_mult_images%defval\n IF (PRESENT(use_mpi_rma)) use_mpi_rma = dbcsr_cfg%use_mpi_rma%defval\n IF (PRESENT(num_layers_3D)) num_layers_3D = dbcsr_cfg%num_layers_3D%defval\n IF (PRESENT(use_comm_thread)) use_comm_thread = dbcsr_cfg%use_comm_thread%defval\n IF (PRESENT(comm_thread_load)) comm_thread_load = dbcsr_cfg%comm_thread_load%defval\n IF (PRESENT(mm_dense)) mm_dense = dbcsr_cfg%mm_dense%defval\n IF (PRESENT(multrec_limit)) multrec_limit = dbcsr_cfg%multrec_limit%defval\n IF (PRESENT(run_on_gpu)) run_on_gpu = dbcsr_cfg%run_on_gpu%defval\n IF (PRESENT(accdrv_thread_buffers)) accdrv_thread_buffers = dbcsr_cfg%accdrv_thread_buffers%defval\n IF (PRESENT(accdrv_avoid_after_busy)) accdrv_avoid_after_busy = dbcsr_cfg%accdrv_avoid_after_busy%defval\n IF (PRESENT(accdrv_min_flop_process)) accdrv_min_flop_process = dbcsr_cfg%accdrv_min_flop_process%defval\n IF (PRESENT(accdrv_stack_sort)) accdrv_stack_sort = dbcsr_cfg%accdrv_stack_sort%defval\n IF (PRESENT(accdrv_min_flop_sort)) accdrv_min_flop_sort = dbcsr_cfg%accdrv_min_flop_sort%defval\n IF (PRESENT(accdrv_do_inhomogenous)) accdrv_do_inhomogenous = dbcsr_cfg%accdrv_do_inhomogenous%defval\n IF (PRESENT(accdrv_binning_nbins)) accdrv_binning_nbins = dbcsr_cfg%accdrv_binning_nbins%defval\n IF (PRESENT(accdrv_binning_binsize)) accdrv_binning_binsize = dbcsr_cfg%accdrv_binning_binsize%defval\n IF (PRESENT(use_mempools_cpu)) use_mempools_cpu = dbcsr_cfg%use_mempools_cpu%defval\n IF (PRESENT(nstacks)) nstacks = dbcsr_cfg%n_stacks%defval\n IF (PRESENT(tas_split_factor)) tas_split_factor = dbcsr_cfg%tas_split_factor%defval\n IF (PRESENT(use_acc_g2g)) use_acc_g2g = dbcsr_cfg%use_acc_g2g%defval\n\n END SUBROUTINE dbcsr_get_default_config\n\n SUBROUTINE dbcsr_print_config(unit_nr)\n !! Prints configuration for DBCSR\n INTEGER, INTENT(IN) :: unit_nr\n\n CHARACTER(len=default_string_length) :: mm_name\n\n IF (unit_nr <= 0) &\n RETURN\n\n SELECT CASE (dbcsr_cfg%mm_driver%val)\n CASE (mm_driver_blas); mm_name = mm_name_blas\n CASE (mm_driver_matmul); mm_name = mm_name_matmul\n CASE (mm_driver_smm); mm_name = mm_name_smm\n CASE (mm_driver_xsmm); mm_name = mm_name_xsmm\n CASE DEFAULT\n DBCSR_ABORT(\"Unknown MM driver\")\n END SELECT\n\n WRITE (UNIT=unit_nr, FMT='(1X,A,T41,A40,A4)') &\n \"DBCSR| CPU Multiplication driver\", ADJUSTR(mm_name(1:40)), &\n dbcsr_cfg%mm_driver%print_source()\n\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| Multrec recursion limit\", dbcsr_cfg%multrec_limit%val, &\n dbcsr_cfg%multrec_limit%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| Multiplication stack size\", dbcsr_cfg%mm_stack_size%val, &\n dbcsr_cfg%mm_stack_size%print_source()\n\n IF (dbcsr_cfg%avg_elements_images%val > 0) THEN\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| Average elements for images\", dbcsr_cfg%avg_elements_images%val, &\n dbcsr_cfg%avg_elements_images%print_source()\n ELSE\n WRITE (UNIT=unit_nr, FMT='(1X,A,T72,A,A4)') &\n \"DBCSR| Maximum elements for images\", \"UNLIMITED\", &\n dbcsr_cfg%avg_elements_images%print_source()\n END IF\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| Multiplicative factor virtual images\", dbcsr_cfg%num_mult_images%val, &\n dbcsr_cfg%num_mult_images%print_source()\n\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| Use multiplication densification\", dbcsr_cfg%mm_dense%val, &\n dbcsr_cfg%mm_dense%print_source()\n\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| Multiplication size stacks\", dbcsr_cfg%n_stacks%val, &\n dbcsr_cfg%n_stacks%print_source()\n\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| Use memory pool for CPU allocation\", dbcsr_cfg%use_mempools_cpu%val, &\n dbcsr_cfg%use_mempools_cpu%print_source()\n\n IF (has_mpi) THEN\n IF (dbcsr_cfg%num_layers_3D%val < 2) THEN\n WRITE (UNIT=unit_nr, FMT='(1X,A,T75,A,A4)') &\n \"DBCSR| Number of 3D layers\", \"SINGLE\", &\n dbcsr_cfg%use_mempools_cpu%print_source()\n ELSE\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| Number of 3D layers\", dbcsr_cfg%num_layers_3D%val, &\n dbcsr_cfg%use_mempools_cpu%print_source()\n END IF\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| Use MPI memory allocation\", dbcsr_cfg%use_mpi_allocator%val, &\n dbcsr_cfg%use_mpi_allocator%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| Use RMA algorithm\", dbcsr_cfg%use_mpi_rma%val, &\n dbcsr_cfg%use_mpi_rma%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| Use Communication thread\", dbcsr_cfg%use_comm_thread%val, &\n dbcsr_cfg%use_comm_thread%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| Communication thread load\", dbcsr_cfg%comm_thread_load%val, &\n dbcsr_cfg%comm_thread_load%print_source()\n\n BLOCK\n INTEGER :: numnodes, mynode\n CALL mp_environ(numnodes, mynode, mp_comm_world)\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11)') &\n \"DBCSR| MPI: My process id\", mynode\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11)') &\n \"DBCSR| MPI: Number of processes\", numnodes\n END BLOCK\n END IF\n\n BLOCK\n INTEGER :: numthreads, numthreads_max\n numthreads = -1\n numthreads_max = -1\n!$OMP PARALLEL DEFAULT(NONE) SHARED(numthreads, numthreads_max)\n!$OMP MASTER\n!$ numthreads = omp_get_num_threads()\n!$ numthreads_max = omp_get_max_threads()\n!$OMP END MASTER\n!$OMP END PARALLEL\n IF (numthreads_max > 0) THEN\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11)') &\n \"DBCSR| OMP: Current number of threads\", numthreads\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11)') &\n \"DBCSR| OMP: Max number of threads\", numthreads_max\n ELSE\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,A11)') &\n \"DBCSR| OMP: Current number of threads\", \"\"\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,A11)') &\n \"DBCSR| OMP: Max number of threads\", \"\"\n END IF\n END BLOCK\n\n IF (has_acc) THEN\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11)') &\n \"DBCSR| ACC: Number of devices/node\", dbcsr_acc_get_ndevices()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| ACC: Number of stack-buffers per thread\", dbcsr_cfg%accdrv_thread_buffers%val, &\n dbcsr_cfg%accdrv_thread_buffers%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| ACC: Avoid driver after busy \", dbcsr_cfg%accdrv_avoid_after_busy%val, &\n dbcsr_cfg%accdrv_avoid_after_busy%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| ACC: Process inhomogeneous stacks\", dbcsr_cfg%accdrv_do_inhomogenous%val, &\n dbcsr_cfg%accdrv_do_inhomogenous%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| ACC: Min. flop for processing\", dbcsr_cfg%accdrv_min_flop_process%val, &\n dbcsr_cfg%accdrv_min_flop_process%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| ACC: Use G2G algorithm\", dbcsr_cfg%use_acc_g2g%val, &\n dbcsr_cfg%use_acc_g2g%print_source()\n IF (dbcsr_cfg%accdrv_stack_sort%val) THEN\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| ACC: Min. flop for sorting\", dbcsr_cfg%accdrv_min_flop_sort%val, &\n dbcsr_cfg%accdrv_min_flop_sort%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| ACC: Number of binning bins\", dbcsr_cfg%accdrv_binning_nbins%val, &\n dbcsr_cfg%accdrv_binning_nbins%print_source()\n WRITE (UNIT=unit_nr, FMT='(1X,A,T70,I11,A4)') &\n \"DBCSR| ACC: Size of binning bins\", dbcsr_cfg%accdrv_binning_binsize%val, &\n dbcsr_cfg%accdrv_binning_binsize%print_source()\n END IF\n WRITE (UNIT=unit_nr, FMT='(1X,A,T80,L1,A4)') &\n \"DBCSR| ACC: GPU backend is enabled\", dbcsr_cfg%run_on_gpu%val, dbcsr_cfg%run_on_gpu%print_source()\n END IF\n\n WRITE (UNIT=unit_nr, FMT='(1X,A,T74,ES7.1,A4)') &\n \"DBCSR| Split modifier for TAS multiplication algorithm\", dbcsr_cfg%tas_split_factor%val, &\n dbcsr_cfg%tas_split_factor%print_source()\n\n END SUBROUTINE dbcsr_print_config\n\n FUNCTION get_accdrv_active_device_id()\n INTEGER :: get_accdrv_active_device_id\n\n get_accdrv_active_device_id = accdrv_active_device_id\n\n END FUNCTION get_accdrv_active_device_id\n\n SUBROUTINE set_accdrv_active_device_id(in_accdrv_active_device_id)\n INTEGER, INTENT(IN) :: in_accdrv_active_device_id\n\n ! Abort if device already assigned\n IF (dbcsr_acc_get_ndevices() .GT. 0) THEN\n IF (accdrv_active_device_id .GE. 0) &\n DBCSR_ABORT(\"Accelerator device ID already set\")\n IF (in_accdrv_active_device_id .LT. 0 .OR. in_accdrv_active_device_id .GE. dbcsr_acc_get_ndevices()) &\n DBCSR_ABORT(\"Invalid accelerator device ID\")\n accdrv_active_device_id = in_accdrv_active_device_id\n END IF\n\n END SUBROUTINE set_accdrv_active_device_id\n\n SUBROUTINE reset_accdrv_active_device_id()\n accdrv_active_device_id = default_accdrv_active_device_id\n END SUBROUTINE reset_accdrv_active_device_id\n\n PURE FUNCTION use_acc()\n LOGICAL :: use_acc\n\n IF (has_acc .AND. dbcsr_cfg%run_on_gpu%val) THEN\n use_acc = .TRUE.\n ELSE\n use_acc = .FALSE.\n END IF\n END FUNCTION use_acc\n\nEND MODULE dbcsr_config\n" }, { "path": "src/core/dbcsr_dict.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include 'dbcsr_dict.fypp'\nMODULE dbcsr_dict\n !! A dictionary (also known as hashtable or hashmap).\n !! Internally the dictionary uses an array to holds its data.\n !! If this array reaches a load-factor of 75%, a new array with twice the\n !! size will be allocated and the items are then copied over.\n !! This ensures that the dictionary will perform operations in O(1).\n\n USE dbcsr_kinds, ONLY: ${uselist(usekinds)}$\n USE dbcsr_timings_base_type, ONLY: ${uselist(usetimings)}$\n#include \"base/dbcsr_base_uses.f90\"\n IMPLICIT NONE\n\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_dict'\n\n PUBLIC :: dict_init, dict_items, dict_haskey, &\n dict_set, dict_get, dict_size, dict_destroy\n\n #:for keytype, valuetype in keyvalue_list\n PUBLIC :: dict_${keytype}$_${valuetype}$_type\n PUBLIC :: dict_${keytype}$_${valuetype}$_item_type\n #:endfor\n\n #:for keytype, valuetype, keytype_fort, valuetype_fort, key_assign, value_assign, isequal, default_key, default_value in inst_params\n !this is an internal type\n !Calculating hashes might be expensive, therefore they are stored\n !for use during change_capacity().\n TYPE private_item_type_${keytype}$_${valuetype}$\n PRIVATE\n ${keytype_fort}$ :: key ${key_assign}$${default_key}$\n ${valuetype_fort}$ :: value ${value_assign}$${default_value}$\n INTEGER(KIND=int_8) :: hash = -1_int_8\n TYPE(private_item_type_${keytype}$_${valuetype}$), POINTER :: next => Null()\n END TYPE private_item_type_${keytype}$_${valuetype}$\n\n !this is an internal type\n TYPE private_item_p_type_${keytype}$_${valuetype}$\n PRIVATE\n TYPE(private_item_type_${keytype}$_${valuetype}$), POINTER :: p => Null()\n END TYPE private_item_p_type_${keytype}$_${valuetype}$\n\n ! this is the public type, which holds a dictionary-instance\n TYPE dict_${keytype}$_${valuetype}$_type\n PRIVATE\n TYPE(private_item_p_type_${keytype}$_${valuetype}$), DIMENSION(:), POINTER :: buckets => Null()\n INTEGER :: size = -1\n END TYPE dict_${keytype}$_${valuetype}$_type\n\n ! this is a public type, its returned by dict_items()\n TYPE dict_${keytype}$_${valuetype}$_item_type\n ${keytype_fort}$ :: key ${key_assign}$${default_key}$\n ${valuetype_fort}$ :: value ${value_assign}$${default_value}$\n END TYPE dict_${keytype}$_${valuetype}$_item_type\n #:endfor\n\n INTERFACE dict_init\n #:for keytype, valuetype in keyvalue_list\n MODULE PROCEDURE dict_${keytype}$_${valuetype}$_init\n #:endfor\n END INTERFACE\n\n INTERFACE dict_haskey\n #:for keytype, valuetype in keyvalue_list\n MODULE PROCEDURE dict_${keytype}$_${valuetype}$_haskey\n #:endfor\n END INTERFACE\n\n INTERFACE dict_set\n #:for keytype, valuetype in keyvalue_list\n MODULE PROCEDURE dict_${keytype}$_${valuetype}$_set\n #:endfor\n END INTERFACE\n\n INTERFACE dict_get\n #:for keytype, valuetype in keyvalue_list\n MODULE PROCEDURE dict_${keytype}$_${valuetype}$_get\n #:endfor\n END INTERFACE\n\n INTERFACE dict_items\n #:for keytype, valuetype in keyvalue_list\n MODULE PROCEDURE dict_${keytype}$_${valuetype}$_items\n #:endfor\n END INTERFACE\n\n INTERFACE dict_size\n #:for keytype, valuetype in keyvalue_list\n MODULE PROCEDURE dict_${keytype}$_${valuetype}$_size\n #:endfor\n END INTERFACE\n\n INTERFACE dict_destroy\n #:for keytype, valuetype in keyvalue_list\n MODULE PROCEDURE dict_${keytype}$_${valuetype}$_destroy\n #:endfor\n END INTERFACE\n\nCONTAINS\n\n #:for fct in hash_fct\n $:fct\n #:endfor\n\n #:for keytype, valuetype, keytype_fort, valuetype_fort, key_assign, value_assign, isequal, default_key, default_value in inst_params\n SUBROUTINE dict_${keytype}$_${valuetype}$_init(dict, initial_capacity)\n !! Allocates the internal data-structures of the given dictionary.\n\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n INTEGER, INTENT(in), OPTIONAL :: initial_capacity\n !! The initial size of the internal array (default=11).\n\n INTEGER :: initial_capacity_\n initial_capacity_ = 11\n IF (PRESENT(initial_capacity)) initial_capacity_ = initial_capacity\n\n IF (initial_capacity_ < 1) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_init: initial_capacity < 1\")\n\n IF (ASSOCIATED(dict%buckets)) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_init: dictionary is already initialized.\")\n\n ALLOCATE (dict%buckets(initial_capacity_))\n dict%size = 0\n\n END SUBROUTINE dict_${keytype}$_${valuetype}$_init\n\n SUBROUTINE dict_${keytype}$_${valuetype}$_destroy(dict)\n !! Deallocated the internal data-structures if the given dictionary.\n !! Caution: If the stored keys or values are pointers, their targets will\n !! not get deallocated by this routine.\n\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n TYPE(private_item_type_${keytype}$_${valuetype}$), POINTER :: item, prev_item\n INTEGER :: i\n\n IF (.not. ASSOCIATED(dict%buckets)) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_destroy: dictionary is not initialized.\")\n\n do i = 1, size(dict%buckets)\n item => dict%buckets(i)%p\n do while (ASSOCIATED(item))\n prev_item => item\n item => item%next\n deallocate (prev_item)\n end do\n end do\n\n deallocate (dict%buckets)\n dict%size = -1\n\n END SUBROUTINE dict_${keytype}$_${valuetype}$_destroy\n\n SUBROUTINE dict_${keytype}$_${valuetype}$_set(dict, key, value)\n !! Stores, and possibly overwrites, a given value under a given key.\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n ${keytype_fort}$, intent(in) :: key\n ${valuetype_fort}$, intent(in) :: value\n INTEGER(KIND=int_8) :: hash\n IF (.not. ASSOCIATED(dict%buckets)) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_set: dictionary is not initialized.\")\n\n hash = hash_${keytype}$ (key)\n call set_hashed_${keytype}$_${valuetype}$ (dict, key, value, hash)\n END SUBROUTINE dict_${keytype}$_${valuetype}$_set\n\n RECURSIVE SUBROUTINE set_hashed_${keytype}$_${valuetype}$ (dict, key, value, hash)\n !! Common code used internally by dict_set() and change_capacity().\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n ${keytype_fort}$, intent(in) :: key\n ${valuetype_fort}$, intent(in) :: value\n INTEGER(KIND=int_8), intent(in) :: hash\n TYPE(private_item_type_${keytype}$_${valuetype}$), POINTER :: item, new_item\n INTEGER(KIND=int_8) :: idx\n\n idx = MOD(hash, INT(size(dict%buckets), KIND=int_8)) + 1\n\n ! if already in dict just update its value\n item => dict%buckets(idx)%p\n do while (ASSOCIATED(item))\n IF (item%hash == hash) THEN\n IF (@{isequal(item%key, key)}@) THEN\n item%value ${value_assign}$value\n return\n END IF\n END IF\n item => item%next\n end do\n\n ! check load-factor\n IF (4*dict%size > 3*size(dict%buckets)) THEN ! load-factor > 75%\n call change_capacity_${keytype}$_${valuetype}$ (dict, 2*size(dict%buckets)) !double capacity\n idx = MOD(hash, INT(size(dict%buckets), KIND=int_8)) + 1\n END IF\n\n ! create a new item\n allocate (new_item)\n new_item%hash = hash\n new_item%key ${key_assign}$key\n new_item%value ${value_assign}$value\n new_item%next => dict%buckets(idx)%p\n dict%buckets(idx)%p => new_item\n dict%size = dict%size + 1\n\n END SUBROUTINE set_hashed_${keytype}$_${valuetype}$\n\n RECURSIVE SUBROUTINE change_capacity_${keytype}$_${valuetype}$ (dict, new_capacity)\n !! Internal routine for changing the dictionary's capacity.\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n INTEGER, intent(in) :: new_capacity\n INTEGER :: i, old_size, new_cap\n TYPE(private_item_type_${keytype}$_${valuetype}$), POINTER :: item, prev_item\n TYPE(private_item_p_type_${keytype}$_${valuetype}$), DIMENSION(:), POINTER :: old_buckets\n new_cap = new_capacity\n ! pre checks\n IF (new_cap > HUGE(i)) THEN\n IF (size(dict%buckets) == HUGE(i)) RETURN ! reached maximum - stay there.\n new_cap = HUGE(i) ! grow as far as possible\n END IF\n IF (new_cap < 1) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_change_capacity: new_capacity < 1.\")\n IF (4*dict%size > 3*new_cap) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_change_capacity: new_capacity too small.\")\n\n old_size = dict%size\n old_buckets => dict%buckets\n ALLOCATE (dict%buckets(new_capacity))\n dict%size = 0\n do i = 1, size(old_buckets)\n item => old_buckets(i)%p\n do while (ASSOCIATED(item))\n call set_hashed_${keytype}$_${valuetype}$ (dict, item%key, item%value, item%hash)\n prev_item => item\n item => item%next\n deallocate (prev_item)\n end do\n end do\n\n deallocate (old_buckets)\n\n IF (old_size /= dict%size) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_change_capacity: assertion failed\")\n END SUBROUTINE change_capacity_${keytype}$_${valuetype}$\n\n FUNCTION dict_${keytype}$_${valuetype}$_get(dict, key, default_value) RESULT(value)\n !! Gets a value for a given key from the dictionary.\n !! If the key is not found the default_value will be returned.\n !! If the key is not found and default_value was not provided the program stops.\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n ${keytype_fort}$ :: key\n ${valuetype_fort}$, intent(in), optional :: default_value\n ${valuetype_fort}$ :: value\n TYPE(private_item_type_${keytype}$_${valuetype}$), POINTER :: item\n INTEGER(KIND=int_8) :: hash, idx\n\n #:if valuetype_fort == 'INTEGER(kind=int_4)'\n value = 0\n #:elif valuetype_fort == 'TYPE(call_stat_type), POINTER'\n NULLIFY (value)\n #:endif\n\n IF (.not. ASSOCIATED(dict%buckets)) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_get: dictionary is not initialized.\")\n\n hash = hash_${keytype}$ (key)\n idx = MOD(hash, INT(size(dict%buckets), KIND=int_8)) + 1\n\n item => dict%buckets(idx)%p\n do while (ASSOCIATED(item))\n IF (item%hash == hash) THEN\n IF (@{isequal(item%key, key)}@) THEN\n value ${value_assign}$item%value\n return\n END IF\n END IF\n item => item%next\n end do\n\n IF (PRESENT(default_value)) THEN\n value ${value_assign}$default_value\n return\n END IF\n\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_get: Key not found in dictionary.\")\n END FUNCTION dict_${keytype}$_${valuetype}$_get\n\n FUNCTION dict_${keytype}$_${valuetype}$_size(dict) RESULT(size)\n !! Returns the number of key/value-items currently stored in the dictionary.\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n INTEGER :: size\n\n IF (.not. ASSOCIATED(dict%buckets)) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_size: dictionary is not initialized.\")\n\n size = dict%size\n END FUNCTION dict_${keytype}$_${valuetype}$_size\n\n FUNCTION dict_${keytype}$_${valuetype}$_haskey(dict, key) RESULT(res)\n !! Checks whether a given key is currently stored in the dictionary.\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n ${keytype_fort}$ :: key\n LOGICAL :: res\n TYPE(private_item_type_${keytype}$_${valuetype}$), POINTER :: item\n INTEGER(KIND=int_8) :: hash, idx\n\n IF (.not. ASSOCIATED(dict%buckets)) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_haskey: dictionary is not initialized.\")\n\n res = .FALSE.\n IF (dict%size == 0) RETURN\n\n hash = hash_${keytype}$ (key)\n idx = MOD(hash, INT(size(dict%buckets), KIND=int_8)) + 1\n\n item => dict%buckets(idx)%p\n do while (ASSOCIATED(item))\n IF (item%hash == hash) THEN\n IF (@{isequal(item%key, key)}@) THEN\n res = .TRUE.\n return\n END IF\n END IF\n item => item%next\n end do\n\n END FUNCTION dict_${keytype}$_${valuetype}$_haskey\n\n FUNCTION dict_${keytype}$_${valuetype}$_items(dict) RESULT(items)\n !! Returns a pointer to an array of all key/value-items stored in the dictionary.\n !! Caution: The caller is responsible for deallocating targeted array after usage.\n TYPE(dict_${keytype}$_${valuetype}$_type), intent(inout) :: dict\n TYPE(dict_${keytype}$_${valuetype}$_item_type), dimension(:), POINTER :: items\n\n TYPE(private_item_type_${keytype}$_${valuetype}$), POINTER :: item\n INTEGER :: i, j\n\n IF (.not. ASSOCIATED(dict%buckets)) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_items: dictionary is not initialized.\")\n\n allocate (items(dict%size))\n j = 1\n do i = 1, size(dict%buckets)\n item => dict%buckets(i)%p\n do while (ASSOCIATED(item))\n items(j)%key ${key_assign}$item%key\n items(j)%value ${value_assign}$item%value\n j = j + 1\n item => item%next\n end do\n end do\n\n IF (j /= dict%size + 1) &\n DBCSR_ABORT(\"dict_${keytype}$_${valuetype}$_items: assertion failed!\")\n END FUNCTION dict_${keytype}$_${valuetype}$_items\n\n #:endfor\n\nEND MODULE dbcsr_dict\n" }, { "path": "src/core/dbcsr_dict.fypp", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n\n#:mute\n\n#:set keytype = ['str', 'i4tuple']\n#:set valuetype = ['i4', 'callstat']\n\n#:set keyvalue_list = list(zip(keytype, valuetype))\n\n#:set keytype_fort = ['CHARACTER(LEN=default_string_length)', 'INTEGER(kind=int_4), dimension(2)']\n#:set valuetype_fort = ['INTEGER(kind=int_4)', 'TYPE(call_stat_type), POINTER']\n#:set key_assign = ['=', '=']\n#:set value_assign = ['=', '=>']\n#:set default_key = ['\"\"', '-1_int_4']\n#:set default_value = ['-1_int_4', 'NULL()']\n\n#:def isequal_str(k1, k2)\n${k1}$ == ${k2}$\n#:enddef\n\n#:def isequal_i4tuple(k1, k2)\nALL(${k1}$==${k2}$)\n#:enddef\n\n#:set isequal = [isequal_str, isequal_i4tuple]\n\n#:def hash_str()\nFUNCTION hash_str(key) RESULT(hash)\n !! This is joaat_hash from string_table.F, generates the hash of a given string\n !! @note\n !! http://en.wikipedia.org/wiki/Hash_table\n !! http://www.burtleburtle.net/bob/hash/doobs.html\n\n CHARACTER(LEN=*), INTENT(IN) :: key\n !! key a string of any length\n INTEGER(KIND=int_8) :: hash\n INTEGER(KIND=int_8), PARAMETER :: b32 = 2_int_8**32-1_int_8\n INTEGER :: i\n\n hash=0_int_8\n DO i=1,LEN(key)\n hash=IAND(hash+ICHAR(key(i:i)) ,b32)\n hash=IAND( hash+IAND(ISHFT(hash,10),b32) ,b32)\n hash=IAND(IEOR(hash,IAND(ISHFT(hash,-6),b32)) ,b32)\n ENDDO\n hash=IAND( hash+IAND(ISHFT(hash, 3),b32) ,b32)\n hash=IAND(IEOR(hash,IAND(ISHFT(hash,-11),b32)) ,b32)\n hash=IAND( hash+IAND(ISHFT(hash, 15),b32) ,b32)\nEND FUNCTION hash_str\n#:enddef\n\n#:def hash_i4tuple()\nFUNCTION hash_i4tuple(key) RESULT(hash)\n INTEGER(kind=int_4), dimension(2), INTENT(IN) :: key\n INTEGER(kind=int_4) :: hash\n hash = SUM(key)\nEND FUNCTION hash_i4tuple\n#:enddef\n\n#:set hash_fct = [hash_str(), hash_i4tuple()]\n\n#:set usekinds = ['default_string_length', 'int_8', 'int_4']\n#:set usetimings = ['call_stat_type']\n\n\n#:set inst_params = list(zip(keytype, valuetype, keytype_fort, valuetype_fort, key_assign, value_assign, isequal, default_key, default_value))\n\n#:def uselist(list_in)\n#! comma-separated list of unique entries of list_in\n$: \", \".join(list(set(list_in)))\n#:enddef\n\n#:endmute\n" }, { "path": "src/core/dbcsr_error_handling.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_error_handling\n !! Module that contains the routines for error handling\n USE dbcsr_base_hooks, ONLY: dbcsr_abort_hook, &\n dbcsr_warn_hook\n USE dbcsr_kinds, ONLY: dp\n USE dbcsr_log_handling, ONLY: dbcsr_logger_get_default_io_unit\n USE dbcsr_machine, ONLY: default_output_unit, &\n m_flush, &\n m_walltime\n USE dbcsr_mpiwrap, ONLY: mp_abort\n USE dbcsr_print_messages, ONLY: print_message\n USE dbcsr_timings, ONLY: print_stack\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_error_handling'\n\n !API public routines\n PUBLIC :: dbcsr_error_handling_setup\n\n !API (via pointer assignment to hook, PR67982, not meant to be called directly)\n PUBLIC :: dbcsr_abort_handler, dbcsr_warn_handler\n\n INTEGER, PUBLIC, SAVE :: warning_counter = 0\n\nCONTAINS\n\n SUBROUTINE dbcsr_error_handling_setup()\n !! Registers handlers with base_hooks.F\n dbcsr_abort_hook => dbcsr_abort_handler\n dbcsr_warn_hook => dbcsr_warn_handler\n END SUBROUTINE dbcsr_error_handling_setup\n\n SUBROUTINE dbcsr_abort_handler(location, message)\n !! Abort program with error message\n CHARACTER(len=*), INTENT(in) :: location, message\n\n INTEGER :: unit_nr\n\n CALL delay_non_master() ! cleaner output if all ranks abort simultaneously\n\n unit_nr = dbcsr_logger_get_default_io_unit()\n IF (unit_nr <= 0) &\n unit_nr = default_output_unit ! fall back to stdout\n\n CALL print_abort_message(message, location, unit_nr)\n CALL print_stack(unit_nr)\n CALL m_flush(unit_nr)\n\n CALL mp_abort()\n END SUBROUTINE dbcsr_abort_handler\n\n SUBROUTINE dbcsr_warn_handler(location, message)\n !! Signal a warning\n CHARACTER(len=*), INTENT(in) :: location, message\n\n INTEGER :: unit_nr\n\n!$OMP MASTER\n warning_counter = warning_counter + 1\n!$OMP END MASTER\n\n unit_nr = dbcsr_logger_get_default_io_unit()\n IF (unit_nr > 0) THEN\n CALL print_message(\"WARNING in \"//TRIM(location)//' :: '//TRIM(ADJUSTL(message)), unit_nr, 1, 1, 1)\n CALL m_flush(unit_nr)\n END IF\n END SUBROUTINE dbcsr_warn_handler\n\n SUBROUTINE delay_non_master()\n !! Delay non-master ranks/threads, used by dbcsr_abort_handler()\n INTEGER :: unit_nr\n REAL(KIND=dp) :: t1, wait_time\n\n wait_time = 0.0_dp\n\n ! we (ab)use the logger to determine the first MPI rank\n unit_nr = dbcsr_logger_get_default_io_unit()\n IF (unit_nr <= 0) &\n wait_time = wait_time + 1.0_dp ! rank-0 gets a head start of one second.\n\n!$ IF (omp_get_thread_num() /= 0) &\n!$ wait_time = wait_time + 1.0_dp ! master threads gets another second\n\n ! sleep\n IF (wait_time > 0.0_dp) THEN\n t1 = m_walltime()\n DO\n IF (m_walltime() - t1 > wait_time .OR. t1 < 0) EXIT\n END DO\n END IF\n\n END SUBROUTINE delay_non_master\n\n SUBROUTINE print_abort_message(message, location, output_unit)\n !! Prints a nicely formatted abort message box\n CHARACTER(LEN=*), INTENT(IN) :: message, location\n INTEGER, INTENT(IN) :: output_unit\n\n CHARACTER(LEN=*), PARAMETER :: img = \" ___ \"//\" / \\ \"//\" [ABORT] \"//\" \\___/ \"// &\n \" | \"//\" O/| \"//\" /| | \"//\" / \\ \"\n INTEGER, PARAMETER :: img_height = 8, img_width = 9, screen_width = 80, &\n txt_width = screen_width - img_width - 5\n\n CHARACTER(LEN=screen_width) :: msg_line\n INTEGER :: a, b, c, fill, i, img_start, indent, &\n msg_height, msg_start\n\n! count message lines\n\n a = 1; b = -1; msg_height = 0\n DO WHILE (b < LEN_TRIM(message))\n b = next_linebreak(message, a, txt_width)\n a = b + 1\n msg_height = msg_height + 1\n END DO\n\n ! calculate message and image starting lines\n IF (img_height > msg_height) THEN\n msg_start = (img_height - msg_height)/2 + 1\n img_start = 1\n ELSE\n msg_start = 1\n img_start = msg_height - img_height + 2\n END IF\n\n ! print empty line\n WRITE (UNIT=output_unit, FMT=\"(A)\") \"\"\n\n ! print opening line\n WRITE (UNIT=output_unit, FMT=\"(T2,A)\") REPEAT(\"*\", screen_width - 1)\n\n ! print body\n a = 1; b = -1; c = 1\n DO i = 1, MAX(img_height - 1, msg_height)\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') \" *\"\n IF (i < img_start) THEN\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') REPEAT(\" \", img_width)\n ELSE\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') img(c:c + img_width - 1)\n c = c + img_width\n END IF\n IF (i < msg_start) THEN\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') REPEAT(\" \", txt_width + 2)\n ELSE\n b = next_linebreak(message, a, txt_width)\n msg_line = message(a:b)\n a = b + 1\n fill = (txt_width - LEN_TRIM(msg_line))/2 + 1\n indent = txt_width - LEN_TRIM(msg_line) - fill + 2\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') REPEAT(\" \", indent)\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') TRIM(msg_line)\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') REPEAT(\" \", fill)\n END IF\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='yes') \"*\"\n END DO\n\n ! print location line\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') \" *\"\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') img(c:c + img_width - 1)\n indent = txt_width - LEN_TRIM(location) + 1\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') REPEAT(\" \", indent)\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='no') TRIM(location)\n WRITE (UNIT=output_unit, FMT=\"(A)\", advance='yes') \" *\"\n\n ! print closing line\n WRITE (UNIT=output_unit, FMT=\"(T2,A)\") REPEAT(\"*\", screen_width - 1)\n\n ! print empty line\n WRITE (UNIT=output_unit, FMT=\"(A)\") \"\"\n\n END SUBROUTINE print_abort_message\n\n FUNCTION next_linebreak(message, pos, rowlen) RESULT(ibreak)\n !! Helper routine for print_abort_message()\n CHARACTER(LEN=*), INTENT(IN) :: message\n INTEGER, INTENT(IN) :: pos, rowlen\n INTEGER :: ibreak\n\n INTEGER :: i, n\n\n n = LEN_TRIM(message)\n IF (n - pos <= rowlen) THEN\n ibreak = n ! remaining message shorter than line\n ELSE\n i = INDEX(message(pos + 1:pos + 1 + rowlen), \" \", BACK=.TRUE.)\n IF (i == 0) THEN\n ibreak = pos + rowlen - 1 ! no space found, break mid-word\n ELSE\n ibreak = pos + i ! break at space closest to rowlen\n END IF\n END IF\n END FUNCTION next_linebreak\n\nEND MODULE dbcsr_error_handling\n" }, { "path": "src/core/dbcsr_iter_types.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_iter_types\n !! Collection of routines to handle the iteration info\n USE dbcsr_kinds, ONLY: default_path_length, &\n default_string_length\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n ! iteration_info\n PUBLIC :: dbcsr_iteration_info_type, &\n dbcsr_iteration_info_create, &\n dbcsr_iteration_info_retain, &\n dbcsr_iteration_info_release\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_iter_types'\n LOGICAL, PRIVATE, PARAMETER :: debug_this_module = .FALSE.\n INTEGER, SAVE, PRIVATE :: last_it_info_id = 0\n\n TYPE dbcsr_iteration_info_type\n !! contains the information about the current state of the program\n !! to be able to decide if output is necessary\n\n INTEGER :: ref_count = -1, id_nr = -1\n INTEGER :: print_level = -1, n_rlevel = -1\n INTEGER, DIMENSION(:), POINTER :: iteration => NULL()\n LOGICAL, DIMENSION(:), POINTER :: last_iter => NULL()\n CHARACTER(len=default_string_length) :: project_name = \"\"\n CHARACTER(LEN=default_string_length), &\n DIMENSION(:), POINTER :: level_name => NULL()\n END TYPE dbcsr_iteration_info_type\n\nCONTAINS\n\n SUBROUTINE dbcsr_iteration_info_create(iteration_info, project_name)\n !! creates an output info object\n\n TYPE(dbcsr_iteration_info_type), POINTER :: iteration_info\n !! the object to create\n CHARACTER(len=*), INTENT(in) :: project_name\n !! name of the project, used to create the filenames\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_iteration_info_create', &\n routineP = moduleN//':'//routineN\n\n INTEGER :: stat\n\n ALLOCATE (iteration_info, stat=stat)\n IF (stat /= 0) &\n DBCSR_ABORT(routineP//\" could not allocate iteration_info\")\n\n last_it_info_id = last_it_info_id + 1\n iteration_info%id_nr = last_it_info_id\n iteration_info%ref_count = 1\n iteration_info%print_level = 2\n iteration_info%n_rlevel = 1\n iteration_info%project_name = project_name\n NULLIFY (iteration_info%iteration)\n NULLIFY (iteration_info%level_name)\n NULLIFY (iteration_info%last_iter)\n ALLOCATE (iteration_info%iteration(iteration_info%n_rlevel), stat=stat)\n IF (stat /= 0) THEN\n DBCSR_ABORT(routineP//\" iteration_info%iteration allocation\")\n END IF\n ALLOCATE (iteration_info%level_name(iteration_info%n_rlevel), stat=stat)\n IF (stat /= 0) THEN\n DBCSR_ABORT(routineP//\" iteration_info%level_name allocation\")\n END IF\n ALLOCATE (iteration_info%last_iter(iteration_info%n_rlevel), stat=stat)\n IF (stat /= 0) THEN\n DBCSR_ABORT(routineP//\" iteration_info%last_iter allocation\")\n END IF\n iteration_info%iteration(iteration_info%n_rlevel) = 1\n iteration_info%level_name(iteration_info%n_rlevel) = \"__ROOT__\"\n iteration_info%last_iter(iteration_info%n_rlevel) = .FALSE.\n\n END SUBROUTINE dbcsr_iteration_info_create\n\n SUBROUTINE dbcsr_iteration_info_retain(iteration_info)\n !! retains the iteration_info (see doc/ReferenceCounting.html)\n\n TYPE(dbcsr_iteration_info_type), POINTER :: iteration_info\n !! the iteration_info to retain\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_iteration_info_retain', &\n routineP = moduleN//':'//routineN\n\n IF (.NOT. ASSOCIATED(iteration_info)) THEN\n DBCSR_ABORT(routineP//\" iteration_info not associated\")\n END IF\n IF (iteration_info%ref_count <= 0) THEN\n DBCSR_ABORT(routineP//\" iteration_info%ref_counf<=0\")\n END IF\n iteration_info%ref_count = iteration_info%ref_count + 1\n END SUBROUTINE dbcsr_iteration_info_retain\n\n SUBROUTINE dbcsr_iteration_info_release(iteration_info)\n !! releases the iteration_info (see doc/ReferenceCounting.html)\n\n TYPE(dbcsr_iteration_info_type), POINTER :: iteration_info\n !! the iteration_info to release\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_iteration_info_release', &\n routineP = moduleN//':'//routineN\n\n IF (ASSOCIATED(iteration_info)) THEN\n IF (iteration_info%ref_count <= 0) THEN\n DBCSR_ABORT(routineP//\" iteration_info%ref_counf<=0\")\n END IF\n iteration_info%ref_count = iteration_info%ref_count - 1\n IF (iteration_info%ref_count == 0) THEN\n IF (ASSOCIATED(iteration_info%iteration)) THEN\n DEALLOCATE (iteration_info%iteration)\n END IF\n IF (ASSOCIATED(iteration_info%last_iter)) THEN\n DEALLOCATE (iteration_info%last_iter)\n END IF\n IF (ASSOCIATED(iteration_info%level_name)) THEN\n DEALLOCATE (iteration_info%level_name)\n END IF\n DEALLOCATE (iteration_info)\n END IF\n END IF\n END SUBROUTINE dbcsr_iteration_info_release\n\nEND MODULE dbcsr_iter_types\n" }, { "path": "src/core/dbcsr_lib.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_lib\n\n !! Routines that affect the DBCSR library as a whole\n USE dbcsr_acc_init, ONLY: acc_finalize, acc_init\n USE dbcsr_acc_device, ONLY: dbcsr_acc_get_ndevices\n USE dbcsr_config, ONLY: set_accdrv_active_device_id, &\n reset_accdrv_active_device_id, &\n dbcsr_set_config, &\n use_acc\n USE dbcsr_kinds, ONLY: int_1_size, &\n int_2_size, &\n int_4_size, &\n int_8_size, dp\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mpiwrap, ONLY: add_mp_perf_env, &\n describe_mp_perf_env, &\n has_mp_perf_env, &\n mp_environ, mp_cart_rank, &\n rm_mp_perf_env, &\n mp_comm_free, &\n mp_get_comm_count, mp_comm_type, mp_comm_null\n USE dbcsr_mm, ONLY: dbcsr_multiply_clear_mempools, &\n dbcsr_multiply_lib_finalize, &\n dbcsr_multiply_lib_init, &\n dbcsr_multiply_print_statistics\n USE dbcsr_timings, ONLY: add_timer_env, &\n rm_timer_env, &\n timings_register_hooks\n USE dbcsr_timings_report, ONLY: cost_type_time, &\n timings_report_callgraph, &\n timings_report_print\n USE dbcsr_log_handling, ONLY: dbcsr_add_default_logger, &\n dbcsr_logger_create, &\n dbcsr_logger_release, &\n dbcsr_logger_type, &\n dbcsr_rm_default_logger\n USE dbcsr_base_hooks, ONLY: timeset_hook, &\n timestop_hook, &\n dbcsr_abort_hook, &\n dbcsr_warn_hook, &\n dbcsr_abort_interface, dbcsr_warn_interface, &\n timeset_interface, timestop_interface\n use dbcsr_types, only: dbcsr_mp_obj\n use dbcsr_mp_methods, only: dbcsr_mp_new, dbcsr_mp_release, &\n dbcsr_mp_make_env\n use dbcsr_error_handling, only: dbcsr_error_handling_setup\n\n#include \"base/dbcsr_base_uses.f90\"\n\n#if defined (__DBCSR_ACC)\n USE ISO_C_BINDING, ONLY: C_INT\n#endif\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_lib'\n\n PUBLIC :: dbcsr_init_lib, dbcsr_finalize_lib, dbcsr_clear_mempools\n PUBLIC :: dbcsr_print_statistics\n\n LOGICAL, PRIVATE, SAVE :: is_initialized = .FALSE.\n LOGICAL, PRIVATE, SAVE :: check_comm_count = .FALSE.\n\n TYPE(dbcsr_logger_type), POINTER :: logger => Null()\n TYPE(dbcsr_mp_obj), SAVE :: mp_env\n TYPE(mp_comm_type), SAVE :: default_group = mp_comm_null\n INTEGER, SAVE :: ext_io_unit\n\n INTERFACE dbcsr_init_lib\n MODULE PROCEDURE dbcsr_init_lib_def\n MODULE PROCEDURE dbcsr_init_lib_hooks\n END INTERFACE\n\n#if defined (__DBCSR_ACC)\n INTERFACE\n FUNCTION libsmm_acc_is_thread_safe() &\n RESULT(thread_safe) &\n BIND(C, name=\"libsmm_acc_is_thread_safe\")\n IMPORT\n INTEGER(KIND=C_INT) :: thread_safe\n END FUNCTION libsmm_acc_is_thread_safe\n END INTERFACE\n\n INTERFACE\n FUNCTION libsmm_acc_gpu_warp_size() &\n RESULT(warp_size) &\n BIND(C, name=\"libsmm_acc_gpu_warp_size\")\n IMPORT\n INTEGER(KIND=C_INT) :: warp_size\n END FUNCTION libsmm_acc_gpu_warp_size\n END INTERFACE\n#endif\n\nCONTAINS\n\n SUBROUTINE dbcsr_init_lib_def(mp_comm, io_unit, accdrv_active_device_id)\n !! Initialize the DBCSR library using internal loggers and timer callbacks\n !! We do not need this routine within the library, so we keep the communicator as a handle\n !! and convert it here to a communicator type\n INTEGER, INTENT(IN) :: mp_comm\n INTEGER, INTENT(IN), OPTIONAL :: io_unit, accdrv_active_device_id\n\n TYPE(mp_comm_type) :: my_mp_comm\n\n IF (is_initialized) THEN\n ! Update ext_io_unit\n IF (.NOT. ASSOCIATED(logger) .AND. PRESENT(io_unit)) ext_io_unit = io_unit\n RETURN\n END IF\n CALL my_mp_comm%set_handle(mp_comm)\n CALL dbcsr_init_lib_pre(my_mp_comm, io_unit, accdrv_active_device_id)\n !\n ! Declare loggers\n CALL dbcsr_logger_create(logger, mp_env=mp_env, &\n default_global_unit_nr=ext_io_unit, &\n close_global_unit_on_dealloc=.FALSE.)\n CALL dbcsr_add_default_logger(logger)\n CALL dbcsr_logger_release(logger)\n ! abort/warn hooks\n CALL dbcsr_error_handling_setup()\n ! timeset/timestop hooks\n CALL timings_register_hooks()\n ! timer environment\n CALL add_mp_perf_env()\n CALL add_timer_env()\n !\n CALL dbcsr_init_lib_low()\n END SUBROUTINE dbcsr_init_lib_def\n\n SUBROUTINE dbcsr_init_lib_hooks(mp_comm, &\n in_timeset_hook, in_timestop_hook, &\n in_abort_hook, in_warn_hook, io_unit, &\n accdrv_active_device_id)\n !! Initialize the DBCSR library using external loggers and timer callbacks\n !! We do not need this routine within the library, so we keep the communicator as a handle\n !! and convert it here to a communicator type\n INTEGER, INTENT(IN) :: mp_comm\n PROCEDURE(timeset_interface), INTENT(IN), POINTER :: in_timeset_hook\n PROCEDURE(timestop_interface), INTENT(IN), POINTER :: in_timestop_hook\n PROCEDURE(dbcsr_abort_interface), INTENT(IN), POINTER :: in_abort_hook\n PROCEDURE(dbcsr_warn_interface), INTENT(IN), POINTER :: in_warn_hook\n INTEGER, INTENT(IN), OPTIONAL :: io_unit, accdrv_active_device_id\n\n TYPE(mp_comm_type) :: my_mp_comm\n\n IF (is_initialized) THEN\n ! Update ext_io_unit\n IF (.NOT. ASSOCIATED(logger) .AND. PRESENT(io_unit)) ext_io_unit = io_unit\n RETURN\n END IF\n CALL my_mp_comm%set_handle(mp_comm)\n CALL dbcsr_init_lib_pre(my_mp_comm, io_unit, accdrv_active_device_id)\n ! abort/warn hooks\n dbcsr_abort_hook => in_abort_hook\n dbcsr_warn_hook => in_warn_hook\n ! timeset/timestop hooks\n timeset_hook => in_timeset_hook\n timestop_hook => in_timestop_hook\n ! timer environment is assumed\n !\n CALL dbcsr_init_lib_low()\n END SUBROUTINE dbcsr_init_lib_hooks\n\n SUBROUTINE dbcsr_init_lib_pre(mp_comm, io_unit, accdrv_active_device_id)\n !! Initialize the DBCSR library\n !! Prepares the DBCSR library for use.\n\n#if defined(__LIBXSMM)\n USE libxsmm, ONLY: libxsmm_init\n#endif\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n INTEGER, INTENT(IN), OPTIONAL :: io_unit, accdrv_active_device_id\n\n INTEGER :: numnodes, mynode\n\n#if defined(__DBCSR_ACC)\n INTEGER :: dbcsr_thread_safe, libsmm_acc_thread_safe\n#endif\n\n ! construct defaults which were unknown at compile-time (dbcsr_config_type)\n CALL dbcsr_set_config()\n\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n IF (PRESENT(io_unit)) THEN\n ext_io_unit = io_unit\n ELSE\n ext_io_unit = 0\n IF (mynode .EQ. 0) ext_io_unit = default_output_unit\n END IF\n\n ! if MPI was not initialized in DBCSR, then need to check for the number of communicators\n ! when we finalize DBCSR\n IF (mp_get_comm_count() .EQ. 0) THEN\n check_comm_count = .TRUE.\n END IF\n CALL dbcsr_mp_make_env(mp_env, default_group, mp_comm)\n\n#if defined(__LIBXSMM)\n CALL libxsmm_init()\n#endif\n\n ! Initialize Acc and set active device\n IF (use_acc()) THEN\n IF (PRESENT(accdrv_active_device_id)) THEN\n CALL set_accdrv_active_device_id(accdrv_active_device_id)\n ELSEIF (dbcsr_acc_get_ndevices() > 0) THEN\n ! Use round-robin assignment per rank\n CALL set_accdrv_active_device_id(MOD(mynode, dbcsr_acc_get_ndevices()))\n ELSE\n DBCSR_ABORT(\"dbcsr_init_lib: No recognized GPU devices\")\n END IF\n CALL acc_init()\n END IF\n\n#if defined(__DBCSR_ACC)\n ! Checks related to DBCSR's GPU backend: check consistency in threading level\n libsmm_acc_thread_safe = libsmm_acc_is_thread_safe() ! 0: not threaded, 1: threaded\n dbcsr_thread_safe = 0 ! not threaded\n!$ dbcsr_thread_safe = 1 ! if DBCSR is compiled with openmp, set to threaded\n ! Check whether DBCSR and libsmm_acc (GPU backend) have the same level of threading\n IF (dbcsr_thread_safe /= libsmm_acc_thread_safe) then\n IF (dbcsr_thread_safe /= 0) then\n CALL dbcsr_abort(__LOCATION__, &\n \"DBCSR compiled w/ threading support while libsmm_acc compiled w/o threading support.\")\n ELSE\n CALL dbcsr_abort(__LOCATION__, &\n \"DBCSR compiled w/o threading support while libsmm_acc is compiled w/ threading support.\")\n END IF\n END IF\n#endif\n END SUBROUTINE dbcsr_init_lib_pre\n\n SUBROUTINE dbcsr_init_lib_low()\n !! Initialize the DBCSR library\n !! Prepares the DBCSR library for use.\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_init_lib_low'\n\n INTEGER :: error_handle\n\n CALL timeset(routineN, error_handle)\n !\n IF (int_1_size /= 1) &\n DBCSR_ABORT(\"Incorrect assumption of an 8-bit integer size!\")\n IF (int_2_size /= 2) &\n DBCSR_ABORT(\"Incorrect assumption of a 16-bit integer size!\")\n IF (int_4_size /= 4) &\n DBCSR_ABORT(\"Incorrect assumption of a 32-bit integer size!\")\n IF (int_8_size /= 8) &\n DBCSR_ABORT(\"Incorrect assumption of a 64-bit integer size!\")\n\n IF (.NOT. has_mp_perf_env()) THEN\n CALL add_mp_perf_env()\n END IF\n\n!$OMP PARALLEL DEFAULT(NONE)\n CALL dbcsr_multiply_lib_init()\n!$OMP END PARALLEL\n\n is_initialized = .TRUE.\n\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_init_lib_low\n\n SUBROUTINE dbcsr_finalize_lib()\n !! Finalize the DBCSR library\n !! Cleans up after the DBCSR library. Used to deallocate persistent objects.\n\n#if defined(__LIBXSMM)\n USE libxsmm, ONLY: libxsmm_finalize\n#endif\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_finalize_lib'\n\n INTEGER :: error_handle\n\n IF (.NOT. is_initialized) RETURN\n CALL timeset(routineN, error_handle)\n\n!$OMP PARALLEL DEFAULT(NONE) SHARED(ext_io_unit, default_group)\n CALL dbcsr_multiply_lib_finalize()\n!$OMP END PARALLEL\n\n is_initialized = .FALSE.\n CALL timestop(error_handle)\n\n IF (ASSOCIATED(logger)) THEN\n CALL dbcsr_rm_default_logger()\n CALL rm_mp_perf_env()\n CALL rm_timer_env()\n NULLIFY (logger)\n END IF\n NULLIFY (timeset_hook)\n NULLIFY (timestop_hook)\n NULLIFY (dbcsr_abort_hook)\n NULLIFY (dbcsr_warn_hook)\n CALL dbcsr_mp_release(mp_env)\n CALL mp_comm_free(default_group)\n#if defined(__LIBXSMM)\n CALL libxsmm_finalize()\n#endif\n ! Reset Acc ID\n CALL reset_accdrv_active_device_id()\n IF (use_acc()) THEN\n CALL acc_finalize()\n END IF\n\n ! Check the number of communicators\n IF (check_comm_count .AND. mp_get_comm_count() .NE. 0) THEN\n DBCSR_ABORT(\"Number of DBCSR sub-communicators is not zero!\")\n END IF\n END SUBROUTINE dbcsr_finalize_lib\n\n SUBROUTINE dbcsr_print_statistics(print_timers, callgraph_filename)\n !! Show the whole DBCSR statistics\n !! Prepares the DBCSR library for use.\n\n LOGICAL, INTENT(IN), OPTIONAL :: print_timers\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: callgraph_filename\n\n LOGICAL :: my_print_timers\n\n IF (ext_io_unit > 0) THEN\n WRITE (UNIT=ext_io_unit, FMT=\"(/,T2,A)\") REPEAT(\"-\", 79)\n WRITE (UNIT=ext_io_unit, FMT=\"(T2,A,T80,A)\") \"-\", \"-\"\n WRITE (UNIT=ext_io_unit, FMT=\"(T2,A,T35,A,T80,A)\") \"-\", \"DBCSR STATISTICS\", \"-\"\n WRITE (UNIT=ext_io_unit, FMT=\"(T2,A,T80,A)\") \"-\", \"-\"\n WRITE (UNIT=ext_io_unit, FMT=\"(T2,A)\") REPEAT(\"-\", 79)\n END IF\n\n call dbcsr_multiply_print_statistics(default_group, ext_io_unit)\n\n IF (ext_io_unit > 0) WRITE (UNIT=ext_io_unit, FMT=\"(T2,A)\") REPEAT(\"-\", 79)\n\n CALL describe_mp_perf_env(ext_io_unit)\n\n my_print_timers = .FALSE.\n IF (PRESENT(print_timers)) my_print_timers = print_timers\n IF (my_print_timers) CALL dbcsr_print_timers()\n\n ! Dump callgraph\n IF (PRESENT(callgraph_filename) .AND. ASSOCIATED(logger)) THEN\n CALL timings_report_callgraph(callgraph_filename)\n END IF\n END SUBROUTINE dbcsr_print_statistics\n\n SUBROUTINE dbcsr_print_timers()\n !! Print timers\n IF (ASSOCIATED(logger)) THEN\n CALL timings_report_print(ext_io_unit, 0.0_dp, .FALSE., cost_type_time, .TRUE., mp_env)\n END IF\n END SUBROUTINE dbcsr_print_timers\n\n SUBROUTINE dbcsr_clear_mempools()\n !! Deallocate memory contained in mempools\n\n!$OMP PARALLEL DEFAULT(NONE)\n CALL dbcsr_multiply_clear_mempools()\n!$OMP END PARALLEL\n END SUBROUTINE dbcsr_clear_mempools\n\nEND MODULE dbcsr_lib\n" }, { "path": "src/core/dbcsr_list.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include 'dbcsr_list.fypp'\nMODULE dbcsr_list\n !! An array-based list which grows on demand.\n !! When the internal array is full, a new array of twice the size will be\n !! allocated and the items are copied over.\n !! This list can also be used as a stack.\n !! Have look at list_push(), list_pop() and list_peek().\n !! @note\n !! it's not possible to put all templates in a single module because this would lead to circular\n !! dependencies (timer_env_type contains list_routinestat_type and list_callstackentry_type, and\n !! list_timerenv_type contains timer_env_type)\n !! @endnote\n\n USE dbcsr_timings_base_type, ONLY: ${uselist(usetimingsbase)}$\n USE dbcsr_list_callstackentry, ONLY: @{uselist_listmethods(callstackentry)}@\n USE dbcsr_list_routinereport, ONLY: @{uselist_listmethods(routinereport)}@\n USE dbcsr_list_routinestat, ONLY: @{uselist_listmethods(routinestat)}@\n USE dbcsr_list_timerenv, ONLY: @{uselist_listmethods(timerenv)}@\n\n#include \"base/dbcsr_base_uses.f90\"\n IMPLICIT NONE\n\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_list'\n\n PUBLIC :: list_init, list_isready, list_push, list_pop, list_peek, &\n list_get, list_size, list_destroy\n\n #:for vtype in valuetype\n PUBLIC :: list_${vtype}$_type\n #:endfor\n\n INTERFACE list_init\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_init\n #:endfor\n END INTERFACE\n\n INTERFACE list_isready\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_isready\n #:endfor\n END INTERFACE\n\n INTERFACE list_push\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_push\n #:endfor\n END INTERFACE\n\n INTERFACE list_pop\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_pop\n #:endfor\n END INTERFACE\n\n INTERFACE list_peek\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_peek\n #:endfor\n END INTERFACE\n\n INTERFACE list_insert\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_insert\n #:endfor\n END INTERFACE\n\n INTERFACE list_set\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_set\n #:endfor\n END INTERFACE\n\n INTERFACE list_get\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_get\n #:endfor\n END INTERFACE\n\n INTERFACE list_del\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_del\n #:endfor\n END INTERFACE\n\n INTERFACE list_clear\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_clear\n #:endfor\n END INTERFACE\n\n INTERFACE list_size\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_size\n #:endfor\n END INTERFACE\n\n INTERFACE list_destroy\n #:for vtype in valuetype\n MODULE PROCEDURE list_${vtype}$_destroy\n #:endfor\n END INTERFACE\n\nEND MODULE dbcsr_list\n" }, { "path": "src/core/dbcsr_list.fypp", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n\n#:mute\n\n#:set valuetype = ['timerenv', 'routinestat', 'routinereport', 'callstackentry']\n#:set usetimings = ['timer_env_type']\n#:set usetimingsbase = ['routine_stat_type', 'routine_report_type', 'callstack_entry_type']\n#:set valuetype_in = ['TYPE(timer_env_type), POINTER', 'TYPE(routine_stat_type), POINTER', 'TYPE(routine_report_type), POINTER', 'TYPE(callstack_entry_type)']\n#:set valuetype_out = valuetype_in\n#:set value_assign = ['=>','=>','=>','=']\n\n#:set inst_params = list(zip(valuetype, valuetype_in, valuetype_out, value_assign))\n\n#:def uselist(list_in)\n#! comma-separated list of unique entries of list_in\n$: \", \".join(list(set(list_in)))\n#:enddef\n\n#:def uselist_listmethods(t)\n$:\", \".join(['list_'+t+'_type', 'list_'+t+'_init', 'list_'+t+'_push', 'list_'+t+'_pop', 'list_'+t+'_peek', &\n'list_'+t+'_insert', 'list_'+t+'_set', 'list_'+t+'_get', 'list_'+t+'_del', 'list_'+t+'_clear', &\n'list_'+t+'_size', 'list_'+t+'_destroy', 'list_'+t+'_isready'])\n#:enddef\n\n#:def list_body(valuetype, valuetype_in, valuetype_out, value_assign)\n\n#include \"base/dbcsr_base_uses.f90\"\nIMPLICIT NONE\nPRIVATE\n\nPUBLIC :: ${uselist_listmethods(valuetype)}$\n\n!this is an internal type\nTYPE private_item_type_${valuetype}$\n PRIVATE\n ${valuetype_out}$ :: value\nEND TYPE private_item_type_${valuetype}$\n\n!this is an internal type\nTYPE private_item_p_type_${valuetype}$\n PRIVATE\n TYPE(private_item_type_${valuetype}$), POINTER :: p => Null()\nEND TYPE private_item_p_type_${valuetype}$\n\n! this is the public type, which holds a list-instance\nTYPE list_${valuetype}$_type\n PRIVATE\n TYPE(private_item_p_type_${valuetype}$), DIMENSION(:), POINTER :: arr => Null()\n INTEGER :: size = -1\nEND TYPE list_${valuetype}$_type\n\nCONTAINS\n\nFUNCTION list_${valuetype}$_isready(list) RESULT(res)\n !! Test if the given list has been initialized.\n TYPE(list_${valuetype}$_type), intent(in) :: list\n LOGICAL :: res\n res = ASSOCIATED(list%arr)\nEND FUNCTION list_${valuetype}$_isready\n\nSUBROUTINE list_${valuetype}$_init(list, initial_capacity)\n !! Allocates the internal data-structures of the given list.\n !! This has to be called before any of the other routines.\n !! For deallocation call list_[valuetype]_destroy.\n\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n INTEGER, INTENT(in), OPTIONAL :: initial_capacity\n !! The initial size of the internal array (default=11).\n INTEGER :: stat\n INTEGER :: initial_capacity_\n\n initial_capacity_ = 11\n If(PRESENT(initial_capacity)) initial_capacity_ = initial_capacity\n\n IF(initial_capacity_ < 0) &\n DBCSR_ABORT(\"list_${valuetype}$_create: initial_capacity < 0\")\n\n IF(ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_create: list is already initialized.\")\n\n ALLOCATE(list%arr(initial_capacity_), stat=stat)\n IF (stat/=0)&\n DBCSR_ABORT(\"list_${valuetype}$_init: allocation failed\")\n\n list%size = 0\nEND SUBROUTINE list_${valuetype}$_init\n\nSUBROUTINE list_${valuetype}$_destroy(list)\n !! Deallocated the internal data-structures of the given list.\n !! Caution: If the stored values are pointers, their targets will\n !! not get deallocated by this routine.\n\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n INTEGER :: i\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_destroy: list is not initialized.\")\n\n do i=1, list%size\n deallocate(list%arr(i)%p)\n end do\n deallocate(list%arr)\n list%size = -1\nEND SUBROUTINE list_${valuetype}$_destroy\n\n\nSUBROUTINE list_${valuetype}$_set(list, value, pos)\n !! Assings the given value to the given position in the list.\n !! Thereby, the former value at that position gets overwritten.\n !! If the position is out of bounds, the program stops.\n\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n ${valuetype_in}$, intent(in) :: value\n INTEGER, intent(in) :: pos\n !! Position in the list - must fulfill 0 < pos < list_size+1.\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_set: list is not initialized.\")\n IF(pos < 1)&\n DBCSR_ABORT(\"list_${valuetype}$_set: pos < 1\")\n IF(pos > list%size)&\n DBCSR_ABORT(\"list_${valuetype}$_set: pos > size\")\n list%arr(pos)%p%value ${value_assign}$ value\nEND SUBROUTINE list_${valuetype}$_set\n\n\nSUBROUTINE list_${valuetype}$_push(list, value)\n !! Appends the given value at the end of the list.\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n ${valuetype_in}$, intent(in) :: value\n INTEGER :: stat\n\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_push: list is not initialized.\")\n if(list%size == size(list%arr)) &\n call change_capacity_${valuetype}$(list, 2*size(list%arr)+1)\n\n list%size = list%size + 1\n ALLOCATE(list%arr(list%size)%p, stat=stat)\n IF (stat/=0)&\n DBCSR_ABORT(\"list_${valuetype}$_push: allocation failed\")\n list%arr(list%size)%p%value ${value_assign}$ value\nEND SUBROUTINE list_${valuetype}$_push\n\n\nSUBROUTINE list_${valuetype}$_insert(list, value, pos)\n !! Inserts the given value at the given position within the list.\n !! Values which lay behind the insertion-position move one position up.\n\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n ${valuetype_in}$, intent(in) :: value\n INTEGER, intent(in) :: pos\n !! Position in the list - must fulfill 0 < pos < list_size+2 .\n INTEGER :: i, stat\n\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_insert: list is not initialized.\")\n IF(pos < 1)&\n DBCSR_ABORT(\"list_${valuetype}$_insert: pos < 1\")\n IF(pos > list%size+1)&\n DBCSR_ABORT(\"list_${valuetype}$_insert: pos > size+1\")\n\n if(list%size == size(list%arr)) &\n call change_capacity_${valuetype}$(list, 2*size(list%arr)+1)\n\n list%size = list%size + 1\n do i=list%size, pos+1, -1\n list%arr(i)%p => list%arr(i-1)%p\n end do\n\n ALLOCATE(list%arr(pos)%p, stat=stat)\n IF (stat/=0)&\n DBCSR_ABORT(\"list_${valuetype}$_insert: allocation failed.\")\n list%arr(pos)%p%value ${value_assign}$ value\nEND SUBROUTINE list_${valuetype}$_insert\n\n\nFUNCTION list_${valuetype}$_peek(list) RESULT(value)\n !! Returns the last element in the list.\n !! Is equivalent to: list_${valuetype}$_get(list, list_${valuetype}$_size(list))\n\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n ${valuetype_out}$ :: value\n\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_peek: list is not initialized.\")\n IF(list%size < 1) &\n DBCSR_ABORT(\"list_${valuetype}$_peek: list is empty.\")\n\n value ${value_assign}$ list%arr(list%size)%p%value\nEND FUNCTION list_${valuetype}$_peek\n\n\nFUNCTION list_${valuetype}$_pop(list) RESULT(value)\n !! Returns the last element in the list and removes it.\n !! Is equivialent to:\n !! value = list_${valuetype}$_get(list, list_${valuetype}$_size(list))\n !! call list_${valuetype}$_del(list, list_${valuetype}$_size(list))\n\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n ${valuetype_out}$ :: value\n\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_pop: list is not initialized.\")\n IF(list%size < 1) &\n DBCSR_ABORT(\"list_${valuetype}$_pop: list is empty.\")\n\n value ${value_assign}$ list%arr(list%size)%p%value\n deallocate(list%arr(list%size)%p)\n list%size = list%size - 1\nEND FUNCTION list_${valuetype}$_pop\n\n\n\nSUBROUTINE list_${valuetype}$_clear(list)\n !! Removes all values from the list. The list itself is not deallocated.\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n INTEGER :: i\n\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_clear: list is not initialized.\")\n\n do i=1, list%size\n deallocate(list%arr(i)%p)\n end do\n list%size = 0\nEND SUBROUTINE list_${valuetype}$_clear\n\n\n!\nFUNCTION list_${valuetype}$_get(list, pos) RESULT(value)\n !! Returns the value at the given position from the list.\n\n TYPE(list_${valuetype}$_type), intent(in) :: list\n INTEGER, intent(in) :: pos\n !! Position in the list - must fulfill 0 < pos < list_size+1 .\n ${valuetype_out}$ :: value\n\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_get: list is not initialized.\")\n IF(pos < 1)&\n DBCSR_ABORT(\"list_${valuetype}$_get: pos < 1\")\n IF(pos > list%size)&\n DBCSR_ABORT(\"list_${valuetype}$_get: pos > size\")\n\n value ${value_assign}$ list%arr(pos)%p%value\n\nEND FUNCTION list_${valuetype}$_get\n\n\nSUBROUTINE list_${valuetype}$_del(list, pos)\n !! Removes the value at the given position from the list.\n\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n INTEGER, intent(in) :: pos\n !! Position in the list - must fulfill 0 < pos < list_size+1 .\n INTEGER :: i\n\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_del: list is not initialized.\")\n IF(pos < 1)&\n DBCSR_ABORT(\"list_${valuetype}$_det: pos < 1\")\n IF(pos > list%size)&\n DBCSR_ABORT(\"list_${valuetype}$_det: pos > size\")\n\n deallocate(list%arr(pos)%p)\n do i=pos, list%size-1\n list%arr(i)%p => list%arr(i+1)%p\n end do\n\n list%size = list%size - 1\n\nEND SUBROUTINE list_${valuetype}$_del\n\nFUNCTION list_${valuetype}$_size(list) RESULT(size)\n !! Returns the current size of the list.\n TYPE(list_${valuetype}$_type), intent(in) :: list\n INTEGER :: size\n\n IF(.not. ASSOCIATED(list%arr)) &\n DBCSR_ABORT(\"list_${valuetype}$_size: list is not initialized.\")\n\n size = list%size\nEND FUNCTION list_${valuetype}$_size\n\n\nSUBROUTINE change_capacity_${valuetype}$(list, new_capacity)\n !! Internal routine for changing the size of the internal array.\n TYPE(list_${valuetype}$_type), intent(inout) :: list\n INTEGER, intent(in) :: new_capacity\n INTEGER :: i, new_cap, stat\n TYPE(private_item_p_type_${valuetype}$), DIMENSION(:), POINTER :: old_arr\n\n new_cap = new_capacity\n IF(new_cap < 0) &\n DBCSR_ABORT(\"list_${valuetype}$_change_capacity: new_capacity < 0\")\n IF(new_cap < list%size) &\n DBCSR_ABORT(\"list_${valuetype}$_change_capacity: new_capacity < size\")\n IF(new_cap > HUGE(i)) THEN\n IF(size(list%arr) == HUGE(i)) &\n DBCSR_ABORT(\"list_${valuetype}$_change_capacity: list has reached integer limit.\")\n new_cap = HUGE(i) ! grow as far as possible\n END IF\n\n old_arr => list%arr\n allocate(list%arr(new_cap), stat=stat)\n IF (stat/=0)&\n DBCSR_ABORT(\"list_${valuetype}$_change_capacity: allocation failed\")\n\n do i=1, list%size\n allocate(list%arr(i)%p, stat=stat)\n IF (stat/=0)&\n DBCSR_ABORT(\"list_${valuetype}$_change_capacity: allocation failed\")\n list%arr(i)%p%value ${value_assign}$ old_arr(i)%p%value\n deallocate(old_arr(i)%p)\n end do\n deallocate(old_arr)\n\nEND SUBROUTINE change_capacity_${valuetype}$\n#:enddef\n#:endmute\n" }, { "path": "src/core/dbcsr_list_callstackentry.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include 'dbcsr_list.fypp'\n#:set n_inst = 3\n !! An array-based list which grows on demand.\n !! When the internal array is full, a new array of twice the size will be\n !! allocated and the items are copied over.\n !! This list can also be used as a stack.\n !! Have look at list_push(), list_pop() and list_peek().\n\nMODULE dbcsr_list_callstackentry\n USE dbcsr_timings_base_type, ONLY: ${uselist(usetimingsbase)}$\n\n $:list_body(valuetype[n_inst], valuetype_in[n_inst], valuetype_out[n_inst], value_assign[n_inst])\n\nEND MODULE dbcsr_list_callstackentry\n" }, { "path": "src/core/dbcsr_list_routinereport.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include 'dbcsr_list.fypp'\n#:set n_inst = 2\n !! An array-based list which grows on demand.\n !! When the internal array is full, a new array of twice the size will be\n !! allocated and the items are copied over.\n !! This list can also be used as a stack.\n !! Have look at list_push(), list_pop() and list_peek().\n\nMODULE dbcsr_list_routinereport\n USE dbcsr_timings_base_type, ONLY: ${uselist(usetimingsbase)}$\n\n $:list_body(valuetype[n_inst], valuetype_in[n_inst], valuetype_out[n_inst], value_assign[n_inst])\n\nEND MODULE dbcsr_list_routinereport\n" }, { "path": "src/core/dbcsr_list_routinestat.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include 'dbcsr_list.fypp'\n#:set n_inst = 1\n !! An array-based list which grows on demand.\n !! When the internal array is full, a new array of twice the size will be\n !! allocated and the items are copied over.\n !! This list can also be used as a stack.\n !! Have look at list_push(), list_pop() and list_peek().\n\nMODULE dbcsr_list_routinestat\n USE dbcsr_timings_base_type, ONLY: ${uselist(usetimingsbase)}$\n\n $:list_body(valuetype[n_inst], valuetype_in[n_inst], valuetype_out[n_inst], value_assign[n_inst])\n\nEND MODULE dbcsr_list_routinestat\n" }, { "path": "src/core/dbcsr_list_timerenv.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include 'dbcsr_list.fypp'\n#:set n_inst = 0\n !! An array-based list which grows on demand.\n !! When the internal array is full, a new array of twice the size will be\n !! allocated and the items are copied over.\n !! This list can also be used as a stack.\n !! Have look at list_push(), list_pop() and list_peek().\n\nMODULE dbcsr_list_timerenv\n USE dbcsr_timings_types, ONLY: ${uselist(usetimings)}$\n\n $:list_body(valuetype[n_inst], valuetype_in[n_inst], valuetype_out[n_inst], value_assign[n_inst])\n\nEND MODULE dbcsr_list_timerenv\n" }, { "path": "src/core/dbcsr_log_handling.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_log_handling\n !! various routines to log and control the output.\n !! The idea is that decisions about where to log should not be done in\n !! the code that generates the log, but should be globally changeable\n !! a central place.\n !! So some care has been taken to have enough information about the\n !! place from where the log comes so that in the future intelligent and\n !! flexible decisions can be taken by the logger, without having to change\n !! other code.\n !! @note\n !! contains also routines to convert to a string.\n !! in my idea they should have been with variable length,\n !! (i.e. they should have returned a trim(adjustl(actual_result)))\n !! As a logger should be robust, at the moment I have given up.\n !! At the moment logging and output refer to the same object\n !! (dbcsr_logger_type)\n !! as these are actually different it might be better to separate them\n !! (they have already separate routines in a separate module\n !! @see dbcsr_output_handling).\n !! some practices (use of print *, no dbcsr_error_type,\n !! manual retain release of some objects) are dictated by the need to\n !! have minimal dependency\n !! @endnote\n !!\n !! @see dbcsr_error_handling\n !! @version 12.2001\n\n USE dbcsr_files, ONLY: close_file, &\n open_file\n USE dbcsr_iter_types, ONLY: dbcsr_iteration_info_create, &\n dbcsr_iteration_info_release, &\n dbcsr_iteration_info_retain, &\n dbcsr_iteration_info_type\n USE dbcsr_kinds, ONLY: default_path_length, &\n default_string_length, &\n dp\n USE dbcsr_machine, ONLY: default_output_unit, &\n m_getpid, &\n m_hostnm\n USE dbcsr_methods, ONLY: dbcsr_mp_release\n USE dbcsr_string_utilities, ONLY: compress\n USE dbcsr_timings, ONLY: print_stack\n USE dbcsr_types, ONLY: dbcsr_mp_obj\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n !API types\n PUBLIC :: dbcsr_logger_type, dbcsr_logger_p_type\n !API parameter vars\n PUBLIC :: dbcsr_note_level, dbcsr_warning_level, dbcsr_failure_level, dbcsr_fatal_level\n !API default loggers\n PUBLIC :: dbcsr_get_default_logger, dbcsr_add_default_logger, dbcsr_rm_default_logger, &\n dbcsr_default_logger_stack_size\n !API logger routines\n PUBLIC :: dbcsr_logger_create, dbcsr_logger_retain, dbcsr_logger_release, &\n dbcsr_logger_would_log, dbcsr_logger_set, dbcsr_logger_get_default_unit_nr, &\n dbcsr_logger_get_default_io_unit, dbcsr_logger_get_unit_nr, &\n dbcsr_logger_set_log_level, dbcsr_logger_generate_filename, &\n dbcsr_to_string\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_log_handling'\n LOGICAL, PRIVATE, PARAMETER :: debug_this_module = .FALSE.\n\n !! level of an error\n INTEGER, PARAMETER :: dbcsr_fatal_level = 3\n !! level of a failure\n INTEGER, PARAMETER :: dbcsr_failure_level = 2\n !! level of a warning\n INTEGER, PARAMETER :: dbcsr_warning_level = 1\n !! level of a note\n INTEGER, PARAMETER :: dbcsr_note_level = 0\n\n !! a generic function to trasform different types to strings\n INTERFACE dbcsr_to_string\n MODULE PROCEDURE dbcsr_int_to_string, dbcsr_real_dp_to_string, dbcsr_logical_to_string\n END INTERFACE\n\n TYPE dbcsr_logger_type\n !! type of a logger, at the moment it contains just a print level\n !! starting at which level it should be logged\n !! (0 note, 1 warning, 2 failure, 3 fatal)\n !! it could be expanded with the ability to focus on one or more\n !! module/object/thread/processor\n !! @note\n !! This should be private, but as the output functions have been\n !! moved to another module and there is no \"friend\" keyword, they\n !! are public.\n !! DO NOT USE THE INTERNAL COMPONENTS DIRECTLY!!!\n\n INTEGER :: id_nr = -1, ref_count = -1\n !! unique number to identify the logger\n !! reference count (see cp2k/doc/ReferenceCounting.html)\n INTEGER :: print_level = -1\n !! the level starting at which something gets printed\n INTEGER :: default_local_unit_nr = -1\n !! default unit for local logging (-1 if not yet initialized). Local logging guarantee to each task its own file.\n INTEGER :: default_global_unit_nr = -1\n !! default unit for global logging (-1 if not yet initialized). This unit is valid only on the processor with\n !! %mp_env%mp%mynode==%mv_env%mp%source.\n LOGICAL :: close_local_unit_on_dealloc = .FALSE., close_global_unit_on_dealloc = .FALSE.\n !! if the local unit should be closed when this logger is deallocated\n !! whether the global unit should be closed when this logger is deallocated\n CHARACTER(len=default_string_length) :: suffix = \"\"\n !! a short string that is used as suffix in all the filenames created by this logger. Can be used to guarantee the\n !! uniqueness of generated filename\n CHARACTER(len=default_path_length) :: local_filename = \"\", global_filename = \"\"\n !! the root of the name of the file used for local logging (can be different from the name of the file corresponding to\n !! default_local_unit_nr, only the one used if the unit needs to be opened)\n !! the root of the name of the file used for global logging (can be different from the name of the file corresponding to\n !! default_global_unit_nr, only the one used if the unit needs to be opened)\n TYPE(dbcsr_mp_obj) :: mp_env = dbcsr_mp_obj()\n !! the parallel environment for the output.\n TYPE(dbcsr_iteration_info_type), POINTER :: iter_info => NULL()\n END TYPE dbcsr_logger_type\n\n TYPE dbcsr_logger_p_type\n TYPE(dbcsr_logger_type), POINTER :: p => Null()\n END TYPE dbcsr_logger_p_type\n\n! **************************************************************************************************\n TYPE default_logger_stack_type\n TYPE(dbcsr_logger_type), POINTER :: dbcsr_default_logger => Null()\n END TYPE default_logger_stack_type\n\n INTEGER, PRIVATE :: stack_pointer = 0\n INTEGER, PARAMETER, PRIVATE :: max_stack_pointer = 10\n TYPE(default_logger_stack_type), SAVE, DIMENSION(max_stack_pointer) :: default_logger_stack\n\n INTEGER, SAVE, PRIVATE :: last_logger_id_nr = 0\n\nCONTAINS\n\n FUNCTION dbcsr_default_logger_stack_size() RESULT(res)\n INTEGER :: res\n\n res = stack_pointer\n END FUNCTION dbcsr_default_logger_stack_size\n\n SUBROUTINE dbcsr_add_default_logger(logger)\n !! adds a default logger.\n !! MUST be called before logging occurs\n !! @note\n !! increments a stack of default loggers the latest one will be\n !! available within the program\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_add_default_logger', &\n routineP = moduleN//':'//routineN\n\n IF (stack_pointer + 1 > max_stack_pointer) THEN\n CALL dbcsr_abort(__LOCATION__, routineP// &\n \"too many default loggers, increase max_stack_pointer in \"//moduleN)\n END IF\n\n stack_pointer = stack_pointer + 1\n NULLIFY (default_logger_stack(stack_pointer)%dbcsr_default_logger)\n\n default_logger_stack(stack_pointer)%dbcsr_default_logger => logger\n CALL dbcsr_logger_retain(logger)\n\n END SUBROUTINE dbcsr_add_default_logger\n\n SUBROUTINE dbcsr_rm_default_logger()\n !! the cousin of dbcsr_add_default_logger, decrements the stack, so that\n !! the default logger is what it has\n !! been\n\n IF (stack_pointer - 1 < 0) THEN\n CALL dbcsr_abort(__LOCATION__, moduleN//\":dbcsr_rm_default_logger\"// &\n \"can not destroy default logger \"//moduleN)\n END IF\n\n CALL dbcsr_logger_release(default_logger_stack(stack_pointer)%dbcsr_default_logger)\n NULLIFY (default_logger_stack(stack_pointer)%dbcsr_default_logger)\n stack_pointer = stack_pointer - 1\n\n END SUBROUTINE dbcsr_rm_default_logger\n\n FUNCTION dbcsr_get_default_logger() RESULT(res)\n !! returns the default logger\n !! @note\n !! initializes the default loggers if necessary\n\n TYPE(dbcsr_logger_type), POINTER :: res\n\n IF (.NOT. stack_pointer > 0) THEN\n CALL dbcsr_abort(__LOCATION__, \"dbcsr_log_handling:dbcsr_get_default_logger\"// &\n \"default logger not yet initialized (CALL dbcsr_init_default_logger)\")\n END IF\n res => default_logger_stack(stack_pointer)%dbcsr_default_logger\n IF (.NOT. ASSOCIATED(res)) THEN\n CALL dbcsr_abort(__LOCATION__, \"dbcsr_log_handling:dbcsr_get_default_logger\"// &\n \"default logger is null (released too much ?)\")\n END IF\n END FUNCTION dbcsr_get_default_logger\n\n! ================== log ==================\n\n SUBROUTINE dbcsr_logger_create(logger, mp_env, print_level, &\n default_global_unit_nr, default_local_unit_nr, global_filename, &\n local_filename, close_global_unit_on_dealloc, iter_info, &\n close_local_unit_on_dealloc, suffix, template_logger)\n !! initializes a logger\n !! @note\n !! the handling of *_filename, default_*_unit_nr, close_*_unit_on_dealloc\n !! tries to take the right decision with different inputs, and thus is a\n !! little complex.\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n !! the logger to initialize\n TYPE(dbcsr_mp_obj), OPTIONAL :: mp_env\n !! the parallel environment (this is most likely the global parallel environment\n INTEGER, INTENT(in), OPTIONAL :: print_level, default_global_unit_nr, &\n default_local_unit_nr\n !! the level starting with which something is written (defaults to dbcsr_note_level)\n !! the default unit_nr for output (if not given, and no file is given defaults to the standard output)\n !! the default unit number for local (i.e. task) output. If not given defaults to a out.taskid file created upon\n CHARACTER(len=*), INTENT(in), OPTIONAL :: global_filename, local_filename\n !! a new file to open (can be given instead of the global_unit_nr)\n !! a new file to open (with suffix and mp_env%mp%mynode appended). Can be given instead of the default_local_unit_nr). the\n !! file is created only upon the first local logging request\n LOGICAL, INTENT(in), OPTIONAL :: close_global_unit_on_dealloc\n !! if the unit should be closed when the logger is deallocated (defaults to true if a local_filename is given, to false\n !! otherwise)\n TYPE(dbcsr_iteration_info_type), OPTIONAL, POINTER :: iter_info\n LOGICAL, INTENT(in), OPTIONAL :: close_local_unit_on_dealloc\n !! if the unit should be closed when the logger is deallocated (defaults to true)\n CHARACTER(len=*), INTENT(in), OPTIONAL :: suffix\n !! the suffix that should be added to all the generated filenames\n TYPE(dbcsr_logger_type), OPTIONAL, POINTER :: template_logger\n !! a logger from where to take the unspecified things\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_logger_create', &\n routineP = moduleN//':'//routineN\n\n INTEGER :: stat\n\n ALLOCATE (logger, stat=stat)\n IF (stat /= 0) &\n DBCSR_ABORT(routineP//\" could not ALLOCATE a logger\")\n\n NULLIFY (logger%iter_info)\n logger%ref_count = 1\n last_logger_id_nr = last_logger_id_nr + 1\n logger%id_nr = last_logger_id_nr\n\n IF (PRESENT(template_logger)) THEN\n IF (template_logger%ref_count < 1) &\n DBCSR_ABORT(routineP//\" template_logger%ref_count<1\")\n logger%print_level = template_logger%print_level\n logger%default_global_unit_nr = template_logger%default_global_unit_nr\n logger%close_local_unit_on_dealloc = template_logger%close_local_unit_on_dealloc\n IF (logger%close_local_unit_on_dealloc) THEN\n logger%default_local_unit_nr = -1\n ELSE\n logger%default_local_unit_nr = template_logger%default_local_unit_nr\n END IF\n logger%close_global_unit_on_dealloc = template_logger%close_global_unit_on_dealloc\n IF (logger%close_global_unit_on_dealloc) THEN\n logger%default_global_unit_nr = -1\n ELSE\n logger%default_global_unit_nr = template_logger%default_global_unit_nr\n END IF\n logger%local_filename = template_logger%local_filename\n logger%global_filename = template_logger%global_filename\n logger%mp_env = template_logger%mp_env\n logger%suffix = template_logger%suffix\n logger%iter_info => template_logger%iter_info\n ELSE\n ! create a file if nothing is specified, one can also get the unit from the default logger\n ! which should have something reasonable as the argument is required in that case\n logger%default_global_unit_nr = -1\n logger%close_global_unit_on_dealloc = .TRUE.\n logger%local_filename = \"localLog\"\n logger%global_filename = \"mainLog\"\n logger%print_level = dbcsr_note_level\n ! generate a file for default local logger\n ! except the ionode that should write to the default global logger\n logger%default_local_unit_nr = -1\n logger%close_local_unit_on_dealloc = .TRUE.\n logger%suffix = \"\"\n END IF\n IF (PRESENT(mp_env)) logger%mp_env = mp_env\n IF (.NOT. ASSOCIATED(logger%mp_env%mp)) &\n DBCSR_ABORT(routineP//\" mp env not associated\")\n\n IF (logger%mp_env%mp%refcount < 1) &\n DBCSR_ABORT(routineP//\" mp_env%ref_count<1\")\n logger%mp_env%mp%refcount = logger%mp_env%mp%refcount + 1\n\n IF (PRESENT(print_level)) logger%print_level = print_level\n\n IF (PRESENT(default_global_unit_nr)) &\n logger%default_global_unit_nr = default_global_unit_nr\n IF (PRESENT(global_filename)) THEN\n logger%global_filename = global_filename\n logger%close_global_unit_on_dealloc = .TRUE.\n logger%default_global_unit_nr = -1\n END IF\n IF (PRESENT(close_global_unit_on_dealloc)) THEN\n logger%close_global_unit_on_dealloc = close_global_unit_on_dealloc\n IF (PRESENT(default_global_unit_nr) .AND. PRESENT(global_filename) .AND. &\n (.NOT. close_global_unit_on_dealloc)) THEN\n logger%default_global_unit_nr = default_global_unit_nr\n END IF\n END IF\n\n IF (PRESENT(default_local_unit_nr)) &\n logger%default_local_unit_nr = default_local_unit_nr\n IF (PRESENT(local_filename)) THEN\n logger%local_filename = local_filename\n logger%close_local_unit_on_dealloc = .TRUE.\n logger%default_local_unit_nr = -1\n END IF\n IF (PRESENT(suffix)) logger%suffix = suffix\n\n IF (PRESENT(close_local_unit_on_dealloc)) THEN\n logger%close_local_unit_on_dealloc = close_local_unit_on_dealloc\n IF (PRESENT(default_local_unit_nr) .AND. PRESENT(local_filename) .AND. &\n (.NOT. close_local_unit_on_dealloc)) THEN\n logger%default_local_unit_nr = default_local_unit_nr\n END IF\n END IF\n\n IF (logger%default_local_unit_nr == -1) THEN\n IF (logger%mp_env%mp%mynode == logger%mp_env%mp%source) THEN\n logger%default_local_unit_nr = logger%default_global_unit_nr\n logger%close_local_unit_on_dealloc = .FALSE.\n END IF\n END IF\n IF (PRESENT(iter_info)) logger%iter_info => iter_info\n IF (ASSOCIATED(logger%iter_info)) THEN\n CALL dbcsr_iteration_info_retain(logger%iter_info)\n ELSE\n CALL dbcsr_iteration_info_create(logger%iter_info, \"\")\n END IF\n END SUBROUTINE dbcsr_logger_create\n\n SUBROUTINE dbcsr_logger_retain(logger)\n !! retains the given logger (to be called to keep a shared copy of\n !! the logger)\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n !! the logger to retain\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_logger_retain', &\n routineP = moduleN//':'//routineN\n\n IF (.NOT. ASSOCIATED(logger)) &\n DBCSR_ABORT(routineP//\" logger not associated\")\n IF (logger%ref_count < 1) &\n DBCSR_ABORT(routineP//\" logger%ref_count<1\")\n logger%ref_count = logger%ref_count + 1\n END SUBROUTINE dbcsr_logger_retain\n\n SUBROUTINE dbcsr_logger_release(logger)\n !! releases this logger\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n !! the logger to release\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_logger_release', &\n routineP = moduleN//':'//routineN\n\n IF (ASSOCIATED(logger)) THEN\n IF (logger%ref_count < 1) &\n DBCSR_ABORT(routineP//\" logger%ref_count<1\")\n logger%ref_count = logger%ref_count - 1\n IF (logger%ref_count == 0) THEN\n IF (logger%close_global_unit_on_dealloc .AND. &\n logger%default_global_unit_nr >= 0) THEN\n CALL close_file(logger%default_global_unit_nr)\n logger%close_global_unit_on_dealloc = .FALSE.\n logger%default_global_unit_nr = -1\n END IF\n IF (logger%close_local_unit_on_dealloc .AND. &\n logger%default_local_unit_nr >= 0) THEN\n CALL close_file(logger%default_local_unit_nr)\n logger%close_local_unit_on_dealloc = .FALSE.\n logger%default_local_unit_nr = -1\n END IF\n CALL dbcsr_mp_release(logger%mp_env)\n CALL dbcsr_iteration_info_release(logger%iter_info)\n DEALLOCATE (logger)\n END IF\n END IF\n END SUBROUTINE dbcsr_logger_release\n\n FUNCTION dbcsr_logger_would_log(logger, level) RESULT(res)\n !! this function can be called to check if the logger would log\n !! a message with the given level from the given source\n !! you should use this function if you do direct logging\n !! (without using dbcsr_logger_log), or if you want to know if the generation\n !! of some costly log info is necessary\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n !! the logger you want to log in\n INTEGER, INTENT(in) :: level\n !! describes the of the message: dbcsr_fatal_level(3), dbcsr_failure_level(2), dbcsr_warning_level(1), dbcsr_note_level(0).\n LOGICAL :: res\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_logger_would_log', &\n routineP = moduleN//':'//routineN\n\n TYPE(dbcsr_logger_type), POINTER :: lggr\n\n lggr => logger\n IF (.NOT. ASSOCIATED(lggr)) lggr => dbcsr_get_default_logger()\n IF (lggr%ref_count < 1) &\n DBCSR_ABORT(routineP//\" logger%ref_count<1\")\n\n res = level >= lggr%print_level\n END FUNCTION dbcsr_logger_would_log\n\n FUNCTION dbcsr_logger_get_unit_nr(logger, local) RESULT(res)\n !! returns the unit nr for the requested kind of log.\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n !! the logger you want to log in\n LOGICAL, INTENT(in), OPTIONAL :: local\n !! if true returns a local logger (one per task), otherwise returns a global logger (only the process with\n !! mp_env%mp%mynode== mp_env%mp%source should write to the global logger). Defaults to false\n INTEGER :: res\n\n res = dbcsr_logger_get_default_unit_nr(logger, local=local)\n END FUNCTION dbcsr_logger_get_unit_nr\n\n FUNCTION dbcsr_logger_get_default_io_unit(logger) RESULT(res)\n !! returns the unit nr for the ionode (-1 on all other processors)\n !! skips as well checks if the procs calling this function is not the ionode\n\n TYPE(dbcsr_logger_type), OPTIONAL, POINTER :: logger\n !! the logger you want to log in\n INTEGER :: res\n\n TYPE(dbcsr_logger_type), POINTER :: local_logger\n\n IF (PRESENT(logger)) THEN\n local_logger => logger\n ELSE IF (stack_pointer == 0) THEN\n res = -1 ! edge case: default logger not yet/anymore available\n RETURN\n ELSE\n local_logger => dbcsr_get_default_logger()\n END IF\n\n res = dbcsr_logger_get_default_unit_nr(local_logger, local=.FALSE., skip_not_ionode=.TRUE.)\n END FUNCTION dbcsr_logger_get_default_io_unit\n\n! *************************** dbcsr_logger_type settings ***************************\n\n SUBROUTINE dbcsr_logger_set_log_level(logger, level)\n !! changes the logging level. Log messages with a level less than the one\n !! given wo not be printed.\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n !! the logger to change\n INTEGER, INTENT(in) :: level\n !! the new logging level for the logger\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_logger_set_log_level', &\n routineP = moduleN//':'//routineN\n\n IF (.NOT. ASSOCIATED(logger)) &\n DBCSR_ABORT(routineP//\" logger not associated\")\n IF (logger%ref_count < 1) &\n DBCSR_ABORT(routineP//\" logger%ref_count<1\")\n logger%print_level = level\n END SUBROUTINE dbcsr_logger_set_log_level\n\n RECURSIVE FUNCTION dbcsr_logger_get_default_unit_nr(logger, local, skip_not_ionode) RESULT(res)\n !! asks the default unit number of the given logger.\n !! try to use dbcsr_logger_get_unit_nr\n\n TYPE(dbcsr_logger_type), OPTIONAL, POINTER :: logger\n !! the logger you want info from\n LOGICAL, INTENT(in), OPTIONAL :: local, skip_not_ionode\n !! if you want the local unit nr (defaults to false)\n INTEGER :: res\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_logger_get_default_unit_nr', &\n routineP = moduleN//':'//routineN\n\n CHARACTER(len=default_path_length) :: filename, host_name\n INTEGER :: iostat, pid\n LOGICAL :: loc, skip\n TYPE(dbcsr_logger_type), POINTER :: lggr\n\n loc = .TRUE.\n skip = .FALSE.\n IF (PRESENT(logger)) THEN\n lggr => logger\n ELSE\n NULLIFY (lggr)\n END IF\n IF (.NOT. ASSOCIATED(lggr)) lggr => dbcsr_get_default_logger()\n IF (lggr%ref_count < 1) &\n DBCSR_ABORT(routineP//\" logger%ref_count<1\")\n\n IF (PRESENT(local)) loc = local\n IF (PRESENT(skip_not_ionode)) skip = skip_not_ionode\n IF (.NOT. loc) THEN\n IF (lggr%default_global_unit_nr <= 0) THEN\n IF (lggr%mp_env%mp%mynode == lggr%mp_env%mp%source) THEN\n CALL dbcsr_logger_generate_filename(lggr, filename, lggr%global_filename, &\n \".out\", local=.FALSE.)\n CALL open_file(TRIM(filename), file_status=\"unknown\", &\n file_action=\"WRITE\", file_position=\"APPEND\", &\n unit_number=lggr%default_global_unit_nr)\n ELSE IF (.NOT. skip) THEN\n lggr%default_global_unit_nr = dbcsr_logger_get_default_unit_nr(lggr, .TRUE.)\n lggr%close_global_unit_on_dealloc = .FALSE.\n ELSE\n lggr%default_global_unit_nr = -1\n lggr%close_global_unit_on_dealloc = .FALSE.\n END IF\n END IF\n IF ((lggr%mp_env%mp%mynode /= lggr%mp_env%mp%source) .AND. (.NOT. skip)) THEN\n WRITE (UNIT=lggr%default_global_unit_nr, FMT='(/,T2,A)', IOSTAT=iostat) &\n ' *** WARNING non ionode asked for global logger ***'\n IF (iostat /= 0) THEN\n CALL m_getpid(pid)\n CALL m_hostnm(host_name)\n PRINT *, \" *** Error trying to WRITE to the local logger ***\"\n PRINT *, \" *** MPI_id = \", lggr%mp_env%mp%mynode\n PRINT *, \" *** MPI_Communicator = \", lggr%mp_env%mp%mp_group%get_handle()\n PRINT *, \" *** PID = \", pid\n PRINT *, \" *** Hostname = \"//TRIM(host_name)\n CALL print_stack(default_output_unit)\n ELSE\n CALL print_stack(lggr%default_global_unit_nr)\n END IF\n END IF\n res = lggr%default_global_unit_nr\n ELSE\n IF (lggr%default_local_unit_nr <= 0) THEN\n CALL dbcsr_logger_generate_filename(lggr, filename, lggr%local_filename, &\n \".out\", local=.TRUE.)\n CALL open_file(TRIM(filename), file_status=\"unknown\", &\n file_action=\"WRITE\", &\n file_position=\"APPEND\", &\n unit_number=lggr%default_local_unit_nr)\n WRITE (UNIT=lggr%default_local_unit_nr, FMT='(/,T2,A,I0,A,I0,A)', IOSTAT=iostat) &\n '*** Local logger file of MPI task ', lggr%mp_env%mp%mynode, &\n ' in communicator ', lggr%mp_env%mp%mp_group%get_handle(), ' ***'\n IF (iostat == 0) THEN\n CALL m_getpid(pid)\n CALL m_hostnm(host_name)\n WRITE (UNIT=lggr%default_local_unit_nr, FMT='(T2,A,I0)', IOSTAT=iostat) &\n '*** PID = ', pid, &\n '*** Hostname = '//host_name\n CALL print_stack(lggr%default_local_unit_nr)\n END IF\n IF (iostat /= 0) THEN\n CALL m_getpid(pid)\n CALL m_hostnm(host_name)\n PRINT *, \" *** Error trying to WRITE to the local logger ***\"\n PRINT *, \" *** MPI_id = \", lggr%mp_env%mp%mynode\n PRINT *, \" *** MPI_Communicator = \", lggr%mp_env%mp%mp_group%get_handle()\n PRINT *, \" *** PID = \", pid\n PRINT *, \" *** Hostname = \"//TRIM(host_name)\n CALL print_stack(default_output_unit)\n END IF\n\n END IF\n res = lggr%default_local_unit_nr\n END IF\n END FUNCTION dbcsr_logger_get_default_unit_nr\n\n SUBROUTINE dbcsr_logger_generate_filename(logger, res, root, postfix, &\n local)\n !! generates a unique filename (ie adding eventual suffixes and\n !! process ids)\n !! @note\n !! this should be a function returning a variable length string.\n !! All spaces are moved to the end of the string.\n !! Not fully optimized: result must be a little longer than the\n !! resulting compressed filename\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n CHARACTER(len=*), INTENT(inout) :: res\n !! the resulting string\n CHARACTER(len=*), INTENT(in) :: root, postfix\n !! the start of filename\n !! the end of the name\n LOGICAL, INTENT(in), OPTIONAL :: local\n !! if the name should be local to this task (defaults to false)\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_logger_generate_filename', &\n routineP = moduleN//':'//routineN\n\n LOGICAL :: loc\n TYPE(dbcsr_logger_type), POINTER :: lggr\n\n loc = .FALSE.\n res = ' '\n lggr => logger\n\n IF (.NOT. ASSOCIATED(lggr)) lggr => dbcsr_get_default_logger()\n IF (lggr%ref_count < 1) &\n DBCSR_ABORT(routineP//\" logger%ref_count<1\")\n IF (PRESENT(local)) loc = local\n IF (loc) THEN\n res = TRIM(root)//TRIM(lggr%suffix)//'_p'// &\n dbcsr_to_string(lggr%mp_env%mp%mynode)//postfix\n ELSE\n res = TRIM(root)//TRIM(lggr%suffix)//postfix\n END IF\n CALL compress(res, full=.TRUE.)\n END SUBROUTINE dbcsr_logger_generate_filename\n\n SUBROUTINE dbcsr_logger_set(logger, local_filename, global_filename)\n !! sets various attributes of the given logger\n\n TYPE(dbcsr_logger_type), POINTER :: logger\n !! the logger you want to change\n CHARACTER(len=*), INTENT(in), OPTIONAL :: local_filename, global_filename\n !! the root of the name of the file used for local logging\n !! the root of the name of the file used for global logging\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_logger_set', &\n routineP = moduleN//':'//routineN\n\n IF (.NOT. ASSOCIATED(logger)) &\n DBCSR_ABORT(routineP//\" unassociated logger\")\n IF (PRESENT(local_filename)) logger%local_filename = local_filename\n IF (PRESENT(global_filename)) logger%global_filename = global_filename\n END SUBROUTINE dbcsr_logger_set\n\n FUNCTION dbcsr_int_to_string(i) RESULT(res)\n !! converts an int to a string\n !! (should be a variable length string, but that does not work with\n !! all the compilers)\n\n INTEGER, INTENT(in) :: i\n !! the integer to convert\n CHARACTER(len=6) :: res\n\n CHARACTER(len=6) :: t_res\n INTEGER :: iostat\n REAL(KIND=dp) :: tmp_r\n\n iostat = 0\n IF (i > 999999 .OR. i < -99999) THEN\n tmp_r = i\n WRITE (t_res, fmt='(es6.1)', iostat=iostat) tmp_r\n ELSE\n WRITE (t_res, fmt='(i6)', iostat=iostat) i\n END IF\n res = t_res\n IF (iostat /= 0) THEN\n PRINT *, \"dbcsr_int_to_string ioerror\", iostat\n CALL print_stack(dbcsr_logger_get_default_unit_nr())\n END IF\n END FUNCTION dbcsr_int_to_string\n\n FUNCTION dbcsr_real_dp_to_string(val) RESULT(res)\n !! convert a double precision real in a string\n !! (should be a variable length string, but that does not work with\n !! all the compilers)\n\n REAL(KIND=dp), INTENT(in) :: val\n !! the number to convert\n CHARACTER(len=11) :: res\n\n WRITE (res, '(es11.4)') val\n END FUNCTION dbcsr_real_dp_to_string\n\n FUNCTION dbcsr_logical_to_string(val) RESULT(res)\n !! convert a logical in a string ('T' or 'F')\n\n LOGICAL, INTENT(in) :: val\n !! the number to convert\n CHARACTER(len=1) :: res\n\n IF (val) THEN\n res = 'T'\n ELSE\n res = 'F'\n END IF\n END FUNCTION dbcsr_logical_to_string\n\nEND MODULE dbcsr_log_handling\n" }, { "path": "src/core/dbcsr_methods.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_methods\n !! Base methods on DBCSR data structures\n USE dbcsr_array_types, ONLY: array_data, &\n array_release\n USE dbcsr_btree, ONLY: btree_delete, &\n btree_new\n USE dbcsr_data_methods, ONLY: dbcsr_data_get_size, &\n dbcsr_data_release\n USE dbcsr_kinds, ONLY: default_string_length\n USE dbcsr_mpiwrap, ONLY: mp_comm_free\n USE dbcsr_ptr_util, ONLY: memory_deallocate\n USE dbcsr_types, ONLY: &\n dbcsr_1d_array_type, dbcsr_2d_array_type, dbcsr_data_obj, dbcsr_distribution_obj, &\n dbcsr_imagedistribution_obj, dbcsr_imagedistribution_type, dbcsr_memtype_type, &\n dbcsr_mp_obj, dbcsr_mutable_obj, dbcsr_type, dbcsr_type_antihermitian, &\n dbcsr_type_antisymmetric, dbcsr_type_complex_4, dbcsr_type_complex_8, &\n dbcsr_type_hermitian, dbcsr_type_invalid, dbcsr_type_no_symmetry, dbcsr_type_real_4, &\n dbcsr_type_real_8, dbcsr_type_symmetric, dbcsr_work_type\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_methods'\n\n INTEGER, PUBLIC, SAVE :: dbcsr_matrix_counter = 111111\n\n PUBLIC :: dbcsr_release\n PUBLIC :: dbcsr_valid_index\n PUBLIC :: dbcsr_release_locals\n PUBLIC :: dbcsr_distribution, &\n dbcsr_get_matrix_type, dbcsr_get_data_type, dbcsr_get_replication_type, &\n dbcsr_row_block_sizes, dbcsr_col_block_sizes, &\n dbcsr_nblkrows_total, dbcsr_nblkcols_total, dbcsr_nfullrows_total, &\n dbcsr_nfullcols_total, dbcsr_nblkcols_local, dbcsr_nblkrows_local, &\n dbcsr_max_row_size, dbcsr_max_col_size, &\n dbcsr_get_index_memory_type, dbcsr_get_data_memory_type, &\n dbcsr_name, dbcsr_setname, dbcsr_get_data_size, &\n dbcsr_use_mutable, dbcsr_wm_use_mutable, dbcsr_has_symmetry, &\n dbcsr_get_nze, dbcsr_nfullrows_local, dbcsr_nfullcols_local\n PUBLIC :: dbcsr_get_data_size_used\n PUBLIC :: dbcsr_col_block_offsets, dbcsr_row_block_offsets\n PUBLIC :: dbcsr_data_area\n PUBLIC :: dbcsr_get_num_blocks\n\n PUBLIC :: dbcsr_blk_row_size, dbcsr_blk_column_size, &\n dbcsr_blk_row_offset, dbcsr_blk_col_offset\n\n PUBLIC :: dbcsr_destroy_array\n PUBLIC :: dbcsr_image_dist_init, dbcsr_image_dist_hold, dbcsr_image_dist_release\n\n PUBLIC :: dbcsr_mutable_init, dbcsr_mutable_new, dbcsr_mutable_destroy, &\n dbcsr_mutable_release, &\n dbcsr_mutable_instantiated\n\n PUBLIC :: dbcsr_distribution_release\n PUBLIC :: dbcsr_mp_release, dbcsr_mp_grid_remove\n\n ! For the 1-D and 2-D arrays\n\n INTERFACE dbcsr_destroy_array\n MODULE PROCEDURE dbcsr_destroy_1d_array, dbcsr_destroy_2d_array\n END INTERFACE\n\nCONTAINS\n\n PURE FUNCTION dbcsr_valid_index(matrix) RESULT(valid_index)\n !! Returns whether the index structure of the matrix is valid.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! verify index validity of this matrix\n LOGICAL :: valid_index\n !! index validity\n\n valid_index = matrix%valid\n END FUNCTION dbcsr_valid_index\n\n RECURSIVE SUBROUTINE dbcsr_release(matrix)\n !! Releases a reference for a DBCSR matrix\n !! If there are no references left, the matrix is destroyed.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n\n matrix%refcount = matrix%refcount - 1\n IF (matrix%refcount .EQ. 0) THEN\n CALL dbcsr_destroy(matrix)\n END IF\n END SUBROUTINE dbcsr_release\n\n RECURSIVE SUBROUTINE dbcsr_destroy(matrix, force)\n !! Deallocates and destroys a matrix.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix\n LOGICAL, INTENT(IN), OPTIONAL :: force\n !! force deallocation\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_destroy'\n INTEGER :: error_handle\n LOGICAL :: force_all\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n force_all = .FALSE.\n IF (PRESENT(force)) force_all = force\n IF (.NOT. force_all .AND. matrix%refcount .NE. 0) &\n DBCSR_WARN(\"You should not destroy referenced matrix.\")\n IF (force_all .AND. matrix%refcount .GT. 1) &\n DBCSR_WARN(\"You should not destroy referenced matrix.\")\n IF (force_all .OR. matrix%refcount .EQ. 0) THEN\n IF (ASSOCIATED(matrix%wms)) &\n DBCSR_WARN(\"Destroying unfinalized matrix\")\n IF (ASSOCIATED(matrix%index)) THEN\n CALL memory_deallocate(matrix%index, matrix%index_memory_type)\n END IF\n CALL dbcsr_data_release(matrix%data_area)\n CALL array_release(matrix%row_blk_size)\n CALL array_release(matrix%col_blk_size)\n CALL array_release(matrix%row_blk_offset)\n CALL array_release(matrix%col_blk_offset)\n CALL dbcsr_distribution_release(matrix%dist)\n CALL dbcsr_release_locals(matrix)\n matrix%valid = .FALSE.\n matrix%refcount = 0\n END IF\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_destroy\n\n SUBROUTINE dbcsr_distribution_release(dist)\n !! Releases and potentially destroys a distribution\n TYPE(dbcsr_distribution_obj), INTENT(INOUT) :: dist\n\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(dist%d)) THEN\n dist%d%refcount = dist%d%refcount - 1\n IF (dist%d%refcount .EQ. 0) THEN\n CALL array_release(dist%d%row_dist_block)\n CALL array_release(dist%d%col_dist_block)\n CALL array_release(dist%d%local_rows)\n CALL array_release(dist%d%local_cols)\n CALL dbcsr_mp_release(dist%d%mp_env)\n IF (dist%d%has_thread_dist) &\n CALL array_release(dist%d%thread_dist)\n CALL array_release(dist%d%row_map)\n CALL array_release(dist%d%col_map)\n CALL dbcsr_dist_release_locals(dist)\n DEALLOCATE (dist%d)\n END IF\n END IF\n END SUBROUTINE dbcsr_distribution_release\n\n SUBROUTINE dbcsr_dist_release_locals(dist)\n TYPE(dbcsr_distribution_obj), INTENT(INOUT) :: dist\n\n INTEGER :: i\n\n IF (dist%d%has_other_l_rows) THEN\n DO i = LBOUND(dist%d%other_l_rows, 1), UBOUND(dist%d%other_l_rows, 1)\n CALL array_release(dist%d%other_l_rows(i))\n END DO\n DEALLOCATE (dist%d%other_l_rows)\n END IF\n IF (dist%d%has_other_l_cols) THEN\n DO i = LBOUND(dist%d%other_l_cols, 1), UBOUND(dist%d%other_l_cols, 1)\n CALL array_release(dist%d%other_l_cols(i))\n END DO\n DEALLOCATE (dist%d%other_l_cols)\n END IF\n IF (dist%d%has_global_row_map) THEN\n CALL array_release(dist%d%global_row_map)\n END IF\n IF (dist%d%has_global_col_map) THEN\n CALL array_release(dist%d%global_col_map)\n END IF\n dist%d%has_other_l_rows = .FALSE.\n dist%d%has_other_l_cols = .FALSE.\n dist%d%has_global_row_map = .FALSE.\n dist%d%has_global_col_map = .FALSE.\n END SUBROUTINE dbcsr_dist_release_locals\n\n SUBROUTINE dbcsr_mp_release(mp_env)\n !! Releases and potentially destroys an mp_env\n\n TYPE(dbcsr_mp_obj), INTENT(INOUT) :: mp_env\n !! multiprocessor environment\n\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(mp_env%mp)) THEN\n mp_env%mp%refcount = mp_env%mp%refcount - 1\n IF (mp_env%mp%refcount .LE. 0) THEN\n CALL dbcsr_mp_grid_remove(mp_env)\n DEALLOCATE (mp_env%mp%pgrid)\n DEALLOCATE (mp_env%mp)\n END IF\n END IF\n END SUBROUTINE dbcsr_mp_release\n\n SUBROUTINE dbcsr_mp_grid_remove(mp_env)\n !! Removes an MPI cartesian process grid\n\n TYPE(dbcsr_mp_obj), INTENT(INOUT) :: mp_env\n !! multiprocessor environment\n\n IF (mp_env%mp%subgroups_defined) THEN\n CALL mp_comm_free(mp_env%mp%prow_group)\n CALL mp_comm_free(mp_env%mp%pcol_group)\n END IF\n END SUBROUTINE dbcsr_mp_grid_remove\n\n SUBROUTINE dbcsr_release_locals(matrix)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n\n IF (matrix%has_local_rows) &\n CALL array_release(matrix%local_rows)\n IF (matrix%has_global_rows) &\n CALL array_release(matrix%global_rows)\n IF (matrix%has_local_cols) &\n CALL array_release(matrix%local_cols)\n IF (matrix%has_global_cols) &\n CALL array_release(matrix%global_cols)\n matrix%has_local_rows = .FALSE.\n matrix%has_global_rows = .FALSE.\n matrix%has_local_cols = .FALSE.\n matrix%has_global_cols = .FALSE.\n END SUBROUTINE dbcsr_release_locals\n\n! SUBROUTINE dbcsr_release_vlocals (matrix)\n! TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n!\n! IF (matrix%has_local_vrows) &\n! CALL array_release (matrix%local_vrows)\n! IF (matrix%has_global_vrows) &\n! CALL array_release (matrix%global_vrows)\n! IF (matrix%has_local_vcols) &\n! CALL array_release (matrix%local_vcols)\n! IF (matrix%has_global_vcols) &\n! CALL array_release (matrix%global_vcols)\n! matrix%has_local_vrows = .FALSE.\n! matrix%has_global_vrows = .FALSE.\n! matrix%has_local_vcols = .FALSE.\n! matrix%has_global_vcols = .FALSE.\n! END SUBROUTINE dbcsr_release_vlocals\n!\n\n! Pertaining to the dbcsr matrix.\n\n FUNCTION dbcsr_nblkrows_total(matrix) RESULT(nblkrows_total)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nblkrows_total\n\n nblkrows_total = matrix%nblkrows_total\n END FUNCTION dbcsr_nblkrows_total\n\n FUNCTION dbcsr_nblkcols_total(matrix) RESULT(nblkcols_total)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nblkcols_total\n\n nblkcols_total = matrix%nblkcols_total\n END FUNCTION dbcsr_nblkcols_total\n FUNCTION dbcsr_nfullrows_total(matrix) RESULT(nfullrows_total)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nfullrows_total\n\n nfullrows_total = matrix%nfullrows_total\n END FUNCTION dbcsr_nfullrows_total\n FUNCTION dbcsr_nfullcols_total(matrix) RESULT(nfullcols_total)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nfullcols_total\n\n nfullcols_total = matrix%nfullcols_total\n END FUNCTION dbcsr_nfullcols_total\n FUNCTION dbcsr_nblkrows_local(matrix) RESULT(nblkrows_local)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nblkrows_local\n\n nblkrows_local = matrix%nblkrows_local\n END FUNCTION dbcsr_nblkrows_local\n FUNCTION dbcsr_nblkcols_local(matrix) RESULT(nblkcols_local)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nblkcols_local\n\n nblkcols_local = matrix%nblkcols_local\n END FUNCTION dbcsr_nblkcols_local\n FUNCTION dbcsr_nfullrows_local(matrix) RESULT(nfullrows_local)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nfullrows_local\n\n nfullrows_local = matrix%nfullrows_local\n END FUNCTION dbcsr_nfullrows_local\n FUNCTION dbcsr_nfullcols_local(matrix) RESULT(nfullcols_local)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nfullcols_local\n\n nfullcols_local = matrix%nfullcols_local\n END FUNCTION dbcsr_nfullcols_local\n FUNCTION dbcsr_max_row_size(matrix) RESULT(max_row_size)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: max_row_size\n\n max_row_size = matrix%max_rbs\n END FUNCTION dbcsr_max_row_size\n FUNCTION dbcsr_max_col_size(matrix) RESULT(max_col_size)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: max_col_size\n\n max_col_size = matrix%max_cbs\n END FUNCTION dbcsr_max_col_size\n\n FUNCTION dbcsr_distribution(matrix) RESULT(distribution)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n TYPE(dbcsr_distribution_obj) :: distribution\n\n distribution = matrix%dist\n END FUNCTION dbcsr_distribution\n\n FUNCTION dbcsr_name(matrix) RESULT(name)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n CHARACTER(len=default_string_length) :: name\n\n name = matrix%name\n END FUNCTION dbcsr_name\n\n SUBROUTINE dbcsr_setname(matrix, newname)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n CHARACTER(len=*), INTENT(IN) :: newname\n\n matrix%name = newname\n END SUBROUTINE dbcsr_setname\n\n PURE FUNCTION dbcsr_wm_use_mutable(wm) RESULT(use_mutable)\n !! Returns whether this work matrix uses the mutable type\n\n TYPE(dbcsr_work_type), INTENT(IN) :: wm\n !! work matrix\n LOGICAL :: use_mutable\n !! use the mutable and not append-only working structures\n\n! ---------------------------------------------------------------------------\n\n use_mutable = dbcsr_mutable_instantiated(wm%mutable)\n END FUNCTION dbcsr_wm_use_mutable\n\n PURE FUNCTION dbcsr_use_mutable(matrix) RESULT(use_mutable)\n !! Returns whether work matrices should use the mutable data type\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix\n LOGICAL :: use_mutable\n !! use the mutable and not append-only working structures\n\n! ---------------------------------------------------------------------------\n\n use_mutable = matrix%work_mutable\n END FUNCTION dbcsr_use_mutable\n\n FUNCTION dbcsr_row_block_sizes(matrix) RESULT(row_blk_sizes)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: row_blk_sizes\n\n row_blk_sizes => array_data(matrix%row_blk_size)\n END FUNCTION dbcsr_row_block_sizes\n\n FUNCTION dbcsr_col_block_sizes(matrix) RESULT(col_blk_sizes)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_blk_sizes\n\n col_blk_sizes => array_data(matrix%col_blk_size)\n END FUNCTION dbcsr_col_block_sizes\n\n FUNCTION dbcsr_col_block_offsets(matrix) RESULT(col_blk_offsets)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_blk_offsets\n\n col_blk_offsets => array_data(matrix%col_blk_offset)\n END FUNCTION dbcsr_col_block_offsets\n\n FUNCTION dbcsr_row_block_offsets(matrix) RESULT(row_blk_offsets)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: row_blk_offsets\n\n row_blk_offsets => array_data(matrix%row_blk_offset)\n END FUNCTION dbcsr_row_block_offsets\n\n PURE FUNCTION dbcsr_blk_row_size(matrix, row) RESULT(row_size)\n !! Returns the blocked row size of a row\n !! This routine is optimized for speed and no checks are performed.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: row\n !! row number\n INTEGER :: row_size\n !! blocked row size\n\n row_size = matrix%row_blk_size%low%data(row)\n END FUNCTION dbcsr_blk_row_size\n\n PURE FUNCTION dbcsr_blk_row_offset(matrix, row) RESULT(row_offset)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: row\n INTEGER :: row_offset\n\n row_offset = matrix%row_blk_offset%low%data(row)\n END FUNCTION dbcsr_blk_row_offset\n\n PURE FUNCTION dbcsr_blk_column_size(matrix, column) RESULT(column_size)\n !! Returns the blocked column size of a column\n !! This routine is optimized for speed and no checks are performed.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: column\n !! column number\n INTEGER :: column_size\n !! blocked row size\n\n column_size = matrix%col_blk_size%low%data(column)\n END FUNCTION dbcsr_blk_column_size\n\n PURE FUNCTION dbcsr_blk_col_offset(matrix, col) RESULT(col_offset)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: col\n INTEGER :: col_offset\n\n col_offset = matrix%col_blk_offset%low%data(col)\n END FUNCTION dbcsr_blk_col_offset\n\n FUNCTION dbcsr_data_area(matrix) RESULT(data_area)\n !! Returns the data area\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix from which to get data\n TYPE(dbcsr_data_obj) :: data_area\n !! data area\n\n data_area = matrix%data_area\n END FUNCTION dbcsr_data_area\n\n PURE FUNCTION dbcsr_get_matrix_type(matrix) RESULT(matrix_type)\n !! Returns the matrix type\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! query this matrix\n CHARACTER :: matrix_type\n !! matrix_type (see dbcsr_types.F for possible values)\n\n matrix_type = dbcsr_type_invalid\n IF (matrix%symmetry) THEN\n IF ((.NOT. matrix%negate_real) .AND. matrix%negate_imaginary) THEN\n matrix_type = dbcsr_type_hermitian\n ELSEIF (matrix%negate_real .AND. (.NOT. matrix%negate_imaginary)) THEN\n matrix_type = dbcsr_type_antihermitian\n ELSEIF (matrix%negate_real .AND. matrix%negate_imaginary) THEN\n matrix_type = dbcsr_type_antisymmetric\n ELSEIF ((.NOT. matrix%negate_real) .AND. (.NOT. matrix%negate_imaginary)) THEN\n matrix_type = dbcsr_type_symmetric\n END IF\n ELSE\n matrix_type = dbcsr_type_no_symmetry\n END IF\n END FUNCTION dbcsr_get_matrix_type\n\n PURE FUNCTION dbcsr_has_symmetry(matrix) RESULT(has_symmetry)\n !! Whether matrix has symmetry\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! query this matrix\n LOGICAL :: has_symmetry\n !! matrix has symmetry\n\n has_symmetry = matrix%symmetry\n END FUNCTION dbcsr_has_symmetry\n\n PURE FUNCTION dbcsr_get_replication_type(matrix) RESULT(repl_type)\n !! Returns the data type stored in the matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! query this matrix\n CHARACTER :: repl_type\n !! repl_type (see dbcsr_types.F for possible values)\n\n repl_type = matrix%replication_type\n END FUNCTION dbcsr_get_replication_type\n\n PURE FUNCTION dbcsr_get_data_type(matrix) RESULT(data_type)\n !! Returns the data type stored in the matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! query this matrix\n INTEGER :: data_type\n !! data_type (see dbcsr_types.F for possible values)\n\n data_type = matrix%data_type\n END FUNCTION dbcsr_get_data_type\n\n FUNCTION dbcsr_get_data_memory_type(matrix) &\n RESULT(memory_type)\n !! Returns the type of memory used for data in the matrix\n !! @note\n !! It returns the declared data type, not the actually used type\n !! @endnote\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! query this matrix\n TYPE(dbcsr_memtype_type) :: memory_type\n !! memory type used for data\n\n memory_type = matrix%data_memory_type\n END FUNCTION dbcsr_get_data_memory_type\n\n FUNCTION dbcsr_get_index_memory_type(matrix) RESULT(memory_type)\n !! Returns the type of memory used for the index in the matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! query this matrix\n TYPE(dbcsr_memtype_type) :: memory_type\n !! memory type used for the index\n\n memory_type = matrix%index_memory_type\n END FUNCTION dbcsr_get_index_memory_type\n\n! PURE FUNCTION uses_special_memory_matrix (matrix) RESULT (uses_special)\n! !! Returns whether the matrix uses specially-allocated memory\n! TYPE(dbcsr_type), INTENT(IN) :: matrix\n! !! query this matrix\n! LOGICAL :: uses_special\n! !! whether the matrix uses specially allocated memory\n!\n! uses_special = matrix%data_memory_type .NE. dbcsr_memory_default\n! END FUNCTION uses_special_memory_matrix\n!\n!\n! PURE FUNCTION uses_special_memory_area (area) RESULT (uses_special)\n! !! Returns whether the data area uses special-allocated memory\n! TYPE(dbcsr_data_obj), INTENT(IN) :: area\n! !! query this data area\n! LOGICAL :: uses_special\n! !! whether the data area uses specially allocated memory\n!\n! IF (ASSOCIATED (area%d)) THEN\n! uses_special = area%d%memory_type .NE. dbcsr_memory_default\n! ELSE\n! uses_special = .FALSE.\n! ENDIF\n! END FUNCTION uses_special_memory_area\n!\n\n FUNCTION dbcsr_get_data_size(matrix) RESULT(data_size)\n !! Returns the allocated data size of a DBCSR matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix\n INTEGER :: data_size\n !! size of data\n\n INTEGER :: data_type\n\n data_size = 0\n data_type = dbcsr_get_data_type(matrix)\n IF (data_type .NE. dbcsr_type_real_8 .AND. &\n data_type .NE. dbcsr_type_real_4 .AND. &\n data_type .NE. dbcsr_type_complex_8 .AND. &\n data_type .NE. dbcsr_type_complex_4) DBCSR_ABORT(\"Incorrect data type\")\n data_size = dbcsr_data_get_size(matrix%data_area)\n END FUNCTION dbcsr_get_data_size\n\n FUNCTION dbcsr_get_data_size_used(matrix) RESULT(data_size)\n !! Count actual data storage used for matrix data.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! Count data of this matrix\n INTEGER :: data_size\n !! Data size used by matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_data_size_used'\n\n INTEGER :: blk, col, error_handle, nze, row\n INTEGER, DIMENSION(:), POINTER :: col_blk_sizes, row_blk_sizes\n\n!type(dbcsr_iterator_type) :: iter\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n row_blk_sizes => dbcsr_row_block_sizes(matrix)\n col_blk_sizes => dbcsr_col_block_sizes(matrix)\n data_size = 0\n!$OMP DO\n DO row = 1, matrix%nblkrows_total\n DO blk = matrix%row_p(row) + 1, matrix%row_p(row + 1)\n col = matrix%col_i(blk)\n IF (matrix%blk_p(blk) .NE. 0) THEN\n nze = row_blk_sizes(row)*col_blk_sizes(col)\n data_size = data_size + nze\n END IF\n END DO\n END DO\n!$OMP END DO\n CALL timestop(error_handle)\n END FUNCTION dbcsr_get_data_size_used\n\n PURE FUNCTION dbcsr_get_num_blocks(matrix) RESULT(num_blocks)\n !! Returns the number of blocks in the matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix from which to get data\n INTEGER :: num_blocks\n\n num_blocks = matrix%nblks\n END FUNCTION dbcsr_get_num_blocks\n\n PURE FUNCTION dbcsr_get_nze(matrix) RESULT(num_nze)\n !! Returns the number of non-zero elements in the matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix from which to get data\n INTEGER :: num_nze\n\n num_nze = matrix%nze\n END FUNCTION dbcsr_get_nze\n\n! **************************************************************************************************\n! Arrays\n! **************************************************************************************************\n\n SUBROUTINE dbcsr_destroy_1d_array(marray)\n !! Releases all matrices in a 1-d array.\n\n TYPE(dbcsr_1d_array_type), INTENT(INOUT) :: marray\n !! matrix array\n\n INTEGER :: i\n\n! ---------------------------------------------------------------------------\n\n DO i = LBOUND(marray%mats, 1), UBOUND(marray%mats, 1)\n CALL dbcsr_destroy(marray%mats(i), force=.TRUE.)\n END DO\n CALL dbcsr_image_dist_release(marray%image_dist)\n DEALLOCATE (marray%mats)\n END SUBROUTINE dbcsr_destroy_1d_array\n\n SUBROUTINE dbcsr_destroy_2d_array(marray)\n !! Releases all matrices in 2-d array.\n\n TYPE(dbcsr_2d_array_type), INTENT(INOUT) :: marray\n !! matrix array\n\n INTEGER :: col, row\n\n! ---------------------------------------------------------------------------\n\n DO row = LBOUND(marray%mats, 1), UBOUND(marray%mats, 1)\n DO col = LBOUND(marray%mats, 2), UBOUND(marray%mats, 2)\n CALL dbcsr_destroy(marray%mats(row, col), force=.TRUE.)\n END DO\n END DO\n CALL dbcsr_image_dist_release(marray%image_dist)\n DEALLOCATE (marray%mats)\n END SUBROUTINE dbcsr_destroy_2d_array\n\n SUBROUTINE dbcsr_image_dist_release(imgdist)\n !! Releases a reference to and possible deallocates an image\n !! distribution\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n\n IF (ASSOCIATED(imgdist%i)) THEN\n imgdist%i%refcount = imgdist%i%refcount - 1\n IF (imgdist%i%refcount .EQ. 0) THEN\n CALL dbcsr_destroy_image_dist(imgdist%i)\n DEALLOCATE (imgdist%i)\n END IF\n END IF\n END SUBROUTINE dbcsr_image_dist_release\n\n SUBROUTINE dbcsr_image_dist_hold(imgdist)\n !! Retains a reference to an image distribution\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n\n imgdist%i%refcount = imgdist%i%refcount + 1\n END SUBROUTINE dbcsr_image_dist_hold\n\n SUBROUTINE dbcsr_image_dist_init(imgdist)\n !! Initialized an image distribution\n !!\n !! Akin to nullify.\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(OUT) :: imgdist\n\n NULLIFY (imgdist%i)\n END SUBROUTINE dbcsr_image_dist_init\n\n SUBROUTINE dbcsr_destroy_image_dist(imgdist)\n !! Destroys a DBCSR distribution for a matrix multiplication based on\n !! the right matrix\n\n TYPE(dbcsr_imagedistribution_type), INTENT(INOUT) :: imgdist\n !! product distribution repetition\n\n INTEGER :: i\n\n! ---------------------------------------------------------------------------\n\n CALL array_release(imgdist%row_image)\n CALL array_release(imgdist%col_image)\n CALL dbcsr_distribution_release(imgdist%main)\n !\n CALL array_release(imgdist%vrow_dist)\n CALL array_release(imgdist%vcol_dist)\n !\n IF (imgdist%has_other_vl_rows) THEN\n DO i = LBOUND(imgdist%other_vl_rows, 1), UBOUND(imgdist%other_vl_rows, 1)\n CALL array_release(imgdist%other_vl_rows(i))\n END DO\n DEALLOCATE (imgdist%other_vl_rows)\n imgdist%has_other_vl_rows = .FALSE.\n END IF\n !\n IF (imgdist%has_other_vl_cols) THEN\n DO i = LBOUND(imgdist%other_vl_cols, 1), UBOUND(imgdist%other_vl_cols, 1)\n CALL array_release(imgdist%other_vl_cols(i))\n END DO\n DEALLOCATE (imgdist%other_vl_cols)\n imgdist%has_other_vl_cols = .FALSE.\n END IF\n !\n IF (imgdist%has_global_vrow_map) THEN\n CALL array_release(imgdist%global_vrow_map)\n END IF\n IF (imgdist%has_global_vcol_map) THEN\n CALL array_release(imgdist%global_vcol_map)\n END IF\n END SUBROUTINE dbcsr_destroy_image_dist\n\n! **************************************************************************************************\n! Mutable data\n! **************************************************************************************************\n\n SUBROUTINE dbcsr_mutable_init(mutable)\n !! Initializes a mutable data type\n\n TYPE(dbcsr_mutable_obj), INTENT(OUT) :: mutable\n !! mutable data\n\n NULLIFY (mutable%m)\n END SUBROUTINE dbcsr_mutable_init\n\n SUBROUTINE dbcsr_mutable_destroy(mutable)\n !! Destroys a mutable data type\n\n TYPE(dbcsr_mutable_obj), INTENT(INOUT) :: mutable\n !! mutable data\n\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(mutable%m)) THEN\n CALL btree_delete(mutable%m%btree_s)\n CALL btree_delete(mutable%m%btree_d)\n CALL btree_delete(mutable%m%btree_c)\n CALL btree_delete(mutable%m%btree_z)\n DEALLOCATE (mutable%m)\n END IF\n NULLIFY (mutable%m)\n END SUBROUTINE dbcsr_mutable_destroy\n\n SUBROUTINE dbcsr_mutable_release(mutable)\n !! Unregisters a reference to the mutable data type\n !! The object is destroy when there is no reference to it left.\n\n TYPE(dbcsr_mutable_obj), INTENT(INOUT) :: mutable\n !! mutable data\n\n! ---------------------------------------------------------------------------\n\n IF (.NOT. ASSOCIATED(mutable%m)) &\n DBCSR_ABORT(\"Mutable data area not instantiated\")\n mutable%m%refcount = mutable%m%refcount - 1\n IF (mutable%m%refcount .EQ. 0) THEN\n CALL dbcsr_mutable_destroy(mutable)\n END IF\n END SUBROUTINE dbcsr_mutable_release\n\n SUBROUTINE dbcsr_mutable_new(mutable, data_type)\n !! Creates a new mutable instance.\n\n TYPE(dbcsr_mutable_obj), INTENT(INOUT) :: mutable\n !! mutable data\n INTEGER, INTENT(IN) :: data_type\n !! data type to be stored here (see dbcsr_types for possibilities)\n\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(mutable%m)) &\n DBCSR_ABORT(\"Mutable data area already instantiated\")\n IF (data_type .NE. dbcsr_type_real_4 &\n .AND. data_type .NE. dbcsr_type_real_8 &\n .AND. data_type .NE. dbcsr_type_complex_4 &\n .AND. data_type .NE. dbcsr_type_complex_8) &\n DBCSR_ABORT(\"Invalid data type\")\n ALLOCATE (mutable%m)\n mutable%m%refcount = 1\n mutable%m%data_type = data_type\n CALL btree_new(mutable%m%btree_s)\n CALL btree_new(mutable%m%btree_d)\n CALL btree_new(mutable%m%btree_c)\n CALL btree_new(mutable%m%btree_z)\n END SUBROUTINE dbcsr_mutable_new\n\n PURE FUNCTION dbcsr_mutable_instantiated(mutable) RESULT(instantiated)\n !! Unregisters a reference to the mutable data type\n !! The object is destroy when there is no reference to it left.\n\n TYPE(dbcsr_mutable_obj), INTENT(IN) :: mutable\n !! mutable data\n LOGICAL :: instantiated\n !! whether the object is instantiated\n\n! ---------------------------------------------------------------------------\n\n instantiated = ASSOCIATED(mutable%m)\n END FUNCTION dbcsr_mutable_instantiated\n\nEND MODULE dbcsr_methods\n" }, { "path": "src/core/dbcsr_print_messages.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_print_messages\n !! Perform an abnormal program termination.\n !! @note\n !! These routines are low-level and thus provide also an error recovery\n !! when dependencies do not allow the use of the error logger. Only\n !! the master (root) process will dump, if para_env is available and\n !! properly specified. Otherwise (without any information about the\n !! parallel environment) most likely more than one process or even all\n !! processes will send their error dump to the default output unit.\n !! @endnote\n\n#include \"base/dbcsr_base_uses.f90\"\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_print_messages'\n\n PUBLIC :: print_message\n\nCONTAINS\n\n SUBROUTINE print_message(message, output_unit, declev, before, after)\n !! Perform a basic blocking of the text in message and print it\n !! optionally decorated with a frame of stars as defined by declev.\n !! @note\n !! after : Number of empty lines after the message.\n !! before : Number of empty lines before the message.\n !! declev : Decoration level (0,1,2, ... star lines).\n !! message : String with the message text.\n !! output_unit: Logical unit number of output unit.\n !! @endnote\n\n CHARACTER(LEN=*), INTENT(IN) :: message\n INTEGER, INTENT(IN) :: output_unit\n INTEGER, INTENT(IN), OPTIONAL :: declev, before, after\n\n INTEGER :: blank_lines_after, blank_lines_before, &\n decoration_level, i, ibreak, ipos1, &\n ipos2, maxrowlen, msglen, nrow, rowlen\n\n IF (PRESENT(after)) THEN\n blank_lines_after = MAX(after, 0)\n ELSE\n blank_lines_after = 1\n END IF\n\n IF (PRESENT(before)) THEN\n blank_lines_before = MAX(before, 0)\n ELSE\n blank_lines_before = 1\n END IF\n\n IF (PRESENT(declev)) THEN\n decoration_level = MAX(declev, 0)\n ELSE\n decoration_level = 0\n END IF\n\n IF (decoration_level == 0) THEN\n rowlen = 78\n ELSE\n rowlen = 70\n END IF\n\n msglen = LEN_TRIM(message)\n\n ! Calculate number of rows\n\n nrow = msglen/(rowlen + 1) + 1\n\n ! Calculate appropriate row length\n\n rowlen = MIN(msglen, rowlen)\n\n ! Generate the blank lines before the message\n\n DO i = 1, blank_lines_before\n WRITE (UNIT=output_unit, FMT=\"(A)\") \"\"\n END DO\n\n ! Scan for the longest row\n\n ipos1 = 1\n ipos2 = rowlen\n maxrowlen = 0\n\n DO\n IF (ipos2 < msglen) THEN\n i = INDEX(message(ipos1:ipos2), \" \", BACK=.TRUE.)\n IF (i == 0) THEN\n ibreak = ipos2\n ELSE\n ibreak = ipos1 + i - 2\n END IF\n ELSE\n ibreak = ipos2\n END IF\n\n maxrowlen = MAX(maxrowlen, ibreak - ipos1 + 1)\n\n ipos1 = ibreak + 2\n ipos2 = MIN(msglen, ipos1 + rowlen - 1)\n\n ! When the last row is processed, exit loop\n\n IF (ipos1 > msglen) EXIT\n\n END DO\n\n ! Generate the first set of star rows\n\n IF (decoration_level > 1) THEN\n DO i = 1, decoration_level - 1\n WRITE (UNIT=output_unit, FMT=\"(T2,A)\") REPEAT(\"*\", maxrowlen + 8)\n END DO\n END IF\n\n ! Break long messages\n\n ipos1 = 1\n ipos2 = rowlen\n\n DO\n IF (ipos2 < msglen) THEN\n i = INDEX(message(ipos1:ipos2), \" \", BACK=.TRUE.)\n IF (i == 0) THEN\n ibreak = ipos2\n ELSE\n ibreak = ipos1 + i - 2\n END IF\n ELSE\n ibreak = ipos2\n END IF\n\n IF (decoration_level == 0) THEN\n WRITE (UNIT=output_unit, FMT=\"(T2,A)\") message(ipos1:ibreak)\n ELSE IF (decoration_level > 0) THEN\n WRITE (UNIT=output_unit, FMT=\"(T2,A)\") &\n \"*** \"//message(ipos1:ibreak)//REPEAT(\" \", ipos1 + maxrowlen - ibreak)//\"***\"\n END IF\n\n ipos1 = ibreak + 2\n ipos2 = MIN(msglen, ipos1 + rowlen - 1)\n\n ! When the last row is processed, exit loop\n\n IF (ipos1 > msglen) EXIT\n END DO\n\n ! Generate the second set star rows\n\n IF (decoration_level > 1) THEN\n DO i = 1, decoration_level - 1\n WRITE (UNIT=output_unit, FMT=\"(T2,A)\") REPEAT(\"*\", maxrowlen + 8)\n END DO\n END IF\n\n ! Generate the blank lines after the message\n\n DO i = 1, blank_lines_after\n WRITE (UNIT=output_unit, FMT=\"(A)\") \"\"\n END DO\n\n END SUBROUTINE print_message\n\nEND MODULE dbcsr_print_messages\n" }, { "path": "src/core/dbcsr_timings.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_timings\n !! Timing routines for accounting\n USE dbcsr_base_hooks, ONLY: timeset_hook, &\n timestop_hook\n USE dbcsr_cuda_profiling, ONLY: cuda_nvtx_range_pop, &\n cuda_nvtx_range_push\n USE dbcsr_acc_devmem, ONLY: acc_devmem_info\n USE dbcsr_dict, ONLY: dict_destroy, &\n dict_get, &\n dict_i4tuple_callstat_item_type, &\n dict_init, &\n dict_items, &\n dict_set, &\n dict_size\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp, &\n int_8\n USE dbcsr_list, ONLY: &\n list_destroy, list_get, list_init, list_isready, list_peek, list_pop, list_push, &\n list_size, list_timerenv_type\n USE dbcsr_machine, ONLY: m_energy, &\n m_flush, &\n m_memory, &\n m_walltime\n USE dbcsr_timings_base_type, ONLY: call_stat_type, &\n callstack_entry_type, &\n routine_stat_type\n USE dbcsr_timings_types, ONLY: timer_env_type\n USE dbcsr_hip_profiling, ONLY: roctxRangePushA, &\n roctxRangePop\n USE ISO_C_BINDING, ONLY: C_NULL_CHAR\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n PUBLIC :: print_stack, timings_register_hooks\n\n ! these routines are currently only used by environment.F and f77_interface.F\n PUBLIC :: add_timer_env, rm_timer_env, get_timer_env\n PUBLIC :: timer_env_retain, timer_env_release\n PUBLIC :: timings_setup_tracing\n\n ! global variables\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_timings'\n TYPE(list_timerenv_type), SAVE, PRIVATE :: timers_stack\n\n !API (via pointer assignment to hook, PR67982, not meant to be called directly)\n PUBLIC :: timeset_handler, timestop_handler\n\n INTEGER, PUBLIC, PARAMETER :: default_timings_level = 1\n INTEGER, PUBLIC, SAVE :: global_timings_level = default_timings_level\n\nCONTAINS\n\n SUBROUTINE timings_register_hooks()\n !! Registers handlers with base_hooks.F\n timeset_hook => timeset_handler\n timestop_hook => timestop_handler\n END SUBROUTINE timings_register_hooks\n\n SUBROUTINE add_timer_env(timer_env)\n !! adds the given timer_env to the top of the stack\n !! @note\n !! for each init_timer_env there should be the symmetric call to\n !! rm_timer_env\n\n TYPE(timer_env_type), OPTIONAL, POINTER :: timer_env\n\n TYPE(timer_env_type), POINTER :: timer_env_\n\n IF (PRESENT(timer_env)) timer_env_ => timer_env\n IF (.NOT. PRESENT(timer_env)) CALL timer_env_create(timer_env_)\n IF (.NOT. ASSOCIATED(timer_env_)) &\n DBCSR_ABORT(\"add_timer_env: not associated\")\n\n CALL timer_env_retain(timer_env_)\n IF (.NOT. list_isready(timers_stack)) CALL list_init(timers_stack)\n CALL list_push(timers_stack, timer_env_)\n END SUBROUTINE add_timer_env\n\n SUBROUTINE timer_env_create(timer_env)\n !! creates a new timer env\n TYPE(timer_env_type), POINTER :: timer_env\n\n INTEGER :: stat\n\n ALLOCATE (timer_env, stat=stat)\n IF (stat /= 0) &\n DBCSR_ABORT(\"timer_env_create: allocation failed\")\n timer_env%ref_count = 0\n timer_env%trace_max = -1 ! tracing disabled by default\n timer_env%trace_all = .FALSE.\n CALL dict_init(timer_env%routine_names)\n CALL dict_init(timer_env%callgraph)\n CALL list_init(timer_env%routine_stats)\n CALL list_init(timer_env%callstack)\n END SUBROUTINE timer_env_create\n\n SUBROUTINE rm_timer_env()\n !! removes the current timer env from the stack\n !! @note\n !! for each rm_timer_env there should have been the symmetric call to\n !! add_timer_env\n\n TYPE(timer_env_type), POINTER :: timer_env\n\n timer_env => list_pop(timers_stack)\n CALL timer_env_release(timer_env)\n IF (list_size(timers_stack) == 0) CALL list_destroy(timers_stack)\n END SUBROUTINE rm_timer_env\n\n FUNCTION get_timer_env() RESULT(timer_env)\n !! returns the current timer env from the stack\n TYPE(timer_env_type), POINTER :: timer_env\n\n timer_env => list_peek(timers_stack)\n END FUNCTION get_timer_env\n\n SUBROUTINE timer_env_retain(timer_env)\n !! retains the given timer env\n\n TYPE(timer_env_type), POINTER :: timer_env\n !! the timer env to retain\n\n IF (.NOT. ASSOCIATED(timer_env)) &\n DBCSR_ABORT(\"timer_env_retain: not associated\")\n IF (timer_env%ref_count < 0) &\n DBCSR_ABORT(\"timer_env_retain: negative ref_count\")\n timer_env%ref_count = timer_env%ref_count + 1\n END SUBROUTINE timer_env_retain\n\n SUBROUTINE timer_env_release(timer_env)\n !! releases the given timer env\n\n TYPE(timer_env_type), POINTER :: timer_env\n !! the timer env to release\n\n INTEGER :: i\n TYPE(dict_i4tuple_callstat_item_type), &\n DIMENSION(:), POINTER :: ct_items\n TYPE(routine_stat_type), POINTER :: r_stat\n\n IF (.NOT. ASSOCIATED(timer_env)) &\n DBCSR_ABORT(\"timer_env_release: not associated\")\n IF (timer_env%ref_count < 0) &\n DBCSR_ABORT(\"timer_env_release: negative ref_count\")\n timer_env%ref_count = timer_env%ref_count - 1\n IF (timer_env%ref_count > 0) RETURN\n\n ! No more references left - let's tear down this timer_env...\n\n DO i = 1, list_size(timer_env%routine_stats)\n r_stat => list_get(timer_env%routine_stats, i)\n DEALLOCATE (r_stat)\n END DO\n\n ct_items => dict_items(timer_env%callgraph)\n DO i = 1, SIZE(ct_items)\n DEALLOCATE (ct_items(i)%value)\n END DO\n DEALLOCATE (ct_items)\n\n CALL dict_destroy(timer_env%routine_names)\n CALL dict_destroy(timer_env%callgraph)\n CALL list_destroy(timer_env%callstack)\n CALL list_destroy(timer_env%routine_stats)\n DEALLOCATE (timer_env)\n END SUBROUTINE timer_env_release\n\n SUBROUTINE timeset_handler(routineN, handle)\n !! Start timer\n CHARACTER(LEN=*), INTENT(IN) :: routineN\n INTEGER, INTENT(OUT) :: handle\n\n CHARACTER(LEN=400) :: line, mystring\n CHARACTER(LEN=60) :: sformat\n CHARACTER(LEN=default_string_length) :: routine_name_dsl\n INTEGER :: routine_id, stack_size\n#if defined( __HIP_PROFILING )\n INTEGER :: ret\n#endif\n INTEGER(KIND=int_8) :: cpumem, gpumem_free, gpumem_total\n TYPE(callstack_entry_type) :: cs_entry\n TYPE(routine_stat_type), POINTER :: r_stat\n TYPE(timer_env_type), POINTER :: timer_env\n\n!$OMP MASTER\n\n ! Default value, using a negative value when timing is not taken\n cs_entry%walltime_start = -HUGE(1.0_dp)\n cs_entry%energy_start = -HUGE(1.0_dp)\n !\n routine_name_dsl = routineN ! converts to default_string_length\n routine_id = routine_name2id(routine_name_dsl)\n !\n ! Take timings when the timings_level is appropriated\n IF (global_timings_level .NE. 0) THEN\n cs_entry%walltime_start = m_walltime()\n cs_entry%energy_start = m_energy()\n END IF\n timer_env => list_peek(timers_stack)\n\n IF (LEN_TRIM(routineN) > default_string_length) THEN\n DBCSR_ABORT('timings_timeset: routineN too long: \"'//TRIM(routineN)//\"'\")\n END IF\n\n ! update routine r_stats\n r_stat => list_get(timer_env%routine_stats, routine_id)\n stack_size = list_size(timer_env%callstack)\n r_stat%total_calls = r_stat%total_calls + 1\n r_stat%active_calls = r_stat%active_calls + 1\n r_stat%stackdepth_accu = r_stat%stackdepth_accu + stack_size + 1\n\n ! add routine to callstack\n cs_entry%routine_id = routine_id\n CALL list_push(timer_env%callstack, cs_entry)\n\n !..if debug mode echo the subroutine name\n IF ((timer_env%trace_all .OR. r_stat%trace) .AND. &\n (r_stat%total_calls < timer_env%trace_max)) THEN\n WRITE (sformat, *) \"(A,A,\", MAX(1, 3*stack_size - 4), \"X,I4,1X,I6,1X,A,A)\"\n WRITE (mystring, sformat) timer_env%trace_str, \">>\", stack_size + 1, &\n r_stat%total_calls, TRIM(r_stat%routineN), \" start\"\n CALL acc_devmem_info(gpumem_free, gpumem_total)\n CALL m_memory(cpumem)\n WRITE (line, '(A,A,I0,A,A,I0,A)') TRIM(mystring), &\n \" Hostmem: \", (cpumem + 1024**2 - 1)/1024**2, \" MiB\", &\n \" GPUmem: \", (gpumem_total - gpumem_free)/1024**2, \" MiB\"\n WRITE (timer_env%trace_unit, *) TRIM(line)\n CALL m_flush(timer_env%trace_unit)\n END IF\n\n handle = routine_id\n\n#if defined( __CUDA_PROFILING )\n CALL cuda_nvtx_range_push(routineN)\n#endif\n#if defined( __HIP_PROFILING )\n ret = roctxRangePushA(routineN//C_NULL_CHAR)\n#endif\n\n!$OMP END MASTER\n\n END SUBROUTINE timeset_handler\n\n SUBROUTINE timestop_handler(handle)\n !! End timer\n INTEGER, INTENT(in) :: handle\n\n CHARACTER(LEN=400) :: line, mystring\n CHARACTER(LEN=60) :: sformat\n INTEGER :: routine_id, stack_size\n INTEGER(KIND=int_8) :: cpumem, gpumem_free, gpumem_total\n INTEGER, DIMENSION(2) :: routine_tuple\n REAL(KIND=dp) :: en_elapsed, en_now, wt_elapsed, wt_now\n TYPE(call_stat_type), POINTER :: c_stat\n TYPE(callstack_entry_type) :: cs_entry, prev_cs_entry\n TYPE(routine_stat_type), POINTER :: prev_stat, r_stat\n TYPE(timer_env_type), POINTER :: timer_env\n\n routine_id = handle\n\n!$OMP MASTER\n\n#if defined( __CUDA_PROFILING )\n CALL cuda_nvtx_range_pop()\n#endif\n#if defined( __HIP_PROFILING )\n CALL roctxRangePop()\n#endif\n\n timer_env => list_peek(timers_stack)\n cs_entry = list_pop(timer_env%callstack)\n r_stat => list_get(timer_env%routine_stats, cs_entry%routine_id)\n\n IF (handle /= cs_entry%routine_id) THEN\n PRINT *, \"list_size(timer_env%callstack) \", list_size(timer_env%callstack), &\n \" list_size(timers_stack) \", list_size(timers_stack), &\n \" got handle \", handle, \" expected routineid \", cs_entry%routine_id\n DBCSR_ABORT('mismatched timestop '//TRIM(r_stat%routineN)//' in routine timestop')\n END IF\n\n wt_elapsed = 0\n en_elapsed = 0\n ! Take timings only when the start time is >=0, i.e. the timings_level is appropriated\n IF (cs_entry%walltime_start .GE. 0) THEN\n wt_now = m_walltime()\n en_now = m_energy()\n ! add the elapsed time for this timeset/timestop to the time accumulator\n wt_elapsed = wt_now - cs_entry%walltime_start\n en_elapsed = en_now - cs_entry%energy_start\n END IF\n r_stat%active_calls = r_stat%active_calls - 1\n\n ! if we're the last instance in the stack, we do the accounting of the total time\n IF (r_stat%active_calls == 0) THEN\n r_stat%incl_walltime_accu = r_stat%incl_walltime_accu + wt_elapsed\n r_stat%incl_energy_accu = r_stat%incl_energy_accu + en_elapsed\n END IF\n\n ! exclusive time we always sum, since children will correct this time with their total time\n r_stat%excl_walltime_accu = r_stat%excl_walltime_accu + wt_elapsed\n r_stat%excl_energy_accu = r_stat%excl_energy_accu + en_elapsed\n\n stack_size = list_size(timer_env%callstack)\n IF (stack_size > 0) THEN\n prev_cs_entry = list_peek(timer_env%callstack)\n prev_stat => list_get(timer_env%routine_stats, prev_cs_entry%routine_id)\n ! we fixup the clock of the caller\n prev_stat%excl_walltime_accu = prev_stat%excl_walltime_accu - wt_elapsed\n prev_stat%excl_energy_accu = prev_stat%excl_energy_accu - en_elapsed\n\n !update callgraph\n routine_tuple = (/prev_cs_entry%routine_id, routine_id/)\n c_stat => dict_get(timer_env%callgraph, routine_tuple, default_value=Null(c_stat))\n IF (.NOT. ASSOCIATED(c_stat)) THEN\n ALLOCATE (c_stat)\n c_stat%total_calls = 0\n c_stat%incl_walltime_accu = 0.0_dp\n c_stat%incl_energy_accu = 0.0_dp\n CALL dict_set(timer_env%callgraph, routine_tuple, c_stat)\n END IF\n c_stat%total_calls = c_stat%total_calls + 1\n c_stat%incl_walltime_accu = c_stat%incl_walltime_accu + wt_elapsed\n c_stat%incl_energy_accu = c_stat%incl_energy_accu + en_elapsed\n END IF\n\n !..if debug mode echo the subroutine name\n IF ((timer_env%trace_all .OR. r_stat%trace) .AND. &\n (r_stat%total_calls < timer_env%trace_max)) THEN\n WRITE (sformat, *) \"(A,A,\", MAX(1, 3*stack_size - 4), \"X,I4,1X,I6,1X,A,F12.3)\"\n WRITE (mystring, sformat) timer_env%trace_str, \"<<\", stack_size + 1, &\n r_stat%total_calls, TRIM(r_stat%routineN), wt_elapsed\n CALL acc_devmem_info(gpumem_free, gpumem_total)\n CALL m_memory(cpumem)\n WRITE (line, '(A,A,I0,A,A,I0,A)') TRIM(mystring), &\n \" Hostmem: \", (cpumem + 1024*1024 - 1)/(1024*1024), \" MB\", &\n \" GPUmem: \", (gpumem_total - gpumem_free)/(1024*1024), \" MB\"\n WRITE (timer_env%trace_unit, *) TRIM(line)\n CALL m_flush(timer_env%trace_unit)\n END IF\n\n!$OMP END MASTER\n\n END SUBROUTINE timestop_handler\n\n SUBROUTINE timings_setup_tracing(trace_max, unit_nr, trace_str, routine_names)\n !! Set routine tracer\n\n INTEGER, INTENT(IN) :: trace_max, unit_nr\n !! maximum number of calls reported per routine. Setting this to zero disables tracing.\n !! output unit used for printing the trace-messages\n CHARACTER(len=13), INTENT(IN) :: trace_str\n !! short info-string which is printed along with every message\n CHARACTER(len=default_string_length), &\n DIMENSION(:), INTENT(IN), OPTIONAL :: routine_names\n !! List of routine-names. If provided only these routines will be traced. If not present all routines will traced.\n\n INTEGER :: i, routine_id\n TYPE(routine_stat_type), POINTER :: r_stat\n TYPE(timer_env_type), POINTER :: timer_env\n\n timer_env => list_peek(timers_stack)\n timer_env%trace_max = trace_max\n timer_env%trace_unit = unit_nr\n timer_env%trace_str = trace_str\n timer_env%trace_all = .TRUE.\n IF (.NOT. PRESENT(routine_names)) RETURN\n\n ! setup routine-specific tracing\n timer_env%trace_all = .FALSE.\n DO i = 1, SIZE(routine_names)\n routine_id = routine_name2id(routine_names(i))\n r_stat => list_get(timer_env%routine_stats, routine_id)\n r_stat%trace = .TRUE.\n END DO\n\n END SUBROUTINE timings_setup_tracing\n\n SUBROUTINE print_stack(unit_nr)\n !! Print current routine stack\n INTEGER, INTENT(IN) :: unit_nr\n\n INTEGER :: i\n TYPE(callstack_entry_type) :: cs_entry\n TYPE(routine_stat_type), POINTER :: r_stat\n TYPE(timer_env_type), POINTER :: timer_env\n\n ! catch edge cases where timer_env is not yet/anymore available\n IF (.NOT. list_isready(timers_stack)) &\n RETURN\n IF (list_size(timers_stack) == 0) &\n RETURN\n\n timer_env => list_peek(timers_stack)\n WRITE (unit_nr, '(/,A,/)') \" ===== Routine Calling Stack ===== \"\n DO i = list_size(timer_env%callstack), 1, -1\n cs_entry = list_get(timer_env%callstack, i)\n r_stat => list_get(timer_env%routine_stats, cs_entry%routine_id)\n WRITE (unit_nr, '(T10,I4,1X,A)') i, TRIM(r_stat%routineN)\n END DO\n CALL m_flush(unit_nr)\n\n END SUBROUTINE print_stack\n\n FUNCTION routine_name2id(routineN) RESULT(routine_id)\n !! Internal routine used by timeset_handler and timings_setup_tracing.\n !! If no routine with given name is found in timer_env%routine_names\n !! then a new entry is created.\n\n CHARACTER(LEN=default_string_length), INTENT(IN) :: routineN\n INTEGER :: routine_id\n\n INTEGER :: stat\n TYPE(routine_stat_type), POINTER :: r_stat\n TYPE(timer_env_type), POINTER :: timer_env\n\n timer_env => list_peek(timers_stack)\n routine_id = dict_get(timer_env%routine_names, routineN, default_value=-1)\n\n IF (routine_id /= -1) RETURN ! found an id - let's return it\n ! routine not found - let's create it\n\n ! enforce space free timer names, to make the output of trace/timings of a fixed number fields\n IF (INDEX(routineN(1:LEN_TRIM(routineN)), ' ') /= 0) THEN\n DBCSR_ABORT(\"timings_name2id: routineN contains spaces: \"//routineN)\n END IF\n\n ! register routine_name_dsl with new routine_id\n routine_id = dict_size(timer_env%routine_names) + 1\n CALL dict_set(timer_env%routine_names, routineN, routine_id)\n\n ALLOCATE (r_stat, stat=stat)\n IF (stat /= 0) &\n DBCSR_ABORT(\"timings_name2id: allocation failed\")\n r_stat%routine_id = routine_id\n r_stat%routineN = routineN\n r_stat%active_calls = 0\n r_stat%excl_walltime_accu = 0.0_dp\n r_stat%incl_walltime_accu = 0.0_dp\n r_stat%excl_energy_accu = 0.0_dp\n r_stat%incl_energy_accu = 0.0_dp\n r_stat%total_calls = 0\n r_stat%stackdepth_accu = 0\n r_stat%trace = .FALSE.\n CALL list_push(timer_env%routine_stats, r_stat)\n IF (list_size(timer_env%routine_stats) /= dict_size(timer_env%routine_names)) &\n DBCSR_ABORT(\"timings_name2id: assertion failed\")\n END FUNCTION routine_name2id\n\nEND MODULE dbcsr_timings\n" }, { "path": "src/core/dbcsr_timings_base_type.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_timings_base_type\n !! Types used by timings.F and timings_report.F\n !! The types in this module are used within dict or list, which are\n !! in turn used in timer_env_type from timings_type.F\n !! Due to the fortran restriction on circular module-dependencies these\n !! \"inner-types\" had to go into a separate module.\n\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp, &\n int_8\n\n IMPLICIT NONE\n PRIVATE\n\n TYPE routine_stat_type\n INTEGER :: routine_id = -1\n CHARACTER(len=default_string_length) :: routineN = \"\"\n REAL(kind=dp) :: excl_walltime_accu = -1.0_dp\n REAL(kind=dp) :: incl_walltime_accu = -1.0_dp\n REAL(kind=dp) :: excl_energy_accu = -1.0_dp\n REAL(kind=dp) :: incl_energy_accu = -1.0_dp\n INTEGER :: active_calls = -1\n INTEGER :: total_calls = -1\n INTEGER :: stackdepth_accu = -1\n LOGICAL :: trace = .FALSE.\n END TYPE routine_stat_type\n\n TYPE call_stat_type\n INTEGER :: total_calls = -1\n REAL(kind=dp) :: incl_walltime_accu = -1.0_dp\n REAL(kind=dp) :: incl_energy_accu = -1.0_dp\n END TYPE call_stat_type\n\n TYPE callstack_entry_type\n INTEGER :: routine_id = -1\n REAL(kind=dp) :: walltime_start = -1.0_dp\n REAL(kind=dp) :: energy_start = -1.0_dp\n END TYPE callstack_entry_type\n\n TYPE routine_report_type\n CHARACTER(LEN=default_string_length) :: routineN = \"\"\n REAL(KIND=dp) :: max_icost = 0.0_dp\n REAL(KIND=dp) :: sum_icost = 0.0_dp\n REAL(KIND=dp) :: max_ecost = 0.0_dp\n REAL(KIND=dp) :: sum_ecost = 0.0_dp\n INTEGER :: max_irank = 0\n INTEGER :: max_erank = 0\n INTEGER(kind=int_8) :: max_total_calls = 0\n INTEGER(kind=int_8) :: sum_total_calls = 0\n INTEGER(kind=int_8) :: sum_stackdepth = 0\n END TYPE routine_report_type\n\n PUBLIC :: routine_stat_type, call_stat_type, callstack_entry_type, routine_report_type\n\nEND MODULE dbcsr_timings_base_type\n\n! **************************************************************************************************\n\n" }, { "path": "src/core/dbcsr_timings_report.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_timings_report\n !! Timing routines for accounting\n USE dbcsr_dict, ONLY: dict_get, &\n dict_haskey, &\n dict_i4tuple_callstat_item_type, &\n dict_items\n USE dbcsr_files, ONLY: close_file, &\n open_file\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp, &\n int_8\n USE dbcsr_list, ONLY: list_destroy, &\n list_get, &\n list_init, &\n list_isready, &\n list_pop, &\n list_push, &\n list_size\n USE dbcsr_list_routinereport, ONLY: list_routinereport_type\n USE dbcsr_mpiwrap, ONLY: mp_bcast, &\n mp_max, &\n mp_maxloc, &\n mp_sum\n USE dbcsr_timings, ONLY: get_timer_env\n USE dbcsr_timings_base_type, ONLY: call_stat_type, &\n routine_report_type, &\n routine_stat_type\n USE dbcsr_timings_types, ONLY: timer_env_type\n USE dbcsr_toollib, ONLY: sort\n USE dbcsr_types, ONLY: dbcsr_mp_obj\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n INTEGER, PUBLIC, PARAMETER :: cost_type_time = 17, cost_type_energy = 18\n\n PUBLIC :: timings_report_print, timings_report_callgraph\n\nCONTAINS\n\n SUBROUTINE timings_report_print(iw, r_timings, sort_by_self_time, cost_type, report_maxloc, mp_env)\n !! Print accumulated information on timers\n\n INTEGER, INTENT(IN) :: iw\n REAL(KIND=dp), INTENT(IN) :: r_timings\n LOGICAL, INTENT(IN) :: sort_by_self_time\n INTEGER, INTENT(IN) :: cost_type\n LOGICAL, INTENT(IN) :: report_maxloc\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n !! is needed to collect statistics from other nodes.\n\n TYPE(list_routinereport_type) :: reports\n TYPE(routine_report_type), POINTER :: r_report\n\n CALL list_init(reports)\n CALL collect_reports_from_ranks(reports, cost_type, mp_env)\n\n IF (list_size(reports) > 0 .AND. iw > 0) &\n CALL print_reports(reports, iw, r_timings, sort_by_self_time, cost_type, report_maxloc, mp_env)\n\n ! deallocate reports\n DO WHILE (list_size(reports) > 0)\n r_report => list_pop(reports)\n DEALLOCATE (r_report)\n END DO\n CALL list_destroy(reports)\n\n END SUBROUTINE timings_report_print\n\n SUBROUTINE collect_reports_from_ranks(reports, cost_type, mp_env)\n !! Collects the timing or energy reports from all MPI ranks.\n TYPE(list_routinereport_type), INTENT(INOUT) :: reports\n INTEGER, INTENT(IN) :: cost_type\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n\n CHARACTER(LEN=default_string_length) :: routineN\n INTEGER :: local_routine_id, sending_rank\n INTEGER, ALLOCATABLE, DIMENSION(:) :: collected\n REAL(KIND=dp) :: foobar\n REAL(KIND=dp), DIMENSION(2) :: dbuf\n TYPE(routine_report_type), POINTER :: r_report\n TYPE(routine_stat_type), POINTER :: r_stat\n TYPE(timer_env_type), POINTER :: timer_env\n\n NULLIFY (r_stat, r_report, timer_env)\n IF (.NOT. list_isready(reports)) &\n DBCSR_ABORT(\"BUG\")\n\n timer_env => get_timer_env()\n\n ! make sure all functions have been called so that list_size(timer_env%routine_stats)\n ! and the actual dictionary are consistent in the loop below, preventing out of bounds.\n ! this hack makes sure they are called before\n routineN = \"\"\n CALL mp_bcast(routineN, 0, mp_env%mp%mp_group)\n sending_rank = 0\n CALL mp_max(sending_rank, mp_env%mp%mp_group)\n CALL mp_sum(sending_rank, mp_env%mp%mp_group)\n foobar = 0.0_dp\n CALL mp_max(foobar, mp_env%mp%mp_group)\n dbuf = 0.0_dp\n CALL mp_maxloc(dbuf, mp_env%mp%mp_group)\n CALL mp_sum(foobar, mp_env%mp%mp_group)\n ! end hack\n\n ! Array collected is used as a bit field.\n ! It's of type integer in order to use the convenient MINLOC routine.\n ALLOCATE (collected(list_size(timer_env%routine_stats)))\n collected(:) = 0\n\n DO\n ! does any rank have uncollected stats?\n sending_rank = -1\n IF (.NOT. ALL(collected == 1)) sending_rank = mp_env%mp%mynode\n CALL mp_max(sending_rank, mp_env%mp%mp_group)\n IF (sending_rank < 0) EXIT ! every rank got all routines collected\n IF (sending_rank == mp_env%mp%mynode) THEN\n local_routine_id = MINLOC(collected, dim=1)\n r_stat => list_get(timer_env%routine_stats, local_routine_id)\n routineN = r_stat%routineN\n END IF\n CALL mp_bcast(routineN, sending_rank, mp_env%mp%mp_group)\n\n ! Create new report for routineN\n ALLOCATE (r_report)\n CALL list_push(reports, r_report)\n r_report%routineN = routineN\n\n ! If routineN was called on local node, add local stats\n IF (dict_haskey(timer_env%routine_names, routineN)) THEN\n local_routine_id = dict_get(timer_env%routine_names, routineN)\n collected(local_routine_id) = 1\n r_stat => list_get(timer_env%routine_stats, local_routine_id)\n r_report%max_total_calls = r_stat%total_calls\n r_report%sum_total_calls = r_stat%total_calls\n r_report%sum_stackdepth = r_stat%stackdepth_accu\n SELECT CASE (cost_type)\n CASE (cost_type_energy)\n r_report%max_icost = r_stat%incl_energy_accu\n r_report%sum_icost = r_stat%incl_energy_accu\n r_report%max_ecost = r_stat%excl_energy_accu\n r_report%sum_ecost = r_stat%excl_energy_accu\n CASE (cost_type_time)\n r_report%max_icost = r_stat%incl_walltime_accu\n r_report%sum_icost = r_stat%incl_walltime_accu\n r_report%max_ecost = r_stat%excl_walltime_accu\n r_report%sum_ecost = r_stat%excl_walltime_accu\n CASE DEFAULT\n DBCSR_ABORT(\"BUG\")\n END SELECT\n END IF\n\n ! collect stats of routineN via MPI\n CALL mp_max(r_report%max_total_calls, mp_env%mp%mp_group)\n CALL mp_sum(r_report%sum_total_calls, mp_env%mp%mp_group)\n CALL mp_sum(r_report%sum_stackdepth, mp_env%mp%mp_group)\n\n ! get value and rank of the maximum inclusive cost\n dbuf = (/r_report%max_icost, REAL(mp_env%mp%mynode, KIND=dp)/)\n CALL mp_maxloc(dbuf, mp_env%mp%mp_group)\n r_report%max_icost = dbuf(1)\n r_report%max_irank = INT(dbuf(2))\n\n CALL mp_sum(r_report%sum_icost, mp_env%mp%mp_group)\n\n ! get value and rank of the maximum exclusive cost\n dbuf = (/r_report%max_ecost, REAL(mp_env%mp%mynode, KIND=dp)/)\n CALL mp_maxloc(dbuf, mp_env%mp%mp_group)\n r_report%max_ecost = dbuf(1)\n r_report%max_erank = INT(dbuf(2))\n\n CALL mp_sum(r_report%sum_ecost, mp_env%mp%mp_group)\n END DO\n\n END SUBROUTINE collect_reports_from_ranks\n\n SUBROUTINE print_reports(reports, iw, threshold, sort_by_exclusiv_cost, cost_type, report_maxloc, mp_env)\n !! Print the collected reports\n TYPE(list_routinereport_type), INTENT(IN) :: reports\n INTEGER, INTENT(IN) :: iw\n REAL(KIND=dp), INTENT(IN) :: threshold\n LOGICAL, INTENT(IN) :: sort_by_exclusiv_cost\n INTEGER, INTENT(IN) :: cost_type\n LOGICAL, INTENT(IN) :: report_maxloc\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n\n CHARACTER(LEN=4) :: label\n CHARACTER(LEN=default_string_length) :: fmt, title\n INTEGER :: decimals, i, j, num_routines\n INTEGER, ALLOCATABLE, DIMENSION(:) :: indices\n REAL(KIND=dp) :: asd, maxcost, mincost\n REAL(KIND=dp), ALLOCATABLE, DIMENSION(:) :: max_costs\n TYPE(routine_report_type), POINTER :: r_report_i, r_report_j\n\n NULLIFY (r_report_i, r_report_j)\n IF (.NOT. list_isready(reports)) &\n DBCSR_ABORT(\"BUG\")\n\n ! are we printing timing or energy ?\n SELECT CASE (cost_type)\n CASE (cost_type_energy)\n title = \"E N E R G Y\"\n label = \"ENER\"\n CASE (cost_type_time)\n title = \"T I M I N G\"\n label = \"TIME\"\n CASE DEFAULT\n DBCSR_ABORT(\"BUG\")\n END SELECT\n\n ! write banner\n WRITE (UNIT=iw, FMT=\"(/,T2,A)\") REPEAT(\"-\", 79)\n WRITE (UNIT=iw, FMT=\"(T2,A,T80,A)\") \"-\", \"-\"\n WRITE (UNIT=iw, FMT=\"(T2,A,T35,A,T80,A)\") \"-\", TRIM(title), \"-\"\n WRITE (UNIT=iw, FMT=\"(T2,A,T80,A)\") \"-\", \"-\"\n WRITE (UNIT=iw, FMT=\"(T2,A)\") REPEAT(\"-\", 79)\n IF (report_maxloc) THEN\n WRITE (UNIT=iw, FMT=\"(T2,A,T35,A,T41,A,T45,2A18,A8)\") &\n \"SUBROUTINE\", \"CALLS\", \" ASD\", \"SELF \"//label, \"TOTAL \"//label, \"MAXRANK\"\n ELSE\n WRITE (UNIT=iw, FMT=\"(T2,A,T35,A,T41,A,T45,2A18)\") &\n \"SUBROUTINE\", \"CALLS\", \" ASD\", \"SELF \"//label, \"TOTAL \"//label\n END IF\n\n WRITE (UNIT=iw, FMT=\"(T33,A)\") &\n \"MAXIMUM AVERAGE MAXIMUM AVERAGE MAXIMUM\"\n\n ! sort statistics\n num_routines = list_size(reports)\n ALLOCATE (max_costs(num_routines))\n DO i = 1, num_routines\n r_report_i => list_get(reports, i)\n IF (sort_by_exclusiv_cost) THEN\n max_costs(i) = r_report_i%max_ecost\n ELSE\n max_costs(i) = r_report_i%max_icost\n END IF\n END DO\n ALLOCATE (indices(num_routines))\n CALL sort(max_costs, num_routines, indices)\n\n maxcost = MAXVAL(max_costs)\n mincost = maxcost*threshold\n\n ! adjust fmt dynamically based on the max walltime.\n ! few clocks have more than 3 digits resolution, so stop there\n decimals = 3\n IF (maxcost >= 10000) decimals = 2\n IF (maxcost >= 100000) decimals = 1\n IF (maxcost >= 1000000) decimals = 0\n IF (report_maxloc) THEN\n WRITE (UNIT=fmt, FMT=\"(A,I0,A)\") &\n \"(T2,A30,1X,I7,1X,F4.1,4(1X,F8.\", decimals, \"),I8)\"\n ELSE\n WRITE (UNIT=fmt, FMT=\"(A,I0,A)\") &\n \"(T2,A30,1X,I7,1X,F4.1,4(1X,F8.\", decimals, \"))\"\n END IF\n\n !write output\n DO i = num_routines, 1, -1\n IF (max_costs(i) >= mincost) THEN\n j = indices(i)\n r_report_j => list_get(reports, j)\n ! average stack depth\n asd = REAL(r_report_j%sum_stackdepth, KIND=dp)/ &\n REAL(MAX(1_int_8, r_report_j%sum_total_calls), KIND=dp)\n IF (report_maxloc) THEN\n WRITE (UNIT=iw, FMT=fmt) &\n ADJUSTL(r_report_j%routineN(1:31)), &\n r_report_j%max_total_calls, &\n asd, &\n r_report_j%sum_ecost/mp_env%mp%numnodes, &\n r_report_j%max_ecost, &\n r_report_j%sum_icost/mp_env%mp%numnodes, &\n r_report_j%max_icost, &\n r_report_j%max_erank\n ELSE\n WRITE (UNIT=iw, FMT=fmt) &\n ADJUSTL(r_report_j%routineN(1:31)), &\n r_report_j%max_total_calls, &\n asd, &\n r_report_j%sum_ecost/mp_env%mp%numnodes, &\n r_report_j%max_ecost, &\n r_report_j%sum_icost/mp_env%mp%numnodes, &\n r_report_j%max_icost\n END IF\n END IF\n END DO\n WRITE (UNIT=iw, FMT=\"(T2,A,/)\") REPEAT(\"-\", 79)\n\n END SUBROUTINE print_reports\n\n SUBROUTINE timings_report_callgraph(filename)\n !! Write accumulated callgraph information as cachegrind-file.\n !! http://kcachegrind.sourceforge.net/cgi-bin/show.cgi/KcacheGrindCalltreeFormat\n\n CHARACTER(len=*), INTENT(in) :: filename\n\n INTEGER, PARAMETER :: E = 1000, T = 100000\n\n INTEGER :: i, unit\n TYPE(call_stat_type), POINTER :: c_stat\n TYPE(dict_i4tuple_callstat_item_type), &\n DIMENSION(:), POINTER :: ct_items\n TYPE(routine_stat_type), POINTER :: r_stat\n TYPE(timer_env_type), POINTER :: timer_env\n\n CALL open_file(file_name=filename, file_status=\"REPLACE\", file_action=\"WRITE\", &\n file_form=\"FORMATTED\", unit_number=unit)\n timer_env => get_timer_env()\n\n ! use outermost routine as total runtime\n r_stat => list_get(timer_env%routine_stats, 1)\n WRITE (UNIT=unit, FMT=\"(A)\") \"events: Walltime Energy\"\n WRITE (UNIT=unit, FMT=\"(A,I0,1X,I0)\") \"summary: \", &\n INT(T*r_stat%incl_walltime_accu, KIND=int_8), &\n INT(E*r_stat%incl_energy_accu, KIND=int_8)\n\n DO i = 1, list_size(timer_env%routine_stats)\n r_stat => list_get(timer_env%routine_stats, i)\n WRITE (UNIT=unit, FMT=\"(A,I0,A,A)\") \"fn=(\", r_stat%routine_id, \") \", r_stat%routineN\n WRITE (UNIT=unit, FMT=\"(A,I0,1X,I0)\") \"1 \", &\n INT(T*r_stat%excl_walltime_accu, KIND=int_8), &\n INT(E*r_stat%excl_energy_accu, KIND=int_8)\n END DO\n\n ct_items => dict_items(timer_env%callgraph)\n DO i = 1, SIZE(ct_items)\n c_stat => ct_items(i)%value\n WRITE (UNIT=unit, FMT=\"(A,I0,A)\") \"fn=(\", ct_items(i)%key(1), \")\"\n WRITE (UNIT=unit, FMT=\"(A,I0,A)\") \"cfn=(\", ct_items(i)%key(2), \")\"\n WRITE (UNIT=unit, FMT=\"(A,I0,A)\") \"calls=\", c_stat%total_calls, \" 1\"\n WRITE (UNIT=unit, FMT=\"(A,I0,1X,I0)\") \"1 \", &\n INT(T*c_stat%incl_walltime_accu, KIND=int_8), &\n INT(E*c_stat%incl_energy_accu, KIND=int_8)\n END DO\n DEALLOCATE (ct_items)\n\n CALL close_file(unit_number=unit, file_status=\"KEEP\")\n\n END SUBROUTINE timings_report_callgraph\nEND MODULE dbcsr_timings_report\n\n" }, { "path": "src/core/dbcsr_timings_types.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_timings_types\n !! Types used by timings.F and timings_report.F\n !! Due to the fortran restriction on circular module-dependencies\n !! the types, which are used through dict or list had to go\n !! into the separate module timings_base_type.F\n\n USE dbcsr_dict, ONLY: dict_i4tuple_callstat_type, &\n dict_str_i4_type\n USE dbcsr_list_callstackentry, ONLY: list_callstackentry_type\n USE dbcsr_list_routinestat, ONLY: list_routinestat_type\n\n IMPLICIT NONE\n PRIVATE\n\n TYPE timer_env_type\n INTEGER :: ref_count = -1\n TYPE(dict_str_i4_type) :: routine_names = dict_str_i4_type()\n TYPE(list_routinestat_type) :: routine_stats = list_routinestat_type()\n TYPE(list_callstackentry_type) :: callstack = list_callstackentry_type()\n TYPE(dict_i4tuple_callstat_type) :: callgraph = dict_i4tuple_callstat_type()\n INTEGER :: trace_max = -1\n INTEGER :: trace_unit = -1\n CHARACTER(len=13) :: trace_str = \"\"\n LOGICAL :: trace_all = .FALSE.\n END TYPE timer_env_type\n\n PUBLIC :: timer_env_type\n\nEND MODULE dbcsr_timings_types\n\n! **************************************************************************************************\n\n" }, { "path": "src/core/dbcsr_types.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_types\n !! DBCSR data types\n USE dbcsr_array_types, ONLY: array_i1d_obj\n USE dbcsr_btree, ONLY: btree_i8_cp2d, &\n btree_i8_dp2d, &\n btree_i8_sp2d, &\n btree_i8_zp2d\n USE dbcsr_data_types, ONLY: &\n dbcsr_data_area_type, dbcsr_data_obj, dbcsr_datatype_sizeof, dbcsr_memtype_default, &\n dbcsr_memtype_type, dbcsr_scalar_type, dbcsr_type_complex_4, dbcsr_type_complex_4_2d, &\n dbcsr_type_complex_8, dbcsr_type_complex_8_2d, dbcsr_type_complex_default, &\n dbcsr_type_int_4, dbcsr_type_real_4, dbcsr_type_real_4_2d, dbcsr_type_real_8, &\n dbcsr_type_real_8_2d, dbcsr_type_real_default\n USE dbcsr_kinds, ONLY: default_string_length, &\n int_8\n USE dbcsr_mpiwrap, ONLY: mp_comm_type, mp_comm_null\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_types'\n\n PUBLIC :: dbcsr_type, &\n dbcsr_scalar_type, &\n dbcsr_data_obj, &\n dbcsr_data_area_type, &\n dbcsr_work_type, &\n dbcsr_1d_array_type, &\n dbcsr_2d_array_type, &\n dbcsr_mp_obj, &\n dbcsr_distribution_obj, &\n dbcsr_imagedistribution_type, &\n dbcsr_imagedistribution_obj, &\n dbcsr_iterator, &\n dbcsr_mutable_obj, &\n dbcsr_type_p\n PUBLIC :: dbcsr_meta_size\n PUBLIC :: dbcsr_slot_size, &\n dbcsr_slot_row_p, &\n dbcsr_slot_col_i, &\n dbcsr_slot_blk_p, &\n dbcsr_slot_thr_c, &\n dbcsr_slot_coo_l, &\n dbcsr_slot_nblks, &\n dbcsr_slot_nze, &\n dbcsr_slot_dense, &\n dbcsr_slot_nblkrows_total, &\n dbcsr_slot_nblkcols_total, &\n dbcsr_slot_nfullrows_total, &\n dbcsr_slot_nfullcols_total, &\n dbcsr_slot_nblkrows_local, &\n dbcsr_slot_nblkcols_local, &\n dbcsr_slot_nfullrows_local, &\n dbcsr_slot_nfullcols_local, &\n dbcsr_slot_type, &\n dbcsr_slot_home_prow, &\n dbcsr_slot_home_pcol, &\n dbcsr_slot_home_rowi, &\n dbcsr_slot_home_coli, &\n dbcsr_slot_home_vprow, &\n dbcsr_slot_home_vpcol, &\n dbcsr_num_slots\n\n PUBLIC :: dbcsr_mpi_size_limits\n\n PUBLIC :: dbcsr_type_real_4, dbcsr_type_real_8, &\n dbcsr_type_complex_4, dbcsr_type_complex_8, &\n dbcsr_type_real_default, dbcsr_type_complex_default, &\n dbcsr_type_real_4_2d, dbcsr_type_real_8_2d, &\n dbcsr_type_complex_4_2d, dbcsr_type_complex_8_2d, &\n dbcsr_type_int_4\n PUBLIC :: dbcsr_datatype_sizeof\n PUBLIC :: dbcsr_memtype_type, &\n dbcsr_memtype_default\n\n PUBLIC :: dbcsr_type_invalid, dbcsr_type_no_symmetry, dbcsr_type_symmetric, &\n dbcsr_type_antisymmetric, dbcsr_type_hermitian, dbcsr_type_antihermitian\n PUBLIC :: dbcsr_no_transpose, dbcsr_transpose, dbcsr_conjugate_transpose\n PUBLIC :: dbcsr_repl_none, dbcsr_repl_row, dbcsr_repl_col, dbcsr_repl_full\n\n PUBLIC :: dbcsr_filter_frobenius\n PUBLIC :: dbcsr_norm_frobenius, dbcsr_norm_maxabsnorm, &\n dbcsr_norm_gershgorin, dbcsr_norm_column\n\n PUBLIC :: dbcsr_func_inverse, dbcsr_func_tanh, dbcsr_func_dtanh, &\n dbcsr_func_ddtanh, dbcsr_func_artanh, dbcsr_func_inverse_special, &\n dbcsr_func_spread_from_zero, &\n dbcsr_func_sin, &\n dbcsr_func_dsin, &\n dbcsr_func_ddsin, &\n dbcsr_func_asin, &\n dbcsr_func_truncate, &\n dbcsr_func_cos\n\n PUBLIC :: dbcsr_2d_array_obj\n\n PUBLIC :: dbcsr_mpi_statistics_type\n\n TYPE dbcsr_mp_type\n !! A processor (process) grid distribution\n\n INTEGER :: mynode = -1\n !! my processor/node (process) number\n INTEGER :: numnodes = -1\n !! number of processors/nodes (processes)\n INTEGER :: myprow = -1\n !! my process grid row\n INTEGER :: mypcol = -1\n !! my process grid column\n TYPE(mp_comm_type) :: mp_group = mp_comm_null\n !! message-passing group ID\n INTEGER, DIMENSION(:, :), POINTER, CONTIGUOUS :: pgrid => Null()\n !! processor grid\n INTEGER :: refcount = 0\n !! reference counter\n LOGICAL :: subgroups_defined = .FALSE.\n !! whether the subgroups are defined\n TYPE(mp_comm_type) :: prow_group = mp_comm_null\n !! per-process-row communicator\n TYPE(mp_comm_type) :: pcol_group = mp_comm_null\n !! pre-process-column communicator\n INTEGER :: source = -1\n END TYPE dbcsr_mp_type\n\n TYPE dbcsr_mp_obj\n !! Wrapper for the dbcsr_mp_type\n\n TYPE(dbcsr_mp_type), POINTER :: mp => Null()\n !! pointer to a dbcsr_mp_type instance\n END TYPE dbcsr_mp_obj\n\n TYPE dbcsr_distribution_type\n !! Matrix distribution on the processor grid\n\n TYPE(array_i1d_obj) :: row_dist_block = array_i1d_obj(), col_dist_block = array_i1d_obj()\n !! standard row distributions of matrix elements' rows into processor grid rows\n !! standard column distributions of matrix elements' columns into processor grid columns\n TYPE(array_i1d_obj) :: local_rows = array_i1d_obj(), local_cols = array_i1d_obj()\n !! list of rows local to the processor grid row\n !! list of columns local to the processor grid column\n INTEGER :: max_row_dist = -1, max_col_dist = -1\n TYPE(array_i1d_obj), DIMENSION(:), POINTER :: other_l_rows => Null()\n !! local rows for each process row\n TYPE(array_i1d_obj), DIMENSION(:), POINTER :: other_l_cols => Null()\n !! local columns for each process column\n LOGICAL :: has_other_l_rows = .FALSE.\n !! other_rows is defined\n LOGICAL :: has_other_l_cols = .FALSE.\n !! other_cols is defined\n TYPE(array_i1d_obj) :: global_row_map = array_i1d_obj()\n !! mapping from rows to sequence in local rows (global to local mapping)\n TYPE(array_i1d_obj) :: global_col_map = array_i1d_obj()\n !! mapping from rows to sequence in local columns (global to local mapping)\n LOGICAL :: has_global_row_map = .FALSE.\n !! whether other_row_map is defined\n LOGICAL :: has_global_col_map = .FALSE.\n !! whether other_col_map is defined\n TYPE(array_i1d_obj) :: row_map = array_i1d_obj()\n !! distribution map for rows\n TYPE(array_i1d_obj) :: col_map = array_i1d_obj()\n !! distribution map for columns\n LOGICAL :: has_thread_dist = .FALSE.\n TYPE(array_i1d_obj) :: thread_dist = array_i1d_obj()\n !! thread distribution (of the rows)\n INTEGER :: num_threads = -1\n !! number of threads in the environment\n TYPE(dbcsr_mp_obj) :: mp_env = dbcsr_mp_obj()\n !! multiprocessor environment on which the distribution is based\n INTEGER :: refcount = 0\n !! reference counter\n END TYPE dbcsr_distribution_type\n\n TYPE dbcsr_distribution_obj\n TYPE(dbcsr_distribution_type), POINTER :: d => Null()\n END TYPE dbcsr_distribution_obj\n\n TYPE dbcsr_imagedistribution_type\n !! Image distributions are used to map incompatible processor row and\n !! column distributions.\n !! Used to ease storage or transfer between two different-sizes\n !! sets. For example, if there are 4 real processor rows that are\n !! mapped to 8 \"virtual\" processor rows, then there are two images for\n !! every real processor row.\n\n TYPE(dbcsr_distribution_obj) :: main = dbcsr_distribution_obj()\n !! the main distribution\n TYPE(array_i1d_obj) :: row_image = array_i1d_obj()\n !! distribution of matrix elements' rows into image rows\n TYPE(array_i1d_obj) :: col_image = array_i1d_obj()\n !! distribution of matrix elements' columns into image columns\n INTEGER :: row_decimation = -1\n !! Number of imaged rows mapped to a real row\n INTEGER :: col_decimation = -1\n !! Number of imaged columns mapped to a real column\n INTEGER :: row_multiplicity = -1\n !! Number of real rows mapped to a virtual row\n INTEGER :: col_multiplicity = -1\n !! Number of real columns mapped to a virtual column\n TYPE(array_i1d_obj) :: vrow_dist = array_i1d_obj()\n TYPE(array_i1d_obj) :: vcol_dist = array_i1d_obj()\n TYPE(array_i1d_obj), DIMENSION(:), POINTER :: other_vl_rows => Null()\n TYPE(array_i1d_obj), DIMENSION(:), POINTER :: other_vl_cols => Null()\n TYPE(array_i1d_obj) :: global_vrow_map = array_i1d_obj()\n TYPE(array_i1d_obj) :: global_vcol_map = array_i1d_obj()\n LOGICAL :: has_other_vl_rows = .FALSE.\n LOGICAL :: has_other_vl_cols = .FALSE.\n LOGICAL :: has_global_vrow_map = .FALSE.\n LOGICAL :: has_global_vcol_map = .FALSE.\n INTEGER :: id = -1\n INTEGER :: refcount = 0\n !! count of references\n END TYPE dbcsr_imagedistribution_type\n\n TYPE dbcsr_imagedistribution_obj\n TYPE(dbcsr_imagedistribution_type), POINTER :: i => Null()\n END TYPE dbcsr_imagedistribution_obj\n\n ! Different method for dbcsr_filter\n INTEGER, PARAMETER :: dbcsr_filter_frobenius = 1\n\n ! Different norm for dbcsr_norm\n INTEGER, PARAMETER :: dbcsr_norm_frobenius = 1\n INTEGER, PARAMETER :: dbcsr_norm_maxabsnorm = 2\n INTEGER, PARAMETER :: dbcsr_norm_gershgorin = 3\n INTEGER, PARAMETER :: dbcsr_norm_column = 4\n\n TYPE dbcsr_block_buffer_type\n !! Buffer for blocks\n\n INTEGER :: refcount = 0\n !! Reference counter\n LOGICAL, DIMENSION(:), POINTER :: dirty => Null()\n !! Whether any buffers are dirty\n TYPE(dbcsr_data_obj), DIMENSION(:), POINTER :: buffers => Null()\n !! Buffers\n INTEGER, DIMENSION(:, :), POINTER :: rcb => Null()\n !! Row and column and offset and dimensions of data in the buffer\n TYPE(dbcsr_data_obj) :: main = dbcsr_data_obj()\n !! Main memory\n TYPE(dbcsr_data_obj), DIMENSION(:), POINTER :: backing => Null()\n !! Backing memory (in lieu of main memory)\n INTEGER :: data_type = -1\n !! Data type used for the buffers\n END TYPE dbcsr_block_buffer_type\n\n TYPE dbcsr_block_buffer_obj\n !! Object for the buffer of blocks\n\n TYPE(dbcsr_block_buffer_type), POINTER :: b => Null()\n !! Block buffer\n END TYPE dbcsr_block_buffer_obj\n\n TYPE dbcsr_iterator\n !! An iterator over a DBCSR matrix.\n !! @note\n !! This is briefly changed to allow being included in the dbcsr_type type\n !! What is written here is what the structure should be and not what it\n !! is.\n !! @endnote\n\n TYPE(dbcsr_type), POINTER :: matrix => Null()\n !! the matrix\n TYPE(dbcsr_block_buffer_obj) :: buffer_2d = dbcsr_block_buffer_obj()\n !! Buffers for repointing 2d pointers (1 per thread)\n INTEGER :: pos = -1\n !! Current position (per thread)\n INTEGER :: row = -1\n !! Current row (per thread)\n INTEGER :: row_size = -1\n !! Size of current row\n INTEGER :: row_offset = -1\n INTEGER, DIMENSION(:), POINTER :: rbs => Null()\n !! Pointer to row size array\n INTEGER, DIMENSION(:), POINTER :: cbs => Null()\n !! Pointer to column size array\n INTEGER, DIMENSION(:), POINTER :: roff => Null()\n !! Pointer to row offset array\n INTEGER, DIMENSION(:), POINTER :: coff => Null()\n !! Pointer to column offset array\n LOGICAL :: local_indexing = .FALSE.\n !! The matrix has local indexing\n LOGICAL :: contiguous_pointers = .FALSE.\n !! Whether pointers to data should be contiguous in memory.\n LOGICAL :: transpose = .FALSE.\n LOGICAL :: read_only = .FALSE.\n LOGICAL :: shared = .FALSE.\n !! Iterators share matrix\n LOGICAL :: dynamic = .FALSE.\n !! Ignores the thread distribution (FCFS by block)\n LOGICAL :: dynamic_byrows = .FALSE.\n !! Ignores the thread distribution (FCFS by row)\n INTEGER, POINTER :: common_pos => Null()\n !! Position when in mixed mode (row or block depending in dynamic_byrows\n\n ! Copies from the matrix.\n INTEGER :: nblks = -1\n INTEGER :: nblkrows_total = -1\n INTEGER, DIMENSION(:), POINTER :: row_p => Null()\n INTEGER, DIMENSION(:), POINTER :: col_i => Null()\n INTEGER, DIMENSION(:), POINTER :: blk_p => Null()\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: tdist => Null()\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: local_rows => Null()\n !! Mapping of local rows to global rows (if local indexing is enabled)\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: global_rows => Null()\n !! Mapping of global rows to local rows (if local indexing is enabled)\n TYPE(dbcsr_data_obj) :: data_area = dbcsr_data_obj()\n END TYPE dbcsr_iterator\n\n TYPE dbcsr_mutable_type\n !! Data area with random access reads, insertions, and deletions.\n\n TYPE(btree_i8_sp2d) :: btree_s = btree_i8_sp2d()\n !! Data types for the various types\n TYPE(btree_i8_dp2d) :: btree_d = btree_i8_dp2d()\n !! Data types for the various types\n TYPE(btree_i8_cp2d) :: btree_c = btree_i8_cp2d()\n !! Data types for the various types\n TYPE(btree_i8_zp2d) :: btree_z = btree_i8_zp2d()\n !! Data types for the various types\n INTEGER :: refcount = 0\n !! Reference counter\n INTEGER :: data_type = -1\n !! The data type that is stored\n END TYPE dbcsr_mutable_type\n\n TYPE dbcsr_mutable_obj\n !! Object for the mutable data type\n TYPE(dbcsr_mutable_type), POINTER :: m => Null()\n END TYPE dbcsr_mutable_obj\n\n TYPE dbcsr_work_type\n !! Used for assembling a real matrix.\n\n TYPE(dbcsr_data_obj) :: data_area = dbcsr_data_obj()\n !! holds actual values.\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: row_i => Null()\n !! the row index of all of the blocks.\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_i => Null()\n !! the column index of all of the blocks.\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: blk_p => Null()\n !! the pointer into the data array of this block.\n INTEGER :: lastblk = -1\n !! index of the last block entered into the row_i, col_i, and blk_p data structures\n INTEGER :: datasize = -1\n !! the actual size of data present in the data element\n INTEGER :: datasize_after_filtering = -1\n !TYPE(btree_i8_dp2d) :: tree = btree_i8_dp2d()\n !! tree used to index data blocks (alternative to the row_i, col_i, and blk_p indices when index is scattered).\n TYPE(dbcsr_mutable_obj) :: mutable = dbcsr_mutable_obj()\n !! the final bcsr matrix\n END TYPE dbcsr_work_type\n\n TYPE dbcsr_type\n !! The BCSR sparse matrix type.\n !!\n !! arrays data and index hold the bulk of the data.\n !! @note\n !! the pointers row_p, col_i, blk_p point into the index array.\n !! @endnote\n\n INTEGER :: serial_number = -1\n !! a unique number of each created matrix\n LOGICAL :: valid = .FALSE.\n !! whether the matrix is valid (consistent)\n CHARACTER(LEN=default_string_length) :: name = \"\"\n !! name of the matrix\n TYPE(dbcsr_data_obj) :: data_area = dbcsr_data_obj()\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: index => Null()\n !! agglomeration of the indices and offsets of pointers into this array.\n INTEGER, DIMENSION(:), POINTER :: row_p => Null()\n !! points into the col_i and blk_p arrays, each element (1:nblkrows_total+1) points to the previous row's last element. So\n !! each rows has elements row_p(row)+1:row_p(row+1).\n INTEGER, DIMENSION(:), POINTER :: col_i => Null()\n !! the global blocked column number of this block.\n INTEGER, DIMENSION(:), POINTER :: blk_p => Null()\n !! the pointer into the data array of this block.\n INTEGER, DIMENSION(:), POINTER :: thr_c => Null()\n !! elements/thread for list index\n INTEGER, DIMENSION(:), POINTER :: coo_l => Null()\n !! coordinate list (used for direct indexing)\n TYPE(array_i1d_obj) :: row_blk_size = array_i1d_obj()\n !! sizes (rows in a block) of blocked rows\n TYPE(array_i1d_obj) :: col_blk_size = array_i1d_obj()\n !! sizes (columns in a block) of blocked columns\n TYPE(array_i1d_obj) :: row_blk_offset = array_i1d_obj()\n !! row offset (size = nrow+1)\n TYPE(array_i1d_obj) :: col_blk_offset = array_i1d_obj()\n !! col offset (size = ncol+1)\n TYPE(array_i1d_obj) :: local_rows = array_i1d_obj()\n !! Map of global to local rows when local indexing is enabled\n TYPE(array_i1d_obj) :: global_rows = array_i1d_obj()\n TYPE(array_i1d_obj) :: local_cols = array_i1d_obj()\n TYPE(array_i1d_obj) :: global_cols = array_i1d_obj()\n LOGICAL :: has_local_rows = .FALSE.\n LOGICAL :: has_global_rows = .FALSE.\n LOGICAL :: has_local_cols = .FALSE.\n LOGICAL :: has_global_cols = .FALSE.\n INTEGER :: max_rbs = -1\n !! maximal row sizes\n INTEGER :: max_cbs = -1\n !! maximal column sizes\n INTEGER :: sparsity_id = -1\n INTEGER :: id_nr = -1 ! use in sm_pool\n INTEGER :: nblks = -1\n !! number of blocks locally present\n INTEGER :: nze = -1\n !! number of non-zero elements locally present\n INTEGER :: nblkrows_total = -1\n !! size of entire matrix in blocked rows\n INTEGER :: nblkcols_total = -1\n !! size of entire matrix in blocked columns\n INTEGER :: nfullrows_total = -1\n !! size of entire matrix in full rows\n INTEGER :: nfullcols_total = -1\n !! size of entire matrix in full columns\n INTEGER :: nblkrows_local = -1\n !! size of local part of matrix in blocked rows\n INTEGER :: nblkcols_local = -1\n !! size of local part of matrix in blocked columns\n INTEGER :: nfullrows_local = -1\n !! size of local part of matrix in full rows\n INTEGER :: nfullcols_local = -1\n !! size of local part of matrix in full columns\n INTEGER :: data_type = -1\n !! 'r'/'R' for single/double precision real or 'c'/'C' for single/double precision complex data\n CHARACTER :: replication_type = \"\"\n !! multi-process replication used in the matrix\n LOGICAL :: symmetry = .FALSE.\n !! matrix has symmetry\n LOGICAL :: negate_real = .FALSE.\n !! symmetry is realized by negating the real part\n LOGICAL :: negate_imaginary = .FALSE.\n !! symmetry is realized by negating complex part (i.e., antisymmetric)\n LOGICAL :: bcsc = .FALSE.\n !! BCS Column instead of BCS Row\n LOGICAL :: local_indexing = .FALSE.\n !! Local indexing of rows instead of global indexing.\n LOGICAL :: list_indexing = .FALSE.\n TYPE(dbcsr_memtype_type) :: data_memory_type = dbcsr_memtype_type()\n !! memory type for data\n TYPE(dbcsr_memtype_type) :: index_memory_type = dbcsr_memtype_type()\n !! memory type for the index\n TYPE(dbcsr_block_buffer_obj) :: buffers = dbcsr_block_buffer_obj()\n !! Block buffers\n TYPE(dbcsr_work_type), DIMENSION(:), POINTER :: wms => Null()\n TYPE(dbcsr_distribution_obj) :: dist = dbcsr_distribution_obj()\n !! distribution used by this matrix\n INTEGER :: refcount = 0\n !! reference count\n LOGICAL :: work_mutable = .FALSE.\n !! uses the mutable data for working and not the append-only data\n END TYPE dbcsr_type\n\n CHARACTER, PARAMETER :: dbcsr_type_invalid = '0'\n CHARACTER, PARAMETER :: dbcsr_type_no_symmetry = 'N'\n CHARACTER, PARAMETER :: dbcsr_type_symmetric = 'S'\n CHARACTER, PARAMETER :: dbcsr_type_antisymmetric = 'A'\n CHARACTER, PARAMETER :: dbcsr_type_hermitian = 'H'\n CHARACTER, PARAMETER :: dbcsr_type_antihermitian = 'K'\n\n !\n ! multiply transpositions\n CHARACTER, PARAMETER :: dbcsr_no_transpose = 'N'\n CHARACTER, PARAMETER :: dbcsr_transpose = 'T'\n CHARACTER, PARAMETER :: dbcsr_conjugate_transpose = 'C'\n\n CHARACTER, PARAMETER :: dbcsr_repl_none = 'N'\n CHARACTER, PARAMETER :: dbcsr_repl_row = 'R'\n CHARACTER, PARAMETER :: dbcsr_repl_col = 'C'\n CHARACTER, PARAMETER :: dbcsr_repl_full = 'A'\n\n !\n ! Function types\n INTEGER, PARAMETER :: dbcsr_func_inverse = 0\n INTEGER, PARAMETER :: dbcsr_func_tanh = 1\n INTEGER, PARAMETER :: dbcsr_func_dtanh = 2\n INTEGER, PARAMETER :: dbcsr_func_ddtanh = 3\n INTEGER, PARAMETER :: dbcsr_func_artanh = 4\n INTEGER, PARAMETER :: dbcsr_func_inverse_special = 5\n INTEGER, PARAMETER :: dbcsr_func_spread_from_zero = 6\n INTEGER, PARAMETER :: dbcsr_func_sin = 7\n INTEGER, PARAMETER :: dbcsr_func_dsin = 8\n INTEGER, PARAMETER :: dbcsr_func_ddsin = 9\n INTEGER, PARAMETER :: dbcsr_func_asin = 10\n INTEGER, PARAMETER :: dbcsr_func_cos = 11\n INTEGER, PARAMETER :: dbcsr_func_truncate = 12\n\n ! These specify which array index in the index array is the start of the\n ! specified variable. For example, row_p => index(dbcsr_bcsr_slot_row_p)\n INTEGER, PARAMETER :: dbcsr_slot_size = 1\n !! Size of the assigned values in the index array.\n INTEGER, PARAMETER :: dbcsr_slot_nblks = 2\n INTEGER, PARAMETER :: dbcsr_slot_nze = 3\n INTEGER, PARAMETER :: dbcsr_slot_dense = 4\n INTEGER, PARAMETER :: dbcsr_slot_nblkrows_total = 5\n INTEGER, PARAMETER :: dbcsr_slot_nblkcols_total = 6\n INTEGER, PARAMETER :: dbcsr_slot_nfullrows_total = 7\n INTEGER, PARAMETER :: dbcsr_slot_nfullcols_total = 8\n INTEGER, PARAMETER :: dbcsr_slot_nblkrows_local = 9\n INTEGER, PARAMETER :: dbcsr_slot_nblkcols_local = 10\n INTEGER, PARAMETER :: dbcsr_slot_nfullrows_local = 11\n INTEGER, PARAMETER :: dbcsr_slot_nfullcols_local = 12\n INTEGER, PARAMETER :: dbcsr_slot_type = 13\n INTEGER, PARAMETER :: dbcsr_slot_home_prow = 14\n INTEGER, PARAMETER :: dbcsr_slot_home_pcol = 15\n INTEGER, PARAMETER :: dbcsr_slot_home_rowi = 16\n INTEGER, PARAMETER :: dbcsr_slot_home_coli = 17\n INTEGER, PARAMETER :: dbcsr_slot_home_vprow = 18\n INTEGER, PARAMETER :: dbcsr_slot_home_vpcol = 19\n INTEGER, PARAMETER :: dbcsr_meta_size = 19\n !! The number of meta fields. Its value should be the index of the last slot listed above.\n INTEGER, PARAMETER :: dbcsr_slot_row_p = dbcsr_meta_size + 2\n INTEGER, PARAMETER :: dbcsr_slot_col_i = dbcsr_meta_size + 4\n INTEGER, PARAMETER :: dbcsr_slot_blk_p = dbcsr_meta_size + 6\n INTEGER, PARAMETER :: dbcsr_slot_thr_c = dbcsr_meta_size + 8\n INTEGER, PARAMETER :: dbcsr_slot_coo_l = dbcsr_meta_size + 10\n INTEGER, PARAMETER :: dbcsr_num_slots = dbcsr_meta_size + 11 ! previous + 1\n\n INTEGER(KIND=int_8), DIMENSION(6), PARAMETER :: dbcsr_mpi_size_limits = &\n (/2**7, 2**13, 2**15, 2**17, 2**22, 2**24/)\n !! MPI message size limits (in bytes): 128, 8192, 32KB, 128KB, 4MB, 16MB\n\n TYPE dbcsr_work_type_p\n !! Pointer to a work matrix.\n\n TYPE(dbcsr_work_type), POINTER :: w => Null()\n !! the work matrix\n END TYPE dbcsr_work_type_p\n\n TYPE dbcsr_type_p\n !! Pointer to a object.\n\n TYPE(dbcsr_type), POINTER :: matrix => Null()\n !! the dbcsr_typeect\n END TYPE dbcsr_type_p\n\n TYPE dbcsr_1d_array_obj\n !! A 1-D array of DBCSR matrices\n\n TYPE(dbcsr_type_p), DIMENSION(:), POINTER :: mats => Null()\n !! the array of matrices\n END TYPE dbcsr_1d_array_obj\n\n TYPE dbcsr_2d_array_obj\n !! A 2-D array of DBCSR matrices\n\n TYPE(dbcsr_type_p), DIMENSION(:, :), POINTER :: mats => Null()\n !! the array of matrices\n END TYPE dbcsr_2d_array_obj\n\n TYPE dbcsr_1d_array_type\n !! An array of DBCSR matrices\n\n TYPE(dbcsr_type), DIMENSION(:), POINTER :: mats => Null()\n !! the matrices\n TYPE(dbcsr_imagedistribution_obj) :: image_dist = dbcsr_imagedistribution_obj()\n !! image distribution\n END TYPE dbcsr_1d_array_type\n\n TYPE dbcsr_2d_array_type\n !! A 2-d array of DBCSR matrices\n\n TYPE(dbcsr_type), DIMENSION(:, :), POINTER :: mats => Null()\n !! the matrices\n TYPE(dbcsr_imagedistribution_obj) :: image_dist = dbcsr_imagedistribution_obj()\n !! image distribution\n END TYPE dbcsr_2d_array_type\n\n TYPE dbcsr_mpi_statistics_type\n !! DBCSR MPI statistics\n INTEGER :: last_mpi_ranks_used = -1\n INTEGER :: nimages = -1\n INTEGER :: nexchanged = -1\n INTEGER :: nfiltered = -1\n ! rank 1: 1=right, 2=left\n ! rank 2: 1=total, 2=min, 3=max\n REAL, DIMENSION(2, 3) :: data_size = 0.0\n ! message size breakdown\n INTEGER(KIND=int_8), DIMENSION(SIZE(dbcsr_mpi_size_limits) + 1, 2, 2) :: data_size_breakdown = -1\n END TYPE dbcsr_mpi_statistics_type\n\nEND MODULE dbcsr_types\n" }, { "path": "src/data/PACKAGE", "content": "{\n\"description\": \"DBCSR data handling\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../acc\", \"../mpi\", \"../base\", \"../core\", \"../dist\", \"../block\"],\n}\n" }, { "path": "src/data/dbcsr.fypp", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n\n#! This file contains ALL fypp definitions for DBCSR\n\n#:mute\n#:set n_inst = [0, 1, 2, 3]\n\n#:set nametype1 = ['d','s','z','c']\n#:set typesize1 = ['8','4','16','8']\n#:set base1 = ['r', 'r', 'c', 'c']\n#:set prec1 = ['dp','sp','dp','sp']\n#:set bits1 = ['64','32','64','32']\n#:set kind1 = ['real_8', 'real_4', 'real_8', 'real_4']\n#:set type1 = ['REAL(kind=real_8)', 'REAL(kind=real_4)', 'COMPLEX(kind=real_8)', 'COMPLEX(kind=real_4)']\n#:set dkind1 = ['dbcsr_type_real_8', 'dbcsr_type_real_4', 'dbcsr_type_complex_8', 'dbcsr_type_complex_4']\n\n#:set gemmname1 = ['DGEMM', 'SGEMM', 'ZGEMM', 'CGEMM']\n#:set normname1 = ['(DDOT', '(SDOT', '(DZNRM2', '(SCNRM2']\n\n#:set one1 = ['1.0_real_8', '1.0_real_4', 'CMPLX(1.0, 0.0, real_8)', 'CMPLX(1.0, 0.0, real_4)']\n#:set zero1 = ['0.0_real_8', '0.0_real_4', 'CMPLX(0.0, 0.0, real_8)', 'CMPLX(0.0, 0.0, real_4)']\n\n#:set kind2 = ['real_8','real_8','real_8','real_8']\n\n#:set xsmm_supported = ['1', '1', '0', '0']\n\n#:set nametype_int1 = ['i', 'l']\n#:set type_int1 = ['INTEGER(kind=int_4)', 'INTEGER(kind=int_8)']\n#:set zero_int1 = ['0', '0']\n\n#:set nametype_all1 = nametype1 + nametype_int1\n#:set type_all1 = type1 + type_int1\n#:set zero_all1 = zero1 + zero_int1\n\n#:set inst_params_float = list(zip(n_inst, nametype1, base1, prec1, kind1, type1, dkind1, normname1))\n#:set inst_params_all = list(zip(nametype_all1, type_all1, zero_all1))\n\n#! Definitions for DBCSR_C\n#:set extype1 = ['double', 'float', 'double _Complex', 'float _Complex']\n#:set ctype1 = ['REAL(kind=c_double)', 'REAL(kind=c_float)', 'COMPLEX(kind=c_double_complex)', 'COMPLEX(kind=c_float_complex)']\n#:set c_inst_params_float = list(zip(n_inst, nametype1, base1, prec1, kind1, type1, dkind1, normname1, ctype1))\n#:set c_exparams = list(zip(n_inst, nametype1, base1, prec1, ctype1, extype1))\n\n#! Handling optional arguments for non-interoperable types\n\n#:def add_num(num,numout)\n#! binary number counter e.g. [1,0,0,0] -> [0,1,0,0]\n#:set carry = 1\n#:for i in range(0,len(num))\n#:set outi = 0\n#:if carry == 1\n #:if num[i] == 0\n #:set outi = 1\n #:set carry = 0\n #:else\n #:set outi = 0\n #:set carry = 1\n #:endif\n#:else\n #:set outi = num[i]\n#:endif\n#:mute\n$: numout.append(outi)\n#:endmute\n#:endfor\n#:enddef\n\n#:def init(list,n)\n#:mute\n #! fill a list with n zeros\n #:for i in range(n)\n $: list.append(0)\n #:endfor\n#:endmute\n#:enddef\n\n#:def gen_permlist(permlist,n)\n#:mute\n #! generates a list of permutations from n entries\n #! example n = 2 -> [[0,0],[0,1],[1,0],[1,1]] where 0/1 means present/not present\n #:set idx = []\n #:set newidx = []\n ${init(idx,n)}$\n\n #:set imax = pow(2,n)\n #:for i in range(0,imax)\n $: permlist.append(idx)\n ${add_num(idx,newidx)}$\n #:set idx = newidx\n #:set newidx = []\n #:endfor\n#:endmute\n#:enddef\n\n#:def gen_vargroups(varlist,vargroups)\n#:mute\n #! generates permuted groups of variables from a variable list\n #! optional variables that appear together may be grouped\n #! example: varlist = [[var1], [var2,var3]]\n #! this gives: vargroups = [ [[var1],[var2,var3]], [[var1]], [[var2,var3]], []]\n #:set permlist = []\n ${gen_permlist(permlist,len(varlist))}$\n #:for p in permlist\n #:set group = []\n #:for i in range(len(varlist))\n #:if p[i] == 0\n $: group.append(varlist[i])\n #:endif\n #:endfor\n $: vargroups.append(group)\n #:endfor\n#:endmute\n#:enddef\n\n#:def flatten(group,flatgroup)\n#:mute\n#! flattens an array by one level:\n#! [[var1],[var2,var3]] -> [var1,var2,var3]\n#:for sub in group\n #:for x in sub\n $: flatgroup.append(x)\n #:endfor\n#:endfor\n#:endmute\n#:enddef\n\n#:def print_group(group, prefix=\", \")\n#! for a group [[var1],[var2,var3]]\n#! prints \"var1 = var1, var2 = var2, var3 = var3\"\n#:set flatgroup = [item for sublist in group for item in sublist]\n$: prefix * (bool(len(group))) + \", \".join([str(i) + ' = ' + str(i) for i in flatgroup])\n#:enddef\n\n#:def print_groupif(vargroups,varlist,i,check='PRESENT',prefix='')\n#! for a group [[var1]] and a varlist [[var1]],[var2,var3]]\n#! prints \"(ELSE) IF (PRESENT(var1) .AND. .NOT. PRESENT(var2) .AND. .NOT. PRESENT(var3)) THEN\"\n#! to be used in a loop\n#:set group = vargroups[i]\n#:set diff = [item for item in varlist if item not in group]\n#:set stat = \"ELSE IF\"\n#:if i == 0\n#:set stat = \"IF\"\n#:elif i == len(vargroups) - 1\n#:set stat = \"ELSE\"\n#:endif\n#:if stat != \"ELSE\"\n#:set flatgroup = []\n#:set flatdiff = []\n#:mute\n${flatten(group,flatgroup)}$\n${flatten(diff,flatdiff)}$\n#:endmute\n$: stat + \"(\" + \" .AND. \".join([check + \"(\" + prefix + str(i) + \")\" for i in flatgroup]) &\n + \" .AND. \" * (bool(len(diff)) * bool(len(diff) - len(varlist))) &\n + \" .AND. \".join([\".NOT. \" + check + \"(\" + prefix + str(i) + \")\" for i in flatdiff]) + \") THEN \"\n#:else\nELSE\n#:endif\n#:enddef\n\n#:endmute\n" }, { "path": "src/data/dbcsr_data_methods.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_data_methods\n !! DBCSR data methods\n USE dbcsr_acc_devmem, ONLY: acc_devmem_allocate_bytes, &\n acc_devmem_allocated, &\n acc_devmem_dev2host, &\n acc_devmem_ensure_size_bytes, &\n acc_devmem_host2dev, &\n acc_devmem_setzero_bytes, &\n acc_devmem_size_in_bytes\n USE dbcsr_acc_event, ONLY: acc_event_record\n USE dbcsr_data_methods_low, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_exists, dbcsr_data_get_memory_type, &\n dbcsr_data_get_size, dbcsr_data_get_size_referenced, dbcsr_data_get_sizes, &\n dbcsr_data_get_type, dbcsr_data_hold, dbcsr_data_init, dbcsr_data_set_pointer, &\n dbcsr_data_set_size_referenced, dbcsr_data_valid, dbcsr_data_zero, dbcsr_get_data, &\n dbcsr_get_data_p, dbcsr_get_data_p_c, dbcsr_get_data_p_d, dbcsr_get_data_p_s, &\n dbcsr_get_data_p_z, dbcsr_scalar, dbcsr_scalar_are_equal, dbcsr_scalar_fill_all, &\n dbcsr_scalar_get_type, dbcsr_scalar_get_value, dbcsr_scalar_negative, dbcsr_scalar_one, &\n dbcsr_scalar_set_type, dbcsr_scalar_zero, dbcsr_type_1d_to_2d, dbcsr_type_2d_to_1d, &\n dbcsr_type_is_2d, internal_data_allocate, internal_data_deallocate, dbcsr_scalar_multiply\n USE dbcsr_data_types, ONLY: &\n dbcsr_data_obj, dbcsr_datatype_sizeof, dbcsr_memtype_default, dbcsr_memtype_type, &\n dbcsr_type_complex_4, dbcsr_type_complex_8, dbcsr_type_int_4, dbcsr_type_int_8, &\n dbcsr_type_real_4, dbcsr_type_real_8\n USE dbcsr_kinds, ONLY: dp, &\n int_4, &\n int_8, &\n real_4, &\n real_8\n USE dbcsr_mem_methods, ONLY: dbcsr_mempool_add, &\n dbcsr_mempool_get\n USE dbcsr_ptr_util, ONLY: ensure_array_size\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_data_methods'\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n INTEGER, SAVE :: id = 0\n\n PUBLIC :: dbcsr_type_2d_to_1d, dbcsr_type_1d_to_2d\n PUBLIC :: dbcsr_scalar, dbcsr_scalar_one, dbcsr_scalar_zero, &\n dbcsr_scalar_are_equal, dbcsr_scalar_negative, &\n dbcsr_scalar_get_type, dbcsr_scalar_set_type, &\n dbcsr_scalar_fill_all, dbcsr_scalar_get_value, &\n dbcsr_data_valid, dbcsr_data_exists, dbcsr_scalar_multiply\n PUBLIC :: dbcsr_data_init, dbcsr_data_new, dbcsr_data_hold, &\n dbcsr_data_release, dbcsr_data_get_size, dbcsr_data_get_type\n PUBLIC :: dbcsr_get_data, &\n dbcsr_data_set_pointer, &\n dbcsr_data_clear_pointer, &\n dbcsr_data_ensure_size, &\n dbcsr_data_get_sizes, &\n dbcsr_data_get_memory_type\n PUBLIC :: dbcsr_data_set_size_referenced, dbcsr_data_get_size_referenced\n PUBLIC :: dbcsr_get_data_p, dbcsr_get_data_p_s, dbcsr_get_data_p_c, &\n dbcsr_get_data_p_d, dbcsr_get_data_p_z\n PUBLIC :: dbcsr_data_host2dev, dbcsr_data_dev2host\n\nCONTAINS\n\n SUBROUTINE dbcsr_data_host2dev(area)\n !! Transfers data from host- to device-buffer, asynchronously.\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER :: c_sp\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER :: c_dp\n INTEGER(KIND=int_4), DIMENSION(:), POINTER :: i4\n INTEGER(KIND=int_8), DIMENSION(:), POINTER :: i8\n REAL(KIND=real_4), DIMENSION(:), POINTER :: r_sp\n REAL(KIND=real_8), DIMENSION(:), POINTER :: r_dp\n\n IF (.NOT. acc_devmem_allocated(area%d%acc_devmem)) RETURN !nothing to do\n IF (area%d%ref_size == 0) RETURN !nothing to do\n\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_int_4)\n i4 => area%d%i4(:area%d%ref_size)\n CALL acc_devmem_host2dev(area%d%acc_devmem, hostmem=i4, stream=area%d%memory_type%acc_stream)\n CASE (dbcsr_type_int_8)\n i8 => area%d%i8(:area%d%ref_size)\n CALL acc_devmem_host2dev(area%d%acc_devmem, hostmem=i8, stream=area%d%memory_type%acc_stream)\n CASE (dbcsr_type_real_4)\n r_sp => area%d%r_sp(:area%d%ref_size)\n CALL acc_devmem_host2dev(area%d%acc_devmem, hostmem=r_sp, stream=area%d%memory_type%acc_stream)\n CASE (dbcsr_type_real_8)\n r_dp => area%d%r_dp(:area%d%ref_size)\n CALL acc_devmem_host2dev(area%d%acc_devmem, hostmem=r_dp, stream=area%d%memory_type%acc_stream)\n CASE (dbcsr_type_complex_4)\n c_sp => area%d%c_sp(:area%d%ref_size)\n CALL acc_devmem_host2dev(area%d%acc_devmem, hostmem=c_sp, stream=area%d%memory_type%acc_stream)\n CASE (dbcsr_type_complex_8)\n c_dp => area%d%c_dp(:area%d%ref_size)\n CALL acc_devmem_host2dev(area%d%acc_devmem, hostmem=c_dp, stream=area%d%memory_type%acc_stream)\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n\n CALL acc_event_record(area%d%acc_ready, area%d%memory_type%acc_stream)\n END SUBROUTINE dbcsr_data_host2dev\n\n SUBROUTINE dbcsr_data_dev2host(area)\n !! Transfers data from device- to host-buffer, asynchronously.\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER :: c_sp\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER :: c_dp\n REAL(KIND=real_4), DIMENSION(:), POINTER :: r_sp\n REAL(KIND=real_8), DIMENSION(:), POINTER :: r_dp\n\n IF (area%d%ref_size == 0) RETURN !nothing to do\n\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_real_4)\n r_sp => area%d%r_sp(:area%d%ref_size)\n CALL acc_devmem_dev2host(area%d%acc_devmem, hostmem=r_sp, stream=area%d%memory_type%acc_stream)\n CASE (dbcsr_type_real_8)\n r_dp => area%d%r_dp(:area%d%ref_size)\n CALL acc_devmem_dev2host(area%d%acc_devmem, hostmem=r_dp, stream=area%d%memory_type%acc_stream)\n CASE (dbcsr_type_complex_4)\n c_sp => area%d%c_sp(:area%d%ref_size)\n CALL acc_devmem_dev2host(area%d%acc_devmem, hostmem=c_sp, stream=area%d%memory_type%acc_stream)\n CASE (dbcsr_type_complex_8)\n c_dp => area%d%c_dp(:area%d%ref_size)\n CALL acc_devmem_dev2host(area%d%acc_devmem, hostmem=c_dp, stream=area%d%memory_type%acc_stream)\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n\n END SUBROUTINE dbcsr_data_dev2host\n\n SUBROUTINE dbcsr_data_new(area, data_type, data_size, data_size2, &\n memory_type)\n !! Initializes a data area and all the actual data pointers\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! data area\n INTEGER, INTENT(IN) :: data_type\n !! select data type to use\n INTEGER, INTENT(IN), OPTIONAL :: data_size, data_size2\n !! allocate this much data\n !! second dimension data size\n TYPE(dbcsr_memtype_type), INTENT(IN), OPTIONAL :: memory_type\n !! type of memory to use\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_new'\n INTEGER :: d, handle, total_size_oversized, &\n total_size_requested\n INTEGER, DIMENSION(2) :: sizes_oversized, sizes_requested\n TYPE(dbcsr_memtype_type) :: my_memory_type\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n IF (ASSOCIATED(area%d)) &\n DBCSR_ABORT(\"area already associated\")\n\n my_memory_type = dbcsr_memtype_default\n IF (PRESENT(memory_type)) my_memory_type = memory_type\n\n sizes_requested(:) = 0; d = 1\n IF (PRESENT(data_size)) sizes_requested(1) = data_size\n\n IF (dbcsr_type_is_2d(data_type)) THEN\n d = 2\n IF (PRESENT(data_size2)) sizes_requested(2) = data_size2\n\n IF (PRESENT(data_size) .NEQV. PRESENT(data_size2)) &\n DBCSR_ABORT(\"Must specify 2 sizes for 2-D data\")\n END IF\n\n sizes_oversized = INT(sizes_requested*my_memory_type%oversize_factor)\n total_size_requested = PRODUCT(sizes_requested(1:d))\n total_size_oversized = PRODUCT(sizes_oversized(1:d))\n\n IF (ANY(sizes_requested < 0) .OR. ANY(sizes_oversized < 0)) &\n DBCSR_ABORT(\"Negative data size requested, integer overflow?\")\n\n IF (total_size_requested > 1 .AND. ASSOCIATED(my_memory_type%pool)) THEN\n area = dbcsr_mempool_get(my_memory_type, data_type, total_size_requested)\n END IF\n\n IF (.NOT. ASSOCIATED(area%d)) THEN\n ALLOCATE (area%d)\n!$OMP CRITICAL (crit_area_id)\n id = id + 1\n area%d%id = id\n!$OMP END CRITICAL (crit_area_id)\n area%d%refcount = 1\n area%d%memory_type = my_memory_type\n area%d%data_type = data_type\n IF (PRESENT(data_size)) THEN\n CALL internal_data_allocate(area%d, sizes_oversized(1:d))\n END IF\n END IF\n\n area%d%ref_size = total_size_requested\n\n CALL timestop(handle)\n END SUBROUTINE dbcsr_data_new\n\n SUBROUTINE dbcsr_data_ensure_size(area, data_size, nocopy, zero_pad, factor, &\n area_resize)\n !! Ensures a minimum size of a previously-setup data area.\n !! The data area must have been previously setup with dbcsr_data_new.\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! data area\n INTEGER, INTENT(IN) :: data_size\n !! allocate this much data\n LOGICAL, INTENT(IN), OPTIONAL :: nocopy, zero_pad\n !! do not keep potentially existing data, default is to keep it\n !! pad new data with zeros\n REAL(KIND=dp), INTENT(IN), OPTIONAL :: factor\n !! increase size by this factor\n TYPE(dbcsr_data_obj), INTENT(INOUT), OPTIONAL :: area_resize\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_ensure_size'\n\n INTEGER :: current_size, handle, wanted_size\n LOGICAL :: nocp, pad\n TYPE(dbcsr_data_obj) :: area_tmp\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, handle)\n IF (.NOT. ASSOCIATED(area%d)) &\n DBCSR_ABORT(\"Data area must be setup.\")\n current_size = dbcsr_data_get_size(area)\n\n IF (PRESENT(area_resize)) THEN\n ! Sanity check\n IF (.NOT. dbcsr_data_valid(area_resize)) &\n DBCSR_ABORT(\"Previous data area must be setup.\")\n IF (dbcsr_data_exists(area_resize)) &\n DBCSR_ABORT(\"Previous data area must be not associated.\")\n IF (area%d%memory_type%acc_devalloc) &\n DBCSR_ABORT(\"Cannot use dev memory with previous data area.\")\n IF (ASSOCIATED(area%d%memory_type%pool)) &\n DBCSR_ABORT(\"Cannot use memory pool with previous data area.\")\n END IF\n\n wanted_size = data_size\n#if defined(__HAS_smm_dnn) && defined(__HAS_smm_vec)\n ! allocate some more as padding for libsmm kernels which read over the end.\n IF (data_size .GT. 0) THEN\n wanted_size = data_size + 10\n END IF\n#endif\n\n !IF(area%d%memory_type%acc_devalloc) THEN\n ! IF(current_size==acc_devmem_size(area%d%acc_devmem)) &\n ! WRITE (*,*) \"dbcsr_data_ensure_size: Host and device buffer differ in size.\"\n !END IF\n !IF(current_size/=acc_devmem_size(area%d%acc_devmem)) &\n ! DBCSR_ABORT(\"Host and device buffer differ in size.\")\n\n CALL dbcsr_data_set_size_referenced(area, data_size)\n IF (current_size .GT. 1 .AND. current_size .GE. wanted_size) THEN\n IF (careful_mod) CALL timestop(handle)\n RETURN\n END IF\n !\n nocp = .FALSE.\n IF (PRESENT(nocopy)) nocp = nocopy\n pad = .FALSE.\n IF (PRESENT(zero_pad)) pad = zero_pad\n\n IF (dbcsr_data_exists(area)) THEN\n IF (nocp .AND. dbcsr_data_get_size(area) <= 1) THEN\n IF (PRESENT(area_resize)) THEN\n CALL dbcsr_data_set_pointer(area_resize, &\n dbcsr_data_get_size(area), 1, area)\n CALL dbcsr_data_clear_pointer(area)\n ELSE\n CALL internal_data_deallocate(area%d)\n END IF\n END IF\n END IF\n\n IF (.NOT. dbcsr_data_exists(area)) THEN\n IF (ASSOCIATED(area%d%memory_type%pool)) THEN\n area_tmp = dbcsr_mempool_get(area%d%memory_type, area%d%data_type, wanted_size)\n IF (ASSOCIATED(area_tmp%d)) THEN\n area_tmp%d%ref_size = wanted_size\n area_tmp%d%refcount = area%d%refcount\n DEALLOCATE (area%d)\n area = area_tmp\n END IF\n END IF\n\n IF (.NOT. dbcsr_data_exists(area)) &\n CALL internal_data_allocate(area%d, (/wanted_size/))\n\n IF (pad) CALL dbcsr_data_zero(area, (/1/), (/wanted_size/))\n ELSE\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_int_8)\n IF (PRESENT(area_resize)) THEN\n CALL ensure_array_size(area%d%i8, &\n array_resize=area_resize%d%i8, &\n ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n ELSE\n CALL ensure_array_size(area%d%i8, ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n END IF\n CASE (dbcsr_type_int_4)\n IF (PRESENT(area_resize)) THEN\n CALL ensure_array_size(area%d%i4, &\n array_resize=area_resize%d%i4, &\n ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n ELSE\n CALL ensure_array_size(area%d%i4, ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n END IF\n CASE (dbcsr_type_real_8)\n IF (PRESENT(area_resize)) THEN\n CALL ensure_array_size(area%d%r_dp, &\n array_resize=area_resize%d%r_dp, &\n ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n ELSE\n CALL ensure_array_size(area%d%r_dp, ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n END IF\n CASE (dbcsr_type_real_4)\n IF (PRESENT(area_resize)) THEN\n CALL ensure_array_size(area%d%r_sp, &\n array_resize=area_resize%d%r_sp, &\n ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n ELSE\n CALL ensure_array_size(area%d%r_sp, ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n END IF\n CASE (dbcsr_type_complex_8)\n IF (PRESENT(area_resize)) THEN\n CALL ensure_array_size(area%d%c_dp, &\n array_resize=area_resize%d%c_dp, &\n ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n ELSE\n CALL ensure_array_size(area%d%c_dp, ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n END IF\n CASE (dbcsr_type_complex_4)\n IF (PRESENT(area_resize)) THEN\n CALL ensure_array_size(area%d%c_sp, &\n array_resize=area_resize%d%c_sp, &\n ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n ELSE\n CALL ensure_array_size(area%d%c_sp, ub=wanted_size, &\n memory_type=area%d%memory_type, &\n nocopy=nocp, zero_pad=zero_pad, &\n factor=factor)\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid data type are supported\")\n END SELECT\n\n IF (area%d%memory_type%acc_devalloc) THEN\n IF (.NOT. acc_devmem_allocated(area%d%acc_devmem)) THEN\n CALL acc_devmem_allocate_bytes(area%d%acc_devmem, &\n dbcsr_datatype_sizeof(area%d%data_type)*dbcsr_data_get_size(area))\n IF (pad) CALL acc_devmem_setzero_bytes(area%d%acc_devmem, stream=area%d%memory_type%acc_stream)\n ELSE\n CALL acc_devmem_ensure_size_bytes(area%d%acc_devmem, &\n area%d%memory_type%acc_stream, &\n dbcsr_datatype_sizeof(area%d%data_type)*dbcsr_data_get_size(area), &\n nocopy, zero_pad)\n END IF\n CALL acc_event_record(area%d%acc_ready, area%d%memory_type%acc_stream)\n IF (dbcsr_datatype_sizeof(area%d%data_type)*dbcsr_data_get_size(area) &\n /= acc_devmem_size_in_bytes(area%d%acc_devmem)) &\n DBCSR_ABORT(\"Host and device buffer differ in size.\")\n END IF\n\n END IF\n IF (careful_mod) CALL timestop(handle)\n END SUBROUTINE dbcsr_data_ensure_size\n\n SUBROUTINE dbcsr_data_release(area)\n !! Removes a reference and/or clears the data area.\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! data area\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_release'\n\n INTEGER :: handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. ASSOCIATED(area%d)) &\n DBCSR_WARN(\"Data seems to be unreferenced.\")\n IF (ASSOCIATED(area%d)) THEN\n !\n IF (careful_mod) THEN\n IF (area%d%refcount .LE. 0) &\n DBCSR_WARN(\"Data seems to be unreferenced.\")\n END IF\n !\n area%d%refcount = area%d%refcount - 1\n ! If we're releasing the last reference, then free the memory.\n IF (area%d%refcount .EQ. 0) THEN\n IF (.NOT. dbcsr_data_exists(area)) THEN\n DEALLOCATE (area%d)\n ELSE IF (dbcsr_data_get_size(area) > 1 .AND. ASSOCIATED(area%d%memory_type%pool)) THEN\n area%d%ref_size = 0\n CALL dbcsr_mempool_add(area)\n ELSE\n CALL internal_data_deallocate(area%d)\n DEALLOCATE (area%d)\n END IF\n NULLIFY (area%d)\n END IF\n END IF\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_data_release\n\nEND MODULE dbcsr_data_methods\n" }, { "path": "src/data/dbcsr_data_methods_low.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_data_methods_low\n !! DBCSR data methods\n\n USE dbcsr_acc_devmem, ONLY: acc_devmem_allocate_bytes, &\n acc_devmem_allocated, &\n acc_devmem_deallocate, &\n acc_devmem_set_cptr\n USE dbcsr_acc_event, ONLY: acc_event_create, &\n acc_event_destroy\n USE dbcsr_data_types, ONLY: &\n dbcsr_data_area_type, dbcsr_data_obj, dbcsr_datatype_sizeof, dbcsr_memtype_type, &\n dbcsr_scalar_type, dbcsr_type_complex_4, dbcsr_type_complex_4_2d, dbcsr_type_complex_8, &\n dbcsr_type_complex_8_2d, dbcsr_type_int_4, dbcsr_type_int_8, dbcsr_type_real_4, &\n dbcsr_type_real_4_2d, dbcsr_type_real_8, dbcsr_type_real_8_2d\n USE dbcsr_ptr_util, ONLY: memory_allocate, &\n memory_deallocate, &\n memory_zero, &\n pointer_rank_remap2\n USE dbcsr_kinds, ONLY: dp, &\n real_4, &\n real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_data_methods_low'\n\n PUBLIC :: dbcsr_type_is_2d, dbcsr_type_2d_to_1d, dbcsr_type_1d_to_2d\n PUBLIC :: dbcsr_scalar, dbcsr_scalar_one, dbcsr_scalar_zero, &\n dbcsr_scalar_are_equal, dbcsr_scalar_negative, &\n dbcsr_scalar_get_type, dbcsr_scalar_set_type, &\n dbcsr_scalar_fill_all, dbcsr_scalar_get_value, &\n dbcsr_data_valid, dbcsr_scalar_multiply\n PUBLIC :: dbcsr_data_init, dbcsr_data_hold, &\n dbcsr_data_get_size, dbcsr_data_get_type\n PUBLIC :: dbcsr_get_data, &\n dbcsr_data_set_pointer, &\n dbcsr_data_clear_pointer, &\n dbcsr_data_get_sizes, dbcsr_data_verify_bounds, &\n dbcsr_data_exists, dbcsr_data_get_memory_type\n PUBLIC :: dbcsr_data_set_size_referenced, dbcsr_data_get_size_referenced\n PUBLIC :: dbcsr_get_data_p, dbcsr_get_data_p_s, dbcsr_get_data_p_c, &\n dbcsr_get_data_p_d, dbcsr_get_data_p_z, &\n dbcsr_get_data_p_2d_s, dbcsr_get_data_p_2d_d, &\n dbcsr_get_data_p_2d_c, dbcsr_get_data_p_2d_z\n PUBLIC :: dbcsr_data_zero\n\n PUBLIC :: internal_data_allocate, internal_data_deallocate\n\n INTERFACE dbcsr_scalar\n !! Encapsulates a scalar.\n MODULE PROCEDURE dbcsr_scalar_s, dbcsr_scalar_d, &\n dbcsr_scalar_c, dbcsr_scalar_z\n END INTERFACE\n\n INTERFACE dbcsr_scalar_get_value\n !! Encapsulates a scalar.\n MODULE PROCEDURE dbcsr_scalar_get_value_s, dbcsr_scalar_get_value_d, &\n dbcsr_scalar_get_value_c, dbcsr_scalar_get_value_z\n END INTERFACE\n\n INTERFACE dbcsr_data_set_pointer\n MODULE PROCEDURE set_data_p_s, set_data_p_d, set_data_p_c, set_data_p_z\n MODULE PROCEDURE set_data_p_2d_s, set_data_p_2d_d, &\n set_data_p_2d_c, set_data_p_2d_z\n MODULE PROCEDURE set_data_area_area\n END INTERFACE\n\n INTERFACE dbcsr_get_data\n MODULE PROCEDURE get_data_s, get_data_d, get_data_c, get_data_z\n MODULE PROCEDURE get_data_2d_s, get_data_2d_d, get_data_2d_c, get_data_2d_z\n END INTERFACE\n\n INTERFACE dbcsr_get_data_p\n MODULE PROCEDURE dbcsr_get_data_c_s, dbcsr_get_data_c_c, &\n dbcsr_get_data_c_d, dbcsr_get_data_c_z\n END INTERFACE\n\n INTERFACE dbcsr_get_data_cptr\n MODULE PROCEDURE dbcsr_get_data_c_s, dbcsr_get_data_c_c, &\n dbcsr_get_data_c_d, dbcsr_get_data_c_z\n END INTERFACE\n\n INTERFACE dbcsr_data_get_sizes\n MODULE PROCEDURE dbcsr_data_get_sizes_any\n MODULE PROCEDURE dbcsr_data_get_sizes_1, dbcsr_data_get_sizes_2\n END INTERFACE\n\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n\nCONTAINS\n\n PURE FUNCTION dbcsr_data_get_type(area) RESULT(data_type)\n !! Returns data type of a data area\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n INTEGER :: data_type\n !! data type of the data area\n\n data_type = area%d%data_type\n END FUNCTION dbcsr_data_get_type\n\n FUNCTION dbcsr_data_get_memory_type(area) RESULT(memory_type)\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n TYPE(dbcsr_memtype_type) :: memory_type\n\n memory_type = area%d%memory_type\n END FUNCTION dbcsr_data_get_memory_type\n\n SUBROUTINE dbcsr_data_init(area)\n !! Initializes a data area\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! data area\n\n NULLIFY (area%d)\n END SUBROUTINE dbcsr_data_init\n\n SUBROUTINE internal_data_allocate(area, sizes)\n !! Allocates pointers in the data type\n\n TYPE(dbcsr_data_area_type), INTENT(INOUT) :: area\n !! internal structure holding array pointers\n INTEGER, DIMENSION(:), INTENT(IN), CONTIGUOUS :: sizes\n !! sizes to allocate to\n\n CHARACTER(len=*), PARAMETER :: routineN = 'internal_data_allocate'\n\n INTEGER :: error_handle\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) &\n CALL timeset(routineN, error_handle)\n IF (debug_mod) &\n WRITE (*, *) routineN//\" Setting to sizes\", sizes\n IF (dbcsr_type_is_2d(area%data_type)) THEN\n IF (SIZE(sizes) /= 2) &\n DBCSR_ABORT(\"Sizes must have 2 elements for 2-D data\")\n ELSE\n IF (SIZE(sizes) /= 1) &\n DBCSR_ABORT(\"Sizes must have 1 elements for 1-D data\")\n END IF\n\n SELECT CASE (area%data_type)\n CASE (dbcsr_type_int_4)\n CALL memory_allocate(area%i4, n=sizes(1), mem_type=area%memory_type)\n CASE (dbcsr_type_int_8)\n CALL memory_allocate(area%i8, n=sizes(1), mem_type=area%memory_type)\n CASE (dbcsr_type_real_4)\n CALL memory_allocate(area%r_sp, n=sizes(1), mem_type=area%memory_type)\n CASE (dbcsr_type_real_8)\n CALL memory_allocate(area%r_dp, n=sizes(1), mem_type=area%memory_type)\n CASE (dbcsr_type_complex_4)\n CALL memory_allocate(area%c_sp, n=sizes(1), mem_type=area%memory_type)\n CASE (dbcsr_type_complex_8)\n CALL memory_allocate(area%c_dp, n=sizes(1), mem_type=area%memory_type)\n\n CASE (dbcsr_type_real_4_2d)\n CALL memory_allocate(area%r2_sp, sizes=sizes, mem_type=area%memory_type)\n CASE (dbcsr_type_real_8_2d)\n CALL memory_allocate(area%r2_dp, sizes=sizes, mem_type=area%memory_type)\n CASE (dbcsr_type_complex_4_2d)\n CALL memory_allocate(area%c2_sp, sizes=sizes, mem_type=area%memory_type)\n CASE (dbcsr_type_complex_8_2d)\n CALL memory_allocate(area%c2_dp, sizes=sizes, mem_type=area%memory_type)\n\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n\n IF (area%memory_type%acc_devalloc) THEN\n IF (sizes(1) >= 0) &\n CALL acc_devmem_allocate_bytes(area%acc_devmem, dbcsr_datatype_sizeof(area%data_type)*sizes(1))\n CALL acc_event_create(area%acc_ready)\n END IF\n\n IF (careful_mod) &\n CALL timestop(error_handle)\n\n END SUBROUTINE internal_data_allocate\n\n SUBROUTINE internal_data_deallocate(area)\n !! Allocates pointers in the data type\n\n TYPE(dbcsr_data_area_type), INTENT(INOUT) :: area\n !! internal structure holding array pointers\n\n CHARACTER(len=*), PARAMETER :: routineN = 'internal_data_deallocate'\n\n INTEGER :: handle\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) &\n CALL timeset(routineN, handle)\n\n SELECT CASE (area%data_type)\n CASE (dbcsr_type_int_4)\n CALL memory_deallocate(area%i4, mem_type=area%memory_type)\n NULLIFY (area%i4)\n CASE (dbcsr_type_int_8)\n CALL memory_deallocate(area%i8, mem_type=area%memory_type)\n NULLIFY (area%i8)\n CASE (dbcsr_type_real_4)\n CALL memory_deallocate(area%r_sp, mem_type=area%memory_type)\n NULLIFY (area%r_sp)\n CASE (dbcsr_type_real_8)\n CALL memory_deallocate(area%r_dp, mem_type=area%memory_type)\n NULLIFY (area%r_dp)\n CASE (dbcsr_type_complex_4)\n CALL memory_deallocate(area%c_sp, mem_type=area%memory_type)\n NULLIFY (area%c_sp)\n CASE (dbcsr_type_complex_8)\n CALL memory_deallocate(area%c_dp, mem_type=area%memory_type)\n NULLIFY (area%c_dp)\n\n CASE (dbcsr_type_real_4_2d)\n CALL memory_deallocate(area%r2_sp, mem_type=area%memory_type)\n NULLIFY (area%r2_sp)\n CASE (dbcsr_type_real_8_2d)\n CALL memory_deallocate(area%r2_dp, mem_type=area%memory_type)\n NULLIFY (area%r2_dp)\n CASE (dbcsr_type_complex_4_2d)\n CALL memory_deallocate(area%c2_sp, mem_type=area%memory_type)\n NULLIFY (area%c2_sp)\n CASE (dbcsr_type_complex_8_2d)\n CALL memory_deallocate(area%c2_dp, mem_type=area%memory_type)\n NULLIFY (area%c2_dp)\n\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n\n IF (area%memory_type%acc_devalloc) THEN\n IF (acc_devmem_allocated(area%acc_devmem)) &\n CALL acc_devmem_deallocate(area%acc_devmem)\n CALL acc_event_destroy(area%acc_ready)\n END IF\n\n IF (careful_mod) &\n CALL timestop(handle)\n END SUBROUTINE internal_data_deallocate\n\n SUBROUTINE dbcsr_data_clear_pointer(area)\n !! Clears pointers from the data area.\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! data area\n\n IF (.NOT. ASSOCIATED(area%d)) THEN\n RETURN\n END IF\n\n IF (area%d%refcount .LE. 0) &\n DBCSR_WARN(\"Data seems to be unreferenced.\")\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_int_4)\n NULLIFY (area%d%i4)\n CASE (dbcsr_type_int_8)\n NULLIFY (area%d%i8)\n CASE (dbcsr_type_real_4)\n NULLIFY (area%d%r_sp)\n CASE (dbcsr_type_real_8)\n NULLIFY (area%d%r_dp)\n CASE (dbcsr_type_complex_4)\n NULLIFY (area%d%c_sp)\n CASE (dbcsr_type_complex_8)\n NULLIFY (area%d%c_dp)\n CASE (dbcsr_type_real_8_2d)\n NULLIFY (area%d%r2_dp)\n CASE (dbcsr_type_real_4_2d)\n NULLIFY (area%d%r2_sp)\n CASE (dbcsr_type_complex_8_2d)\n NULLIFY (area%d%c2_dp)\n CASE (dbcsr_type_complex_4_2d)\n NULLIFY (area%d%c2_sp)\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n END SUBROUTINE dbcsr_data_clear_pointer\n\n ELEMENTAL FUNCTION dbcsr_data_valid(area) RESULT(valid)\n !! Checks whether a data area is valid\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n LOGICAL :: valid\n !! whether the data area is valid\n\n valid = ASSOCIATED(area%d)\n END FUNCTION dbcsr_data_valid\n\n FUNCTION dbcsr_data_exists(area) RESULT(valid)\n !! Checks whether a data pointer exists\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n LOGICAL :: valid\n !! whether the data pointer exists\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_exists'\n\n INTEGER :: error_handle\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) THEN\n CALL timeset(routineN, error_handle)\n END IF\n !\n valid = dbcsr_data_valid(area)\n IF (.NOT. valid) &\n DBCSR_ABORT(\"Data area is invalid.\")\n\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_int_4)\n valid = ASSOCIATED(area%d%i4)\n CASE (dbcsr_type_int_8)\n valid = ASSOCIATED(area%d%i8)\n CASE (dbcsr_type_real_4)\n valid = ASSOCIATED(area%d%r_sp)\n CASE (dbcsr_type_real_8)\n valid = ASSOCIATED(area%d%r_dp)\n CASE (dbcsr_type_complex_4)\n valid = ASSOCIATED(area%d%c_sp)\n CASE (dbcsr_type_complex_8)\n valid = ASSOCIATED(area%d%c_dp)\n CASE (dbcsr_type_real_4_2d)\n valid = ASSOCIATED(area%d%r2_sp)\n CASE (dbcsr_type_real_8_2d)\n valid = ASSOCIATED(area%d%r2_dp)\n CASE (dbcsr_type_complex_4_2d)\n valid = ASSOCIATED(area%d%c2_sp)\n CASE (dbcsr_type_complex_8_2d)\n valid = ASSOCIATED(area%d%c2_dp)\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n\n IF (careful_mod) THEN\n CALL timestop(error_handle)\n END IF\n END FUNCTION dbcsr_data_exists\n\n SUBROUTINE dbcsr_data_hold(area)\n !! Registers another use of the data area\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! data area\n\n IF (careful_mod) THEN\n IF (.NOT. ASSOCIATED(area%d)) &\n DBCSR_ABORT(\"Can't hold an empty data area.\")\n IF (area%d%refcount <= 0) &\n DBCSR_ABORT(\"Should not hold an area with zero references.\")\n END IF\n IF (.NOT. ASSOCIATED(area%d)) THEN\n RETURN\n END IF\n!$OMP ATOMIC\n area%d%refcount = area%d%refcount + 1\n END SUBROUTINE dbcsr_data_hold\n\n SUBROUTINE set_data_area_area(area, rsize, csize, pointee, source_lb)\n !! Points data area data pointers to another data area\n !! Assumes that no memory will be lost when repointing the pointer in the data\n !! area and that the area is initialized.\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! data area to repoint\n INTEGER, INTENT(IN) :: rsize, csize\n !! size of data area to point to\n !! size of data area to point to\n TYPE(dbcsr_data_obj), INTENT(IN) :: pointee\n !! data area to point to\n INTEGER, INTENT(IN), OPTIONAL :: source_lb\n !! point to this offset in pointee\n\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER :: c_sp\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER :: c_dp\n INTEGER :: bp, dt1, dt2, nze\n LOGICAL :: compatible, pointee_is_2d, rmp\n REAL(KIND=real_4), DIMENSION(:), POINTER :: r_sp\n REAL(KIND=real_8), DIMENSION(:), POINTER :: r_dp\n\n! ---------------------------------------------------------------------------\n\n bp = 1; IF (PRESENT(source_lb)) bp = source_lb\n nze = rsize*csize\n dt1 = area%d%data_type\n dt2 = pointee%d%data_type\n IF (careful_mod) THEN\n compatible = dt1 .EQ. dt2 .OR. dt1 .EQ. dbcsr_type_1d_to_2d(dt2)\n IF (.NOT. compatible) &\n DBCSR_ABORT(\"Can not point 1-d pointer to 2-d data\")\n\n END IF\n pointee_is_2d = dbcsr_type_is_2d(dt2)\n IF (careful_mod) THEN\n IF (PRESENT(source_lb) .AND. pointee_is_2d) &\n DBCSR_ABORT(\"Lower bound specification not possible with 2-d data\")\n ! Check if size is OK.\n IF (bp < 1) &\n DBCSR_ABORT(\"Attempt to point out of bounds\")\n IF (bp + nze - 1 > dbcsr_data_get_size(pointee)) &\n DBCSR_ABORT(\"Attempt to point out of bounds\")\n END IF\n ! There's a remap if the ranks are compatible but not equal.\n rmp = dt1 .NE. dt2\n SELECT CASE (dt2)\n CASE (dbcsr_type_int_4)\n area%d%i4 => pointee%d%i4(bp:bp + nze - 1)\n CASE (dbcsr_type_real_4_2d)\n area%d%r2_sp => pointee%d%r2_sp(1:rsize, 1:csize)\n CASE (dbcsr_type_real_4)\n IF (rmp) THEN\n r_sp => dbcsr_get_data_p_s(pointee, bp, bp + nze - 1)\n CALL pointer_rank_remap2(area%d%r2_sp, rsize, csize, &\n r_sp)\n ELSE\n area%d%r_sp => dbcsr_get_data_p_s(pointee, bp, bp + nze - 1)\n END IF\n CASE (dbcsr_type_real_8_2d)\n area%d%r2_dp => pointee%d%r2_dp(1:rsize, 1:csize)\n CASE (dbcsr_type_real_8)\n IF (rmp) THEN\n r_dp => dbcsr_get_data_p_d(pointee, bp, bp + nze - 1)\n CALL pointer_rank_remap2(area%d%r2_dp, rsize, csize, &\n r_dp)\n ELSE\n area%d%r_dp => dbcsr_get_data_p_d(pointee, bp, bp + nze - 1)\n END IF\n CASE (dbcsr_type_complex_4_2d)\n area%d%c2_sp => pointee%d%c2_sp(1:rsize, 1:csize)\n CASE (dbcsr_type_complex_4)\n IF (rmp) THEN\n c_sp => dbcsr_get_data_p_c(pointee, bp, bp + nze - 1)\n CALL pointer_rank_remap2(area%d%c2_sp, rsize, csize, &\n c_sp)\n ELSE\n area%d%c_sp => dbcsr_get_data_p_c(pointee, bp, bp + nze - 1)\n END IF\n CASE (dbcsr_type_complex_8_2d)\n area%d%c2_dp => pointee%d%c2_dp(1:rsize, 1:csize)\n CASE (dbcsr_type_complex_8)\n IF (rmp) THEN\n c_dp => dbcsr_get_data_p_z(pointee, bp, bp + nze - 1)\n CALL pointer_rank_remap2(area%d%c2_dp, rsize, csize, &\n c_dp)\n ELSE\n area%d%c_dp => dbcsr_get_data_p_z(pointee, bp, bp + nze - 1)\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CALL dbcsr_data_set_size_referenced(area, rsize*csize)\n IF (debug_mod) THEN\n IF (dbcsr_data_get_size_referenced(area) /= dbcsr_data_get_size(area)) &\n DBCSR_ABORT(\"Size mismatch\")\n END IF\n !\n IF (area%d%memory_type%acc_devalloc .AND. pointee%d%memory_type%acc_devalloc) THEN\n IF (pointee_is_2d) &\n DBCSR_ABORT(\"Setting GPU pointers for 2D data is not available!\")\n CALL acc_devmem_set_cptr(area%d%acc_devmem, &\n pointee%d%acc_devmem, &\n dbcsr_datatype_sizeof(area%d%data_type)*nze, &\n dbcsr_datatype_sizeof(area%d%data_type)*(bp - 1))\n END IF\n END SUBROUTINE set_data_area_area\n\n FUNCTION dbcsr_data_get_size(area) RESULT(data_size)\n !! Returns the allocated data size\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n INTEGER :: data_size\n !! size of data\n\n data_size = 0\n IF (ASSOCIATED(area%d)) THEN\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_int_4)\n IF (ASSOCIATED(area%d%i4)) &\n data_size = SIZE(area%d%i4)\n CASE (dbcsr_type_int_8)\n IF (ASSOCIATED(area%d%i8)) &\n data_size = SIZE(area%d%i8)\n CASE (dbcsr_type_real_8)\n IF (ASSOCIATED(area%d%r_dp)) &\n data_size = SIZE(area%d%r_dp)\n CASE (dbcsr_type_real_4)\n IF (ASSOCIATED(area%d%r_sp)) &\n data_size = SIZE(area%d%r_sp)\n CASE (dbcsr_type_complex_8)\n IF (ASSOCIATED(area%d%c_dp)) &\n data_size = SIZE(area%d%c_dp)\n CASE (dbcsr_type_complex_4)\n IF (ASSOCIATED(area%d%c_sp)) &\n data_size = SIZE(area%d%c_sp)\n CASE (dbcsr_type_real_8_2d)\n IF (ASSOCIATED(area%d%r2_dp)) &\n data_size = SIZE(area%d%r2_dp)\n CASE (dbcsr_type_real_4_2d)\n IF (ASSOCIATED(area%d%r2_sp)) &\n data_size = SIZE(area%d%r2_sp)\n CASE (dbcsr_type_complex_8_2d)\n IF (ASSOCIATED(area%d%c2_dp)) &\n data_size = SIZE(area%d%c2_dp)\n CASE (dbcsr_type_complex_4_2d)\n IF (ASSOCIATED(area%d%c2_sp)) &\n data_size = SIZE(area%d%c2_sp)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n ELSE\n DBCSR_WARN(\"Uninitialized data area\")\n data_size = 0\n END IF\n END FUNCTION dbcsr_data_get_size\n\n SUBROUTINE dbcsr_data_verify_bounds(area, lb, ub)\n !! Verifies bounds of a data area\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! Data area\n INTEGER, DIMENSION(:), INTENT(IN) :: lb, ub\n !! lower bounds\n !! upper bounds\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_verify_bounds'\n\n INTEGER :: data_type, handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n data_type = dbcsr_data_get_type(area)\n IF (dbcsr_type_is_2d(data_type)) THEN\n IF (SIZE(lb) /= 2) &\n DBCSR_ABORT(\"size must be 2 for 2-d lb\")\n IF (SIZE(ub) /= 2) &\n DBCSR_ABORT(\"size must be 2 for 2-d ub\")\n ELSE\n IF (SIZE(lb) /= 1) &\n DBCSR_ABORT(\"size must be 1 for 1-d lb\")\n IF (SIZE(ub) /= 1) &\n DBCSR_ABORT(\"size must be 1 for 1-d ub\")\n END IF\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n IF (lb(1) < LBOUND(area%d%r_sp, 1)) DBCSR_ABORT(\"lb r_sp\")\n IF (ub(1) > UBOUND(area%d%r_sp, 1)) DBCSR_ABORT(\"ub r_sp\")\n CASE (dbcsr_type_real_4_2d)\n IF (lb(1) < LBOUND(area%d%r2_sp, 1)) DBCSR_ABORT(\"lb r_sp 2d\")\n IF (ub(1) > UBOUND(area%d%r2_sp, 1)) DBCSR_ABORT(\"ub r_sp 2d\")\n IF (lb(2) < LBOUND(area%d%r2_sp, 2)) DBCSR_ABORT(\"lb r_sp 2d\")\n IF (ub(2) > UBOUND(area%d%r2_sp, 2)) DBCSR_ABORT(\"ub r_sp 2d\")\n CASE (dbcsr_type_real_8)\n IF (lb(1) < LBOUND(area%d%r_dp, 1)) DBCSR_ABORT(\"lb r_dp\")\n IF (ub(1) > UBOUND(area%d%r_dp, 1)) DBCSR_ABORT(\"ub r_dp\")\n CASE (dbcsr_type_real_8_2d)\n IF (lb(1) < LBOUND(area%d%r2_dp, 1)) DBCSR_ABORT(\"lb r_dp 2d\")\n IF (ub(1) > UBOUND(area%d%r2_dp, 1)) DBCSR_ABORT(\"ub r_dp 2d\")\n IF (lb(2) < LBOUND(area%d%r2_dp, 2)) DBCSR_ABORT(\"lb r_dp 2d\")\n IF (ub(2) > UBOUND(area%d%r2_dp, 2)) DBCSR_ABORT(\"ub r_dp 2d\")\n CASE (dbcsr_type_complex_4)\n IF (lb(1) < LBOUND(area%d%c_sp, 1)) DBCSR_ABORT(\"lb c_sp\")\n IF (ub(1) > UBOUND(area%d%c_sp, 1)) DBCSR_ABORT(\"ub c_sp\")\n CASE (dbcsr_type_complex_4_2d)\n IF (lb(1) < LBOUND(area%d%c2_sp, 1)) DBCSR_ABORT(\"lb c_sp 2d\")\n IF (ub(1) > UBOUND(area%d%c2_sp, 1)) DBCSR_ABORT(\"ub c_sp 2d\")\n IF (lb(2) < LBOUND(area%d%c2_sp, 2)) DBCSR_ABORT(\"lb c_sp 2d\")\n IF (ub(2) > UBOUND(area%d%c2_sp, 2)) DBCSR_ABORT(\"ub c_sp 2d\")\n CASE (dbcsr_type_complex_8)\n IF (lb(1) < LBOUND(area%d%c_dp, 1)) DBCSR_ABORT(\"lb c_dp\")\n IF (ub(1) > UBOUND(area%d%c_dp, 1)) DBCSR_ABORT(\"ub c_dp\")\n CASE (dbcsr_type_complex_8_2d)\n IF (lb(1) < LBOUND(area%d%c2_dp, 1)) DBCSR_ABORT(\"lb c_dp 2d\")\n IF (ub(1) > UBOUND(area%d%c2_dp, 1)) DBCSR_ABORT(\"ub c_dp 2d\")\n IF (lb(2) < LBOUND(area%d%c2_dp, 2)) DBCSR_ABORT(\"lb c_dp 2d\")\n IF (ub(2) > UBOUND(area%d%c2_dp, 2)) DBCSR_ABORT(\"ub c_dp 2d\")\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CALL timestop(handle)\n END SUBROUTINE dbcsr_data_verify_bounds\n\n SUBROUTINE dbcsr_data_zero(area, lb, ub)\n !! Clears a part of the data area\n !! @note\n !! Optimized for clearing big 1-D data areas from all data types.\n !! @endnote\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! data area\n INTEGER, DIMENSION(:), INTENT(in) :: lb, ub\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_zero'\n\n INTEGER :: error_handle\n\n REAL(KIND=real_4), DIMENSION(:), POINTER, CONTIGUOUS :: r_sp\n REAL(KIND=real_8), DIMENSION(:), POINTER, CONTIGUOUS :: r_dp\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER, CONTIGUOUS :: c_sp\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER, CONTIGUOUS :: c_dp\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) THEN\n CALL timeset(routineN, error_handle)\n END IF\n\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_real_4)\n r_sp => area%d%r_sp(lb(1):ub(1))\n CALL memory_zero(r_sp, SIZE(r_sp))\n CASE (dbcsr_type_real_8)\n r_dp => area%d%r_dp(lb(1):ub(1))\n CALL memory_zero(r_dp, SIZE(r_dp))\n CASE (dbcsr_type_complex_4)\n c_sp => area%d%c_sp(lb(1):ub(1))\n CALL memory_zero(c_sp, SIZE(c_sp))\n CASE (dbcsr_type_complex_8)\n c_dp => area%d%c_dp(lb(1):ub(1))\n CALL memory_zero(c_dp, SIZE(c_dp))\n CASE (dbcsr_type_real_4_2d)\n area%d%r2_sp(lb(1):ub(1), lb(2):ub(2)) = 0.0_real_4\n CASE (dbcsr_type_real_8_2d)\n area%d%r2_dp(lb(1):ub(1), lb(2):ub(2)) = 0.0_real_8\n CASE (dbcsr_type_complex_4_2d)\n area%d%c2_sp(lb(1):ub(1), lb(2):ub(2)) = 0.0_real_4\n CASE (dbcsr_type_complex_8_2d)\n area%d%c2_dp(lb(1):ub(1), lb(2):ub(2)) = 0.0_real_8\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n\n IF (area%d%memory_type%acc_devalloc) &\n DBCSR_ABORT(\"not yet supported for acc devmem\")\n\n IF (careful_mod) THEN\n CALL timestop(error_handle)\n END IF\n END SUBROUTINE dbcsr_data_zero\n\n SUBROUTINE dbcsr_data_get_sizes_any(area, sizes, valid)\n !! Returns the allocated data size\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area to query for size\n INTEGER, DIMENSION(:), INTENT(OUT) :: sizes\n !! array with the data sizes\n LOGICAL, INTENT(OUT) :: valid\n !! whether the data is actually allocated\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_get_sizes_any'\n\n INTEGER :: handle\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) &\n CALL timeset(routineN, handle)\n\n valid = .FALSE.\n sizes(:) = 0\n IF (ASSOCIATED(area%d)) THEN\n IF (careful_mod) THEN\n IF (dbcsr_type_is_2d(area%d%data_type)) THEN\n IF (SIZE(sizes) /= 2) &\n DBCSR_ABORT(\"Sizes must have 2 elements for 2-D data\")\n ELSE\n IF (SIZE(sizes) /= 1) &\n DBCSR_ABORT(\"Sizes must have 1 elements for 1-D data\")\n END IF\n END IF\n valid = dbcsr_data_exists(area)\n IF (valid) THEN\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_real_8)\n sizes(1) = SIZE(area%d%r_dp)\n CASE (dbcsr_type_real_4)\n sizes(1) = SIZE(area%d%r_sp)\n CASE (dbcsr_type_complex_8)\n sizes(1) = SIZE(area%d%c_dp)\n CASE (dbcsr_type_complex_4)\n sizes(1) = SIZE(area%d%c_sp)\n CASE (dbcsr_type_real_8_2d)\n sizes(1) = SIZE(area%d%r2_dp, 1)\n sizes(2) = SIZE(area%d%r2_dp, 2)\n CASE (dbcsr_type_real_4_2d)\n sizes(1) = SIZE(area%d%r2_sp, 1)\n sizes(2) = SIZE(area%d%r2_sp, 2)\n CASE (dbcsr_type_complex_8_2d)\n sizes(1) = SIZE(area%d%c2_dp, 1)\n sizes(2) = SIZE(area%d%c2_dp, 2)\n CASE (dbcsr_type_complex_4_2d)\n sizes(1) = SIZE(area%d%c2_sp, 1)\n sizes(2) = SIZE(area%d%c2_sp, 2)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END IF\n END IF\n IF (careful_mod) &\n CALL timestop(handle)\n END SUBROUTINE dbcsr_data_get_sizes_any\n\n SUBROUTINE dbcsr_data_get_sizes_2(area, row_size, col_size, valid)\n !! Returns the allocated data size\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area to query for size, should be 2-D\n INTEGER, INTENT(OUT) :: row_size, col_size\n !! row size\n !! column size\n LOGICAL, INTENT(OUT) :: valid\n !! whether the data is actually allocated\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_get_sizes_2'\n\n INTEGER :: handle\n INTEGER, DIMENSION(2) :: s\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) &\n CALL timeset(routineN, handle)\n IF (ASSOCIATED(area%d)) THEN\n IF (careful_mod .AND. .NOT. dbcsr_type_is_2d(area%d%data_type)) &\n DBCSR_ABORT(\"1-D data can not have column size\")\n CALL dbcsr_data_get_sizes_any(area, s, valid)\n row_size = s(1)\n col_size = s(2)\n ELSE\n valid = .FALSE.\n row_size = 0\n col_size = 0\n END IF\n IF (careful_mod) &\n CALL timestop(handle)\n END SUBROUTINE dbcsr_data_get_sizes_2\n\n SUBROUTINE dbcsr_data_get_sizes_1(area, total_size, valid)\n !! Returns the allocated data size\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area to query for size\n INTEGER, INTENT(OUT) :: total_size\n !! size of array\n LOGICAL, INTENT(OUT) :: valid\n !! whether the data is actually allocated\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_data_get_sizes_1'\n\n INTEGER :: handle\n INTEGER, DIMENSION(1) :: s\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n IF (ASSOCIATED(area%d)) THEN\n IF (careful_mod .AND. dbcsr_type_is_2d(area%d%data_type)) &\n DBCSR_ABORT(\"Should not use 2-D data\")\n CALL dbcsr_data_get_sizes_any(area, s, valid)\n total_size = s(1)\n ELSE\n valid = .FALSE.\n total_size = 0\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_data_get_sizes_1\n\n ELEMENTAL FUNCTION dbcsr_scalar_one(data_type) RESULT(one)\n !! Returns an encapsulated scalar \"1\"\n\n INTEGER, INTENT(IN) :: data_type\n !! use the data type\n TYPE(dbcsr_scalar_type) :: one\n !! encapsulated value of one\n\n one = dbcsr_scalar_zero(data_type)\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n one%r_sp = 1.0_real_4\n CASE (dbcsr_type_real_8)\n one%r_dp = 1.0_real_8\n CASE (dbcsr_type_complex_4)\n one%c_sp = CMPLX(1.0, 0.0, real_4)\n CASE (dbcsr_type_complex_8)\n one%c_dp = CMPLX(1.0, 0.0, real_8)\n END SELECT\n END FUNCTION dbcsr_scalar_one\n\n ELEMENTAL FUNCTION dbcsr_scalar_zero(data_type) RESULT(zero)\n !! Returns an encapsulated scalar \"0\"\n\n INTEGER, INTENT(IN) :: data_type\n !! use the data type\n TYPE(dbcsr_scalar_type) :: zero\n !! encapsulated value of zero\n\n zero%data_type = data_type\n zero%r_sp = 0.0_real_4\n zero%r_dp = 0.0_real_8\n zero%c_sp = CMPLX(0.0, 0.0, real_4)\n zero%c_dp = CMPLX(0.0, 0.0, real_8)\n END FUNCTION dbcsr_scalar_zero\n\n ELEMENTAL FUNCTION dbcsr_scalar_are_equal(s1, s2) RESULT(are_equal)\n !! Returns whether an encapsulated scalar is equal to another value\n\n TYPE(dbcsr_scalar_type), INTENT(IN) :: s1, s2\n !! one value\n !! another value\n LOGICAL :: are_equal\n !! whether values are equal\n\n IF (s1%data_type .NE. s2%data_type) THEN\n are_equal = .FALSE.\n ELSE\n SELECT CASE (s1%data_type)\n CASE (dbcsr_type_real_4)\n are_equal = s1%r_sp .EQ. s2%r_sp\n CASE (dbcsr_type_real_8)\n are_equal = s1%r_dp .EQ. s2%r_dp\n CASE (dbcsr_type_complex_4)\n are_equal = s1%c_sp .EQ. s2%c_sp\n CASE (dbcsr_type_complex_8)\n are_equal = s1%c_dp .EQ. s2%c_dp\n CASE default\n are_equal = .FALSE.\n END SELECT\n END IF\n END FUNCTION dbcsr_scalar_are_equal\n\n ELEMENTAL FUNCTION dbcsr_scalar_negative(s) RESULT(negated)\n !! Returns an encapsulated scalar as a negation of the given\n\n TYPE(dbcsr_scalar_type), INTENT(IN) :: s\n !! given value\n TYPE(dbcsr_scalar_type) :: negated\n !! negated value\n\n negated = dbcsr_scalar_zero(s%data_type)\n SELECT CASE (s%data_type)\n CASE (dbcsr_type_real_4)\n negated%r_sp = -s%r_sp\n CASE (dbcsr_type_real_8)\n negated%r_dp = -s%r_dp\n CASE (dbcsr_type_complex_4)\n negated%c_sp = -s%c_sp\n CASE (dbcsr_type_complex_8)\n negated%c_dp = -s%c_dp\n CASE default\n negated = dbcsr_scalar_zero(s%data_type)\n END SELECT\n END FUNCTION dbcsr_scalar_negative\n\n ELEMENTAL FUNCTION dbcsr_scalar_multiply(s1, s2) RESULT(s_product)\n TYPE(dbcsr_scalar_type), INTENT(IN) :: s1, s2\n TYPE(dbcsr_scalar_type) :: s_product\n\n s_product = dbcsr_scalar_zero(s1%data_type)\n SELECT CASE (s1%data_type)\n CASE (dbcsr_type_real_4)\n s_product%r_sp = s1%r_sp*s2%r_sp\n CASE (dbcsr_type_real_8)\n s_product%r_dp = s1%r_dp*s2%r_dp\n CASE (dbcsr_type_complex_4)\n s_product%c_sp = s1%c_sp*s2%c_sp\n CASE (dbcsr_type_complex_8)\n s_product%c_dp = s1%c_dp*s2%c_dp\n CASE default\n s_product = dbcsr_scalar_zero(s1%data_type)\n END SELECT\n END FUNCTION dbcsr_scalar_multiply\n\n ELEMENTAL FUNCTION dbcsr_scalar_get_type(scalar) RESULT(data_type)\n !! Returns data type of a scalar\n\n TYPE(dbcsr_scalar_type), INTENT(IN) :: scalar\n !! scalar\n INTEGER :: data_type\n !! data type of the scalar\n\n data_type = scalar%data_type\n END FUNCTION dbcsr_scalar_get_type\n\n ELEMENTAL SUBROUTINE dbcsr_scalar_set_type(scalar, data_type)\n !! Sets data type of a scalar\n\n TYPE(dbcsr_scalar_type), INTENT(INOUT) :: scalar\n !! scalar\n INTEGER, INTENT(IN) :: data_type\n\n scalar%data_type = data_type\n END SUBROUTINE dbcsr_scalar_set_type\n\n ELEMENTAL SUBROUTINE dbcsr_scalar_fill_all(scalar)\n !! Fills all data and precision types from the set one\n\n TYPE(dbcsr_scalar_type), INTENT(INOUT) :: scalar\n !! data area\n\n SELECT CASE (scalar%data_type)\n CASE (dbcsr_type_real_4)\n !scalar%r_sp = 0\n scalar%r_dp = REAL(scalar%r_sp, KIND=real_8)\n scalar%c_sp = CMPLX(scalar%r_sp, 0, KIND=real_4)\n scalar%c_dp = CMPLX(scalar%r_sp, 0, KIND=real_8)\n CASE (dbcsr_type_real_8)\n scalar%r_sp = REAL(scalar%r_dp, KIND=real_4)\n !scalar%r_dp = REAL(scalar%r_dp, KIND=real_8)\n scalar%c_sp = CMPLX(scalar%r_dp, 0, KIND=real_4)\n scalar%c_dp = CMPLX(scalar%r_dp, 0, KIND=real_8)\n CASE (dbcsr_type_complex_4)\n scalar%r_sp = REAL(scalar%c_sp, KIND=real_4)\n scalar%r_dp = REAL(scalar%c_sp, KIND=real_8)\n !scalar%c_sp = CMPLX(scalar%c_sp, KIND=real_4)\n scalar%c_dp = CMPLX(scalar%c_sp, KIND=real_8)\n CASE (dbcsr_type_complex_8)\n scalar%r_sp = REAL(scalar%c_dp, KIND=real_4)\n scalar%r_dp = REAL(scalar%c_dp, KIND=real_8)\n scalar%c_sp = CMPLX(scalar%c_dp, KIND=real_4)\n !scalar%c_dp = CMPLX(scalar%r_dp, KIND=real_8)\n END SELECT\n END SUBROUTINE dbcsr_scalar_fill_all\n\n PURE FUNCTION dbcsr_type_is_2d(data_type)\n !! Checks whether the data type is 2-D.\n !! \\return Data type is 2-D.\n\n INTEGER, INTENT(IN) :: data_type\n LOGICAL :: dbcsr_type_is_2d\n\n dbcsr_type_is_2d = data_type .EQ. dbcsr_type_real_4_2d .OR. &\n data_type .EQ. dbcsr_type_real_8_2d .OR. &\n data_type .EQ. dbcsr_type_complex_4_2d .OR. &\n data_type .EQ. dbcsr_type_complex_8_2d\n END FUNCTION dbcsr_type_is_2d\n\n PURE FUNCTION dbcsr_type_2d_to_1d(data_type)\n !! Returns 1-d data type corresponding to the given 2-D one.\n !! \\return 1-D data type\n\n INTEGER, INTENT(IN) :: data_type\n INTEGER :: dbcsr_type_2d_to_1d\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4_2d)\n dbcsr_type_2d_to_1d = dbcsr_type_real_4\n CASE (dbcsr_type_real_8_2d)\n dbcsr_type_2d_to_1d = dbcsr_type_real_8\n CASE (dbcsr_type_complex_4_2d)\n dbcsr_type_2d_to_1d = dbcsr_type_complex_4\n CASE (dbcsr_type_complex_8_2d)\n dbcsr_type_2d_to_1d = dbcsr_type_complex_8\n CASE (dbcsr_type_real_4)\n dbcsr_type_2d_to_1d = dbcsr_type_real_4\n CASE (dbcsr_type_real_8)\n dbcsr_type_2d_to_1d = dbcsr_type_real_8\n CASE (dbcsr_type_complex_4)\n dbcsr_type_2d_to_1d = dbcsr_type_complex_4\n CASE (dbcsr_type_complex_8)\n dbcsr_type_2d_to_1d = dbcsr_type_complex_8\n CASE default\n dbcsr_type_2d_to_1d = -1\n END SELECT\n END FUNCTION dbcsr_type_2d_to_1d\n\n PURE FUNCTION dbcsr_type_1d_to_2d(data_type)\n !! Returns 2-D data type corresponding to the given 1-D one.\n !! \\return 2-D data type\n\n INTEGER, INTENT(IN) :: data_type\n INTEGER :: dbcsr_type_1d_to_2d\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n dbcsr_type_1d_to_2d = dbcsr_type_real_4_2d\n CASE (dbcsr_type_real_8)\n dbcsr_type_1d_to_2d = dbcsr_type_real_8_2d\n CASE (dbcsr_type_complex_4)\n dbcsr_type_1d_to_2d = dbcsr_type_complex_4_2d\n CASE (dbcsr_type_complex_8)\n dbcsr_type_1d_to_2d = dbcsr_type_complex_8_2d\n CASE (dbcsr_type_real_4_2d)\n dbcsr_type_1d_to_2d = dbcsr_type_real_4_2d\n CASE (dbcsr_type_real_8_2d)\n dbcsr_type_1d_to_2d = dbcsr_type_real_8_2d\n CASE (dbcsr_type_complex_4_2d)\n dbcsr_type_1d_to_2d = dbcsr_type_complex_4_2d\n CASE (dbcsr_type_complex_8_2d)\n dbcsr_type_1d_to_2d = dbcsr_type_complex_8_2d\n CASE default\n dbcsr_type_1d_to_2d = -1\n END SELECT\n END FUNCTION dbcsr_type_1d_to_2d\n\n PURE FUNCTION dbcsr_data_get_size_referenced(area) RESULT(data_size_referenced)\n !! Get actual data storage used for matrix\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! Count data of this matrix\n INTEGER :: data_size_referenced\n !! Data size used by matrix\n\n IF (ASSOCIATED(area%d)) THEN\n data_size_referenced = area%d%ref_size\n ELSE\n data_size_referenced = 0\n END IF\n END FUNCTION dbcsr_data_get_size_referenced\n\n PURE SUBROUTINE dbcsr_data_set_size_referenced(data_area, referenced_size)\n !! Sets the referenced size of the data area\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: data_area\n !! area for which to set referenced data size\n INTEGER, INTENT(IN) :: referenced_size\n !! set referenced data size to this value\n\n data_area%d%ref_size = referenced_size\n END SUBROUTINE dbcsr_data_set_size_referenced\n\n! **************************************************************************************************\n\n #:include 'dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n SUBROUTINE set_data_p_${nametype1}$ (area, p)\n !! Sets a data pointer.\n !!\n !! Assumptions\n !! Assumes that no memory will be lost when repointing the\n !! pointer in the data area and that the area is initialized.\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! target data area\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: p\n !! source data pointer\n\n IF (area%d%data_type /= ${dkind1}$) &\n DBCSR_ABORT(\"set_data_p_${nametype1}$: data-area has wrong type\")\n\n area%d%${base1}$_${prec1}$ => p\n END SUBROUTINE set_data_p_${nametype1}$\n\n SUBROUTINE set_data_p_2d_${nametype1}$ (area, p)\n !! Sets a data pointer.\n !!\n !! Assumptions\n !! Assumes that no memory will be lost when repointing the\n !! pointer in the data area and that the area is initialized.\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: area\n !! target data area\n ${type1}$, DIMENSION(:, :), POINTER :: p\n !! source data pointer\n\n IF (area%d%data_type /= ${dkind1}$_2d) &\n DBCSR_ABORT(\"set_data_p_2d_${nametype1}$: data-area has wrong type\")\n\n area%d%${base1}$2_${prec1}$ => p\n END SUBROUTINE set_data_p_2d_${nametype1}$\n\n FUNCTION dbcsr_get_data_c_${nametype1}$ (area, select_data_type, lb, ub) RESULT(DATA)\n !! Returns the single/double precision real/complex data\n !!\n !! Calling\n !! This routine is hidden behind the dbcsr_get_data interface, hence the\n !! need for the select_data_type argument.\n !! see dbcsr_get_data_p_${nametype1}$\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n ${type1}$, INTENT(IN) :: select_data_type\n !! force datatype\n INTEGER, INTENT(IN), OPTIONAL :: lb, ub\n !! lower bound for pointer\n !! upper bound for pointer\n ${type1}$, DIMENSION(:), POINTER :: DATA\n !! pointer to data\n\n INTEGER :: l, u\n\n! ---------------------------------------------------------------------------\n\n ! The select_data_type argument is needed to make this function unique\n ! enough to use in the interface.\n IF (KIND(select_data_type) .NE. KIND(DATA)) &\n DBCSR_ABORT(\"compiler borken\")\n\n IF (ASSOCIATED(area%d)) THEN\n IF (area%d%data_type /= ${dkind1}$) &\n DBCSR_ABORT(\"dbcsr_get_data_c_${nametype1}$: data-area has wrong type\")\n IF (PRESENT(lb) .OR. PRESENT(ub)) THEN\n l = LBOUND(area%d%${base1}$_${prec1}$, 1)\n IF (PRESENT(lb)) l = lb\n u = UBOUND(area%d%${base1}$_${prec1}$, 1)\n IF (PRESENT(ub)) u = ub\n IF (debug_mod) THEN\n IF (l .LT. LBOUND(area%d%${base1}$_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (u .GT. UBOUND(area%d%${base1}$_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n END IF\n DATA => area%d%${base1}$_${prec1}$ (l:u)\n ELSE\n DATA => area%d%${base1}$_${prec1}$\n END IF\n ELSE\n NULLIFY (DATA)\n END IF\n END FUNCTION dbcsr_get_data_c_${nametype1}$\n\n FUNCTION dbcsr_get_data_p_${nametype1}$ (area, lb, ub) RESULT(DATA)\n !! Returns the single/double precision real/complex data\n !! \\brief dbcsr_get_data_c_${nametype1}$\n !!\n !! Calling\n !! This routine can be called explicitly.\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: DATA\n !! pointer to data\n INTEGER, INTENT(IN), OPTIONAL :: lb, ub\n !! lower bound for pointer\n !! upper bound for pointer\n\n INTEGER :: l, u\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(area%d)) THEN\n IF (area%d%data_type /= ${dkind1}$) &\n DBCSR_ABORT(\"dbcsr_get_data_p_${nametype1}$: data-area has wrong type\")\n IF (PRESENT(lb) .OR. PRESENT(ub)) THEN\n l = LBOUND(area%d%${base1}$_${prec1}$, 1)\n IF (PRESENT(lb)) l = lb\n u = UBOUND(area%d%${base1}$_${prec1}$, 1)\n IF (PRESENT(ub)) u = ub\n IF (debug_mod) THEN\n IF (l .LT. LBOUND(area%d%${base1}$_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (u .GT. UBOUND(area%d%${base1}$_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n END IF\n DATA => area%d%${base1}$_${prec1}$ (l:u)\n ELSE\n DATA => area%d%${base1}$_${prec1}$\n END IF\n ELSE\n NULLIFY (DATA)\n END IF\n END FUNCTION dbcsr_get_data_p_${nametype1}$\n\n FUNCTION dbcsr_get_data_p_2d_${nametype1}$ (area, lb, ub) RESULT(DATA)\n !! Returns the single/double precision real/complex data\n !! \\brief dbcsr_get_data_c_${nametype1}$\n !!\n !! Calling\n !! This routine can be called explicitly.\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n ${type1}$, DIMENSION(:, :), POINTER :: DATA\n !! pointer to data\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: lb, ub\n !! lower bound for pointer\n !! upper bound for pointer\n\n INTEGER, DIMENSION(2) :: l, u\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(area%d)) THEN\n IF (area%d%data_type /= ${dkind1}$_2d) &\n DBCSR_ABORT(\"dbcsr_get_data_p_2d_${nametype1}$: data-area has wrong type\")\n IF (PRESENT(lb) .OR. PRESENT(ub)) THEN\n l = LBOUND(area%d%${base1}$2_${prec1}$)\n IF (PRESENT(lb)) l = lb\n u = UBOUND(area%d%${base1}$2_${prec1}$)\n IF (PRESENT(ub)) u = ub\n IF (debug_mod) THEN\n IF (l(1) .LT. LBOUND(area%d%${base1}$2_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (l(2) .LT. LBOUND(area%d%${base1}$2_${prec1}$, 2)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (u(1) .GT. UBOUND(area%d%${base1}$2_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (u(2) .GT. UBOUND(area%d%${base1}$2_${prec1}$, 2)) &\n DBCSR_ABORT(\"Out of bounds\")\n END IF\n DATA => area%d%${base1}$2_${prec1}$ (l(1):u(1), l(2):u(2))\n ELSE\n DATA => area%d%${base1}$2_${prec1}$\n END IF\n ELSE\n NULLIFY (DATA)\n END IF\n END FUNCTION dbcsr_get_data_p_2d_${nametype1}$\n\n SUBROUTINE get_data_${nametype1}$ (area, DATA, lb, ub)\n !! Returns the single/double precision real/complex data\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n ${type1}$, DIMENSION(:), POINTER :: DATA\n !! pointer to data\n INTEGER, INTENT(IN), OPTIONAL :: lb, ub\n !! lower bound for pointer\n !! upper bound for pointer\n\n INTEGER :: l, u\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(area%d)) THEN\n IF (area%d%data_type /= ${dkind1}$) &\n DBCSR_ABORT(\"get_data_${nametype1}$: data-area has wrong type\")\n IF (PRESENT(lb) .OR. PRESENT(ub)) THEN\n l = LBOUND(area%d%${base1}$_${prec1}$, 1)\n IF (PRESENT(lb)) l = lb\n u = UBOUND(area%d%${base1}$_${prec1}$, 1)\n IF (PRESENT(ub)) u = ub\n IF (debug_mod) THEN\n IF (l < LBOUND(area%d%${base1}$_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (u > UBOUND(area%d%${base1}$_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n END IF\n DATA => area%d%${base1}$_${prec1}$ (l:u)\n ELSE\n DATA => area%d%${base1}$_${prec1}$\n END IF\n ELSE\n NULLIFY (DATA)\n END IF\n END SUBROUTINE get_data_${nametype1}$\n\n SUBROUTINE get_data_2d_${nametype1}$ (area, DATA, lb, ub)\n !! Returns the single/double precision real/complex data\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! data area\n ${type1}$, DIMENSION(:, :), POINTER :: DATA\n !! pointer to data\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: lb, ub\n !! lower bound for pointer\n !! upper bound for pointer\n\n INTEGER, DIMENSION(2) :: l, u\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(area%d)) THEN\n IF (area%d%data_type /= ${dkind1}$_2d) &\n DBCSR_ABORT(\"get_data_2d_${nametype1}$: data-area has wrong type\")\n IF (PRESENT(lb) .OR. PRESENT(ub)) THEN\n l = LBOUND(area%d%${base1}$2_${prec1}$)\n IF (PRESENT(lb)) l = lb\n u = UBOUND(area%d%${base1}$2_${prec1}$)\n IF (PRESENT(ub)) u = ub\n IF (debug_mod) THEN\n IF (l(1) < LBOUND(area%d%${base1}$2_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (l(2) < LBOUND(area%d%${base1}$2_${prec1}$, 2)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (u(1) > UBOUND(area%d%${base1}$2_${prec1}$, 1)) &\n DBCSR_ABORT(\"Out of bounds\")\n IF (u(2) > UBOUND(area%d%${base1}$2_${prec1}$, 2)) &\n DBCSR_ABORT(\"Out of bounds\")\n END IF\n DATA => area%d%${base1}$2_${prec1}$ (l(1):u(1), l(2):u(2))\n ELSE\n DATA => area%d%${base1}$2_${prec1}$\n END IF\n ELSE\n NULLIFY (DATA)\n END IF\n END SUBROUTINE get_data_2d_${nametype1}$\n\n ELEMENTAL FUNCTION dbcsr_scalar_${nametype1}$ (scalar) RESULT(encapsulated_scalar)\n !! Sets a scalar in an encapsulated data structure\n\n ${type1}$, INTENT(IN) :: scalar\n !! scalar to encapsulate\n TYPE(dbcsr_scalar_type) :: encapsulated_scalar\n !! encapsulated scalar\n\n encapsulated_scalar = dbcsr_scalar_zero(${dkind1}$)\n encapsulated_scalar%${base1}$_${prec1}$ = scalar\n END FUNCTION dbcsr_scalar_${nametype1}$\n\n ELEMENTAL SUBROUTINE dbcsr_scalar_get_value_${nametype1}$ (encapsulated_scalar, value)\n !! Sets a scalar in an encapsulated data structure\n\n TYPE(dbcsr_scalar_type), INTENT(IN) :: encapsulated_scalar\n !! encapsulated scalar\n ${type1}$, INTENT(OUT) :: value\n !! value of the scalar\n\n value = encapsulated_scalar%${base1}$_${prec1}$\n END SUBROUTINE dbcsr_scalar_get_value_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_data_methods_low\n" }, { "path": "src/data/dbcsr_data_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_data_operations\n !! DBCSR data operations\n\n USE dbcsr_block_operations, ONLY: dbcsr_block_transpose, &\n dbcsr_data_copy, &\n dbcsr_data_set\n USE dbcsr_data_methods, ONLY: dbcsr_data_get_size, &\n dbcsr_data_get_size_referenced, &\n dbcsr_data_hold, &\n dbcsr_data_release, &\n dbcsr_data_set_size_referenced, &\n dbcsr_get_data\n USE dbcsr_dist_util, ONLY: sgn\n USE dbcsr_kinds, ONLY: real_4, &\n real_8\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_type, &\n dbcsr_type_complex_4, &\n dbcsr_type_complex_8, &\n dbcsr_type_real_4, &\n dbcsr_type_real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_data_operations'\n\n PUBLIC :: dbcsr_data_copyall, dbcsr_data_convert, &\n dbcsr_copy_sort_data, &\n dbcsr_sort_data\n PUBLIC :: dbcsr_switch_data_area\n\nCONTAINS\n\n SUBROUTINE dbcsr_switch_data_area(matrix, data_area, previous_data_area)\n !! Sets the data area of a matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix for which to set the data area\n TYPE(dbcsr_data_obj), INTENT(IN) :: data_area\n !! data area to set\n TYPE(dbcsr_data_obj), INTENT(OUT), OPTIONAL :: previous_data_area\n !! previous data area\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_switch_data_area'\n\n INTEGER :: handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (PRESENT(previous_data_area)) THEN\n previous_data_area = matrix%data_area\n ELSE\n CALL dbcsr_data_release(matrix%data_area)\n END IF\n matrix%data_area = data_area\n CALL dbcsr_data_hold(matrix%data_area)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_switch_data_area\n\n SUBROUTINE dbcsr_data_copyall(target_area, source_area, shallow)\n !! Copies a data area, deep by default.\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: target_area\n !! target data area\n TYPE(dbcsr_data_obj), INTENT(IN) :: source_area\n !! source data area\n LOGICAL, INTENT(IN), OPTIONAL :: shallow\n !! shallow copy (default is deep)\n\n INTEGER :: i, n\n LOGICAL :: shallow_copy\n\n! ---------------------------------------------------------------------------\n\n IF (.NOT. ASSOCIATED(source_area%d)) &\n DBCSR_ABORT(\"Attempt to copy unassigned data\")\n IF (source_area%d%refcount .LE. 0) &\n DBCSR_WARN(\"Attempt to copy unheld data\")\n shallow_copy = .FALSE.\n IF (PRESENT(shallow)) shallow_copy = shallow\n IF (shallow_copy) THEN\n target_area = source_area\n CALL dbcsr_data_hold(target_area)\n ELSE\n IF (.NOT. ASSOCIATED(target_area%d)) &\n DBCSR_ABORT(\"Target area does not exist.\")\n CALL dbcsr_data_set_size_referenced(target_area, &\n dbcsr_data_get_size_referenced(source_area))\n n = dbcsr_data_get_size_referenced(source_area)\n SELECT CASE (target_area%d%data_type)\n CASE (dbcsr_type_real_4)\n!$OMP PARALLEL DO DEFAULT(NONE) PRIVATE(I) SHARED(target_area,source_area,n)\n DO i = 1, n\n target_area%d%r_sp(i) = source_area%d%r_sp(i)\n END DO\n CASE (dbcsr_type_real_8)\n!$OMP PARALLEL DO DEFAULT(NONE) PRIVATE(I) SHARED(target_area,source_area,n)\n DO i = 1, n\n target_area%d%r_dp(i) = source_area%d%r_dp(i)\n END DO\n CASE (dbcsr_type_complex_4)\n!$OMP PARALLEL DO DEFAULT(NONE) PRIVATE(I) SHARED(target_area,source_area,n)\n DO i = 1, n\n target_area%d%c_sp(i) = source_area%d%c_sp(i)\n END DO\n CASE (dbcsr_type_complex_8)\n!$OMP PARALLEL DO DEFAULT(NONE) PRIVATE(I) SHARED(target_area,source_area,n)\n DO i = 1, n\n target_area%d%c_dp(i) = source_area%d%c_dp(i)\n END DO\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n END IF\n! CALL timestop(error_handle)\n END SUBROUTINE dbcsr_data_copyall\n\n SUBROUTINE dbcsr_data_convert(target_area, source_area, drop_real, &\n multiply_by_i)\n !! Copies a data area, converting data type\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: target_area\n !! target data area\n TYPE(dbcsr_data_obj), INTENT(IN) :: source_area\n !! source data area\n LOGICAL, INTENT(IN), OPTIONAL :: drop_real, multiply_by_i\n !! drops real part of complex numbers instead of the imaginary part; default is false\n !! converts real to complex by placing into imaginary instead of real part\n\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER, CONTIGUOUS :: s_data_c, t_data_c\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER, CONTIGUOUS :: s_data_z, t_data_z\n INTEGER :: n, ns, nt\n LOGICAL :: keep_real, noimult\n REAL(KIND=real_4), DIMENSION(:), POINTER, CONTIGUOUS :: s_data_r, t_data_r\n REAL(KIND=real_8), DIMENSION(:), POINTER, CONTIGUOUS :: s_data_d, t_data_d\n\n! ---------------------------------------------------------------------------\n\n IF (.NOT. ASSOCIATED(source_area%d)) &\n DBCSR_WARN(\"Attempt to copy unassigned data\")\n IF (source_area%d%refcount .LE. 0) &\n DBCSR_WARN(\"Attempt to copy unheld data\")\n IF (.NOT. ASSOCIATED(source_area%d)) THEN\n RETURN\n END IF\n keep_real = .TRUE.\n IF (PRESENT(drop_real)) keep_real = .NOT. drop_real\n noimult = .TRUE.\n IF (PRESENT(multiply_by_i)) noimult = .NOT. multiply_by_i\n ns = dbcsr_data_get_size_referenced(source_area)\n nt = dbcsr_data_get_size_referenced(target_area)\n n = MIN(ns, nt)\n IF (n .GT. 0) THEN\n SELECT CASE (source_area%d%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_get_data(source_area, s_data_d)\n SELECT CASE (target_area%d%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_get_data(target_area, t_data_d)\n t_data_d(1:n) = s_data_d(1:n)\n CASE (dbcsr_type_real_4)\n CALL dbcsr_get_data(target_area, t_data_r)\n t_data_r(1:n) = REAL(s_data_d(1:n), KIND=real_4)\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_get_data(target_area, t_data_z)\n IF (noimult) THEN\n t_data_z(1:n) = CMPLX(s_data_d(1:n), KIND=real_8)\n ELSE\n t_data_z(1:n) = CMPLX(0.0, s_data_d(1:n), KIND=real_8)\n END IF\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_get_data(target_area, t_data_c)\n IF (noimult) THEN\n t_data_c(1:n) = CMPLX(s_data_d(1:n), KIND=real_4)\n ELSE\n t_data_c(1:n) = CMPLX(0.0, s_data_d(1:n), KIND=real_4)\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CASE (dbcsr_type_real_4)\n CALL dbcsr_get_data(source_area, s_data_r)\n SELECT CASE (target_area%d%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_get_data(target_area, t_data_d)\n t_data_d(1:n) = REAL(s_data_r(1:n), KIND=real_8)\n CASE (dbcsr_type_real_4)\n CALL dbcsr_get_data(target_area, t_data_r)\n t_data_r(1:n) = s_data_r(1:n)\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_get_data(target_area, t_data_z)\n IF (noimult) THEN\n t_data_z(1:n) = CMPLX(s_data_r(1:n), KIND=real_8)\n ELSE\n t_data_z(1:n) = CMPLX(0.0, s_data_r(1:n), KIND=real_8)\n END IF\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_get_data(target_area, t_data_c)\n IF (noimult) THEN\n t_data_c(1:n) = CMPLX(s_data_r(1:n), KIND=real_4)\n ELSE\n t_data_c(1:n) = CMPLX(0.0, s_data_r(1:n), KIND=real_4)\n END IF\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_get_data(source_area, s_data_z)\n SELECT CASE (target_area%d%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_get_data(target_area, t_data_d)\n IF (keep_real) THEN\n t_data_d(1:n) = REAL(s_data_z(1:n), KIND=real_8)\n ELSE\n t_data_d(1:n) = AIMAG(s_data_z(1:n))\n END IF\n CASE (dbcsr_type_real_4)\n CALL dbcsr_get_data(target_area, t_data_r)\n IF (keep_real) THEN\n t_data_r(1:n) = REAL(s_data_z(1:n), KIND=real_4)\n ELSE\n t_data_r(1:n) = REAL(AIMAG(s_data_z(1:n)), KIND=real_4)\n END IF\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_get_data(target_area, t_data_z)\n t_data_z(1:n) = s_data_z(1:n)\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_get_data(target_area, t_data_c)\n t_data_c(1:n) = CMPLX(s_data_z(1:n), KIND=real_4)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_get_data(source_area, s_data_c)\n SELECT CASE (target_area%d%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_get_data(target_area, t_data_d)\n IF (keep_real) THEN\n t_data_d(1:n) = REAL(s_data_c(1:n), KIND=real_8)\n ELSE\n t_data_d(1:n) = REAL(AIMAG(s_data_c(1:n)), KIND=real_8)\n END IF\n CASE (dbcsr_type_real_4)\n CALL dbcsr_get_data(target_area, t_data_r)\n IF (keep_real) THEN\n t_data_r(1:n) = REAL(s_data_c(1:n), KIND=real_4)\n ELSE\n t_data_r(1:n) = AIMAG(s_data_c(1:n))\n END IF\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_get_data(target_area, t_data_z)\n t_data_z(1:n) = CMPLX(s_data_c(1:n), KIND=real_8)\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_get_data(target_area, t_data_c)\n t_data_c(1:n) = s_data_c(1:n)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n END IF\n END SUBROUTINE dbcsr_data_convert\n\n SUBROUTINE dbcsr_copy_sort_data(blk_p, old_blk_p, row_p, col_i, rbs, cbs, &\n dst, src, mark_transposed, transpose_blocks)\n !! Sorts the data in a matrix so that the data blocks follow\n !! sequentially and does various transposing options.\n !! As opposed to dbcsr_sort_data, this routine calculates block sizes\n\n INTEGER, DIMENSION(:), INTENT(INOUT) :: blk_p\n !! re-arranged block pointers reflecting the new data order\n INTEGER, DIMENSION(:), INTENT(IN) :: old_blk_p, row_p, col_i, rbs, cbs\n !! current block pointers\n !! index\n !! index\n !! sizes of the blocked rows\n !! sizes of the blocked columns\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dst\n !! sorted data\n TYPE(dbcsr_data_obj), INTENT(IN) :: src\n !! existing unordered data\n LOGICAL, INTENT(IN), OPTIONAL :: mark_transposed, transpose_blocks\n !! mark data as transposed by negating the blk_p index entries\n !! transpose data blocks\n\n INTEGER :: blk, col_size, nblks, nrows, nze, &\n nze_prev, row, row_size\n LOGICAL :: mark, trb\n\n! ---------------------------------------------------------------------------\n! Analyze parameters\n\n mark = .FALSE.\n IF (PRESENT(mark_transposed)) mark = mark_transposed\n trb = .FALSE.\n IF (PRESENT(transpose_blocks)) trb = transpose_blocks\n !\n nblks = SIZE(old_blk_p)\n nrows = SIZE(row_p) - 1\n IF (SIZE(blk_p) < nblks) &\n DBCSR_ABORT('Destination blk_p too small.')\n IF (nblks .GE. 1) &\n blk_p(1) = SGN(1, old_blk_p(1), mark)\n nze_prev = 0\n DO row = 1, nrows\n row_size = rbs(row)\n DO blk = row_p(row) + 1, row_p(row + 1)\n IF (old_blk_p(blk) .NE. 0) THEN\n col_size = cbs(col_i(blk))\n nze = row_size*col_size\n IF (blk .GT. 1) THEN\n blk_p(blk) = SGN(ABS(blk_p(blk - 1)) + nze_prev, old_blk_p(blk), &\n mark)\n END IF\n IF (ABS(blk_p(blk)) + nze - 1 > dbcsr_data_get_size(dst)) &\n DBCSR_ABORT('Destination data space is too small.')\n IF (.NOT. trb) THEN\n CALL dbcsr_data_copy(dst=dst, dst_lb=(/ABS(blk_p(blk))/), &\n dst_sizes=(/nze/), &\n src=src, src_lb=(/ABS(old_blk_p(blk))/), &\n src_sizes=(/nze/))\n !CALL dbcsr_data_set (dst, ABS(blk_p(blk)), nze,&\n ! src, source_lb=ABS(old_blk_p(blk)))\n ELSE\n CALL dbcsr_block_transpose(dst, src, &\n col_size, row_size, &\n lb=ABS(blk_p(blk)), source_lb=ABS(old_blk_p(blk)))\n END IF\n nze_prev = nze\n END IF ! blk exists\n END DO ! blk\n END DO ! row\n END SUBROUTINE dbcsr_copy_sort_data\n\n SUBROUTINE dbcsr_sort_data(blk_p, old_blk_p, sizes, dsts, src, &\n srcs, old_blk_d)\n !! Sorts the data in a matrix so that the data blocks follow\n !! sequentially.\n\n INTEGER, DIMENSION(:), INTENT(INOUT) :: blk_p\n !! re-arranged block pointers reflecting the new data order\n INTEGER, DIMENSION(:), INTENT(IN) :: old_blk_p, sizes\n !! current block pointers\n !! sizes of the data blocks\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dsts\n !! sorted data\n TYPE(dbcsr_data_obj), INTENT(IN) :: src\n !! existing unordered data\n TYPE(dbcsr_data_obj), DIMENSION(:), INTENT(IN), &\n OPTIONAL :: srcs\n !! multiple source areas\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: old_blk_d\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_sort_data'\n\n INTEGER :: handle, i, nblks\n LOGICAL :: multidata\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n multidata = PRESENT(srcs) .AND. PRESENT(old_blk_d)\n nblks = SIZE(old_blk_p)\n IF (nblks .GT. 0) THEN\n!$OMP BARRIER\n!$OMP MASTER\n blk_p(1) = SIGN(1, old_blk_p(1))\n DO i = 2, nblks\n blk_p(i) = SIGN(ABS(blk_p(i - 1)) + sizes(i - 1), old_blk_p(i))\n END DO\n CALL dbcsr_data_set_size_referenced(dsts, &\n ABS(blk_p(nblks)) + sizes(nblks) - 1)\n!$OMP END MASTER\n!$OMP BARRIER\n!$OMP DO\n DO i = 1, nblks\n IF (old_blk_p(i) .NE. 0) THEN\n IF (.NOT. multidata) THEN\n CALL dbcsr_data_set(dsts, &\n ABS(blk_p(i)), sizes(i), &\n src, source_lb=ABS(old_blk_p(i)))\n !dst(ABS(blk_p(i)):ABS(blk_p(i))+sizes(i)-1) =&\n ! src(ABS(old_blk_p(i)):ABS(old_blk_p(i))+sizes(i)-1)\n ELSE\n CALL dbcsr_data_set(dsts, &\n ABS(blk_p(i)), sizes(i), &\n srcs(old_blk_d(i)), source_lb=ABS(old_blk_p(i)))\n !dst(ABS(blk_p(i)):ABS(blk_p(i))+sizes(i)-1) =&\n ! srcs(old_blk_d(i))%d&\n ! %r_dp(ABS(old_blk_p(i)):ABS(old_blk_p(i))+sizes(i)-1)\n END IF\n END IF\n END DO\n!$OMP END DO NOWAIT\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_sort_data\n\nEND MODULE dbcsr_data_operations\n" }, { "path": "src/data/dbcsr_data_types.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_data_types\n !! Types related to DBCSR data area\n USE dbcsr_acc_devmem, ONLY: acc_devmem_type\n USE dbcsr_acc_event, ONLY: acc_event_type\n USE dbcsr_acc_stream, ONLY: acc_stream_type\n USE dbcsr_kinds, ONLY: &\n dp, int_4, int_4_size, int_8, int_8_size, real_4, real_4_size, real_8, real_8_size\n\n!$ USE OMP_LIB, ONLY: omp_lock_kind\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_data_types'\n\n PUBLIC :: dbcsr_data_obj, dbcsr_data_area_type, dbcsr_scalar_type\n PUBLIC :: dbcsr_datatype_sizeof\n PUBLIC :: dbcsr_mempool_type, &\n dbcsr_mempool_entry_type, &\n dbcsr_memtype_type, &\n dbcsr_memtype_default\n PUBLIC :: dbcsr_type_real_4, dbcsr_type_real_8, &\n dbcsr_type_complex_4, dbcsr_type_complex_8, &\n dbcsr_type_real_default, dbcsr_type_complex_default, &\n dbcsr_type_real_4_2d, dbcsr_type_real_8_2d, &\n dbcsr_type_complex_4_2d, dbcsr_type_complex_8_2d, &\n dbcsr_type_int_4, dbcsr_type_int_8\n\n TYPE dbcsr_scalar_type\n !! Stores a scalar in any of the supported data types.\n !!\n !! Reasoning\n !! Easier routine interfaces\n\n REAL(KIND=real_4) :: r_sp = -1.0_real_4\n !! stores real values in single precision\n REAL(KIND=real_8) :: r_dp = -1.0_real_8\n !! stores real values in double precision\n COMPLEX(KIND=real_4) :: c_sp = (-1.0_real_4, -1.0_real_4)\n !! stores complex values in single precision\n COMPLEX(KIND=real_8) :: c_dp = (-1.0_real_8, -1.0_real_8)\n !! stores complex values in double precision\n INTEGER :: data_type = -1\n !! which of the data types is actually used\n END TYPE dbcsr_scalar_type\n\n TYPE dbcsr_data_obj\n TYPE(dbcsr_data_area_type), POINTER :: d => Null()\n END TYPE dbcsr_data_obj\n\n TYPE dbcsr_mempool_type\n !! Memory related types\n TYPE(dbcsr_mempool_entry_type), POINTER :: root => Null()\n INTEGER :: capacity = 1\n!$ INTEGER(KIND=omp_lock_kind) :: lock = -1_omp_lock_kind\n END TYPE dbcsr_mempool_type\n\n TYPE dbcsr_mempool_entry_type\n TYPE(dbcsr_data_obj) :: area = dbcsr_data_obj()\n TYPE(dbcsr_mempool_entry_type), POINTER :: next => Null()\n END TYPE dbcsr_mempool_entry_type\n\n TYPE dbcsr_memtype_type\n LOGICAL :: mpi = .FALSE.\n LOGICAL :: acc_hostalloc = .FALSE.\n LOGICAL :: acc_devalloc = .FALSE.\n TYPE(acc_stream_type) :: acc_stream = acc_stream_type()\n TYPE(dbcsr_mempool_type), POINTER :: pool => Null()\n REAL(KIND=dp) :: oversize_factor = 1.0\n END TYPE dbcsr_memtype_type\n\n !providing pool=Null() explicitly to circumvent bug in ifort 12.1\n TYPE(dbcsr_memtype_type), PARAMETER :: dbcsr_memtype_default = dbcsr_memtype_type(pool=Null())\n\n TYPE dbcsr_data_area_type\n !! Stores actual data\n\n INTEGER(KIND=int_4), DIMENSION(:), POINTER, CONTIGUOUS :: i4 => Null()\n INTEGER(KIND=int_8), DIMENSION(:), POINTER, CONTIGUOUS :: i8 => Null()\n REAL(KIND=real_4), DIMENSION(:), POINTER, CONTIGUOUS :: r_sp => Null()\n !! stores real values in single precision\n REAL(KIND=real_8), DIMENSION(:), POINTER, CONTIGUOUS :: r_dp => Null()\n !! stores real values in double precision\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER, CONTIGUOUS :: c_sp => Null()\n !! stores complex values in single precision\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER, CONTIGUOUS :: c_dp => Null()\n !! stores complex values in double precision\n REAL(KIND=real_4), DIMENSION(:, :), POINTER :: r2_sp => Null()\n REAL(KIND=real_8), DIMENSION(:, :), POINTER :: r2_dp => Null()\n COMPLEX(KIND=real_4), DIMENSION(:, :), POINTER :: c2_sp => Null()\n COMPLEX(KIND=real_8), DIMENSION(:, :), POINTER :: c2_dp => Null()\n INTEGER :: ref_size = -1\n !! last data element in array actually referenced\n INTEGER :: refcount = -1\n !! reference counter for current structure\n INTEGER :: id = -1\n TYPE(dbcsr_memtype_type) :: memory_type = dbcsr_memtype_default\n !! type of memory where data lives\n INTEGER :: data_type = -1\n !! which of the data types is actually used\n TYPE(acc_devmem_type) :: acc_devmem = acc_devmem_type()\n TYPE(acc_event_type) :: acc_ready = acc_event_type()\n END TYPE dbcsr_data_area_type\n\n ! Type definitions:\n ! * bit 0: always 1\n ! * bit 1: single (0: 4) vs. double (1: 1)\n ! * bit 2: real (0) vs. complex (1)\n ! * bit 3: dimension (0: 1, 1: 2)\n ! * bit 4: floating point (0) or integer type (1)\n INTEGER, PARAMETER :: dbcsr_type_real_4 = 1 !001\n INTEGER, PARAMETER :: dbcsr_type_real_8 = 3 !011\n INTEGER, PARAMETER :: dbcsr_type_complex_4 = 5 !101\n INTEGER, PARAMETER :: dbcsr_type_complex_8 = 7 !111\n\n INTEGER, PARAMETER :: dbcsr_type_real_4_2d = 9 !1001\n INTEGER, PARAMETER :: dbcsr_type_real_8_2d = 11 !1011\n INTEGER, PARAMETER :: dbcsr_type_complex_4_2d = 13 !1101\n INTEGER, PARAMETER :: dbcsr_type_complex_8_2d = 15 !1111\n\n INTEGER, PARAMETER :: dbcsr_type_int_4 = 17 !10001\n INTEGER, PARAMETER :: dbcsr_type_int_8 = 19 !10011\n\n INTEGER, PARAMETER :: dbcsr_type_real_default = dbcsr_type_real_8\n INTEGER, PARAMETER :: dbcsr_type_complex_default = dbcsr_type_complex_8\n\nCONTAINS\n\n FUNCTION dbcsr_datatype_sizeof(datatype) RESULT(size)\n !! Helper-routine, returns size of given datatype in terms of bytes.\n INTEGER, INTENT(IN) :: datatype\n INTEGER :: size\n\n size = 0\n SELECT CASE (datatype)\n CASE (dbcsr_type_int_4)\n size = int_4_size\n CASE (dbcsr_type_int_8)\n size = int_8_size\n CASE (dbcsr_type_real_4)\n size = real_4_size\n CASE (dbcsr_type_real_8)\n size = real_8_size\n CASE (dbcsr_type_complex_4)\n size = (2*real_4_size)\n CASE (dbcsr_type_complex_8)\n size = (2*real_8_size)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n END FUNCTION dbcsr_datatype_sizeof\n\nEND MODULE dbcsr_data_types\n" }, { "path": "src/data/dbcsr_mem_methods.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mem_methods\n !! DBCSR Memory Pool to avoid slow allocations of accelerator memory\n\n USE dbcsr_acc_stream, ONLY: acc_stream_associated, &\n acc_stream_equal, &\n acc_stream_type\n USE dbcsr_data_methods_low, ONLY: dbcsr_data_exists, &\n dbcsr_data_get_size, &\n internal_data_deallocate\n USE dbcsr_data_types, ONLY: dbcsr_data_obj, &\n dbcsr_mempool_entry_type, &\n dbcsr_mempool_type, &\n dbcsr_memtype_type\n USE dbcsr_kinds, ONLY: dp\n\n!$ USE OMP_LIB, ONLY: omp_set_lock, omp_unset_lock, omp_init_lock, omp_destroy_lock\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mem_methods'\n\n PUBLIC :: dbcsr_mempool_get, dbcsr_mempool_add, dbcsr_mempool_limit_capacity\n PUBLIC :: dbcsr_mempool_destruct, dbcsr_mempool_clear\n PUBLIC :: dbcsr_memtype_setup, dbcsr_memtype_equal\n\nCONTAINS\n\n SUBROUTINE dbcsr_mempool_create(pool)\n !! Creates a memory pool.\n TYPE(dbcsr_mempool_type), POINTER :: pool\n\n IF (ASSOCIATED(pool)) DBCSR_ABORT(\"pool already allocated\")\n ALLOCATE (pool)\n!$ CALL OMP_INIT_LOCK(pool%lock)\n ALLOCATE (pool%root) !root always allocated, but unused. Simplifies looping.\n END SUBROUTINE dbcsr_mempool_create\n\n SUBROUTINE dbcsr_mempool_limit_capacity(pool, capacity)\n !! Ensures that mempool has at least the given capacity.\n TYPE(dbcsr_mempool_type), POINTER :: pool\n INTEGER, INTENT(IN) :: capacity\n\n IF (.NOT. ASSOCIATED(pool)) RETURN\n!$ CALL OMP_SET_LOCK(pool%lock)\n pool%capacity = MAX(pool%capacity, capacity)\n!$ CALL OMP_UNSET_LOCK(pool%lock)\n\n END SUBROUTINE dbcsr_mempool_limit_capacity\n\n FUNCTION dbcsr_mempool_get(memtype, datatype, datasize) RESULT(res)\n !! Picks a suitable data_area from mempool, returns Null() if none found.\n TYPE(dbcsr_memtype_type) :: memtype\n INTEGER, INTENT(IN) :: datatype, datasize\n TYPE(dbcsr_data_obj) :: res\n\n INTEGER :: best_size, s\n TYPE(dbcsr_mempool_entry_type), POINTER :: best_cur, best_prev, cur, prev\n TYPE(dbcsr_mempool_type), POINTER :: pool\n\n pool => memtype%pool\n IF (.NOT. ASSOCIATED(pool)) DBCSR_ABORT(\"pool not allocated\")\n\n!$ CALL OMP_SET_LOCK(pool%lock)\n res%d => Null()\n best_cur => Null()\n best_prev => Null()\n best_size = HUGE(1)\n prev => Null()\n cur => pool%root\n DO WHILE (ASSOCIATED(cur%next))\n prev => cur\n cur => cur%next\n s = dbcsr_data_get_size(cur%area)\n IF (s < datasize) CYCLE\n IF (.NOT. dbcsr_memtype_equal(cur%area%d%memory_type, memtype)) CYCLE\n IF (cur%area%d%data_type /= datatype) CYCLE\n !we found a match\n IF (s < best_size) THEN\n best_cur => cur\n best_prev => prev\n best_size = s\n END IF\n END DO\n\n IF (ASSOCIATED(best_cur)) THEN\n IF (best_cur%area%d%refcount /= 0) DBCSR_ABORT(\"refcount /= 0\")\n best_cur%area%d%refcount = 1\n best_prev%next => best_cur%next\n res = best_cur%area\n DEALLOCATE (best_cur)\n END IF\n!$ CALL OMP_UNSET_LOCK(pool%lock)\n\n IF (.NOT. ASSOCIATED(res%d)) &\n CALL mempool_collect_garbage(pool)\n END FUNCTION dbcsr_mempool_get\n\n SUBROUTINE dbcsr_mempool_add(area)\n !! Adds an unused (refcount==0) data_area to the pool.\n TYPE(dbcsr_data_obj) :: area\n\n TYPE(dbcsr_mempool_entry_type), POINTER :: new_entry\n TYPE(dbcsr_mempool_type), POINTER :: pool\n\n pool => area%d%memory_type%pool\n IF (.NOT. ASSOCIATED(pool)) DBCSR_ABORT(\"pool not allocated\")\n IF (.NOT. dbcsr_data_exists(area)) DBCSR_ABORT(\"area not allocated\")\n IF (area%d%refcount /= 0) DBCSR_ABORT(\"refcount /= 0\")\n\n CALL mempool_collect_garbage(pool)\n\n!$ CALL OMP_SET_LOCK(pool%lock)\n ALLOCATE (new_entry)\n new_entry%area = area\n new_entry%next => pool%root%next\n pool%root%next => new_entry\n!$ CALL OMP_UNSET_LOCK(pool%lock)\n END SUBROUTINE dbcsr_mempool_add\n\n SUBROUTINE mempool_collect_garbage(pool)\n !! Ensures that pool_size < max_size, e.g. that there is a free slot.\n TYPE(dbcsr_mempool_type), POINTER :: pool\n\n INTEGER :: n\n TYPE(dbcsr_mempool_entry_type), POINTER :: cur, prev\n\n IF (.NOT. ASSOCIATED(pool)) DBCSR_ABORT(\"pool not allocated\")\n\n!$ CALL OMP_SET_LOCK(pool%lock)\n prev => pool%root\n cur => pool%root%next\n n = 0\n DO WHILE (ASSOCIATED(cur))\n n = n + 1\n IF (n >= pool%capacity) THEN\n CALL internal_data_deallocate(cur%area%d)\n DEALLOCATE (cur%area%d)\n prev%next => cur%next\n DEALLOCATE (cur)\n cur => prev%next\n ELSE\n prev => cur\n cur => cur%next\n END IF\n END DO\n!$ CALL OMP_UNSET_LOCK(pool%lock)\n END SUBROUTINE mempool_collect_garbage\n\n SUBROUTINE dbcsr_mempool_destruct(pool)\n !! Finalizes mempool, includes deallocation of all contained data_areas.\n TYPE(dbcsr_mempool_type), POINTER :: pool\n\n IF (.NOT. ASSOCIATED(pool)) DBCSR_ABORT(\"pool not allocated\")\n\n CALL dbcsr_mempool_clear(pool)\n\n!$ CALL OMP_DESTROY_LOCK(pool%lock)\n DEALLOCATE (pool%root)\n DEALLOCATE (pool)\n\n END SUBROUTINE dbcsr_mempool_destruct\n\n SUBROUTINE dbcsr_mempool_clear(pool)\n !! Deallocates all data_areas contained in given mempool.\n TYPE(dbcsr_mempool_type), POINTER :: pool\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_mempool_clear'\n\n INTEGER :: handle\n TYPE(dbcsr_mempool_entry_type), POINTER :: cur, prev\n\n IF (.NOT. ASSOCIATED(pool)) DBCSR_ABORT(\"pool not allocated\")\n\n CALL timeset(routineN, handle)\n\n!$ CALL OMP_SET_LOCK(pool%lock)\n cur => pool%root%next\n DO WHILE (ASSOCIATED(cur))\n CALL internal_data_deallocate(cur%area%d)\n DEALLOCATE (cur%area%d)\n prev => cur\n cur => cur%next\n DEALLOCATE (prev)\n END DO\n NULLIFY (pool%root%next)\n!$ CALL OMP_UNSET_LOCK(pool%lock)\n\n CALL timestop(handle)\n END SUBROUTINE dbcsr_mempool_clear\n\n SUBROUTINE dbcsr_memtype_setup(memtype, acc_hostalloc, acc_devalloc, mpi, &\n !! Ensures that given memtype has requested settings.\n acc_stream, oversize_factor, has_pool)\n TYPE(dbcsr_memtype_type), INTENT(INOUT) :: memtype\n LOGICAL, INTENT(IN), OPTIONAL :: acc_hostalloc, acc_devalloc, mpi\n TYPE(acc_stream_type), OPTIONAL :: acc_stream\n REAL(KIND=dp), OPTIONAL :: oversize_factor\n LOGICAL, INTENT(IN), OPTIONAL :: has_pool\n\n LOGICAL :: is_ok, my_has_pool\n TYPE(dbcsr_memtype_type) :: aim\n\n! variable aim is initialized with default values from type definition\n\n my_has_pool = .FALSE.\n IF (PRESENT(has_pool)) my_has_pool = has_pool\n IF (PRESENT(acc_hostalloc)) aim%acc_hostalloc = acc_hostalloc\n IF (PRESENT(acc_devalloc)) aim%acc_devalloc = acc_devalloc\n IF (PRESENT(mpi)) aim%mpi = mpi\n IF (PRESENT(acc_stream)) aim%acc_stream = acc_stream\n IF (PRESENT(oversize_factor)) aim%oversize_factor = oversize_factor\n\n IF (.NOT. aim%acc_devalloc .EQV. acc_stream_associated(aim%acc_stream)) &\n DBCSR_ABORT(\"acc_stream missing\")\n\n is_ok = .TRUE.\n is_ok = is_ok .AND. (memtype%acc_hostalloc .EQV. aim%acc_hostalloc)\n is_ok = is_ok .AND. (memtype%acc_devalloc .EQV. aim%acc_devalloc)\n is_ok = is_ok .AND. (memtype%mpi .EQV. aim%mpi)\n is_ok = is_ok .AND. acc_stream_equal(memtype%acc_stream, aim%acc_stream)\n is_ok = is_ok .AND. (memtype%oversize_factor == aim%oversize_factor)\n is_ok = is_ok .AND. (ASSOCIATED(memtype%pool) .EQV. my_has_pool)\n\n IF (.NOT. is_ok) THEN\n IF (ASSOCIATED(memtype%pool)) &\n CALL dbcsr_mempool_destruct(memtype%pool)\n\n memtype%acc_hostalloc = aim%acc_hostalloc\n memtype%acc_devalloc = aim%acc_devalloc\n memtype%mpi = aim%mpi\n memtype%acc_stream = aim%acc_stream\n memtype%oversize_factor = aim%oversize_factor\n IF (my_has_pool) &\n CALL dbcsr_mempool_create(memtype%pool)\n END IF\n END SUBROUTINE dbcsr_memtype_setup\n\n FUNCTION dbcsr_memtype_equal(mt1, mt2) RESULT(res)\n !! Test if two memtypes are equal\n TYPE(dbcsr_memtype_type), INTENT(in) :: mt1, mt2\n LOGICAL :: res\n\n res = (mt1%mpi .EQV. mt2%mpi) .AND. &\n (mt1%acc_hostalloc .EQV. mt2%acc_hostalloc) .AND. &\n (mt1%acc_devalloc .EQV. mt2%acc_devalloc) .AND. &\n (ASSOCIATED(mt1%pool) .EQV. ASSOCIATED(mt2%pool)) .AND. &\n (.NOT. ASSOCIATED(mt1%pool) .OR. ASSOCIATED(mt1%pool, mt2%pool))\n END FUNCTION dbcsr_memtype_equal\n\nEND MODULE dbcsr_mem_methods\n" }, { "path": "src/data/dbcsr_ptr_util.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_ptr_util\n !! DBCSR pointer and unmanaged array utilities\n USE dbcsr_acc_hostmem, ONLY: acc_hostmem_allocate, &\n acc_hostmem_deallocate\n USE dbcsr_config, ONLY: dbcsr_cfg\n USE dbcsr_data_types, ONLY: dbcsr_data_obj, &\n dbcsr_memtype_default, &\n dbcsr_memtype_type, &\n dbcsr_type_complex_4, &\n dbcsr_type_complex_8, &\n dbcsr_type_real_4, &\n dbcsr_type_real_8\n USE dbcsr_kinds, ONLY: dp, &\n int_4, &\n int_8, &\n real_4, &\n real_8\n USE dbcsr_mpiwrap, ONLY: mp_allocate, &\n mp_deallocate\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_ptr_util'\n\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n PUBLIC :: ensure_array_size\n PUBLIC :: memory_allocate, memory_deallocate\n PUBLIC :: memory_zero\n PUBLIC :: pointer_view\n PUBLIC :: pointer_rank_remap2\n PUBLIC :: memory_copy\n\n INTERFACE ensure_array_size\n MODULE PROCEDURE ensure_array_size_i, ensure_array_size_l\n MODULE PROCEDURE ensure_array_size_s, ensure_array_size_d, &\n ensure_array_size_c, ensure_array_size_z\n END INTERFACE\n\n INTERFACE pointer_view\n MODULE PROCEDURE pointer_view_s, pointer_view_d, &\n pointer_view_c, pointer_view_z\n MODULE PROCEDURE pointer_view_i, pointer_view_l\n MODULE PROCEDURE pointer_view_a\n END INTERFACE\n\n INTERFACE pointer_rank_remap2\n MODULE PROCEDURE pointer_s_rank_remap2, pointer_d_rank_remap2, &\n pointer_c_rank_remap2, pointer_z_rank_remap2, &\n pointer_l_rank_remap2, pointer_i_rank_remap2\n END INTERFACE\n\n INTERFACE memory_copy\n MODULE PROCEDURE mem_copy_i, mem_copy_l, &\n mem_copy_s, mem_copy_d, &\n mem_copy_c, mem_copy_z\n END INTERFACE\n\n INTERFACE memory_zero\n MODULE PROCEDURE mem_zero_i, mem_zero_l\n MODULE PROCEDURE mem_zero_s, mem_zero_d, mem_zero_c, mem_zero_z\n END INTERFACE\n\n INTERFACE memory_allocate\n MODULE PROCEDURE mem_alloc_i, mem_alloc_l, mem_alloc_s, mem_alloc_d, mem_alloc_c, mem_alloc_z\n MODULE PROCEDURE mem_alloc_i_2d, mem_alloc_l_2d, mem_alloc_s_2d, mem_alloc_d_2d, mem_alloc_c_2d, mem_alloc_z_2d\n END INTERFACE\n\n INTERFACE memory_deallocate\n MODULE PROCEDURE mem_dealloc_i, mem_dealloc_l, mem_dealloc_s, mem_dealloc_d, mem_dealloc_c, mem_dealloc_z\n MODULE PROCEDURE mem_dealloc_i_2d, mem_dealloc_l_2d, mem_dealloc_s_2d, mem_dealloc_d_2d, mem_dealloc_c_2d, mem_dealloc_z_2d\n END INTERFACE\n\nCONTAINS\n\n FUNCTION pointer_view_a(new_area, area, offset, len) RESULT(narea2)\n !! Repoints a pointer into a part of a data area\n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: new_area\n !! repoints this encapsulated pointer\n TYPE(dbcsr_data_obj), INTENT(IN) :: area\n !! area to point into\n INTEGER, INTENT(IN) :: offset\n !! point to this offset in area\n INTEGER, INTENT(IN), OPTIONAL :: len\n !! length of data area to point to\n TYPE(dbcsr_data_obj) :: narea2\n !! copy of new_area\n\n IF (area%d%data_type /= new_area%d%data_type) &\n DBCSR_ABORT(\"Incompatible data types.\")\n IF (PRESENT(len)) THEN\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_real_4)\n new_area%d%r_sp => area%d%r_sp(offset:offset + len - 1)\n CASE (dbcsr_type_real_8)\n new_area%d%r_dp => area%d%r_dp(offset:offset + len - 1)\n CASE (dbcsr_type_complex_4)\n new_area%d%c_sp => area%d%c_sp(offset:offset + len - 1)\n CASE (dbcsr_type_complex_8)\n new_area%d%c_dp => area%d%c_dp(offset:offset + len - 1)\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n ELSE\n SELECT CASE (area%d%data_type)\n CASE (dbcsr_type_real_4)\n new_area%d%r_sp => area%d%r_sp(offset:)\n CASE (dbcsr_type_real_8)\n new_area%d%r_dp => area%d%r_dp(offset:)\n CASE (dbcsr_type_complex_4)\n new_area%d%c_sp => area%d%c_sp(offset:)\n CASE (dbcsr_type_complex_8)\n new_area%d%c_dp => area%d%c_dp(offset:)\n CASE default\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n END IF\n narea2 = new_area\n END FUNCTION pointer_view_a\n\n #:include 'dbcsr.fypp'\n #:for nametype1, type1, zero1 in inst_params_all\n FUNCTION pointer_view_${nametype1}$ (original, lb, ub) RESULT(view)\n !! Returns a pointer with different bounds.\n\n ${type1}$, DIMENSION(:), POINTER :: original, view\n !! original data pointer\n !! new pointer\n INTEGER, INTENT(IN) :: lb, ub\n !! lower and upper bound for the new pointer view\n !! lower and upper bound for the new pointer view\n view => original(lb:ub)\n END FUNCTION pointer_view_${nametype1}$\n\n SUBROUTINE ensure_array_size_${nametype1}$ (array, array_resize, lb, ub, factor, &\n nocopy, memory_type, zero_pad)\n !! Ensures that an array is appropriately large.\n\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: array\n !! array to verify and possibly resize\n ${type1}$, DIMENSION(:), POINTER, OPTIONAL :: array_resize\n INTEGER, INTENT(IN), OPTIONAL :: lb\n !! desired array lower bound\n INTEGER, INTENT(IN) :: ub\n !! desired array upper bound\n REAL(KIND=dp), INTENT(IN), OPTIONAL :: factor\n !! factor by which to exaggerate enlargements\n LOGICAL, INTENT(IN), OPTIONAL :: nocopy, zero_pad\n !! copy array on enlargement; default is to copy\n !! zero new allocations; default is to write nothing\n TYPE(dbcsr_memtype_type), INTENT(IN), OPTIONAL :: memory_type\n !! use special memory\n\n CHARACTER(len=*), PARAMETER :: routineN = 'ensure_array_size_${nametype1}$', &\n routineP = moduleN//':'//routineN\n\n INTEGER :: lb_new, lb_orig, &\n ub_new, ub_orig, old_size, &\n size_increase\n TYPE(dbcsr_memtype_type) :: mem_type\n LOGICAL :: dbg, docopy, &\n pad\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: newarray\n\n! ---------------------------------------------------------------------------\n !CALL timeset(routineN, error_handler)\n dbg = .FALSE.\n\n IF (PRESENT(array_resize)) NULLIFY (array_resize)\n\n IF (PRESENT(nocopy)) THEN\n docopy = .NOT. nocopy\n ELSE\n docopy = .TRUE.\n END IF\n IF (PRESENT(memory_type)) THEN\n mem_type = memory_type\n ELSE\n mem_type = dbcsr_memtype_default\n END IF\n lb_new = 1\n IF (PRESENT(lb)) lb_new = lb\n pad = .FALSE.\n IF (PRESENT(zero_pad)) pad = zero_pad\n ! Creates a new array if it doesn't yet exist.\n IF (.NOT. ASSOCIATED(array)) THEN\n IF (lb_new /= 1) &\n DBCSR_ABORT(\"Arrays must start at 1\")\n CALL mem_alloc_${nametype1}$ (array, ub, mem_type=mem_type)\n IF (pad .AND. ub .GT. 0) CALL mem_zero_${nametype1}$ (array, ub)\n !CALL timestop(error_handler)\n RETURN\n END IF\n lb_orig = LBOUND(array, 1)\n ub_orig = UBOUND(array, 1)\n old_size = ub_orig - lb_orig + 1\n ! The existing array is big enough.\n IF (lb_orig .LE. lb_new .AND. ub_orig .GE. ub) THEN\n !CALL timestop(error_handler)\n RETURN\n END IF\n ! A reallocation must be performed\n IF (dbg) WRITE (*, *) routineP//' Current bounds are', lb_orig, ':', ub_orig, &\n '; special?' !,mem_type\n !CALL timeset(routineN,timing_handle)\n IF (lb_orig .GT. lb_new) THEN\n IF (PRESENT(factor)) THEN\n size_increase = lb_orig - lb_new\n size_increase = MAX(NINT(size_increase*factor), &\n NINT(old_size*(factor - 1)), 0)\n lb_new = MIN(lb_orig, lb_new - size_increase)\n ELSE\n lb_new = lb_orig\n END IF\n END IF\n IF (ub_orig .LT. ub) THEN\n IF (PRESENT(factor)) THEN\n size_increase = ub - ub_orig\n size_increase = MAX(NINT(size_increase*factor), &\n NINT(old_size*(factor - 1)), 0)\n ub_new = MAX(ub_orig, ub + size_increase)\n ELSE\n ub_new = ub\n END IF\n ELSE\n ub_new = ub\n END IF\n IF (dbg) WRITE (*, *) routineP//' Resizing to bounds', lb_new, ':', ub_new\n !\n ! Deallocates the old array if it's not needed to copy the old data.\n IF (.NOT. docopy) THEN\n IF (PRESENT(array_resize)) THEN\n array_resize => array\n NULLIFY (array)\n ELSE\n CALL mem_dealloc_${nametype1}$ (array, mem_type=mem_type)\n END IF\n END IF\n !\n ! Allocates the new array\n IF (lb_new /= 1) &\n DBCSR_ABORT(\"Arrays must start at 1\")\n CALL mem_alloc_${nametype1}$ (newarray, ub_new - lb_new + 1, mem_type)\n !\n ! Now copy and/or zero pad.\n IF (docopy) THEN\n IF (dbg .AND. (lb_new .GT. lb_orig .OR. ub_new .LT. ub_orig)) &\n DBCSR_ABORT(\"Old extent exceeds the new one.\")\n IF (ub_orig - lb_orig + 1 .gt. 0) THEN\n !newarray(lb_orig:ub_orig) = array(lb_orig:ub_orig)\n CALL mem_copy_${nametype1}$ (newarray(lb_orig:ub_orig), &\n array(lb_orig:ub_orig), ub_orig - lb_orig + 1)\n END IF\n IF (pad) THEN\n !newarray(lb_new:lb_orig-1) = 0\n CALL mem_zero_${nametype1}$ (newarray(lb_new:lb_orig - 1), (lb_orig - 1) - lb_new + 1)\n !newarray(ub_orig+1:ub_new) = 0\n CALL mem_zero_${nametype1}$ (newarray(ub_orig + 1:ub_new), ub_new - (ub_orig + 1) + 1)\n END IF\n IF (PRESENT(array_resize)) THEN\n array_resize => array\n NULLIFY (array)\n ELSE\n CALL mem_dealloc_${nametype1}$ (array, mem_type=mem_type)\n END IF\n ELSEIF (pad) THEN\n !newarray(:) = ${zero1}$\n CALL mem_zero_${nametype1}$ (newarray, SIZE(newarray))\n END IF\n array => newarray\n IF (dbg) WRITE (*, *) routineP//' New array size', SIZE(array)\n !CALL timestop(error_handler)\n END SUBROUTINE ensure_array_size_${nametype1}$\n\n SUBROUTINE mem_copy_${nametype1}$ (dst, src, n)\n !! Copies memory area\n\n INTEGER, INTENT(IN) :: n\n !! length of copy\n ${type1}$, DIMENSION(1:n), INTENT(OUT) :: dst\n !! destination memory\n ${type1}$, DIMENSION(1:n), INTENT(IN) :: src\n !! source memory\n dst(:) = src(:)\n END SUBROUTINE mem_copy_${nametype1}$\n\n SUBROUTINE mem_zero_${nametype1}$ (dst, n)\n !! Zeros memory area\n\n INTEGER, INTENT(IN) :: n\n !! length of elements to zero\n ${type1}$, DIMENSION(1:n), INTENT(OUT) :: dst\n !! destination memory\n dst(:) = ${zero1}$\n END SUBROUTINE mem_zero_${nametype1}$\n\n SUBROUTINE mem_alloc_${nametype1}$ (mem, n, mem_type)\n !! Allocates memory\n\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: mem\n !! memory to allocate\n INTEGER, INTENT(IN) :: n\n !! length of elements to allocate\n TYPE(dbcsr_memtype_type), INTENT(IN) :: mem_type\n !! memory type\n CHARACTER(len=*), PARAMETER :: routineN = 'mem_alloc_${nametype1}$'\n INTEGER :: error_handle\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) &\n CALL timeset(routineN, error_handle)\n\n IF (mem_type%acc_hostalloc .AND. n > 1) THEN\n CALL acc_hostmem_allocate(mem, n, mem_type%acc_stream)\n ELSE IF (mem_type%mpi .AND. dbcsr_cfg%use_mpi_allocator%val) THEN\n CALL mp_allocate(mem, n)\n ELSE\n ALLOCATE (mem(n))\n END IF\n\n IF (careful_mod) &\n CALL timestop(error_handle)\n END SUBROUTINE mem_alloc_${nametype1}$\n\n SUBROUTINE mem_alloc_${nametype1}$_2d(mem, sizes, mem_type)\n !! Allocates memory\n\n ${type1}$, DIMENSION(:, :), POINTER :: mem\n !! memory to allocate\n INTEGER, DIMENSION(2), INTENT(IN) :: sizes\n !! length of elements to allocate\n TYPE(dbcsr_memtype_type), INTENT(IN) :: mem_type\n !! memory type\n CHARACTER(len=*), PARAMETER :: routineN = 'mem_alloc_${nametype1}$_2d'\n INTEGER :: error_handle\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) &\n CALL timeset(routineN, error_handle)\n\n IF (mem_type%acc_hostalloc) THEN\n DBCSR_ABORT(\"Accelerator hostalloc not supported for 2D arrays.\")\n !CALL acc_hostmem_allocate(mem, n, mem_type%acc_stream)\n ELSE IF (mem_type%mpi) THEN\n DBCSR_ABORT(\"MPI allocate not supported for 2D arrays.\")\n !CALL mp_allocate(mem, n)\n ELSE\n ALLOCATE (mem(sizes(1), sizes(2)))\n END IF\n\n IF (careful_mod) &\n CALL timestop(error_handle)\n END SUBROUTINE mem_alloc_${nametype1}$_2d\n\n SUBROUTINE mem_dealloc_${nametype1}$ (mem, mem_type)\n !! Deallocates memory\n\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: mem\n !! memory to allocate\n TYPE(dbcsr_memtype_type), INTENT(IN) :: mem_type\n !! memory type\n CHARACTER(len=*), PARAMETER :: routineN = 'mem_dealloc_${nametype1}$'\n INTEGER :: error_handle\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) &\n CALL timeset(routineN, error_handle)\n\n IF (mem_type%acc_hostalloc .AND. SIZE(mem) > 1) THEN\n CALL acc_hostmem_deallocate(mem, mem_type%acc_stream)\n ELSE IF (mem_type%mpi .AND. dbcsr_cfg%use_mpi_allocator%val) THEN\n CALL mp_deallocate(mem)\n ELSE\n DEALLOCATE (mem)\n END IF\n\n IF (careful_mod) &\n CALL timestop(error_handle)\n END SUBROUTINE mem_dealloc_${nametype1}$\n\n SUBROUTINE mem_dealloc_${nametype1}$_2d(mem, mem_type)\n !! Deallocates memory\n\n ${type1}$, DIMENSION(:, :), POINTER :: mem\n !! memory to allocate\n TYPE(dbcsr_memtype_type), INTENT(IN) :: mem_type\n !! memory type\n CHARACTER(len=*), PARAMETER :: routineN = 'mem_dealloc_${nametype1}$'\n INTEGER :: error_handle\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) &\n CALL timeset(routineN, error_handle)\n\n IF (mem_type%acc_hostalloc) THEN\n DBCSR_ABORT(\"Accelerator host deallocate not supported for 2D arrays.\")\n !CALL acc_hostmem_deallocate(mem, mem_type%acc_stream)\n ELSE IF (mem_type%mpi) THEN\n DBCSR_ABORT(\"MPI deallocate not supported for 2D arrays.\")\n !CALL mp_deallocate(mem)\n ELSE\n DEALLOCATE (mem)\n END IF\n\n IF (careful_mod) &\n CALL timestop(error_handle)\n END SUBROUTINE mem_dealloc_${nametype1}$_2d\n\n SUBROUTINE pointer_${nametype1}$_rank_remap2(r2p, d1, d2, r1p)\n !! Sets a rank-2 pointer to rank-1 data using Fortran 2003 pointer\n !! rank remapping.\n\n INTEGER, INTENT(IN) :: d1, d2\n ${type1}$, DIMENSION(:, :), &\n POINTER :: r2p\n ${type1}$, DIMENSION(:), &\n POINTER :: r1p\n\n r2p(1:d1, 1:d2) => r1p(1:d1*d2)\n END SUBROUTINE pointer_${nametype1}$_rank_remap2\n #:endfor\n\nEND MODULE dbcsr_ptr_util\n" }, { "path": "src/dbcsr.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef DBCSR_H\n#define DBCSR_H\n\n#include \n#include /* we need bool from C99 */\n#:include 'data/dbcsr.fypp'\n\nstatic const int dbcsr_type_real_4 = 1;\nstatic const int dbcsr_type_real_8 = 3;\nstatic const int dbcsr_type_complex_4 = 5;\nstatic const int dbcsr_type_complex_8 = 7;\n\nstatic const int dbcsr_filter_frobenius = 1;\n\nstatic const int dbcsr_norm_frobenius = 1;\nstatic const int dbcsr_norm_maxabsnorm = 2;\nstatic const int dbcsr_norm_gershgorin = 3;\nstatic const int dbcsr_norm_column = 4;\n\nstatic const int dbcsr_func_inverse = 0;\nstatic const int dbcsr_func_tanh = 1;\nstatic const int dbcsr_func_dtanh = 2;\nstatic const int dbcsr_func_ddtanh = 3;\nstatic const int dbcsr_func_artanh = 4;\nstatic const int dbcsr_func_inverse_special = 5;\nstatic const int dbcsr_func_spread_from_zero = 6;\nstatic const int dbcsr_func_sin = 7;\nstatic const int dbcsr_func_dsin = 8;\nstatic const int dbcsr_func_ddsin = 9;\nstatic const int dbcsr_func_asin = 10;\nstatic const int dbcsr_func_cos = 11;\nstatic const int dbcsr_func_truncate = 12;\n\nstatic const char dbcsr_type_invalid = '0';\nstatic const char dbcsr_type_no_symmetry = 'N';\nstatic const char dbcsr_type_symmetric = 'S';\nstatic const char dbcsr_type_antisymmetric = 'A';\nstatic const char dbcsr_type_hermitian = 'H';\nstatic const char dbcsr_type_antihermitian = 'K';\n\nstatic const char dbcsr_no_transpose = 'N';\nstatic const char dbcsr_transpose = 'T';\nstatic const char dbcsr_conjugate_transpose = 'C';\n\nstatic const char dbcsr_repl_none = 'N';\nstatic const char dbcsr_repl_row = 'R';\nstatic const char dbcsr_repl_col = 'C';\nstatic const char dbcsr_repl_full = 'A';\n\ntypedef void* dbcsr_matrix;\ntypedef void* dbcsr_distribution;\ntypedef void* dbcsr_iterator;\n\n#if defined(__cplusplus)\nextern \"C\" {\n#endif\n\n//----------------------------------------------------!\n// lib init/finalize !\n//----------------------------------------------------!\n\nvoid c_dbcsr_clear_mempools();\n\nvoid c_dbcsr_mp_grid_setup(void* c_dist);\n\nvoid c_dbcsr_init_lib_internal(MPI_Fint* fcomm, int* io_unit);\n\ninline void c_dbcsr_init_lib(MPI_Comm comm, int* io_unit) {\n MPI_Fint fcomm = MPI_Comm_c2f(comm);\n c_dbcsr_init_lib_internal(&fcomm, io_unit);\n}\n\nvoid c_dbcsr_print_statistics(const bool* c_print_timers, const char* c_callgraph_filename);\n\nvoid c_dbcsr_finalize_lib(void);\n\n//-------------------------------------------------------!\n// create/release !\n//-------------------------------------------------------!\n\nvoid c_dbcsr_distribution_hold(const dbcsr_distribution c_dist);\n\nvoid c_dbcsr_distribution_new_aux(\n dbcsr_distribution* dist, MPI_Fint* fcomm, int* row_dist, int row_dist_size, int* col_dist, int col_dist_size);\n\ninline void c_dbcsr_distribution_new(\n dbcsr_distribution* dist, MPI_Comm comm, int* row_dist, int row_dist_size, int* col_dist, int col_dist_size) {\n MPI_Fint fcomm = MPI_Comm_c2f(comm);\n c_dbcsr_distribution_new_aux(dist, &fcomm, row_dist, row_dist_size, col_dist, col_dist_size);\n}\n\nvoid c_dbcsr_distribution_release(dbcsr_distribution* dist);\n\nvoid c_dbcsr_create_new(dbcsr_matrix* c_matrix, const char* c_name, const dbcsr_distribution, const char c_matrix_type,\n const int* c_row_blk_size, const int c_row_size, const int* c_col_blk_size, const int c_col_size, const int* c_nze,\n const int* c_data_type, const bool* c_reuse, const bool* c_reuse_arrays, const bool* c_mutable_work,\n const char* c_replication_type);\n\nvoid c_dbcsr_create_template(dbcsr_matrix* c_matrix, const char* c_name, const dbcsr_matrix c_template,\n const dbcsr_distribution c_dist, const char* c_matrix_type, const int* c_row_blk_size, const int c_row_size,\n const int* c_col_blk_size, const int c_col_size, const int* c_nze, const int* c_data_type, const bool* c_reuse_arrays,\n const bool* c_mutable_work, const char* c_replication_type);\n\nvoid c_dbcsr_finalize(const dbcsr_matrix matrix);\n\nvoid c_dbcsr_release(dbcsr_matrix* matrix);\n\n//----------------------------------------------------------!\n// primitive matrix operations !\n//----------------------------------------------------------!\n\n#:for n_inst, nametype, base, prec, ctype, extype in c_exparams\n\nvoid c_dbcsr_set_${nametype}$(dbcsr_matrix c_matrix, const ${extype}$ c_alpha);\n\nvoid c_dbcsr_add_${nametype}$(\n dbcsr_matrix c_matrix_a, const dbcsr_matrix c_matrix_b, const ${extype}$ c_alpha_scalar, const ${extype}$ c_beta_scalar);\n\nvoid c_dbcsr_scale_${nametype}$(dbcsr_matrix c_matrix_a, const ${extype}$ c_alpha_scalar, const int* c_last_column);\n\nvoid c_dbcsr_scale_by_vector_${nametype}$(\n const dbcsr_matrix c_matrix_a, const ${extype}$* c_alpha, const int c_alpha_size, const char* c_side);\n\nvoid c_dbcsr_multiply_${nametype}$(char c_transa, char c_transb, const ${extype}$ c_alpha, const dbcsr_matrix c_matrix_a,\n const dbcsr_matrix c_matrix_b, const ${extype}$ c_beta, dbcsr_matrix c_matrix_c, const int* c_first_row, const int* c_last_row,\n const int* c_first_column, const int* c_last_column, const int* c_first_k, const int* c_last_k, const bool* c_retain_sparsity,\n const double* c_filter_eps, long long int* c_flop);\n\nvoid c_dbcsr_add_on_diag_${nametype}$(dbcsr_matrix c_matrix, const ${extype}$ c_alpha_scalar);\n\nvoid c_dbcsr_set_diag_${nametype}$(dbcsr_matrix c_matrix, const ${extype}$* c_diag, const int c_diag_size);\n\nvoid c_dbcsr_get_diag_${nametype}$(const dbcsr_matrix c_matrix, ${extype}$* c_diag, const int c_diag_size);\n\nvoid c_dbcsr_trace_${nametype}$(const dbcsr_matrix c_matrix_a, ${extype}$* c_trace);\n\nvoid c_dbcsr_dot_${nametype}$(const dbcsr_matrix c_matrix_a, const dbcsr_matrix c_matrix_b, ${extype}$* c_result);\n\nvoid c_dbcsr_get_block_p_${nametype}$(const dbcsr_matrix c_matrix, const int c_row, const int c_col, ${extype}$** c_block,\n bool* c_tr, bool* c_found, int* c_row_size, int* c_col_size);\n\nvoid c_dbcsr_get_block_notrans_p_${nametype}$(const dbcsr_matrix c_matrix, const int c_row, const int c_col, ${extype}$** c_block,\n bool* c_found, int* c_row_size, int* c_col_size);\n\n#:endfor\n\nvoid c_dbcsr_complete_redistribute(\n const dbcsr_matrix c_matrix, dbcsr_matrix c_redist, const bool* c_keep_sparsity, const bool* c_summation);\n\nvoid c_dbcsr_filter(\n dbcsr_matrix c_matrix, const double* c_eps, const int* c_method, const bool* c_use_absolute, const bool* c_filter_diag);\n\nvoid c_dbcsr_get_block_diag(const dbcsr_matrix c_matrix, void** c_diag);\n\nvoid c_dbcsr_transposed(dbcsr_matrix* c_transposed, dbcsr_matrix c_normal, const bool* c_shallow_data_copy,\n const bool* c_transpose_data, const bool* c_transpose_distribution, const bool* c_use_distribution);\n\nvoid c_dbcsr_copy(dbcsr_matrix* c_matrix_b, const dbcsr_matrix c_matrix_a, const char* c_name, const bool* c_keep_sparsity,\n const bool* c_shallow_data, const bool* c_keep_imaginary, const char* c_matrix_type);\n\nvoid c_dbcsr_copy_into_existing(dbcsr_matrix c_matrix_b, const dbcsr_matrix c_matrix_a);\n\nvoid c_dbcsr_desymmetrize(const dbcsr_matrix c_matrix_a, dbcsr_matrix* c_matrix_b);\n\nvoid c_dbcsr_clear(dbcsr_matrix* c_dbcsr_mat);\n\n//-----------------------------------------------------------------!\n// block_reservations !\n//-----------------------------------------------------------------!\n\nvoid c_dbcsr_reserve_diag_blocks(dbcsr_matrix c_matrix);\n\nvoid c_dbcsr_reserve_blocks(dbcsr_matrix c_matrix, const int* c_rows, const int* c_cols, const int c_size);\n\nvoid c_dbcsr_reserve_all_blocks(dbcsr_matrix c_matrix);\n\n#:for n_inst, nametype, base, prec, ctype, extype in c_exparams\n\nvoid c_dbcsr_reserve_block2d_${nametype}$(dbcsr_matrix c_matrix, const int c_row, const int c_col, const ${extype}$* c_block,\n const int c_row_size, const int c_col_size, const bool* c_transposed, bool* c_existed);\n\n#:endfor\n\n//-------------------------------!\n// iterator !\n//-------------------------------!\n\nvoid c_dbcsr_iterator_stop(dbcsr_iterator* c_iterator);\n\nvoid c_dbcsr_iterator_start(dbcsr_iterator* c_iterator, const dbcsr_matrix c_matrix, const bool* c_shared, const bool* c_dynamic,\n const bool* c_dynamic_byrows, const bool* c_contiguous_pointers, const bool* c_read_only);\n\nbool c_dbcsr_iterator_blocks_left(const dbcsr_iterator c_iterator);\n\nvoid c_dbcsr_iterator_next_block_index(const dbcsr_iterator c_iterator, int* c_row, int* c_column, int* c_blk, int* c_blk_p);\n\n#:for n_inst, nametype, base, prec, ctype, extype in c_exparams\n\nvoid c_dbcsr_iterator_next_2d_block_${nametype}$(const dbcsr_iterator c_iterator, int* c_row, int* c_column, ${extype}$** c_block,\n bool* c_transposed, int* c_block_number, int* c_row_size, int* c_col_size, int* c_row_offset, int* c_col_offset);\n\n#:endfor\n\n//--------------------------------------------------------!\n// work operations !\n//--------------------------------------------------------!\n\n#:for n_inst, nametype, base, prec, ctype, extype in c_exparams\nvoid c_dbcsr_put_block2d_${nametype}$(dbcsr_matrix c_matrix, const int c_row, const int c_col, const ${extype}$* c_block,\n const int c_row_size, const int c_col_size, const bool* c_summation, const ${extype}$* c_scale);\n\nvoid c_dbcsr_get_data_${nametype}$(const dbcsr_matrix c_matrix, ${extype}$** c_data, long long int* c_data_size,\n ${extype}$* c_select_data_type, int* c_lb, int* c_ub);\n\n#:endfor\n\n//------------------------------------------------------------!\n// replication !\n//------------------------------------------------------------!\n\nvoid c_dbcsr_replicate_all(dbcsr_matrix c_matrix);\n\nvoid c_dbcsr_distribute(dbcsr_matrix c_matrix, bool* c_fast);\n\nvoid c_dbcsr_sum_replicated(dbcsr_matrix c_matrix);\n\n//-----------------------------------------!\n// high level matrix functions !\n//-----------------------------------------!\n\nvoid c_dbcsr_hadamard_product(\n const dbcsr_matrix c_matrix_a, const dbcsr_matrix c_matrix_b, dbcsr_matrix c_matrix_c, const double* c_b_assume_value);\n\nvoid c_dbcsr_print(const dbcsr_matrix matrix);\n\nvoid c_dbcsr_print_block_sum(const dbcsr_matrix c_matrix, const int* c_unit_nr);\n\ndouble c_dbcsr_checksum(const dbcsr_matrix c_matrix, const bool* c_local, const bool* c_pos);\n\ndouble c_dbcsr_maxabs(const dbcsr_matrix c_matrix);\n\ndouble c_dbcsr_gershgorin_norm(const dbcsr_matrix c_matrix);\n\ndouble c_dbcsr_frobenius_norm(const dbcsr_matrix c_matrix, const bool* c_local);\n\nvoid c_dbcsr_norm_scalar(const dbcsr_matrix c_matrix, const int c_which_norm, double* c_norm_scalar);\n\nvoid c_dbcsr_triu(const dbcsr_matrix c_matrix);\n\nvoid c_dbcsr_init_random(dbcsr_matrix c_matrix, const bool* c_keep_sparsity);\n\nvoid c_dbcsr_function_of_elements(\n dbcsr_matrix c_matrix, const int c_func, const double* c_a0, const double* c_a1, const double* c_a2);\n\n//--------------------------------------------------!\n// setters/getters !\n//--------------------------------------------------!\n\nint c_dbcsr_nblkrows_total(const dbcsr_matrix c_matrix);\n\nint c_dbcsr_nblkcols_total(const dbcsr_matrix c_matrix);\n\nint c_dbcsr_nblkrows_local(const dbcsr_matrix c_matrix);\n\nint c_dbcsr_nblkcols_local(const dbcsr_matrix c_matrix);\n\nvoid c_dbcsr_get_info(const dbcsr_matrix c_matrix, int* c_nblkrows_total, int* c_nblkcols_total, int* c_nfullrows_total,\n int* c_nfullcols_total, int* c_nblkrows_local, int* c_nblkcols_local, int* c_nfullrows_local, int* c_nfullcols_local,\n int* c_my_prow, int* c_my_pcol, int* c_local_rows, int* c_local_cols, int* c_proc_row_dist, int* c_proc_col_dist,\n int* c_row_blk_size, int* c_col_blk_size, int* c_row_blk_offset, int* c_col_blk_offset, dbcsr_distribution* c_distribution,\n char** c_name, char* c_matrix_type, int* c_data_type, int* c_group);\n\n#:set infovars =['local_rows', 'local_cols', 'proc_row_dist', 'proc_col_dist', &\n 'row_blk_size', 'col_blk_size', 'row_blk_offset', 'col_blk_offset']\n#:for var in infovars\n void c_dbcsr_get_${var}$ (dbcsr_matrix c_matrix, int* c_${var}$, int c_size);\n#:endfor\n\n void c_dbcsr_get_name(dbcsr_matrix c_matrix, char** c_name);\n\n void c_dbcsr_get_group_aux(dbcsr_matrix c_matrix, MPI_Fint* fgroup);\n\n inline void c_dbcsr_get_group(dbcsr_matrix c_matrix, MPI_Comm* c_group) {\n MPI_Fint fgroup;\n c_dbcsr_get_group_aux(c_matrix, &fgroup);\n *c_group = MPI_Comm_f2c(fgroup);\n };\n\n void c_dbcsr_get_distribution(dbcsr_matrix c_matrix, dbcsr_distribution* c_dist);\n\n void c_dbcsr_distribution_get_aux(const dbcsr_distribution c_dist, int** c_row_dist, int** c_col_dist, int* c_nrows,\n int* c_ncols, bool* c_has_threads, MPI_Fint* c_group, int* c_mynode, int* c_numnodes, int* c_nprows, int* c_npcols,\n int* c_myprow, int* c_mypcol, int** c_pgrid, bool* c_subgroups_defined, int* c_prow_group, int* c_pcol_group);\n\n inline void c_dbcsr_distribution_get(const dbcsr_distribution c_dist, int** c_row_dist, int** c_col_dist,\n int* c_nrows, int* c_ncols, bool* c_has_threads, MPI_Comm* c_group, int* c_mynode, int* c_numnodes, int* c_nprows,\n int* c_npcols, int* c_myprow, int* c_mypcol, int** c_pgrid, bool* c_subgroups_defined, int* c_prow_group,\n int* c_pcol_group) {\n MPI_Fint fgroup;\n c_dbcsr_distribution_get_aux(c_dist, c_row_dist, c_col_dist, c_nrows, c_ncols, c_has_threads, &fgroup, c_mynode,\n c_numnodes, c_nprows, c_npcols, c_myprow, c_mypcol, c_pgrid, c_subgroups_defined, c_prow_group, c_pcol_group);\n\n if (c_group != nullptr) *c_group = MPI_Comm_f2c(fgroup);\n }\n\n void c_dbcsr_get_stored_coordinates(const dbcsr_matrix matrix, const int row, const int col, int* processor);\n\n void c_dbcsr_setname(const dbcsr_matrix c_matrix, const char* c_newname);\n\n char c_dbcsr_get_matrix_type(const dbcsr_matrix c_matrix);\n\n double c_dbcsr_get_occupation(const dbcsr_matrix c_matrix);\n\n int c_dbcsr_get_num_blocks(const dbcsr_matrix c_matrix);\n\n int c_dbcsr_get_data_size(const dbcsr_matrix c_matrix);\n\n bool c_dbcsr_has_symmetry(const dbcsr_matrix c_matrix);\n\n int c_dbcsr_nfullrows_total(const dbcsr_matrix c_matrix);\n\n int c_dbcsr_nfullcols_total(const dbcsr_matrix c_matrix);\n\n bool c_dbcsr_valid_index(const dbcsr_matrix c_matrix);\n\n int c_dbcsr_get_data_type(const dbcsr_matrix c_matrix);\n\n //-----------------------------------------------!\n // other !\n //-----------------------------------------------!\n\n void c_dbcsr_binary_write(const dbcsr_matrix c_matrix, const char* c_filepath);\n\n void c_dbcsr_binary_read(const char* c_filepath, dbcsr_distribution c_distribution, dbcsr_matrix* c_matrix_new);\n\n void c_free_string(char** c_string);\n\n#if defined(__cplusplus)\n }\n#endif\n\n#if defined(__cplusplus)\n // --------------------------------------------------- //\n // overloaded functions (cpp only) //\n // --------------------------------------------------- //\n\n#:for n_inst, nametype, base, prec, ctype, extype in c_exparams\n\n inline void c_dbcsr_set(dbcsr_matrix c_matrix, const ${extype}$ c_alpha) {\n c_dbcsr_set_${nametype}$(c_matrix, c_alpha);\n }\n\n inline void c_dbcsr_add(dbcsr_matrix c_matrix_a, const dbcsr_matrix c_matrix_b, const ${extype}$ c_alpha_scalar,\n const ${extype}$ c_beta_scalar) {\n c_dbcsr_add_${nametype}$(c_matrix_a, c_matrix_b, c_alpha_scalar, c_beta_scalar);\n }\n\n inline void c_dbcsr_scale(dbcsr_matrix c_matrix_a, const ${extype}$ c_alpha_scalar, const int* c_last_column) {\n c_dbcsr_scale_${nametype}$(c_matrix_a, c_alpha_scalar, c_last_column);\n }\n\n inline void c_dbcsr_scale_by_vector(\n const dbcsr_matrix c_matrix_a, const ${extype}$* c_alpha, const int c_alpha_size, const char* c_side) {\n c_dbcsr_scale_by_vector_${nametype}$(c_matrix_a, c_alpha, c_alpha_size, c_side);\n }\n\n inline void c_dbcsr_multiply(char c_transa, char c_transb, const ${extype}$ c_alpha, const dbcsr_matrix c_matrix_a,\n const dbcsr_matrix c_matrix_b, const ${extype}$ c_beta, dbcsr_matrix c_matrix_c, const int* c_first_row,\n const int* c_last_row, const int* c_first_column, const int* c_last_column, const int* c_first_k,\n const int* c_last_k, const bool* c_retain_sparsity, const double* c_filter_eps, long long int* c_flop) {\n c_dbcsr_multiply_${nametype}$(c_transa, c_transb, c_alpha, c_matrix_a, c_matrix_b, c_beta, c_matrix_c, c_first_row,\n c_last_row, c_first_column, c_last_column, c_first_k, c_last_k, c_retain_sparsity, c_filter_eps, c_flop);\n }\n\n inline void c_dbcsr_add_on_diag(dbcsr_matrix c_matrix, const ${extype}$ c_alpha_scalar) {\n c_dbcsr_add_on_diag_${nametype}$(c_matrix, c_alpha_scalar);\n }\n\n inline void c_dbcsr_set_diag(dbcsr_matrix c_matrix, const ${extype}$* c_diag, const int c_diag_size) {\n c_dbcsr_set_diag_${nametype}$(c_matrix, c_diag, c_diag_size);\n }\n\n inline void c_dbcsr_get_diag(const dbcsr_matrix c_matrix, ${extype}$* c_diag, const int c_diag_size) {\n c_dbcsr_get_diag_${nametype}$(c_matrix, c_diag, c_diag_size);\n }\n\n inline void c_dbcsr_trace(const dbcsr_matrix c_matrix_a, ${extype}$* c_trace) {\n c_dbcsr_trace_${nametype}$(c_matrix_a, c_trace);\n }\n\n inline void c_dbcsr_dot(const dbcsr_matrix c_matrix_a, const dbcsr_matrix c_matrix_b, ${extype}$* c_result) {\n c_dbcsr_dot_${nametype}$(c_matrix_a, c_matrix_b, c_result);\n }\n\n inline void c_dbcsr_get_block_p(const dbcsr_matrix c_matrix, const int c_row, const int c_col, ${extype}$** c_block,\n bool* c_tr, bool* c_found, int* c_row_size, int* c_col_size) {\n c_dbcsr_get_block_p_${nametype}$(c_matrix, c_row, c_col, c_block, c_tr, c_found, c_row_size, c_col_size);\n }\n\n inline void c_dbcsr_get_block_p(const dbcsr_matrix c_matrix, const int c_row, const int c_col, ${extype}$** c_block,\n bool* c_found, int* c_row_size, int* c_col_size) {\n c_dbcsr_get_block_notrans_p_${nametype}$(c_matrix, c_row, c_col, c_block, c_found, c_row_size, c_col_size);\n }\n\n inline void c_dbcsr_reserve_block2d(dbcsr_matrix c_matrix, const int c_row, const int c_col,\n const ${extype}$* c_block, const int c_row_size, const int c_col_size, const bool* c_transposed, bool* c_existed) {\n c_dbcsr_reserve_block2d_${nametype}$(\n c_matrix, c_row, c_col, c_block, c_row_size, c_col_size, c_transposed, c_existed);\n }\n\n inline void c_dbcsr_iterator_next_2d_block(const dbcsr_iterator c_iterator, int* c_row, int* c_column,\n ${extype}$** c_block, bool* c_transposed, int* c_block_number, int* c_row_size, int* c_col_size, int* c_row_offset,\n int* c_col_offset) {\n c_dbcsr_iterator_next_2d_block_${nametype}$(c_iterator, c_row, c_column, c_block, c_transposed, c_block_number,\n c_row_size, c_col_size, c_row_offset, c_col_offset);\n }\n\n inline void c_dbcsr_put_block2d(dbcsr_matrix c_matrix, const int c_row, const int c_col, const ${extype}$* c_block,\n const int c_row_size, const int c_col_size, const bool* c_summation, const ${extype}$* c_scale) {\n c_dbcsr_put_block2d_${nametype}$(c_matrix, c_row, c_col, c_block, c_row_size, c_col_size, c_summation, c_scale);\n }\n\n inline void c_dbcsr_get_data(const dbcsr_matrix c_matrix, ${extype}$** c_data, long long int* c_data_size,\n ${extype}$* c_select_data_type, int* c_lb, int* c_ub) {\n c_dbcsr_get_data_${nametype}$(c_matrix, c_data, c_data_size, c_select_data_type, c_lb, c_ub);\n }\n#:endfor\n#endif\n\n#endif\n" }, { "path": "src/dbcsr_api.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_api\n !! This is the start of a dbcsr_api, all publicly needed functions\n !! are exported here. The others remain private to the library.\n !! Currently, this is the CP2K used set.\n !! Ultimately, a reduced subset and well defined api will remain,\n !! possibly grouped in to standard and expert api.\n !! Currently, this is work in progress.\n\n USE dbcsr_array_types, ONLY: array_data, &\n array_exists, &\n array_size\n USE dbcsr_block_access, ONLY: dbcsr_get_block_p_prv => dbcsr_get_block_p, &\n dbcsr_put_block_prv => dbcsr_put_block, &\n dbcsr_reserve_all_blocks_prv => dbcsr_reserve_all_blocks, &\n dbcsr_reserve_block2d_prv => dbcsr_reserve_block2d, &\n dbcsr_reserve_blocks_prv => dbcsr_reserve_blocks, &\n dbcsr_reserve_diag_blocks_prv => dbcsr_reserve_diag_blocks\n USE dbcsr_config, ONLY: dbcsr_get_default_config, &\n dbcsr_print_config, &\n dbcsr_set_config\n USE dbcsr_csr_conversions, ONLY: &\n convert_csr_to_dbcsr_prv => convert_csr_to_dbcsr, &\n convert_dbcsr_to_csr_prv => convert_dbcsr_to_csr, &\n csr_create_from_dbcsr_prv => csr_create_from_dbcsr, csr_create_new_prv => csr_create_new, &\n csr_create_template, dbcsr_csr_dbcsr_blkrow_dist => csr_dbcsr_blkrow_dist, &\n dbcsr_csr_destroy => csr_destroy, dbcsr_csr_eqrow_ceil_dist => csr_eqrow_ceil_dist, &\n dbcsr_csr_eqrow_floor_dist => csr_eqrow_floor_dist, dbcsr_csr_p_type => csr_p_type, &\n dbcsr_csr_print_sparsity => csr_print_sparsity, dbcsr_csr_type => csr_type, &\n dbcsr_csr_write => csr_write, &\n dbcsr_to_csr_filter_prv => dbcsr_to_csr_filter, csr_type\n USE dbcsr_data_methods, ONLY: dbcsr_get_data_p_prv => dbcsr_get_data_p, &\n dbcsr_scalar, &\n dbcsr_scalar_fill_all, &\n dbcsr_scalar_get_type, &\n dbcsr_scalar_get_value, &\n dbcsr_scalar_set_type, &\n dbcsr_scalar_zero\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_get_num_images => dbcsr_distribution_get_num_images_1d, &\n dbcsr_distribution_hold_prv => dbcsr_distribution_hold, &\n dbcsr_distribution_new_prv => dbcsr_distribution_new, &\n dbcsr_distribution_release_prv => dbcsr_distribution_release, &\n dbcsr_distribution_get_prv => dbcsr_distribution_get\n USE dbcsr_dist_operations, ONLY: dbcsr_get_stored_coordinates_prv => dbcsr_get_stored_coordinates\n USE dbcsr_io, ONLY: dbcsr_binary_read_prv => dbcsr_binary_read, &\n dbcsr_binary_write_prv => dbcsr_binary_write, &\n dbcsr_print_block_sum_prv => dbcsr_print_block_sum, &\n dbcsr_print_prv => dbcsr_print\n USE dbcsr_iterator_operations, ONLY: dbcsr_iterator_blocks_left_prv => dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block_prv => dbcsr_iterator_next_block, &\n dbcsr_iterator_start_prv => dbcsr_iterator_start, &\n dbcsr_iterator_stop_prv => dbcsr_iterator_stop\n USE dbcsr_lib, ONLY: dbcsr_clear_mempools, &\n dbcsr_finalize_lib, &\n dbcsr_init_lib, dbcsr_print_statistics_prv => dbcsr_print_statistics\n USE dbcsr_methods, ONLY: &\n dbcsr_get_data_size_prv => dbcsr_get_data_size, &\n dbcsr_get_data_type_prv => dbcsr_get_data_type, &\n dbcsr_get_matrix_type_prv => dbcsr_get_matrix_type, &\n dbcsr_get_num_blocks_prv => dbcsr_get_num_blocks, &\n dbcsr_has_symmetry_prv => dbcsr_has_symmetry, &\n dbcsr_nblkcols_total_prv => dbcsr_nblkcols_total, &\n dbcsr_nblkrows_total_prv => dbcsr_nblkrows_total, &\n dbcsr_nblkcols_local_prv => dbcsr_nblkcols_local, &\n dbcsr_nblkrows_local_prv => dbcsr_nblkrows_local, &\n dbcsr_nfullcols_total_prv => dbcsr_nfullcols_total, &\n dbcsr_nfullrows_total_prv => dbcsr_nfullrows_total, &\n dbcsr_release_prv => dbcsr_release, &\n dbcsr_setname_prv => dbcsr_setname, &\n dbcsr_valid_index_prv => dbcsr_valid_index, dbcsr_wm_use_mutable\n USE dbcsr_mpiwrap, ONLY: mp_comm_type\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_grid_setup_prv => dbcsr_mp_grid_setup\n USE dbcsr_multiply_api, ONLY: dbcsr_multiply_prv => dbcsr_multiply\n USE dbcsr_operations, ONLY: &\n dbcsr_add_on_diag_prv => dbcsr_add_on_diag, &\n dbcsr_add_prv => dbcsr_add, &\n dbcsr_copy_into_existing_prv => dbcsr_copy_into_existing, &\n dbcsr_copy_prv => dbcsr_copy, &\n dbcsr_filter_anytype, &\n dbcsr_frobenius_norm_prv => dbcsr_frobenius_norm, &\n dbcsr_function_of_elements_prv => dbcsr_function_of_elements, &\n dbcsr_gershgorin_norm_prv => dbcsr_gershgorin_norm, &\n dbcsr_get_block_diag_prv => dbcsr_get_block_diag, &\n dbcsr_get_diag_prv => dbcsr_get_diag, &\n dbcsr_get_info_prv => dbcsr_get_info, &\n dbcsr_get_occupation_prv => dbcsr_get_occupation, &\n dbcsr_hadamard_product_prv => dbcsr_hadamard_product, &\n dbcsr_init_random_prv => dbcsr_init_random, &\n dbcsr_maxabs_prv => dbcsr_maxabs, &\n dbcsr_norm_scalar_prv => dbcsr_norm_scalar, &\n dbcsr_norm_r8_vec_prv => dbcsr_norm_r8_vec, &\n dbcsr_scale_by_vector_prv => dbcsr_scale_by_vector, &\n dbcsr_scale_prv => dbcsr_scale, &\n dbcsr_set_diag_prv => dbcsr_set_diag, &\n dbcsr_set_prv => dbcsr_set, &\n dbcsr_sum_replicated_prv => dbcsr_sum_replicated, &\n dbcsr_trace_prv => dbcsr_trace, &\n dbcsr_dot_prv => dbcsr_dot, &\n dbcsr_triu_prv => dbcsr_triu, &\n dbcsr_clear_prv => dbcsr_clear, &\n dbcsr_add_block_node_prv => dbcsr_add_block_node, &\n dbcsr_conform_scalar_prv => dbcsr_conform_scalar\n USE dbcsr_test_methods, ONLY: dbcsr_reset_randmat_seed\n USE dbcsr_tests, ONLY: dbcsr_run_tests_prv => dbcsr_run_tests, &\n dbcsr_test_binary_io, &\n dbcsr_test_mm\n USE dbcsr_string_utilities, ONLY: uppercase\n USE dbcsr_transformations, ONLY: dbcsr_complete_redistribute_prv => dbcsr_complete_redistribute, &\n dbcsr_desymmetrize_deep_prv => dbcsr_desymmetrize_deep, &\n dbcsr_distribute_prv => dbcsr_distribute, &\n dbcsr_replicate_all_prv => dbcsr_replicate_all, &\n dbcsr_transposed_prv => dbcsr_transposed\n USE dbcsr_types, ONLY: &\n dbcsr_dist_prv_obj => dbcsr_distribution_obj, dbcsr_func_artanh, dbcsr_func_dtanh, &\n dbcsr_func_inverse, dbcsr_func_tanh, dbcsr_iterator_prv => dbcsr_iterator, dbcsr_mp_obj, &\n dbcsr_no_transpose, dbcsr_norm_column, dbcsr_norm_frobenius, dbcsr_norm_maxabsnorm, &\n dbcsr_prv_type => dbcsr_type, dbcsr_scalar_type, dbcsr_transpose, &\n dbcsr_type_antisymmetric, dbcsr_type_complex_4, dbcsr_type_complex_8, &\n dbcsr_type_complex_default, dbcsr_type_no_symmetry, dbcsr_type_real_4, dbcsr_type_real_8, &\n dbcsr_type_real_default, dbcsr_type_symmetric\n USE dbcsr_dist_util, ONLY: dbcsr_convert_offsets_to_sizes => convert_offsets_to_sizes, &\n dbcsr_convert_sizes_to_offsets => convert_sizes_to_offsets, &\n dbcsr_checksum_prv => dbcsr_checksum, &\n dbcsr_verify_matrix_prv => dbcsr_verify_matrix\n USE dbcsr_work_operations, ONLY: add_work_coordinate_prv => add_work_coordinate, &\n dbcsr_create_prv => dbcsr_create, &\n dbcsr_finalize_prv => dbcsr_finalize, &\n dbcsr_work_create_prv => dbcsr_work_create\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp, &\n int_8, &\n real_4, &\n real_8\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_api'\n\n ! constants\n PUBLIC :: dbcsr_type_no_symmetry\n PUBLIC :: dbcsr_type_symmetric\n PUBLIC :: dbcsr_type_antisymmetric\n PUBLIC :: dbcsr_transpose\n PUBLIC :: dbcsr_no_transpose\n PUBLIC :: dbcsr_type_complex_8\n PUBLIC :: dbcsr_type_real_4\n PUBLIC :: dbcsr_type_real_8\n PUBLIC :: dbcsr_type_complex_4\n PUBLIC :: dbcsr_type_complex_default\n PUBLIC :: dbcsr_type_real_default\n\n ! types\n PUBLIC :: dbcsr_type\n PUBLIC :: dbcsr_p_type\n PUBLIC :: dbcsr_distribution_type\n PUBLIC :: dbcsr_iterator_type\n PUBLIC :: dbcsr_scalar_type\n\n ! lib init/finalize\n PUBLIC :: dbcsr_clear_mempools\n PUBLIC :: dbcsr_init_lib\n PUBLIC :: dbcsr_finalize_lib\n PUBLIC :: dbcsr_set_config\n PUBLIC :: dbcsr_get_default_config\n PUBLIC :: dbcsr_print_config\n PUBLIC :: dbcsr_reset_randmat_seed\n PUBLIC :: dbcsr_mp_grid_setup\n PUBLIC :: dbcsr_print_statistics\n\n ! create / release\n PUBLIC :: dbcsr_distribution_hold\n PUBLIC :: dbcsr_distribution_release\n PUBLIC :: dbcsr_distribution_new\n PUBLIC :: dbcsr_create\n PUBLIC :: dbcsr_init_p\n PUBLIC :: dbcsr_release\n PUBLIC :: dbcsr_release_p\n PUBLIC :: dbcsr_deallocate_matrix\n\n ! primitive matrix operations\n PUBLIC :: dbcsr_set\n PUBLIC :: dbcsr_add\n PUBLIC :: dbcsr_scale\n PUBLIC :: dbcsr_scale_by_vector\n PUBLIC :: dbcsr_transposed\n PUBLIC :: dbcsr_multiply\n PUBLIC :: dbcsr_copy\n PUBLIC :: dbcsr_copy_into_existing\n PUBLIC :: dbcsr_desymmetrize\n PUBLIC :: dbcsr_add_on_diag\n PUBLIC :: dbcsr_get_block_diag\n PUBLIC :: dbcsr_set_diag\n PUBLIC :: dbcsr_get_diag\n PUBLIC :: dbcsr_filter\n PUBLIC :: dbcsr_trace\n PUBLIC :: dbcsr_dot\n PUBLIC :: dbcsr_complete_redistribute\n PUBLIC :: dbcsr_get_block_p\n PUBLIC :: dbcsr_clear\n\n ! block reservation\n PUBLIC :: dbcsr_reserve_diag_blocks\n PUBLIC :: dbcsr_reserve_block2d\n PUBLIC :: dbcsr_reserve_blocks\n PUBLIC :: dbcsr_reserve_all_blocks\n\n ! iterator\n PUBLIC :: dbcsr_iterator_start\n PUBLIC :: dbcsr_iterator_stop\n PUBLIC :: dbcsr_iterator_blocks_left\n PUBLIC :: dbcsr_iterator_next_block\n\n ! getters / setters\n PUBLIC :: dbcsr_get_info\n PUBLIC :: dbcsr_distribution_get\n PUBLIC :: dbcsr_setname\n PUBLIC :: dbcsr_get_matrix_type\n PUBLIC :: dbcsr_get_occupation\n PUBLIC :: dbcsr_nblkrows_total\n PUBLIC :: dbcsr_nblkcols_total\n PUBLIC :: dbcsr_nblkrows_local\n PUBLIC :: dbcsr_nblkcols_local\n PUBLIC :: dbcsr_get_num_blocks\n PUBLIC :: dbcsr_get_data_size\n PUBLIC :: dbcsr_has_symmetry\n PUBLIC :: dbcsr_nfullrows_total\n PUBLIC :: dbcsr_nfullcols_total\n PUBLIC :: dbcsr_get_stored_coordinates\n PUBLIC :: dbcsr_valid_index\n PUBLIC :: dbcsr_get_data_type\n\n ! work operations\n PUBLIC :: dbcsr_add_block_node\n PUBLIC :: dbcsr_put_block\n PUBLIC :: dbcsr_work_create\n PUBLIC :: dbcsr_verify_matrix\n PUBLIC :: dbcsr_add_work_coordinate\n PUBLIC :: dbcsr_get_wms_data_p\n PUBLIC :: dbcsr_get_data_p\n PUBLIC :: dbcsr_set_work_size\n PUBLIC :: dbcsr_finalize\n\n ! replication\n PUBLIC :: dbcsr_replicate_all\n PUBLIC :: dbcsr_sum_replicated\n PUBLIC :: dbcsr_distribute\n\n ! misc\n PUBLIC :: dbcsr_distribution_get_num_images\n PUBLIC :: dbcsr_convert_offsets_to_sizes\n PUBLIC :: dbcsr_convert_sizes_to_offsets\n PUBLIC :: dbcsr_run_tests\n PUBLIC :: dbcsr_test_mm\n PUBLIC :: dbcsr_scalar\n\n ! high level matrix functions\n PUBLIC :: dbcsr_norm_frobenius\n PUBLIC :: dbcsr_norm_maxabsnorm\n PUBLIC :: dbcsr_norm_column\n PUBLIC :: dbcsr_hadamard_product\n PUBLIC :: dbcsr_func_artanh\n PUBLIC :: dbcsr_func_dtanh\n PUBLIC :: dbcsr_func_inverse\n PUBLIC :: dbcsr_func_tanh\n PUBLIC :: dbcsr_print\n PUBLIC :: dbcsr_print_block_sum\n PUBLIC :: dbcsr_checksum\n PUBLIC :: dbcsr_maxabs\n PUBLIC :: dbcsr_norm\n PUBLIC :: dbcsr_gershgorin_norm\n PUBLIC :: dbcsr_frobenius_norm\n PUBLIC :: dbcsr_init_random\n PUBLIC :: dbcsr_function_of_elements\n PUBLIC :: dbcsr_triu\n\n ! csr conversion\n PUBLIC :: dbcsr_csr_type\n PUBLIC :: dbcsr_csr_p_type\n PUBLIC :: dbcsr_convert_csr_to_dbcsr\n PUBLIC :: dbcsr_convert_dbcsr_to_csr\n PUBLIC :: dbcsr_csr_create_from_dbcsr\n PUBLIC :: dbcsr_csr_destroy\n PUBLIC :: dbcsr_csr_create\n PUBLIC :: dbcsr_csr_eqrow_floor_dist\n PUBLIC :: dbcsr_csr_eqrow_ceil_dist\n PUBLIC :: dbcsr_csr_dbcsr_blkrow_dist\n PUBLIC :: dbcsr_csr_print_sparsity\n PUBLIC :: dbcsr_to_csr_filter\n PUBLIC :: dbcsr_csr_write\n\n ! binary io\n PUBLIC :: dbcsr_binary_write\n PUBLIC :: dbcsr_binary_read\n PUBLIC :: dbcsr_test_binary_io\n\n ! -----------------------------------------------------------------------------------------------\n TYPE dbcsr_type\n TYPE(dbcsr_prv_type), PRIVATE :: prv = dbcsr_prv_type()\n END TYPE dbcsr_type\n\n TYPE dbcsr_p_type\n TYPE(dbcsr_type), POINTER :: matrix => Null()\n END TYPE dbcsr_p_type\n\n ! the components of this type must remain private to encapsulate better the internals\n ! of the dbcsr library.\n TYPE dbcsr_distribution_type\n TYPE(dbcsr_dist_prv_obj), PRIVATE :: prv = dbcsr_dist_prv_obj()\n END TYPE dbcsr_distribution_type\n\n TYPE dbcsr_iterator_type\n TYPE(dbcsr_iterator_prv), PRIVATE :: prv = dbcsr_iterator_prv()\n END TYPE dbcsr_iterator_type\n\n INTERFACE dbcsr_create\n MODULE PROCEDURE dbcsr_create_new, dbcsr_create_template\n END INTERFACE\n\n INTERFACE dbcsr_trace\n MODULE PROCEDURE dbcsr_trace_d, dbcsr_trace_s\n MODULE PROCEDURE dbcsr_trace_z, dbcsr_trace_c\n END INTERFACE\n\n INTERFACE dbcsr_dot\n MODULE PROCEDURE dbcsr_dot_d, dbcsr_dot_s\n MODULE PROCEDURE dbcsr_dot_z, dbcsr_dot_c\n END INTERFACE\n\n INTERFACE dbcsr_set\n MODULE PROCEDURE dbcsr_set_d, dbcsr_set_s, dbcsr_set_c, dbcsr_set_z\n END INTERFACE\n\n INTERFACE dbcsr_add\n MODULE PROCEDURE dbcsr_add_d, dbcsr_add_s, dbcsr_add_c, dbcsr_add_z\n END INTERFACE\n\n INTERFACE dbcsr_add_on_diag\n MODULE PROCEDURE dbcsr_add_on_diag_d, dbcsr_add_on_diag_s\n MODULE PROCEDURE dbcsr_add_on_diag_c, dbcsr_add_on_diag_z\n END INTERFACE\n\n INTERFACE dbcsr_get_diag\n MODULE PROCEDURE dbcsr_get_diag_d, dbcsr_get_diag_s\n MODULE PROCEDURE dbcsr_get_diag_c, dbcsr_get_diag_z\n END INTERFACE\n\n INTERFACE dbcsr_set_diag\n MODULE PROCEDURE dbcsr_set_diag_d, dbcsr_set_diag_s\n MODULE PROCEDURE dbcsr_set_diag_c, dbcsr_set_diag_z\n END INTERFACE\n\n INTERFACE dbcsr_scale\n MODULE PROCEDURE dbcsr_scale_d, dbcsr_scale_s, dbcsr_scale_c, dbcsr_scale_z\n END INTERFACE\n\n INTERFACE dbcsr_scale_by_vector\n MODULE PROCEDURE dbcsr_scale_by_vector_d, dbcsr_scale_by_vector_s\n MODULE PROCEDURE dbcsr_scale_by_vector_c, dbcsr_scale_by_vector_z\n END INTERFACE\n\n INTERFACE dbcsr_multiply\n MODULE PROCEDURE dbcsr_multiply_d, dbcsr_multiply_s, dbcsr_multiply_c, dbcsr_multiply_z\n END INTERFACE\n\n INTERFACE dbcsr_get_block_p\n MODULE PROCEDURE dbcsr_get_block_p_d, dbcsr_get_block_p_s\n MODULE PROCEDURE dbcsr_get_block_p_z, dbcsr_get_block_p_c\n MODULE PROCEDURE dbcsr_get_2d_block_p_d, dbcsr_get_2d_block_p_s\n MODULE PROCEDURE dbcsr_get_2d_block_p_z, dbcsr_get_2d_block_p_c\n MODULE PROCEDURE dbcsr_get_block_notrans_p_d, dbcsr_get_block_notrans_p_s\n MODULE PROCEDURE dbcsr_get_block_notrans_p_z, dbcsr_get_block_notrans_p_c\n MODULE PROCEDURE dbcsr_get_2d_block_notrans_p_d, dbcsr_get_2d_block_notrans_p_s\n MODULE PROCEDURE dbcsr_get_2d_block_notrans_p_z, dbcsr_get_2d_block_notrans_p_c\n END INTERFACE\n\n INTERFACE dbcsr_put_block\n MODULE PROCEDURE dbcsr_put_block_d, dbcsr_put_block_s, dbcsr_put_block_z, dbcsr_put_block_c\n MODULE PROCEDURE dbcsr_put_block2d_d, dbcsr_put_block2d_s, dbcsr_put_block2d_z, dbcsr_put_block2d_c\n END INTERFACE\n\n INTERFACE dbcsr_iterator_next_block\n MODULE PROCEDURE dbcsr_iterator_next_block_index\n MODULE PROCEDURE dbcsr_iterator_next_2d_block_d, dbcsr_iterator_next_2d_block_s\n MODULE PROCEDURE dbcsr_iterator_next_2d_block_c, dbcsr_iterator_next_2d_block_z\n MODULE PROCEDURE dbcsr_iterator_next_1d_block_d, dbcsr_iterator_next_1d_block_s\n MODULE PROCEDURE dbcsr_iterator_next_1d_block_c, dbcsr_iterator_next_1d_block_z\n MODULE PROCEDURE dbcsr_iterator_next_2d_block_notrans_d, dbcsr_iterator_next_2d_block_notrans_s\n MODULE PROCEDURE dbcsr_iterator_next_2d_block_notrans_c, dbcsr_iterator_next_2d_block_notrans_z\n MODULE PROCEDURE dbcsr_iterator_next_1d_block_notrans_d, dbcsr_iterator_next_1d_block_notrans_s\n MODULE PROCEDURE dbcsr_iterator_next_1d_block_notrans_c, dbcsr_iterator_next_1d_block_notrans_z\n END INTERFACE\n\n INTERFACE dbcsr_reserve_block2d\n MODULE PROCEDURE dbcsr_reserve_block2d_d, dbcsr_reserve_block2d_s\n MODULE PROCEDURE dbcsr_reserve_block2d_c, dbcsr_reserve_block2d_z\n END INTERFACE\n\n INTERFACE dbcsr_csr_create\n MODULE PROCEDURE csr_create_new, csr_create_template\n END INTERFACE\n\n INTERFACE dbcsr_get_wms_data_p\n MODULE PROCEDURE dbcsr_get_wms_data_s, dbcsr_get_wms_data_c\n MODULE PROCEDURE dbcsr_get_wms_data_d, dbcsr_get_wms_data_z\n END INTERFACE\n\n INTERFACE dbcsr_get_data_p\n MODULE PROCEDURE dbcsr_get_data_s, dbcsr_get_data_c, dbcsr_get_data_d, dbcsr_get_data_z\n END INTERFACE\n\n INTERFACE dbcsr_norm\n MODULE PROCEDURE dbcsr_norm_scalar\n MODULE PROCEDURE dbcsr_norm_r8_vec\n END INTERFACE dbcsr_norm\n\n PRIVATE\n\nCONTAINS\n\n SUBROUTINE dbcsr_mp_grid_setup(dist)\n TYPE(dbcsr_distribution_type), INTENT(INOUT) :: dist\n\n CALL dbcsr_mp_grid_setup_prv(dist%prv%d%mp_env)\n END SUBROUTINE dbcsr_mp_grid_setup\n\n SUBROUTINE dbcsr_setname(matrix, newname)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n CHARACTER(len=*), INTENT(IN) :: newname\n\n CALL dbcsr_setname_prv(matrix%prv, newname)\n END SUBROUTINE dbcsr_setname\n\n FUNCTION dbcsr_gershgorin_norm(matrix) RESULT(norm)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n REAL(KIND=real_8) :: norm\n\n norm = dbcsr_gershgorin_norm_prv(matrix%prv)\n END FUNCTION dbcsr_gershgorin_norm\n\n FUNCTION dbcsr_frobenius_norm(matrix, local) RESULT(norm)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n LOGICAL, INTENT(in), OPTIONAL :: local\n REAL(KIND=real_8) :: norm\n\n norm = dbcsr_frobenius_norm_prv(matrix%prv, local)\n END FUNCTION dbcsr_frobenius_norm\n\n FUNCTION dbcsr_maxabs(matrix) RESULT(norm)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n REAL(KIND=real_8) :: norm\n\n norm = dbcsr_maxabs_prv(matrix%prv)\n END FUNCTION dbcsr_maxabs\n\n SUBROUTINE dbcsr_complete_redistribute(matrix, redist, keep_sparsity, summation)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: redist\n LOGICAL, INTENT(IN), OPTIONAL :: keep_sparsity, summation\n\n CALL dbcsr_complete_redistribute_prv(matrix%prv, redist%prv, keep_sparsity, summation)\n END SUBROUTINE dbcsr_complete_redistribute\n\n SUBROUTINE dbcsr_reserve_blocks(matrix, rows, cols, blk_pointers)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, DIMENSION(:), INTENT(IN) :: rows, cols\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: blk_pointers\n\n CALL dbcsr_reserve_blocks_prv(matrix%prv, rows, cols, blk_pointers)\n END SUBROUTINE dbcsr_reserve_blocks\n\n SUBROUTINE dbcsr_reserve_all_blocks(matrix)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n\n CALL dbcsr_reserve_all_blocks_prv(matrix%prv)\n END SUBROUTINE dbcsr_reserve_all_blocks\n\n SUBROUTINE dbcsr_reserve_diag_blocks(matrix)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n\n CALL dbcsr_reserve_diag_blocks_prv(matrix%prv)\n END SUBROUTINE dbcsr_reserve_diag_blocks\n\n SUBROUTINE dbcsr_add_work_coordinate(matrix, index_matrix, row, col, blk, index)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: index_matrix, row, col\n INTEGER, INTENT(IN), OPTIONAL :: blk\n INTEGER, INTENT(OUT), OPTIONAL :: index\n\n CALL add_work_coordinate_prv(matrix%prv%wms(index_matrix), row, col, blk, index)\n END SUBROUTINE dbcsr_add_work_coordinate\n\n SUBROUTINE dbcsr_set_work_size(matrix, index_matrix, newvalue)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: index_matrix, newvalue\n\n matrix%prv%wms(index_matrix)%datasize = newvalue\n END SUBROUTINE dbcsr_set_work_size\n\n SUBROUTINE dbcsr_init_random(matrix, keep_sparsity, mini_seed)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n LOGICAL, OPTIONAL :: keep_sparsity\n INTEGER, INTENT(IN), OPTIONAL :: mini_seed\n\n CALL dbcsr_init_random_prv(matrix%prv, keep_sparsity=keep_sparsity, mini_seed=mini_seed)\n END SUBROUTINE dbcsr_init_random\n\n PURE FUNCTION dbcsr_get_data_type(matrix) RESULT(data_type)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: data_type\n\n data_type = dbcsr_get_data_type_prv(matrix%prv)\n END FUNCTION dbcsr_get_data_type\n\n PURE FUNCTION dbcsr_valid_index(matrix) RESULT(valid_index)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n LOGICAL :: valid_index\n\n valid_index = dbcsr_valid_index_prv(matrix%prv)\n END FUNCTION dbcsr_valid_index\n\n SUBROUTINE dbcsr_get_stored_coordinates(matrix, row, column, processor)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: row, column\n INTEGER, INTENT(OUT), OPTIONAL :: processor\n\n CALL dbcsr_get_stored_coordinates_prv(matrix%prv, row, column, processor)\n END SUBROUTINE dbcsr_get_stored_coordinates\n\n PURE FUNCTION dbcsr_get_num_blocks(matrix) RESULT(num_blocks)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: num_blocks\n\n num_blocks = dbcsr_get_num_blocks_prv(matrix%prv)\n END FUNCTION dbcsr_get_num_blocks\n\n FUNCTION dbcsr_get_data_size(matrix) RESULT(data_size)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: data_size\n\n data_size = dbcsr_get_data_size_prv(matrix%prv)\n END FUNCTION dbcsr_get_data_size\n\n PURE FUNCTION dbcsr_get_matrix_type(matrix) RESULT(matrix_type)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n CHARACTER :: matrix_type\n\n matrix_type = dbcsr_get_matrix_type_prv(matrix%prv)\n END FUNCTION dbcsr_get_matrix_type\n\n FUNCTION dbcsr_get_occupation(matrix) RESULT(occupation)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n REAL(KIND=real_8) :: occupation\n\n occupation = dbcsr_get_occupation_prv(matrix%prv)\n END FUNCTION dbcsr_get_occupation\n\n FUNCTION dbcsr_nblkrows_total(matrix) RESULT(nblkrows_total)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nblkrows_total\n\n nblkrows_total = dbcsr_nblkrows_total_prv(matrix%prv)\n END FUNCTION dbcsr_nblkrows_total\n\n FUNCTION dbcsr_nblkcols_total(matrix) RESULT(nblkcols_total)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nblkcols_total\n\n nblkcols_total = dbcsr_nblkcols_total_prv(matrix%prv)\n END FUNCTION dbcsr_nblkcols_total\n\n FUNCTION dbcsr_nblkrows_local(matrix) RESULT(nblkrows_local)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nblkrows_local\n\n nblkrows_local = dbcsr_nblkrows_local_prv(matrix%prv)\n END FUNCTION dbcsr_nblkrows_local\n\n FUNCTION dbcsr_nblkcols_local(matrix) RESULT(nblkcols_local)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nblkcols_local\n\n nblkcols_local = dbcsr_nblkcols_local_prv(matrix%prv)\n END FUNCTION dbcsr_nblkcols_local\n\n FUNCTION dbcsr_nfullrows_total(matrix) RESULT(nfullrows_total)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nfullrows_total\n\n nfullrows_total = dbcsr_nfullrows_total_prv(matrix%prv)\n END FUNCTION dbcsr_nfullrows_total\n\n FUNCTION dbcsr_nfullcols_total(matrix) RESULT(nfullcols_total)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: nfullcols_total\n\n nfullcols_total = dbcsr_nfullcols_total_prv(matrix%prv)\n END FUNCTION dbcsr_nfullcols_total\n\n PURE FUNCTION dbcsr_iterator_blocks_left(iterator) RESULT(blocks_left)\n TYPE(dbcsr_iterator_type), INTENT(IN) :: iterator\n LOGICAL :: blocks_left\n\n blocks_left = dbcsr_iterator_blocks_left_prv(iterator%prv)\n END FUNCTION dbcsr_iterator_blocks_left\n\n SUBROUTINE dbcsr_iterator_stop(iterator)\n TYPE(dbcsr_iterator_type), INTENT(INOUT) :: iterator\n\n CALL dbcsr_iterator_stop_prv(iterator%prv)\n END SUBROUTINE dbcsr_iterator_stop\n\n SUBROUTINE dbcsr_iterator_start(iterator, matrix, shared, dynamic, &\n dynamic_byrows, contiguous_pointers, read_only)\n TYPE(dbcsr_iterator_type), INTENT(OUT) :: iterator\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n LOGICAL, INTENT(IN), OPTIONAL :: shared, dynamic, dynamic_byrows, &\n contiguous_pointers, read_only\n\n CALL dbcsr_iterator_start_prv(iterator%prv, matrix%prv, shared, dynamic, &\n dynamic_byrows, contiguous_pointers, read_only)\n END SUBROUTINE dbcsr_iterator_start\n\n SUBROUTINE dbcsr_iterator_next_block_index(iterator, row, column, blk, blk_p)\n !! Gets the index information of the next block, no data.\n\n TYPE(dbcsr_iterator_type), INTENT(INOUT) :: iterator\n !! the iterator\n INTEGER, INTENT(OUT) :: row, column, blk\n !! row of the data block\n !! column of the data block\n !! block number\n INTEGER, INTENT(OUT), OPTIONAL :: blk_p\n !! index into block data array\n\n CALL dbcsr_iterator_next_block_prv(iterator%prv, row=row, column=column, blk=blk, blk_p=blk_p)\n END SUBROUTINE dbcsr_iterator_next_block_index\n\n SUBROUTINE dbcsr_get_info(matrix, nblkrows_total, nblkcols_total, &\n nfullrows_total, nfullcols_total, &\n nblkrows_local, nblkcols_local, &\n nfullrows_local, nfullcols_local, &\n my_prow, my_pcol, &\n local_rows, local_cols, proc_row_dist, proc_col_dist, &\n row_blk_size, col_blk_size, row_blk_offset, col_blk_offset, &\n distribution, name, matrix_type, data_type, &\n group)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, INTENT(OUT), OPTIONAL :: nblkrows_total, nblkcols_total, nfullrows_total, &\n nfullcols_total, nblkrows_local, nblkcols_local, nfullrows_local, nfullcols_local, &\n my_prow, my_pcol\n INTEGER, DIMENSION(:), OPTIONAL, POINTER :: local_rows, local_cols, proc_row_dist, &\n proc_col_dist, &\n row_blk_size, col_blk_size, &\n row_blk_offset, col_blk_offset\n TYPE(dbcsr_distribution_type), INTENT(OUT), &\n OPTIONAL :: distribution\n CHARACTER(len=*), INTENT(OUT), OPTIONAL :: name\n CHARACTER, INTENT(OUT), OPTIONAL :: matrix_type\n INTEGER, INTENT(OUT), OPTIONAL :: data_type, group\n\n TYPE(dbcsr_dist_prv_obj) :: dist\n TYPE(mp_comm_type) :: my_group\n\n CALL dbcsr_get_info_prv(matrix=matrix%prv, &\n nblkrows_total=nblkrows_total, &\n nblkcols_total=nblkcols_total, &\n nfullrows_total=nfullrows_total, &\n nfullcols_total=nfullcols_total, &\n nblkrows_local=nblkrows_local, &\n nblkcols_local=nblkcols_local, &\n nfullrows_local=nfullrows_local, &\n nfullcols_local=nfullcols_local, &\n my_prow=my_prow, &\n my_pcol=my_pcol, &\n local_rows=local_rows, &\n local_cols=local_cols, &\n proc_row_dist=proc_row_dist, &\n proc_col_dist=proc_col_dist, &\n row_blk_size=row_blk_size, &\n col_blk_size=col_blk_size, &\n row_blk_offset=row_blk_offset, &\n col_blk_offset=col_blk_offset, &\n distribution=dist, &\n name=name, &\n matrix_type=matrix_type, &\n data_type=data_type, &\n group=my_group)\n\n IF (PRESENT(distribution)) THEN\n distribution%prv = dist\n END IF\n\n IF (PRESENT(group)) group = my_group%get_handle()\n\n END SUBROUTINE dbcsr_get_info\n\n SUBROUTINE dbcsr_distribution_get(dist, row_dist, col_dist, &\n nrows, ncols, has_threads, &\n group, mynode, numnodes, nprows, npcols, myprow, mypcol, pgrid, &\n subgroups_defined, prow_group, pcol_group)\n TYPE(dbcsr_distribution_type), INTENT(IN) :: dist\n INTEGER, DIMENSION(:), OPTIONAL, POINTER :: row_dist, col_dist\n INTEGER, INTENT(OUT), OPTIONAL :: nrows, ncols\n LOGICAL, INTENT(OUT), OPTIONAL :: has_threads\n INTEGER, INTENT(OUT), OPTIONAL :: group, mynode, numnodes, nprows, npcols, &\n myprow, mypcol\n INTEGER, DIMENSION(:, :), OPTIONAL, POINTER :: pgrid\n LOGICAL, INTENT(OUT), OPTIONAL :: subgroups_defined\n INTEGER, INTENT(OUT), OPTIONAL :: prow_group, pcol_group\n\n TYPE(mp_comm_type) :: my_group, my_prow_group, my_pcol_group\n\n call dbcsr_distribution_get_prv(dist%prv, row_dist, col_dist, &\n nrows, ncols, has_threads, &\n my_group, mynode, numnodes, nprows, npcols, myprow, mypcol, pgrid, &\n subgroups_defined, my_prow_group, my_pcol_group)\n\n IF (PRESENT(group)) group = my_group%get_handle()\n IF (PRESENT(prow_group)) prow_group = my_prow_group%get_handle()\n IF (PRESENT(pcol_group)) pcol_group = my_pcol_group%get_handle()\n END SUBROUTINE dbcsr_distribution_get\n\n SUBROUTINE dbcsr_distribution_hold(dist)\n TYPE(dbcsr_distribution_type) :: dist\n\n CALL dbcsr_distribution_hold_prv(dist%prv)\n END SUBROUTINE dbcsr_distribution_hold\n\n SUBROUTINE dbcsr_distribution_release(dist)\n TYPE(dbcsr_distribution_type) :: dist\n\n CALL dbcsr_distribution_release_prv(dist%prv)\n END SUBROUTINE dbcsr_distribution_release\n\n SUBROUTINE dbcsr_norm_scalar(matrix, which_norm, norm_scalar)\n\n TYPE(dbcsr_type), INTENT(INOUT), TARGET :: matrix\n INTEGER, INTENT(IN) :: which_norm\n REAL(dp), INTENT(OUT) :: norm_scalar\n\n CALL dbcsr_norm_scalar_prv(matrix%prv, which_norm, norm_scalar)\n END SUBROUTINE dbcsr_norm_scalar\n\n SUBROUTINE dbcsr_norm_r8_vec(matrix, which_norm, norm_vector)\n\n TYPE(dbcsr_type), INTENT(INOUT), TARGET :: matrix\n INTEGER, INTENT(IN) :: which_norm\n REAL(dp), DIMENSION(:), INTENT(OUT) :: norm_vector\n\n CALL dbcsr_norm_r8_vec_prv(matrix%prv, which_norm, norm_vector)\n END SUBROUTINE dbcsr_norm_r8_vec\n\n SUBROUTINE dbcsr_replicate_all(matrix)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n\n CALL dbcsr_replicate_all_prv(matrix%prv)\n END SUBROUTINE dbcsr_replicate_all\n\n SUBROUTINE dbcsr_distribute(matrix, fast)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n LOGICAL, INTENT(in), OPTIONAL :: fast\n\n CALL dbcsr_distribute_prv(matrix%prv, fast)\n END SUBROUTINE dbcsr_distribute\n\n SUBROUTINE dbcsr_release_p(matrix)\n TYPE(dbcsr_type), POINTER :: matrix\n\n IF (ASSOCIATED(matrix)) THEN\n CALL dbcsr_release(matrix)\n DEALLOCATE (matrix)\n END IF\n END SUBROUTINE dbcsr_release_p\n\n SUBROUTINE dbcsr_release(matrix)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n\n CALL dbcsr_release_prv(matrix%prv)\n END SUBROUTINE dbcsr_release\n\n SUBROUTINE dbcsr_init_p(matrix)\n TYPE(dbcsr_type), POINTER :: matrix\n\n IF (ASSOCIATED(matrix)) THEN\n CALL dbcsr_release(matrix)\n DEALLOCATE (matrix)\n END IF\n\n ALLOCATE (matrix)\n END SUBROUTINE dbcsr_init_p\n\n SUBROUTINE dbcsr_print(matrix, nodata, matlab_format, variable_name, unit_nr)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n LOGICAL, INTENT(IN), OPTIONAL :: nodata, matlab_format\n CHARACTER(*), INTENT(in), OPTIONAL :: variable_name\n INTEGER, OPTIONAL :: unit_nr\n\n CALL dbcsr_print_prv(matrix%prv, nodata, matlab_format, variable_name, unit_nr)\n END SUBROUTINE dbcsr_print\n\n SUBROUTINE dbcsr_print_block_sum(matrix, unit_nr)\n !! Prints the sum of the elements in each block\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, OPTIONAL :: unit_nr\n\n CALL dbcsr_print_block_sum_prv(matrix%prv, unit_nr)\n END SUBROUTINE dbcsr_print_block_sum\n\n FUNCTION dbcsr_checksum(matrix, local, pos) RESULT(checksum)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n LOGICAL, INTENT(IN), OPTIONAL :: local, pos\n REAL(KIND=dp) :: checksum\n\n checksum = dbcsr_checksum_prv(matrix%prv, local=local, pos=pos)\n END FUNCTION dbcsr_checksum\n\n SUBROUTINE dbcsr_sum_replicated(matrix)\n TYPE(dbcsr_type), INTENT(inout) :: matrix\n\n CALL dbcsr_sum_replicated_prv(matrix%prv)\n END SUBROUTINE dbcsr_sum_replicated\n\n SUBROUTINE dbcsr_triu(matrix)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n\n CALL dbcsr_triu_prv(matrix%prv)\n END SUBROUTINE dbcsr_triu\n\n SUBROUTINE dbcsr_verify_matrix(matrix, verbosity, local)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN), OPTIONAL :: verbosity\n LOGICAL, INTENT(IN), OPTIONAL :: local\n\n CALL dbcsr_verify_matrix_prv(matrix%prv, verbosity, local)\n END SUBROUTINE dbcsr_verify_matrix\n\n SUBROUTINE dbcsr_distribution_new(dist, template, group, pgrid, row_dist, col_dist, &\n reuse_arrays)\n !! Creates new distribution from blockr distributions\n\n TYPE(dbcsr_distribution_type), INTENT(OUT) :: dist\n !! distribution\n TYPE(dbcsr_distribution_type), INTENT(IN), &\n OPTIONAL :: template\n INTEGER, INTENT(IN), OPTIONAL :: group\n INTEGER, DIMENSION(:, :), OPTIONAL, POINTER :: pgrid\n INTEGER, DIMENSION(:), INTENT(INOUT), POINTER :: row_dist, col_dist\n LOGICAL, INTENT(IN), OPTIONAL :: reuse_arrays\n\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: cont_row_dist, cont_col_dist\n\n TYPE(mp_comm_type) :: my_mp_group\n\n ! Make the arrays contiguous, avoid change in the API\n ALLOCATE (cont_row_dist(SIZE(row_dist)), cont_col_dist(SIZE(col_dist)))\n cont_row_dist(:) = row_dist(:)\n cont_col_dist(:) = col_dist(:)\n\n IF (PRESENT(reuse_arrays)) THEN\n IF (reuse_arrays) THEN\n DEALLOCATE (row_dist, col_dist)\n NULLIFY (row_dist, col_dist)\n END IF\n END IF\n\n IF (PRESENT(group)) THEN\n CALL my_mp_group%set_handle(group)\n IF (PRESENT(template)) THEN\n call dbcsr_distribution_new_prv(dist%prv, template%prv, my_mp_group, pgrid, cont_row_dist, cont_col_dist, &\n reuse_arrays=.TRUE.)\n ELSE\n call dbcsr_distribution_new_prv(dist%prv, group=my_mp_group, pgrid=pgrid, &\n row_dist=cont_row_dist, col_dist=cont_col_dist, &\n reuse_arrays=.TRUE.)\n END IF\n ELSE\n IF (PRESENT(template)) THEN\n call dbcsr_distribution_new_prv(dist%prv, template%prv, pgrid=pgrid, row_dist=cont_row_dist, col_dist=cont_col_dist, &\n reuse_arrays=.TRUE.)\n ELSE\n call dbcsr_distribution_new_prv(dist%prv, pgrid=pgrid, &\n row_dist=cont_row_dist, col_dist=cont_col_dist, &\n reuse_arrays=.TRUE.)\n END IF\n END IF\n END SUBROUTINE dbcsr_distribution_new\n\n SUBROUTINE dbcsr_print_statistics(print_timers, callgraph_filename)\n !! Print statistics\n LOGICAL, INTENT(IN), OPTIONAL :: print_timers\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: callgraph_filename\n\n CALL dbcsr_print_statistics_prv(print_timers, callgraph_filename)\n END SUBROUTINE dbcsr_print_statistics\n\n SUBROUTINE dbcsr_finalize(matrix, reshuffle)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n LOGICAL, INTENT(IN), OPTIONAL :: reshuffle\n\n CALL dbcsr_finalize_prv(matrix%prv, reshuffle)\n END SUBROUTINE dbcsr_finalize\n\n SUBROUTINE dbcsr_work_create(matrix, nblks_guess, sizedata_guess, n, work_mutable)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN), OPTIONAL :: nblks_guess, sizedata_guess, n\n LOGICAL, INTENT(in), OPTIONAL :: work_mutable\n\n CALL dbcsr_work_create_prv(matrix%prv, nblks_guess, sizedata_guess, n, work_mutable)\n END SUBROUTINE dbcsr_work_create\n\n SUBROUTINE dbcsr_create_new(matrix, name, dist, matrix_type, &\n row_blk_size, col_blk_size, nze, data_type, reuse, &\n reuse_arrays, mutable_work, replication_type)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n CHARACTER(len=*), INTENT(IN) :: name\n TYPE(dbcsr_distribution_type), INTENT(IN) :: dist\n CHARACTER, INTENT(IN) :: matrix_type\n INTEGER, DIMENSION(:), INTENT(INOUT), POINTER :: row_blk_size, col_blk_size\n INTEGER, INTENT(IN), OPTIONAL :: nze, data_type\n LOGICAL, INTENT(IN), OPTIONAL :: reuse, reuse_arrays, mutable_work\n CHARACTER, INTENT(IN), OPTIONAL :: replication_type\n\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: cont_row_blk_size, cont_col_blk_size\n\n ! Make the array contiguous, avoid to change API\n ALLOCATE (cont_row_blk_size(SIZE(row_blk_size)), cont_col_blk_size(SIZE(col_blk_size)))\n cont_row_blk_size(:) = row_blk_size(:)\n cont_col_blk_size(:) = col_blk_size(:)\n IF (PRESENT(reuse_arrays)) THEN\n IF (reuse_arrays) THEN\n DEALLOCATE (row_blk_size, col_blk_size)\n NULLIFY (row_blk_size, col_blk_size)\n END IF\n END IF\n CALL dbcsr_create_prv(matrix%prv, name, dist%prv, &\n matrix_type, &\n cont_row_blk_size, cont_col_blk_size, nze=nze, &\n data_type=data_type, reuse=reuse, &\n reuse_arrays=.TRUE., &\n mutable_work=mutable_work, replication_type=replication_type)\n END SUBROUTINE dbcsr_create_new\n\n SUBROUTINE dbcsr_create_template(matrix, name, template, &\n dist, matrix_type, &\n row_blk_size, col_blk_size, nze, data_type, &\n reuse_arrays, mutable_work, replication_type)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: name\n TYPE(dbcsr_type), INTENT(IN) :: template\n TYPE(dbcsr_distribution_type), INTENT(IN), &\n OPTIONAL :: dist\n CHARACTER, INTENT(IN), OPTIONAL :: matrix_type\n INTEGER, DIMENSION(:), INTENT(INOUT), OPTIONAL, &\n POINTER :: row_blk_size, col_blk_size\n INTEGER, INTENT(IN), OPTIONAL :: nze, data_type\n LOGICAL, INTENT(IN), OPTIONAL :: reuse_arrays, mutable_work\n CHARACTER, INTENT(IN), OPTIONAL :: replication_type\n\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: cont_row_blk_size, cont_col_blk_size\n\n IF (PRESENT(row_blk_size) .NEQV. PRESENT(col_blk_size)) THEN\n DBCSR_ABORT(\"Both row_blk_size and col_blk_size must be provided!\")\n END IF\n\n ! Make the array contiguous, avoid to change API\n IF (PRESENT(row_blk_size)) THEN\n ! Avoid to change API\n ALLOCATE (cont_row_blk_size(SIZE(row_blk_size)), cont_col_blk_size(SIZE(col_blk_size)))\n cont_row_blk_size(:) = row_blk_size(:)\n cont_col_blk_size(:) = col_blk_size(:)\n IF (PRESENT(reuse_arrays)) THEN\n IF (reuse_arrays) THEN\n DEALLOCATE (row_blk_size, col_blk_size)\n NULLIFY (row_blk_size, col_blk_size)\n END IF\n END IF\n END IF\n\n IF (PRESENT(dist)) THEN\n IF (PRESENT(row_blk_size)) THEN\n CALL dbcsr_create_prv(matrix%prv, template%prv, name, &\n dist%prv, matrix_type, &\n row_blk_size=cont_row_blk_size, col_blk_size=cont_col_blk_size, &\n nze=nze, data_type=data_type, &\n reuse_arrays=.TRUE., mutable_work=mutable_work, &\n replication_type=replication_type)\n ELSE\n CALL dbcsr_create_prv(matrix%prv, template%prv, name, &\n dist%prv, matrix_type, &\n nze=nze, data_type=data_type, &\n reuse_arrays=reuse_arrays, mutable_work=mutable_work, &\n replication_type=replication_type)\n END IF\n ELSE\n IF (PRESENT(row_blk_size)) THEN\n CALL dbcsr_create_prv(matrix%prv, template%prv, name, &\n matrix_type=matrix_type, &\n row_blk_size=cont_row_blk_size, col_blk_size=cont_col_blk_size, &\n nze=nze, data_type=data_type, &\n reuse_arrays=.TRUE., mutable_work=mutable_work, &\n replication_type=replication_type)\n ELSE\n CALL dbcsr_create_prv(matrix%prv, template%prv, name, &\n matrix_type=matrix_type, &\n nze=nze, data_type=data_type, &\n reuse_arrays=reuse_arrays, mutable_work=mutable_work, &\n replication_type=replication_type)\n END IF\n END IF\n END SUBROUTINE dbcsr_create_template\n\n SUBROUTINE dbcsr_filter(matrix, eps, method, use_absolute, filter_diag)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n REAL(dp), INTENT(IN) :: eps\n INTEGER, INTENT(IN), OPTIONAL :: method\n LOGICAL, INTENT(in), OPTIONAL :: use_absolute, filter_diag\n\n CALL dbcsr_filter_anytype(matrix%prv, dbcsr_conform_scalar_prv(eps, matrix%prv), &\n method, use_absolute, filter_diag)\n END SUBROUTINE dbcsr_filter\n\n SUBROUTINE dbcsr_get_block_diag(matrix, diag)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: diag\n\n CALL dbcsr_get_block_diag_prv(matrix%prv, diag%prv)\n END SUBROUTINE dbcsr_get_block_diag\n\n SUBROUTINE dbcsr_binary_write(matrix, filepath)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n CHARACTER(LEN=*), INTENT(IN) :: filepath\n\n CALL dbcsr_binary_write_prv(matrix%prv, filepath)\n END SUBROUTINE dbcsr_binary_write\n\n SUBROUTINE dbcsr_binary_read(filepath, distribution, matrix_new)\n CHARACTER(len=*), INTENT(IN) :: filepath\n TYPE(dbcsr_distribution_type), INTENT(IN) :: distribution\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_new\n\n CALL dbcsr_binary_read_prv(filepath, distribution%prv, matrix_new%prv)\n END SUBROUTINE dbcsr_binary_read\n\n SUBROUTINE dbcsr_copy(matrix_b, matrix_a, name, keep_sparsity, &\n shallow_data, keep_imaginary, matrix_type)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_b\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n CHARACTER(LEN=*), INTENT(IN), OPTIONAL :: name\n LOGICAL, INTENT(IN), OPTIONAL :: keep_sparsity, shallow_data, &\n keep_imaginary\n CHARACTER, INTENT(IN), OPTIONAL :: matrix_type\n\n CALL dbcsr_copy_prv(matrix_b%prv, matrix_a%prv, name, keep_sparsity, &\n shallow_data, keep_imaginary, matrix_type)\n END SUBROUTINE dbcsr_copy\n\n SUBROUTINE dbcsr_copy_into_existing(matrix_b, matrix_a)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_b\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n\n CALL dbcsr_copy_into_existing_prv(matrix_b%prv, matrix_a%prv)\n END SUBROUTINE dbcsr_copy_into_existing\n\n SUBROUTINE dbcsr_desymmetrize(matrix_a, matrix_b)\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_b\n\n CALL dbcsr_desymmetrize_deep_prv(matrix_a%prv, matrix_b%prv, untransposed_data=.TRUE.)\n END SUBROUTINE dbcsr_desymmetrize\n\n SUBROUTINE dbcsr_transposed(transposed, normal, shallow_data_copy, &\n transpose_data, transpose_distribution, use_distribution)\n\n TYPE(dbcsr_type), INTENT(INOUT) :: transposed\n TYPE(dbcsr_type), INTENT(IN) :: normal\n LOGICAL, INTENT(IN), OPTIONAL :: shallow_data_copy, transpose_data, &\n transpose_distribution\n TYPE(dbcsr_distribution_type), INTENT(IN), &\n OPTIONAL :: use_distribution\n\n IF (PRESENT(use_distribution)) THEN\n CALL dbcsr_transposed_prv(transposed%prv, normal%prv, shallow_data_copy, &\n transpose_data, transpose_distribution, &\n use_distribution%prv)\n ELSE\n CALL dbcsr_transposed_prv(transposed%prv, normal%prv, shallow_data_copy, &\n transpose_data, transpose_distribution)\n END IF\n END SUBROUTINE dbcsr_transposed\n\n SUBROUTINE dbcsr_function_of_elements(matrix_a, func, a0, a1, a2)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n INTEGER, INTENT(IN) :: func\n REAL(kind=dp), INTENT(IN), OPTIONAL :: a0, a1, a2\n\n CALL dbcsr_function_of_elements_prv(matrix_a%prv, func, a0, a1, a2)\n END SUBROUTINE dbcsr_function_of_elements\n\n SUBROUTINE dbcsr_hadamard_product(matrix_a, matrix_b, matrix_c, b_assume_value)\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_c\n REAL(KIND=dp), INTENT(IN), OPTIONAL :: b_assume_value\n\n CALL dbcsr_hadamard_product_prv(matrix_a%prv, matrix_b%prv, matrix_c%prv, b_assume_value)\n END SUBROUTINE dbcsr_hadamard_product\n\n SUBROUTINE dbcsr_deallocate_matrix(matrix)\n !! Deallocates a DBCSR matrix for compatibility with CP2K\n\n TYPE(dbcsr_type), POINTER :: matrix\n !! DBCSR matrix\n\n CALL dbcsr_release(matrix)\n IF (dbcsr_valid_index(matrix)) &\n CALL dbcsr_abort(__LOCATION__, &\n 'You should not \"deallocate\" a referenced matrix. '// &\n 'Avoid pointers to DBCSR matrices.')\n DEALLOCATE (matrix)\n END SUBROUTINE dbcsr_deallocate_matrix\n\n PURE FUNCTION dbcsr_has_symmetry(matrix) RESULT(has_symmetry)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n LOGICAL :: has_symmetry\n\n has_symmetry = dbcsr_has_symmetry_prv(matrix%prv)\n END FUNCTION dbcsr_has_symmetry\n\n SUBROUTINE csr_create_new(csr_mat, nrows_total, ncols_total, nze_total, &\n nze_local, nrows_local, mp_group, data_type)\n TYPE(dbcsr_csr_type), INTENT(OUT) :: csr_mat\n INTEGER, INTENT(IN) :: nrows_total, ncols_total\n INTEGER(KIND=int_8) :: nze_total\n INTEGER, INTENT(IN) :: nze_local, nrows_local\n INTEGER, INTENT(IN) :: mp_group\n INTEGER, INTENT(IN), OPTIONAL :: data_type\n\n TYPE(mp_comm_type) :: my_mp_group\n\n CALL my_mp_group%set_handle(mp_group)\n\n CALL csr_create_new_prv(csr_mat, nrows_total, ncols_total, nze_total, &\n nze_local, nrows_local, my_mp_group, data_type)\n\n END SUBROUTINE csr_create_new\n\n SUBROUTINE dbcsr_csr_create_from_dbcsr(dbcsr_mat, csr_mat, dist_format, csr_sparsity, numnodes)\n\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n TYPE(dbcsr_csr_type), INTENT(OUT) :: csr_mat\n INTEGER :: dist_format\n TYPE(dbcsr_type), INTENT(IN), OPTIONAL :: csr_sparsity\n INTEGER, INTENT(IN), OPTIONAL :: numnodes\n\n IF (PRESENT(csr_sparsity)) THEN\n CALL csr_create_from_dbcsr_prv(dbcsr_mat%prv, csr_mat, dist_format, csr_sparsity%prv, numnodes)\n ELSE\n CALL csr_create_from_dbcsr_prv(dbcsr_mat%prv, csr_mat, dist_format, numnodes=numnodes)\n END IF\n END SUBROUTINE dbcsr_csr_create_from_dbcsr\n\n SUBROUTINE dbcsr_convert_csr_to_dbcsr(dbcsr_mat, csr_mat)\n\n TYPE(dbcsr_type), INTENT(INOUT) :: dbcsr_mat\n TYPE(dbcsr_csr_type), INTENT(INOUT) :: csr_mat\n\n CALL convert_csr_to_dbcsr_prv(dbcsr_mat%prv, csr_mat)\n END SUBROUTINE dbcsr_convert_csr_to_dbcsr\n\n SUBROUTINE dbcsr_convert_dbcsr_to_csr(dbcsr_mat, csr_mat)\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n TYPE(dbcsr_csr_type), INTENT(INOUT) :: csr_mat\n\n CALL convert_dbcsr_to_csr_prv(dbcsr_mat%prv, csr_mat)\n END SUBROUTINE dbcsr_convert_dbcsr_to_csr\n\n SUBROUTINE dbcsr_to_csr_filter(dbcsr_mat, csr_sparsity, eps)\n !! Apply filtering threshold eps to DBCSR blocks in order to improve\n !! CSR sparsity (currently only used for testing purposes)\n\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n TYPE(dbcsr_type), INTENT(OUT) :: csr_sparsity\n REAL(kind=real_8), INTENT(IN) :: eps\n\n CALL dbcsr_to_csr_filter_prv(dbcsr_mat%prv, csr_sparsity%prv, eps)\n END SUBROUTINE dbcsr_to_csr_filter\n\n SUBROUTINE dbcsr_clear(dbcsr_mat)\n !! Clear a matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: dbcsr_mat\n\n CALL dbcsr_clear_prv(dbcsr_mat%prv)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_add_block_node(matrix, block_row, block_col, block)\n !! Emulation of sparse_matrix_types/add_block_node mapped\n !! to add_real_matrix_block.... should not be used any longer\n !! It adds a block to the dbcsr matrix and returns a rank-2 pointer to the\n !! block. Currently it only and always uses the mutable data.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: block_row, block_col\n !! the row\n !! the column\n REAL(KIND=dp), DIMENSION(:, :), POINTER :: block\n !! the block to put\n\n call dbcsr_add_block_node_prv(matrix%prv, block_row, block_col, block)\n END SUBROUTINE dbcsr_add_block_node\n\n SUBROUTINE dbcsr_run_tests(mp_group, io_unit, nproc, matrix_sizes, trs, &\n bs_m, bs_n, bs_k, sparsities, alpha, beta, data_type, test_type, &\n n_loops, eps, retain_sparsity, always_checksum)\n\n INTEGER, INTENT(IN) :: mp_group, io_unit\n INTEGER, DIMENSION(:), POINTER :: nproc\n INTEGER, DIMENSION(:), INTENT(in) :: matrix_sizes\n LOGICAL, DIMENSION(2), INTENT(in) :: trs\n INTEGER, DIMENSION(:), POINTER :: bs_m, bs_n, bs_k\n REAL(kind=dp), DIMENSION(3), INTENT(in) :: sparsities\n REAL(kind=dp), INTENT(in) :: alpha, beta\n INTEGER, INTENT(IN) :: data_type, test_type, n_loops\n REAL(kind=dp), INTENT(in) :: eps\n LOGICAL, INTENT(in) :: retain_sparsity, always_checksum\n\n TYPE(mp_comm_type) :: my_mp_group\n\n CALL my_mp_group%set_handle(mp_group)\n\n CALL dbcsr_run_tests_prv(my_mp_group, io_unit, nproc, matrix_sizes, trs, &\n bs_m, bs_n, bs_k, sparsities, alpha, beta, data_type, test_type, &\n n_loops, eps, retain_sparsity, always_checksum)\n\n END SUBROUTINE dbcsr_run_tests\n\n #:include 'data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n SUBROUTINE dbcsr_reserve_block2d_${nametype1}$ (matrix, row, col, block, transposed, existed)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: row, col\n ${type1}$, DIMENSION(:, :), POINTER :: block\n LOGICAL, INTENT(IN), OPTIONAL :: transposed\n LOGICAL, INTENT(OUT), OPTIONAL :: existed\n\n CALL dbcsr_reserve_block2d_prv(matrix%prv, row, col, block, &\n transposed, existed)\n END SUBROUTINE dbcsr_reserve_block2d_${nametype1}$\n\n SUBROUTINE dbcsr_iterator_next_2d_block_${nametype1}$ (iterator, row, column, block, &\n transposed, block_number, &\n row_size, col_size, row_offset, col_offset)\n TYPE(dbcsr_iterator_type), INTENT(INOUT) :: iterator\n INTEGER, INTENT(OUT) :: row, column\n ${type1}$, DIMENSION(:, :), POINTER :: block\n LOGICAL, INTENT(OUT) :: transposed\n INTEGER, INTENT(OUT), OPTIONAL :: block_number, row_size, &\n col_size, row_offset, &\n col_offset\n\n CALL dbcsr_iterator_next_block_prv(iterator%prv, row, column, block, transposed, &\n block_number, row_size, col_size, row_offset, col_offset)\n END SUBROUTINE dbcsr_iterator_next_2d_block_${nametype1}$\n\n SUBROUTINE dbcsr_iterator_next_2d_block_notrans_${nametype1}$ (iterator, row, column, block, &\n block_number, &\n row_size, col_size, row_offset, col_offset)\n TYPE(dbcsr_iterator_type), INTENT(INOUT) :: iterator\n INTEGER, INTENT(OUT) :: row, column\n ${type1}$, DIMENSION(:, :), POINTER :: block\n INTEGER, INTENT(OUT), OPTIONAL :: block_number, row_size, &\n col_size, row_offset, &\n col_offset\n\n LOGICAL :: tr\n\n CALL dbcsr_iterator_next_block_prv(iterator%prv, row, column, block, tr, &\n block_number, row_size, col_size, row_offset, col_offset)\n IF (tr) DBCSR_ABORT(\"Block is transposed!\")\n END SUBROUTINE dbcsr_iterator_next_2d_block_notrans_${nametype1}$\n\n! **************************************************************************************************\n! *************************************************************************************************\n SUBROUTINE dbcsr_iterator_next_1d_block_${nametype1}$ (iterator, row, column, block, &\n transposed, block_number, &\n row_size, col_size, row_offset, col_offset)\n TYPE(dbcsr_iterator_type), INTENT(INOUT) :: iterator\n INTEGER, INTENT(OUT) :: row, column\n ${type1}$, DIMENSION(:), POINTER :: block\n LOGICAL, INTENT(OUT) :: transposed\n INTEGER, INTENT(OUT), OPTIONAL :: block_number, row_size, &\n col_size, row_offset, &\n col_offset\n\n CALL dbcsr_iterator_next_block_prv(iterator%prv, row, column, block, &\n transposed, block_number, row_size, col_size, row_offset, col_offset)\n END SUBROUTINE dbcsr_iterator_next_1d_block_${nametype1}$\n\n! **************************************************************************************************\n! *************************************************************************************************\n SUBROUTINE dbcsr_iterator_next_1d_block_notrans_${nametype1}$ (iterator, row, column, block, &\n block_number, &\n row_size, col_size, row_offset, col_offset)\n TYPE(dbcsr_iterator_type), INTENT(INOUT) :: iterator\n INTEGER, INTENT(OUT) :: row, column\n ${type1}$, DIMENSION(:), POINTER :: block\n INTEGER, INTENT(OUT), OPTIONAL :: block_number, row_size, &\n col_size, row_offset, &\n col_offset\n\n LOGICAL :: tr\n\n CALL dbcsr_iterator_next_block_prv(iterator%prv, row, column, block, &\n tr, block_number, row_size, col_size, row_offset, col_offset)\n IF (tr) DBCSR_ABORT(\"Block is transposed!\")\n END SUBROUTINE dbcsr_iterator_next_1d_block_notrans_${nametype1}$\n\n SUBROUTINE dbcsr_put_block2d_${nametype1}$ (matrix, row, col, block, &\n summation, scale)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: row, col\n ${type1}$, DIMENSION(:, :), INTENT(IN) :: block\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n ${type1}$, INTENT(IN), OPTIONAL :: scale\n\n CALL dbcsr_put_block_prv(matrix%prv, row, col, block, summation=summation, scale=scale)\n END SUBROUTINE dbcsr_put_block2d_${nametype1}$\n\n SUBROUTINE dbcsr_put_block_${nametype1}$ (matrix, row, col, block, &\n summation, scale)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: row, col\n ${type1}$, DIMENSION(:), INTENT(IN) :: block\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n ${type1}$, INTENT(IN), OPTIONAL :: scale\n\n CALL dbcsr_put_block_prv(matrix%prv, row, col, block, summation=summation, scale=scale)\n END SUBROUTINE dbcsr_put_block_${nametype1}$\n\n SUBROUTINE dbcsr_get_2d_block_p_${nametype1}$ (matrix, row, col, block, tr, found, row_size, col_size)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: row, col\n ${type1}$, DIMENSION(:, :), POINTER :: block\n LOGICAL, INTENT(OUT) :: tr\n LOGICAL, INTENT(OUT) :: found\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n\n CALL dbcsr_get_block_p_prv(matrix%prv, row, col, block, tr, found, row_size, col_size)\n END SUBROUTINE dbcsr_get_2d_block_p_${nametype1}$\n\n SUBROUTINE dbcsr_get_2d_block_notrans_p_${nametype1}$ (matrix, row, col, block, found, row_size, col_size)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: row, col\n ${type1}$, DIMENSION(:, :), POINTER :: block\n LOGICAL, INTENT(OUT) :: found\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n\n LOGICAL :: tr\n\n CALL dbcsr_get_block_p_prv(matrix%prv, row, col, block, tr, found, row_size, col_size)\n IF (tr) DBCSR_ABORT(\"Block is transposed!\")\n END SUBROUTINE dbcsr_get_2d_block_notrans_p_${nametype1}$\n\n SUBROUTINE dbcsr_get_block_p_${nametype1}$ (matrix, row, col, block, tr, found, row_size, col_size)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: row, col\n ${type1}$, DIMENSION(:), POINTER :: block\n LOGICAL, INTENT(OUT) :: tr\n LOGICAL, INTENT(OUT) :: found\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n\n CALL dbcsr_get_block_p_prv(matrix%prv, row, col, block, tr, found, row_size, col_size)\n END SUBROUTINE dbcsr_get_block_p_${nametype1}$\n\n SUBROUTINE dbcsr_get_block_notrans_p_${nametype1}$ (matrix, row, col, block, found, row_size, col_size)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: row, col\n ${type1}$, DIMENSION(:), POINTER :: block\n LOGICAL, INTENT(OUT) :: found\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n\n LOGICAL :: tr\n\n CALL dbcsr_get_block_p_prv(matrix%prv, row, col, block, tr, found, row_size, col_size)\n IF (tr) DBCSR_ABORT(\"Block is transposed!\")\n END SUBROUTINE dbcsr_get_block_notrans_p_${nametype1}$\n\n SUBROUTINE dbcsr_trace_${nametype1}$ (matrix_a, trace)\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n ${type1}$, INTENT(OUT) :: trace\n\n CALL dbcsr_trace_prv(matrix_a%prv, trace)\n END SUBROUTINE dbcsr_trace_${nametype1}$\n\n SUBROUTINE dbcsr_dot_${nametype1}$ (matrix_a, matrix_b, result)\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n ${type1}$, INTENT(INOUT) :: result\n\n CALL dbcsr_dot_prv(matrix_a%prv, matrix_b%prv, result)\n END SUBROUTINE dbcsr_dot_${nametype1}$\n\n SUBROUTINE dbcsr_multiply_${nametype1}$ (transa, transb, &\n alpha, matrix_a, matrix_b, beta, matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, filter_eps, flop)\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb\n ${type1}$, INTENT(IN) :: alpha\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n ${type1}$, INTENT(IN) :: beta\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_c\n INTEGER, INTENT(IN), OPTIONAL :: first_row, last_row, &\n first_column, last_column, &\n first_k, last_k\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n REAL(kind=${kind2[n]}$), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER(int_8), INTENT(OUT), OPTIONAL :: flop\n\n CALL dbcsr_multiply_prv(transa, transb, &\n alpha, matrix_a%prv, matrix_b%prv, beta, matrix_c%prv, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, &\n filter_eps=filter_eps, &\n flop=flop)\n END SUBROUTINE dbcsr_multiply_${nametype1}$\n\n SUBROUTINE dbcsr_scale_by_vector_${nametype1}$ (matrix_a, alpha, side)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n ${type1}$, DIMENSION(:), INTENT(IN), TARGET :: alpha\n CHARACTER(LEN=*), INTENT(IN) :: side\n\n CALL dbcsr_scale_by_vector_prv(matrix_a%prv, alpha, side)\n END SUBROUTINE dbcsr_scale_by_vector_${nametype1}$\n\n SUBROUTINE dbcsr_scale_${nametype1}$ (matrix_a, alpha_scalar, last_column)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n ${type1}$, INTENT(IN) :: alpha_scalar\n INTEGER, INTENT(IN), OPTIONAL :: last_column\n\n CALL dbcsr_scale_prv(matrix_a%prv, alpha_scalar, last_column)\n END SUBROUTINE dbcsr_scale_${nametype1}$\n\n SUBROUTINE dbcsr_set_${nametype1}$ (matrix, alpha)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n ${type1}$, INTENT(IN) :: alpha\n\n CALL dbcsr_set_prv(matrix%prv, alpha)\n END SUBROUTINE dbcsr_set_${nametype1}$\n\n SUBROUTINE dbcsr_add_${nametype1}$ (matrix_a, matrix_b, alpha_scalar, beta_scalar)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n TYPE(dbcsr_type), INTENT(IN) :: matrix_b\n ${type1}$, INTENT(IN) :: alpha_scalar, beta_scalar\n\n CALL dbcsr_add_prv(matrix_a%prv, matrix_b%prv, alpha_scalar, beta_scalar)\n END SUBROUTINE dbcsr_add_${nametype1}$\n\n SUBROUTINE dbcsr_add_on_diag_${nametype1}$ (matrix, alpha_scalar)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n ${type1}$, INTENT(IN) :: alpha_scalar\n\n CALL dbcsr_add_on_diag_prv(matrix%prv, alpha_scalar)\n END SUBROUTINE dbcsr_add_on_diag_${nametype1}$\n\n SUBROUTINE dbcsr_set_diag_${nametype1}$ (matrix, diag)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n ${type1}$, DIMENSION(:), INTENT(IN) :: diag\n\n CALL dbcsr_set_diag_prv(matrix%prv, diag)\n END SUBROUTINE dbcsr_set_diag_${nametype1}$\n\n SUBROUTINE dbcsr_get_diag_${nametype1}$ (matrix, diag)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n ${type1}$, DIMENSION(:), INTENT(OUT) :: diag\n\n CALL dbcsr_get_diag_prv(matrix%prv, diag)\n END SUBROUTINE dbcsr_get_diag_${nametype1}$\n\n FUNCTION dbcsr_get_wms_data_${nametype1}$ (matrix, index_matrix, select_data_type, lb, ub) RESULT(DATA)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: index_matrix\n ${type1}$, INTENT(IN) :: select_data_type\n ${type1}$, DIMENSION(:), POINTER :: DATA\n INTEGER, INTENT(IN), OPTIONAL :: lb, ub\n\n DATA => dbcsr_get_data_p_prv(matrix%prv%wms(index_matrix)%data_area, select_data_type, lb, ub)\n END FUNCTION dbcsr_get_wms_data_${nametype1}$\n\n FUNCTION dbcsr_get_data_${nametype1}$ (matrix, select_data_type, lb, ub) RESULT(DATA)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n ${type1}$, INTENT(IN) :: select_data_type\n ${type1}$, DIMENSION(:), POINTER :: DATA\n INTEGER, INTENT(IN), OPTIONAL :: lb, ub\n\n DATA => dbcsr_get_data_p_prv(matrix%prv%data_area, select_data_type, lb, ub)\n END FUNCTION dbcsr_get_data_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_api\n" }, { "path": "src/dbcsr_api_c.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_api_c\n\n USE, INTRINSIC :: ISO_C_BINDING, ONLY: c_loc, c_ptr, c_double, c_sizeof, C_NULL_CHAR, &\n c_float, c_f_pointer, c_int, c_long_long, &\n c_char, c_null_ptr, c_bool, c_associated, &\n c_float_complex, c_double_complex\n USE dbcsr_api\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp, &\n int_8, &\n real_4, &\n real_8\n\n IMPLICIT NONE\n PRIVATE\n\n #:include 'data/dbcsr.fypp'\n\nCONTAINS\n\n SUBROUTINE c_f_string(c_str, str)\n USE, INTRINSIC :: iso_c_binding, ONLY: c_ptr, c_f_pointer, c_char\n TYPE(c_ptr), INTENT(in) :: c_str\n CHARACTER(kind=c_char), POINTER :: arr(:)\n CHARACTER(:, kind=c_char), ALLOCATABLE, INTENT(out) :: str\n INTEGER(8) :: n, i\n INTERFACE\n ! steal std c library function rather than writing our own.\n FUNCTION strlen(s) bind(c, name='strlen')\n USE, INTRINSIC :: iso_c_binding, ONLY: c_ptr, c_size_t\n IMPLICIT NONE\n !----\n TYPE(c_ptr), INTENT(in), value :: s\n INTEGER(c_size_t) :: strlen\n END FUNCTION strlen\n END INTERFACE\n n = strlen(c_str)\n !****\n CALL c_f_pointer(c_str, arr, [n])\n ALLOCATE (CHARACTER(len=n) :: str)\n DO i = 1, n\n str(i:i) = arr(i)\n END DO\n END SUBROUTINE c_f_string\n\n !----------------------------------------------------!\n ! lib init/finalize !\n !----------------------------------------------------!\n\n SUBROUTINE c_dbcsr_clear_mempools() BIND(C, name=\"c_dbcsr_clear_mempools\")\n CALL dbcsr_clear_mempools()\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_init_lib(fcomm, io_unit) bind(C, name=\"c_dbcsr_init_lib_internal\")\n INTEGER(kind=c_int), INTENT(in) :: fcomm\n INTEGER(kind=c_int), INTENT(in), optional :: io_unit\n\n CALL dbcsr_init_lib(fcomm, io_unit)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_finalise_lib() bind(C, name=\"c_dbcsr_finalize_lib\")\n CALL dbcsr_finalize_lib()\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_mp_grid_setup(c_dist) BIND(C, name=\"c_dbcsr_mp_grid_setup\")\n TYPE(c_ptr), INTENT(IN), VALUE :: c_dist\n TYPE(dbcsr_distribution_type), POINTER :: dist\n\n CALL c_f_pointer(c_dist, dist)\n\n CALL dbcsr_mp_grid_setup(dist)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_print_statistics(c_print_timers, c_callgraph_filename) &\n BIND(C, name=\"c_dbcsr_print_statistics\")\n\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_print_timers\n TYPE(c_ptr), INTENT(IN), VALUE :: c_callgraph_filename\n\n LOGICAL :: print_timers\n CHARACTER(:, kind=c_char), ALLOCATABLE :: callgraph_filename\n\n IF (C_ASSOCIATED(c_callgraph_filename)) CALL c_f_string(c_callgraph_filename, callgraph_filename)\n\n IF (PRESENT(c_print_timers)) THEN\n print_timers = c_print_timers\n CALL dbcsr_print_statistics(print_timers=print_timers, &\n callgraph_filename=callgraph_filename)\n ELSE\n CALL dbcsr_print_statistics(callgraph_filename=callgraph_filename)\n END IF\n\n END SUBROUTINE\n\n ! create / release\n !PUBLIC :: dbcsr_distribution_hold\n !PUBLIC :: dbcsr_distribution_release\n !PUBLIC :: dbcsr_distribution_new\n !--- PUBLIC :: dbcsr_create\n ! SKIP PUBLIC :: dbcsr_init_p\n !PUBLIC :: dbcsr_release\n ! SKIP PUBLIC :: dbcsr_release_p\n ! SKIP PUBLIC :: dbcsr_deallocate_matrix\n\n !-------------------------------------------------------!\n ! create/release !\n !-------------------------------------------------------!\n\n SUBROUTINE c_dbcsr_distribution_hold(c_dist) &\n BIND(C, name=\"c_dbcsr_distribution_hold\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_dist\n TYPE(dbcsr_distribution_type), POINTER :: dist\n\n CALL c_f_pointer(c_dist, dist)\n\n CALL dbcsr_distribution_hold(dist)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_distribution_new(c_dist, fcomm, c_row_dist, row_dist_size, &\n c_col_dist, col_dist_size) &\n bind(C, name=\"c_dbcsr_distribution_new_aux\")\n TYPE(c_ptr), INTENT(out) :: c_dist\n INTEGER(kind=c_int), INTENT(in) :: fcomm\n INTEGER(kind=c_int), INTENT(in), value :: row_dist_size\n INTEGER(kind=c_int), INTENT(in), TARGET :: c_row_dist(row_dist_size)\n INTEGER(kind=c_int), INTENT(in), value :: col_dist_size\n INTEGER(kind=c_int), INTENT(in), TARGET :: c_col_dist(col_dist_size)\n\n INTEGER, POINTER :: col_dist(:), row_dist(:)\n TYPE(dbcsr_distribution_type), POINTER :: dist\n\n ALLOCATE (dist)\n row_dist => c_row_dist\n col_dist => c_col_dist\n CALL dbcsr_distribution_new(dist, group=fcomm, row_dist=row_dist, &\n col_dist=col_dist, reuse_arrays=.FALSE.)\n c_dist = c_loc(dist)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_distribution_release(c_dist) bind(C, name=\"c_dbcsr_distribution_release\")\n TYPE(c_ptr), INTENT(inout) :: c_dist\n\n TYPE(dbcsr_distribution_type), POINTER :: dist\n\n CALL c_f_pointer(c_dist, dist)\n\n CALL dbcsr_distribution_release(dist)\n\n DEALLOCATE (dist)\n\n c_dist = c_null_ptr\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_release(c_matrix) bind(C, name=\"c_dbcsr_release\")\n TYPE(c_ptr), INTENT(inout) :: c_matrix\n\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_release(matrix)\n\n DEALLOCATE (matrix)\n\n c_matrix = c_null_ptr\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_create_new(c_matrix, c_name, c_dist, c_matrix_type, &\n c_row_blk_size, c_row_size, &\n c_col_blk_size, c_col_size, &\n c_nze, c_data_type, c_reuse, &\n c_reuse_arrays, c_mutable_work, c_replication_type) &\n BIND(C, name=\"c_dbcsr_create_new\")\n\n TYPE(c_ptr), INTENT(INOUT) :: c_matrix\n TYPE(c_ptr), INTENT(IN), VALUE :: c_name\n TYPE(c_ptr), INTENT(IN), VALUE :: c_dist\n CHARACTER(kind=c_char), INTENT(IN), VALUE :: c_matrix_type\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_row_size, &\n c_col_size\n INTEGER(kind=c_int), INTENT(IN), TARGET :: c_row_blk_size(c_row_size), &\n c_col_blk_size(c_col_size)\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_nze, c_data_type\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_reuse, c_reuse_arrays, &\n c_mutable_work\n CHARACTER(kind=c_char), INTENT(IN), OPTIONAL :: c_replication_type\n\n TYPE(dbcsr_type), POINTER :: matrix\n CHARACTER(:, kind=c_char), ALLOCATABLE :: name\n TYPE(dbcsr_distribution_type), POINTER :: dist\n INTEGER, DIMENSION(:), POINTER :: row_blk_size, col_blk_size\n LOGICAL, POINTER :: reuse, reuse_arrays, mutable_work\n\n ALLOCATE (matrix)\n CALL c_f_pointer(c_dist, dist)\n CALL c_f_string(c_name, name)\n\n row_blk_size => c_row_blk_size\n col_blk_size => c_col_blk_size\n\n #:set list = ['reuse', 'reuse_arrays', 'mutable_work']\n #:for var in list\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n\n CALL dbcsr_create(matrix, name, dist, c_matrix_type, &\n row_blk_size, col_blk_size, &\n c_nze, c_data_type, reuse, &\n reuse_arrays, mutable_work, c_replication_type)\n\n #:for var in list\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n\n c_matrix = c_loc(matrix)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_create_template(c_matrix, c_name, c_template, &\n c_dist, c_matrix_type, &\n c_row_blk_size, c_row_size, &\n c_col_blk_size, c_col_size, &\n c_nze, c_data_type, &\n c_reuse_arrays, c_mutable_work, c_replication_type) &\n BIND(C, name=\"c_dbcsr_create_template\")\n\n TYPE(c_ptr), INTENT(INOUT) :: c_matrix\n TYPE(c_ptr), INTENT(IN), VALUE :: c_name\n TYPE(c_ptr), INTENT(IN), VALUE :: c_template\n TYPE(c_ptr), INTENT(IN), VALUE :: c_dist\n CHARACTER(kind=c_char), INTENT(IN), OPTIONAL :: c_matrix_type\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_row_size, &\n c_col_size\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL, TARGET :: c_row_blk_size(c_row_size), &\n C_col_blk_size(c_col_size)\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_nze, c_data_type\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_reuse_arrays, &\n c_mutable_work\n CHARACTER(kind=c_char), INTENT(IN), OPTIONAL :: c_replication_type\n\n TYPE(dbcsr_type), POINTER :: matrix, template\n CHARACTER(:, kind=c_char), ALLOCATABLE :: name\n INTEGER, DIMENSION(:), POINTER :: row_blk_size, col_blk_size\n TYPE(dbcsr_distribution_type), POINTER :: dist\n LOGICAL, POINTER :: reuse_arrays, mutable_work\n\n ALLOCATE (matrix)\n CALL c_f_pointer(c_template, template)\n CALL c_f_string(c_name, name)\n\n NULLIFY (row_blk_size)\n NULLIFY (col_blk_size)\n IF (PRESENT(c_row_blk_size)) row_blk_size => c_row_blk_size\n IF (PRESENT(c_col_blk_size)) col_blk_size => c_col_blk_size\n\n NULLIFY (dist)\n IF (C_ASSOCIATED(c_dist)) CALL c_f_pointer(c_dist, dist)\n\n #:set list = ['reuse_arrays', 'mutable_work']\n #:for var in list\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n\n #:set optvars = [['row_blk_size'], ['col_blk_size']]\n #:set optgroups = []\n ${gen_vargroups(optvars,optgroups)}$\n\n #:for i in range(len(optgroups))\n ${print_groupif(optgroups,optvars,i,'PRESENT','c_')}$\n\n CALL dbcsr_create(matrix, name, template, dist, c_matrix_type &\n ${print_group(optgroups[i])}$, &\n nze=c_nze, data_type=c_data_type, &\n reuse_arrays=reuse_arrays, mutable_work=mutable_work, &\n replication_type=c_replication_type)\n\n #:endfor\n $:\"ENDIF\"\n\n #:for var in list\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n\n c_matrix = c_loc(matrix)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_finalize(c_matrix) bind(C, name=\"c_dbcsr_finalize\")\n TYPE(c_ptr), INTENT(in), value :: c_matrix\n\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_finalize(matrix)\n END SUBROUTINE\n\n !----------------------------------------------------------!\n ! primitive matrix operations !\n !----------------------------------------------------------!\n\n #:for n, nametype, base, prec, kind, type, dkind, normname, ctype in c_inst_params_float\n\n SUBROUTINE c_dbcsr_set_${nametype}$ (c_matrix, c_alpha) &\n BIND(C, name=\"c_dbcsr_set_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n ${ctype}$, INTENT(IN), VALUE :: c_alpha\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_set(matrix, c_alpha)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_add_${nametype}$ (c_matrix_a, c_matrix_b, c_alpha_scalar, c_beta_scalar) &\n BIND(C, name=\"c_dbcsr_add_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a, c_matrix_b\n ${ctype}$, INTENT(IN), VALUE :: c_alpha_scalar, c_beta_scalar\n TYPE(dbcsr_type), POINTER :: matrix_a, matrix_b\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n CALL c_f_pointer(c_matrix_b, matrix_b)\n CALL dbcsr_add(matrix_a, matrix_b, c_alpha_scalar, c_beta_scalar)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_scale_${nametype}$ (c_matrix_a, c_alpha_scalar, c_last_column) &\n BIND(C, name=\"c_dbcsr_scale_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a\n ${ctype}$, INTENT(IN), VALUE :: c_alpha_scalar\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_last_column\n TYPE(dbcsr_type), POINTER :: matrix_a\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n CALL dbcsr_scale(matrix_a, c_alpha_scalar, c_last_column)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_scale_by_vector_${nametype}$ (c_matrix_a, c_alpha, c_alpha_size, c_side) &\n BIND(C, name=\"c_dbcsr_scale_by_vector_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_alpha_size\n ${ctype}$, INTENT(IN) :: c_alpha(c_alpha_size)\n TYPE(c_ptr), INTENT(IN), VALUE :: c_side\n TYPE(dbcsr_type), POINTER :: matrix_a\n CHARACTER(:, kind=c_char), ALLOCATABLE :: side\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n CALL c_f_string(c_side, side)\n\n CALL dbcsr_scale_by_vector(matrix_a, c_alpha, side)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_multiply_${nametype}$ (c_transa, c_transb, &\n c_alpha, c_matrix_a, c_matrix_b, c_beta, c_matrix_c, &\n c_first_row, c_last_row, c_first_column, c_last_column, &\n c_first_k, c_last_k, &\n c_retain_sparsity, c_filter_eps, c_flop) &\n BIND(C, name=\"c_dbcsr_multiply_${nametype}$\")\n\n CHARACTER(kind=c_char), INTENT(in), value :: c_transa, c_transb\n ${ctype}$, INTENT(in), value :: c_alpha, c_beta\n TYPE(c_ptr), INTENT(in), VALUE :: c_matrix_a, c_matrix_b, c_matrix_c\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_first_row, c_last_row, &\n c_first_column, c_last_column, &\n c_first_k, c_last_k\n LOGICAL(c_bool), INTENT(in), OPTIONAL :: c_retain_sparsity\n REAL(kind=c_double), OPTIONAL :: c_filter_eps\n INTEGER(kind=c_long_long), OPTIONAL :: c_flop\n\n LOGICAL :: ret_sp\n TYPE(dbcsr_type), POINTER :: matrix_a, matrix_b, matrix_c\n INTEGER, POINTER :: first_row, last_row, first_column, last_column, first_k, last_k\n\n #:set vars = ['first_row', 'last_row', 'first_column', 'last_column', 'first_k', 'last_k']\n #:for var in vars\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$+1\n END IF\n #:endfor\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n CALL c_f_pointer(c_matrix_b, matrix_b)\n CALL c_f_pointer(c_matrix_c, matrix_c)\n\n IF (PRESENT(c_retain_sparsity)) THEN\n ret_sp = c_retain_sparsity\n CALL dbcsr_multiply(c_transa, c_transb, &\n c_alpha, matrix_a, matrix_b, c_beta, matrix_c, &\n first_row, last_row, first_column, last_column, &\n first_k, last_k, &\n ret_sp, c_filter_eps, c_flop)\n ELSE\n CALL dbcsr_multiply(c_transa, c_transb, &\n c_alpha, matrix_a, matrix_b, c_beta, matrix_c, &\n first_row, last_row, first_column, last_column, &\n first_k, last_k, &\n filter_eps=c_filter_eps, flop=c_flop)\n END IF\n\n #:for var in vars\n IF (PRESENT(c_${var}$)) DEALLOCATE (${var}$)\n #:endfor\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_add_on_diag_${nametype}$ (c_matrix, c_alpha_scalar) &\n BIND(C, name=\"c_dbcsr_add_on_diag_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n ${ctype}$, INTENT(IN) :: c_alpha_scalar\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_add_on_diag(matrix, c_alpha_scalar)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_set_diag_${nametype}$ (c_matrix, c_diag, c_diag_size) &\n BIND(C, name=\"c_dbcsr_set_diag_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_diag_size\n ${ctype}$, INTENT(IN) :: c_diag(c_diag_size)\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_set_diag(matrix, c_diag)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_get_diag_${nametype}$ (c_matrix, c_diag, c_diag_size) &\n BIND(C, name=\"c_dbcsr_get_diag_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_diag_size\n ${ctype}$, INTENT(INOUT) :: c_diag(c_diag_size)\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_get_diag(matrix, c_diag)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_trace_${nametype}$ (c_matrix_a, c_trace) &\n BIND(C, name=\"c_dbcsr_trace_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a\n ${ctype}$, INTENT(OUT) :: c_trace\n TYPE(dbcsr_type), POINTER :: matrix_a\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n CALL dbcsr_trace(matrix_a, c_trace)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_dot_${nametype}$ (c_matrix_a, c_matrix_b, c_result) &\n BIND(C, name=\"c_dbcsr_dot_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a, c_matrix_b\n ${ctype}$, INTENT(INOUT) :: c_result\n TYPE(dbcsr_type), POINTER :: matrix_a, matrix_b\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n CALL c_f_pointer(c_matrix_b, matrix_b)\n CALL dbcsr_dot(matrix_a, matrix_b, c_result)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_get_block_p_${nametype}$ (c_matrix, c_row, c_col, c_block, &\n c_tr, c_found, c_row_size, c_col_size) &\n BIND(C, name=\"c_dbcsr_get_block_p_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_row, c_col\n TYPE(c_ptr), INTENT(INOUT) :: c_block\n LOGICAL(kind=c_bool), INTENT(OUT) :: c_tr, c_found\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_row_size, c_col_size\n\n TYPE(dbcsr_type), POINTER :: matrix\n ${ctype}$, DIMENSION(:), POINTER :: block\n LOGICAL :: tr, found\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_get_block_p(matrix, c_row + 1, c_col + 1, block, tr, &\n found, c_row_size, c_col_size)\n\n c_tr = tr\n c_found = found\n c_block = c_loc(block)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_get_block_notrans_p_${nametype}$ (c_matrix, c_row, c_col, &\n c_block, c_found, c_row_size, c_col_size) &\n BIND(C, name=\"c_dbcsr_get_block_notrans_p_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_row, c_col\n TYPE(c_ptr), INTENT(INOUT) :: c_block\n LOGICAL(kind=c_bool), INTENT(OUT) :: c_found\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_row_size, c_col_size\n\n TYPE(dbcsr_type), POINTER :: matrix\n ${ctype}$, DIMENSION(:), POINTER :: block\n LOGICAL :: found\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_get_block_p(matrix, c_row + 1, c_col + 1, block, found, &\n c_row_size, c_col_size)\n\n c_block = c_loc(block)\n c_found = found\n\n END SUBROUTINE\n\n #:endfor\n\n SUBROUTINE c_dbcsr_complete_redistribute(c_matrix, c_redist, c_keep_sparsity, c_summation) &\n BIND(C, name=\"c_dbcsr_complete_redistribute\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(c_ptr), INTENT(IN), VALUE :: c_redist\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_keep_sparsity, c_summation\n TYPE(dbcsr_type), POINTER :: matrix, redist\n LOGICAL, POINTER :: keep_sparsity, summation\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL c_f_pointer(c_redist, redist)\n\n #:set vars = ['keep_sparsity', 'summation']\n #:for var in vars\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n\n CALL dbcsr_complete_redistribute(matrix, redist, keep_sparsity, summation)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_filter(c_matrix, c_eps, c_method, c_use_absolute, c_filter_diag) &\n BIND(C, name=\"c_dbcsr_filter\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n REAL(kind=c_double), INTENT(IN) :: c_eps\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_method\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_use_absolute, c_filter_diag\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL, POINTER :: use_absolute, filter_diag\n\n CALL c_f_pointer(c_matrix, matrix)\n #:set vars = ['use_absolute', 'filter_diag']\n #:for var in vars\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n CALL dbcsr_filter(matrix, c_eps, c_method, use_absolute, filter_diag)\n #:for var in vars\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_get_block_diag(c_matrix, c_diag) &\n BIND(C, name=\"c_dbcsr_get_block_diag\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(c_ptr), INTENT(INOUT) :: c_diag\n TYPE(dbcsr_type), POINTER :: matrix, diag\n\n CALL c_f_pointer(c_matrix, matrix)\n IF (C_ASSOCIATED(c_diag)) THEN\n CALL c_f_pointer(c_diag, diag)\n ELSE\n ALLOCATE (diag)\n END IF\n\n CALL dbcsr_get_block_diag(matrix, diag)\n IF (.NOT. C_ASSOCIATED(c_diag)) c_diag = c_loc(diag)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_transposed(c_transposed, c_normal, c_shallow_data_copy, &\n c_transpose_data, c_transpose_distribution, c_use_distribution) &\n BIND(C, name=\"c_dbcsr_transposed\")\n\n TYPE(c_ptr), INTENT(INOUT) :: c_transposed\n TYPE(c_ptr), INTENT(IN), VALUE :: c_normal, c_use_distribution\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_shallow_data_copy, c_transpose_data, &\n c_transpose_distribution\n\n TYPE(dbcsr_type), POINTER :: transposed, normal\n LOGICAL, POINTER :: shallow_data_copy, transpose_data, &\n transpose_distribution\n TYPE(dbcsr_distribution_type), POINTER :: use_distribution\n\n ALLOCATE (transposed)\n CALL c_f_pointer(c_normal, normal)\n IF (C_ASSOCIATED(c_use_distribution)) &\n CALL c_f_pointer(c_use_distribution, use_distribution)\n\n #:set vars = ['shallow_data_copy', 'transpose_data', 'transpose_distribution']\n #:for var in vars\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n\n CALL dbcsr_transposed(transposed, normal, shallow_data_copy, &\n transpose_data, transpose_distribution, use_distribution)\n\n c_transposed = c_loc(transposed)\n\n #:for var in vars\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_copy(c_matrix_b, c_matrix_a, c_name, c_keep_sparsity, &\n c_shallow_data, c_keep_imaginary, c_matrix_type) &\n BIND(C, name=\"c_dbcsr_copy\")\n\n TYPE(c_ptr), INTENT(INOUT) :: c_matrix_b\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a, c_name\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_keep_sparsity, c_shallow_data, &\n c_keep_imaginary\n CHARACTER(kind=c_char), INTENT(IN), OPTIONAL :: c_matrix_type\n\n TYPE(dbcsr_type), POINTER :: matrix_b, matrix_a\n CHARACTER(:, kind=c_char), ALLOCATABLE :: name\n LOGICAL, POINTER :: keep_sparsity, shallow_data, &\n keep_imaginary\n\n IF (C_ASSOCIATED(c_matrix_b)) THEN\n CALL c_f_pointer(c_matrix_b, matrix_b)\n ELSE\n ALLOCATE (matrix_b)\n END IF\n\n IF (C_ASSOCIATED(c_name)) CALL c_f_string(c_name, name)\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n\n #:set vars = ['keep_sparsity', 'shallow_data', 'keep_imaginary']\n #:for var in vars\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n\n CALL dbcsr_copy(matrix_b, matrix_a, name, keep_sparsity, &\n shallow_data, keep_imaginary, c_matrix_type)\n\n #:for var in vars\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n IF (.NOT. C_ASSOCIATED(c_matrix_b)) c_matrix_b = c_loc(matrix_b)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_copy_into_existing(c_matrix_b, c_matrix_a) &\n BIND(C, name=\"c_dbcsr_copy_into_existing\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a, c_matrix_b\n TYPE(dbcsr_type), POINTER :: matrix_b, matrix_a\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n CALL c_f_pointer(c_matrix_b, matrix_b)\n\n CALL dbcsr_copy_into_existing(matrix_b, matrix_a)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_desymmetrize(c_matrix_a, c_matrix_b) &\n BIND(C, name=\"c_dbcsr_desymmetrize\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a\n TYPE(c_ptr), INTENT(INOUT) :: c_matrix_b\n TYPE(dbcsr_type), POINTER :: matrix_a, matrix_b\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n IF (C_ASSOCIATED(c_matrix_b)) THEN\n CALL c_f_pointer(c_matrix_b, matrix_b)\n ELSE\n ALLOCATE (matrix_b)\n END IF\n\n CALL dbcsr_desymmetrize(matrix_a, matrix_b)\n IF (.NOT. C_ASSOCIATED(c_matrix_b)) c_matrix_b = c_loc(matrix_b)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_clear(c_dbcsr_mat) BIND(C, name=\"c_dbcsr_clear\")\n TYPE(c_ptr), INTENT(INOUT) :: c_dbcsr_mat\n TYPE(dbcsr_type), POINTER :: dbcsr_mat\n CALL c_f_pointer(c_dbcsr_mat, dbcsr_mat)\n CALL dbcsr_clear(dbcsr_mat)\n c_dbcsr_mat = c_loc(dbcsr_mat)\n END SUBROUTINE\n\n ! block reservation\n !PUBLIC :: dbcsr_reserve_diag_blocks\n !PUBLIC :: dbcsr_reserve_block2d\n ! MODIFIED !!! PUBLIC :: dbcsr_reserve_blocks\n !PUBLIC :: dbcsr_reserve_all_blocks\n\n !-----------------------------------------------------------------!\n ! block_reservations !\n !-----------------------------------------------------------------!\n\n SUBROUTINE c_dbcsr_reserve_diag_blocks(c_matrix) &\n BIND(C, name=\"c_dbcsr_reserve_diag_blocks\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_reserve_diag_blocks(matrix)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_reserve_blocks(c_matrix, c_rows, c_cols, c_size) &\n BIND(C, name=\"c_dbcsr_reserve_blocks\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_size\n INTEGER(kind=c_int), INTENT(IN) :: c_rows(c_size), c_cols(c_size)\n TYPE(dbcsr_type), POINTER:: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_reserve_blocks(matrix, c_rows + 1, c_cols + 1)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_reserve_all_blocks(c_matrix) &\n BIND(C, name=\"c_dbcsr_reserve_all_blocks\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_reserve_all_blocks(matrix)\n END SUBROUTINE\n\n #:for n, nametype, base, prec, kind, type, dkind, normname, ctype in c_inst_params_float\n\n SUBROUTINE c_dbcsr_reserve_block2d_${nametype}$ (c_matrix, c_row, c_col, &\n c_block, c_row_size, c_col_size, c_transposed, c_existed) &\n BIND(C, name=\"c_dbcsr_reserve_block2d_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN) :: c_row, c_col, c_row_size, c_col_size\n ${ctype}$, INTENT(IN), DIMENSION(c_row_size, c_col_size), TARGET :: c_block\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_transposed\n LOGICAL(kind=c_bool), INTENT(OUT), OPTIONAL :: c_existed\n\n TYPE(dbcsr_type), POINTER :: matrix\n ${type}$, DIMENSION(:, :), POINTER :: block\n LOGICAL, POINTER :: transposed\n LOGICAL, POINTER :: existed\n\n CALL c_f_pointer(c_matrix, matrix)\n block => c_block\n NULLIFY (transposed)\n NULLIFY (existed)\n IF (PRESENT(c_transposed)) THEN\n ALLOCATE (transposed)\n transposed = c_transposed\n END IF\n IF (PRESENT(c_existed)) ALLOCATE (existed)\n\n CALL dbcsr_reserve_block2d(matrix, c_row + 1, c_col + 1, block, transposed, existed)\n IF (PRESENT(c_existed)) c_existed = existed\n END SUBROUTINE\n\n #:endfor\n\n ! iterator\n !PUBLIC :: dbcsr_iterator_start\n !PUBLIC :: dbcsr_iterator_stop\n !PUBLIC :: dbcsr_iterator_blocks_left\n ! SOME MODS NEEDED PUBLIC :: dbcsr_iterator_next_block\n\n !-------------------------------!\n ! iterator !\n !-------------------------------!\n\n SUBROUTINE c_dbcsr_iterator_stop(c_iterator) &\n BIND(C, name=\"c_dbcsr_iterator_stop\")\n\n TYPE(c_ptr), INTENT(INOUT) :: c_iterator\n TYPE(dbcsr_iterator_type), POINTER :: iterator\n\n CALL c_f_pointer(c_iterator, iterator)\n CALL dbcsr_iterator_stop(iterator)\n IF (ASSOCIATED(iterator)) DEALLOCATE (iterator)\n c_iterator = c_null_ptr\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_iterator_start(c_iterator, c_matrix, c_shared, c_dynamic, &\n c_dynamic_byrows, c_contiguous_pointers, c_read_only) &\n BIND(C, name=\"c_dbcsr_iterator_start\")\n\n TYPE(c_ptr), INTENT(INOUT) :: c_iterator\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_shared, c_dynamic, c_dynamic_byrows, &\n c_contiguous_pointers, c_read_only\n TYPE(dbcsr_iterator_type), POINTER :: iterator\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL, POINTER :: shared, dynamic, dynamic_byrows, &\n contiguous_pointers, read_only\n\n ALLOCATE (iterator)\n CALL c_f_pointer(c_matrix, matrix)\n #:set vars = ['shared', 'dynamic', 'dynamic_byrows', 'contiguous_pointers', 'read_only']\n #:for var in vars\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n\n CALL dbcsr_iterator_start(iterator, matrix, shared, dynamic, &\n dynamic_byrows, contiguous_pointers, read_only)\n\n c_iterator = c_loc(iterator)\n #:for var in vars\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n\n END SUBROUTINE\n\n FUNCTION c_dbcsr_iterator_blocks_left(c_iterator) RESULT(c_blocks_left) &\n BIND(C, name=\"c_dbcsr_iterator_blocks_left\")\n TYPE(c_ptr), INTENT(IN), VALUE :: c_iterator\n TYPE(dbcsr_iterator_type), POINTER :: iterator\n LOGICAL(kind=c_bool) :: c_blocks_left\n\n CALL c_f_pointer(c_iterator, iterator)\n c_blocks_left = dbcsr_iterator_blocks_left(iterator)\n END FUNCTION\n\n SUBROUTINE c_dbcsr_iterator_next_block_index(c_iterator, c_row, c_column, c_blk, c_blk_p) &\n BIND(C, name=\"c_dbcsr_iterator_next_block_index\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_iterator\n INTEGER(kind=c_int), INTENT(OUT) :: c_row, c_column, c_blk\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_blk_p\n TYPE(dbcsr_iterator_type), POINTER :: iterator\n\n CALL c_f_pointer(c_iterator, iterator)\n\n CALL dbcsr_iterator_next_block(iterator, c_row, c_column, c_blk, c_blk_p)\n\n c_row = c_row - 1\n c_column = c_column - 1\n c_blk = c_blk - 1\n\n END SUBROUTINE\n\n #:for n, nametype, base, prec, kind, type, dkind, normname, ctype in c_inst_params_float\n SUBROUTINE c_dbcsr_iterator_next_2d_block_${nametype}$ (c_iterator, c_row, c_column, c_block, &\n c_transposed, c_block_number, &\n c_row_size, c_col_size, c_row_offset, c_col_offset) &\n BIND(C, name=\"c_dbcsr_iterator_next_2d_block_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_iterator\n INTEGER(kind=c_int), INTENT(OUT) :: c_row, c_column\n TYPE(c_ptr), INTENT(INOUT) :: c_block\n LOGICAL(kind=c_bool), INTENT(OUT) :: c_transposed\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_block_number, c_row_size, &\n c_col_size, c_row_offset, &\n c_col_offset\n TYPE(dbcsr_iterator_type), POINTER :: iterator\n ${ctype}$, DIMENSION(:, :), POINTER :: block\n LOGICAL :: transposed\n\n CALL c_f_pointer(c_iterator, iterator)\n\n CALL dbcsr_iterator_next_block(iterator, c_row, c_column, block, &\n transposed, c_block_number, &\n c_row_size, c_col_size, c_row_offset, c_col_offset)\n\n c_row = c_row - 1\n c_column = c_column - 1\n\n IF (PRESENT(c_block_number)) c_block_number = c_block_number - 1\n IF (PRESENT(c_row_offset)) c_row_offset = c_row_offset - 1\n IF (PRESENT(c_col_offset)) c_col_offset = c_col_offset - 1\n\n c_transposed = transposed\n c_block = c_loc(block)\n\n END SUBROUTINE\n #:endfor\n\n !--------------------------------------------------------!\n ! work operations !\n !--------------------------------------------------------!\n\n ! SKIP PUBLIC :: dbcsr_add_block_node\n !PUBLIC :: dbcsr_put_block\n ! SKIP PUBLIC :: dbcsr_work_create\n ! SKIP PUBLIC :: dbcsr_verify_matrix\n ! SKIP PUBLIC :: dbcsr_add_work_coordinate\n ! SKIP PUBLIC :: dbcsr_get_wms_data_p\n ! MODIFIED PUBLIC :: dbcsr_get_data_p\n ! SKIP PUBLIC :: dbcsr_set_work_size\n ! SKIP PUBLIC :: dbcsr_finalize\n\n #:for n, nametype, base, prec, kind, type, dkind, normname, ctype in c_inst_params_float\n SUBROUTINE c_dbcsr_put_block2d_${nametype}$ (c_matrix, c_row, c_col, c_block, &\n c_row_size, c_col_size, c_summation, c_scale) &\n BIND(C, name=\"c_dbcsr_put_block2d_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_row, c_col, c_row_size, c_col_size\n ${ctype}$, INTENT(IN) :: c_block(c_row_size, c_col_size)\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_summation\n ${ctype}$, INTENT(IN), OPTIONAL :: c_scale\n\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL :: summation\n\n CALL c_f_pointer(c_matrix, matrix)\n\n IF (PRESENT(c_summation)) THEN\n summation = c_summation\n CALL dbcsr_put_block(matrix, c_row + 1, c_col + 1, c_block, summation, c_scale)\n ELSE\n CALL dbcsr_put_block(matrix, c_row + 1, c_col + 1, c_block, scale=c_scale)\n END IF\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_get_data_${nametype}$ (c_matrix, c_data, c_data_size, c_select_data_type, c_lb, c_ub) &\n BIND(C, name=\"c_dbcsr_get_data_${nametype}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(c_ptr), INTENT(OUT) :: c_data\n INTEGER(kind=c_long_long), INTENT(OUT) :: c_data_size\n ${ctype}$, INTENT(IN) :: c_select_data_type\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_lb, c_ub\n INTEGER(kind=c_int), POINTER :: lb, ub\n TYPE(dbcsr_type), POINTER :: matrix\n ${ctype}$, DIMENSION(:), POINTER :: data\n\n CALL c_f_pointer(c_matrix, matrix)\n #:set vars = ['lb', 'ub']\n #:for var in vars\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$+1\n END IF\n #:endfor\n\n data => dbcsr_get_data_p(matrix, c_select_data_type, lb, ub)\n c_data = c_loc(data)\n c_data_size = SIZE(data)\n\n END SUBROUTINE\n\n #:endfor\n\n !------------------------------------------------------------!\n ! replication !\n !------------------------------------------------------------!\n\n !PUBLIC :: dbcsr_replicate_all\n !PUBLIC :: dbcsr_sum_replicated\n !PUBLIC :: dbcsr_distribute\n\n SUBROUTINE c_dbcsr_replicate_all(c_matrix) &\n BIND(C, name=\"c_dbcsr_replicate_all\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_replicate_all(matrix)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_distribute(c_matrix, c_fast) &\n BIND(C, name=\"c_dbcsr_distribute\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_fast\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL :: fast\n\n CALL c_f_pointer(c_matrix, matrix)\n IF (PRESENT(c_fast)) THEN\n fast = c_fast\n CALL dbcsr_distribute(matrix, fast)\n ELSE\n CALL dbcsr_distribute(matrix)\n END IF\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_sum_replicated(c_matrix) &\n BIND(C, name=\"c_dbcsr_sum_replicated\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_sum_replicated(matrix)\n END SUBROUTINE\n\n !PUBLIC :: dbcsr_norm_frobenius\n !PUBLIC :: dbcsr_norm_maxabsnorm\n !PUBLIC :: dbcsr_norm_column\n !PUBLIC :: dbcsr_hadamard_product\n !PUBLIC :: dbcsr_func_artanh\n !PUBLIC :: dbcsr_func_dtanh\n !PUBLIC :: dbcsr_func_inverse\n !PUBLIC :: dbcsr_func_tanh\n !PUBLIC :: dbcsr_print\n !PUBLIC :: dbcsr_print_block_sum\n !PUBLIC :: dbcsr_checksum\n !PUBLIC :: dbcsr_maxabs\n ! VECTOR? PUBLIC :: dbcsr_norm\n !PUBLIC :: dbcsr_gershgorin_norm\n !PUBLIC :: dbcsr_frobenius_norm\n !PUBLIC :: dbcsr_init_random\n !PUBLIC :: dbcsr_function_of_elements\n !PUBLIC :: dbcsr_triu\n\n !-----------------------------------------!\n ! high level matrix functions !\n !-----------------------------------------!\n\n SUBROUTINE c_dbcsr_hadamard_product(c_matrix_a, c_matrix_b, c_matrix_c, c_b_assume_value) &\n BIND(C, name=\"c_dbcsr_hadamard_product\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_a, c_matrix_b, c_matrix_c\n REAL(kind=c_double), INTENT(IN), OPTIONAL :: c_b_assume_value\n TYPE(dbcsr_type), POINTER :: matrix_a, matrix_b, matrix_c\n\n CALL c_f_pointer(c_matrix_a, matrix_a)\n CALL c_f_pointer(c_matrix_b, matrix_b)\n CALL c_f_pointer(c_matrix_c, matrix_c)\n\n CALL dbcsr_hadamard_product(matrix_a, matrix_b, matrix_c, c_b_assume_value)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_print(c_matrix) bind(C, name=\"c_dbcsr_print\")\n TYPE(c_ptr), INTENT(in), value :: c_matrix\n\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_print(matrix)\n\n ! Fortran and C may use different buffers for I/O, make sure we flush before returning:\n flush (default_output_unit)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_print_block_sum(c_matrix, c_unit_nr) &\n BIND(C, name=\"c_dbcsr_print_block_sum\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_unit_nr\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_print_block_sum(matrix, c_unit_nr)\n FLUSH (default_output_unit)\n END SUBROUTINE\n\n FUNCTION c_dbcsr_checksum(c_matrix, c_local, c_pos) RESULT(c_checksum) &\n BIND(C, name=\"c_dbcsr_checksum\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_local, c_pos\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL, POINTER :: local, pos\n REAL(kind=c_double) :: c_checksum\n\n CALL c_f_pointer(c_matrix, matrix)\n #:set vars = ['local','pos']\n #:for var in vars\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n c_checksum = dbcsr_checksum(matrix, local, pos)\n #:for var in vars\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n END FUNCTION\n\n FUNCTION c_dbcsr_maxabs(c_matrix) RESULT(c_norm) &\n BIND(C, name=\"c_dbcsr_maxabs\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n REAL(kind=c_double) :: c_norm\n\n CALL c_f_pointer(c_matrix, matrix)\n c_norm = dbcsr_maxabs(matrix)\n END FUNCTION\n\n FUNCTION c_dbcsr_gershgorin_norm(c_matrix) RESULT(c_norm) &\n BIND(C, name=\"c_dbcsr_gershgorin_norm\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n REAL(kind=c_double) :: c_norm\n\n CALL c_f_pointer(c_matrix, matrix)\n c_norm = dbcsr_gershgorin_norm(matrix)\n END FUNCTION\n\n FUNCTION c_dbcsr_frobenius_norm(c_matrix, c_local) RESULT(c_norm) &\n BIND(C, name=\"c_dbcsr_frobenius_norm\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_local\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL :: local\n REAL(kind=c_double) :: c_norm\n\n CALL c_f_pointer(c_matrix, matrix)\n IF (PRESENT(c_local)) THEN\n local = c_local\n c_norm = dbcsr_frobenius_norm(matrix, local)\n ELSE\n c_norm = dbcsr_frobenius_norm(matrix)\n END IF\n END FUNCTION\n\n SUBROUTINE c_dbcsr_norm_scalar(c_matrix, c_which_norm, c_norm_scalar) &\n BIND(C, name=\"c_dbcsr_norm_scalar\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_which_norm\n REAL(kind=c_double), INTENT(OUT) :: c_norm_scalar\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_norm(matrix, c_which_norm, c_norm_scalar)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_triu(c_matrix) BIND(C, name=\"c_dbcsr_triu\")\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_triu(matrix)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_init_random(c_matrix, c_keep_sparsity) &\n BIND(C, name=\"c_dbcsr_init_random\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_keep_sparsity\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL :: keep_sparsity\n\n CALL c_f_pointer(c_matrix, matrix)\n IF (PRESENT(c_keep_sparsity)) THEN\n keep_sparsity = c_keep_sparsity\n CALL dbcsr_init_random(matrix, keep_sparsity)\n ELSE\n CALL dbcsr_init_random(matrix)\n END IF\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_function_of_elements(c_matrix, c_func, c_a0, c_a1, c_a2) &\n BIND(C, name=\"c_dbcsr_function_of_elements\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_func\n REAL(kind=c_double), INTENT(IN), OPTIONAL :: c_a0, c_a1, c_a2\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL dbcsr_function_of_elements(matrix, c_func, c_a0, c_a1, c_a2)\n END SUBROUTINE\n\n ! ---------------------------------------------------- !\n ! getters / setters !\n ! ---------------------------------------------------- !\n\n ! getters / setters\n !!PUBLIC :: dbcsr_get_info\n !!PUBLIC :: dbcsr_distribution_get\n !!PUBLIC :: dbcsr_setname\n !!PUBLIC :: dbcsr_get_matrix_type\n !!PUBLIC :: dbcsr_get_occupation\n !!PUBLIC :: dbcsr_nblkrows_total\n !!PUBLIC :: dbcsr_nblkcols_total\n ! ADDED LOCAL TOO\n !!PUBLIC :: dbcsr_get_num_blocks\n !!PUBLIC :: dbcsr_get_data_size\n !!PUBLIC :: dbcsr_has_symmetry\n !!PUBLIC :: dbcsr_nfullrows_total\n !!PUBLIC :: dbcsr_nfullcols_total\n !!PUBLIC :: dbcsr_get_stored_coordinates\n !!PUBLIC :: dbcsr_valid_index\n !!PUBLIC :: dbcsr_get_data_type\n\n FUNCTION c_dbcsr_nblkrows_total(c_matrix) RESULT(c_nblkrows_tot) &\n BIND(C, name=\"c_dbcsr_nblkrows_total\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_nblkrows_tot\n\n CALL c_f_pointer(c_matrix, matrix)\n c_nblkrows_tot = dbcsr_nblkrows_total(matrix)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_nblkcols_total(c_matrix) RESULT(c_nblkcols_tot) &\n BIND(C, name=\"c_dbcsr_nblkcols_total\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_nblkcols_tot\n\n CALL c_f_pointer(c_matrix, matrix)\n c_nblkcols_tot = dbcsr_nblkcols_total(matrix)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_nblkrows_local(c_matrix) RESULT(c_nblkrows_loc) &\n BIND(C, name=\"c_dbcsr_nblkrows_local\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_nblkrows_loc\n\n CALL c_f_pointer(c_matrix, matrix)\n c_nblkrows_loc = dbcsr_nblkrows_local(matrix)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_nblkcols_local(c_matrix) RESULT(c_nblkcols_loc) &\n BIND(C, name=\"c_dbcsr_nblkcols_local\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_nblkcols_loc\n\n CALL c_f_pointer(c_matrix, matrix)\n c_nblkcols_loc = dbcsr_nblkcols_local(matrix)\n\n END FUNCTION\n\n SUBROUTINE c_dbcsr_get_info(c_matrix, c_nblkrows_total, c_nblkcols_total, &\n c_nfullrows_total, c_nfullcols_total, &\n c_nblkrows_local, c_nblkcols_local, &\n c_nfullrows_local, c_nfullcols_local, &\n c_my_prow, c_my_pcol, &\n c_local_rows, c_local_cols, c_proc_row_dist, c_proc_col_dist, &\n c_row_blk_size, c_col_blk_size, c_row_blk_offset, c_col_blk_offset, &\n c_distribution, c_name, c_matrix_type, c_data_type, &\n c_group) BIND(C, name=\"c_dbcsr_get_info\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_nblkrows_total, c_nblkcols_total, c_nfullrows_total, &\n c_nfullcols_total, c_nblkrows_local, c_nblkcols_local, c_nfullrows_local, &\n c_nfullcols_local, c_my_prow, c_my_pcol\n TYPE(c_ptr), INTENT(IN), VALUE :: c_local_rows, c_local_cols, c_proc_row_dist, &\n c_proc_col_dist, c_row_blk_size, c_col_blk_size, &\n c_row_blk_offset, c_col_blk_offset\n TYPE(c_ptr), INTENT(OUT), OPTIONAL :: c_distribution\n TYPE(c_ptr), INTENT(OUT), OPTIONAL :: c_name\n CHARACTER(kind=c_char), INTENT(OUT), OPTIONAL :: c_matrix_type\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_data_type, c_group\n\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int), DIMENSION(:), POINTER :: f_local_rows, f_local_cols, f_proc_row_dist, &\n f_proc_col_dist, &\n f_row_blk_size, f_col_blk_size, &\n f_row_blk_offset, f_col_blk_offset\n ! copies for the following arrays\n INTEGER(kind=c_int), DIMENSION(:), POINTER :: local_rows, local_cols, proc_row_dist, &\n proc_col_dist, &\n row_blk_size, col_blk_size, &\n row_blk_offset, col_blk_offset\n TYPE(dbcsr_distribution_type), POINTER :: distribution\n CHARACTER(kind=c_char, len=:), POINTER :: name\n\n CALL c_f_pointer(c_matrix, matrix)\n\n ! Because the pointers passed are always null at the beginning, we cannot just pass them in this case\n ! we use if/else branches, but reduce their number by grouping some variables together\n ! and splitting the function into several calls\n\n #:set optvars = [['local_rows', 'local_cols'], &\n ['proc_row_dist', 'proc_col_dist'], &\n ['row_blk_size', 'col_blk_size'], &\n ['row_blk_offset', 'col_blk_offset']]\n #:set optgroups = []\n ${gen_vargroups(optvars,optgroups)}$\n\n #:set vars = ['local_rows', 'local_cols',&\n 'proc_row_dist', 'proc_col_dist',&\n 'row_blk_size', 'col_blk_size',&\n 'row_blk_offset', 'col_blk_offset']\n\n ! This will generate 16 branches\n #:for i in range(len(optgroups))\n ${print_groupif(optgroups,optvars,i,'C_ASSOCIATED','c_')}$\n\n CALL dbcsr_get_info(matrix, c_nblkrows_total, c_nblkcols_total, &\n c_nfullrows_total, c_nfullcols_total, &\n c_nblkrows_local, c_nblkcols_local, &\n c_nfullrows_local, c_nfullcols_local, &\n c_my_prow, c_my_pcol &\n ${print_group(optgroups[i])}$, &\n matrix_type=c_matrix_type, data_type=c_data_type, &\n group=c_group)\n #:endfor\n $:\"ENDIF\"\n\n ! now take care of name and dist\n\n IF (PRESENT(c_name)) THEN\n ALLOCATE (CHARACTER(len=default_string_length) :: name)\n CALL dbcsr_get_info(matrix, name=name)\n name = TRIM(name)//char(0)\n c_name = c_loc(name)\n END IF\n\n IF (PRESENT(c_distribution)) THEN\n ALLOCATE (distribution)\n CALL dbcsr_get_info(matrix, distribution=distribution)\n c_distribution = c_loc(distribution)\n END IF\n\n #:set vars = ['local_rows', 'local_cols', 'proc_row_dist', 'proc_col_dist', &\n 'row_blk_size', 'col_blk_size', 'row_blk_offset', 'col_blk_offset']\n #:for var in vars\n IF (C_ASSOCIATED(c_${var}$)) THEN\n CALL c_f_pointer(c_${var}$, f_${var}$, SHAPE(${var}$))\n #:if var in ['local_rows', 'local_cols', 'row_blk_offset', 'col_blk_offset']\n f_${var}$ = ${var}$-1\n #:else\n f_${var}$ = ${var}$\n #:endif\n NULLIFY (${var}$)\n END IF\n #:endfor\n\n END SUBROUTINE\n\n #:set infovars = ['local_rows', 'local_cols', 'proc_row_dist', 'proc_col_dist', &\n 'row_blk_size', 'col_blk_size', 'row_blk_offset', 'col_blk_offset']\n #:for var in infovars\n SUBROUTINE c_dbcsr_get_${var}$ (c_matrix, c_${var}$, c_size) BIND(C, name=\"c_dbcsr_get_${var}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(IN), VALUE :: c_size\n INTEGER(kind=c_int), INTENT(INOUT), DIMENSION(c_size) :: c_${var}$\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int), DIMENSION(:), POINTER :: ${var}$\n INTEGER :: i\n\n CALL c_f_pointer(c_matrix, matrix)\n\n NULLIFY (${var}$)\n CALL dbcsr_get_info(matrix=matrix, ${var}$=${var}$)\n\n #:if var in ['local_rows', 'local_cols', 'row_blk_offset', 'col_blk_offset']\n DO i = 1, c_size\n c_${var}$ (i) = ${var}$ (i) - 1\n END DO\n #:else\n DO i = 1, c_size\n c_${var}$ (i) = ${var}$ (i)\n END DO\n #:endif\n NULLIFY (${var}$)\n\n END SUBROUTINE\n #:endfor\n\n ! name, group\n SUBROUTINE c_dbcsr_get_name(c_matrix, c_name) BIND(C, name=\"c_dbcsr_get_name\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(c_ptr), INTENT(OUT) :: c_name\n TYPE(dbcsr_type), POINTER :: matrix\n CHARACTER(kind=c_char, len=:), POINTER :: name\n\n CALL c_f_pointer(c_matrix, matrix)\n\n NULLIFY (name)\n ALLOCATE (CHARACTER(len=default_string_length) :: name)\n CALL dbcsr_get_info(matrix=matrix, name=name)\n\n name = TRIM(name)//char(0)\n c_name = c_loc(name)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_get_group(c_matrix, c_group) BIND(C, name=\"c_dbcsr_get_group_aux\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n INTEGER(kind=c_int), INTENT(OUT) :: c_group\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_get_info(matrix=matrix, group=c_group)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_get_distribution(c_matrix, c_dist) &\n BIND(C, name=\"c_dbcsr_get_distribution\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(c_ptr), INTENT(OUT) :: c_dist\n TYPE(dbcsr_type), POINTER :: matrix\n TYPE(dbcsr_distribution_type), POINTER :: dist\n\n ALLOCATE (dist)\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_get_info(matrix=matrix, distribution=dist)\n c_dist = c_loc(dist)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_distribution_get(c_dist, c_row_dist, c_col_dist, &\n c_nrows, c_ncols, c_has_threads, &\n c_group, c_mynode, c_numnodes, c_nprows, &\n c_npcols, c_myprow, c_mypcol, c_pgrid, &\n c_subgroups_defined, c_prow_group, c_pcol_group) &\n BIND(C, name=\"c_dbcsr_distribution_get_aux\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_dist\n TYPE(c_ptr), INTENT(OUT), OPTIONAL :: c_row_dist, c_col_dist\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_nrows, c_ncols\n LOGICAL(kind=c_bool), INTENT(OUT), OPTIONAL :: c_has_threads\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_group, c_mynode, c_numnodes, c_nprows, c_npcols, &\n c_myprow, c_mypcol\n TYPE(c_ptr), INTENT(OUT), OPTIONAL :: c_pgrid\n LOGICAL(kind=c_bool), INTENT(OUT), OPTIONAL :: c_subgroups_defined\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_prow_group, c_pcol_group\n\n TYPE(dbcsr_distribution_type), POINTER :: dist\n INTEGER, DIMENSION(:), POINTER :: row_dist, col_dist\n LOGICAL, POINTER :: has_threads\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n LOGICAL, POINTER :: subgroups_defined\n\n CALL c_f_pointer(c_dist, dist)\n #:set bools = ['has_threads', 'subgroups_defined']\n #:for var in bools\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n END IF\n #:endfor\n\n #:set optvars = [['row_dist'], ['col_dist'], ['pgrid']]\n #:set optgroups = []\n ${gen_vargroups(optvars,optgroups)}$\n\n #:for i in range(len(optgroups))\n ${print_groupif(optgroups,optvars,i,'PRESENT','c_')}$\n\n CALL dbcsr_distribution_get(dist=dist, nrows=c_nrows, ncols=c_ncols, &\n has_threads=has_threads, &\n group=c_group, mynode=c_mynode, numnodes=c_numnodes, &\n nprows=c_nprows, npcols=c_npcols, myprow=c_myprow, mypcol=c_mypcol, &\n subgroups_defined=subgroups_defined, &\n prow_group=c_prow_group, pcol_group=c_pcol_group &\n ${print_group(optgroups[i])}$)\n #:endfor\n $:\"ENDIF\"\n\n #:for var in bools\n IF (PRESENT(c_${var}$)) THEN\n c_${var}$ = ${var}$\n DEALLOCATE (${var}$)\n END IF\n #:endfor\n #:set list = ['row_dist', 'col_dist', 'pgrid']\n #:for var in list\n IF (PRESENT(c_${var}$)) THEN\n c_${var}$ = c_loc(${var}$)\n END IF\n #:endfor\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_get_stored_coordinates(c_matrix, row, col, processor) &\n bind(C, name=\"c_dbcsr_get_stored_coordinates\")\n\n TYPE(c_ptr), INTENT(in), value :: c_matrix\n INTEGER(kind=c_int), INTENT(in), value :: row, col\n INTEGER(kind=c_int), INTENT(out) :: processor\n\n TYPE(dbcsr_type), POINTER :: matrix\n\n CALL c_f_pointer(c_matrix, matrix)\n\n CALL dbcsr_get_stored_coordinates(matrix, row + 1, col + 1, processor)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_setname(c_matrix, c_newname) &\n BIND(C, name=\"c_dbcsr_setname\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix, c_newname\n TYPE(dbcsr_type), POINTER :: matrix\n CHARACTER(:, kind=c_char), ALLOCATABLE :: newname\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL c_f_string(c_newname, newname)\n CALL dbcsr_setname(matrix, newname)\n END SUBROUTINE\n\n FUNCTION c_dbcsr_get_matrix_type(c_matrix) RESULT(c_matrix_type) &\n BIND(C, name=\"c_dbcsr_get_matrix_type\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n CHARACTER(kind=c_char) :: c_matrix_type\n\n CALL c_f_pointer(c_matrix, matrix)\n c_matrix_type = dbcsr_get_matrix_type(matrix)\n END FUNCTION\n\n FUNCTION c_dbcsr_get_occupation(c_matrix) RESULT(c_occupation) &\n BIND(C, name=\"c_dbcsr_get_occupation\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n REAL(KIND=c_double) :: c_occupation\n\n CALL c_f_pointer(c_matrix, matrix)\n c_occupation = dbcsr_get_occupation(matrix)\n END FUNCTION\n\n FUNCTION c_dbcsr_get_num_blocks(c_matrix) RESULT(c_num_blocks) &\n BIND(C, name=\"c_dbcsr_get_num_blocks\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_num_blocks\n\n CALL c_f_pointer(c_matrix, matrix)\n c_num_blocks = dbcsr_get_num_blocks(matrix)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_get_data_size(c_matrix) RESULT(c_data_size) &\n BIND(C, name=\"c_dbcsr_get_data_size\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_data_size\n\n CALL c_f_pointer(c_matrix, matrix)\n c_data_size = dbcsr_get_data_size(matrix)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_has_symmetry(c_matrix) RESULT(c_has_symmetry) &\n BIND(C, name=\"c_dbcsr_has_symmetry\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL(kind=c_bool) :: c_has_symmetry\n\n CALL c_f_pointer(c_matrix, matrix)\n c_has_symmetry = dbcsr_has_symmetry(matrix)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_nfullrows_total(c_matrix) RESULT(c_nfullrows_total) &\n BIND(C, name=\"c_dbcsr_nfullrows_total\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_nfullrows_total\n\n CALL c_f_pointer(c_matrix, matrix)\n c_nfullrows_total = dbcsr_nfullrows_total(matrix)\n END FUNCTION\n\n FUNCTION c_dbcsr_nfullcols_total(c_matrix) RESULT(c_nfullcols_total) &\n BIND(C, name=\"c_dbcsr_nfullcols_total\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_nfullcols_total\n\n CALL c_f_pointer(c_matrix, matrix)\n c_nfullcols_total = dbcsr_nfullcols_total(matrix)\n END FUNCTION\n\n FUNCTION c_dbcsr_valid_index(c_matrix) RESULT(c_valid_index) &\n BIND(C, name=\"c_dbcsr_valid_index\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n LOGICAL(kind=c_bool) :: c_valid_index\n\n CALL c_f_pointer(c_matrix, matrix)\n c_valid_index = dbcsr_valid_index(matrix)\n END FUNCTION\n\n FUNCTION c_dbcsr_get_data_type(c_matrix) RESULT(c_data_type) &\n BIND(C, name=\"c_dbcsr_get_data_type\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix\n TYPE(dbcsr_type), POINTER :: matrix\n INTEGER(kind=c_int) :: c_data_type\n\n CALL c_f_pointer(c_matrix, matrix)\n c_data_type = dbcsr_get_data_type(matrix)\n END FUNCTION\n\n ! ---------------------------------------- !\n ! other !\n ! ---------------------------------------- !\n\n SUBROUTINE c_dbcsr_binary_write(c_matrix, c_filepath) &\n BIND(C, name=\"c_dbcsr_binary_write\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix, c_filepath\n TYPE(dbcsr_type), POINTER :: matrix\n CHARACTER(:, kind=c_char), ALLOCATABLE :: filepath\n\n CALL c_f_pointer(c_matrix, matrix)\n CALL c_f_string(c_filepath, filepath)\n\n CALL dbcsr_binary_write(matrix, filepath)\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_binary_read(c_filepath, c_distribution, c_matrix_new) &\n BIND(C, name=\"c_dbcsr_binary_read\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_filepath, c_distribution\n TYPE(c_ptr), INTENT(INOUT) :: c_matrix_new\n\n CHARACTER(:, kind=c_char), ALLOCATABLE :: filepath\n TYPE(dbcsr_distribution_type), POINTER :: distribution\n TYPE(dbcsr_type), POINTER :: matrix_new\n\n CALL c_f_string(c_filepath, filepath)\n CALL c_f_pointer(c_distribution, distribution)\n ALLOCATE (matrix_new)\n\n CALL dbcsr_binary_read(filepath, distribution, matrix_new)\n c_matrix_new = c_loc(matrix_new)\n END SUBROUTINE\n\n SUBROUTINE c_free_string(c_string) BIND(C, name=\"c_free_string\")\n TYPE(c_ptr), INTENT(INOUT) :: c_string\n\n CHARACTER(:, kind=c_char), POINTER :: string\n\n CALL c_f_pointer(c_string, string)\n DEALLOCATE (string)\n c_string = c_null_ptr\n\n END SUBROUTINE c_free_string\n\nEND MODULE\n" }, { "path": "src/mm/PACKAGE", "content": "{\n\"description\": \"Matrix matrix multiplication\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../mpi\", \"../base\", \"../core\", \"../acc\", \"../data\",\n\"../dist\", \"../block\", \"../ops\", \"../acc/libsmm_acc\", \"../utils\", \"../work\"],\n\"implicit\": \"SMM_.*\"\n}\n" }, { "path": "src/mm/dbcsr_acc_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_acc_operations\n !! Accelerator support for DBCSR\n USE ISO_C_BINDING, ONLY: C_INT, &\n C_PTR, &\n C_CHAR, &\n C_LOC\n USE dbcsr_acc_devmem, ONLY: acc_devmem_cptr, &\n acc_devmem_type\n USE dbcsr_acc_stream, ONLY: acc_stream_cptr, &\n acc_stream_type, &\n acc_stream_synchronize\n USE dbcsr_config, ONLY: max_kernel_dim\n USE dbcsr_mm_types, ONLY: dbcsr_ps_width\n USE dbcsr_kinds, ONLY: real_8, dp\n USE dbcsr_types, ONLY: dbcsr_type_real_8\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n PUBLIC :: dbcsr_acc_do_mm_stack, dbcsr_acc_transpose\n\n#if defined (__DBCSR_ACC)\n INTERFACE\n FUNCTION libsmm_acc_process_cu(param_stack_host, param_stack_dev, stack_size, &\n data_type, a_data, b_data, c_data, m_max, &\n n_max, k_max, max_kernel_dim, def_mnk, &\n stack_stream_ptr, c_stream_ptr) &\n RESULT(istat) &\n BIND(C, name=\"libsmm_acc_process\")\n IMPORT\n TYPE(C_PTR), INTENT(IN), VALUE :: param_stack_host\n TYPE(C_PTR), INTENT(IN), VALUE :: param_stack_dev\n INTEGER(KIND=C_INT), INTENT(IN), VALUE :: stack_size, data_type\n TYPE(C_PTR), INTENT(IN), VALUE :: a_data, b_data, c_data\n INTEGER(KIND=C_INT), INTENT(IN), VALUE :: m_max, n_max, k_max\n INTEGER(KIND=C_INT), INTENT(IN), VALUE :: max_kernel_dim, def_mnk\n TYPE(C_PTR), VALUE :: stack_stream_ptr, c_stream_ptr\n INTEGER(KIND=C_INT) :: istat\n END FUNCTION libsmm_acc_process_cu\n\n FUNCTION libsmm_acc_transpose_cu(trs_stack, offset, nblks, buffer, &\n data_type, m, n, max_kernel_dim, stream_ptr) &\n RESULT(istat) &\n BIND(C, name=\"libsmm_acc_transpose\")\n IMPORT\n TYPE(C_PTR), INTENT(IN), VALUE :: trs_stack\n INTEGER(KIND=C_INT), INTENT(IN), VALUE :: offset, nblks\n TYPE(C_PTR), INTENT(IN), VALUE :: buffer\n INTEGER(KIND=C_INT), INTENT(IN), VALUE :: data_type, m, n\n INTEGER(KIND=C_INT), INTENT(IN), VALUE :: max_kernel_dim\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n END FUNCTION libsmm_acc_transpose_cu\n\n END INTERFACE\n#endif\n\nCONTAINS\n\n SUBROUTINE dbcsr_acc_do_mm_stack(param_stack_host, param_stack_dev, stack_size, data_type, &\n a_data, b_data, c_data, m_max, n_max, k_max, def_mnk, &\n stack_stream, c_stream, success, generated_acc_untuned)\n !! Launch an accelerated kernel for processing a stack.\n INTEGER, DIMENSION(:, :), TARGET, INTENT(IN) :: param_stack_host\n TYPE(acc_devmem_type), INTENT(IN) :: param_stack_dev\n INTEGER, INTENT(IN) :: stack_size\n INTEGER, INTENT(IN) :: data_type\n TYPE(acc_devmem_type), INTENT(IN) :: a_data, b_data\n TYPE(acc_devmem_type), INTENT(INOUT) :: c_data\n INTEGER, INTENT(IN) :: m_max, n_max, k_max\n LOGICAL, INTENT(IN) :: def_mnk\n TYPE(acc_stream_type), INTENT(IN) :: stack_stream, c_stream\n LOGICAL, INTENT(INOUT) :: success, generated_acc_untuned\n#if ! defined (__DBCSR_ACC)\n MARK_USED(param_stack_host)\n MARK_USED(param_stack_dev)\n MARK_USED(stack_size)\n MARK_USED(data_type)\n MARK_USED(a_data)\n MARK_USED(b_data)\n MARK_USED(c_data)\n MARK_USED(m_max)\n MARK_USED(n_max)\n MARK_USED(k_max)\n MARK_USED(def_mnk)\n MARK_USED(stack_stream)\n MARK_USED(c_stream)\n MARK_USED(success)\n MARK_USED(generated_acc_untuned)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_acc_do_mm_stack'\n\n INTEGER :: error_handle, istat\n INTEGER(KIND=C_INT) :: mnk\n INTEGER, DIMENSION(:, :), POINTER :: param_stack_host_ptr\n\n param_stack_host_ptr => param_stack_host(:, :)\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n\n mnk = 0\n IF (def_mnk) mnk = 1\n\n ! Call batched matrix-matrix multiplication in libsmm_acc\n istat = libsmm_acc_process_cu(C_LOC(param_stack_host_ptr), &\n acc_devmem_cptr(param_stack_dev), &\n INT(stack_size, KIND=C_INT), &\n INT(data_type, KIND=C_INT), &\n acc_devmem_cptr(a_data), &\n acc_devmem_cptr(b_data), &\n acc_devmem_cptr(c_data), &\n INT(m_max, KIND=C_INT), &\n INT(n_max, KIND=C_INT), &\n INT(k_max, KIND=C_INT), &\n INT(max_kernel_dim, KIND=C_INT), &\n mnk, acc_stream_cptr(stack_stream), acc_stream_cptr(c_stream))\n! IF (istat == -10) DBCSR_ABORT(\"Data type not supported with GPU backend.\")\n! IF (istat == -20) DBCSR_ABORT(\"GPU kernel not JIT-ed.\")\n success = (istat .GE. 0) ! false if no suitable kernel was found\n generated_acc_untuned = (istat == 10) ! Generated default untuned kernel\n\n IF (careful_mod) CALL timestop(error_handle)\n#endif\n END SUBROUTINE dbcsr_acc_do_mm_stack\n\n SUBROUTINE dbcsr_acc_transpose(trs_stack, offset, nblks, data_type, buffer, m, n, stream)\n !! Launch an accelerated transpose kernel\n TYPE(acc_devmem_type), INTENT(IN) :: trs_stack\n INTEGER, INTENT(IN) :: offset\n INTEGER, INTENT(IN) :: nblks\n INTEGER, INTENT(IN) :: data_type\n TYPE(acc_devmem_type), INTENT(IN) :: buffer\n INTEGER, INTENT(IN) :: m, n\n TYPE(acc_stream_type), INTENT(IN) :: stream\n#if ! defined (__DBCSR_ACC)\n MARK_USED(trs_stack)\n MARK_USED(offset)\n MARK_USED(nblks)\n MARK_USED(data_type)\n MARK_USED(buffer)\n MARK_USED(m)\n MARK_USED(n)\n MARK_USED(stream)\n DBCSR_ABORT(\"__DBCSR_ACC not compiled in.\")\n#else\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_acc_transpose'\n\n INTEGER :: error_handle, istat\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n istat = 0\n\n ! Call batched in-place transpose in libsmm_acc\n IF (m .LE. max_kernel_dim .AND. &\n n .LE. max_kernel_dim) THEN\n istat = libsmm_acc_transpose_cu(acc_devmem_cptr(trs_stack), &\n INT(offset, KIND=C_INT), &\n INT(nblks, KIND=C_INT), &\n acc_devmem_cptr(buffer), &\n INT(data_type, KIND=C_INT), &\n INT(m, KIND=C_INT), &\n INT(n, KIND=C_INT), &\n INT(max_kernel_dim, KIND=C_INT), &\n acc_stream_cptr(stream))\n END IF\n\n IF (istat /= 0) DBCSR_ABORT(\"something went wrong.\")\n IF (careful_mod) CALL timestop(error_handle)\n#endif\n END SUBROUTINE dbcsr_acc_transpose\n\nEND MODULE dbcsr_acc_operations\n" }, { "path": "src/mm/dbcsr_mm.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! Copyright (C) 2022 Advanced Micro Devices, Inc. - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm\n !! Entry point of the dbcsr matrix-matrix multiplication.\n !! Modification history:\n !! - 2016-08 Code organization (Alfio Lazzaro).\n\n USE dbcsr_acc_device, ONLY: dbcsr_acc_clear_errors\n USE dbcsr_acc_stream, ONLY: acc_stream_associated, &\n acc_stream_create, &\n acc_stream_destroy\n USE dbcsr_array_types, ONLY: array_data, &\n array_equality, &\n array_hold, &\n array_i1d_obj, &\n array_nullify, &\n array_release\n USE dbcsr_config, ONLY: dbcsr_cfg, &\n dbcsr_set_config, &\n default_resize_factor, &\n use_acc\n USE dbcsr_data_methods, ONLY: dbcsr_data_set_size_referenced, &\n dbcsr_scalar_are_equal, &\n dbcsr_scalar_one, &\n dbcsr_scalar_zero\n USE dbcsr_dist_methods, ONLY: &\n dbcsr_distribution_col_dist, dbcsr_distribution_get_num_images_1d, &\n dbcsr_distribution_has_threads, dbcsr_distribution_hold, dbcsr_distribution_make_threads, &\n dbcsr_distribution_mp, dbcsr_distribution_ncols, dbcsr_distribution_no_threads, &\n dbcsr_distribution_nrows, dbcsr_distribution_release, dbcsr_distribution_row_dist\n USE dbcsr_dist_util, ONLY: dbcsr_checksum, &\n dbcsr_verify_matrix\n USE dbcsr_index_operations, ONLY: dbcsr_make_index_canonical\n USE dbcsr_io, ONLY: dbcsr_print\n USE dbcsr_kinds, ONLY: dp, &\n int_8, &\n real_8\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mem_methods, ONLY: dbcsr_mempool_clear, &\n dbcsr_mempool_destruct, &\n dbcsr_mempool_limit_capacity, &\n dbcsr_memtype_setup\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_offsets, dbcsr_col_block_sizes, dbcsr_destroy_array, dbcsr_distribution, &\n dbcsr_get_matrix_type, dbcsr_has_symmetry, dbcsr_image_dist_release, dbcsr_nblkcols_total, &\n dbcsr_nfullcols_total, dbcsr_nfullrows_total, dbcsr_release, dbcsr_release_locals, &\n dbcsr_row_block_offsets, dbcsr_get_data_type\n USE dbcsr_mm_3D, ONLY: buffers_release, &\n dbcsr_make_buffers, &\n get_max_layers_3D, &\n make_layers_3D_C_reduction, &\n multiply_3D, &\n release_layers_3D_C_reduction, &\n request_sync_mult\n USE dbcsr_mm_cannon, ONLY: make_m2s, &\n multiply_cannon, &\n multiply_cannon_g2g\n USE dbcsr_mm_common, ONLY: &\n dbcsr_mpi_statistics, max_memory, memtype_abpanel_1, memtype_abpanel_2, &\n memtype_mpi_buffer, memtype_mpi_product, memtype_product_wm, memtype_trsbuffer_1, &\n memtype_normsbuf, memtype_offsetsbuf, memtype_nelemsbuf, &\n memtype_trsbuffer_2, num_multiplications, stream_1, stream_2\n USE dbcsr_mm_dist_operations, ONLY: dbcsr_create_image_dist, &\n dbcsr_make_dists_dense, &\n dbcsr_reset_locals, &\n make_sizes_dense\n USE dbcsr_mm_multrec, ONLY: dbcsr_mm_multrec_lib_finalize, &\n dbcsr_mm_multrec_lib_init\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_group, &\n dbcsr_mp_npcols, &\n dbcsr_mp_nprows, &\n dbcsr_mp_numnodes\n USE dbcsr_mpiwrap, ONLY: mp_get_library_version, &\n mp_isync, &\n mp_max, &\n mp_max_library_version_string, &\n mp_min, &\n mp_request_null, &\n mp_sum, &\n mp_wait, mp_comm_type\n USE dbcsr_operations, ONLY: dbcsr_conjg, &\n dbcsr_copy, &\n dbcsr_get_occupation, &\n dbcsr_may_be_dense, &\n dbcsr_scale\n USE dbcsr_string_utilities, ONLY: uppercase\n USE dbcsr_transformations, ONLY: dbcsr_make_dense, &\n dbcsr_make_undense, &\n dbcsr_make_untransposed_blocks, &\n dbcsr_new_transposed\n USE dbcsr_types, ONLY: &\n dbcsr_2d_array_type, dbcsr_conjugate_transpose, dbcsr_distribution_obj, &\n dbcsr_imagedistribution_obj, dbcsr_mp_obj, dbcsr_mpi_size_limits, dbcsr_no_transpose, &\n dbcsr_scalar_type, dbcsr_transpose, dbcsr_type, dbcsr_type_antisymmetric, &\n dbcsr_type_real_8\n USE dbcsr_work_operations, ONLY: dbcsr_add_wm_from_matrix, &\n dbcsr_finalize, &\n dbcsr_work_create\n USE dbcsr_mm_sched, ONLY: dbcsr_mm_sched_print_statistics\n\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm'\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n REAL, PRIVATE, SAVE :: marketing_flops = 0\n\n PUBLIC :: dbcsr_multiply_lib_init, dbcsr_multiply_lib_finalize\n PUBLIC :: dbcsr_multiply_print_statistics\n PUBLIC :: dbcsr_multiply_clear_mempools\n PUBLIC :: dbcsr_multiply_generic\n\nCONTAINS\n\n SUBROUTINE dbcsr_multiply_lib_init()\n !! Initialize the library\n\n INTEGER :: ithread, nthreads\n\n nthreads = 1; ithread = 0\n!$ nthreads = OMP_GET_NUM_THREADS(); ithread = OMP_GET_THREAD_NUM()\n\n CALL dbcsr_mm_multrec_lib_init()\n\n!$OMP MASTER\n dbcsr_mpi_statistics%last_mpi_ranks_used = 0\n dbcsr_mpi_statistics%nimages = -1\n dbcsr_mpi_statistics%nexchanged = 0\n dbcsr_mpi_statistics%data_size = 0\n dbcsr_mpi_statistics%data_size(:, 2) = HUGE(dbcsr_mpi_statistics%data_size(1, 2))\n dbcsr_mpi_statistics%data_size_breakdown = 0\n\n marketing_flops = 0\n max_memory = 0\n ALLOCATE (memtype_product_wm(0:nthreads - 1))\n!$OMP END MASTER\n!$OMP BARRIER\n\n ! Each thread has its own working-matrix and its own mempool\n ALLOCATE (memtype_product_wm(ithread)%p)\n CALL dbcsr_memtype_setup(memtype_product_wm(ithread)%p, has_pool=dbcsr_cfg%use_mempools_cpu%val .OR. use_acc())\n CALL dbcsr_mempool_limit_capacity(memtype_product_wm(ithread)%p%pool, capacity=MAX(1, dbcsr_cfg%num_layers_3D%val))\n END SUBROUTINE dbcsr_multiply_lib_init\n\n SUBROUTINE dbcsr_multiply_lib_finalize()\n !! Finalize the library\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_multiply_lib_finalize'\n\n INTEGER :: error_handle, ithread\n\n CALL timeset(routineN, error_handle)\n\n CALL dbcsr_mm_multrec_lib_finalize()\n\n ithread = 0\n!$ ithread = omp_get_thread_num()\n\n ! Each thread has its own working-matrix and its own mempool\n IF (ASSOCIATED(memtype_product_wm(ithread)%p%pool)) &\n CALL dbcsr_mempool_destruct(memtype_product_wm(ithread)%p%pool)\n DEALLOCATE (memtype_product_wm(ithread)%p)\n!$OMP BARRIER\n!$OMP MASTER\n DEALLOCATE (memtype_product_wm)\n\n ! Deallocate buffers\n CALL buffers_release()\n\n ! Release 3D communicators\n CALL release_layers_3D_C_reduction(release_buffers=.TRUE.)\n\n IF (ASSOCIATED(memtype_trsbuffer_1%pool)) &\n CALL dbcsr_mempool_destruct(memtype_trsbuffer_1%pool)\n IF (ASSOCIATED(memtype_trsbuffer_2%pool)) &\n CALL dbcsr_mempool_destruct(memtype_trsbuffer_2%pool)\n IF (ASSOCIATED(memtype_normsbuf%pool)) &\n CALL dbcsr_mempool_destruct(memtype_normsbuf%pool)\n IF (ASSOCIATED(memtype_offsetsbuf%pool)) &\n CALL dbcsr_mempool_destruct(memtype_offsetsbuf%pool)\n IF (ASSOCIATED(memtype_nelemsbuf%pool)) &\n CALL dbcsr_mempool_destruct(memtype_nelemsbuf%pool)\n IF (ASSOCIATED(memtype_abpanel_1%pool)) &\n CALL dbcsr_mempool_destruct(memtype_abpanel_1%pool)\n IF (ASSOCIATED(memtype_abpanel_2%pool)) &\n CALL dbcsr_mempool_destruct(memtype_abpanel_2%pool)\n IF (ASSOCIATED(memtype_mpi_product%pool)) &\n CALL dbcsr_mempool_destruct(memtype_mpi_product%pool)\n IF (acc_stream_associated(stream_1)) &\n CALL acc_stream_destroy(stream_1)\n IF (acc_stream_associated(stream_2)) &\n CALL acc_stream_destroy(stream_2)\n!$OMP END MASTER\n\n CALL timestop(error_handle)\n\n END SUBROUTINE dbcsr_multiply_lib_finalize\n\n SUBROUTINE dbcsr_multiply_print_statistics(group, output_unit)\n !! Print statistics\n TYPE(mp_comm_type), INTENT(IN) :: group\n INTEGER, INTENT(IN) :: output_unit\n\n INTEGER(KIND=int_8) :: total_nexchanged\n INTEGER(KIND=int_8), &\n DIMENSION(SIZE(dbcsr_mpi_size_limits) + 1, 2, 2) :: total_recv_breakdown\n REAL :: average, total_marketing_flops, &\n total_max_memory\n REAL, DIMENSION(2) :: max_recv_data, min_recv_data, &\n total_recv_data\n INTEGER :: ilimit, isqrt, isqrt2\n CHARACTER(len=1000) :: msg\n\n call dbcsr_mm_sched_print_statistics(group, output_unit)\n\n total_max_memory = max_memory\n CALL mp_max(total_max_memory, group)\n\n total_marketing_flops = marketing_flops\n CALL mp_sum(total_marketing_flops, group)\n\n total_nexchanged = dbcsr_mpi_statistics%nexchanged\n CALL mp_sum(total_nexchanged, group)\n\n total_recv_data(:) = dbcsr_mpi_statistics%data_size(:, 1)\n CALL mp_sum(total_recv_data, group)\n\n min_recv_data(:) = dbcsr_mpi_statistics%data_size(:, 2)\n CALL mp_min(min_recv_data, group)\n\n max_recv_data(:) = dbcsr_mpi_statistics%data_size(:, 3)\n CALL mp_max(max_recv_data, group)\n\n IF (dbcsr_mpi_statistics%nexchanged .GT. 0) THEN\n average = SUM(total_recv_data(:))/REAL(total_nexchanged)\n ELSE\n average = 0\n min_recv_data = 0\n END IF\n\n total_recv_breakdown(:, :, :) = dbcsr_mpi_statistics%data_size_breakdown(:, :, :)\n CALL mp_sum(total_recv_breakdown, group)\n\n IF (output_unit > 0) THEN\n WRITE (output_unit, '(A,T30,EN20.6)') \" marketing flops\", total_marketing_flops\n\n IF (dbcsr_mpi_statistics%nimages .GT. 0) THEN\n WRITE (UNIT=output_unit, FMT=\"(T2,A)\") REPEAT(\"-\", 79)\n WRITE (output_unit, '(A,T30,I20)') \" # multiplications\", num_multiplications\n WRITE (output_unit, '(A,T30,EN20.6)') \" max memory usage/rank\", total_max_memory\n WRITE (output_unit, '(A,T30,I20)') \" # max total images/rank\", dbcsr_mpi_statistics%nimages\n WRITE (output_unit, '(A,T30,I20)') \" # max 3D layers\", get_max_layers_3D()\n WRITE (output_unit, '(A,T30,I20)') \" # MPI messages exchanged\", total_nexchanged\n IF (total_nexchanged > 0) THEN ! omit noisy output in single-node case\n WRITE (output_unit, '(A)') \" MPI messages size (bytes):\"\n WRITE (output_unit, '(A,T30,EN20.6)') \" total size\", &\n SUM(total_recv_data(:))\n WRITE (output_unit, '(A,T30,EN20.6)') \" min size\", &\n MINVAL(min_recv_data(:))\n WRITE (output_unit, '(A,T30,EN20.6)') \" max size\", &\n MAXVAL(max_recv_data(:))\n WRITE (output_unit, '(A,T30,EN20.6)') \" average size\", average\n\n WRITE (output_unit, '(A)') \" MPI breakdown and total messages size (bytes):\"\n WRITE (output_unit, '(A,I8,T40,I10,T55,I20)') \" size <= \", dbcsr_mpi_size_limits(1), &\n SUM(total_recv_breakdown(1, 1, :)), SUM(total_recv_breakdown(1, 2, :))\n DO ilimit = 2, SIZE(dbcsr_mpi_size_limits)\n WRITE (output_unit, '(A,I8,A,I8,T40,I10,T55,I20)') \" \", dbcsr_mpi_size_limits(ilimit - 1), &\n \" < size <= \", dbcsr_mpi_size_limits(ilimit), &\n SUM(total_recv_breakdown(ilimit, 1, :)), SUM(total_recv_breakdown(ilimit, 2, :))\n END DO\n ilimit = SIZE(dbcsr_mpi_size_limits)\n WRITE (output_unit, '(A,I8,A,T40,I10,T55,I20)') \" \", dbcsr_mpi_size_limits(ilimit), &\n \" < size \", SUM(total_recv_breakdown(ilimit + 1, 1, :)), SUM(total_recv_breakdown(ilimit + 1, 2, :))\n END IF\n END IF\n\n isqrt = NINT(SQRT(REAL(dbcsr_mpi_statistics%last_mpi_ranks_used, KIND=real_8)))\n isqrt2 = NINT(SQRT(REAL(dbcsr_mpi_statistics%last_mpi_ranks_used*2, KIND=real_8)))\n IF (isqrt*isqrt .NE. dbcsr_mpi_statistics%last_mpi_ranks_used) THEN\n WRITE (UNIT=output_unit, FMT=\"(T2,A)\") REPEAT(\"-\", 79)\n WRITE (UNIT=msg, FMT=\"(A,I0,A,2(I0,1X))\") &\n \"Using a non-square number of MPI ranks might lead to poor performance.\"// &\n \" Used ranks: \", dbcsr_mpi_statistics%last_mpi_ranks_used, &\n \" Suggested: \", isqrt**2, isqrt2**2\n DBCSR_WARN(msg)\n END IF\n END IF\n END SUBROUTINE dbcsr_multiply_print_statistics\n\n SUBROUTINE dbcsr_multiply_clear_mempools()\n !! Deallocate memory contained in mempools\n\n INTEGER :: ithread\n\n ithread = 0\n!$ ithread = omp_get_thread_num()\n\n ! Each thread has its own working-matrix and its own mempool\n IF (ASSOCIATED(memtype_product_wm(ithread)%p%pool)) &\n CALL dbcsr_mempool_clear(memtype_product_wm(ithread)%p%pool)\n\n!$OMP MASTER\n IF (ASSOCIATED(memtype_trsbuffer_1%pool)) &\n CALL dbcsr_mempool_clear(memtype_trsbuffer_1%pool)\n IF (ASSOCIATED(memtype_trsbuffer_2%pool)) &\n CALL dbcsr_mempool_clear(memtype_trsbuffer_2%pool)\n IF (ASSOCIATED(memtype_normsbuf%pool)) &\n CALL dbcsr_mempool_clear(memtype_normsbuf%pool)\n IF (ASSOCIATED(memtype_offsetsbuf%pool)) &\n CALL dbcsr_mempool_clear(memtype_offsetsbuf%pool)\n IF (ASSOCIATED(memtype_nelemsbuf%pool)) &\n CALL dbcsr_mempool_clear(memtype_nelemsbuf%pool)\n IF (ASSOCIATED(memtype_abpanel_1%pool)) &\n CALL dbcsr_mempool_clear(memtype_abpanel_1%pool)\n IF (ASSOCIATED(memtype_abpanel_2%pool)) &\n CALL dbcsr_mempool_clear(memtype_abpanel_2%pool)\n!$OMP END MASTER\n END SUBROUTINE dbcsr_multiply_clear_mempools\n\n SUBROUTINE dbcsr_multiply_generic(transa, transb, &\n alpha, matrix_a, matrix_b, beta, matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, filter_eps, &\n flop)\n !! Performs a multiplication of two dbcsr_type matrices,\n !! as C := alpha * op( A ) * op( B ) + beta * C.\n !!\n !! Matrices m_a and m_b are multiplied into the m_c product matrix. If the\n !! dist2d parameter is not specified, then a new distribution_2d is\n !! determined for it.\n !!\n !! Non-equal column dimensions of the right and product matrices\n !! The right and product matrix are allowed to have different\n !! (full) column dimensions. If they differ, there are certain\n !! peculiar behaviors, then the last_column is effectively set to\n !! the minimal of the two.\n !!\n !! Beta scaling of the right product matrix\n !! If the effective last_column is less than the full column\n !! dimension of the product matrix, then the scaling of the\n !! product matrix with beta is limited to the submatrix specified\n !! by last_column.\n !!\n !! Filtering\n !! The filter_eps parameter, if present, is used to filter the\n !! resulting matrix. The filtering criterion is whether the\n !! block-frobenius norm is less than the specified epsilon.\n !! One-the-fly filtering is done such that individual\n !! multiplications are skipped if the product of the frobenius\n !! norms of the left- and right-matrix blocks are less than the\n !! specified epsilon divided by the maximum number of possible\n !! multiplies in each row. In addition a final filtering is done\n !! as well with the same epsilon value.\n\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb\n !! specifies the form of op( A ) to be used in the matrix multiplication transa = 'N' or 'n', op( A ) = A. transa = 'T' or\n !! 't', op( A ) = transpose(A). transa = 'C' or 'c', op( A ) = transpose(conjg(A)).\n !! specifies the form of op( B ) to be used in the matrix multiplication transb = 'N' or 'n', op( B ) = B. transb = 'T' or\n !! 't', op( B ) = transpose(B). transb = 'C' or 'c', op( B ) = transpose(conjg(B)).\n TYPE(dbcsr_scalar_type), INTENT(IN) :: alpha\n !! scaling of product\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n !! left BCSR matrix\n !! right BCSR matrix\n TYPE(dbcsr_scalar_type), INTENT(IN) :: beta\n !! scaling of existing data\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_c\n !! resulting BCSR product matrix.\n INTEGER, INTENT(IN), OPTIONAL :: first_row, last_row, first_column, &\n last_column, first_k, last_k\n !! first full row of limiting submatrix\n !! last full row of limiting submatrix\n !! first full column of limiting submatrix\n !! last full column of limiting submatrix\n !! first full column of limiting inner product\n !! last full column of limiting inner product\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n !! enforce the sparsity pattern of the existing product matrix; default is no\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n !! Filtering of the matrix\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: flop\n !! effective flop\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_multiply_generic'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n REAL(real_8), PARAMETER :: make_dense_occ_thresh = 1.0_dp\n\n CHARACTER :: transa_l, transb_l\n INTEGER :: f_col, f_k, f_row, handle, handle2, ithread, l_col, l_k, l_row, &\n nimages_left_rows, nimages_match, nimages_right_cols, npcols, nprows, numnodes, &\n data_type, output_unit\n INTEGER(KIND=int_8) :: my_flop\n LOGICAL :: ab_dense, keep_product_data, keep_sparsity, product_reindex, release_tdist, &\n transpose_left, transpose_right, use_dense_mult, use_mempools, thread_dist_force\n REAL(KIND=dp) :: cs\n TYPE(array_i1d_obj) :: dense_col_sizes, dense_k_sizes, dense_row_sizes, k_vmap, m_map, &\n n_map, old_product_col_blk_offsets, old_product_col_blk_sizes, &\n old_product_row_blk_offsets, old_product_row_blk_sizes, &\n matrix_c_thread_dist\n TYPE(dbcsr_2d_array_type), POINTER :: m2s_left, m2s_right\n TYPE(dbcsr_distribution_obj) :: dense_product_distribution, &\n old_product_distribution\n TYPE(dbcsr_imagedistribution_obj) :: dense_rdist_left, dense_rdist_right, &\n rdist_left, rdist_right\n TYPE(dbcsr_mp_obj) :: mp_obj\n TYPE(dbcsr_type) :: matrix_left, matrix_right, product_matrix\n TYPE(mp_comm_type) :: comm\n\n CALL timeset(routineN, handle)\n\n IF (dbcsr_get_occupation(matrix_a) .GT. 1) &\n DBCSR_ABORT(\"Matrix A occupation > 1\")\n\n IF (dbcsr_get_occupation(matrix_b) .GT. 1) &\n DBCSR_ABORT(\"Matrix B occupation > 1\")\n\n IF (dbcsr_get_occupation(matrix_c) .GT. 1) &\n DBCSR_ABORT(\"Matrix C occupation > 1\")\n\n CALL array_nullify(dense_k_sizes)\n CALL array_nullify(dense_col_sizes)\n CALL array_nullify(dense_row_sizes)\n\n ! Reset GPU errors\n IF (use_acc()) THEN\n CALL dbcsr_acc_clear_errors()\n END IF\n\n ! Check if RMA is used with OpenMPI, if so disabled it\n ! (OpenMPI has several bugs with RMA and it does not\n ! give any performance benefit)\n CALL check_openmpi_rma()\n\n use_mempools = dbcsr_cfg%use_mempools_cpu%val .OR. use_acc()\n\n ! setup driver-dependent memory-types and their memory-pools ---------------\n\n ! the ab_buffers are shared by all threads\n IF (use_acc()) THEN\n IF (.NOT. acc_stream_associated(stream_1)) THEN\n CALL acc_stream_create(stream_1, \"MemCpy (odd ticks)\")\n CALL acc_stream_create(stream_2, \"MemCpy (even ticks)\")\n END IF\n\n CALL dbcsr_memtype_setup(memtype_abpanel_1, has_pool=.TRUE., &\n acc_hostalloc=.TRUE., acc_devalloc=.TRUE., acc_stream=stream_1, &\n mpi=.TRUE., oversize_factor=default_resize_factor)\n\n CALL dbcsr_memtype_setup(memtype_abpanel_2, has_pool=.TRUE., &\n acc_hostalloc=.TRUE., acc_devalloc=.TRUE., acc_stream=stream_2, &\n mpi=.TRUE., oversize_factor=default_resize_factor)\n\n !TODO: ensure capacity 2/3?\n CALL dbcsr_memtype_setup(memtype_trsbuffer_1, has_pool=.TRUE., &\n acc_hostalloc=.TRUE., acc_devalloc=.TRUE., acc_stream=stream_1)\n CALL dbcsr_memtype_setup(memtype_trsbuffer_2, has_pool=.TRUE., &\n acc_hostalloc=.TRUE., acc_devalloc=.TRUE., acc_stream=stream_2)\n CALL dbcsr_memtype_setup(memtype_normsbuf, has_pool=.TRUE., &\n acc_hostalloc=.TRUE., acc_devalloc=.TRUE., acc_stream=stream_1)\n CALL dbcsr_memtype_setup(memtype_offsetsbuf, has_pool=.TRUE., &\n acc_hostalloc=.TRUE., acc_devalloc=.TRUE., acc_stream=stream_1)\n CALL dbcsr_memtype_setup(memtype_nelemsbuf, has_pool=.TRUE., &\n acc_hostalloc=.TRUE., acc_devalloc=.TRUE., acc_stream=stream_1)\n CALL dbcsr_mempool_limit_capacity(memtype_trsbuffer_1%pool, capacity=1)\n CALL dbcsr_mempool_limit_capacity(memtype_trsbuffer_2%pool, capacity=1)\n CALL dbcsr_mempool_limit_capacity(memtype_normsbuf%pool, capacity=1)\n CALL dbcsr_mempool_limit_capacity(memtype_offsetsbuf%pool, capacity=1)\n CALL dbcsr_mempool_limit_capacity(memtype_nelemsbuf%pool, capacity=1)\n END IF\n\n CALL dbcsr_memtype_setup(memtype_mpi_buffer, mpi=.TRUE.)\n CALL dbcsr_memtype_setup(memtype_mpi_product, mpi=.TRUE., has_pool=use_mempools)\n\n ! check parameters ---------------------------------------------------------\n transa_l = transa\n transb_l = transb\n CALL uppercase(transa_l)\n CALL uppercase(transb_l)\n IF (transa_l .NE. dbcsr_no_transpose .AND. &\n transa_l .NE. dbcsr_transpose .AND. &\n transa_l .NE. dbcsr_conjugate_transpose) &\n DBCSR_ABORT(\"Invalid transa_l = \"//transa_l)\n\n IF (transb_l .NE. dbcsr_no_transpose .AND. &\n transb_l .NE. dbcsr_transpose .AND. &\n transb_l .NE. dbcsr_conjugate_transpose) &\n DBCSR_ABORT(\"Invalid transb_l = \"//transb_l)\n\n IF (dbg) THEN\n WRITE (*, *) '========== MULTIPLICATION ========================'\n CALL dbcsr_verify_matrix(matrix_a)\n CALL dbcsr_verify_matrix(matrix_b)\n CALL dbcsr_verify_matrix(matrix_c)\n WRITE (*, *) routineN//\" ABC checksums\", &\n dbcsr_checksum(matrix_a), &\n dbcsr_checksum(matrix_b), &\n dbcsr_checksum(matrix_c)\n IF (dbg) THEN\n CALL dbcsr_print(matrix_a, nodata=.TRUE.)\n CALL dbcsr_print(matrix_b, nodata=.TRUE.)\n CALL dbcsr_print(matrix_c, nodata=.TRUE.)\n END IF\n END IF\n\n ! transpose/conjg left and/or right matrices if needed\n transpose_left = .FALSE.\n SELECT CASE (transa_l)\n CASE (dbcsr_no_transpose)\n matrix_left = matrix_a\n transpose_left = .FALSE.\n CASE (dbcsr_transpose)\n matrix_left = dbcsr_type()\n IF (dbcsr_get_matrix_type(matrix_a) .EQ. dbcsr_type_antisymmetric) THEN\n !\n ! For antisymmetric matrix, we need to do a hard copy\n ! shallow_data_copy=.TRUE. does not handle properly antisymm matrices\n CALL dbcsr_new_transposed(matrix_left, matrix_a, &\n shallow_data_copy=.FALSE., redistribute=.FALSE., &\n transpose_distribution=.FALSE.)\n ELSE\n CALL dbcsr_new_transposed(matrix_left, matrix_a, &\n shallow_data_copy=.TRUE., redistribute=.FALSE., &\n transpose_distribution=.FALSE.)\n END IF\n transpose_left = .TRUE.\n CASE (dbcsr_conjugate_transpose)\n matrix_left = dbcsr_type()\n CALL dbcsr_new_transposed(matrix_left, matrix_a, &\n shallow_data_copy=.FALSE., redistribute=.FALSE., &\n transpose_distribution=.FALSE.)\n CALL dbcsr_conjg(matrix_left)\n transpose_left = .TRUE.\n CASE DEFAULT\n DBCSR_ABORT(\"wrong transa_l = \"//transa_l)\n END SELECT\n\n transpose_right = .FALSE.\n SELECT CASE (transb_l)\n CASE (dbcsr_no_transpose)\n matrix_right = matrix_b\n transpose_right = .FALSE.\n CASE (dbcsr_transpose)\n matrix_right = dbcsr_type()\n IF (dbcsr_get_matrix_type(matrix_b) .EQ. dbcsr_type_antisymmetric) THEN\n !\n ! For antisymmetric matrix, we need to do a hard copy\n ! shallow_data_copy=.TRUE. does not handle properly antisymm matrices\n CALL dbcsr_new_transposed(matrix_right, matrix_b, &\n shallow_data_copy=.FALSE., redistribute=.FALSE., &\n transpose_distribution=.FALSE.)\n ELSE\n CALL dbcsr_new_transposed(matrix_right, matrix_b, &\n shallow_data_copy=.TRUE., redistribute=.FALSE., &\n transpose_distribution=.FALSE.)\n END IF\n transpose_right = .TRUE.\n CASE (dbcsr_conjugate_transpose)\n matrix_right = dbcsr_type()\n CALL dbcsr_new_transposed(matrix_right, matrix_b, &\n shallow_data_copy=.FALSE., redistribute=.FALSE., &\n transpose_distribution=.FALSE.)\n CALL dbcsr_conjg(matrix_right)\n transpose_right = .TRUE.\n CASE DEFAULT\n DBCSR_ABORT(\"wrong transb_l = \"//transb_l)\n END SELECT\n !\n ! Ensure matrix compatibility.\n IF (.NOT. array_equality(matrix_c%row_blk_offset, matrix_left%row_blk_offset)) &\n DBCSR_ABORT(\"C/A rows not equal\")\n IF (.NOT. array_equality(matrix_c%col_blk_offset, matrix_right%col_blk_offset)) &\n DBCSR_ABORT(\"C/B columns not equal\")\n IF (.NOT. array_equality(matrix_left%col_blk_offset, matrix_right%row_blk_offset)) &\n DBCSR_ABORT(\"A cols/B rows not equal\")\n !\n ! No dense multiplication when filtering is used.\n use_dense_mult = dbcsr_cfg%mm_dense%val .AND. (.NOT. PRESENT(filter_eps))\n !\n mp_obj = dbcsr_distribution_mp(matrix_c%dist)\n numnodes = dbcsr_mp_numnodes(mp_obj)\n nprows = dbcsr_mp_nprows(mp_obj)\n npcols = dbcsr_mp_npcols(mp_obj)\n !\n ! 3D layers\n CALL make_layers_3D_C_reduction(dbcsr_cfg%num_layers_3D%val, mp_obj)\n !\n ! No dense multiplication when RMA is used.\n IF (dbcsr_cfg%use_mpi_rma%val) THEN\n use_dense_mult = .FALSE.\n END IF\n ! we skip dense multiply for (anti)symmetric matrices (slowdown for S/H * C)\n IF (use_dense_mult) THEN\n IF (dbcsr_has_symmetry(matrix_left) .OR. &\n dbcsr_has_symmetry(matrix_right)) THEN\n use_dense_mult = .FALSE.\n ELSE\n use_dense_mult = dbcsr_may_be_dense(matrix_left, make_dense_occ_thresh) &\n .AND. dbcsr_may_be_dense(matrix_right, make_dense_occ_thresh)\n END IF\n END IF\n ab_dense = use_dense_mult\n ! Use memory pools when no dense\n IF (.NOT. use_acc()) THEN\n CALL dbcsr_memtype_setup(memtype_abpanel_1, has_pool=.NOT. ab_dense .AND. use_mempools, mpi=.TRUE.)\n CALL dbcsr_memtype_setup(memtype_abpanel_2, has_pool=.NOT. ab_dense .AND. use_mempools, mpi=.TRUE.)\n END IF\n !\n ! Submatrix selection\n f_row = 1\n l_row = dbcsr_nfullrows_total(matrix_c)\n f_col = 1\n l_col = dbcsr_nfullcols_total(matrix_c)\n f_k = 1\n l_k = dbcsr_nfullcols_total(matrix_left)\n IF (PRESENT(first_row)) THEN\n IF (first_row .LT. 1 .OR. first_row .GT. dbcsr_nfullrows_total(matrix_c)) &\n DBCSR_ABORT(\"Invalid first row specified\")\n f_row = first_row\n END IF\n IF (PRESENT(last_row)) THEN\n IF (last_row .GT. dbcsr_nfullrows_total(matrix_c)) &\n DBCSR_ABORT(\"Invalid last row specified\")\n l_row = last_row\n END IF\n IF (PRESENT(first_column)) THEN\n IF (first_column .LT. 1 .OR. first_column .GT. dbcsr_nfullcols_total(matrix_c)) &\n DBCSR_ABORT(\"Invalid first col specified\")\n f_col = first_column\n END IF\n IF (PRESENT(last_column)) THEN\n IF (last_column .GT. dbcsr_nfullcols_total(matrix_c)) &\n DBCSR_ABORT(\"Invalid last column specified (C)\")\n IF (last_column .GT. dbcsr_nfullcols_total(matrix_right)) &\n DBCSR_ABORT(\"Invalid last column specified (B)\")\n l_col = last_column\n END IF\n IF (PRESENT(first_k)) THEN\n IF (first_k .LT. 1 .OR. first_k .GT. dbcsr_nfullcols_total(matrix_left)) &\n DBCSR_ABORT(\"Invalid first k specified (A)\")\n f_k = first_k\n END IF\n IF (PRESENT(last_k)) THEN\n IF (last_k .GT. dbcsr_nfullcols_total(matrix_left)) &\n DBCSR_ABORT(\"Invalid last k specified (A)\")\n l_k = last_k\n END IF\n !\n ! update statistics (we count marketing flops per MPI rank)\n dbcsr_mpi_statistics%last_mpi_ranks_used = numnodes\n marketing_flops = marketing_flops + &\n (2.0*(l_row - f_row + 1.0)*(l_col - f_col + 1.0)/numnodes)*(l_k - f_k + 1.0)\n !\n ! Now optimize the default submatrix selection values away\n IF (f_row .EQ. 1) f_row = 0\n IF (l_row .EQ. dbcsr_nfullrows_total(matrix_left)) l_row = 0\n IF (f_col .EQ. 1) f_col = 0\n ! The last column must be set if the right and product matrices\n ! differ.\n l_col = MIN(l_col, dbcsr_nfullcols_total(matrix_right))\n l_col = MIN(l_col, dbcsr_nfullcols_total(matrix_c))\n IF (f_col .LE. 1 .AND. &\n l_col .EQ. dbcsr_nfullcols_total(matrix_right) .AND. &\n dbcsr_nfullcols_total(matrix_right) .EQ. &\n dbcsr_nfullcols_total(matrix_c)) l_col = 0\n IF (f_k .EQ. 1) f_k = 0\n IF (l_k .EQ. dbcsr_nfullcols_total(matrix_left)) l_k = 0\n IF (.NOT. PRESENT(last_column) .AND. &\n .NOT. array_equality(matrix_right%col_blk_size, &\n matrix_c%col_blk_size)) THEN\n l_col = MIN(dbcsr_nfullcols_total(matrix_right), &\n dbcsr_nfullcols_total(matrix_c))\n END IF\n IF (f_row .GT. l_row .AND. l_row .GT. 0) &\n DBCSR_ABORT(\"Last row smaller than first row\")\n IF (f_col .GT. l_col .AND. l_col .GT. 0) &\n DBCSR_ABORT(\"Last col smaller than first col\")\n !\n ! Product data needs to be retained when\n ! * beta != 0; or\n ! * there is column limiting (l_col > 0) and the limiting column\n ! is less than the number of full columns in the product matrix\n keep_sparsity = .FALSE.\n IF (PRESENT(retain_sparsity)) keep_sparsity = retain_sparsity\n !\n keep_product_data = keep_sparsity &\n .OR. .NOT. dbcsr_scalar_are_equal(beta, dbcsr_scalar_zero(beta%data_type)) &\n .OR. (l_col .GT. 0 .AND. l_col .LT. dbcsr_nfullcols_total(matrix_c)) &\n .OR. (l_row .GT. 0 .AND. l_row .LT. dbcsr_nfullrows_total(matrix_c))\n !\n IF (.NOT. dbcsr_scalar_are_equal(beta, dbcsr_scalar_one(beta%data_type)) .AND. keep_product_data) THEN\n CALL dbcsr_scale(matrix_c, alpha_scalar=beta, &\n limits=(/f_row, l_row, f_col, l_col/))\n END IF\n !\n ! The index of the product matrix is twiddled into canonical form\n ! if it is (anti)symmetric (i.e., rows and columns are where the\n ! row/column distributions say they are). Doing this in advance\n ! makes the local multiply more efficient.\n IF (dbcsr_has_symmetry(matrix_c)) THEN\n product_reindex = .TRUE.\n ELSE\n product_reindex = .FALSE.\n END IF\n ! Product can not be made dense; however, A & B may still be made\n ! dense unless previously determined otherwise.\n IF (product_reindex .OR. keep_sparsity) THEN\n use_dense_mult = .FALSE.\n END IF\n !\n ! The thread distribution must reflect the current (possibly\n ! dense) distribution\n thread_dist_force = .FALSE.\n IF (.NOT. dbcsr_distribution_has_threads(matrix_c%dist)) THEN\n release_tdist = .TRUE.\n CALL dbcsr_distribution_make_threads(matrix_c%dist)\n ELSE\n release_tdist = .FALSE.\n ! Make sure matrix_c thread dist == matrix_left thread dist\n ! This is currently a workaround\n IF (dbcsr_distribution_has_threads(matrix_left%dist)) THEN\n matrix_c_thread_dist = matrix_c%dist%d%thread_dist\n matrix_c%dist%d%thread_dist = matrix_left%dist%d%thread_dist\n CALL array_hold(matrix_left%dist%d%thread_dist)\n thread_dist_force = .TRUE.\n END IF\n END IF\n !\n ! Compute number of images (rows and columns)\n nimages_left_rows = dbcsr_mp_nprows(dbcsr_distribution_mp(matrix_left%dist))\n nimages_match = dbcsr_distribution_get_num_images_1d( &\n dbcsr_nfullcols_total(matrix_left), &\n dbcsr_nblkcols_total(matrix_left), &\n dbcsr_mp_nprows(dbcsr_distribution_mp(matrix_left%dist)), &\n dbcsr_mp_npcols(dbcsr_distribution_mp(matrix_left%dist)))\n nimages_right_cols = dbcsr_mp_npcols(dbcsr_distribution_mp(matrix_right%dist))\n !\n ! Create imaged distributions for the multiply.\n CALL dbcsr_create_image_dist(rdist_right, matrix_right%dist, &\n match_row_nbins=dbcsr_mp_npcols(dbcsr_distribution_mp(matrix_left%dist)), &\n match_col_nbins=npcols, &\n match_col_pdist=dbcsr_distribution_col_dist(matrix_c%dist), &\n nimages_rows=nimages_match, &\n nimages_cols=nimages_right_cols)\n !\n CALL dbcsr_create_image_dist(rdist_left, matrix_left%dist, &\n match_row_pdist=dbcsr_distribution_row_dist(matrix_c%dist), &\n match_row_nbins=nprows, &\n match_col_pdist=dbcsr_distribution_row_dist(rdist_right%i%main), &\n match_col_idist=array_data(rdist_right%i%row_image), &\n match_col_nbins=dbcsr_mp_nprows(dbcsr_distribution_mp(matrix_right%dist)), &\n nimages_rows=nimages_left_rows, &\n nimages_cols=nimages_match)\n !\n IF (ab_dense) THEN\n CALL dbcsr_make_dists_dense(dbcsr_distribution(matrix_c), &\n rdist_left, rdist_right, dense_product_distribution, &\n dense_rdist_left, dense_rdist_right,.NOT. use_dense_mult, &\n m_map, k_vmap, n_map, matrix_c%row_blk_size)\n CALL make_sizes_dense(matrix_c%row_blk_size, m_map, &\n dbcsr_distribution_nrows(dense_product_distribution), &\n dense_row_sizes)\n CALL make_sizes_dense(matrix_c%col_blk_size, n_map, &\n dbcsr_distribution_ncols(dense_product_distribution), &\n dense_col_sizes)\n CALL make_sizes_dense(matrix_right%row_blk_size, k_vmap, &\n dbcsr_distribution_nrows(dense_rdist_right%i%main), &\n dense_k_sizes)\n END IF\n !\n IF (use_dense_mult .AND. .NOT. ab_dense) &\n DBCSR_ABORT(\"Wrong logic when making dense matrices.\")\n IF (use_dense_mult) THEN\n old_product_row_blk_offsets = matrix_c%row_blk_offset\n old_product_col_blk_offsets = matrix_c%col_blk_offset\n old_product_row_blk_sizes = matrix_c%row_blk_size\n old_product_col_blk_sizes = matrix_c%col_blk_size\n CALL array_hold(old_product_row_blk_offsets)\n CALL array_hold(old_product_col_blk_offsets)\n CALL array_hold(old_product_row_blk_sizes)\n CALL array_hold(old_product_col_blk_sizes)\n old_product_distribution = dbcsr_distribution(matrix_c)\n CALL dbcsr_distribution_hold(old_product_distribution)\n product_matrix = dbcsr_type()\n CALL dbcsr_make_dense(matrix_c, product_matrix, &\n dense_product_distribution, &\n dense_row_sizes, dense_col_sizes, &\n m_map, n_map)\n ELSE\n product_matrix = dbcsr_type()\n CALL dbcsr_copy(product_matrix, matrix_c, shallow_data=.TRUE.)\n END IF\n IF (ab_dense) THEN\n CALL dbcsr_distribution_release(dense_product_distribution)\n END IF\n !\n ! This is needed to build the hash tables because they are\n ! locally indexed.\n CALL dbcsr_reset_locals(product_matrix)\n !\n IF (debug_mod) THEN\n WRITE (*, *) routineN//\" Matrices \", dbcsr_get_matrix_type(matrix_a), &\n dbcsr_get_matrix_type(matrix_b), dbcsr_get_matrix_type(matrix_c)\n WRITE (*, *) routineN//\" Matrices \", transa_l, transb_l, \"keep\", keep_product_data\n END IF\n IF (keep_product_data) THEN\n IF (product_reindex) THEN\n IF (debug_mod) WRITE (*, *) routineN//\" Making canonical index\"\n CALL dbcsr_make_index_canonical(product_matrix)\n END IF\n IF (ASSOCIATED(product_matrix%wms)) &\n DBCSR_ABORT(\"Product matrix should be finalized!\")\n CALL dbcsr_make_untransposed_blocks(product_matrix)\n!$OMP PARALLEL &\n!$OMP DEFAULT (NONE) SHARED (product_matrix)\n ! For the multiply logic to work correctly, existing data must\n ! be added only after the index has been transformed into the\n ! canonical form.\n CALL dbcsr_add_wm_from_matrix(product_matrix)\n!$OMP END PARALLEL\n ELSE\n!$OMP PARALLEL DEFAULT(NONE) PRIVATE(ithread) &\n!$OMP SHARED(product_matrix, memtype_product_wm)\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n CALL dbcsr_work_create(product_matrix, work_mutable=.FALSE., &\n memory_type=memtype_product_wm(ithread)%p)\n!$OMP END PARALLEL\n END IF\n !\n IF (dbcsr_cfg%use_mpi_rma%val) THEN\n ! Check for previous multiplication completeness\n IF (request_sync_mult .NE. mp_request_null) THEN\n CALL timeset(routineN//\"_sync_mult\", handle2)\n CALL mp_wait(request_sync_mult)\n CALL timestop(handle2)\n request_sync_mult = mp_request_null\n END IF\n !\n ! Left buffer images\n CALL dbcsr_make_buffers(matrix_left, rdist_left, .TRUE., &\n f_row, l_row, f_k, l_k, &\n PRESENT(filter_eps))\n !\n ! Right buffer images\n CALL dbcsr_make_buffers(matrix_right, rdist_right, .FALSE., &\n f_k, l_k, f_col, l_col, &\n PRESENT(filter_eps), &\n alpha)\n ELSE\n product_matrix%nblks = 0\n product_matrix%nze = 0\n product_matrix%row_p(:) = 0\n CALL dbcsr_data_set_size_referenced(product_matrix%data_area, 0)\n product_matrix%valid = .FALSE.\n !\n ! Right images\n CALL make_m2s(matrix_right, m2s_right, rdist_right, dense_rdist_right, &\n use_dense_mult, ab_dense, \"R\", &\n f_k, l_k, f_row, l_row, f_col, l_col, &\n dense_k_sizes, dense_col_sizes, &\n k_vmap, m_map, n_map, &\n alpha)\n !\n ! Left images\n CALL make_m2s(matrix_left, m2s_left, rdist_left, dense_rdist_left, &\n use_dense_mult, ab_dense, \"L\", &\n f_k, l_k, f_row, l_row, f_col, l_col, &\n dense_row_sizes, dense_k_sizes, &\n k_vmap, m_map, n_map)\n END IF\n !\n IF (ab_dense) THEN\n CALL array_release(k_vmap)\n CALL array_release(dense_row_sizes)\n CALL array_release(dense_col_sizes)\n CALL array_release(dense_k_sizes)\n END IF\n !\n ! The limits were already used. Reset them.\n f_row = 0; l_row = 0\n f_col = 0; l_col = 0\n f_k = 0; l_k = 0\n !\n my_flop = 0\n IF (dbcsr_cfg%use_mpi_rma%val) THEN\n CALL multiply_3D(rdist_left, rdist_right, &\n matrix_left, matrix_right, product_matrix, &\n retain_sparsity=retain_sparsity, &\n filter_eps=filter_eps, &\n flop=my_flop, keep_product_data=keep_product_data)\n ELSE\n data_type = dbcsr_get_data_type(product_matrix)\n IF (data_type .NE. dbcsr_type_real_8 .OR. (.NOT. dbcsr_cfg%use_acc_g2g%val)) THEN\n ! If G2G is enabled, norms have to be calculated on the GPU.\n ! Since the norms kernel expects only real_8 type data, we\n ! avoid using G2G for all other data types\n CALL multiply_cannon(m2s_left, m2s_right, product_matrix, &\n retain_sparsity=retain_sparsity, &\n filter_eps=filter_eps, &\n flop=my_flop, keep_product_data=keep_product_data)\n ELSE\n CALL multiply_cannon_g2g(m2s_left, m2s_right, product_matrix, &\n retain_sparsity=retain_sparsity, &\n filter_eps=filter_eps, &\n flop=my_flop, keep_product_data=keep_product_data)\n END IF\n CALL dbcsr_finalize(product_matrix, reshuffle=PRESENT(filter_eps) .AND. .NOT. keep_sparsity)\n END IF\n !\n ! RMA implementation algorithm has to synchronize at the end of each multiplication\n comm = dbcsr_mp_group(dbcsr_distribution_mp(dbcsr_distribution(matrix_c)))\n IF (PRESENT(flop)) THEN\n ! return the average number of flops per MPI rank.\n ! Variance (which is fairly large) could be computed as well.\n CALL timeset(routineN//\"_mpsum_flop\", handle2)\n numnodes = dbcsr_mp_numnodes(dbcsr_distribution_mp(dbcsr_distribution(matrix_c)))\n CALL mp_sum(my_flop, comm)\n IF (PRESENT(flop)) THEN\n flop = (my_flop + numnodes - 1)/numnodes\n END IF\n CALL timestop(handle2)\n ELSEIF (dbcsr_cfg%use_mpi_rma%val) THEN\n CALL mp_isync(comm, request_sync_mult)\n END IF\n !\n IF (release_tdist) THEN\n CALL dbcsr_distribution_no_threads(product_matrix%dist)\n ELSEIF (thread_dist_force) THEN\n ! Restore matrix_c thread-dist\n matrix_c%dist%d%thread_dist = matrix_c_thread_dist\n CALL array_release(matrix_left%dist%d%thread_dist)\n END IF\n IF (transpose_left) CALL dbcsr_release(matrix_left)\n IF (transpose_right) CALL dbcsr_release(matrix_right)\n !\n CALL dbcsr_release_locals(product_matrix)\n ! The index of the product matrix is reset to the CP2K form if it\n ! was previously set to the canonical form.\n IF (product_reindex) THEN\n IF (debug_mod) WRITE (*, *) routineN//\" Making CP2K index\"\n CALL dbcsr_make_index_canonical(product_matrix, cp2k=.TRUE.)\n END IF\n IF (use_dense_mult) THEN\n CALL dbcsr_release(matrix_c)\n matrix_c = dbcsr_type()\n CALL dbcsr_make_undense(product_matrix, matrix_c, &\n old_product_distribution, &\n old_product_row_blk_offsets, old_product_col_blk_offsets, &\n old_product_row_blk_sizes, old_product_col_blk_sizes, &\n m_map, n_map)\n CALL dbcsr_release(product_matrix)\n CALL array_release(old_product_row_blk_offsets)\n CALL array_release(old_product_col_blk_offsets)\n CALL array_release(old_product_row_blk_sizes)\n CALL array_release(old_product_col_blk_sizes)\n CALL dbcsr_distribution_release(old_product_distribution)\n ELSE\n CALL dbcsr_release(matrix_c)\n matrix_c = dbcsr_type()\n CALL dbcsr_copy(matrix_c, product_matrix, shallow_data=.TRUE.)\n CALL dbcsr_release(product_matrix)\n END IF\n !\n IF (.NOT. dbcsr_cfg%use_mpi_rma%val) THEN\n CALL dbcsr_destroy_array(m2s_left)\n DEALLOCATE (m2s_left)\n CALL dbcsr_destroy_array(m2s_right)\n DEALLOCATE (m2s_right)\n END IF\n !\n CALL dbcsr_image_dist_release(rdist_left)\n CALL dbcsr_image_dist_release(rdist_right)\n IF (ab_dense) THEN\n CALL array_release(m_map)\n CALL array_release(n_map)\n END IF\n !\n ! To support the canonical multiply (all non-transposed blocks),\n ! blocks may have to be transposed according to the CP2K\n ! triangular index.\n CALL dbcsr_make_untransposed_blocks(matrix_c)\n !\n IF (debug_mod .OR. careful_mod) THEN\n IF (debug_mod) &\n WRITE (*, *) routineN//\" Use dense mult, symm\", &\n use_dense_mult, ab_dense, dbcsr_has_symmetry(matrix_c)\n CALL dbcsr_verify_matrix(matrix_c)\n IF (debug_mod) THEN\n cs = dbcsr_checksum(matrix_c)\n WRITE (*, *) routineN//\" Multiplication\", &\n num_multiplications, \" Product checksum\", cs\n END IF\n END IF\n\n ! This tends to trigger only when all of these conditions are fulfilled:\n ! - transa==\"T\"\n ! - matrix_c contains already blocks and beta is not zero\n ! - GPU-acceleration is enabled\n ! - multiple OpenMP threads are used\n IF (INT(matrix_c%nblks, KIND=int_8) > &\n INT(SIZE(array_data(matrix_c%row_blk_size)), KIND=int_8)* &\n INT(SIZE(array_data(matrix_c%col_blk_size)), KIND=int_8)) &\n DBCSR_ABORT(\"Bug: Matrix contains too many blocks\")\n output_unit = default_output_unit\n num_multiplications = num_multiplications + 1\n CALL timestop(handle)\n END SUBROUTINE dbcsr_multiply_generic\n\n SUBROUTINE check_openmpi_rma()\n ! Check if RMA is used with OpenMPI, if so disabled it\n ! (OpenMPI has several bugs with RMA and it does not\n ! give any performance benefit)\n CHARACTER(LEN=mp_max_library_version_string) :: mpi_library_version\n INTEGER :: ipos, resultlen\n\n IF (.NOT. dbcsr_cfg%use_mpi_rma%val) &\n RETURN\n\n#if defined(__DBCSR_OPENMPI_RMA)\n RETURN\n#endif\n\n CALL mp_get_library_version(mpi_library_version, resultlen)\n ! ignore failure to obtain the library version string\n IF (resultlen .EQ. 0) &\n RETURN\n\n ! check if Open MPI\n ipos = INDEX(mpi_library_version(1:resultlen), \"Open MPI v\")\n IF (ipos .EQ. 0) &\n RETURN\n\n CALL dbcsr_warn(__LOCATION__, \"You are using OpenMPI: --- \"// &\n mpi_library_version(1:resultlen)// &\n \" --- We disable RMA to prevent errors. \"// &\n \"Please install MPICH version or use __DBCSR_OPENMPI_RMA to force the \"// &\n \"execution. \")\n CALL dbcsr_set_config(use_mpi_rma=.FALSE.)\n\n END SUBROUTINE check_openmpi_rma\n\nEND MODULE dbcsr_mm\n" }, { "path": "src/mm/dbcsr_mm_3d.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_3d\n !! 3D matrix-matrix multiplication.\n !! Modification history:\n !! - 2016-08 Code organization (Alfio Lazzaro).\n !! - 2017-02 Remove clusters (Alfio Lazzaro).\n\n USE dbcsr_acc_event, ONLY: acc_event_create, &\n acc_event_destroy, &\n acc_event_synchronize\n USE dbcsr_acc_device, ONLY: acc_device_synchronize\n USE dbcsr_array_types, ONLY: array_data, &\n array_get, &\n array_size\n USE dbcsr_block_operations, ONLY: dbcsr_block_conjg, &\n dbcsr_block_copy_aa, &\n dbcsr_block_real_neg, &\n dbcsr_block_scale, &\n dbcsr_block_transpose_aa, &\n dbcsr_data_clear, &\n dbcsr_data_set\n USE dbcsr_config, ONLY: dbcsr_cfg, &\n use_acc\n USE dbcsr_data_methods, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_ensure_size, dbcsr_data_exists, &\n dbcsr_data_get_memory_type, dbcsr_data_get_size, dbcsr_data_get_size_referenced, &\n dbcsr_data_get_type, dbcsr_data_host2dev, dbcsr_data_init, dbcsr_data_new, &\n dbcsr_data_release, dbcsr_data_set_pointer, dbcsr_data_set_size_referenced, &\n dbcsr_data_valid, dbcsr_scalar_are_equal, dbcsr_scalar_negative, dbcsr_scalar_one, &\n dbcsr_type_1d_to_2d\n USE dbcsr_data_types, ONLY: dbcsr_datatype_sizeof\n USE dbcsr_dist_methods, ONLY: &\n dbcsr_distribution_col_dist, dbcsr_distribution_has_threads, &\n dbcsr_distribution_local_cols, dbcsr_distribution_local_rows, &\n dbcsr_distribution_max_col_dist, dbcsr_distribution_max_row_dist, dbcsr_distribution_mp, &\n dbcsr_distribution_row_dist, dbcsr_distribution_thread_dist\n USE dbcsr_dist_util, ONLY: find_block_of_element\n USE dbcsr_index_operations, ONLY: dbcsr_repoint_index\n USE dbcsr_iterator_operations, ONLY: dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block, &\n dbcsr_iterator_start, &\n dbcsr_iterator_stop\n USE dbcsr_kinds, ONLY: int_8, &\n real_8, &\n sp\n USE dbcsr_machine, ONLY: m_memory\n USE dbcsr_mem_methods, ONLY: dbcsr_mempool_limit_capacity\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_offsets, dbcsr_col_block_sizes, dbcsr_distribution, dbcsr_get_data_type, &\n dbcsr_has_symmetry, dbcsr_max_col_size, dbcsr_max_row_size, dbcsr_nblkcols_local, &\n dbcsr_nblkcols_total, dbcsr_nblkrows_local, dbcsr_nblkrows_total, dbcsr_nfullcols_local, &\n dbcsr_nfullcols_total, dbcsr_nfullrows_local, dbcsr_nfullrows_total, dbcsr_release, &\n dbcsr_row_block_offsets, dbcsr_row_block_sizes, dbcsr_valid_index\n USE dbcsr_mm_common, ONLY: &\n acc_transpose_blocks, calculate_norms, count_mpi_statistics, dbcsr_mm_multrec_type_p, &\n dbcsr_mpi_statistics, enumerate_blk_sizes, local_filter, max_memory, memtype_abpanel_1, &\n memtype_abpanel_2, memtype_mpi_buffer, memtype_mpi_product, memtype_product_wm, &\n memtype_trsbuffer_1, memtype_trsbuffer_2, product_matrix_size_guess, rec_sort_index, &\n setup_buffer_matrix\n USE dbcsr_mm_dist_operations, ONLY: dbcsr_reset_locals, &\n dbcsr_reset_vlocals, &\n image_calculator\n USE dbcsr_mm_multrec, ONLY: dbcsr_mm_multrec_dev2host_init, &\n dbcsr_mm_multrec_finalize, &\n dbcsr_mm_multrec_get_nblks, &\n dbcsr_mm_multrec_get_nze, &\n dbcsr_mm_multrec_init, &\n dbcsr_mm_multrec_multiply, &\n dbcsr_mm_multrec_red3D\n USE dbcsr_mp_methods, ONLY: &\n dbcsr_mp_grid_setup, dbcsr_mp_group, dbcsr_mp_has_subgroups, dbcsr_mp_my_col_group, &\n dbcsr_mp_my_row_group, dbcsr_mp_mynode, dbcsr_mp_mypcol, dbcsr_mp_myprow, dbcsr_mp_npcols, &\n dbcsr_mp_nprows, dbcsr_mp_numnodes, dbcsr_mp_pgrid\n USE dbcsr_mp_operations, ONLY: dbcsr_isendrecv_any, &\n dbcsr_rget_any, &\n dbcsr_win_create_any, &\n hybrid_alltoall_any, &\n hybrid_alltoall_i1\n USE dbcsr_mpiwrap, ONLY: &\n mp_allgather, mp_alltoall, mp_comm_free, mp_comm_null, mp_comm_split_direct, &\n mp_iallgather, mp_isendrecv, mp_isum, mp_request_null, mp_rget, mp_wait, mp_waitall, &\n mp_win_create, mp_win_free, mp_win_lock_all, mp_win_unlock_all, mp_environ, &\n mp_comm_type, mp_request_type, mp_win_type\n USE dbcsr_ptr_util, ONLY: ensure_array_size, &\n memory_deallocate\n USE dbcsr_types, ONLY: &\n dbcsr_2d_array_obj, dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_imagedistribution_obj, &\n dbcsr_iterator, dbcsr_memtype_type, dbcsr_mp_obj, dbcsr_num_slots, dbcsr_scalar_type, &\n dbcsr_slot_blk_p, dbcsr_slot_col_i, dbcsr_slot_coo_l, dbcsr_slot_dense, &\n dbcsr_slot_home_pcol, dbcsr_slot_home_prow, dbcsr_slot_home_vpcol, dbcsr_slot_home_vprow, &\n dbcsr_slot_nblkrows_total, dbcsr_slot_nblks, dbcsr_slot_nfullcols_local, dbcsr_slot_nze, &\n dbcsr_slot_row_p, dbcsr_slot_size, dbcsr_slot_thr_c, dbcsr_slot_type, dbcsr_type, &\n dbcsr_type_complex_4, dbcsr_type_complex_8, dbcsr_type_int_4, dbcsr_type_no_symmetry, &\n dbcsr_type_real_4, dbcsr_type_real_8\n USE dbcsr_work_operations, ONLY: dbcsr_add_wm_from_matrix, &\n dbcsr_create, &\n dbcsr_finalize, &\n dbcsr_work_create, &\n dbcsr_work_destroy\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads, &\n!$ omp_set_lock, omp_unset_lock, omp_init_lock, &\n!$ omp_lock_kind, omp_destroy_lock\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_3d'\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n TYPE dbcsr_buffer\n TYPE(dbcsr_data_obj) :: DATA = dbcsr_data_obj(), &\n data_before_resize = dbcsr_data_obj(), &\n trs_stackbuf = dbcsr_data_obj()\n INTEGER :: vprow = -1, vpcol = -1\n INTEGER :: myproc = -1\n TYPE(mp_comm_type) :: grp = mp_comm_null, & ! Global communicator\n subgrp = mp_comm_null ! Communicator for A and B\n TYPE(mp_win_type) :: data_win = mp_win_type(), meta_win = mp_win_type()\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: meta => Null(), &\n meta_before_resize => Null(), &\n meta_red3D => Null()\n TYPE(mp_request_type), DIMENSION(2) :: get_requests = mp_request_null\n INTEGER :: meta_size = -1\n INTEGER :: num_layers_3D = 1\n INTEGER :: coord3D = 1\n TYPE(dbcsr_type) :: matrix = dbcsr_type()\n LOGICAL :: is_valid = .FALSE., &\n is_comm = .FALSE., &\n has_rma_win = .FALSE.\n END TYPE dbcsr_buffer\n\n TYPE dbcsr_buffers\n TYPE(dbcsr_buffer) :: left = dbcsr_buffer(), right = dbcsr_buffer()\n END TYPE dbcsr_buffers\n\n TYPE mn_local_sizes\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: sizes => Null()\n END TYPE mn_local_sizes\n\n TYPE dbcsr_layers_3D_C_reduction\n TYPE(mp_comm_type) :: grp = mp_comm_null, &\n grp3D = mp_comm_null, &\n rowgrp3D = mp_comm_null\n INTEGER :: num_layers_3D = 1, &\n max_num_layers_3D = 1, &\n side3D = HUGE(1)\n ! Use a buffer per each thread\n TYPE(dbcsr_data_obj), &\n DIMENSION(:), ALLOCATABLE :: data_red3D\n INTEGER :: data_type = -1\n END TYPE dbcsr_layers_3D_C_reduction\n\n ! Buffers\n TYPE(dbcsr_buffers), TARGET, SAVE :: buffers_win, &\n buffers_1, buffers_2\n\n INTEGER, PARAMETER, PRIVATE :: idata = 1, &\n imeta = 2, &\n ilocal_proc = 1\n\n TYPE(dbcsr_layers_3D_C_reduction), SAVE :: layers_3D_C_reduction\n\n LOGICAL, DIMENSION(2), TARGET, SAVE, PRIVATE :: do_win_create_left, &\n do_win_create_right\n\n INTEGER, ALLOCATABLE, DIMENSION(:), PRIVATE :: left_total_row_counts\n\n INTEGER, ALLOCATABLE, DIMENSION(:, :), TARGET, PRIVATE :: left_local_images_size, &\n right_local_images_size\n INTEGER, DIMENSION(:, :, :, :), POINTER, CONTIGUOUS, PRIVATE :: left_images_size => Null(), &\n right_images_size => Null()\n\n INTEGER, ALLOCATABLE, DIMENSION(:), TARGET, PRIVATE :: g2l_map_cols, g2l_map_rows\n\n TYPE(mp_request_type), PRIVATE :: request_count_rows\n TYPE(mp_request_type), DIMENSION(2), PRIVATE :: requests\n TYPE(mp_request_type), DIMENSION(2), PRIVATE :: requests_win_create\n\n TYPE(mp_request_type) :: request_sync_mult = mp_request_null\n\n ! Buffers used in make_buffers\n TYPE(dbcsr_data_obj), TARGET, SAVE :: make_buffers_data_recv, make_buffers_data_send\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: make_buffers_meta_recv => Null(), &\n make_buffers_meta_send => Null()\n\n PUBLIC :: multiply_3D\n PUBLIC :: release_layers_3d_C_reduction, buffers_release\n PUBLIC :: dbcsr_make_buffers, make_layers_3d_C_reduction\n PUBLIC :: request_sync_mult\n PUBLIC :: get_max_layers_3D\n\nCONTAINS\n\n SUBROUTINE dbcsr_make_buffers(matrix, imgdist, is_left, &\n !! Prepare orig images for MPI windows\n f_row, l_row, f_col, l_col, &\n otf_filtering, alpha)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n TYPE(dbcsr_imagedistribution_obj), INTENT(IN) :: imgdist\n LOGICAL, INTENT(IN) :: is_left\n INTEGER, INTENT(IN) :: f_row, l_row, f_col, l_col\n LOGICAL, INTENT(IN) :: otf_filtering\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: alpha\n\n LOGICAL :: do_scale\n\n do_scale = .FALSE.\n IF (PRESENT(alpha)) THEN\n IF (.NOT. dbcsr_scalar_are_equal(alpha, dbcsr_scalar_one(alpha%data_type))) THEN\n do_scale = .TRUE.\n END IF\n END IF\n !\n IF (do_scale) THEN\n CALL make_buffers(matrix, imgdist, is_left, &\n f_row, l_row, f_col, l_col, &\n otf_filtering, alpha)\n ELSE\n CALL make_buffers(matrix, imgdist, is_left, &\n f_row, l_row, f_col, l_col, &\n otf_filtering)\n END IF\n END SUBROUTINE dbcsr_make_buffers\n\n SUBROUTINE make_buffers(matrix, imgdist, is_left, &\n !! Prepare orig images for MPI windows\n f_row, l_row, f_col, l_col, &\n otf_filtering, scale_value)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n TYPE(dbcsr_imagedistribution_obj), INTENT(IN) :: imgdist\n LOGICAL, INTENT(IN) :: is_left\n INTEGER, INTENT(IN) :: f_row, l_row, f_col, l_col\n LOGICAL, INTENT(IN) :: otf_filtering\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale_value\n\n CHARACTER(len=*), PARAMETER :: routineN = 'make_buffers'\n INTEGER :: blk, blk_p, bp, col, col_img, col_size, data_type, dst_proc, f_col_f, f_row_f, &\n handle, handle2, irequests, it, ithread, l_col_l, l_row_l, mynode, myt, &\n nblkcols_local, nblkrows_local, ncols_images, nimages, nprocs, nprocs_total, &\n nrows_images, nsymmetries, nthreads, nze, pcol, prow, row, row_img, row_size, size_index, &\n stored_col, stored_row, symmetry_i, tr_col_size, tr_row_size\n INTEGER, ALLOCATABLE, DIMENSION(:) :: img_nblks_cols, img_nblks_rows\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: local_images_displ, recv_displ_proc, &\n recv_size_proc, send_displ_proc, &\n send_size_proc\n INTEGER, ALLOCATABLE, DIMENSION(:, :, :) :: offset_data, offset_threads\n INTEGER, ALLOCATABLE, DIMENSION(:, :, :, :) :: recv_displs, recv_sizes, send_displs, &\n send_sizes\n INTEGER, DIMENSION(2) :: block_col_bounds, block_row_bounds\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist, col_img_dist, local_cols, local_g2l_map_cols, &\n local_g2l_map_rows, local_rows, meta_buffer_p, &\n row_dist, row_img_dist, threads_dist\n INTEGER, DIMENSION(:, :), POINTER, CONTIGUOUS :: blacs2mpi, local_images_size\n INTEGER, DIMENSION(idata:imeta) :: my_size_recv, my_size_send\n INTEGER, POINTER :: coli, rowi\n INTEGER, TARGET :: mi, ui\n LOGICAL :: do_crop, do_part_crop_col, do_part_crop_f_col, do_part_crop_f_row, &\n do_part_crop_l_col, do_part_crop_l_row, do_part_crop_row, do_symmetry, tr\n LOGICAL, DIMENSION(:), POINTER, CONTIGUOUS :: do_win_create\n TYPE(dbcsr_buffer), POINTER :: buffer\n TYPE(dbcsr_data_obj) :: data_block\n TYPE(dbcsr_data_obj), POINTER :: data_buffer_p\n TYPE(dbcsr_distribution_obj) :: set_dist\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_mp_obj) :: mp_obj\n TYPE(dbcsr_scalar_type) :: scale_neg_one\n TYPE(dbcsr_type) :: sm\n TYPE(mp_comm_type) :: grp\n\n!$ INTEGER(kind=omp_lock_kind), ALLOCATABLE, DIMENSION(:) :: locks\n\n CALL timeset(routineN, handle)\n ! Sync with previous multiplication\n IF (request_sync_mult .NE. mp_request_null) &\n DBCSR_ABORT(\"Multiplications are not in sync!\")\n !\n ! Take input values and check validity\n IF (.NOT. dbcsr_valid_index(matrix)) &\n DBCSR_ABORT(\"Matrix not initialized.\")\n sm = matrix\n data_type = sm%data_type\n IF (data_type .NE. dbcsr_type_real_8 .AND. &\n data_type .NE. dbcsr_type_real_4 .AND. &\n data_type .NE. dbcsr_type_complex_8 .AND. &\n data_type .NE. dbcsr_type_complex_4) &\n DBCSR_ABORT(\"Invalid data type.\")\n scale_neg_one = dbcsr_scalar_negative(dbcsr_scalar_one(data_type))\n set_dist = imgdist%i%main\n row_dist => dbcsr_distribution_row_dist(set_dist)\n col_dist => dbcsr_distribution_col_dist(set_dist)\n local_rows => dbcsr_distribution_local_rows(set_dist)\n local_cols => dbcsr_distribution_local_cols(set_dist)\n nblkrows_local = SIZE(local_rows)\n nblkcols_local = SIZE(local_cols)\n IF (sm%symmetry) THEN\n IF (SIZE(row_dist) .NE. SIZE(col_dist)) &\n DBCSR_WARN('Unequal row and column distributions for symmetric matrix.')\n END IF\n nrows_images = imgdist%i%row_decimation\n row_img_dist => array_data(imgdist%i%row_image)\n ncols_images = imgdist%i%col_decimation\n col_img_dist => array_data(imgdist%i%col_image)\n mp_obj = dbcsr_distribution_mp(imgdist%i%main)\n CALL dbcsr_mp_grid_setup(mp_obj)\n nprocs_total = dbcsr_mp_numnodes(mp_obj)\n mynode = dbcsr_mp_mynode(mp_obj)\n grp = dbcsr_mp_group(mp_obj)\n blacs2mpi => dbcsr_mp_pgrid(mp_obj)\n IF (dbcsr_distribution_max_row_dist(set_dist) .GT. UBOUND(blacs2mpi, 1)) &\n DBCSR_ABORT(\"Row distribution references unexistent processor rows\")\n IF (dbcsr_distribution_max_col_dist(set_dist) .GT. UBOUND(blacs2mpi, 2)) &\n DBCSR_ABORT(\"Col distribution references unexistent processor cols\")\n ! Check threads configuration\n NULLIFY (threads_dist)\n!$ IF (.NOT. dbcsr_distribution_has_threads(dbcsr_distribution(matrix))) &\n!$ DBCSR_ABORT(\"Thread distribution not defined\")\n!$ threads_dist => array_data(dbcsr_distribution_thread_dist(dbcsr_distribution(matrix)))\n IF (is_left) THEN\n IF (nrows_images .GT. 1) &\n DBCSR_ABORT(\"Row nimages for left matrix is not 1!\")\n ELSE\n IF (ncols_images .GT. 1) &\n DBCSR_ABORT(\"Col nimages for right matrix is not 1!\")\n END IF\n !\n ! Crop matrix\n do_crop = .FALSE.\n do_part_crop_row = .FALSE.\n do_part_crop_col = .FALSE.\n do_part_crop_f_row = .FALSE.\n do_part_crop_l_row = .FALSE.\n do_part_crop_f_col = .FALSE.\n do_part_crop_l_col = .FALSE.\n ! Set no limits\n IF (ANY((/f_row, l_row, f_col, l_col/) .NE. 0)) THEN\n IF (f_row .LT. 0) &\n DBCSR_ABORT(\"Invalid first row bound.\")\n IF (l_row .GT. dbcsr_nfullrows_total(matrix)) &\n DBCSR_ABORT(\"Invalid last row bound.\")\n IF (f_col .LT. 0) &\n DBCSR_ABORT(\"Invalid first column bound.\")\n IF (l_col .GT. dbcsr_nfullcols_total(matrix)) &\n DBCSR_ABORT(\"Invalid last column bound.\")\n !\n do_crop = .TRUE.\n !\n ! Convert bounds to block addressing\n IF (f_row .EQ. 0) THEN\n block_row_bounds(1) = 1\n ELSE\n CALL find_block_of_element(f_row, block_row_bounds(1), &\n dbcsr_nblkrows_total(matrix), &\n dbcsr_row_block_offsets(matrix), &\n hint=0)\n do_part_crop_f_row = array_get(dbcsr_row_block_offsets(matrix), block_row_bounds(1)) .NE. f_row\n IF (do_part_crop_f_row) THEN\n ! Block offset of last cleared row\n f_row_f = f_row - array_get(dbcsr_row_block_offsets(matrix), block_row_bounds(1))\n END IF\n END IF\n !\n IF (l_row .EQ. 0) THEN\n block_row_bounds(2) = dbcsr_nblkrows_total(matrix)\n ELSE\n CALL find_block_of_element(l_row, block_row_bounds(2), &\n dbcsr_nblkrows_total(matrix), &\n dbcsr_row_block_offsets(matrix), &\n hint=0)\n do_part_crop_l_row = (array_get(dbcsr_row_block_offsets(matrix), block_row_bounds(2) + 1) - 1) .NE. l_row\n IF (do_part_crop_l_row) THEN\n ! Block offset of first cleared row\n l_row_l = 2 + l_row - array_get(dbcsr_row_block_offsets(matrix), block_row_bounds(2))\n END IF\n END IF\n do_part_crop_row = do_part_crop_f_row .OR. do_part_crop_l_row\n !\n IF (f_col .EQ. 0) THEN\n block_col_bounds(1) = 1\n ELSE\n CALL find_block_of_element(f_col, block_col_bounds(1), &\n dbcsr_nblkcols_total(matrix), &\n dbcsr_col_block_offsets(matrix), &\n hint=0)\n do_part_crop_f_col = array_get(dbcsr_col_block_offsets(matrix), block_col_bounds(1)) .NE. f_col\n IF (do_part_crop_f_col) THEN\n ! Block offset of last cleared col\n f_col_f = f_col - array_get(dbcsr_col_block_offsets(matrix), block_col_bounds(1))\n END IF\n END IF\n !\n IF (l_col .EQ. 0) THEN\n block_col_bounds(2) = dbcsr_nblkcols_total(matrix)\n ELSE\n CALL find_block_of_element(l_col, block_col_bounds(2), &\n dbcsr_nblkcols_total(matrix), &\n dbcsr_col_block_offsets(matrix), &\n hint=0)\n do_part_crop_l_col = (array_get(dbcsr_col_block_offsets(matrix), block_col_bounds(2) + 1) - 1) .NE. l_col\n IF (do_part_crop_l_col) THEN\n ! Block offset of first cleared col\n l_col_l = 2 + l_col - array_get(dbcsr_col_block_offsets(matrix), block_col_bounds(2))\n END IF\n END IF\n do_part_crop_col = do_part_crop_f_col .OR. do_part_crop_l_col\n END IF\n !\n IF (dbcsr_has_symmetry(matrix)) THEN\n nsymmetries = 2\n do_symmetry = .TRUE.\n ELSE\n nsymmetries = 1\n do_symmetry = .FALSE.\n END IF\n !\n IF (is_left) THEN\n nimages = ncols_images\n buffer => buffers_win%left\n nprocs = dbcsr_mp_npcols(mp_obj)\n ALLOCATE (left_images_size(idata:imeta, &\n nimages, &\n MAX(1, dbcsr_mp_nprows(mp_obj)/layers_3D_C_reduction%side3D), &\n 0:nprocs - 1))\n ALLOCATE (left_local_images_size(idata:imeta, nimages))\n local_images_size => left_local_images_size\n irequests = 1\n !\n ! Count the maximum possible multiplies per row for on-the-fly filtering\n IF (otf_filtering) THEN\n ALLOCATE (left_total_row_counts(nblkrows_local))\n left_total_row_counts = 0\n END IF\n do_win_create => do_win_create_left\n ELSE\n nimages = nrows_images\n buffer => buffers_win%right\n nprocs = dbcsr_mp_nprows(mp_obj)\n ALLOCATE (right_images_size(idata:imeta, &\n nimages, &\n MAX(1, dbcsr_mp_npcols(mp_obj)/layers_3D_C_reduction%side3D), &\n 0:nprocs - 1))\n ALLOCATE (right_local_images_size(idata:imeta, nimages))\n local_images_size => right_local_images_size\n irequests = 2\n do_win_create => do_win_create_right\n END IF\n !\n ! 3D communicator\n CALL make_layers_3D_AB(layers_3D_C_reduction%num_layers_3D, &\n layers_3D_C_reduction%side3D, &\n mp_obj, is_left, buffer)\n !\n ! Evaluate maps for global -> local indexing (g2l_map_rows, g2l_map_cols)\n ! Count the number of blocks per row/column (img_nblks_rows, img_nblks_cols)\n IF (is_left) THEN\n ALLOCATE (g2l_map_rows(sm%nblkrows_total))\n local_g2l_map_rows => g2l_map_rows\n ALLOCATE (local_g2l_map_cols(sm%nblkcols_total))\n ALLOCATE (img_nblks_rows(1), img_nblks_cols(nimages))\n ELSE\n ALLOCATE (g2l_map_cols(sm%nblkcols_total))\n local_g2l_map_cols => g2l_map_cols\n ALLOCATE (local_g2l_map_rows(sm%nblkrows_total))\n ALLOCATE (img_nblks_rows(nimages), img_nblks_cols(1))\n END IF\n !\n local_g2l_map_rows(:) = 0\n IF (nrows_images .EQ. 1) THEN\n img_nblks_rows(1) = nblkrows_local\n DO row = 1, nblkrows_local\n local_g2l_map_rows(local_rows(row)) = row\n END DO\n ELSE\n img_nblks_rows(:) = 0\n DO row = 1, nblkrows_local\n row_img = row_img_dist(local_rows(row))\n ui = MOD(row_img - 1, nrows_images) + 1\n img_nblks_rows(ui) = img_nblks_rows(ui) + 1\n local_g2l_map_rows(local_rows(row)) = img_nblks_rows(ui)\n END DO\n END IF\n !\n local_g2l_map_cols(:) = 0\n IF (ncols_images .EQ. 1) THEN\n img_nblks_cols(1) = nblkcols_local\n DO col = 1, nblkcols_local\n local_g2l_map_cols(local_cols(col)) = col\n END DO\n ELSE\n img_nblks_cols(:) = 0\n DO col = 1, nblkcols_local\n col_img = col_img_dist(local_cols(col))\n ui = MOD(col_img - 1, ncols_images) + 1\n img_nblks_cols(ui) = img_nblks_cols(ui) + 1\n local_g2l_map_cols(local_cols(col)) = img_nblks_cols(ui)\n END DO\n END IF\n !\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP PRIVATE (ithread,myt,iter,row,col,blk,row_size,col_size,&\n!$OMP stored_row,stored_col,blk_p,bp,tr,&\n!$OMP nze,symmetry_i,row_img,col_img,rowi,coli,&\n!$OMP tr_row_size,tr_col_size,prow,pcol,dst_proc,&\n!$OMP data_buffer_p,meta_buffer_p,&\n!$OMP mi,ui,it,data_block) &\n!$OMP SHARED (nthreads,send_sizes,offset_data,matrix,nsymmetries,do_symmetry,&\n!$OMP row_img_dist,col_img_dist,imgdist,row_dist,col_dist,&\n!$OMP is_left,my_size_send,my_size_recv,nimages,&\n!$OMP local_images_size,data_type,memtype_mpi_buffer,sm,&\n!$OMP img_nblks_cols,img_nblks_rows,mynode,offset_threads,&\n!$OMP local_g2l_map_cols,local_g2l_map_rows,recv_sizes,grp,make_buffers_meta_send,&\n!$OMP scale_value,scale_neg_one,make_buffers_data_send,make_buffers_data_recv,&\n!$OMP size_index,recv_displ_proc,recv_size_proc,send_size_proc,&\n!$OMP mp_obj,threads_dist,make_buffers_meta_recv,nrows_images,ncols_images,&\n!$OMP locks,blacs2mpi,send_displ_proc,recv_displs,send_displs,&\n!$OMP left_images_size,right_images_size,local_images_displ,requests,&\n!$OMP buffer,left_total_row_counts,otf_filtering,&\n!$OMP irequests,do_win_create,handle2,nprocs_total,&\n!$OMP do_crop,do_part_crop_row,do_part_crop_col,block_row_bounds,block_col_bounds,&\n!$OMP do_part_crop_f_row,do_part_crop_l_row,do_part_crop_f_col,do_part_crop_l_col,&\n!$OMP f_row_f,l_row_l,f_col_f,l_col_l,requests_win_create)\n ithread = 0\n!$ ithread = omp_get_thread_num()\n myt = ithread\n IF (is_left) THEN\n rowi => mi\n coli => ui\n ELSE\n rowi => ui\n coli => mi\n END IF\n!$OMP MASTER\n nthreads = 1\n!$ nthreads = omp_get_num_threads()\n ALLOCATE (send_sizes(idata:imeta, 0:nthreads - 1, &\n nimages, 0:nprocs_total - 1))\n send_sizes(:, :, :, :) = 0\n !\n size_index = 0\n!$ IF (is_left) THEN\n!$ size_index = nthreads + 1\n!$ END IF\n!$ IF (is_left .AND. do_symmetry) THEN\n!$ ALLOCATE (locks(0:nthreads - 1))\n!$ END IF\n!$OMP END MASTER\n!$OMP BARRIER\n!$ IF (is_left .AND. do_symmetry) THEN\n!$ call omp_init_lock(locks(ithread))\n!$ END IF\n !\n ! Take data and meta dimensions per each thread, image, proc\n CALL dbcsr_iterator_start(iter, matrix, shared=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, &\n row_size=row_size, col_size=col_size)\n nze = row_size*col_size\n IF (nze .EQ. 0) CYCLE\n DO symmetry_i = 1, nsymmetries\n IF (symmetry_i .EQ. 1) THEN\n stored_row = row; stored_col = col\n ELSE\n IF (row .EQ. col) CYCLE\n stored_row = col; stored_col = row\n END IF\n ! Apply cropping\n IF (do_crop) THEN\n IF (stored_row .LT. block_row_bounds(1)) CYCLE\n IF (stored_row .GT. block_row_bounds(2)) CYCLE\n IF (stored_col .LT. block_col_bounds(1)) CYCLE\n IF (stored_col .GT. block_col_bounds(2)) CYCLE\n END IF\n row_img = row_img_dist(stored_row)\n col_img = col_img_dist(stored_col)\n CALL image_calculator(imgdist, &\n prow=prow, pcol=pcol, &\n rowi=rowi, coli=coli, &\n myprow=row_dist(stored_row), myrowi=row_img, &\n mypcol=col_dist(stored_col), mycoli=col_img, &\n shifting='0')\n dst_proc = blacs2mpi(prow, pcol)\n!$ IF (is_left .AND. do_symmetry) THEN\n!$ myt = threads_dist(stored_row)\n!$ END IF\n!$OMP ATOMIC\n send_sizes(imeta, myt, ui, dst_proc) = &\n send_sizes(imeta, myt, ui, dst_proc) + 3\n!$OMP ATOMIC\n send_sizes(idata, myt, ui, dst_proc) = &\n send_sizes(idata, myt, ui, dst_proc) + nze\n END DO ! symmetry_i\n END DO\n CALL dbcsr_iterator_stop(iter)\n!$OMP BARRIER\n!$OMP MASTER\n ! Exchange refs\n ALLOCATE (recv_sizes(idata:imeta, 0:nthreads - 1, &\n nimages, 0:nprocs_total - 1))\n CALL timeset(routineN//\"_sizes\", handle2)\n CALL mp_alltoall(send_sizes(:, :, :, :), &\n recv_sizes(:, :, :, :), &\n 2*nimages*nthreads, grp)\n CALL timestop(handle2)\n !\n ! Evaluate the local size for each image, accumulating over threads and procs.\n ! Take the local displacement for each image.\n ! Note that displacement starts at zero.\n my_size_recv(:) = 0\n local_images_size(:, :) = 0\n ALLOCATE (local_images_displ(idata:imeta, nimages))\n DO ui = 1, nimages\n local_images_displ(:, ui) = my_size_recv(:)\n DO dst_proc = 0, nprocs_total - 1\n DO it = 0, nthreads - 1\n local_images_size(:, ui) = local_images_size(:, ui) + &\n recv_sizes(:, it, ui, dst_proc)\n END DO\n END DO\n IF (local_images_size(imeta, ui) .EQ. 0) CYCLE\n ! Include stats slots for threads indices\n local_images_size(imeta, ui) = local_images_size(imeta, ui) + size_index\n my_size_recv(:) = my_size_recv(:) + local_images_size(:, ui)\n END DO\n !\n ! Exchange sizes\n IF (is_left) THEN\n CALL mp_iallgather(local_images_size, left_images_size, buffer%subgrp, requests(irequests))\n ELSE\n CALL mp_iallgather(local_images_size, right_images_size, buffer%subgrp, requests(irequests))\n END IF\n !\n ! Allocate data and meta buffers\n do_win_create(:) = .NOT. buffer%has_rma_win\n IF (buffer%has_rma_win) THEN\n IF (buffer%grp .NE. grp .OR. dbcsr_data_get_type(buffer%data) .NE. data_type) THEN\n do_win_create(:) = .TRUE.\n END IF\n END IF\n CALL buffer_init(buffer, data_type, &\n my_size_recv(idata), my_size_recv(imeta), &\n data_memory_type=memtype_mpi_buffer)\n buffer%grp = grp\n !\n ! Set send and recv buffers sizes and displacements for each proc.\n ! Accumulate over images and threads.\n ! Here displacement starts at one.\n ALLOCATE (send_displs(idata:imeta, 0:nthreads - 1, &\n nimages, 0:nprocs_total - 1))\n ! Displs for local data arrangement, starting at one.\n ALLOCATE (recv_displs(idata:imeta, 0:nthreads - 1, &\n nimages, 0:nprocs_total - 1))\n ! Here displacement starts at zero.\n ALLOCATE (send_size_proc(idata:imeta, 0:nprocs_total - 1))\n ALLOCATE (recv_size_proc(idata:imeta, 0:nprocs_total - 1))\n ALLOCATE (send_displ_proc(idata:imeta, 0:nprocs_total - 1))\n ALLOCATE (recv_displ_proc(idata:imeta, 0:nprocs_total - 1))\n my_size_send(:) = 1\n my_size_recv(:) = 1\n DO dst_proc = 0, nprocs_total - 1\n send_displ_proc(:, dst_proc) = my_size_send(:) - 1\n recv_displ_proc(:, dst_proc) = my_size_recv(:) - 1\n ! Avoid communication of local data\n IF (dst_proc .NE. mynode) THEN\n DO ui = 1, nimages\n DO it = 0, nthreads - 1\n send_displs(:, it, ui, dst_proc) = my_size_send(:)\n recv_displs(:, it, ui, dst_proc) = my_size_recv(:)\n my_size_send(:) = my_size_send(:) + send_sizes(:, it, ui, dst_proc)\n my_size_recv(:) = my_size_recv(:) + recv_sizes(:, it, ui, dst_proc)\n END DO\n END DO\n ELSE\n ! Reset all\n send_displs(:, :, :, dst_proc) = 0\n recv_displs(:, :, :, dst_proc) = 0\n END IF\n send_size_proc(:, dst_proc) = my_size_send(:) - send_displ_proc(:, dst_proc) - 1\n recv_size_proc(:, dst_proc) = my_size_recv(:) - recv_displ_proc(:, dst_proc) - 1\n END DO\n !\n ! Allocate data/meta to send\n IF (dbcsr_data_valid(make_buffers_data_send)) THEN\n IF (dbcsr_data_get_type(make_buffers_data_send) .NE. data_type) THEN\n CALL dbcsr_data_release(make_buffers_data_send)\n END IF\n END IF\n IF (dbcsr_data_valid(make_buffers_data_send)) THEN\n CALL dbcsr_data_ensure_size(make_buffers_data_send, my_size_send(idata) - 1, nocopy=.TRUE.)\n ELSE\n CALL dbcsr_data_init(make_buffers_data_send)\n CALL dbcsr_data_new(make_buffers_data_send, data_type, my_size_send(idata) - 1, &\n memory_type=memtype_mpi_buffer)\n END IF\n CALL ensure_array_size(make_buffers_meta_send, ub=my_size_send(imeta) - 1, &\n nocopy=.TRUE., memory_type=memtype_mpi_buffer)\n ! Displs for data offset\n ALLOCATE (offset_threads(idata:imeta, 0:nthreads - 1, nimages))\n offset_threads(:, :, :) = 0\n ! Set offset for local data\n ALLOCATE (offset_data(0:nthreads - 1, nimages, 0:nprocs_total - 1))\n offset_data(:, :, :) = 1\n ! Evaluate local displs\n DO ui = 1, nimages\n IF (local_images_size(imeta, ui) .EQ. 0) CYCLE\n offset_threads(:, 0, ui) = 0\n DO it = 1, nthreads - 1\n offset_threads(:, it, ui) = offset_threads(:, it - 1, ui)\n DO dst_proc = 0, nprocs_total - 1\n offset_threads(:, it, ui) = offset_threads(:, it, ui) + &\n recv_sizes(:, it - 1, ui, dst_proc)\n END DO\n END DO\n ! Fill meta indices for threads\n!$ IF (is_left) THEN\n!$ buffer%meta(local_images_displ(imeta, ui) + 1:local_images_displ(imeta, ui) + nthreads) = &\n!$ offset_threads(imeta, :, ui)/3\n!$ buffer%meta(local_images_displ(imeta, ui) + size_index) = &\n!$ (local_images_size(imeta, ui) - size_index)/3\n!$ END IF\n offset_threads(imeta, :, ui) = offset_threads(imeta, :, ui) + local_images_displ(imeta, ui) + size_index + 1\n send_displs(:, :, ui, mynode) = offset_threads(:, :, ui)\n !\n ! Allow ordering by proc for insertion\n DO dst_proc = 0, mynode - 1\n DO it = 0, nthreads - 1\n send_displs(:, it, ui, mynode) = send_displs(:, it, ui, mynode) + &\n recv_sizes(:, it, ui, dst_proc)\n END DO\n END DO\n offset_data(:, ui, mynode) = send_displs(idata, :, ui, mynode) + 1\n send_displs(idata, :, ui, mynode) = send_displs(idata, :, ui, mynode) + local_images_displ(idata, ui) + 1\n END DO\n!$OMP END MASTER\n!$OMP BARRIER\n !\n IF (do_part_crop_row .OR. do_part_crop_col) THEN\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(data_block, dbcsr_type_1d_to_2d(data_type))\n END IF\n !\n ! Copy data and meta in the buffers\n CALL timeset(routineN//\"_pack\", handle2)\n CALL dbcsr_iterator_start(iter, matrix, shared=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, blk_p=blk_p, &\n row_size=row_size, col_size=col_size)\n nze = row_size*col_size\n IF (nze .EQ. 0) CYCLE\n bp = ABS(blk_p)\n DO symmetry_i = 1, nsymmetries\n IF (symmetry_i .EQ. 1) THEN\n stored_row = row; stored_col = col; tr = blk_p .LT. 0\n tr_row_size = col_size; tr_col_size = row_size\n ELSE\n IF (row .EQ. col) CYCLE\n stored_row = col; stored_col = row; tr = blk_p .GT. 0\n tr_row_size = row_size; tr_col_size = col_size\n END IF\n ! Apply cropping\n IF (do_crop) THEN\n IF (stored_row .LT. block_row_bounds(1)) CYCLE\n IF (stored_row .GT. block_row_bounds(2)) CYCLE\n IF (stored_col .LT. block_col_bounds(1)) CYCLE\n IF (stored_col .GT. block_col_bounds(2)) CYCLE\n END IF\n row_img = row_img_dist(stored_row)\n col_img = col_img_dist(stored_col)\n CALL image_calculator(imgdist, &\n prow=prow, pcol=pcol, &\n rowi=rowi, coli=coli, &\n myprow=row_dist(stored_row), myrowi=row_img, &\n mypcol=col_dist(stored_col), mycoli=col_img, &\n shifting='0')\n dst_proc = blacs2mpi(prow, pcol)\n IF (dst_proc .EQ. mynode) THEN\n data_buffer_p => buffer%data\n meta_buffer_p => buffer%meta\n ELSE\n data_buffer_p => make_buffers_data_send\n meta_buffer_p => make_buffers_meta_send\n END IF\n!$ IF (is_left .AND. do_symmetry) THEN\n!$ myt = threads_dist(stored_row)\n!$ call omp_set_lock(locks(myt))\n!$ END IF\n IF (tr) THEN\n CALL dbcsr_block_transpose_aa(data_buffer_p, sm%data_area, tr_row_size, tr_col_size, &\n send_displs(idata, myt, ui, dst_proc), bp, &\n scale_value)\n IF (sm%negate_real .AND. sm%negate_imaginary) THEN\n CALL dbcsr_block_scale(data_buffer_p, scale=scale_neg_one, &\n row_size=nze, col_size=1, &\n lb=send_displs(idata, myt, ui, dst_proc))\n ELSEIF (sm%negate_real) THEN\n CALL dbcsr_block_real_neg(data_buffer_p, row_size=nze, col_size=1, &\n lb=send_displs(idata, myt, ui, dst_proc))\n ELSEIF (sm%negate_imaginary) THEN\n CALL dbcsr_block_conjg(data_buffer_p, row_size=nze, col_size=1, &\n lb=send_displs(idata, myt, ui, dst_proc))\n END IF\n ELSE\n CALL dbcsr_block_copy_aa(data_buffer_p, sm%data_area, row_size, col_size, &\n send_displs(idata, myt, ui, dst_proc), bp, &\n scale_value)\n END IF\n !\n ! Apply cropping for partial blocks\n IF (do_part_crop_row .OR. do_part_crop_col) THEN\n CALL dbcsr_data_set_pointer( &\n area=data_block, &\n rsize=row_size, &\n csize=col_size, &\n pointee=data_buffer_p, &\n source_lb=send_displs(idata, myt, ui, dst_proc))\n IF (do_part_crop_row) THEN\n IF (do_part_crop_f_row .AND. stored_row .EQ. block_row_bounds(1)) THEN\n CALL dbcsr_data_clear(data_block, ub=f_row_f)\n END IF\n IF (do_part_crop_l_row .AND. stored_row .EQ. block_row_bounds(2)) THEN\n CALL dbcsr_data_clear(data_block, lb=l_row_l)\n END IF\n END IF\n IF (do_part_crop_col) THEN\n IF (do_part_crop_f_col .AND. stored_col .EQ. block_col_bounds(1)) THEN\n CALL dbcsr_data_clear(data_block, ub2=f_col_f)\n END IF\n IF (do_part_crop_l_col .AND. stored_col .EQ. block_col_bounds(2)) THEN\n CALL dbcsr_data_clear(data_block, lb2=l_col_l)\n END IF\n END IF\n END IF\n !\n ! Set meta data (global or local indexing)\n IF (dst_proc .EQ. mynode) THEN\n stored_row = local_g2l_map_rows(stored_row)\n stored_col = local_g2l_map_cols(stored_col)\n ! Count the maximum possible multiplies per row for on-the-fly filtering\n IF (is_left .AND. otf_filtering) THEN\n left_total_row_counts(stored_row) = &\n left_total_row_counts(stored_row) + 1\n END IF\n END IF\n meta_buffer_p(send_displs(imeta, myt, ui, dst_proc)) = stored_row\n meta_buffer_p(send_displs(imeta, myt, ui, dst_proc) + 1) = stored_col\n meta_buffer_p(send_displs(imeta, myt, ui, dst_proc) + 2) = offset_data(myt, ui, dst_proc)\n !\n send_displs(imeta, myt, ui, dst_proc) = send_displs(imeta, myt, ui, dst_proc) + 3\n send_displs(idata, myt, ui, dst_proc) = send_displs(idata, myt, ui, dst_proc) + nze\n offset_data(myt, ui, dst_proc) = offset_data(myt, ui, dst_proc) + nze\n!$ IF (is_left .AND. do_symmetry) THEN\n!$ call omp_unset_lock(locks(myt))\n!$ END IF\n END DO\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL timestop(handle2)\n !\n IF (do_part_crop_row .OR. do_part_crop_col) THEN\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_data_release(data_block)\n END IF\n !\n!$OMP BARRIER\n!$OMP MASTER\n !\n ! Allocate data/meta to recv\n IF (dbcsr_data_valid(make_buffers_data_recv)) THEN\n IF (dbcsr_data_get_type(make_buffers_data_recv) .NE. data_type) THEN\n CALL dbcsr_data_release(make_buffers_data_recv)\n END IF\n END IF\n IF (dbcsr_data_valid(make_buffers_data_recv)) THEN\n CALL dbcsr_data_ensure_size(make_buffers_data_recv, my_size_recv(idata) - 1, nocopy=.TRUE.)\n ELSE\n CALL dbcsr_data_init(make_buffers_data_recv)\n CALL dbcsr_data_new(make_buffers_data_recv, data_type, my_size_recv(idata) - 1, &\n memory_type=memtype_mpi_buffer)\n END IF\n CALL ensure_array_size(make_buffers_meta_recv, ub=my_size_recv(imeta) - 1, &\n nocopy=.TRUE., memory_type=memtype_mpi_buffer)\n ! Exchange data\n CALL timeset(routineN//\"_data\", handle2)\n CALL hybrid_alltoall_any(make_buffers_data_send, send_size_proc(idata, :), send_displ_proc(idata, :), &\n make_buffers_data_recv, recv_size_proc(idata, :), recv_displ_proc(idata, :), &\n mp_obj, &\n most_ptp=.TRUE., remainder_ptp=.TRUE., no_hybrid=.FALSE.)\n CALL hybrid_alltoall_i1(make_buffers_meta_send, send_size_proc(imeta, :), send_displ_proc(imeta, :), &\n make_buffers_meta_recv, recv_size_proc(imeta, :), recv_displ_proc(imeta, :), &\n mp_obj, &\n most_ptp=.TRUE., remainder_ptp=.TRUE., no_hybrid=.FALSE.)\n CALL timestop(handle2)\n!$OMP END MASTER\n!$OMP BARRIER\n!$ IF (is_left .AND. do_symmetry) THEN\n!$ call omp_destroy_lock(locks(ithread))\n!$ END IF\n !\n ! Arrange data in the local buffers in images\n data_buffer_p => buffer%data\n meta_buffer_p => buffer%meta\n DO ui = 1, nimages\n ! Check for empty images\n IF (local_images_size(imeta, ui) .EQ. 0) CYCLE\n DO dst_proc = 0, nprocs_total - 1\n IF (recv_sizes(imeta, ithread, ui, dst_proc) .EQ. 0) CYCLE\n ! Skip local data\n IF (dst_proc .EQ. mynode) THEN\n offset_threads(:, ithread, ui) = offset_threads(:, ithread, ui) + &\n recv_sizes(:, ithread, ui, dst_proc)\n ELSE\n ! Copy meta, block by block\n DO blk = recv_displs(imeta, ithread, ui, dst_proc), &\n recv_displs(imeta, ithread, ui, dst_proc) + recv_sizes(imeta, ithread, ui, dst_proc) - 1, 3\n stored_row = local_g2l_map_rows(make_buffers_meta_recv(blk))\n stored_col = local_g2l_map_cols(make_buffers_meta_recv(blk + 1))\n meta_buffer_p(offset_threads(imeta, ithread, ui)) = stored_row\n meta_buffer_p(offset_threads(imeta, ithread, ui) + 1) = stored_col\n meta_buffer_p(offset_threads(imeta, ithread, ui) + 2) = make_buffers_meta_recv(blk + 2) + &\n offset_threads(idata, ithread, ui)\n offset_threads(imeta, ithread, ui) = offset_threads(imeta, ithread, ui) + 3\n ! Count the maximum possible multiplies per row for on-the-fly filtering\n IF (is_left .AND. otf_filtering) THEN\n!$OMP ATOMIC\n left_total_row_counts(stored_row) = &\n left_total_row_counts(stored_row) + 1\n END IF\n END DO\n ! Copy data\n CALL dbcsr_data_set(data_buffer_p, &\n offset_threads(idata, ithread, ui) + local_images_displ(idata, ui) + 1, &\n recv_sizes(idata, ithread, ui, dst_proc), &\n make_buffers_data_recv, recv_displs(idata, ithread, ui, dst_proc))\n offset_threads(idata, ithread, ui) = offset_threads(idata, ithread, ui) + &\n recv_sizes(idata, ithread, ui, dst_proc)\n END IF\n END DO\n END DO\n!$OMP END PARALLEL\n DEALLOCATE (send_sizes, recv_sizes)\n DEALLOCATE (send_displs, recv_displs, offset_data, offset_threads)\n DEALLOCATE (send_size_proc, send_displ_proc, recv_size_proc, recv_displ_proc)\n !\n IF (is_left .AND. otf_filtering) THEN\n CALL mp_isum(left_total_row_counts, dbcsr_mp_my_row_group(mp_obj), request_count_rows)\n END IF\n !\n CALL setup_rec_index_images(buffer%meta, img_nblks_rows, img_nblks_cols, &\n local_images_size(imeta, :), local_images_displ(imeta, :), &\n size_index, is_left)\n IF (buffer%has_rma_win) THEN\n do_win_create(1) = do_win_create(1) .OR. dbcsr_data_exists(buffer%data_before_resize)\n do_win_create(2) = do_win_create(2) .OR. ASSOCIATED(buffer%meta_before_resize)\n CALL mp_isum(do_win_create, buffer%subgrp, requests_win_create(irequests))\n END IF\n !\n IF (is_left) THEN\n NULLIFY (local_g2l_map_rows)\n DEALLOCATE (local_g2l_map_cols)\n ELSE\n DEALLOCATE (local_g2l_map_rows)\n NULLIFY (local_g2l_map_cols)\n END IF\n!$ IF (is_left .AND. do_symmetry) THEN\n!$ DEALLOCATE (locks)\n!$ END IF\n !\n DEALLOCATE (img_nblks_rows, img_nblks_cols)\n DEALLOCATE (local_images_displ)\n !\n CALL timestop(handle)\n END SUBROUTINE make_buffers\n\n SUBROUTINE make_layers_3D_AB(my_num_layers_3D, side3D, mp_obj, is_left, buffer)\n !! Make communicators for A and B matrices\n INTEGER, INTENT(IN) :: my_num_layers_3D, side3D\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_obj\n LOGICAL, INTENT(IN) :: is_left\n TYPE(dbcsr_buffer), INTENT(INOUT) :: buffer\n\n INTEGER :: color, key, mypcol, myprow\n TYPE(mp_comm_type) :: mygrp\n\n ! Switch to single layer communicator\n IF (my_num_layers_3D .LE. 1) THEN\n IF (buffer%num_layers_3D .GT. 1 .AND. buffer%subgrp .NE. mp_comm_null) &\n CALL mp_comm_free(buffer%subgrp)\n buffer%num_layers_3D = 1\n IF (is_left) THEN\n buffer%subgrp = dbcsr_mp_my_row_group(mp_obj)\n ELSE\n buffer%subgrp = dbcsr_mp_my_col_group(mp_obj)\n END IF\n RETURN\n END IF\n !\n ! Check if any existing 3D communicator can be reused\n mygrp = dbcsr_mp_group(mp_obj)\n IF (buffer%grp .EQ. mygrp .AND. buffer%num_layers_3D .EQ. my_num_layers_3D) RETURN\n !\n ! Reset previous 3D communicator\n IF (buffer%num_layers_3D .GT. 1 .AND. buffer%subgrp .NE. mp_comm_null) &\n CALL mp_comm_free(buffer%subgrp)\n !\n myprow = dbcsr_mp_myprow(mp_obj)\n mypcol = dbcsr_mp_mypcol(mp_obj)\n IF (is_left) THEN\n color = MOD(myprow, side3D)\n ! Column-major order\n key = mypcol*(dbcsr_mp_nprows(mp_obj)/side3D) + myprow/side3D\n ELSE\n color = MOD(mypcol, side3D)\n ! Row-major order\n key = myprow*(dbcsr_mp_npcols(mp_obj)/side3D) + mypcol/side3D\n END IF\n CALL mp_comm_split_direct(mygrp, buffer%subgrp, color, key)\n buffer%num_layers_3D = my_num_layers_3D\n END SUBROUTINE make_layers_3D_AB\n\n PURE FUNCTION get_rank3D(myprow, mypcol, nprows, side3D)\n !! Return the rank of the 3D layer (3D communicator for C), Column-major order\n INTEGER, INTENT(IN) :: myprow, mypcol, nprows, side3D\n INTEGER :: get_rank3D\n\n get_rank3D = myprow/side3D + (nprows/side3D)*(mypcol/side3D)\n END FUNCTION get_rank3D\n\n SUBROUTINE make_layers_3D_C_reduction(my_num_layers_3D, mp_obj)\n !! Make communicators for 3D layers for C-reduction\n INTEGER, INTENT(IN) :: my_num_layers_3D\n TYPE(dbcsr_mp_obj), INTENT(INOUT) :: mp_obj\n\n CHARACTER(len=100) :: msg\n INTEGER :: color, key, mypcol, myprow, &\n npcols, nprows, numnodes\n LOGICAL :: do_layers_3D\n LOGICAL, SAVE :: warning = .TRUE.\n TYPE(mp_comm_type) :: mygrp\n\n CALL dbcsr_mp_grid_setup(mp_obj)\n IF (my_num_layers_3D .LE. 1) THEN\n ! Reset 3D communicator if it was previously declared\n IF (layers_3D_C_reduction%num_layers_3D .GT. 1) CALL release_layers_3D_C_reduction()\n RETURN\n END IF\n !\n ! Check if any existing 3D communicator can be reused\n mygrp = dbcsr_mp_group(mp_obj)\n IF (layers_3D_C_reduction%grp .EQ. mygrp .AND. &\n layers_3D_C_reduction%num_layers_3D .EQ. my_num_layers_3D) RETURN\n !\n ! Reset 3D communicator\n CALL release_layers_3D_C_reduction()\n !\n ! Checks for 3D algorithm\n numnodes = dbcsr_mp_numnodes(mp_obj)\n nprows = dbcsr_mp_nprows(mp_obj)\n npcols = dbcsr_mp_npcols(mp_obj)\n IF (dbcsr_cfg%use_mpi_rma%val) THEN\n IF (nprows .NE. npcols) THEN\n ! No square topology, scale the maximum coordinate\n do_layers_3D = MAX(nprows, npcols) .EQ. (my_num_layers_3D*MIN(nprows, npcols)) .AND. &\n my_num_layers_3D .LE. MIN(nprows, npcols)\n ELSE\n ! Square topology, scale both coordinates\n do_layers_3D = ((nprows/NINT(SQRT(REAL(MAX(1, my_num_layers_3D), KIND=real_8))))**2)* &\n my_num_layers_3D .EQ. (nprows*npcols)\n END IF\n IF (.NOT. do_layers_3D .AND. warning) THEN\n WRITE (UNIT=msg, FMT='(A,I3,A,I3,A,I3,A)') \"Cannot make 3D layers with \", my_num_layers_3D, &\n \" layers and (\", nprows, \"x\", npcols, \") ranks! Run with a single layer.\"\n DBCSR_WARN(msg)\n warning = .FALSE.\n END IF\n IF (do_layers_3D) THEN\n layers_3D_C_reduction%grp = mygrp\n layers_3D_C_reduction%num_layers_3D = my_num_layers_3D\n layers_3D_C_reduction%max_num_layers_3D = &\n MAX(layers_3D_C_reduction%max_num_layers_3D, &\n my_num_layers_3D)\n layers_3D_C_reduction%side3D = NINT(SQRT(REAL(numnodes/my_num_layers_3D, KIND=real_8)))\n !\n ! Create a new 3D communicator\n myprow = dbcsr_mp_myprow(mp_obj)\n mypcol = dbcsr_mp_mypcol(mp_obj)\n ! Row-wise order for color\n color = MOD(myprow, layers_3D_C_reduction%side3D)* &\n layers_3D_C_reduction%side3D + MOD(mypcol, layers_3D_C_reduction%side3D)\n ! Column-major order\n key = get_rank3D(myprow, mypcol, nprows, layers_3D_C_reduction%side3D)\n CALL mp_comm_split_direct(mygrp, layers_3D_C_reduction%grp3D, color, key)\n !\n ! Create a 3D-row communicator based on the 3D communicator\n color = key/(nprows/layers_3D_C_reduction%side3D)\n CALL mp_comm_split_direct(layers_3D_C_reduction%grp3D, &\n layers_3D_C_reduction%rowgrp3D, color, key)\n END IF\n ELSE\n DBCSR_WARN('Cannot make 3D layers without experimental MPI algorithm enabled!')\n END IF\n END SUBROUTINE make_layers_3D_C_reduction\n\n SUBROUTINE release_layers_3D_C_reduction(release_buffers)\n !! Release communicators for 3D layers for C-reduction\n LOGICAL, OPTIONAL :: release_buffers\n\n INTEGER :: ibuff\n\n layers_3D_C_reduction%grp = mp_comm_null\n IF (layers_3D_C_reduction%rowgrp3D .NE. mp_comm_null) CALL mp_comm_free(layers_3D_C_reduction%rowgrp3D)\n IF (layers_3D_C_reduction%grp3D .NE. mp_comm_null) CALL mp_comm_free(layers_3D_C_reduction%grp3D)\n layers_3D_C_reduction%rowgrp3D = mp_comm_null\n layers_3D_C_reduction%grp3D = mp_comm_null\n layers_3D_C_reduction%num_layers_3D = 1\n layers_3D_C_reduction%side3D = HUGE(1)\n\n IF (PRESENT(release_buffers)) THEN\n IF (release_buffers .AND. ALLOCATED(layers_3D_C_reduction%data_red3D)) THEN\n DO ibuff = 1, SIZE(layers_3D_C_reduction%data_red3D)\n CALL dbcsr_data_release(layers_3D_C_reduction%data_red3D(ibuff))\n END DO\n DEALLOCATE (layers_3D_C_reduction%data_red3D)\n END IF\n END IF\n END SUBROUTINE release_layers_3D_C_reduction\n\n SUBROUTINE multiply_3D(imgdist_left, imgdist_right, &\n matrix_left, matrix_right, &\n product_matrix, &\n retain_sparsity, &\n filter_eps, flop, keep_product_data)\n !! Multiplies two DBCSR matrices (experimental MPI algorithm).\n !! This algorithm is experimental and it should be not used in\n !! production runs.\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist_left, imgdist_right\n TYPE(dbcsr_type), INTENT(IN) :: matrix_left, matrix_right\n TYPE(dbcsr_type), INTENT(INOUT), TARGET :: product_matrix\n !! DBCSR product matrix\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n !! retain the sparsity of the existing product matrix; default is no\n REAL(kind=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT) :: flop\n !! effective flop\n LOGICAL, INTENT(IN) :: keep_product_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'multiply_3D'\n INTEGER :: blk, data_type, data_type_byte, final_step_k, handle, &\n handle1, handle2, icol3D, icol3D_send, ileft_buffer_calc, ileft_buffer_comm, &\n iright_buffer_calc, iright_buffer_comm, irow3D, irow3D_send, istep_k_ordered, ithread, &\n ivirt_k, last_step_k, left_col_mult, left_col_nimages, left_col_total_nimages, &\n left_max_data_size, left_max_meta_size, left_myfirstvcol, left_myfirstvrow, left_mypcol, &\n left_myprow, left_npcols, left_nprows, left_row_mult, left_row_nimages, &\n leftovers_first_k, leftovers_k, leftovers_shift_k, leftovers_start_k, min_nimages, &\n mycol3D, mypcol, myprow\n INTEGER :: myrank3D, myrow3D, myt, nblkrows_local, nbuffers, nbuffers_norms, ncols3D, &\n nranks3D, nrows3D, nthreads, numnodes, nvirt_k, proc3D_recv, proc3D_send, recv_vcol, &\n recv_vrow, right_col_mult, right_col_nimages, &\n right_max_data_size, right_max_meta_size, right_myfirstvcol, right_myfirstvrow, &\n right_mypcol, right_myprow, right_npcols, right_nprows, right_row_mult, &\n right_row_nimages, right_row_total_nimages, row, shift3D, shift3D_comm, shift3D_recv, &\n size_guess, size_guess_init, start_k, start_k_ordered, v_ki\n INTEGER(KIND=int_8) :: mem\n INTEGER, ALLOCATABLE, DIMENSION(:) :: left_vrow, product_matrix_epss_displ, &\n product_matrix_epss_size, product_matrix_meta, product_matrix_size_recv, &\n product_matrix_size_send, right_vcol\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: product_matrix_meta_displ, &\n product_matrix_meta_size\n TYPE(mp_request_type) :: request_epss, request_keep_sparsity\n TYPE(mp_request_type), DIMENSION(2) :: requests_reduction_size\n TYPE(mp_request_type), ALLOCATABLE, DIMENSION(:) :: requests_reduction\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_blk_sizes2enum, enum2col_blk_sizes, &\n enum2row_blk_sizes, product_matrix_meta_recv, product_matrix_meta_send, &\n row_blk_sizes2enum\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: k_sizes\n INTEGER, DIMENSION(:, :, :), POINTER, CONTIGUOUS :: left_displ_layers3D, &\n left_images_size_layers3D, &\n right_displ_layers3D, &\n right_images_size_layers3D\n INTEGER, DIMENSION(dbcsr_slot_nblkrows_total: &\n dbcsr_slot_nfullcols_local) :: left_global_indices, right_global_indices\n INTEGER, POINTER :: istep_k_comm\n INTEGER, TARGET :: istep_k, istep_k_comm_curr\n LOGICAL :: do_layers3D, do_square_layers3D, &\n first_k, first_v_k, is_not_comm, &\n keep_sparsity, otf_filtering\n LOGICAL, ALLOCATABLE, DIMENSION(:) :: do_comm_left, do_comm_right\n REAL(kind=sp) :: filter_eps_sp\n REAL(kind=sp), ALLOCATABLE, DIMENSION(:), TARGET :: row_max_epss\n REAL(kind=sp), ALLOCATABLE, DIMENSION(:, :) :: left_norms, right_norms\n REAL(kind=sp), DIMENSION(:), POINTER, CONTIGUOUS :: product_matrix_epss\n TYPE(dbcsr_2d_array_obj) :: product_matrix3D\n TYPE(dbcsr_buffer), ALLOCATABLE, DIMENSION(:), &\n TARGET :: left_buffers, right_buffers\n TYPE(dbcsr_buffer), POINTER :: left_buffer_p, right_buffer_p\n TYPE(dbcsr_data_obj) :: data_get, data_send\n TYPE(dbcsr_mm_multrec_type_p), ALLOCATABLE, &\n DIMENSION(:, :, :) :: multrec\n TYPE(dbcsr_mp_obj) :: left_mp_obj, product_mp_obj, right_mp_obj\n TYPE(mn_local_sizes), ALLOCATABLE, DIMENSION(:) :: m_sizes, n_sizes\n TYPE(mp_comm_type) :: grp_left, grp_right\n\n CALL timeset(routineN, handle)\n !\n NULLIFY (row_blk_sizes2enum, enum2row_blk_sizes)\n NULLIFY (col_blk_sizes2enum, enum2col_blk_sizes)\n NULLIFY (k_sizes)\n !\n IF (PRESENT(retain_sparsity)) THEN\n keep_sparsity = retain_sparsity\n ELSE\n keep_sparsity = .FALSE.\n END IF\n otf_filtering = PRESENT(filter_eps)\n !\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (nthreads)\n!$OMP MASTER\n nthreads = 1\n!$ nthreads = OMP_GET_NUM_THREADS()\n!$OMP END MASTER\n!$OMP END PARALLEL\n !\n ! Dummy checks\n IF (.NOT. ASSOCIATED(product_matrix%wms)) &\n DBCSR_ABORT(\"Work matrices do not exist\")\n IF (SIZE(product_matrix%wms) .NE. nthreads) &\n DBCSR_ABORT(\"Work matrices not correctly sized.\")\n IF (.NOT. buffers_win%left%is_valid .OR. &\n .NOT. buffers_win%right%is_valid .OR. &\n .NOT. ASSOCIATED(buffers_win%left%meta) .OR. &\n .NOT. ASSOCIATED(buffers_win%right%meta) .OR. &\n .NOT. ASSOCIATED(left_images_size) .OR. &\n .NOT. ASSOCIATED(right_images_size) .OR. &\n .NOT. ALLOCATED(left_local_images_size) .OR. &\n .NOT. ALLOCATED(right_local_images_size)) &\n DBCSR_ABORT(\"No buffers associated for the experimental algo!\")\n !\n ! Set up variables\n flop = 0\n data_type = dbcsr_get_data_type(product_matrix)\n data_type_byte = dbcsr_datatype_sizeof(data_type)\n left_row_nimages = imgdist_left%i%row_decimation\n left_row_mult = imgdist_left%i%row_multiplicity\n left_col_nimages = imgdist_left%i%col_decimation\n left_col_mult = imgdist_left%i%col_multiplicity\n right_row_nimages = imgdist_right%i%row_decimation\n right_row_mult = imgdist_right%i%row_multiplicity\n right_col_nimages = imgdist_right%i%col_decimation\n right_col_mult = imgdist_right%i%col_multiplicity\n left_mp_obj = dbcsr_distribution_mp(imgdist_left%i%main)\n right_mp_obj = dbcsr_distribution_mp(imgdist_right%i%main)\n product_mp_obj = dbcsr_distribution_mp(product_matrix%dist)\n numnodes = dbcsr_mp_numnodes(product_mp_obj)\n myprow = dbcsr_mp_myprow(product_mp_obj)\n mypcol = dbcsr_mp_mypcol(product_mp_obj)\n left_nprows = dbcsr_mp_nprows(left_mp_obj)\n left_npcols = dbcsr_mp_npcols(left_mp_obj)\n left_myprow = dbcsr_mp_myprow(left_mp_obj)\n left_mypcol = dbcsr_mp_mypcol(left_mp_obj)\n left_myfirstvrow = MOD(left_myprow, layers_3D_C_reduction%side3D)*left_row_nimages\n left_myfirstvcol = MOD(left_mypcol, layers_3D_C_reduction%side3D)*left_col_nimages\n right_nprows = dbcsr_mp_nprows(right_mp_obj)\n right_npcols = dbcsr_mp_npcols(right_mp_obj)\n right_myprow = dbcsr_mp_myprow(right_mp_obj)\n right_mypcol = dbcsr_mp_mypcol(right_mp_obj)\n right_myfirstvrow = MOD(right_myprow, layers_3D_C_reduction%side3D)*right_row_nimages\n right_myfirstvcol = MOD(right_mypcol, layers_3D_C_reduction%side3D)*right_col_nimages\n left_col_total_nimages = left_npcols*left_col_nimages\n right_row_total_nimages = right_nprows*right_row_nimages\n grp_right = buffers_win%right%subgrp\n grp_left = buffers_win%left%subgrp\n !\n do_layers3D = layers_3D_C_reduction%num_layers_3D .GT. 1\n myrow3D = myprow/layers_3D_C_reduction%side3D + 1\n mycol3D = mypcol/layers_3D_C_reduction%side3D + 1\n nrows3D = SIZE(left_images_size, 3)\n ncols3D = SIZE(right_images_size, 3)\n myrank3D = get_rank3D(myprow, mypcol, dbcsr_mp_nprows(product_mp_obj), layers_3D_C_reduction%side3D)\n nranks3D = layers_3D_C_reduction%num_layers_3D\n myprow = MOD(myprow, layers_3D_C_reduction%side3D)\n mypcol = MOD(mypcol, layers_3D_C_reduction%side3D)\n !\n ! Dummy checks\n ! subcommunicators\n IF (.NOT. dbcsr_mp_has_subgroups(right_mp_obj)) &\n DBCSR_ABORT(\"Experimental algorithm requires rows subcommunicators for right matrix!\")\n IF (.NOT. dbcsr_mp_has_subgroups(left_mp_obj)) &\n DBCSR_ABORT(\"Experimental algorithm requires columns subcommunicators for left matrix!\")\n ! Right col nimages\n IF (right_col_nimages .NE. 1) &\n DBCSR_ABORT(\"Col nimages for right matrix is not 1!\")\n ! Left row nimages\n IF (left_row_nimages .NE. 1) &\n DBCSR_ABORT(\"Row nimages for left matrix is not 1!\")\n ! left/right matching\n IF (left_col_nimages .NE. right_row_mult) &\n DBCSR_ABORT(\"Left/Right image mismatch\")\n IF (left_col_mult .NE. right_row_nimages) &\n DBCSR_ABORT(\"Left/Right image mismatch\")\n IF (left_col_nimages*left_npcols .NE. right_row_nimages*right_nprows) &\n DBCSR_ABORT(\"Left/Right total mismatch\")\n ! product/left matching\n IF (left_row_mult*dbcsr_mp_nprows(product_mp_obj) .NE. left_nprows) &\n DBCSR_ABORT(\"Product/Left total mismatch\")\n ! product/left matching\n IF (right_col_mult*dbcsr_mp_npcols(product_mp_obj) .NE. right_npcols) &\n DBCSR_ABORT(\"Product/Right total mismatch\")\n ! Check sizes from make_buffers\n IF (SIZE(left_images_size, 2) .NE. left_col_nimages .OR. &\n SIZE(right_images_size, 2) .NE. right_row_nimages) &\n DBCSR_ABORT(\"Mismatch in the sizes\")\n !\n dbcsr_mpi_statistics%nimages = MAX(dbcsr_mpi_statistics%nimages, left_col_nimages)\n dbcsr_mpi_statistics%nimages = MAX(dbcsr_mpi_statistics%nimages, right_row_nimages)\n !\n ! The main transfer loop goes through the virtual rows/columns.\n ! The number of steps may be smaller if the grid dimension is very\n ! non-optimal (both left column images and right row images are >\n ! 1).\n min_nimages = MIN(left_col_nimages, right_row_nimages)\n nvirt_k = left_npcols*left_col_nimages\n !\n ! Check RMA windows creation for original data\n CALL win_setup(buffers_win%left, do_win_create_left, requests_win_create(1))\n CALL win_setup(buffers_win%right, do_win_create_right, requests_win_create(2))\n !\n ! Count the maximum possible multiplies per row for on-the-fly filtering\n ALLOCATE (product_matrix_epss_size(nrows3D), product_matrix_epss_displ(nrows3D))\n IF (otf_filtering) THEN\n ! Wait for counts (sent in make_buffers)\n CALL timeset(routineN//\"_count_rows\", handle1)\n CALL mp_wait(request_count_rows)\n !\n nblkrows_local = SIZE(left_total_row_counts)\n ALLOCATE (row_max_epss(nblkrows_local))\n filter_eps_sp = REAL(filter_eps, KIND=KIND(row_max_epss))\n!$OMP PARALLEL DO DEFAULT (NONE) &\n!$OMP SHARED(nblkrows_local,row_max_epss,filter_eps_sp,&\n!$OMP left_total_row_counts)\n ! Determine the maximum per-block epsilon\n DO row = 1, nblkrows_local\n row_max_epss(row) = &\n (filter_eps_sp/REAL(MAX(1, left_total_row_counts(row)), KIND=KIND(row_max_epss)))**2\n END DO\n!$OMP END PARALLEL DO\n DEALLOCATE (left_total_row_counts)\n !\n IF (do_layers3D .AND. nrows3D .GT. 1) THEN\n CALL mp_allgather(SIZE(row_max_epss), &\n product_matrix_epss_size, &\n layers_3D_C_reduction%rowgrp3D)\n size_guess = 0\n DO irow3D = 1, nrows3D\n product_matrix_epss_displ(irow3D) = size_guess\n size_guess = size_guess + product_matrix_epss_size(irow3D)\n END DO\n ALLOCATE (product_matrix_epss(size_guess))\n CALL mp_iallgather(row_max_epss, &\n product_matrix_epss, product_matrix_epss_size, product_matrix_epss_displ, &\n layers_3D_C_reduction%rowgrp3D, request_epss)\n ELSE\n product_matrix_epss_size(nrows3D) = SIZE(row_max_epss)\n product_matrix_epss_displ(nrows3D) = 0\n product_matrix_epss => row_max_epss\n END IF\n CALL timestop(handle1)\n ELSE\n product_matrix_epss_size(:) = 0\n product_matrix_epss_displ(:) = 0\n ALLOCATE (product_matrix_epss(0))\n END IF\n !\n ! Exchange 3D meta for C matrix\n IF (do_layers3D .AND. keep_sparsity) THEN\n ALLOCATE (product_matrix_meta_size(nrows3D, ncols3D))\n CALL mp_allgather(product_matrix%index(dbcsr_slot_size), &\n product_matrix_meta_size, layers_3D_C_reduction%grp3D)\n ALLOCATE (product_matrix_meta_displ(nrows3D, ncols3D))\n size_guess = 0\n DO icol3D = 1, ncols3D\n DO irow3D = 1, nrows3D\n product_matrix_meta_displ(irow3D, icol3D) = size_guess\n size_guess = size_guess + product_matrix_meta_size(irow3D, icol3D)\n END DO\n END DO\n ALLOCATE (product_matrix_meta(size_guess))\n product_matrix%index(dbcsr_slot_nblks) = product_matrix%nblks\n product_matrix%index(dbcsr_slot_nze) = product_matrix%nze\n CALL mp_iallgather(product_matrix%index(1:product_matrix%index(dbcsr_slot_size)), &\n product_matrix_meta, product_matrix_meta_size, product_matrix_meta_displ, &\n layers_3D_C_reduction%grp3D, request_keep_sparsity)\n END IF\n !\n ! Wait refs and max norms (sent in make_buffers)\n CALL timeset(routineN//\"_sizes\", handle1)\n CALL mp_waitall(requests)\n CALL timestop(handle1)\n DEALLOCATE (right_local_images_size, left_local_images_size)\n !\n ! Needs to remap refs for virtual coordinates 3D\n CALL remap_layers3D(left_images_size, left_images_size_layers3D, left_displ_layers3D, &\n left_max_data_size, left_max_meta_size)\n CALL remap_layers3D(right_images_size, right_images_size_layers3D, right_displ_layers3D, &\n right_max_data_size, right_max_meta_size)\n left_max_meta_size = left_max_meta_size + dbcsr_num_slots\n right_max_meta_size = right_max_meta_size + dbcsr_num_slots\n !\n do_square_layers3D = .FALSE.\n nbuffers_norms = 1\n IF (nvirt_k .EQ. 1) THEN\n nbuffers = 1\n ELSEIF (nrows3D .NE. ncols3D .OR. nranks3D .EQ. 1) THEN\n nbuffers = 2\n ELSE\n ! Note that nrows3D==ncols3D >= 2\n ! Last buffer is used as temporary for communications\n nbuffers = nrows3D + 1\n nbuffers_norms = nrows3D\n do_square_layers3D = .TRUE.\n END IF\n !\n ! update capacity of memory-pools\n IF (ASSOCIATED(memtype_abpanel_1%pool)) &\n CALL dbcsr_mempool_limit_capacity(memtype_abpanel_1%pool, &\n capacity=2)\n IF (ASSOCIATED(memtype_abpanel_2%pool)) &\n CALL dbcsr_mempool_limit_capacity(memtype_abpanel_2%pool, &\n capacity=2)\n IF (use_acc()) THEN\n ! enumerate the blocksizes to keep the following 2D-arrays small.\n CALL enumerate_blk_sizes(matrix_right%row_blk_size%low%data, &\n dbcsr_max_row_size(matrix_right), &\n row_blk_sizes2enum, enum2row_blk_sizes)\n CALL enumerate_blk_sizes(matrix_right%col_blk_size%low%data, &\n dbcsr_max_col_size(matrix_right), &\n col_blk_sizes2enum, enum2col_blk_sizes)\n END IF\n IF (nranks3D .GT. 1) THEN\n CALL dbcsr_mempool_limit_capacity(memtype_mpi_product%pool, &\n capacity=nranks3D - 1)\n END IF\n !\n ! Prepare buffers for computation\n IF (nvirt_k .GT. 1) THEN\n ! Right\n CALL buffer_init(buffers_2%right, data_type, &\n right_max_data_size, &\n right_max_meta_size, &\n num_data=(nbuffers/2), &\n data_memory_type=memtype_abpanel_2, &\n trs_memory_type=memtype_trsbuffer_2)\n ! Left\n CALL buffer_init(buffers_2%left, data_type, &\n left_max_data_size, &\n left_max_meta_size, &\n num_data=(nbuffers/2), &\n data_memory_type=memtype_abpanel_2)\n END IF\n !\n ! Prepare buffers for communication\n ! Right\n CALL buffer_init(buffers_1%right, data_type, &\n right_max_data_size, &\n right_max_meta_size, &\n num_data=(nbuffers - nbuffers/2), &\n data_memory_type=memtype_abpanel_1, &\n trs_memory_type=memtype_trsbuffer_1)\n ! Left\n CALL buffer_init(buffers_1%left, data_type, &\n left_max_data_size, &\n left_max_meta_size, &\n num_data=(nbuffers - nbuffers/2), &\n data_memory_type=memtype_abpanel_1)\n !\n CALL setup_buffers(buffers_1%right, buffers_2%right, &\n right_buffers, nbuffers, &\n right_max_data_size, &\n right_max_meta_size, &\n matrix_right, imgdist_right)\n CALL setup_buffers(buffers_1%left, buffers_2%left, &\n left_buffers, nbuffers, &\n left_max_data_size, &\n left_max_meta_size, &\n matrix_left, imgdist_left)\n !\n ! Setup the receive data pointers\n CALL dbcsr_data_init(data_get)\n CALL dbcsr_data_new(data_get, data_type)\n IF (do_layers3D) THEN\n CALL dbcsr_data_init(data_send)\n CALL dbcsr_data_new(data_send, data_type)\n ! Prepare buffers for 3D reduction\n IF (ALLOCATED(layers_3D_C_reduction%data_red3D)) THEN\n IF (SIZE(layers_3D_C_reduction%data_red3D) .LT. nthreads .OR. &\n layers_3D_C_reduction%data_type .NE. data_type) THEN\n DO myt = 1, SIZE(layers_3D_C_reduction%data_red3D)\n CALL dbcsr_data_release(layers_3D_C_reduction%data_red3D(myt))\n END DO\n DEALLOCATE (layers_3D_C_reduction%data_red3D)\n layers_3D_C_reduction%data_type = 0\n END IF\n END IF\n IF (.NOT. ALLOCATED(layers_3D_C_reduction%data_red3D)) THEN\n ALLOCATE (layers_3D_C_reduction%data_red3D(nthreads))\n DO myt = 1, nthreads\n CALL dbcsr_data_init(layers_3D_C_reduction%data_red3D(myt))\n CALL dbcsr_data_new(layers_3D_C_reduction%data_red3D(myt), data_type)\n END DO\n layers_3D_C_reduction%data_type = data_type\n END IF\n ALLOCATE (product_matrix_size_send(nthreads + 1), product_matrix_size_recv(nthreads + 1))\n ALLOCATE (requests_reduction((nthreads + 1)*2))\n END IF\n !\n ! These values for meta data are used for global values\n right_global_indices(dbcsr_slot_nblkrows_total:dbcsr_slot_nfullcols_local) = &\n (/ &\n dbcsr_nblkrows_total(matrix_right), &\n dbcsr_nblkcols_total(matrix_right), &\n dbcsr_nfullrows_total(matrix_right), &\n dbcsr_nfullcols_total(matrix_right), &\n 0, 0, &\n dbcsr_nfullrows_local(matrix_right), &\n dbcsr_nfullcols_local(matrix_right)/)\n left_global_indices(dbcsr_slot_nblkrows_total:dbcsr_slot_nfullcols_local) = &\n (/ &\n dbcsr_nblkrows_total(matrix_left), &\n dbcsr_nblkcols_total(matrix_left), &\n dbcsr_nfullrows_total(matrix_left), &\n dbcsr_nfullcols_total(matrix_left), &\n 0, 0, &\n dbcsr_nfullrows_local(matrix_left), &\n dbcsr_nfullcols_local(matrix_left)/)\n !\n ! Evaluate sizes for workspaces\n size_guess_init = 1\n IF (.NOT. keep_sparsity .AND. use_acc()) THEN\n size_guess_init = product_matrix_size_guess(matrix_left, matrix_right, product_matrix, &\n left_max_data_size, right_max_data_size, &\n left_col_nimages, right_row_nimages, &\n nthreads)\n END IF\n !\n ! Preallocate norms arrays\n IF (otf_filtering) THEN\n ALLOCATE (right_norms(right_max_meta_size/3, nbuffers_norms))\n ALLOCATE (left_norms(left_max_meta_size/3, nbuffers_norms))\n IF (do_layers3D .AND. nrows3D .GT. 1) THEN\n CALL mp_wait(request_epss)\n DEALLOCATE (row_max_epss)\n END IF\n ELSE\n ! The array must be valid when passed to called subroutines.\n ALLOCATE (right_norms(0, nbuffers_norms))\n ALLOCATE (left_norms(0, nbuffers_norms))\n END IF\n !\n IF (do_layers3D .AND. keep_sparsity) CALL mp_wait(request_keep_sparsity)\n !\n ALLOCATE (product_matrix3D%mats(nrows3D, ncols3D))\n DO icol3D = 1, ncols3D\n DO irow3D = 1, nrows3D\n NULLIFY (product_matrix3D%mats(irow3D, icol3D)%matrix)\n END DO\n END DO\n ALLOCATE (multrec(0:nthreads - 1, nrows3D, ncols3D))\n !\n ! Here is the main loop\n ! 3D multiplication\n !\n CALL timeset(routineN//\"_loop\", handle1)\n ! Take into account when ticks are not multiple of 3D layers\n leftovers_k = MOD(nvirt_k, nranks3D)\n leftovers_first_k = leftovers_k*myrank3D\n leftovers_start_k = 0\n leftovers_shift_k = 0\n IF (leftovers_k .GT. 0) THEN\n ! This is only for nrows3D==ncols3D\n leftovers_start_k = (nvirt_k/nrows3D - 1)*(myrank3D/nrows3D) - &\n (leftovers_k/nrows3D - 1)*(myrank3D/nrows3D)\n leftovers_shift_k = nranks3D*(leftovers_k/nrows3D) - leftovers_k*(MOD(myrank3D, nrows3D) + 1)\n END IF\n ! Ticks bounds\n start_k = (nvirt_k/nranks3D)*myrank3D\n last_step_k = nvirt_k + leftovers_first_k\n final_step_k = last_step_k - nranks3D\n ! Shift layers to keep local layer as the last one in computation\n shift3D = (mycol3D - 1)*nrows3D + &\n (nrows3D - myrow3D + 1)*(1 - MOD(mycol3D, 2)) + myrow3D*MOD(mycol3D, 2)\n iright_buffer_comm = 0\n ileft_buffer_comm = 0\n ALLOCATE (do_comm_right(ncols3D), do_comm_left(nrows3D))\n ALLOCATE (right_vcol(ncols3D), left_vrow(nrows3D))\n ALLOCATE (m_sizes(nrows3D), n_sizes(ncols3D))\n irow3D_send = 0\n icol3D_send = 0\n first_k = .TRUE.\n first_v_k = .TRUE.\n istep_k_comm_curr = leftovers_first_k\n istep_k_comm => istep_k_comm_curr\n grouped_steps_index: DO istep_k = leftovers_first_k, last_step_k\n !\n ! Wait data. Exclude the first iteration.\n wait: IF (istep_k .GT. leftovers_first_k) THEN\n IF (debug_mod) WRITE (*, '(1X,A)') routineN//\" waiting for right and left\"\n right_buffer_p => right_buffers(iright_buffer_calc)\n left_buffer_p => left_buffers(ileft_buffer_calc)\n IF (right_buffer_p%is_comm .AND. left_buffer_p%is_comm) THEN\n ! check if right matrix was already initialized\n IF (.NOT. right_buffer_p%matrix%valid) THEN\n CALL timeset(routineN//\"_comm_right\", handle2)\n CALL mp_waitall(right_buffer_p%get_requests(:))\n CALL timestop(handle2)\n END IF\n ! check if left matrix was already initialized\n IF (.NOT. left_buffer_p%matrix%valid) THEN\n CALL timeset(routineN//\"_comm_left\", handle2)\n CALL mp_waitall(left_buffer_p%get_requests(:))\n CALL timestop(handle2)\n END IF\n END IF\n END IF wait\n !\n ! Matrix transfer. Transfer in all but the last loop iteration.\n shift3D_comm = shift3D\n xfer: DO WHILE (istep_k_comm .LT. last_step_k)\n start_k_ordered = start_k\n istep_k_ordered = istep_k_comm\n ! Put leftovers ticks always first\n IF (leftovers_k .GT. 0) THEN\n IF (istep_k_comm .LT. leftovers_first_k + leftovers_k) THEN\n start_k_ordered = leftovers_start_k\n ELSE\n istep_k_ordered = istep_k_comm + leftovers_shift_k\n END IF\n END IF\n first_k = MOD(istep_k_ordered, nranks3D) .EQ. 0\n ivirt_k = istep_k_ordered/nranks3D\n IF (istep_k_comm .LT. leftovers_first_k + leftovers_k) THEN\n CALL row_col_3D_reflected(irow3D, icol3D, nrows3D, ncols3D, istep_k_ordered)\n ELSE\n CALL row_col_3D_reflected(irow3D, icol3D, nrows3D, ncols3D, shift3D)\n shift3D = shift3D + 1\n END IF\n !\n v_ki = MOD(ivirt_k, min_nimages)\n ! Reset communication flags at the first layer\n IF ((first_k .OR. istep_k_comm .EQ. leftovers_first_k) .AND. &\n istep_k_comm .EQ. istep_k_comm_curr) THEN\n do_comm_right(:) = .TRUE.\n do_comm_left(:) = .TRUE.\n END IF\n ! Take first image global virtual coordinates\n IF (v_ki .EQ. 0) THEN\n IF (istep_k_comm .GE. leftovers_first_k + leftovers_k) first_v_k = .FALSE.\n start_k_ordered = start_k_ordered + ivirt_k\n END IF\n IF (v_ki .EQ. 0 .OR. (first_v_k .AND. min_nimages .GT. 1)) THEN\n CALL image_calculator(imgdist_right, &\n vprow=recv_vrow, &\n vpcol=right_vcol(icol3D), &\n mypcol=mypcol, &\n myvprow=right_myfirstvrow, &\n myvpcol=right_myfirstvcol + (icol3D - 1)*layers_3D_C_reduction%side3D, &\n vprow_shift=start_k_ordered, &\n shifting='R')\n CALL image_calculator(imgdist_left, &\n vprow=left_vrow(irow3D), &\n vpcol=recv_vcol, &\n myprow=myprow, &\n myvprow=left_myfirstvrow + (irow3D - 1)*layers_3D_C_reduction%side3D, &\n myvpcol=left_myfirstvcol, &\n vpcol_shift=start_k_ordered, &\n shifting='L')\n END IF\n !\n ! Set coordinates\n IF (do_square_layers3D) THEN\n ! Use the temporary buffers for the communication of the first tick\n IF (first_k) THEN\n iright_buffer_comm = nbuffers\n ileft_buffer_comm = nbuffers\n ELSE\n iright_buffer_comm = icol3D\n ileft_buffer_comm = irow3D\n END IF\n ELSE\n IF (do_comm_right(icol3D)) THEN\n iright_buffer_comm = MOD(iright_buffer_comm, nbuffers) + 1\n END IF\n IF (do_comm_left(irow3D)) THEN\n ileft_buffer_comm = MOD(ileft_buffer_comm, nbuffers) + 1\n END IF\n END IF\n !\n ! Exit if data are already communicated\n IF (istep_k_comm .NE. istep_k_comm_curr) EXIT\n !\n right_buffer_p => right_buffers(iright_buffer_comm)\n left_buffer_p => left_buffers(ileft_buffer_comm)\n right_buffer_p%coord3D = icol3D\n left_buffer_p%coord3D = irow3D\n !\n ! First row, communicate right matrix\n IF (do_comm_right(icol3D)) THEN\n right_buffer_p%vprow = MOD(recv_vrow + v_ki, right_row_total_nimages)\n right_buffer_p%vpcol = right_vcol(icol3D)\n right_buffer_p%is_comm = .FALSE.\n END IF\n !\n is_not_comm = .TRUE.\n IF (right_images_size_layers3D(imeta, icol3D, right_buffer_p%vprow) .NE. 0) THEN\n ! First col, communicate left matrix\n IF (do_comm_left(irow3D)) THEN\n left_buffer_p%vprow = left_vrow(irow3D)\n left_buffer_p%vpcol = MOD(recv_vcol + v_ki, left_col_total_nimages)\n left_buffer_p%is_comm = .FALSE.\n END IF\n !\n IF (left_images_size_layers3D(imeta, irow3D, left_buffer_p%vpcol) .NE. 0) THEN\n ! Check if data is already communicated\n is_not_comm = do_comm_right(icol3D) .OR. do_comm_left(irow3D)\n IF (is_not_comm) THEN\n ! Right\n IF (do_comm_right(icol3D)) THEN\n IF (use_acc()) THEN\n CALL timeset(routineN//\"_acc_sync_right\", handle2)\n CALL acc_event_synchronize(right_buffer_p%data%d%acc_ready)\n CALL timestop(handle2)\n END IF\n !\n do_comm_right(icol3D) = .FALSE.\n CALL rma_transfer(right_buffer_p%vprow, right_row_nimages, &\n right_images_size_layers3D(:, icol3D, right_buffer_p%vprow), &\n right_displ_layers3D(:, icol3D, right_buffer_p%vprow), &\n right_buffer_p, &\n buffers_win%right%meta_win, buffers_win%right%data_win, &\n data_get, data_type_byte, buffers_win%right, icol3D, ncols3D)\n END IF\n ! Left\n IF (do_comm_left(irow3D)) THEN\n IF (use_acc()) THEN\n CALL timeset(routineN//\"_acc_sync_left\", handle2)\n CALL acc_event_synchronize(left_buffer_p%data%d%acc_ready)\n CALL timestop(handle2)\n END IF\n !\n do_comm_left(irow3D) = .FALSE.\n CALL rma_transfer(left_buffer_p%vpcol, left_col_nimages, &\n left_images_size_layers3D(:, irow3D, left_buffer_p%vpcol), &\n left_displ_layers3D(:, irow3D, left_buffer_p%vpcol), &\n left_buffer_p, &\n buffers_win%left%meta_win, buffers_win%left%data_win, &\n data_get, data_type_byte, buffers_win%left, irow3D, nrows3D)\n END IF\n END IF\n END IF\n END IF\n !\n istep_k_comm_curr = istep_k_comm_curr + 1\n ! Stop looping when data is communicated\n ! Only works for 4 layers\n IF (is_not_comm .OR. nranks3D .NE. 4) THEN\n istep_k_comm => istep_k\n IF ((istep_k_comm + 1) .EQ. istep_k_comm_curr) EXIT\n ! Restore coordinates by looping once again\n shift3D = shift3D_comm\n CYCLE\n END IF\n ! Keep looping until it starts a new communication (only for 4 layers)\n istep_k_comm => istep_k_comm_curr\n END DO xfer\n !\n ! Create matrices and multrec's, only the first occurrence\n IF (.NOT. ASSOCIATED(product_matrix3D%mats(irow3D, icol3D)%matrix)) THEN\n IF (irow3D .EQ. myrow3D .AND. icol3D .EQ. mycol3D) THEN\n product_matrix3D%mats(irow3D, icol3D)%matrix => product_matrix\n ELSE\n ALLOCATE (product_matrix3D%mats(irow3D, icol3D)%matrix)\n IF (keep_sparsity) THEN\n size_guess = product_matrix_meta(product_matrix_meta_displ(irow3D, icol3D) + &\n dbcsr_slot_nze)\n CALL setup_buffer_matrix(product_matrix3D%mats(irow3D, icol3D)%matrix, &\n product_matrix, product_matrix_meta_size(irow3D, icol3D), &\n data_size=size_guess, &\n data_memory_type=memtype_mpi_product)\n product_matrix3D%mats(irow3D, icol3D)% &\n matrix%index(1:product_matrix_meta_size(irow3D, icol3D)) = &\n product_matrix_meta(product_matrix_meta_displ(irow3D, icol3D) + 1: &\n product_matrix_meta_displ(irow3D, icol3D) + &\n product_matrix_meta_size(irow3D, icol3D))\n CALL dbcsr_data_clear(product_matrix3D%mats(irow3D, icol3D)%matrix%data_area, &\n ub=size_guess)\n ELSE\n CALL setup_buffer_matrix(product_matrix3D%mats(irow3D, icol3D)%matrix, &\n product_matrix, data_memory_type=memtype_mpi_product)\n END IF\n product_matrix3D%mats(irow3D, icol3D)%matrix%index(dbcsr_slot_home_prow) = &\n (irow3D - 1)*layers_3D_C_reduction%side3D + myprow\n product_matrix3D%mats(irow3D, icol3D)%matrix%index(dbcsr_slot_home_pcol) = &\n (icol3D - 1)*layers_3D_C_reduction%side3D + mypcol\n CALL dbcsr_reset_locals(product_matrix3D%mats(irow3D, icol3D)%matrix)\n product_matrix3D%mats(irow3D, icol3D)%matrix%nblks = 0\n CALL dbcsr_repoint_index(product_matrix3D%mats(irow3D, icol3D)%matrix)\n END IF\n !\n IF (.NOT. ASSOCIATED(m_sizes(irow3D)%sizes)) THEN\n ALLOCATE (m_sizes(irow3D)%sizes(dbcsr_nblkrows_local(product_matrix3D%mats(irow3D, icol3D)%matrix)))\n CALL local_filter(array_data(product_matrix3D%mats(irow3D, icol3D)%matrix%row_blk_size), &\n array_size(product_matrix3D%mats(irow3D, icol3D)%matrix%local_rows), &\n array_data(product_matrix3D%mats(irow3D, icol3D)%matrix%local_rows), &\n m_sizes(irow3D)%sizes)\n END IF\n IF (.NOT. ASSOCIATED(n_sizes(icol3D)%sizes)) THEN\n ALLOCATE (n_sizes(icol3D)%sizes(dbcsr_nblkcols_local(product_matrix3D%mats(irow3D, icol3D)%matrix)))\n CALL local_filter(array_data(product_matrix3D%mats(irow3D, icol3D)%matrix%col_blk_size), &\n array_size(product_matrix3D%mats(irow3D, icol3D)%matrix%local_cols), &\n array_data(product_matrix3D%mats(irow3D, icol3D)%matrix%local_cols), &\n n_sizes(icol3D)%sizes)\n END IF\n !\n!$OMP PARALLEL DEFAULT(NONE) &\n!$OMP PRIVATE (size_guess, ithread) &\n!$OMP SHARED (product_matrix3D, multrec, &\n!$OMP keep_sparsity, filter_eps, &\n!$OMP product_matrix_epss, &\n!$OMP matrix_right, matrix_left, nthreads, &\n!$OMP irow3D, icol3D, myrow3D, mycol3D, keep_product_data, &\n!$OMP product_matrix_epss_displ, product_matrix_epss_size, &\n!$OMP memtype_product_wm, size_guess_init, nranks3D, m_sizes, n_sizes)\n !\n ! Setup product work areas\n !\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n !\n IF (irow3D .NE. myrow3D .OR. icol3D .NE. mycol3D) THEN\n IF (keep_product_data) THEN\n CALL dbcsr_add_wm_from_matrix(product_matrix3D%mats(irow3D, icol3D)%matrix)\n ELSE\n CALL dbcsr_work_create(product_matrix3D%mats(irow3D, icol3D)%matrix, &\n work_mutable=.FALSE., memory_type=memtype_product_wm(ithread)%p)\n END IF\n!$OMP BARRIER\n END IF\n ! The work arrays have to be setup\n size_guess = product_matrix3D%mats(irow3D, icol3D)%matrix%wms(ithread + 1)%datasize ! Should be minimal\n IF (.NOT. keep_sparsity) THEN\n size_guess = MAX(size_guess, size_guess_init)\n END IF\n CALL dbcsr_data_ensure_size(product_matrix3D%mats(irow3D, icol3D)% &\n matrix%wms(ithread + 1)%data_area, &\n size_guess)\n CALL dbcsr_data_set_size_referenced(product_matrix3D%mats(irow3D, icol3D)% &\n matrix%wms(ithread + 1)%data_area, &\n product_matrix3D%mats(irow3D, icol3D)% &\n matrix%wms(ithread + 1)%datasize)\n CALL ensure_array_size(product_matrix3D%mats(irow3D, icol3D)% &\n matrix%wms(ithread + 1)%row_i, ub=1)\n CALL ensure_array_size(product_matrix3D%mats(irow3D, icol3D)% &\n matrix%wms(ithread + 1)%col_i, ub=1)\n CALL ensure_array_size(product_matrix3D%mats(irow3D, icol3D)% &\n matrix%wms(ithread + 1)%blk_p, ub=1)\n ALLOCATE (multrec(ithread, irow3D, icol3D)%p)\n CALL dbcsr_mm_multrec_init(multrec(ithread, irow3D, icol3D)%p, &\n product=product_matrix3D%mats(irow3D, icol3D)%matrix, &\n keep_sparsity=keep_sparsity, &\n eps=filter_eps, &\n row_max_epss=product_matrix_epss(product_matrix_epss_displ(irow3D) + 1: &\n product_matrix_epss_displ(irow3D) + &\n product_matrix_epss_size(irow3D)), &\n block_estimate=0, &\n right_row_blk_size=dbcsr_row_block_sizes(matrix_right), &\n m_sizes=m_sizes(irow3D)%sizes, n_sizes=n_sizes(icol3D)%sizes, &\n nlayers=nranks3D, &\n keep_product_data=keep_product_data)\n!$OMP END PARALLEL\n !\n product_matrix3D%mats(irow3D, icol3D)%matrix%nblks = 0\n product_matrix3D%mats(irow3D, icol3D)%matrix%nze = 0\n product_matrix3D%mats(irow3D, icol3D)%matrix%row_p(:) = 0\n CALL dbcsr_data_set_size_referenced(product_matrix3D%mats(irow3D, icol3D)%matrix%data_area, 0)\n product_matrix3D%mats(irow3D, icol3D)%matrix%valid = .FALSE.\n END IF\n !\n ! Do the multiplication. Exclude the first iteration.\n calc: IF (istep_k .GT. leftovers_first_k) THEN\n right_buffer_p => right_buffers(iright_buffer_calc)\n left_buffer_p => left_buffers(ileft_buffer_calc)\n irow3D = left_buffer_p%coord3D\n icol3D = right_buffer_p%coord3D\n IF (istep_k .GT. final_step_k) THEN\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (multrec, irow3D, icol3D, irow3D_send, icol3D_send, &\n!$OMP istep_k, final_step_k, product_matrix3D, &\n!$OMP handle2, requests_reduction_size, nthreads, &\n!$OMP product_matrix_meta_send, product_matrix_meta_recv, &\n!$OMP product_matrix_size_send, product_matrix_size_recv, &\n!$OMP buffers_win, data_send, data_get, proc3D_send, proc3D_recv, &\n!$OMP layers_3D_C_reduction, requests_reduction, &\n!$OMP dbcsr_mpi_statistics, data_type_byte) &\n!$OMP PRIVATE (ithread)\n ithread = 0\n!$ ithread = omp_get_thread_num()\n ! Prepare data to send for 3D layer\n IF (istep_k .GT. final_step_k + 1) THEN\n CALL dbcsr_mm_multrec_finalize( &\n multrec(ithread, irow3D_send, icol3D_send)%p, &\n buffers_win%left%meta_red3D)\n!$OMP BARRIER\n!$OMP MASTER\n CALL timeset(routineN//\"_red3D_size\", handle2)\n CALL mp_waitall(requests_reduction_size)\n CALL timestop(handle2)\n CALL ensure_array_size(buffers_win%right%meta_red3D, &\n ub=product_matrix_size_recv(1), &\n nocopy=.TRUE.)\n product_matrix_meta_send => &\n buffers_win%left%meta_red3D(1:product_matrix_size_send(1))\n product_matrix_meta_recv => &\n buffers_win%right%meta_red3D(1:product_matrix_size_recv(1))\n CALL mp_isendrecv(product_matrix_meta_send, proc3D_send, &\n product_matrix_meta_recv, proc3D_recv, &\n layers_3D_C_reduction%grp3D, &\n requests_reduction(1), requests_reduction(2))\n DO myt = 1, nthreads\n CALL dbcsr_data_ensure_size(layers_3D_C_reduction%data_red3D(myt), &\n product_matrix_size_recv(myt + 1), &\n nocopy=.TRUE.)\n CALL dbcsr_data_set_pointer( &\n area=data_send, &\n rsize=product_matrix_size_send(myt + 1), &\n csize=1, &\n pointee=product_matrix3D%mats(irow3D_send, icol3D_send)%matrix%wms(myt)%data_area)\n CALL dbcsr_data_set_pointer( &\n area=data_get, &\n rsize=product_matrix_size_recv(myt + 1), &\n csize=1, &\n pointee=layers_3D_C_reduction%data_red3D(myt))\n CALL dbcsr_isendrecv_any(data_send, proc3D_send, &\n data_get, proc3D_recv, &\n layers_3D_C_reduction%grp3D, &\n requests_reduction(3 + (myt - 1)*2), &\n requests_reduction(4 + (myt - 1)*2))\n CALL count_mpi_statistics(dbcsr_mpi_statistics%data_size(1, :), &\n product_matrix_size_send(myt + 1), &\n data_type_byte, &\n dbcsr_mpi_statistics%data_size_breakdown(:, :, 1))\n END DO\n!$OMP END MASTER\n END IF\n!$OMP END PARALLEL\n END IF\n !\n IF (right_buffer_p%is_comm .AND. left_buffer_p%is_comm) THEN\n iright_buffer_calc = MIN(iright_buffer_calc, nbuffers_norms)\n ileft_buffer_calc = MIN(ileft_buffer_calc, nbuffers_norms)\n ! check if right matrix was already initialized\n IF (.NOT. right_buffer_p%matrix%valid) THEN\n IF (use_acc()) CALL dbcsr_data_host2dev(right_buffer_p%data)\n ! Repoint indices of matrices\n CALL make_meta(right_buffer_p, &\n right_row_total_nimages, &\n right_buffer_p%vprow, &\n right_buffer_p%vpcol, &\n imgdist=imgdist_right, do_merge_rows=.FALSE., &\n global_indices=right_global_indices)\n CALL ensure_array_size(k_sizes, ub=array_size(right_buffer_p%matrix%local_rows))\n CALL local_filter(array_data(right_buffer_p%matrix%row_blk_size), &\n array_size(right_buffer_p%matrix%local_rows), &\n array_data(right_buffer_p%matrix%local_rows), &\n k_sizes)\n IF (otf_filtering) THEN\n CALL calculate_norms(right_buffer_p%matrix, &\n right_norms(:, iright_buffer_calc), &\n k_sizes, n_sizes(icol3D)%sizes)\n END IF\n IF (use_acc()) THEN\n CALL acc_transpose_blocks(right_buffer_p%matrix, &\n right_buffer_p%trs_stackbuf, &\n k_sizes, n_sizes(icol3D)%sizes, &\n row_blk_sizes2enum, enum2row_blk_sizes, &\n col_blk_sizes2enum, enum2col_blk_sizes, &\n noresize=.TRUE.)\n END IF\n END IF\n ! check if left matrix was already initialized\n IF (.NOT. left_buffer_p%matrix%valid) THEN\n IF (use_acc()) CALL dbcsr_data_host2dev(left_buffer_p%data)\n ! Repoint indices of matrices\n CALL make_meta(left_buffer_p, &\n left_col_total_nimages, &\n left_buffer_p%vprow, &\n left_buffer_p%vpcol, &\n imgdist=imgdist_left, do_merge_rows=.TRUE., &\n global_indices=left_global_indices, &\n nthreads=nthreads)\n IF (otf_filtering) THEN\n CALL calculate_norms(left_buffer_p%matrix, &\n left_norms(:, ileft_buffer_calc), &\n m_sizes(irow3D)%sizes, k_sizes)\n END IF\n END IF\n ! Wait for left and right buffers transfer to device before proceeding\n IF (use_acc()) THEN\n CALL timeset(routineN//\"_sync_h2d\", handle2)\n CALL acc_device_synchronize()\n CALL timestop(handle2)\n END IF\n !\n CALL timeset(routineN//\"_multrec\", handle2)\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (left_buffer_p, ileft_buffer_calc, &\n!$OMP right_buffer_p, iright_buffer_calc, &\n!$OMP left_norms,right_norms, &\n!$OMP multrec, irow3D, icol3D, handle2, k_sizes) &\n!$OMP PRIVATE (ithread) &\n!$OMP REDUCTION (+: flop)\n ithread = 0\n!$ ithread = omp_get_thread_num()\n CALL dbcsr_mm_multrec_multiply(multrec(ithread, irow3D, icol3D)%p, &\n left=left_buffer_p%matrix, &\n right=right_buffer_p%matrix, &\n flop=flop, &\n a_norms=left_norms(:, ileft_buffer_calc), &\n b_norms=right_norms(:, iright_buffer_calc), &\n k_sizes=k_sizes)\n!$OMP END PARALLEL\n CALL timestop(handle2)\n END IF\n ! Reduce 3D layers and finalize the local layer\n IF (istep_k .GT. final_step_k) THEN\n ! Wait for the other 3D layers to reduce\n IF (istep_k .GT. final_step_k + 1) THEN\n CALL timeset(routineN//\"_red3D_data\", handle2)\n CALL mp_waitall(requests_reduction)\n CALL timestop(handle2)\n DO myt = 0, nthreads - 1\n DEALLOCATE (multrec(myt, irow3D_send, icol3D_send)%p)\n CALL dbcsr_work_destroy( &\n product_matrix3D%mats(irow3D_send, icol3D_send)%matrix%wms(myt + 1))\n END DO\n DEALLOCATE (product_matrix3D%mats(irow3D_send, icol3D_send)%matrix%wms)\n CALL dbcsr_release(product_matrix3D%mats(irow3D_send, icol3D_send)%matrix)\n END IF\n irow3D_send = irow3D\n icol3D_send = icol3D\n ! Store the initial shift for the recv node\n IF (istep_k .EQ. final_step_k + 1) THEN\n shift3D_recv = shift3D - 4\n END IF\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (multrec, irow3D, icol3D, product_matrix3D, &\n!$OMP memtype_mpi_buffer, nthreads, myt, istep_k, &\n!$OMP irow3D_send, icol3D_send, myrow3D, mycol3D, &\n!$OMP last_step_k, proc3D_send, proc3D_recv, &\n!$OMP product_matrix_size_send, product_matrix_size_recv, &\n!$OMP nrows3D, ncols3D, shift3D_recv, myrank3D, &\n!$OMP layers_3D_C_reduction, requests_reduction_size, &\n!$OMP final_step_k, handle2, buffers_win, g2l_map_rows, g2l_map_cols) &\n!$OMP PRIVATE (ithread) &\n!$OMP REDUCTION (+: flop)\n ithread = 0\n!$ ithread = omp_get_thread_num()\n !\n ! Evaluate the size of layers to send and set the buffers\n IF (irow3D .NE. myrow3D .OR. &\n icol3D .NE. mycol3D) THEN\n CALL dbcsr_mm_multrec_dev2host_init(multrec(ithread, irow3D, icol3D)%p)\n!$OMP ATOMIC\n product_matrix3D%mats(irow3D_send, icol3D_send)%matrix%nblks = &\n product_matrix3D%mats(irow3D_send, icol3D_send)%matrix%nblks + &\n dbcsr_mm_multrec_get_nblks(multrec(ithread, irow3D_send, icol3D_send)%p)\n!$OMP BARRIER\n!$OMP MASTER\n ! First (nthreads+1) positions are reserved for\n ! the offset sizes of each thread for meta\n CALL ensure_array_size(buffers_win%left%meta_red3D, &\n ub=product_matrix3D%mats(irow3D_send, icol3D_send)% &\n matrix%nblks*3 + (nthreads + 1), &\n nocopy=.TRUE.)\n ! Set the offsets\n buffers_win%left%meta_red3D(1) = nthreads + 1\n DO myt = 0, nthreads - 1\n buffers_win%left%meta_red3D(myt + 2) = &\n buffers_win%left%meta_red3D(myt + 1) + &\n dbcsr_mm_multrec_get_nblks(multrec(myt, irow3D_send, icol3D_send)%p)*3\n product_matrix_size_send(myt + 2) = &\n dbcsr_mm_multrec_get_nze(multrec(myt, irow3D_send, icol3D_send)%p)\n END DO\n ! Send/recv data and meta sizes\n product_matrix_size_send(1) = &\n buffers_win%left%meta_red3D(nthreads + 1)\n proc3D_send = (icol3D_send - 1)*nrows3D + irow3D_send - 1\n !\n CALL row_col_3D_reflected(irow3D, icol3D, nrows3D, ncols3D, shift3D_recv)\n shift3D_recv = shift3D_recv - 1\n proc3D_recv = (icol3D - 1)*nrows3D + irow3D - 1\n CALL mp_isendrecv(product_matrix_size_send, proc3D_send, &\n product_matrix_size_recv, proc3D_recv, &\n layers_3D_C_reduction%grp3D, &\n requests_reduction_size(1), &\n requests_reduction_size(2))\n!$OMP END MASTER\n ELSE\n IF (istep_k .NE. last_step_k) &\n DBCSR_ABORT(\"Last layer does not correspond to local layer\")\n END IF\n ! Reduce to the local layer\n IF (istep_k .GT. final_step_k + 1) THEN\n IF (dbcsr_data_get_size_referenced(layers_3D_C_reduction%data_red3D(ithread + 1)) .GT. 0) THEN\n CALL timeset(routineN//\"_red3D\", handle2)\n CALL dbcsr_mm_multrec_red3D(multrec(ithread, myrow3D, mycol3D)%p, &\n buffers_win%right%meta_red3D, &\n layers_3D_C_reduction%data_red3D(ithread + 1), &\n flop, g2l_map_rows, g2l_map_cols)\n CALL timestop(handle2)\n END IF\n END IF\n!$OMP END PARALLEL\n END IF\n END IF calc\n !\n ! Swap temporary buffers for the first tick\n IF (do_square_layers3D .AND. first_k .AND. &\n istep_k .LT. last_step_k) THEN\n iright_buffer_comm = right_buffers(iright_buffer_comm)%coord3D\n ileft_buffer_comm = left_buffers(ileft_buffer_comm)%coord3D\n CALL swap_buffers(right_buffers(iright_buffer_comm), right_buffers(nbuffers))\n CALL swap_buffers(left_buffers(ileft_buffer_comm), left_buffers(nbuffers))\n END IF\n !\n iright_buffer_calc = iright_buffer_comm\n ileft_buffer_calc = ileft_buffer_comm\n END DO grouped_steps_index\n !\n CALL timestop(handle1)\n !\n CALL m_memory(mem)\n max_memory = MAX(max_memory, REAL(mem))\n !\n IF (do_layers3D .AND. keep_sparsity) THEN\n DEALLOCATE (product_matrix_meta_size, product_matrix_meta_displ)\n DEALLOCATE (product_matrix_meta)\n END IF\n DEALLOCATE (right_norms, left_norms)\n DEALLOCATE (product_matrix_epss_size, product_matrix_epss_displ)\n IF (.NOT. otf_filtering .OR. (do_layers3D .AND. nrows3D .GT. 1)) THEN\n DEALLOCATE (product_matrix_epss)\n ELSE\n DEALLOCATE (row_max_epss)\n END IF\n !\n DEALLOCATE (left_images_size, right_images_size)\n NULLIFY (left_images_size, right_images_size)\n DEALLOCATE (left_images_size_layers3D, left_displ_layers3D)\n DEALLOCATE (right_images_size_layers3D, right_displ_layers3D)\n !\n ! Deallocate 3D layers\n IF (do_layers3D) THEN\n DEALLOCATE (product_matrix_size_send, product_matrix_size_recv)\n DEALLOCATE (requests_reduction)\n DO icol3D = 1, ncols3D\n DO irow3D = 1, nrows3D\n IF (irow3D .NE. myrow3D .OR. icol3D .NE. mycol3D) THEN\n DEALLOCATE (product_matrix3D%mats(irow3D, icol3D)%matrix)\n END IF\n END DO\n END DO\n CALL dbcsr_data_clear_pointer(data_send)\n CALL dbcsr_data_release(data_send)\n END IF\n DEALLOCATE (product_matrix3D%mats)\n ! Finalize local layer\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (multrec, myrow3D, mycol3D) &\n!$OMP PRIVATE (ithread)\n ithread = 0\n!$ ithread = omp_get_thread_num()\n CALL dbcsr_mm_multrec_finalize(multrec(ithread, myrow3D, mycol3D)%p)\n DEALLOCATE (multrec(ithread, myrow3D, mycol3D)%p)\n!$OMP END PARALLEL\n DEALLOCATE (multrec)\n DEALLOCATE (g2l_map_rows, g2l_map_cols)\n CALL dbcsr_finalize(product_matrix, reshuffle=PRESENT(filter_eps) .AND. .NOT. keep_sparsity)\n !\n DO irow3D = 1, nrows3D\n DEALLOCATE (m_sizes(irow3D)%sizes)\n END DO\n DEALLOCATE (m_sizes)\n DO icol3D = 1, ncols3D\n DEALLOCATE (n_sizes(icol3D)%sizes)\n END DO\n DEALLOCATE (n_sizes)\n IF (ASSOCIATED(k_sizes)) DEALLOCATE (k_sizes)\n !\n CALL dbcsr_data_clear_pointer(data_get)\n CALL dbcsr_data_release(data_get)\n !\n ! clean-up of communication buffers\n DO v_ki = 1, nbuffers\n CALL dbcsr_data_clear_pointer(left_buffers(v_ki)%data)\n IF (left_buffers(v_ki)%data%d%memory_type%acc_devalloc) THEN\n CALL acc_event_destroy(left_buffers(v_ki)%data%d%acc_ready)\n END IF\n CALL dbcsr_data_release(left_buffers(v_ki)%data)\n NULLIFY (left_buffers(v_ki)%matrix%index)\n CALL dbcsr_release(left_buffers(v_ki)%matrix)\n !\n CALL dbcsr_data_clear_pointer(right_buffers(v_ki)%data)\n IF (right_buffers(v_ki)%data%d%memory_type%acc_devalloc) THEN\n CALL acc_event_destroy(right_buffers(v_ki)%data%d%acc_ready)\n END IF\n CALL dbcsr_data_release(right_buffers(v_ki)%data)\n NULLIFY (right_buffers(v_ki)%matrix%index)\n CALL dbcsr_release(right_buffers(v_ki)%matrix)\n IF (use_acc()) THEN\n CALL dbcsr_data_clear_pointer(right_buffers(v_ki)%trs_stackbuf)\n IF (right_buffers(v_ki)%trs_stackbuf%d%memory_type%acc_devalloc) THEN\n CALL acc_event_destroy(right_buffers(v_ki)%trs_stackbuf%d%acc_ready)\n END IF\n CALL dbcsr_data_release(right_buffers(v_ki)%trs_stackbuf)\n END IF\n END DO\n DEALLOCATE (left_buffers, right_buffers)\n DEALLOCATE (do_comm_left, do_comm_right)\n DEALLOCATE (right_vcol, left_vrow)\n IF (use_acc()) THEN\n DEALLOCATE (row_blk_sizes2enum, enum2row_blk_sizes)\n DEALLOCATE (col_blk_sizes2enum, enum2col_blk_sizes)\n END IF\n !\n IF (debug_mod) THEN\n v_ki = 0\n DO blk = 1, SIZE(product_matrix%blk_p)\n v_ki = MAX(v_ki, ABS(product_matrix%blk_p(blk)))\n END DO\n WRITE (*, *) routineN//\" Actual final size\", &\n LOG(REAL(dbcsr_data_get_size(product_matrix%data_area)))/LOG(10.0), &\n LOG(REAL(v_ki))/LOG(10.0)\n END IF\n !\n CALL timestop(handle)\n END SUBROUTINE multiply_3D\n\n SUBROUTINE win_setup(buffer, do_win_create, request)\n TYPE(dbcsr_buffer), INTENT(INOUT) :: buffer\n LOGICAL, DIMENSION(:), INTENT(INOUT) :: do_win_create\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(len=*), PARAMETER :: routineN = 'win_setup'\n INTEGER :: handle, handle1, myproc\n\n CALL timeset(routineN, handle)\n\n IF (buffer%has_rma_win) THEN\n CALL timeset(routineN//\"_win_check\", handle1)\n CALL mp_wait(request)\n CALL timestop(handle1)\n IF (do_win_create(1)) THEN\n CALL mp_win_unlock_all(buffer%data_win)\n CALL mp_win_free(buffer%data_win)\n END IF\n IF (do_win_create(2)) THEN\n CALL mp_win_unlock_all(buffer%meta_win)\n CALL mp_win_free(buffer%meta_win)\n END IF\n END IF\n CALL dbcsr_data_release(buffer%data_before_resize)\n IF (ASSOCIATED(buffer%meta_before_resize)) THEN\n CALL memory_deallocate(buffer%meta_before_resize, memtype_mpi_buffer)\n NULLIFY (buffer%meta_before_resize)\n END IF\n !\n CALL mp_environ(taskid=myproc, groupid=buffer%subgrp)\n buffer%myproc = myproc\n IF (do_win_create(1)) THEN\n CALL dbcsr_win_create_any(buffer%data, buffer%subgrp, buffer%data_win)\n CALL mp_win_lock_all(buffer%data_win)\n END IF\n IF (do_win_create(2)) THEN\n CALL mp_win_create(buffer%meta, buffer%subgrp, buffer%meta_win)\n CALL mp_win_lock_all(buffer%meta_win)\n END IF\n !\n buffer%has_rma_win = .TRUE.\n CALL timestop(handle)\n END SUBROUTINE win_setup\n\n SUBROUTINE row_col_3D_reflected(irow3D, icol3D, nrows3D, ncols3D, shift3D)\n !! Apply reflected order, i.e. row increasing value for odd col value,\n !! row decreasing value for even col value\n\n INTEGER, INTENT(INOUT) :: irow3D, icol3D\n INTEGER, INTENT(IN) :: nrows3D, ncols3D, shift3D\n\n INTEGER :: odd_or_even\n\n icol3D = MOD(shift3D/nrows3D, ncols3D) + 1\n irow3D = MOD(shift3D, nrows3D)\n odd_or_even = MOD(icol3D, 2)\n irow3D = (nrows3D - irow3D)*(1 - odd_or_even) + (irow3D + 1)*odd_or_even\n END SUBROUTINE row_col_3D_reflected\n\n SUBROUTINE setup_buffers(buffer_1, buffer_2, buffers, nbuffers, data_size, meta_size, matrix, imgdist)\n TYPE(dbcsr_buffer), INTENT(INOUT), TARGET :: buffer_1, buffer_2\n TYPE(dbcsr_buffer), ALLOCATABLE, DIMENSION(:), &\n INTENT(INOUT) :: buffers\n INTEGER, INTENT(IN) :: nbuffers, data_size, meta_size\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n\n INTEGER :: ibuffer, jbuffer\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: meta_p\n LOGICAL :: has_trs_stackbuf\n TYPE(dbcsr_buffer), POINTER :: buffer_p\n\n ALLOCATE (buffers(nbuffers))\n has_trs_stackbuf = dbcsr_data_valid(buffer_1%trs_stackbuf) .OR. dbcsr_data_valid(buffer_2%trs_stackbuf)\n DO ibuffer = 1, nbuffers\n jbuffer = (ibuffer - 1)/2\n IF (MOD(ibuffer, 2) .EQ. 1) THEN\n buffer_p => buffer_1\n ELSE\n buffer_p => buffer_2\n END IF\n ! Use slices for the 3D buffers\n CALL dbcsr_data_init(buffers(ibuffer)%data)\n CALL dbcsr_data_new(buffers(ibuffer)%data, dbcsr_data_get_type(buffer_p%data), &\n memory_type=dbcsr_data_get_memory_type(buffer_p%data))\n IF (buffers(ibuffer)%data%d%memory_type%acc_devalloc) THEN\n CALL acc_event_create(buffers(ibuffer)%data%d%acc_ready)\n END IF\n CALL dbcsr_data_set_pointer( &\n area=buffers(ibuffer)%data, &\n rsize=data_size, &\n csize=1, &\n pointee=buffer_p%data, &\n source_lb=data_size*jbuffer + 1)\n ! Use meta_p pointer to avoid warning target-lifetime\n meta_p => buffer_p%meta(meta_size*jbuffer + 1: &\n meta_size*(jbuffer + 1))\n buffers(ibuffer)%meta => meta_p\n IF (has_trs_stackbuf) THEN\n CALL dbcsr_data_init(buffers(ibuffer)%trs_stackbuf)\n CALL dbcsr_data_new(buffers(ibuffer)%trs_stackbuf, dbcsr_data_get_type(buffer_p%trs_stackbuf), &\n memory_type=dbcsr_data_get_memory_type(buffer_p%trs_stackbuf))\n IF (buffers(ibuffer)%trs_stackbuf%d%memory_type%acc_devalloc) THEN\n CALL acc_event_create(buffers(ibuffer)%trs_stackbuf%d%acc_ready)\n END IF\n CALL dbcsr_data_set_pointer( &\n area=buffers(ibuffer)%trs_stackbuf, &\n rsize=meta_size/3, &\n csize=1, &\n pointee=buffer_p%trs_stackbuf, &\n source_lb=(meta_size/3)*jbuffer + 1)\n END IF\n CALL setup_buffer_matrix_image(buffers(ibuffer)%matrix, imgdist, matrix, &\n buffers(ibuffer)%data, &\n buffers(ibuffer)%meta)\n END DO\n END SUBROUTINE setup_buffers\n\n SUBROUTINE setup_buffer_matrix_image(matrix, imgdist, &\n template_matrix, data_buffer, &\n meta_buffer)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n TYPE(dbcsr_type), INTENT(IN) :: template_matrix\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: data_buffer\n INTEGER, DIMENSION(:), INTENT(IN), TARGET, CONTIGUOUS :: meta_buffer\n\n matrix = dbcsr_type()\n CALL dbcsr_create(matrix, &\n \"Buffer image of \"//template_matrix%name, &\n imgdist%i%main, &\n dbcsr_type_no_symmetry, &\n row_blk_size_obj=template_matrix%row_blk_size, &\n col_blk_size_obj=template_matrix%col_blk_size, &\n data_type=dbcsr_data_get_type(data_buffer), &\n data_buffer=data_buffer, &\n max_rbs=template_matrix%max_rbs, max_cbs=template_matrix%max_cbs, &\n row_blk_offset=template_matrix%row_blk_offset, &\n col_blk_offset=template_matrix%col_blk_offset, &\n index_memory_type=memtype_mpi_buffer, &\n make_index=.FALSE.)\n matrix%index => meta_buffer\n matrix%negate_real = template_matrix%negate_real\n matrix%negate_imaginary = template_matrix%negate_imaginary\n matrix%local_indexing = .TRUE.\n matrix%list_indexing = .TRUE.\n END SUBROUTINE setup_buffer_matrix_image\n\n SUBROUTINE swap_buffers(buffers_1, buffers_2)\n TYPE(dbcsr_buffer), INTENT(INOUT) :: buffers_1, buffers_2\n\n TYPE(dbcsr_buffer) :: tmp\n\n tmp = buffers_1\n buffers_1 = buffers_2\n buffers_2 = tmp\n END SUBROUTINE swap_buffers\n\n SUBROUTINE rma_transfer(recv_vproc, nimages, &\n size_layers3D, displ_layers3D, &\n buffer, &\n meta_win, data_win, &\n data_get, data_type_byte, &\n buffer_win, layer3D, nlayers3D)\n INTEGER, INTENT(IN) :: recv_vproc, nimages\n INTEGER, DIMENSION(:), INTENT(IN) :: size_layers3D, displ_layers3D\n TYPE(dbcsr_buffer), INTENT(INOUT) :: buffer\n TYPE(mp_win_type), INTENT(IN) :: meta_win, data_win\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: data_get\n INTEGER, INTENT(IN) :: data_type_byte\n TYPE(dbcsr_buffer), INTENT(IN) :: buffer_win\n INTEGER, INTENT(IN) :: layer3D, nlayers3D\n\n INTEGER :: recv_proc\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: meta_get\n\n buffer%is_comm = .TRUE.\n buffer%get_requests(:) = mp_request_null\n recv_proc = (recv_vproc/nimages)*nlayers3D + layer3D - 1\n !\n meta_get => buffer%meta(dbcsr_num_slots + 1:dbcsr_num_slots + size_layers3D(imeta))\n buffer%meta_size = size_layers3D(imeta)\n CALL mp_rget(meta_get, recv_proc, &\n meta_win, &\n buffer_win%meta, &\n buffer_win%myproc, &\n disp=displ_layers3D(imeta), &\n request=buffer%get_requests(1))\n CALL dbcsr_data_set_pointer( &\n area=data_get, &\n rsize=size_layers3D(idata), &\n csize=1, &\n pointee=buffer%data, &\n source_lb=1)\n CALL dbcsr_rget_any(data_get, recv_proc, &\n data_win, &\n buffer_win%data, &\n buffer_win%myproc, &\n disp=displ_layers3D(idata), &\n request=buffer%get_requests(2))\n CALL count_mpi_statistics(dbcsr_mpi_statistics%data_size(1, :), &\n size_layers3D(idata), &\n data_type_byte, &\n dbcsr_mpi_statistics%data_size_breakdown(:, :, 1))\n dbcsr_mpi_statistics%nexchanged = dbcsr_mpi_statistics%nexchanged + 1\n !\n ! Set the referenced sizes to the actual data moved via MPI\n CALL dbcsr_data_set_size_referenced(buffer%data, size_layers3D(idata))\n buffer%matrix%valid = .FALSE.\n END SUBROUTINE rma_transfer\n\n SUBROUTINE setup_rec_index_images(meta_buffer, img_nblks_rows, img_nblks_cols, &\n refs_size, refs_displ, size_index, has_threads)\n INTEGER, DIMENSION(:), INTENT(INOUT) :: meta_buffer\n INTEGER, DIMENSION(:), INTENT(IN) :: img_nblks_rows, img_nblks_cols, &\n refs_size, refs_displ\n INTEGER, INTENT(IN) :: size_index\n LOGICAL, INTENT(IN) :: has_threads\n\n CHARACTER(len=*), PARAMETER :: routineN = 'setup_rec_index_images'\n\n INTEGER :: handle, in, nblkcols_local, &\n nblkrows_local, t_f, t_l, t_size\n\n!$ INTEGER :: ithread\n\n CALL timeset(routineN, handle)\n IF (has_threads) THEN\n nblkrows_local = img_nblks_rows(1)\n ELSE\n nblkcols_local = img_nblks_cols(1)\n END IF\n !\n DO in = 1, SIZE(refs_size)\n IF (refs_size(in) .EQ. 0) CYCLE\n ! Number of blocks\n t_size = (refs_size(in) - size_index)/3\n IF (has_threads) THEN\n nblkcols_local = img_nblks_cols(in)\n ELSE\n nblkrows_local = img_nblks_rows(in)\n END IF\n t_f = 1\n t_l = t_size\n!$OMP PARALLEL IF (has_threads) DEFAULT (NONE) &\n!$OMP PRIVATE (ithread) &\n!$OMP FIRSTPRIVATE (t_f, t_l, t_size) &\n!$OMP SHARED (meta_buffer, in, has_threads, refs_displ, &\n!$OMP size_index, nblkrows_local, nblkcols_local)\n!$ ithread = OMP_GET_THREAD_NUM() + 1\n!$ IF (has_threads) THEN\n!$ t_f = meta_buffer(refs_displ(in) + ithread) + 1\n!$ t_l = meta_buffer(refs_displ(in) + ithread + 1)\n!$ END IF\n t_size = t_l - t_f + 1\n IF (t_size .GT. 0) THEN\n CALL rec_sort_index(1, nblkrows_local, &\n 1, nblkcols_local, &\n t_size, &\n meta_buffer(refs_displ(in) + size_index + t_f*3 - 2: &\n refs_displ(in) + size_index + t_l*3), &\n 0)\n END IF\n!$OMP END PARALLEL\n END DO\n CALL timestop(handle)\n END SUBROUTINE setup_rec_index_images\n\n SUBROUTINE buffer_init(buffer, data_type, &\n !! Init buffer\n data_size, meta_size, &\n num_data, &\n data_memory_type, trs_memory_type)\n TYPE(dbcsr_buffer), INTENT(INOUT) :: buffer\n INTEGER, INTENT(IN) :: data_type, data_size, meta_size\n INTEGER, INTENT(IN), OPTIONAL :: num_data\n TYPE(dbcsr_memtype_type), INTENT(IN) :: data_memory_type\n TYPE(dbcsr_memtype_type), INTENT(IN), OPTIONAL :: trs_memory_type\n\n INTEGER :: my_num_data\n LOGICAL :: new_trs_stackbuf\n\n my_num_data = 1\n IF (PRESENT(num_data)) THEN\n my_num_data = num_data\n ELSE\n IF (dbcsr_data_valid(buffer%data_before_resize) .OR. ASSOCIATED(buffer%meta_before_resize)) &\n DBCSR_ABORT(\"Previous data area already initialized.\")\n CALL dbcsr_data_init(buffer%data_before_resize)\n CALL dbcsr_data_new(buffer%data_before_resize, data_type, memory_type=data_memory_type)\n END IF\n new_trs_stackbuf = PRESENT(trs_memory_type) .AND. use_acc()\n !\n IF (buffer%is_valid) THEN\n ! Invalid buffers if data_type is different\n IF (dbcsr_data_get_type(buffer%data) .NE. data_type) THEN\n CALL dbcsr_data_release(buffer%data)\n IF (new_trs_stackbuf) THEN\n CALL dbcsr_data_release(buffer%trs_stackbuf)\n END IF\n buffer%is_valid = .FALSE.\n END IF\n END IF\n !\n IF (.NOT. buffer%is_valid) THEN\n ! First initialization\n CALL dbcsr_data_init(buffer%data)\n CALL dbcsr_data_new(buffer%data, data_type=data_type, &\n data_size=data_size*my_num_data, memory_type=data_memory_type)\n CALL dbcsr_data_set_size_referenced(buffer%data, data_size*my_num_data)\n IF (new_trs_stackbuf) THEN\n CALL dbcsr_data_init(buffer%trs_stackbuf)\n CALL dbcsr_data_new(buffer%trs_stackbuf, &\n data_type=dbcsr_type_int_4, data_size=(meta_size/3)*my_num_data, &\n memory_type=trs_memory_type)\n END IF\n buffer%is_valid = .TRUE.\n ELSE\n IF (PRESENT(num_data)) THEN\n CALL dbcsr_data_ensure_size(buffer%data, data_size*my_num_data, nocopy=.TRUE.)\n IF (new_trs_stackbuf) THEN\n CALL dbcsr_data_ensure_size(buffer%trs_stackbuf, (meta_size/3)*my_num_data, nocopy=.TRUE.)\n END IF\n ELSE\n ! Case for MPI windows\n ! data_before_resize keeps the pointer to previous data in the case of reallocation\n CALL dbcsr_data_ensure_size(buffer%data, data_size, nocopy=.TRUE., &\n area_resize=buffer%data_before_resize)\n END IF\n END IF\n !\n IF (PRESENT(num_data)) THEN\n CALL ensure_array_size(buffer%meta, ub=meta_size*my_num_data, nocopy=.TRUE., &\n memory_type=memtype_mpi_buffer)\n ELSE\n ! Case for MPI windows\n ! meta_before_resize keeps the pointer to previous meta in the case of reallocation\n CALL ensure_array_size(buffer%meta, array_resize=buffer%meta_before_resize, &\n ub=meta_size, nocopy=.TRUE., &\n memory_type=memtype_mpi_buffer)\n END IF\n !\n buffer%is_comm = .FALSE.\n END SUBROUTINE buffer_init\n\n SUBROUTINE buffers_release()\n !! Release all buffers\n IF (request_sync_mult .NE. mp_request_null) CALL mp_wait(request_sync_mult)\n request_sync_mult = mp_request_null\n CALL buffer_release(buffers_1%right)\n CALL buffer_release(buffers_1%left)\n CALL buffer_release(buffers_2%right)\n CALL buffer_release(buffers_2%left)\n CALL buffer_release(buffers_win%right)\n CALL buffer_release(buffers_win%left)\n !\n IF (dbcsr_data_valid(make_buffers_data_send)) CALL dbcsr_data_release(make_buffers_data_send)\n IF (dbcsr_data_valid(make_buffers_data_recv)) CALL dbcsr_data_release(make_buffers_data_recv)\n IF (ASSOCIATED(make_buffers_meta_send)) CALL memory_deallocate(make_buffers_meta_send, memtype_mpi_buffer)\n IF (ASSOCIATED(make_buffers_meta_recv)) CALL memory_deallocate(make_buffers_meta_recv, memtype_mpi_buffer)\n END SUBROUTINE buffers_release\n\n SUBROUTINE buffer_release(buffer)\n !! Release buffer\n TYPE(dbcsr_buffer), INTENT(INOUT) :: buffer\n\n IF (buffer%has_rma_win) THEN\n CALL mp_win_unlock_all(buffer%data_win)\n CALL mp_win_free(buffer%data_win)\n CALL mp_win_unlock_all(buffer%meta_win)\n CALL mp_win_free(buffer%meta_win)\n buffer%has_rma_win = .FALSE.\n buffer%grp = mp_comm_null\n IF (buffer%subgrp .NE. mp_comm_null .AND. buffer%num_layers_3D .GT. 1) &\n CALL mp_comm_free(buffer%subgrp)\n buffer%subgrp = mp_comm_null\n buffer%num_layers_3D = 1\n END IF\n !\n IF (buffer%is_valid) THEN\n CALL dbcsr_data_release(buffer%data)\n IF (dbcsr_data_valid(buffer%trs_stackbuf)) THEN\n CALL dbcsr_data_release(buffer%trs_stackbuf)\n END IF\n IF (dbcsr_data_valid(buffer%data_before_resize)) THEN\n CALL dbcsr_data_release(buffer%data_before_resize)\n END IF\n buffer%is_valid = .FALSE.\n END IF\n IF (ASSOCIATED(buffer%meta)) THEN\n CALL memory_deallocate(buffer%meta, memtype_mpi_buffer)\n NULLIFY (buffer%meta)\n END IF\n IF (ASSOCIATED(buffer%meta_before_resize)) THEN\n CALL memory_deallocate(buffer%meta_before_resize, memtype_mpi_buffer)\n NULLIFY (buffer%meta_before_resize)\n END IF\n IF (ASSOCIATED(buffer%meta_red3D)) THEN\n CALL memory_deallocate(buffer%meta_red3D, memtype_mpi_buffer)\n NULLIFY (buffer%meta_red3D)\n END IF\n END SUBROUTINE buffer_release\n\n SUBROUTINE make_meta(buffer, ntotal_images, &\n !! Create meta indices\n vprow, vpcol, &\n imgdist, do_merge_rows, &\n global_indices, &\n nthreads)\n TYPE(dbcsr_buffer), INTENT(INOUT) :: buffer\n INTEGER, INTENT(IN) :: ntotal_images, vprow, vpcol\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n LOGICAL, INTENT(IN) :: do_merge_rows\n INTEGER, DIMENSION(:), INTENT(IN) :: global_indices\n INTEGER, INTENT(IN), OPTIONAL :: nthreads\n\n INTEGER :: size_index\n\n buffer%matrix%index(dbcsr_slot_size) = &\n buffer%meta_size + dbcsr_num_slots\n size_index = 0\n IF (PRESENT(nthreads)) THEN\n!$ size_index = nthreads + 1\n END IF\n buffer%matrix%index(dbcsr_slot_nblks) = &\n (buffer%meta_size - size_index)/3\n buffer%matrix%index(dbcsr_slot_nze) = &\n dbcsr_data_get_size_referenced(buffer%data)\n buffer%matrix%index(dbcsr_slot_dense) = 0\n buffer%matrix%index(dbcsr_slot_nblkrows_total:dbcsr_slot_nfullcols_local) = &\n global_indices(:)\n buffer%matrix%index(dbcsr_slot_type:dbcsr_num_slots) = 0\n ! Virtual coords\n IF (do_merge_rows) THEN\n buffer%matrix%index(dbcsr_slot_home_vprow) = vprow\n buffer%matrix%index(dbcsr_slot_home_vpcol) = MOD(vpcol, ntotal_images)\n ELSE\n buffer%matrix%index(dbcsr_slot_home_vprow) = MOD(vprow, ntotal_images)\n buffer%matrix%index(dbcsr_slot_home_vpcol) = vpcol\n END IF\n buffer%matrix%index(dbcsr_slot_row_p) = 1\n buffer%matrix%index(dbcsr_slot_col_i) = 1\n buffer%matrix%index(dbcsr_slot_blk_p) = 1\n ! thr_c\n size_index = dbcsr_num_slots\n!$ IF (PRESENT(nthreads)) THEN\n!$ size_index = size_index + nthreads + 1\n!$ buffer%matrix%index(dbcsr_slot_thr_c) = dbcsr_num_slots + 1\n!$ buffer%matrix%index(dbcsr_slot_thr_c + 1) = size_index\n!$ END IF\n buffer%matrix%index(dbcsr_slot_coo_l) = size_index + 1\n buffer%matrix%index(dbcsr_num_slots) = buffer%matrix%index(dbcsr_slot_size)\n !\n ! Reset\n CALL dbcsr_reset_vlocals(buffer%matrix, imgdist)\n !\n ! Repoint index\n buffer%matrix%nblks = 0\n buffer%matrix%nze = 0\n CALL dbcsr_repoint_index(buffer%matrix)\n buffer%matrix%valid = .TRUE.\n END SUBROUTINE make_meta\n\n SUBROUTINE remap_layers3D(refs_size, refs_size_layers3D, refs_displ_layers3D, &\n !! Remap the 4-rank array in a 3-rank array by introducing the virtual coordinate\n data_size, meta_size)\n INTEGER, DIMENSION(:, :, :, :), INTENT(IN), &\n CONTIGUOUS, POINTER :: refs_size\n INTEGER, DIMENSION(:, :, :), INTENT(OUT), &\n CONTIGUOUS, POINTER :: refs_size_layers3D, refs_displ_layers3D\n INTEGER, INTENT(OUT) :: data_size, meta_size\n\n INTEGER :: ilayer, image, iproc, nimages, &\n nlayers3D, nprocs\n\n nimages = SIZE(refs_size, 2)\n nlayers3D = SIZE(refs_size, 3)\n nprocs = SIZE(refs_size, 4)\n !\n ALLOCATE (refs_size_layers3D(idata:imeta, nlayers3D, 0:nimages*nprocs - 1))\n ALLOCATE (refs_displ_layers3D(idata:imeta, nlayers3D, 0:nimages*nprocs - 1))\n data_size = 0; meta_size = 0\n !\n!$OMP PARALLEL DO DEFAULT (NONE) &\n!$OMP SHARED (nprocs, nimages, nlayers3D, &\n!$OMP refs_size_layers3D, refs_displ_layers3D, refs_size) &\n!$OMP PRIVATE (iproc,image,ilayer) &\n!$OMP REDUCTION (MAX : data_size, meta_size)\n DO iproc = 0, nprocs - 1\n DO ilayer = 1, nlayers3D\n DO image = 1, nimages\n refs_size_layers3D(:, ilayer, image + iproc*nimages - 1) = refs_size(:, image, ilayer, iproc)\n data_size = MAX(data_size, refs_size(idata, image, ilayer, iproc))\n meta_size = MAX(meta_size, refs_size(imeta, image, ilayer, iproc))\n END DO\n refs_displ_layers3D(:, ilayer, iproc*nimages) = 0\n DO image = 1, nimages - 1\n refs_displ_layers3D(:, ilayer, image + iproc*nimages) = &\n refs_displ_layers3D(:, ilayer, image + iproc*nimages - 1) + refs_size(:, image, ilayer, iproc)\n END DO\n END DO\n END DO\n!$OMP END PARALLEL DO\n END SUBROUTINE remap_layers3D\n\n PURE FUNCTION get_max_layers_3D()\n INTEGER :: get_max_layers_3D\n\n get_max_layers_3D = layers_3D_C_reduction%max_num_layers_3D\n\n END FUNCTION get_max_layers_3D\n\nEND MODULE dbcsr_mm_3d\n" }, { "path": "src/mm/dbcsr_mm_accdrv.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_accdrv\n !! Fourth layer of the dbcsr matrix-matrix multiplication.\n !! It hides the differences between performing calculations on the\n !! accelerator device or on the CPU.\n !! Modification history:\n !! - 2010-02-23 Moved from dbcsr_operations\n !! - 2011-11 Moved parameter-stack processing routines to\n !! dbcsr_mm_methods.\n !! - 2013-01 extensive refactoring (Ole Schuett)\n !! - 2014-04 generalized into acc-framework (Ole Schuett)\n\n USE dbcsr_acc_devmem, ONLY: acc_devmem_allocate_bytes, &\n acc_devmem_allocated, &\n acc_devmem_deallocate, &\n acc_devmem_host2dev, &\n acc_devmem_setzero_bytes, &\n acc_devmem_type\n USE dbcsr_acc_event, ONLY: acc_event_create, &\n acc_event_destroy, &\n acc_event_query, &\n acc_event_record, &\n acc_event_type, &\n acc_stream_wait_event\n USE dbcsr_acc_hostmem, ONLY: acc_hostmem_allocate, &\n acc_hostmem_deallocate\n USE dbcsr_acc_operations, ONLY: dbcsr_acc_do_mm_stack\n USE dbcsr_acc_stream, ONLY: acc_stream_associated, &\n acc_stream_create, &\n acc_stream_destroy, &\n acc_stream_synchronize, &\n acc_stream_type\n USE dbcsr_block_operations, ONLY: block_add\n USE dbcsr_config, ONLY: dbcsr_cfg, &\n default_resize_factor\n USE dbcsr_data_methods, ONLY: dbcsr_data_dev2host, &\n dbcsr_data_ensure_size, &\n dbcsr_data_get_size, &\n dbcsr_data_get_type, &\n dbcsr_data_new, &\n dbcsr_data_release\n USE dbcsr_kinds, ONLY: default_string_length, &\n int_4, &\n int_4_size, &\n int_8\n USE dbcsr_mem_methods, ONLY: dbcsr_mempool_destruct, &\n dbcsr_mempool_limit_capacity, &\n dbcsr_memtype_setup\n USE dbcsr_mm_types, ONLY: dbcsr_ps_acc_width, &\n dbcsr_ps_width, &\n stack_descriptor_type\n USE dbcsr_toollib, ONLY: sort\n USE dbcsr_types, ONLY: dbcsr_data_area_type, &\n dbcsr_data_obj, &\n dbcsr_memtype_type, &\n dbcsr_type, &\n dbcsr_work_type\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_max_threads, omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_accdrv'\n\n LOGICAL, PARAMETER, PRIVATE :: careful_mod = .FALSE.\n\n! **************************************************************************************************\n TYPE dbcsr_mm_accdrv_type\n PRIVATE\n TYPE(dbcsr_work_type), POINTER :: product_wm => Null()\n TYPE(dbcsr_data_obj) :: c_buffer = dbcsr_data_obj()\n LOGICAL :: c_area_copy = .TRUE.\n LOGICAL :: keep_product_data = .TRUE.\n LOGICAL :: do_gpu_c_redux = .FALSE.\n INTEGER :: nlayers = 1\n END TYPE dbcsr_mm_accdrv_type\n\n! **************************************************************************************************\n\n PUBLIC :: dbcsr_mm_accdrv_type\n PUBLIC :: dbcsr_mm_accdrv_lib_init, dbcsr_mm_accdrv_lib_finalize\n PUBLIC :: dbcsr_mm_accdrv_barrier\n PUBLIC :: dbcsr_mm_accdrv_init, dbcsr_mm_accdrv_finalize\n PUBLIC :: dbcsr_mm_accdrv_process\n PUBLIC :: dbcsr_mm_accdrv_dev2host_init\n\n ! ===== Global Accelerator Memory =====\n ! Allocating memory on the device and host-pinned is slow.\n ! Therefore, the memory is allocated once and stored in global variables.\n\n TYPE stack_buffer_type\n TYPE(acc_devmem_type) :: devmem = acc_devmem_type()\n INTEGER, DIMENSION(:, :), POINTER :: hostmem => Null()\n TYPE(acc_event_type) :: ready = acc_event_type()\n TYPE(acc_event_type) :: calculated = acc_event_type()\n TYPE(acc_stream_type) :: stream = acc_stream_type()\n END TYPE stack_buffer_type\n\n TYPE thread_private_type\n TYPE(stack_buffer_type), DIMENSION(:), POINTER :: stack_buffers => Null()\n TYPE(dbcsr_memtype_type) :: memtype_cbuffer = dbcsr_memtype_type()\n ! ensure that array-elements are on different cache lines\n INTEGER(kind=int_4), DIMENSION(64) :: padding = -1_int_4\n END TYPE thread_private_type\n\n TYPE(thread_private_type), SAVE, DIMENSION(:), ALLOCATABLE, TARGET :: all_thread_privates\n TYPE(acc_stream_type), SAVE, DIMENSION(:), POINTER :: thread_streams => Null()\n\nCONTAINS\n\n SUBROUTINE dbcsr_mm_accdrv_lib_init()\n !! Initialize the library\n INTEGER :: nthreads\n\n nthreads = 1\n!$ nthreads = OMP_GET_NUM_THREADS()\n\n!$OMP MASTER\n ALLOCATE (all_thread_privates(0:nthreads - 1))\n!$OMP END MASTER\n!$OMP BARRIER\n END SUBROUTINE dbcsr_mm_accdrv_lib_init\n\n SUBROUTINE dbcsr_mm_accdrv_lib_finalize()\n !! Finalize the library\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_accdrv_lib_finalize'\n\n INTEGER :: error_handle, ithread\n TYPE(thread_private_type), POINTER :: thread_privates\n\n CALL timeset(routineN, error_handle)\n\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n thread_privates => all_thread_privates(ithread)\n\n IF (ASSOCIATED(thread_privates%stack_buffers)) &\n CALL deallocate_stackbuffers()\n\n IF (ASSOCIATED(thread_privates%memtype_cbuffer%pool)) &\n CALL dbcsr_mempool_destruct(thread_privates%memtype_cbuffer%pool)\n\n!$OMP BARRIER\n!$OMP MASTER\n DEALLOCATE (all_thread_privates)\n!$OMP END MASTER\n\n !How much memory is still allocated on the card?\n !istat = dbcsr_acc_dev_mem_info(mem_free, mem_avail)\n !WRITE (*,*) \"after finalize acc mem: \",mem_free, mem_avail, istat\n\n CALL deallocate_streams()\n\n CALL timestop(error_handle)\n\n END SUBROUTINE dbcsr_mm_accdrv_lib_finalize\n\n SUBROUTINE dbcsr_mm_accdrv_init(this, product_wm, nlayers, keep_product_data)\n !! Initializes a multiplication cycle for new set of C-blocks.\n TYPE(dbcsr_mm_accdrv_type), INTENT(INOUT) :: this\n TYPE(dbcsr_work_type), POINTER :: product_wm\n INTEGER, OPTIONAL :: nlayers\n LOGICAL, INTENT(IN) :: keep_product_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_accdrv_init'\n\n INTEGER :: handle, ithread, my_nlayers\n TYPE(dbcsr_data_obj) :: c_area\n TYPE(thread_private_type), POINTER :: thread_privates\n\n CALL timeset(routineN, handle)\n\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n thread_privates => all_thread_privates(ithread)\n\n ! Setup global data which is reused in between multiplications\n !------------------------------------------------------------------------\n CALL setup_streams()\n CALL setup_stackbuffers()\n\n !Each thread has its own memtype with its own mempool\n CALL dbcsr_memtype_setup(thread_privates%memtype_cbuffer, has_pool=.TRUE., acc_hostalloc=.TRUE., &\n acc_devalloc=.TRUE., acc_stream=thread_streams(ithread + 1))\n my_nlayers = 1\n IF (PRESENT(nlayers)) my_nlayers = nlayers\n this%nlayers = my_nlayers\n CALL dbcsr_mempool_limit_capacity(thread_privates%memtype_cbuffer%pool, capacity=my_nlayers)\n\n ! Setup things for this particular multiplication\n !------------------------------------------------------------------------\n this%keep_product_data = keep_product_data\n this%do_gpu_c_redux = .FALSE.\n this%product_wm => product_wm\n c_area = this%product_wm%data_area\n\n CALL dbcsr_data_new(this%c_buffer, data_type=dbcsr_data_get_type(c_area), &\n data_size=dbcsr_data_get_size(c_area), memory_type=thread_privates%memtype_cbuffer)\n\n CALL acc_devmem_setzero_bytes(this%c_buffer%d%acc_devmem, &\n stream=this%c_buffer%d%memory_type%acc_stream)\n\n CALL acc_event_record(this%c_buffer%d%acc_ready, &\n stream=this%c_buffer%d%memory_type%acc_stream)\n\n CALL timestop(handle)\n END SUBROUTINE dbcsr_mm_accdrv_init\n\n SUBROUTINE setup_streams()\n !! Helper routine used by dbcsr_mm_accdrv_init()\n INTEGER :: nthreads\n\n nthreads = 1\n!$ nthreads = OMP_GET_MAX_THREADS()\n\n!$OMP MASTER\n CALL stream_array_force_size(thread_streams, \"Calc stream\", n=nthreads)\n!$OMP END MASTER\n! Other threads have to wait until streams are created\n!$OMP BARRIER\n\n END SUBROUTINE setup_streams\n\n SUBROUTINE deallocate_streams()\n !! Helper routine used by setup_streams() and dbcsr_mm_accdrv_lib_finalize()\n\n!$OMP MASTER\n CALL stream_array_force_size(thread_streams, \"Calc stream\", n=0)\n!$OMP END MASTER\n\n END SUBROUTINE deallocate_streams\n\n SUBROUTINE stream_array_force_size(streams, basename, n, events, priority)\n !! Helper routine\n TYPE(acc_stream_type), DIMENSION(:), POINTER :: streams\n CHARACTER(len=*), INTENT(IN) :: basename\n INTEGER, INTENT(IN) :: n\n TYPE(acc_event_type), DIMENSION(:), OPTIONAL, &\n POINTER :: events\n INTEGER, INTENT(IN), OPTIONAL :: priority\n\n CHARACTER(len=default_string_length) :: name\n INTEGER :: i\n\n IF (ASSOCIATED(streams)) THEN\n IF (SIZE(streams) /= n) THEN\n DO i = 1, SIZE(streams)\n CALL acc_stream_destroy(streams(i))\n IF (PRESENT(events)) CALL acc_event_destroy(events(i))\n END DO\n DEALLOCATE (streams)\n IF (PRESENT(events)) DEALLOCATE (events)\n END IF\n END IF\n\n IF (.NOT. ASSOCIATED(streams) .AND. n > 0) THEN\n ALLOCATE (streams(n))\n IF (PRESENT(events)) ALLOCATE (events(n))\n DO i = 1, SIZE(streams)\n WRITE (name, \"(A,I3)\") TRIM(basename), i\n CALL acc_stream_create(streams(i), name=TRIM(name), priority=priority)\n IF (PRESENT(events)) CALL acc_event_create(events(i))\n END DO\n END IF\n END SUBROUTINE stream_array_force_size\n\n SUBROUTINE setup_stackbuffers()\n !! Helper routine used by dbcsr_mm_accdrv_init()\n INTEGER :: i, ithread, &\n my_thread_buffers\n TYPE(thread_private_type), POINTER :: thread_privates\n\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n thread_privates => all_thread_privates(ithread)\n my_thread_buffers = dbcsr_cfg%accdrv_thread_buffers%val\n\n IF (ASSOCIATED(thread_privates%stack_buffers)) THEN\n IF (SIZE(thread_privates%stack_buffers) /= my_thread_buffers) &\n CALL deallocate_stackbuffers()\n END IF\n\n IF (.NOT. ASSOCIATED(thread_privates%stack_buffers)) THEN\n ALLOCATE (thread_privates%stack_buffers(my_thread_buffers))\n DO i = 1, my_thread_buffers\n CALL acc_devmem_allocate_bytes(thread_privates%stack_buffers(i)%devmem, &\n int_4_size*dbcsr_ps_acc_width*dbcsr_cfg%mm_stack_size%val)\n thread_privates%stack_buffers(i)%stream = thread_streams(ithread + 1)\n CALL acc_hostmem_allocate(thread_privates%stack_buffers(i)%hostmem, &\n dbcsr_ps_acc_width, dbcsr_cfg%mm_stack_size%val, thread_privates%stack_buffers(i)%stream)\n CALL acc_event_create(thread_privates%stack_buffers(i)%ready)\n CALL acc_event_create(thread_privates%stack_buffers(i)%calculated)\n END DO\n END IF\n END SUBROUTINE setup_stackbuffers\n\n SUBROUTINE deallocate_stackbuffers()\n !! Helper routine used by setup_stackbuffers() and dbcsr_mm_accdrv_lib_finalize()\n\n INTEGER :: i, ithread\n TYPE(stack_buffer_type), DIMENSION(:), POINTER :: stack_buffers\n\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n stack_buffers => all_thread_privates(ithread)%stack_buffers\n\n DO i = 1, SIZE(stack_buffers)\n CALL acc_devmem_deallocate(stack_buffers(i)%devmem)\n CALL acc_hostmem_deallocate(stack_buffers(i)%hostmem, stack_buffers(i)%stream)\n CALL acc_event_destroy(stack_buffers(i)%ready)\n CALL acc_event_destroy(stack_buffers(i)%calculated)\n END DO\n DEALLOCATE (stack_buffers)\n END SUBROUTINE deallocate_stackbuffers\n\n SUBROUTINE dbcsr_mm_accdrv_dev2host_init(this)\n !! Finalizes a multiplication cycle for a set of C-blocks.\n TYPE(dbcsr_mm_accdrv_type), INTENT(INOUT) :: this\n\n! Transfer C-data from device to host and adding it to host's result\n\n IF (this%c_area_copy) THEN\n CALL dbcsr_data_dev2host(this%c_buffer)\n this%c_area_copy = .FALSE.\n END IF\n END SUBROUTINE dbcsr_mm_accdrv_dev2host_init\n\n SUBROUTINE dbcsr_mm_accdrv_finalize(this)\n !! Finalizes a multiplication cycle for a set of C-blocks.\n TYPE(dbcsr_mm_accdrv_type), INTENT(INOUT) :: this\n\n TYPE(dbcsr_data_obj) :: c_area\n\n! Transfer C-data from device to host and adding it to host's result\n\n IF (this%c_area_copy) THEN\n CALL dbcsr_data_dev2host(this%c_buffer)\n END IF\n CALL acc_stream_synchronize(this%c_buffer%d%memory_type%acc_stream)\n\n c_area = this%product_wm%data_area\n IF (this%keep_product_data .OR. this%do_gpu_c_redux .OR. this%nlayers .GT. 1) THEN\n CALL block_add(c_area, this%c_buffer)\n CALL dbcsr_data_release(this%c_buffer)\n ELSE\n CALL dbcsr_data_release(this%product_wm%data_area)\n this%product_wm%data_area = this%c_buffer\n END IF\n\n END SUBROUTINE dbcsr_mm_accdrv_finalize\n\n SUBROUTINE stack_sort(params_in, params_out, stack_size)\n !! Sort stack entries with respect to the c_id.\n INTEGER, INTENT(IN) :: stack_size\n INTEGER, &\n DIMENSION(dbcsr_ps_acc_width, stack_size), &\n INTENT(OUT) :: params_out\n INTEGER, DIMENSION(dbcsr_ps_width, stack_size), &\n INTENT(IN) :: params_in\n\n INTEGER :: i\n INTEGER, DIMENSION(stack_size) :: c_sort, c_sort_ind\n\n! sort by the C-blocks\n\n c_sort = params_in(6, :stack_size)\n CALL sort(c_sort, stack_size, c_sort_ind)\n DO i = 1, stack_size\n params_out(1:3, i) = params_in(4:6, c_sort_ind(i))\n END DO\n\n END SUBROUTINE stack_sort\n\n SUBROUTINE stack_binning(params_in, params_out, stack_size)\n !! Roughly order stacks with a cheaper Binning-scheme by Peter Messmer\n INTEGER, INTENT(IN) :: stack_size\n INTEGER, &\n DIMENSION(dbcsr_ps_acc_width, stack_size), &\n INTENT(OUT) :: params_out\n INTEGER, DIMENSION(dbcsr_ps_width, stack_size), &\n INTENT(IN) :: params_in\n\n INTEGER :: bin_id, i, top\n INTEGER, DIMENSION(dbcsr_cfg%accdrv_binning_nbins%val) :: bin_top\n INTEGER, DIMENSION(dbcsr_ps_acc_width) :: val\n INTEGER, DIMENSION(dbcsr_ps_acc_width, dbcsr_cfg% &\n accdrv_binning_binsize%val, dbcsr_cfg% &\n accdrv_binning_nbins%val) :: bin_arr\n\n bin_top = 1\n top = 1\n DO i = 1, stack_size\n val(1:3) = params_in(4:6, i)\n bin_id = 1 + INT(MODULO(INT(val(3)*(val(3) + 3), KIND=int_8), &\n INT(dbcsr_cfg%accdrv_binning_nbins%val, KIND=int_8)))\n IF (bin_top(bin_id) > dbcsr_cfg%accdrv_binning_binsize%val) THEN\n params_out(1:3, top:top + bin_top(bin_id) - 2) = bin_arr(1:3, 1:bin_top(bin_id) - 1, bin_id)\n top = top + bin_top(bin_id) - 1\n bin_top(bin_id) = 1\n END IF\n bin_arr(1:3, bin_top(bin_id), bin_id) = val(1:3)\n bin_top(bin_id) = bin_top(bin_id) + 1\n END DO\n DO i = 1, dbcsr_cfg%accdrv_binning_nbins%val\n IF (bin_top(i) > 1) THEN\n params_out(1:3, top:top + bin_top(i) - 2) = bin_arr(1:3, 1:bin_top(i) - 1, i)\n top = top + bin_top(i) - 1\n END IF\n END DO\n\n END SUBROUTINE stack_binning\n\n SUBROUTINE dbcsr_mm_accdrv_barrier()\n INTEGER :: ithread\n\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n CALL acc_stream_synchronize(thread_streams(ithread + 1))\n END SUBROUTINE dbcsr_mm_accdrv_barrier\n\n SUBROUTINE dbcsr_mm_accdrv_process(this, left, right, params, stack_size, &\n !! Processes a given stack using accelerator\n stack_descr, success, generated_acc_untuned)\n TYPE(dbcsr_mm_accdrv_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n INTEGER, INTENT(IN) :: stack_size\n INTEGER, DIMENSION(dbcsr_ps_width, stack_size), &\n INTENT(INOUT) :: params\n TYPE(stack_descriptor_type), INTENT(IN) :: stack_descr\n LOGICAL, INTENT(OUT) :: success, generated_acc_untuned\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_accdrv_process'\n\n INTEGER :: error_handle, error_handle2, &\n flop_per_entry, i, ithread, &\n stacked_datasize\n INTEGER, DIMENSION(:, :), POINTER :: stackbuf_hostmem_cropped\n TYPE(dbcsr_data_area_type), POINTER :: a_area, b_area, c_area\n TYPE(stack_buffer_type), DIMENSION(:), POINTER :: stack_buffers\n TYPE(stack_buffer_type), POINTER :: stackbuf\n\n NULLIFY (stackbuf, stackbuf_hostmem_cropped, stack_buffers)\n\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n stack_buffers => all_thread_privates(ithread)%stack_buffers\n\n CALL timeset(routineN, error_handle)\n\n DO WHILE (.NOT. ASSOCIATED(stackbuf))\n DO i = 1, SIZE(stack_buffers)\n IF (acc_event_query(stack_buffers(i)%calculated)) THEN\n stackbuf => stack_buffers(i)\n EXIT\n END IF\n END DO\n END DO\n\n stacked_datasize = this%product_wm%datasize\n CALL dbcsr_data_ensure_size(this%c_buffer, stacked_datasize, &\n factor=default_resize_factor, zero_pad=.TRUE.)\n\n !===========================================================================\n ! sort the stack. Since this costs CPU time, only a good idea if the CPUs\n ! are not too busy, or device gain is very large\n CALL timeset(routineN//\"_sort\", error_handle2)\n flop_per_entry = 2*stack_descr%max_m*stack_descr%max_n*stack_descr%max_k\n\n IF (dbcsr_cfg%accdrv_stack_sort%val) THEN\n IF (flop_per_entry > dbcsr_cfg%accdrv_min_flop_sort%val) THEN\n CALL stack_sort(params, stackbuf%hostmem, stack_size)\n ELSE\n CALL stack_binning(params, stackbuf%hostmem, stack_size)\n END IF\n ELSE\n DO i = 1, stack_size\n stackbuf%hostmem(1:3, i) = params(4:6, i)\n END DO\n END IF\n\n CALL timestop(error_handle2)\n\n a_area => left%data_area%d\n b_area => right%data_area%d\n c_area => this%c_buffer%d\n\n !WRITE (*,*) \"dbcsr_mm_accdrv_process: a_area%memory_type \", a_area%memory_type\n !WRITE (*,*) \"dbcsr_mm_accdrv_process: b_area%memory_type \", b_area%memory_type\n !WRITE (*,*) \"dbcsr_mm_accdrv_process: c_area%memory_type \", c_area%memory_type\n\n IF (.NOT. acc_devmem_allocated(a_area%acc_devmem)) &\n DBCSR_ABORT(\"dbcsr_mm_accdrv_process: a_area%acc_devmem not allocated\")\n IF (.NOT. acc_devmem_allocated(b_area%acc_devmem)) &\n DBCSR_ABORT(\"dbcsr_mm_accdrv_process: b_area%acc_devmem not allocated\")\n IF (.NOT. acc_devmem_allocated(c_area%acc_devmem)) &\n DBCSR_ABORT(\"dbcsr_mm_accdrv_process: c_area%acc_devmem not allocated\")\n\n ! start uploading stacks; a, b, and c are ready by now\n stackbuf_hostmem_cropped => stackbuf%hostmem(:, 1:stack_size)\n CALL acc_devmem_host2dev(stackbuf%devmem, hostmem=stackbuf_hostmem_cropped, stream=stackbuf%stream)\n CALL acc_event_record(stackbuf%ready, stream=stackbuf%stream)\n\n ! We have to sync for the C area for the cuBLAS dgemm, used for large kernels\n CALL acc_stream_wait_event(c_area%memory_type%acc_stream, stackbuf%ready)\n\n CALL dbcsr_acc_do_mm_stack(params, stackbuf%devmem, stack_size, c_area%data_type, &\n a_data=a_area%acc_devmem, &\n b_data=b_area%acc_devmem, &\n c_data=c_area%acc_devmem, &\n m_max=stack_descr%max_m, &\n n_max=stack_descr%max_n, &\n k_max=stack_descr%max_k, &\n def_mnk=stack_descr%defined_mnk, &\n stack_stream=stackbuf%stream, &\n c_stream=c_area%memory_type%acc_stream, &\n success=success, &\n generated_acc_untuned=generated_acc_untuned)\n\n IF (success) THEN\n CALL acc_event_record(stackbuf%calculated, stream=stackbuf%stream)\n ELSE\n IF (dbcsr_cfg%use_acc_g2g%val) THEN\n DBCSR_ABORT(\"MPI G2G requires all kernels to be evaluated on the GPU!\")\n END IF\n this%do_gpu_c_redux = .TRUE.\n END IF\n\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_mm_accdrv_process\n\nEND MODULE dbcsr_mm_accdrv\n" }, { "path": "src/mm/dbcsr_mm_cannon.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! Copyright (C) 2022 Advanced Micro Devices, Inc. - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_cannon\n !! First layer of the dbcsr matrix-matrix multiplication.\n !! It performs the MPI parallelization according to Cannon's algorithm.\n !! Modification history:\n !! - 2010-02-23 Moved from dbcsr_operations\n !! - 2011-11 Moved parameter-stack processing routines to\n !! dbcsr_mm_methods.\n !! - 2013-01 reorganized code (Ole Schuett)\n\n USE dbcsr_acc_event, ONLY: acc_event_synchronize\n USE dbcsr_acc_device, ONLY: acc_device_synchronize\n USE dbcsr_acc_stream, ONLY: acc_stream_synchronize\n USE dbcsr_acc_devmem, ONLY: acc_devmem_cptr\n USE dbcsr_array_types, ONLY: array_data, &\n array_exists, &\n array_i1d_obj, &\n array_size\n USE dbcsr_block_operations, ONLY: dbcsr_block_conjg, &\n dbcsr_block_copy_aa, &\n dbcsr_block_real_neg, &\n dbcsr_block_scale, &\n dbcsr_block_transpose_aa, &\n dbcsr_block_transpose\n USE dbcsr_config, ONLY: dbcsr_cfg, &\n use_acc\n USE dbcsr_data_methods, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_ensure_size, dbcsr_data_get_size, &\n dbcsr_data_get_size_referenced, dbcsr_data_hold, dbcsr_data_host2dev, dbcsr_data_init, &\n dbcsr_data_new, dbcsr_data_release, dbcsr_data_set_pointer, &\n dbcsr_data_set_size_referenced, dbcsr_scalar_are_equal, dbcsr_scalar_negative, &\n dbcsr_scalar_one, dbcsr_get_data_p_s, dbcsr_get_data_p_d, dbcsr_get_data_p_c, dbcsr_get_data_p_z\n USE dbcsr_data_types, ONLY: dbcsr_datatype_sizeof\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_col_dist, &\n dbcsr_distribution_has_threads, &\n dbcsr_distribution_max_col_dist, &\n dbcsr_distribution_max_row_dist, &\n dbcsr_distribution_mp, &\n dbcsr_distribution_row_dist\n USE dbcsr_index_operations, ONLY: dbcsr_count_row_index, &\n dbcsr_has_local_row_index, &\n dbcsr_index_prune_deleted, &\n dbcsr_make_index_list, &\n dbcsr_make_index_local_row, &\n dbcsr_repoint_index\n USE dbcsr_io, ONLY: dbcsr_print\n USE dbcsr_iterator_operations, ONLY: dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block, &\n dbcsr_iterator_start, &\n dbcsr_iterator_stop\n USE dbcsr_mem_methods, ONLY: dbcsr_mempool_limit_capacity\n USE dbcsr_methods, ONLY: &\n dbcsr_destroy_array, dbcsr_distribution, dbcsr_get_data_type, dbcsr_get_index_memory_type, &\n dbcsr_has_symmetry, dbcsr_image_dist_hold, dbcsr_image_dist_init, &\n dbcsr_image_dist_release, dbcsr_max_col_size, dbcsr_max_row_size, dbcsr_nblkcols_local, &\n dbcsr_nblkrows_local, dbcsr_nblkrows_total, dbcsr_release, dbcsr_valid_index\n USE dbcsr_mm_common, ONLY: &\n acc_transpose_blocks, calculate_norms, count_mpi_statistics, dbcsr_mm_multrec_type_p, &\n dbcsr_mpi_statistics, enumerate_blk_sizes, huge_norm, local_filter, max_memory, &\n memtype_abpanel_1, memtype_abpanel_2, memtype_mpi_buffer, memtype_trsbuffer_1, &\n memtype_normsbuf, memtype_offsetsbuf, memtype_nelemsbuf, acc_calculate_norms, &\n memtype_trsbuffer_2, product_matrix_size_guess, rec_sort_index, setup_buffer_matrix\n USE dbcsr_mm_dist_operations, ONLY: dbcsr_get_local_vcols, &\n dbcsr_get_local_vrows, &\n dbcsr_reset_vlocals, &\n image_calculator\n USE dbcsr_mm_multrec, ONLY: dbcsr_mm_multrec_finalize, &\n dbcsr_mm_multrec_init, &\n dbcsr_mm_multrec_multiply\n USE dbcsr_mp_methods, ONLY: &\n dbcsr_mp_grid_setup, dbcsr_mp_group, dbcsr_mp_has_subgroups, dbcsr_mp_my_col_group, &\n dbcsr_mp_my_row_group, dbcsr_mp_mynode, dbcsr_mp_mypcol, dbcsr_mp_myprow, dbcsr_mp_npcols, &\n dbcsr_mp_nprows, dbcsr_mp_numnodes, dbcsr_mp_pgrid\n USE dbcsr_mp_operations, ONLY: dbcsr_irecv_any, &\n dbcsr_isend_any, &\n hybrid_alltoall_any, &\n hybrid_alltoall_i1\n USE dbcsr_operations, ONLY: dbcsr_copy, &\n dbcsr_crop_matrix\n USE dbcsr_ptr_util, ONLY: ensure_array_size\n USE dbcsr_transformations, ONLY: dbcsr_make_dense_low\n USE dbcsr_types, ONLY: &\n dbcsr_2d_array_type, dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_imagedistribution_obj, &\n dbcsr_iterator, dbcsr_memtype_type, dbcsr_meta_size, dbcsr_mp_obj, dbcsr_scalar_type, &\n dbcsr_slot_home_coli, dbcsr_slot_home_pcol, dbcsr_slot_home_prow, dbcsr_slot_home_rowi, &\n dbcsr_slot_home_vpcol, dbcsr_slot_home_vprow, dbcsr_slot_size, dbcsr_type, &\n dbcsr_type_complex_4, dbcsr_type_complex_8, dbcsr_type_int_4, dbcsr_type_no_symmetry, &\n dbcsr_type_real_4, dbcsr_type_real_8\n USE dbcsr_dist_util, ONLY: count_bins, &\n dbcsr_checksum\n USE dbcsr_work_operations, ONLY: dbcsr_create, &\n dbcsr_special_finalize, &\n dbcsr_work_create\n USE dbcsr_kinds, ONLY: dp, &\n int_8, &\n real_4, &\n real_8, &\n sp\n USE dbcsr_machine, ONLY: default_output_unit, &\n m_memory\n USE dbcsr_mpiwrap, ONLY: mp_allgather, &\n mp_alltoall, &\n mp_environ, &\n mp_irecv, &\n mp_isend, &\n mp_request_null, &\n mp_sum, &\n mp_testany, &\n mp_waitall, &\n mp_comm_type, &\n mp_request_type\n\n USE ISO_C_BINDING, ONLY: C_F_POINTER\n\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_cannon'\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n INTERFACE dbcsr_switch\n MODULE PROCEDURE dbcsr_switch_sets\n MODULE PROCEDURE dbcsr_switch_d_ptrs\n END INTERFACE\n\n PUBLIC :: multiply_cannon, make_m2s, &\n multiply_cannon_g2g\n\nCONTAINS\n\n SUBROUTINE make_m2s(matrix, m2s, rdist, dense_rdist, &\n !! Make images from the matrix (left or right)\n use_dense_mult, ab_dense, predistribute, &\n f_k, l_k, f_row, l_row, f_col, l_col, &\n row_blk_size, col_blk_size, &\n k_vmap, m_map, n_map, &\n alpha)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n TYPE(dbcsr_2d_array_type), INTENT(OUT), POINTER :: m2s\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: rdist, dense_rdist\n LOGICAL, INTENT(IN) :: use_dense_mult, ab_dense\n CHARACTER, INTENT(IN) :: predistribute\n INTEGER, INTENT(IN) :: f_k, l_k, f_row, l_row, f_col, l_col\n TYPE(array_i1d_obj), INTENT(INOUT) :: row_blk_size, col_blk_size\n TYPE(array_i1d_obj), INTENT(IN) :: k_vmap, m_map, n_map\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: alpha\n\n CHARACTER(len=*), PARAMETER :: routineN = 'make_m2s'\n INTEGER :: handle, i, im, j, jm\n INTEGER, DIMENSION(4) :: f_crop\n LOGICAL :: do_scale, thread_redist\n TYPE(array_i1d_obj) :: col_map, row_map\n TYPE(dbcsr_type) :: dense_template, matrix_tmp\n\n CALL timeset(routineN, handle)\n ALLOCATE (m2s)\n do_scale = .FALSE.\n IF (PRESENT(alpha)) THEN\n IF (.NOT. dbcsr_scalar_are_equal(alpha, dbcsr_scalar_one(alpha%data_type))) THEN\n do_scale = .TRUE.\n END IF\n END IF\n\n IF (do_scale) THEN\n ! Copy and scale matrix if alpha is not 1.\n CALL dbcsr_make_images(matrix, m2s, rdist, &\n predistribute=predistribute, &\n no_copy_data=use_dense_mult, scale_value=alpha)\n ELSE\n CALL dbcsr_make_images(matrix, m2s, rdist, &\n predistribute=predistribute, &\n no_copy_data=use_dense_mult)\n END IF\n\n im = SIZE(m2s%mats, 1)\n jm = SIZE(m2s%mats, 2)\n SELECT CASE (predistribute)\n CASE ('L')\n f_crop = (/f_row, l_row, f_k, l_k/)\n row_map = m_map\n col_map = k_vmap\n thread_redist = .TRUE.\n CASE default\n f_crop = (/f_k, l_k, f_col, l_col/)\n row_map = k_vmap\n col_map = n_map\n thread_redist = .FALSE.\n END SELECT\n\n ! Post-processing of images.\n DO i = 1, im\n DO j = 1, jm\n CALL dbcsr_reset_vlocals(m2s%mats(i, j), rdist)\n ! Crop if necessary\n IF (ANY(f_crop .NE. 0)) THEN\n matrix_tmp = dbcsr_type()\n CALL dbcsr_crop_matrix(matrix_tmp, m2s%mats(i, j), &\n full_row_bounds=f_crop(1:2), &\n full_column_bounds=f_crop(3:4), &\n shallow_data=.FALSE.)\n CALL dbcsr_release(m2s%mats(i, j))\n CALL dbcsr_copy(m2s%mats(i, j), matrix_tmp, shallow_data=.TRUE.)\n CALL dbcsr_release(matrix_tmp)\n CALL dbcsr_reset_vlocals(m2s%mats(i, j), rdist)\n END IF\n END DO\n END DO\n\n IF (ab_dense) THEN\n dense_template = dbcsr_type()\n CALL dbcsr_create(dense_template, template=matrix, &\n dist=dense_rdist%i%main, &\n row_blk_size_obj=row_blk_size, col_blk_size_obj=col_blk_size)\n CALL dbcsr_make_images_dense(m2s, dense_rdist, &\n row_map=row_map, col_map=col_map, &\n join_cols=use_dense_mult, join_rows=ab_dense, &\n new_template=dense_template)\n CALL dbcsr_image_dist_release(rdist)\n rdist = dense_rdist\n CALL dbcsr_image_dist_hold(rdist)\n DO i = 1, im\n DO j = 1, jm\n CALL dbcsr_reset_vlocals(m2s%mats(i, j), rdist)\n END DO\n END DO\n END IF\n\n DO i = 1, im\n DO j = 1, jm\n ! Convert to local-row index\n CALL dbcsr_make_index_local_row(m2s%mats(i, j))\n ! Convert to list index\n CALL dbcsr_make_index_list(m2s%mats(i, j), thread_redist=thread_redist)\n END DO\n END DO\n\n IF (ab_dense) THEN\n CALL dbcsr_image_dist_release(dense_rdist)\n CALL dbcsr_release(dense_template)\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE make_m2s\n\n SUBROUTINE dbcsr_make_images(source, normalized, target_image_dist, &\n predistribute, no_copy_data, scale_value)\n !! Creates row and column images of a matrix.\n\n TYPE(dbcsr_type), INTENT(IN) :: source\n !! input matrix\n TYPE(dbcsr_2d_array_type), INTENT(OUT) :: normalized\n !! image array of the normalized matrix\n TYPE(dbcsr_imagedistribution_obj), INTENT(IN) :: target_image_dist\n !! normalize to this image distribution\n CHARACTER, INTENT(IN), OPTIONAL :: predistribute\n !! predistribute data for multiplication\n LOGICAL, INTENT(IN), OPTIONAL :: no_copy_data\n !! try to not merge data at the end\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale_value\n !! scale with this value\n\n! ---------------------------------------------------------------------------\n\n IF (dbcsr_cfg%use_mpi_rma%val) &\n DBCSR_ABORT(\"RMA algo not supported here!\")\n IF (.NOT. dbcsr_valid_index(source)) &\n DBCSR_ABORT(\"Matrix not initialized.\")\n CALL make_images(source, normalized, &\n target_image_dist, desymmetrize=dbcsr_has_symmetry(source), &\n predistribute=predistribute, &\n no_copy_data=no_copy_data, &\n scale_value=scale_value)\n normalized%image_dist = target_image_dist\n CALL dbcsr_image_dist_hold(normalized%image_dist)\n END SUBROUTINE dbcsr_make_images\n\n SUBROUTINE make_images(ism, ums, target_imgdist, desymmetrize, predistribute, &\n no_copy_data, scale_value)\n !! Makes column-based and row-based images of a matrix.\n\n TYPE(dbcsr_type), INTENT(IN) :: ism\n !! input symmetric matrix\n TYPE(dbcsr_2d_array_type), INTENT(OUT) :: ums\n !! normalized matrices\n TYPE(dbcsr_imagedistribution_obj), INTENT(IN) :: target_imgdist\n !! image distribution to normalize to\n LOGICAL, INTENT(IN), OPTIONAL :: desymmetrize\n !! desymmetrize a symmetric matrix\n CHARACTER, INTENT(IN), OPTIONAL :: predistribute\n !! predistribute data for multiplication\n LOGICAL, INTENT(IN), OPTIONAL :: no_copy_data\n !! try to not merge data at the end\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale_value\n !! scale with this value\n\n CHARACTER(len=*), PARAMETER :: routineN = 'make_images'\n INTEGER, PARAMETER :: metalen = 5\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n CHARACTER :: predist_type, predist_type_fwd\n INTEGER :: blk, blk_l, blk_p, bp, col, col_img, col_size, coli, data_type, dst_p, handle, &\n handle2, ithread, ncol_images, nrow_images, nsymmetries, nthreads, numproc, &\n nze, pcol, prow, row, row_img, row_size, rowi, sd_pos, sm_pos, src_p, stored_blk_p, &\n stored_col, stored_row, symmetry_i, tr_col_size, tr_row_size, vcol, vrow\n INTEGER, ALLOCATABLE, DIMENSION(:) :: myt_sdp, myt_smp, rd_disp, recv_meta, &\n rm_disp, sd_disp, sdp, send_meta, &\n sm_disp, smp\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: all_total_send_offset, blk_ps, blks, &\n myt_total_send_count, &\n total_recv_count, total_send_count\n INTEGER, ALLOCATABLE, DIMENSION(:, :, :, :) :: myt_send_count, recv_count, send_count\n INTEGER, DIMENSION(:), CONTIGUOUS, POINTER :: col_blk_size, col_dist, col_img_dist, &\n row_blk_size, row_dist, row_img_dist\n INTEGER, DIMENSION(:, :), CONTIGUOUS, POINTER :: blacs2mpi\n LOGICAL :: nocopy, tr\n TYPE(dbcsr_data_obj) :: received_data_area, recv_data_area, &\n send_data_area\n TYPE(dbcsr_distribution_obj) :: old_dist, target_dist\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_memtype_type) :: data_memory_type\n TYPE(dbcsr_mp_obj) :: mp_obj\n TYPE(dbcsr_scalar_type) :: scale_neg_one\n TYPE(dbcsr_type) :: sm\n TYPE(mp_comm_type) :: mp_group\n\n! ---------------------------------------------------------------------------\n! Check input matrix\n! Set convenient variables to access input matrix info\n!\n\n CALL timeset(routineN, handle)\n nocopy = .FALSE.\n IF (PRESENT(no_copy_data)) nocopy = no_copy_data\n sm = ism\n nsymmetries = 1\n IF (PRESENT(desymmetrize)) THEN\n IF (desymmetrize .AND. sm%symmetry) THEN\n nsymmetries = 2\n END IF\n END IF\n SELECT CASE (predistribute)\n CASE ('L', 'l')\n predist_type = 'L'\n predist_type_fwd = 'l'\n CASE ('R', 'r')\n predist_type = 'R'\n predist_type_fwd = 'r'\n CASE default\n DBCSR_ABORT(\"Incorrect pre-shift specifier.\")\n END SELECT\n data_type = sm%data_type\n IF (data_type .NE. dbcsr_type_real_8 .AND. &\n data_type .NE. dbcsr_type_real_4 .AND. &\n data_type .NE. dbcsr_type_complex_8 .AND. &\n data_type .NE. dbcsr_type_complex_4) &\n DBCSR_ABORT(\"Invalid data type.\")\n scale_neg_one = dbcsr_scalar_negative(dbcsr_scalar_one(data_type))\n row_blk_size => array_data(sm%row_blk_size)\n col_blk_size => array_data(sm%col_blk_size)\n old_dist = dbcsr_distribution(ism)\n target_dist = target_imgdist%i%main\n row_dist => dbcsr_distribution_row_dist(target_dist)\n col_dist => dbcsr_distribution_col_dist(target_dist)\n IF (sm%symmetry) THEN\n IF (SIZE(row_dist) .NE. SIZE(col_dist)) &\n DBCSR_WARN('Unequal row and column distributions for symmetric matrix.')\n END IF\n nrow_images = target_imgdist%i%row_decimation\n IF (nrow_images .GT. 1) THEN\n row_img_dist => array_data(target_imgdist%i%row_image)\n ELSE\n NULLIFY (row_img_dist)\n END IF\n ncol_images = target_imgdist%i%col_decimation\n IF (ncol_images .GT. 1) THEN\n col_img_dist => array_data(target_imgdist%i%col_image)\n ELSE\n NULLIFY (col_img_dist)\n END IF\n mp_obj = dbcsr_distribution_mp(target_dist)\n blacs2mpi => dbcsr_mp_pgrid(mp_obj)\n numproc = dbcsr_mp_numnodes(mp_obj)\n mp_group = dbcsr_mp_group(mp_obj)\n IF (dbcsr_distribution_max_row_dist(old_dist) .GT. UBOUND(blacs2mpi, 1)) &\n DBCSR_ABORT('Row distribution references unexistent processor rows')\n IF (dbg) THEN\n IF (dbcsr_distribution_max_row_dist(old_dist) .NE. UBOUND(blacs2mpi, 1)) &\n DBCSR_WARN('Range of row distribution not equal to processor rows')\n END IF\n IF (dbcsr_distribution_max_col_dist(old_dist) .GT. UBOUND(blacs2mpi, 2)) &\n DBCSR_ABORT('Col distribution references unexistent processor cols')\n IF (dbg) THEN\n IF (dbcsr_distribution_max_col_dist(old_dist) .NE. UBOUND(blacs2mpi, 2)) &\n DBCSR_WARN('Range of col distribution not equal to processor cols')\n END IF\n\n ! Check threads configuration\n!$ IF (.NOT. dbcsr_distribution_has_threads(old_dist)) &\n!$ DBCSR_ABORT(\"Thread distribution not defined\")\n\n ! Allocate shared temporary buffers\n !\n ALLOCATE (send_count(2, nrow_images, ncol_images, 0:numproc - 1)); send_count = 0\n ALLOCATE (recv_count(2, nrow_images, ncol_images, 0:numproc - 1))\n ALLOCATE (total_send_count(2, 0:numproc - 1)); total_send_count = 0\n ALLOCATE (total_recv_count(2, 0:numproc - 1))\n ALLOCATE (sdp(0:numproc - 1))\n ALLOCATE (smp(0:numproc - 1))\n ALLOCATE (sd_disp(0:numproc - 1)); sd_disp(0) = 1\n ALLOCATE (sm_disp(0:numproc - 1)); sm_disp(0) = 1\n ALLOCATE (rd_disp(0:numproc - 1)); rd_disp(0) = 1\n ALLOCATE (rm_disp(0:numproc - 1)); rm_disp(0) = 1\n ALLOCATE (all_total_send_offset(2, 0:numproc - 1))\n ALLOCATE (blk_ps(nrow_images, ncol_images)); blk_ps = 1\n ALLOCATE (blks(nrow_images, ncol_images)); blks = 1\n !\n ! Allocate and init mats\n !\n ALLOCATE (ums%mats(nrow_images, ncol_images))\n data_memory_type = memtype_abpanel_1\n DO row_img = 1, nrow_images\n DO col_img = 1, ncol_images\n ums%mats(row_img, col_img) = dbcsr_type()\n CALL dbcsr_create(ums%mats(row_img, col_img), \"imaged \"//sm%name, &\n target_dist, &\n dbcsr_type_no_symmetry, &\n row_blk_size_obj=sm%row_blk_size, col_blk_size_obj=sm%col_blk_size, &\n nze=0, data_type=data_type, &\n max_rbs=sm%max_rbs, max_cbs=sm%max_cbs, &\n row_blk_offset=sm%row_blk_offset, col_blk_offset=sm%col_blk_offset, &\n thread_dist=sm%dist, &\n data_memory_type=data_memory_type, &\n index_memory_type=memtype_mpi_buffer)\n ums%mats(row_img, col_img)%negate_real = sm%negate_real\n ums%mats(row_img, col_img)%negate_imaginary = sm%negate_imaginary\n END DO\n END DO\n\n nthreads = 1\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP PRIVATE (ithread, symmetry_i, row_img, col_img, &\n!$OMP myt_send_count, myt_total_send_count, &\n!$OMP iter, row, col, blk, row_size, col_size, stored_row, stored_col, &\n!$OMP prow, pcol, rowi, coli, vrow, vcol, dst_p, nze, myt_smp, myt_sdp, &\n!$OMP blk_p, bp, sd_pos, sm_pos,tr, &\n!$OMP tr_row_size, tr_col_size) &\n!$OMP SHARED (nthreads, nsymmetries, row_img_dist, col_img_dist, &\n!$OMP nrow_images, ncol_images, numproc, scale_value, &\n!$OMP ums, sm, ism, target_imgdist, row_dist, col_dist,&\n!$OMP predist_type_fwd, blacs2mpi, row_blk_size, col_blk_size, &\n!$OMP send_count, recv_count, handle2,mp_group, &\n!$OMP total_send_count, total_recv_count, recv_data_area, nocopy, &\n!$OMP data_type, recv_meta, send_data_area, send_meta, &\n!$OMP sd_disp, sm_disp, rd_disp, rm_disp, all_total_send_offset, blk_ps, blks, &\n!$OMP received_data_area, scale_neg_one, memtype_abpanel_1)\n ithread = 0\n!$ ithread = omp_get_thread_num()\n!$OMP MASTER\n!$ nthreads = omp_get_num_threads()\n!$OMP END MASTER\n\n ! Allocate thread private data\n !\n ALLOCATE (myt_send_count(2, nrow_images, ncol_images, 0:numproc - 1)); myt_send_count(:, :, :, :) = 0\n ALLOCATE (myt_total_send_count(2, 0:numproc - 1))\n ! Thread-local pointers of the current adding position into the send buffers\n ALLOCATE (myt_smp(0:numproc - 1), myt_sdp(0:numproc - 1))\n\n ! Count sizes for sending\n !\n CALL dbcsr_iterator_start(iter, ism, shared=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, &\n row_size=row_size, col_size=col_size)\n nze = row_size*col_size\n IF (nze .EQ. 0) CYCLE\n DO symmetry_i = 1, nsymmetries\n IF (symmetry_i .EQ. 1) THEN\n stored_row = row; stored_col = col\n ELSE\n IF (row .EQ. col) CYCLE\n stored_row = col; stored_col = row\n END IF\n ! Where do we send this block?\n row_img = 1\n IF (nrow_images .GT. 1) row_img = row_img_dist(stored_row)\n col_img = 1\n IF (ncol_images .GT. 1) col_img = col_img_dist(stored_col)\n CALL image_calculator(target_imgdist, &\n prow=prow, rowi=rowi, &\n pcol=pcol, coli=coli, &\n vprow=vrow, vpcol=vcol, &\n myprow=row_dist(stored_row), myrowi=row_img, &\n mypcol=col_dist(stored_col), mycoli=col_img, &\n shifting=predist_type_fwd)\n dst_p = blacs2mpi(prow, pcol)\n ! These counts are meant for the thread that processes this row.\n myt_send_count(1, rowi, coli, dst_p) = &\n myt_send_count(1, rowi, coli, dst_p) + 1\n myt_send_count(2, rowi, coli, dst_p) = &\n myt_send_count(2, rowi, coli, dst_p) + nze\n END DO ! symmetry_i\n END DO\n CALL dbcsr_iterator_stop(iter)\n DO dst_p = 0, numproc - 1\n myt_total_send_count(1, dst_p) = SUM(myt_send_count(1, :, :, dst_p))\n myt_total_send_count(2, dst_p) = SUM(myt_send_count(2, :, :, dst_p))\n END DO\n ! Merge the send counts\n!$OMP CRITICAL\n send_count(:, :, :, :) = send_count(:, :, :, :) + myt_send_count(:, :, :, :)\n total_send_count(:, :) = total_send_count(:, :) + myt_total_send_count(:, :)\n!$OMP END CRITICAL\n!$OMP BARRIER\n!$OMP MASTER\n CALL timeset(routineN//\"_sizes\", handle2)\n CALL mp_alltoall(send_count, recv_count, 2*nrow_images*ncol_images, &\n mp_group)\n CALL timestop(handle2)\n!$OMP END MASTER\n!$OMP BARRIER\n ! Fill in the meta data structures and copy the data.\n!$OMP DO\n DO dst_p = 0, numproc - 1\n total_recv_count(1, dst_p) = SUM(recv_count(1, :, :, dst_p))\n total_recv_count(2, dst_p) = SUM(recv_count(2, :, :, dst_p))\n END DO\n!$OMP MASTER\n ! Allocate data structures needed for data exchange.\n CALL dbcsr_data_init(recv_data_area)\n CALL dbcsr_data_init(send_data_area)\n IF (nrow_images .EQ. 1 .AND. ncol_images .EQ. 1 .OR. nocopy) THEN\n ! For some cases the faster dbcsr_special_finalize(reshuffle=.FALSE.) can be used.\n ! This basically makes this working matrix the actual data-area.\n ! Hence, for those cases we have to use data_memory_type already here.\n CALL dbcsr_data_new(recv_data_area, data_type, SUM(total_recv_count(2, :)), memory_type=memtype_abpanel_1)\n ! Some MPI implementations have high overhead when encountering a new buffer.\n ! Therefore we also use the memory pool for the send buffer.\n CALL dbcsr_data_new(send_data_area, data_type, SUM(total_send_count(2, :)), memory_type=memtype_abpanel_1)\n ELSE\n CALL dbcsr_data_new(recv_data_area, data_type, SUM(total_recv_count(2, :)))\n CALL dbcsr_data_new(send_data_area, data_type, SUM(total_send_count(2, :)))\n END IF\n ALLOCATE (recv_meta(metalen*SUM(total_recv_count(1, :))))\n ALLOCATE (send_meta(metalen*SUM(total_send_count(1, :))))\n ! Calculate displacements for processors needed for the exchanges.\n DO dst_p = 1, numproc - 1\n sm_disp(dst_p) = sm_disp(dst_p - 1) &\n + metalen*total_send_count(1, dst_p - 1)\n sd_disp(dst_p) = sd_disp(dst_p - 1) &\n + total_send_count(2, dst_p - 1)\n rm_disp(dst_p) = rm_disp(dst_p - 1) &\n + metalen*total_recv_count(1, dst_p - 1)\n rd_disp(dst_p) = rd_disp(dst_p - 1) &\n + total_recv_count(2, dst_p - 1)\n END DO\n myt_smp(:) = sm_disp(:)\n myt_sdp(:) = sd_disp(:)\n IF (nthreads .GT. 1) THEN\n all_total_send_offset(1, :) = myt_smp(:) + metalen*myt_total_send_count(1, :)\n all_total_send_offset(2, :) = myt_sdp(:) + myt_total_send_count(2, :)\n END IF\n!$OMP END MASTER\n!$OMP BARRIER\n IF (ithread .GT. 0) THEN\n!$OMP CRITICAL\n myt_smp(:) = all_total_send_offset(1, :)\n myt_sdp(:) = all_total_send_offset(2, :)\n all_total_send_offset(1, :) &\n = all_total_send_offset(1, :) + metalen*myt_total_send_count(1, :)\n all_total_send_offset(2, :) &\n = all_total_send_offset(2, :) + myt_total_send_count(2, :)\n!$OMP END CRITICAL\n ELSE\n CALL dbcsr_data_init(received_data_area)\n received_data_area = recv_data_area\n CALL dbcsr_data_hold(received_data_area)\n DO row_img = 1, nrow_images\n DO col_img = 1, ncol_images\n CALL dbcsr_work_create(ums%mats(row_img, col_img), &\n SUM(recv_count(1, row_img, col_img, :)), n=1)\n CALL dbcsr_data_hold(received_data_area)\n CALL dbcsr_data_release(ums%mats(row_img, col_img)%wms(1)%data_area)\n ums%mats(row_img, col_img)%wms(1)%data_area = received_data_area\n END DO\n END DO\n END IF\n!$OMP BARRIER\n ! Add timing call to the packing of the send buffers\n !\n CALL timeset(routineN//\"_pack\", handle2)\n ! Copies metadata and actual data to be sent into the send buffers.\n CALL dbcsr_iterator_start(iter, ism, shared=.TRUE.)\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n CALL prepare_buffers_s(sm%negate_real, sm%negate_imaginary, &\n iter, row, col, blk, blk_p, bp, &\n row_size, col_size, nze, nsymmetries, symmetry_i, &\n stored_row, stored_col, tr_row_size, tr_col_size, tr, &\n row_img, col_img, nrow_images, ncol_images, &\n row_img_dist, col_img_dist, predist_type_fwd, blacs2mpi, &\n target_imgdist, prow, pcol, rowi, coli, &\n row_dist, col_dist, dst_p, sm_pos, myt_smp, metalen, &\n sd_pos, myt_sdp, send_meta, sd_disp, &\n dbcsr_get_data_p_s(sm%data_area), &\n send_data_area, scale_neg_one, scale_value)\n CASE (dbcsr_type_real_8)\n CALL prepare_buffers_d(sm%negate_real, sm%negate_imaginary, &\n iter, row, col, blk, blk_p, bp, &\n row_size, col_size, nze, nsymmetries, symmetry_i, &\n stored_row, stored_col, tr_row_size, tr_col_size, tr, &\n row_img, col_img, nrow_images, ncol_images, &\n row_img_dist, col_img_dist, predist_type_fwd, blacs2mpi, &\n target_imgdist, prow, pcol, rowi, coli, &\n row_dist, col_dist, dst_p, sm_pos, myt_smp, metalen, &\n sd_pos, myt_sdp, send_meta, sd_disp, &\n dbcsr_get_data_p_d(sm%data_area), &\n send_data_area, scale_neg_one, scale_value)\n CASE (dbcsr_type_complex_4)\n CALL prepare_buffers_c(sm%negate_real, sm%negate_imaginary, &\n iter, row, col, blk, blk_p, bp, &\n row_size, col_size, nze, nsymmetries, symmetry_i, &\n stored_row, stored_col, tr_row_size, tr_col_size, tr, &\n row_img, col_img, nrow_images, ncol_images, &\n row_img_dist, col_img_dist, predist_type_fwd, blacs2mpi, &\n target_imgdist, prow, pcol, rowi, coli, &\n row_dist, col_dist, dst_p, sm_pos, myt_smp, metalen, &\n sd_pos, myt_sdp, send_meta, sd_disp, &\n dbcsr_get_data_p_c(sm%data_area), &\n send_data_area, scale_neg_one, scale_value)\n CASE (dbcsr_type_complex_8)\n CALL prepare_buffers_z(sm%negate_real, sm%negate_imaginary, &\n iter, row, col, blk, blk_p, bp, &\n row_size, col_size, nze, nsymmetries, symmetry_i, &\n stored_row, stored_col, tr_row_size, tr_col_size, tr, &\n row_img, col_img, nrow_images, ncol_images, &\n row_img_dist, col_img_dist, predist_type_fwd, blacs2mpi, &\n target_imgdist, prow, pcol, rowi, coli, &\n row_dist, col_dist, dst_p, sm_pos, myt_smp, metalen, &\n sd_pos, myt_sdp, send_meta, sd_disp, &\n dbcsr_get_data_p_z(sm%data_area), &\n send_data_area, scale_neg_one, scale_value)\n END SELECT\n CALL dbcsr_iterator_stop(iter)\n\n ! Deallocate thread private data\n !\n DEALLOCATE (myt_send_count)\n DEALLOCATE (myt_total_send_count)\n DEALLOCATE (myt_smp, myt_sdp)\n\n CALL timestop(handle2)\n!$OMP END PARALLEL\n\n ! Exchange the data and metadata structures. In the interesting cases (square grids, row col distribution same),\n ! there are only very few processors that need to exchange data.\n ! The hybrid_alltoall deals with this by doing point to point communication\n CALL timeset(routineN//\"_data\", handle2)\n CALL hybrid_alltoall_any(send_data_area, total_send_count(2, :), sd_disp(:) - 1, &\n recv_data_area, total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj, &\n most_ptp=.TRUE., remainder_ptp=.TRUE., no_hybrid=.FALSE.)\n CALL hybrid_alltoall_i1( &\n send_meta(:), metalen*total_send_count(1, :), sm_disp(:) - 1, &\n recv_meta(:), metalen*total_recv_count(1, :), rm_disp(:) - 1, &\n most_ptp=.TRUE., remainder_ptp=.TRUE., no_hybrid=.FALSE., &\n mp_env=mp_obj)\n CALL timestop(handle2)\n\n ! Now create the work index and/or copy the relevant data from the\n ! receive buffer into the local indices.\n !\n DO src_p = 0, numproc - 1\n DO blk_l = 1, total_recv_count(1, src_p)\n stored_row = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1))\n stored_col = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1) + 1)\n stored_blk_p = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1) + 2)\n row_img = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1) + 3)\n col_img = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1) + 4)\n nze = row_blk_size(stored_row)*col_blk_size(stored_col)\n blk = blks(row_img, col_img)\n blks(row_img, col_img) = blks(row_img, col_img) + 1\n blk_ps(row_img, col_img) = blk_ps(row_img, col_img) + nze\n ums%mats(row_img, col_img)%wms(1)%row_i(blk) = stored_row\n ums%mats(row_img, col_img)%wms(1)%col_i(blk) = stored_col\n ums%mats(row_img, col_img)%wms(1)%blk_p(blk) = &\n SIGN(rd_disp(src_p) + ABS(stored_blk_p) - 1, stored_blk_p)\n END DO\n END DO\n\n ! Finalize the actual imaged matrices from the work matrices\n !\n DO row_img = 1, nrow_images\n DO col_img = 1, ncol_images\n ums%mats(row_img, col_img)%wms(1)%lastblk = blks(row_img, col_img) - 1\n ums%mats(row_img, col_img)%wms(1)%datasize = blk_ps(row_img, col_img) - 1\n !\n CALL dbcsr_data_set_size_referenced( &\n ums%mats(row_img, col_img)%wms(1)%data_area, &\n ums%mats(row_img, col_img)%wms(1)%datasize)\n IF (nrow_images .EQ. 1 .AND. ncol_images .EQ. 1 .OR. nocopy) THEN\n CALL dbcsr_special_finalize(ums%mats(row_img, col_img), reshuffle=.FALSE.)\n ELSE\n CALL dbcsr_special_finalize(ums%mats(row_img, col_img), reshuffle=.TRUE.)\n END IF\n\n ! Save the home process and image row and column\n CALL image_calculator(target_imgdist, &\n ums%mats(row_img, col_img)%index(dbcsr_slot_home_prow), &\n ums%mats(row_img, col_img)%index(dbcsr_slot_home_rowi), &\n ums%mats(row_img, col_img)%index(dbcsr_slot_home_pcol), &\n ums%mats(row_img, col_img)%index(dbcsr_slot_home_coli), &\n vprow=ums%mats(row_img, col_img)%index(dbcsr_slot_home_vprow), &\n vpcol=ums%mats(row_img, col_img)%index(dbcsr_slot_home_vpcol), &\n myrowi=row_img, mycoli=col_img, &\n shifting=predist_type)\n END DO\n END DO\n\n ! Deallocate shared temporary buffers\n !\n DEALLOCATE (send_count, recv_count)\n DEALLOCATE (total_send_count, total_recv_count)\n DEALLOCATE (sdp, smp, sd_disp, sm_disp)\n DEALLOCATE (rd_disp, rm_disp)\n DEALLOCATE (all_total_send_offset)\n DEALLOCATE (blk_ps, blks)\n DEALLOCATE (recv_meta, send_meta)\n\n CALL dbcsr_data_release(send_data_area)\n CALL dbcsr_data_release(received_data_area)\n CALL dbcsr_data_release(recv_data_area)\n\n CALL timestop(handle)\n END SUBROUTINE make_images\n\n SUBROUTINE dbcsr_make_images_dense(images, new_rdist, &\n row_map, col_map, join_cols, join_rows, new_template)\n !! Makes dense matrices for the image matrices.\n !! @note\n !! Used for making matrices dense/undense\n !! @endnote\n\n TYPE(dbcsr_2d_array_type), INTENT(INOUT) :: images\n !! current (undense) matrix images, output is the dense matrix images\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: new_rdist\n !! the new image distribution for dense matrices\n TYPE(array_i1d_obj), INTENT(IN) :: row_map, col_map\n !! mapping of current (undense) rows to dense rows\n !! mapping of current (undense) columns to dense columns\n LOGICAL, INTENT(IN) :: join_cols, join_rows\n !! make columns dense, default is yes\n !! make rows dense, default is yes\n TYPE(dbcsr_type), INTENT(IN) :: new_template\n !! template dense matrix for creating image matrices\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_images_dense'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle, mat_col, mat_row, mat_vpcol, &\n mat_vprow\n INTEGER, DIMENSION(:), CONTIGUOUS, POINTER :: und_col_blk_offsets, und_row_blk_offsets\n INTEGER, DIMENSION(dbcsr_meta_size) :: old_meta\n REAL(kind=dp) :: cs\n TYPE(array_i1d_obj) :: dense_local_vcols, dense_local_vrows, &\n und_local_vcols, und_local_vrows\n TYPE(dbcsr_imagedistribution_obj) :: old_rdist\n TYPE(dbcsr_type) :: tmp_mat\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n old_rdist = images%image_dist\n !\n DO mat_row = 1, images%image_dist%i%row_decimation\n DO mat_col = 1, images%image_dist%i%col_decimation\n IF (dbg) THEN\n cs = dbcsr_checksum(images%mats(mat_row, mat_col))\n WRITE (*, *) routineN//\" cs pre\", cs\n END IF\n mat_vprow = images%mats(mat_row, mat_col)%index(dbcsr_slot_home_vprow)\n mat_vpcol = images%mats(mat_row, mat_col)%index(dbcsr_slot_home_vpcol)\n und_row_blk_offsets => array_data(images%mats(mat_row, mat_col)%row_blk_offset)\n und_col_blk_offsets => array_data(images%mats(mat_row, mat_col)%col_blk_offset)\n CALL dbcsr_get_local_vrows(old_rdist, und_local_vrows, mat_vprow)\n CALL dbcsr_get_local_vcols(old_rdist, und_local_vcols, mat_vpcol)\n\n CALL dbcsr_get_local_vrows(new_rdist, dense_local_vrows, mat_vprow)\n CALL dbcsr_get_local_vcols(new_rdist, dense_local_vcols, mat_vpcol)\n ! The old matrix has to be remembered so it is copied to\n ! tmp_mat.\n old_meta(:) = images%mats(mat_row, mat_col)%index(1:dbcsr_meta_size)\n tmp_mat = dbcsr_type()\n tmp_mat = images%mats(mat_row, mat_col)\n images%mats(mat_row, mat_col) = dbcsr_type()\n CALL dbcsr_create(images%mats(mat_row, mat_col), template=new_template)\n images%mats(mat_row, mat_col)%index(dbcsr_slot_home_prow &\n :dbcsr_slot_home_vpcol) = &\n old_meta(dbcsr_slot_home_prow:dbcsr_slot_home_vpcol)\n CALL dbcsr_make_dense_low(tmp_mat, images%mats(mat_row, mat_col), &\n array_data(und_local_vrows), array_data(und_local_vcols), &\n und_row_blk_offsets, und_col_blk_offsets, &\n array_data(dense_local_vrows), &\n array_data(dense_local_vcols), &\n array_data(new_template%row_blk_offset), &\n array_data(new_template%col_blk_offset), &\n array_data(row_map), array_data(col_map), join_rows, join_cols)\n !\n CALL dbcsr_index_prune_deleted(images%mats(mat_row, mat_col))\n !\n CALL dbcsr_release(tmp_mat)\n IF (dbg) THEN\n cs = dbcsr_checksum(images%mats(mat_row, mat_col))\n WRITE (*, *) routineN//\" cs pst\", cs\n END IF\n END DO\n END DO\n CALL dbcsr_image_dist_release(images%image_dist)\n images%image_dist = new_rdist\n CALL dbcsr_image_dist_hold(images%image_dist)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_make_images_dense\n\n SUBROUTINE multiply_cannon(left_set, right_set, product_matrix, &\n retain_sparsity, &\n filter_eps, flop, keep_product_data)\n !! Multiplies two DBCSR matrices\n\n TYPE(dbcsr_2d_array_type), POINTER :: left_set, right_set\n !! set of imaged left matrices\n !! set of imaged right matrices\n TYPE(dbcsr_type), INTENT(INOUT) :: product_matrix\n !! DBCSR product matrix\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n !! retain the sparsity of the existing product matrix; default is no\n REAL(kind=real_8), INTENT(in), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT) :: flop\n !! effective flop\n LOGICAL, INTENT(IN) :: keep_product_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'multiply_cannon'\n INTEGER, PARAMETER :: idata = 1, ileft = 0, imeta = 2, &\n iright = 2\n\n INTEGER :: data_type, data_type_byte, handle, handle1, handle2, handle3, i, ithread, &\n left_col_image, left_col_mult, left_col_nimages, left_dst_icol, left_dst_irow, &\n left_dst_p, left_dst_pcol, left_dst_prow, left_dst_vcol, left_dst_vrow, left_max_nblks, &\n left_max_nze, left_myfirstvcol, left_myfirstvrow, left_mypcol, left_myprow, left_npcols, &\n left_nprows, left_recv_icol, left_recv_irow, left_recv_p, left_recv_pcol, left_recv_prow, &\n left_recv_vcol, left_recv_vrow, left_row_image, left_row_mult, left_row_nimages, &\n left_send_icol, left_send_irow, left_send_p, left_send_pcol, left_send_prow\n INTEGER :: left_send_vcol, left_send_vrow, left_src_icol, left_src_irow, left_src_p, &\n left_src_pcol, left_src_prow, left_src_vcol, left_src_vrow, metronome, min_nimages, &\n mynode, nblkrows_used, nsteps_k, nthreads, numnodes, nvirt_k, &\n output_unit, right_col_image, right_col_mult, right_col_nimages, right_dst_icol, &\n right_dst_irow, right_dst_p, right_dst_pcol, right_dst_prow, right_dst_vcol, &\n right_dst_vrow, right_max_nblks, right_max_nze, right_myfirstvcol, right_myfirstvrow, &\n right_mypcol, right_myprow, right_npcols, right_nprows, right_recv_icol, right_recv_irow\n INTEGER :: right_recv_p, right_recv_pcol, right_recv_prow, right_recv_vcol, right_recv_vrow, &\n right_row_image, right_row_mult, right_row_nimages, right_send_icol, right_send_irow, &\n right_send_p, right_send_pcol, right_send_prow, right_send_vcol, right_send_vrow, &\n right_src_icol, right_src_irow, right_src_p, right_src_pcol, right_src_prow, &\n right_src_vcol, right_src_vrow, row, size_guess, size_guess_init, stat, threads_finished, &\n threads_finished_read, v_ki, v_ki_left, v_ki_right\n INTEGER(KIND=int_8) :: flop_single, flop_total, mem\n INTEGER, ALLOCATABLE, DIMENSION(:) :: row_counts, total_row_counts\n INTEGER, ALLOCATABLE, DIMENSION(:, :, :) :: left_sizes, my_sizes, right_sizes\n INTEGER, ALLOCATABLE, DIMENSION(:, :, :, :) :: all_sizes\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_blk_sizes2enum, enum2col_blk_sizes, &\n enum2row_blk_sizes, &\n left_index_rp, left_index_sp, m_sizes, n_sizes, &\n right_index_rp, right_index_sp, &\n row_blk_sizes2enum\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: k_sizes\n INTEGER, DIMENSION(:, :), POINTER, CONTIGUOUS :: left_pgrid, product_pgrid, right_pgrid\n INTEGER, SAVE :: mult_id = 0\n LOGICAL :: keep_sparsity, list_indexing, &\n otf_filtering\n\n REAL(kind=sp), ALLOCATABLE, DIMENSION(:) :: left_norms, right_norms, &\n row_max_epss\n REAL(kind=sp) :: filter_eps_sp\n TYPE(dbcsr_2d_array_type), POINTER :: left_buffer_2, left_buffer_calc, &\n left_buffer_comm, right_buffer_2, right_buffer_calc, right_buffer_comm\n TYPE(dbcsr_data_obj) :: left_data_rp, left_data_sp, &\n right_data_rp, right_data_sp\n TYPE(dbcsr_data_obj), POINTER :: trs_stackbuf_calc, &\n trs_stackbuf_comm\n TYPE(dbcsr_data_obj), TARGET :: trs_stackbuf_1, trs_stackbuf_2\n TYPE(dbcsr_mm_multrec_type_p), DIMENSION(:), ALLOCATABLE :: multrec\n TYPE(dbcsr_mp_obj) :: left_mp_obj, product_mp_obj, &\n right_mp_obj\n TYPE(mp_comm_type) :: grp, mp_group\n TYPE(mp_request_type), DIMENSION(:), ALLOCATABLE :: left_data_rr, left_data_sr, left_index_rr, &\n left_index_sr, right_data_rr, right_data_sr, right_index_rr, right_index_sr\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n NULLIFY (trs_stackbuf_calc, trs_stackbuf_comm)\n NULLIFY (row_blk_sizes2enum, enum2row_blk_sizes)\n NULLIFY (col_blk_sizes2enum, enum2col_blk_sizes)\n NULLIFY (k_sizes)\n !\n ALLOCATE (left_buffer_2, right_buffer_2)\n mult_id = mult_id + 1\n\n IF (PRESENT(retain_sparsity)) THEN\n keep_sparsity = retain_sparsity\n ELSE\n keep_sparsity = .FALSE.\n END IF\n otf_filtering = PRESENT(filter_eps)\n\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (multrec, nthreads, product_matrix)\n!$OMP MASTER\n nthreads = 1\n!$ nthreads = OMP_GET_NUM_THREADS()\n IF (.NOT. ASSOCIATED(product_matrix%wms)) &\n DBCSR_ABORT(\"Work matrices do not exist\")\n IF (SIZE(product_matrix%wms) .NE. nthreads) &\n DBCSR_ABORT(\"Work matrices not correctly sized.\")\n ALLOCATE (multrec(0:nthreads - 1))\n!$OMP END MASTER\n!$OMP END PARALLEL\n\n output_unit = default_output_unit\n flop_total = 0\n ! Set up variables\n data_type = dbcsr_get_data_type(product_matrix)\n data_type_byte = dbcsr_datatype_sizeof(data_type)\n left_row_nimages = left_set%image_dist%i%row_decimation\n left_row_mult = left_set%image_dist%i%row_multiplicity\n left_col_nimages = left_set%image_dist%i%col_decimation\n left_col_mult = left_set%image_dist%i%col_multiplicity\n right_row_nimages = right_set%image_dist%i%row_decimation\n right_row_mult = right_set%image_dist%i%row_multiplicity\n right_col_nimages = right_set%image_dist%i%col_decimation\n right_col_mult = right_set%image_dist%i%col_multiplicity\n left_mp_obj = dbcsr_distribution_mp(left_set%image_dist%i%main)\n right_mp_obj = dbcsr_distribution_mp(right_set%image_dist%i%main)\n product_mp_obj = dbcsr_distribution_mp(product_matrix%dist)\n numnodes = dbcsr_mp_numnodes(product_mp_obj)\n mynode = dbcsr_mp_mynode(product_mp_obj)\n left_nprows = dbcsr_mp_nprows(left_mp_obj)\n left_npcols = dbcsr_mp_npcols(left_mp_obj)\n left_myprow = dbcsr_mp_myprow(left_mp_obj)\n left_mypcol = dbcsr_mp_mypcol(left_mp_obj)\n left_myfirstvrow = dbcsr_mp_myprow(left_mp_obj)*left_row_nimages\n left_myfirstvcol = dbcsr_mp_mypcol(left_mp_obj)*left_col_nimages\n right_nprows = dbcsr_mp_nprows(right_mp_obj)\n right_npcols = dbcsr_mp_npcols(right_mp_obj)\n right_myprow = dbcsr_mp_myprow(right_mp_obj)\n right_mypcol = dbcsr_mp_mypcol(right_mp_obj)\n right_myfirstvrow = dbcsr_mp_myprow(right_mp_obj)*right_row_nimages\n right_myfirstvcol = dbcsr_mp_mypcol(right_mp_obj)*right_col_nimages\n mp_group = dbcsr_mp_group(product_mp_obj)\n left_pgrid => dbcsr_mp_pgrid(left_mp_obj)\n right_pgrid => dbcsr_mp_pgrid(right_mp_obj)\n product_pgrid => dbcsr_mp_pgrid(product_mp_obj)\n CALL dbcsr_mp_grid_setup(product_mp_obj)\n CALL dbcsr_mp_grid_setup(left_mp_obj)\n CALL dbcsr_mp_grid_setup(right_mp_obj)\n !\n ! Dummy checks\n ! left/right matching\n IF (left_col_nimages .NE. right_row_mult) &\n DBCSR_ABORT(\"Left/Right image mismatch\")\n IF (left_col_mult .NE. right_row_nimages) &\n DBCSR_ABORT(\"Left/Right image mismatch\")\n IF (left_col_nimages*left_npcols .NE. right_row_nimages*right_nprows) &\n DBCSR_ABORT(\"Left/Right total mismatch\")\n ! product/left matching\n IF (left_row_mult*dbcsr_mp_nprows(product_mp_obj) .NE. left_row_nimages*left_nprows) &\n DBCSR_ABORT(\"Product/Left total mismatch\")\n ! product/left matching\n IF (right_col_mult*dbcsr_mp_npcols(product_mp_obj) .NE. right_col_nimages*right_npcols) &\n DBCSR_ABORT(\"Product/Right total mismatch\")\n ! Limitations\n IF (left_row_nimages .NE. 1) &\n DBCSR_ABORT(\"Product/Left matrix process grid mismatch\")\n IF (left_row_mult .NE. 1) &\n DBCSR_ABORT(\"Product/Left matrix process grid mismatch\")\n IF (right_col_nimages .NE. 1) &\n DBCSR_ABORT(\"Product/Right matrix process grid mismatch\")\n IF (right_col_mult .NE. 1) &\n DBCSR_ABORT(\"Product/Right matrix process grid mismatch\")\n\n dbcsr_mpi_statistics%nimages = MAX(dbcsr_mpi_statistics%nimages, left_row_nimages*left_col_nimages)\n dbcsr_mpi_statistics%nimages = MAX(dbcsr_mpi_statistics%nimages, right_row_nimages*right_col_nimages)\n !\n ! Exchange size data\n ALLOCATE (my_sizes(4, MAX(left_row_nimages, right_row_nimages), &\n MAX(left_col_nimages, right_col_nimages)))\n my_sizes(:, :, :) = 0\n DO left_row_image = 1, left_row_nimages\n DO left_col_image = 1, left_col_nimages\n my_sizes(idata + ileft, left_row_image, left_col_image) &\n = dbcsr_data_get_size_referenced( &\n left_set%mats(left_row_image, left_col_image)%data_area)\n my_sizes(imeta + ileft, left_row_image, left_col_image) = &\n left_set%mats(left_row_image, left_col_image)%index &\n (dbcsr_slot_size)\n END DO\n END DO\n\n DO right_row_image = 1, right_row_nimages\n DO right_col_image = 1, right_col_nimages\n my_sizes(idata + iright, right_row_image, right_col_image) &\n = dbcsr_data_get_size_referenced( &\n right_set%mats(right_row_image, right_col_image)%data_area)\n my_sizes(imeta + iright, right_row_image, right_col_image) = &\n right_set%mats(right_row_image, right_col_image)%index &\n (dbcsr_slot_size)\n END DO\n END DO\n\n ALLOCATE (all_sizes(4, LBOUND(my_sizes, 2):UBOUND(my_sizes, 2), &\n LBOUND(my_sizes, 3):UBOUND(my_sizes, 3), 0:numnodes - 1))\n CALL mp_allgather(my_sizes, all_sizes, mp_group)\n !\n ! Count the maximum possible multiplies per row for on-the-fly\n ! filtering.\n per_row_eps: IF (.NOT. otf_filtering) THEN\n ! These arrays must be valid when passed to called subroutines.\n ALLOCATE (left_norms(0), right_norms(0), row_max_epss(0), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory\")\n ELSE\n IF (careful_mod) THEN\n IF (left_set%mats(1, 1)%bcsc) &\n DBCSR_ABORT(\"Can not do on-the-fly filtering with CSC-indexed matrices.\")\n END IF\n IF (dbcsr_has_local_row_index(left_set%mats(1, 1))) THEN\n nblkrows_used = dbcsr_nblkrows_local(left_set%mats(1, 1))\n ELSE\n nblkrows_used = dbcsr_nblkrows_total(left_set%mats(1, 1))\n END IF\n ALLOCATE (row_max_epss(nblkrows_used), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory for left epsilons\")\n ALLOCATE (row_counts(nblkrows_used), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory for left row counts\")\n ! The summation could be done prow-locally but it would\n ! complicate the pre-row eps calculation.\n ALLOCATE (total_row_counts(nblkrows_used), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory for left row counts\")\n ! Each prow member matrix (npcols * row_images) counts the\n ! blocks present in each of its rows.\n total_row_counts(:) = 0\n DO left_row_image = 1, left_row_nimages\n DO left_col_image = 1, left_col_nimages\n list_indexing = &\n left_set%mats(left_row_image, left_col_image)%list_indexing\n IF (careful_mod) THEN\n IF (list_indexing) THEN\n IF ((left_set%mats(left_row_image, left_col_image)%nblks)*3 .NE. &\n SIZE(left_set%mats(left_row_image, left_col_image)%coo_l)) &\n DBCSR_ABORT(\"Row count mismatch\")\n ELSE\n IF (nblkrows_used + 1 .NE. SIZE(left_set%mats(left_row_image, left_col_image)%row_p)) &\n DBCSR_ABORT(\"Row count mismatch\")\n END IF\n END IF\n IF (list_indexing) THEN\n CALL count_bins( &\n left_set%mats(left_row_image, left_col_image)%nblks, &\n left_set%mats(left_row_image, left_col_image)%coo_l(1::3), &\n nblkrows_used, row_counts)\n ELSE\n CALL dbcsr_count_row_index( &\n left_set%mats(left_row_image, left_col_image)%row_p, &\n row_counts, nblkrows_used)\n END IF\n total_row_counts(:) = total_row_counts(:) &\n + row_counts(:)\n END DO\n END DO\n ! The counted blocks are then summed up\n CALL mp_sum(total_row_counts, dbcsr_mp_my_row_group(product_mp_obj))\n ! and used to determine the maximum per-block epsilon.\n filter_eps_sp = REAL(filter_eps, KIND=KIND(row_max_epss))\n!$OMP PARALLEL DO DEFAULT (NONE) &\n!$OMP SHARED(nblkrows_used,row_max_epss,filter_eps_sp,&\n!$OMP total_row_counts)\n DO row = 1, nblkrows_used\n row_max_epss(row) &\n = (filter_eps_sp &\n /REAL(MAX(1, total_row_counts(row)), KIND=KIND(row_max_epss)))**2\n END DO\n!$OMP END PARALLEL DO\n !\n DEALLOCATE (row_counts)\n DEALLOCATE (total_row_counts)\n END IF per_row_eps\n !\n ! The main transfer loop goes through the virtual rows/columns.\n ! The number of steps may be smaller if the grid dimension is very\n ! non-optimal (both left column images and right row images are >\n ! 1).\n min_nimages = MIN(left_col_nimages, right_row_nimages)\n nvirt_k = left_npcols*left_col_nimages\n nsteps_k = nvirt_k/min_nimages\n !\n ! Translate the all_sizes to account for pre-distribution. This\n ! is just done to simplify lookups.\n ALLOCATE (left_sizes(2, 0:left_nprows*left_row_nimages - 1, 0:nvirt_k - 1))\n left_sizes = -1\n DO left_src_vcol = 0, left_col_nimages*left_npcols - 1\n DO left_src_vrow = 0, left_row_nimages*left_nprows - 1\n ! Calculate what was shifted. The left_src_v{row,col} are\n ! the \"source\" rows/columns; the left_dst are the shifted\n ! targets where the data was placed in make_images.\n CALL image_calculator(left_set%image_dist, &\n prow=left_dst_prow, pcol=left_dst_pcol, &\n rowi=left_dst_irow, coli=left_dst_icol, &\n myvprow=left_src_vrow, myvpcol=left_src_vcol, &\n shifting='l')\n left_dst_p = left_pgrid(left_dst_prow, left_dst_pcol)\n left_sizes(idata, left_src_vrow, left_src_vcol) = &\n all_sizes( &\n idata + ileft, left_dst_irow, left_dst_icol, left_dst_p)\n left_sizes(imeta, left_src_vrow, left_src_vcol) = &\n all_sizes( &\n imeta + ileft, left_dst_irow, left_dst_icol, left_dst_p)\n END DO\n END DO\n !\n ALLOCATE (right_sizes(2, 0:nvirt_k - 1, 0:right_npcols*right_col_nimages - 1))\n right_sizes = -1\n DO right_src_vcol = 0, right_col_nimages*right_npcols - 1\n DO right_src_vrow = 0, right_row_nimages*right_nprows - 1\n ! Calculate what was shifted. The right_src_v{row,col} are\n ! the \"source\" rows/columns; the right_dst are the shifted\n ! targets where the data was placed in make_images.\n CALL image_calculator(right_set%image_dist, &\n prow=right_dst_prow, pcol=right_dst_pcol, &\n rowi=right_dst_irow, coli=right_dst_icol, &\n myvprow=right_src_vrow, myvpcol=right_src_vcol, &\n shifting='r')\n right_dst_p = right_pgrid(right_dst_prow, right_dst_pcol)\n right_sizes(idata, right_src_vrow, right_src_vcol) = &\n all_sizes( &\n idata + iright, right_dst_irow, right_dst_icol, right_dst_p)\n right_sizes(imeta, right_src_vrow, right_src_vcol) = &\n all_sizes( &\n imeta + iright, right_dst_irow, right_dst_icol, right_dst_p)\n END DO\n END DO\n !\n ! Setup product work areas\n left_max_nze = MAXVAL(all_sizes(idata + ileft, :, :, :))\n left_max_nblks = MAXVAL(all_sizes(imeta + ileft, :, :, :))\n right_max_nze = MAXVAL(all_sizes(idata + iright, :, :, :))\n right_max_nblks = MAXVAL(all_sizes(imeta + iright, :, :, :))\n !!\n ! Evaluate sizes for workspaces\n IF (.NOT. keep_sparsity) THEN\n IF (use_acc()) THEN\n size_guess_init = product_matrix_size_guess(left_set%mats(1, 1), right_set%mats(1, 1), product_matrix, &\n left_max_nze, right_max_nze, &\n left_col_nimages, right_row_nimages, &\n nthreads)\n ELSE\n size_guess_init = 1\n END IF\n END IF\n ithread = 0\n!$OMP PARALLEL DEFAULT(NONE) &\n!$OMP PRIVATE (i, size_guess, ithread) &\n!$OMP SHARED (product_matrix, left_max_nze, right_max_nze) &\n!$OMP SHARED (left_set, right_set, &\n!$OMP left_col_nimages, right_row_nimages) &\n!$OMP SHARED (nthreads, keep_sparsity, mynode, size_guess_init)\n !\n!$ ithread = OMP_GET_THREAD_NUM()\n ! The work arrays have to be setup (actually, not quite sure).\n i = ithread + 1\n size_guess = product_matrix%wms(i)%datasize ! Should be minimal\n IF (.NOT. keep_sparsity) THEN\n size_guess = MAX(size_guess, size_guess_init)\n END IF\n CALL dbcsr_data_ensure_size(product_matrix%wms(i)%data_area, &\n size_guess)\n CALL dbcsr_data_set_size_referenced(product_matrix%wms(i)%data_area, &\n product_matrix%wms(i)%datasize)\n ! XXXXXXX a quick fix right now, allocation with size 1 might actually not be needed at all,\n ! but something expects this to be associated\n CALL ensure_array_size(product_matrix%wms(i)%row_i, ub=1)\n CALL ensure_array_size(product_matrix%wms(i)%col_i, ub=1)\n CALL ensure_array_size(product_matrix%wms(i)%blk_p, ub=1)\n!$OMP END PARALLEL\n\n ! update capacity of memory-pools, +1 for the dense case\n IF (ASSOCIATED(memtype_abpanel_1%pool)) &\n CALL dbcsr_mempool_limit_capacity(memtype_abpanel_1%pool, &\n capacity=left_row_mult*left_col_nimages + right_row_nimages*right_col_mult + 1)\n IF (ASSOCIATED(memtype_abpanel_2%pool)) &\n CALL dbcsr_mempool_limit_capacity(memtype_abpanel_2%pool, &\n capacity=left_row_mult*left_col_nimages + right_row_nimages*right_col_mult + 1)\n IF (use_acc()) THEN\n ! enumerate the blocksizes to keep the following 2D-arrays small.\n CALL enumerate_blk_sizes(right_set%mats(1, 1)%row_blk_size%low%data, &\n dbcsr_max_row_size(right_set%mats(1, 1)), &\n row_blk_sizes2enum, enum2row_blk_sizes)\n CALL enumerate_blk_sizes(right_set%mats(1, 1)%col_blk_size%low%data, &\n dbcsr_max_col_size(right_set%mats(1, 1)), &\n col_blk_sizes2enum, enum2col_blk_sizes)\n END IF\n\n !\n ! Setup the left buffer matrices\n !\n CALL buffer_matrices_ensure_size(left_set, index_size=left_max_nblks, &\n data_size=left_max_nze)\n\n CALL setup_buffer_matrices(left_buffer_2, left_row_mult, left_col_nimages, &\n left_set%mats(1, 1), index_size=left_max_nblks, &\n data_size=left_max_nze)\n IF (otf_filtering) THEN\n ALLOCATE (left_norms(left_max_nblks), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory for left norms\")\n IF (stat .NE. 0) otf_filtering = .FALSE.\n END IF\n left_buffer_calc => left_set\n left_buffer_comm => left_buffer_2\n ALLOCATE (left_data_sr(left_col_nimages))\n ALLOCATE (left_index_sr(left_col_nimages))\n ALLOCATE (left_data_rr(left_col_nimages))\n ALLOCATE (left_index_rr(left_col_nimages))\n left_data_sr = mp_request_null\n left_data_rr = mp_request_null\n left_index_sr = mp_request_null\n left_index_rr = mp_request_null\n\n ! Setup buffers for right matrix\n CALL buffer_matrices_ensure_size(right_set, index_size=right_max_nblks, &\n data_size=right_max_nze)\n\n CALL setup_buffer_matrices(right_buffer_2, right_row_nimages, right_col_mult, &\n right_set%mats(1, 1), index_size=right_max_nblks, data_size=right_max_nze)\n IF (otf_filtering) THEN\n ALLOCATE (right_norms(right_max_nblks), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_WARN(\"Could not allocate memory for right norms\")\n IF (stat .NE. 0) otf_filtering = .FALSE.\n END IF\n right_buffer_calc => right_set\n right_buffer_comm => right_buffer_2\n ALLOCATE (right_data_sr(right_row_nimages))\n ALLOCATE (right_index_sr(right_row_nimages))\n ALLOCATE (right_data_rr(right_row_nimages))\n ALLOCATE (right_index_rr(right_row_nimages))\n right_data_sr = mp_request_null\n right_data_rr = mp_request_null\n right_index_sr = mp_request_null\n right_index_rr = mp_request_null\n !\n ALLOCATE (m_sizes(dbcsr_nblkrows_local(product_matrix)))\n CALL local_filter(array_data(product_matrix%row_blk_size), array_size(product_matrix%local_rows), &\n array_data(product_matrix%local_rows), m_sizes)\n ALLOCATE (n_sizes(dbcsr_nblkcols_local(product_matrix)))\n CALL local_filter(array_data(product_matrix%col_blk_size), array_size(product_matrix%local_cols), &\n array_data(product_matrix%local_cols), n_sizes)\n !\n!$OMP PARALLEL &\n!$OMP DEFAULT (NONE) &\n!$OMP SHARED (left_buffer_comm, right_buffer_comm, product_matrix,&\n!$OMP keep_sparsity, filter_eps, row_max_epss, multrec, nthreads, &\n!$OMP right_data_sr, right_data_rr, left_data_sr, left_data_rr,&\n!$OMP right_index_sr, right_index_rr, left_index_sr, left_index_rr,&\n!$OMP m_sizes, n_sizes, keep_product_data), &\n!$OMP PRIVATE(ithread)\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n ALLOCATE (multrec(ithread)%p)\n CALL dbcsr_mm_multrec_init(multrec(ithread)%p, &\n product=product_matrix, &\n keep_sparsity=keep_sparsity, &\n eps=filter_eps, &\n row_max_epss=row_max_epss, &\n block_estimate=MAX(product_matrix%nblks, &\n left_buffer_comm%mats(1, 1)%nblks, &\n right_buffer_comm%mats(1, 1)%nblks)/nthreads, &\n right_row_blk_size=array_data(right_buffer_comm%mats(1, 1)%row_blk_size), &\n m_sizes=m_sizes, n_sizes=n_sizes, &\n keep_product_data=keep_product_data)\n!$OMP END PARALLEL\n !\n ! Setup indexing\n CALL setup_rec_index_2d(left_set, left_row_nimages, left_col_nimages)\n CALL setup_rec_index_2d(right_set, right_row_nimages, right_col_nimages)\n !\n ! Setup the send/receive data pointers\n CALL dbcsr_data_init(left_data_sp)\n CALL dbcsr_data_init(left_data_rp)\n CALL dbcsr_data_init(right_data_sp)\n CALL dbcsr_data_init(right_data_rp)\n CALL dbcsr_data_new(left_data_sp, data_type)\n CALL dbcsr_data_new(left_data_rp, data_type)\n CALL dbcsr_data_new(right_data_sp, data_type)\n CALL dbcsr_data_new(right_data_rp, data_type)\n\n ! Setup transpose stackbuffers\n IF (use_acc()) THEN\n CALL dbcsr_data_init(trs_stackbuf_1)\n CALL dbcsr_data_init(trs_stackbuf_2)\n CALL dbcsr_data_new(trs_stackbuf_1, data_type=dbcsr_type_int_4, &\n data_size=2*right_max_nblks, memory_type=memtype_trsbuffer_1)\n CALL dbcsr_data_new(trs_stackbuf_2, data_type=dbcsr_type_int_4, &\n data_size=2*right_max_nblks, memory_type=memtype_trsbuffer_2)\n trs_stackbuf_calc => trs_stackbuf_1\n trs_stackbuf_comm => trs_stackbuf_2\n END IF\n !\n ! Reset indices for virtual images\n v_ki_right = 0\n v_ki_left = 0\n !\n ! Here is the main loop.\n !\n ! In the first loop iteration, the data is fetched from the\n ! sources. In the remaining iterations, the data are exchanged\n ! among neighbors. In the last loop only calculations take place.\n !\n CALL timeset(routineN//\"_loop\", handle1)\n !\n grouped_k_index: DO metronome = 0, nvirt_k - 1\n ! Wait for right matrix transfer completion. Wait in all but\n ! the first loop iteration.\n CALL timeset(routineN//\"_metrocomm1\", handle2)\n wait_right: IF (v_ki_right .EQ. right_row_nimages) THEN\n ! Reset index\n v_ki_right = 0\n IF (debug_mod) WRITE (*, '(1X,A)') routineN//\" waiting for right\"\n !\n CALL mp_waitall(right_data_sr)\n CALL mp_waitall(right_data_rr)\n CALL mp_waitall(right_index_sr)\n CALL mp_waitall(right_index_rr)\n !\n ! Repoint indices of right matrices\n DO v_ki = 0, right_row_nimages - 1\n CALL dbcsr_repoint_index(right_buffer_calc%mats(v_ki + 1, 1))\n right_buffer_calc%mats(v_ki + 1, 1)%valid = .TRUE.\n END DO\n END IF wait_right\n CALL timestop(handle2)\n !\n ! Right matrix transfer. Transfer in all but the last loop\n ! iteration.\n xfer_right: IF (v_ki_right .EQ. 0 .AND. metronome + right_row_nimages .LT. nvirt_k) THEN\n DO v_ki = 0, right_row_nimages - 1\n ! Calculate the process to send to. It's the virtual\n ! process row -min_nimages up (i.e., smaller row number)\n ! from me.\n CALL image_calculator(right_set%image_dist, &\n prow=right_send_prow, rowi=right_send_irow, & ! output\n pcol=right_send_pcol, coli=right_send_icol, & ! output\n vprow=right_send_vrow, vpcol=right_send_vcol, & ! output\n ! myvprow goes through all of my (process row) images\n myvprow=v_ki + right_myfirstvrow, &\n myvpcol=right_myfirstvcol, & ! nothing happens in the columns\n vprow_shift=-right_row_nimages, &\n shifting='0')\n ! Calculate which data I send.\n CALL image_calculator(right_set%image_dist, &\n prow=right_dst_prow, rowi=right_dst_irow, &\n pcol=right_dst_pcol, coli=right_dst_icol, &\n vprow=right_dst_vrow, vpcol=right_dst_vcol, &\n ! myvprows goes through all of my (process row) images\n myvprow=v_ki + right_myfirstvrow, &\n myvpcol=right_myfirstvcol, & ! nothing happens in the columns\n vprow_shift=metronome, &\n ! This is with relative shifting.\n shifting='R')\n right_dst_p = right_pgrid(right_dst_prow, right_dst_pcol)\n CALL dbcsr_data_set_pointer( &\n area=right_data_sp, &\n rsize=right_sizes(idata, right_dst_vrow, right_dst_vcol), &\n csize=1, &\n pointee=right_buffer_calc%mats(v_ki + 1, 1)%data_area)\n right_index_sp => right_buffer_calc%mats( &\n v_ki + 1, 1 &\n )%index(1: &\n right_sizes(imeta, right_dst_vrow, right_dst_vcol))\n !\n ! Calculate the process to receive from\n CALL image_calculator(right_set%image_dist, &\n prow=right_recv_prow, rowi=right_recv_irow, &\n pcol=right_recv_pcol, coli=right_recv_icol, &\n vprow=right_recv_vrow, vpcol=right_recv_vcol, &\n myvprow=v_ki + right_myfirstvrow, &\n myvpcol=right_myfirstvcol, &\n vprow_shift=+right_row_nimages, & ! just the opposite as \"send to\"\n shifting='0')\n ! Calculate which data I receive\n CALL image_calculator(right_set%image_dist, &\n prow=right_src_prow, rowi=right_src_irow, &\n pcol=right_src_pcol, coli=right_src_icol, &\n vprow=right_src_vrow, vpcol=right_src_vcol, &\n myvprow=v_ki + right_myfirstvrow, &\n myvpcol=right_myfirstvcol, &\n ! receive window moves with the metronome\n vprow_shift=metronome + right_row_nimages, &\n shifting='R')\n !\n IF (use_acc()) THEN\n CALL timeset(routineN//\"_acc_sync_right\", handle3)\n CALL acc_event_synchronize(right_buffer_comm%mats(v_ki + 1, 1)%data_area%d%acc_ready)\n CALL timestop(handle3)\n END IF\n\n right_src_p = right_pgrid(right_src_prow, right_src_pcol)\n CALL dbcsr_data_set_pointer( &\n area=right_data_rp, &\n rsize=right_sizes(idata, right_src_vrow, right_src_vcol), &\n csize=1, &\n pointee=right_buffer_comm%mats(v_ki + 1, 1)%data_area)\n right_index_rp => right_buffer_comm%mats( &\n v_ki + 1, 1 &\n )%index(1: &\n right_sizes(imeta, right_src_vrow, right_src_vcol))\n !\n right_send_p = right_pgrid(right_send_prow, right_send_pcol)\n right_recv_p = right_pgrid(right_recv_prow, right_recv_pcol)\n ! These are column-communicator relative\n IF (dbcsr_mp_has_subgroups(right_mp_obj)) THEN\n right_send_p = right_send_prow\n right_recv_p = right_recv_prow\n grp = dbcsr_mp_my_col_group(right_mp_obj)\n ELSE\n grp = dbcsr_mp_group(right_mp_obj)\n END IF\n !\n CALL timeset(routineN//\"_metrocomm2\", handle2)\n CALL dbcsr_irecv_any(right_data_rp, right_recv_p, &\n grp, right_data_rr(v_ki + 1), tag=right_src_vrow)\n CALL mp_irecv(right_index_rp, right_recv_p, &\n grp, right_index_rr(v_ki + 1), tag=right_src_vrow)\n CALL dbcsr_isend_any(right_data_sp, right_send_p, &\n grp, right_data_sr(v_ki + 1), tag=right_dst_vrow)\n CALL mp_isend(right_index_sp, right_send_p, &\n grp, right_index_sr(v_ki + 1), tag=right_dst_vrow)\n dbcsr_mpi_statistics%nexchanged = dbcsr_mpi_statistics%nexchanged + 1\n CALL count_mpi_statistics(dbcsr_mpi_statistics%data_size(1, :), &\n dbcsr_data_get_size(right_data_rp), &\n data_type_byte, &\n dbcsr_mpi_statistics%data_size_breakdown(:, :, 1))\n CALL timestop(handle2)\n END DO\n END IF xfer_right\n !\n ! Wait for left matrix transfer completion. Wait in all but\n ! the first loop iteration.\n CALL timeset(routineN//\"_metrocomm3\", handle2)\n wait_left: IF (v_ki_left .EQ. left_col_nimages) THEN\n ! Reset index\n v_ki_left = 0\n IF (debug_mod) WRITE (*, '(1X,A)') routineN//\" waiting for left\"\n CALL mp_waitall(left_data_sr)\n CALL mp_waitall(left_data_rr)\n CALL mp_waitall(left_index_sr)\n CALL mp_waitall(left_index_rr)\n !\n ! Repoint indices of left matrices\n DO v_ki = 0, left_col_nimages - 1\n CALL dbcsr_repoint_index(left_buffer_calc%mats(1, v_ki + 1))\n left_buffer_calc%mats(1, v_ki + 1)%valid = .TRUE.\n END DO\n END IF wait_left\n CALL timestop(handle2)\n !\n ! Left matrix transfer. Transfer in all but the last processor images.\n xfer_left: IF (v_ki_left .EQ. 0 .AND. metronome + left_col_nimages .LT. nvirt_k) THEN\n DO v_ki = 0, left_col_nimages - 1\n ! Calculate the process to send to.\n CALL image_calculator(left_set%image_dist, &\n prow=left_send_prow, rowi=left_send_irow, & ! output\n pcol=left_send_pcol, coli=left_send_icol, & ! output\n vprow=left_send_vrow, vpcol=left_send_vcol, & ! output\n myvprow=left_myfirstvrow, & ! nothing happens in the rows\n ! go through all my column images\n myvpcol=v_ki + left_myfirstvcol, &\n ! send to process left_col_nimages left in the grid\n vpcol_shift=-left_col_nimages, &\n shifting='0')\n ! Calculate which data I send.\n CALL image_calculator(left_set%image_dist, &\n prow=left_dst_prow, rowi=left_dst_irow, &\n pcol=left_dst_pcol, coli=left_dst_icol, &\n vprow=left_dst_vrow, vpcol=left_dst_vcol, &\n myvprow=left_myfirstvrow, &\n ! go through all my column images\n myvpcol=v_ki + left_myfirstvcol, &\n vpcol_shift=metronome, &\n ! This is with relative shifting.\n shifting='L')\n !\n left_dst_p = left_pgrid(left_dst_prow, left_dst_pcol)\n CALL dbcsr_data_set_pointer( &\n area=left_data_sp, &\n rsize=left_sizes(idata, left_dst_vrow, left_dst_vcol), &\n csize=1, &\n pointee=left_buffer_calc%mats(1, v_ki + 1)%data_area)\n left_index_sp => left_buffer_calc%mats( &\n 1, v_ki + 1 &\n )%index(1: &\n left_sizes(imeta, left_dst_vrow, left_dst_vcol))\n !\n ! Calculate the process to receive from\n CALL image_calculator(left_set%image_dist, &\n prow=left_recv_prow, rowi=left_recv_irow, &\n pcol=left_recv_pcol, coli=left_recv_icol, &\n vprow=left_recv_vrow, vpcol=left_recv_vcol, &\n myvprow=left_myfirstvrow, &\n myvpcol=v_ki + left_myfirstvcol, &\n vpcol_shift=+left_col_nimages, & ! just the opposite as \"send to\"\n shifting='0')\n ! Calculate which data I receive\n CALL image_calculator(left_set%image_dist, &\n prow=left_src_prow, rowi=left_src_irow, &\n pcol=left_src_pcol, coli=left_src_icol, &\n vprow=left_src_vrow, vpcol=left_src_vcol, &\n myvprow=left_myfirstvrow, &\n myvpcol=v_ki + left_myfirstvcol, &\n ! receive window moves with the metronome\n vpcol_shift=metronome + left_col_nimages, &\n shifting='L')\n !\n IF (use_acc()) THEN\n CALL timeset(routineN//\"_acc_sync_left\", handle3)\n CALL acc_event_synchronize(left_buffer_comm%mats(1, v_ki + 1)%data_area%d%acc_ready)\n CALL timestop(handle3)\n END IF\n\n left_src_p = left_pgrid(left_src_prow, left_src_pcol)\n CALL dbcsr_data_set_pointer( &\n area=left_data_rp, &\n rsize=left_sizes(idata, left_src_vrow, left_src_vcol), &\n csize=1, &\n pointee=left_buffer_comm%mats(1, v_ki + 1)%data_area)\n left_index_rp => left_buffer_comm%mats( &\n 1, v_ki + 1 &\n )%index(1: &\n left_sizes(imeta, left_src_vrow, left_src_vcol))\n !\n left_send_p = left_pgrid(left_send_prow, left_send_pcol)\n left_recv_p = left_pgrid(left_recv_prow, left_recv_pcol)\n ! These are column-communicator relative\n IF (dbcsr_mp_has_subgroups(left_mp_obj)) THEN\n left_send_p = left_send_pcol\n left_recv_p = left_recv_pcol\n grp = dbcsr_mp_my_row_group(left_mp_obj)\n ELSE\n grp = dbcsr_mp_group(left_mp_obj)\n END IF\n !\n CALL timeset(routineN//\"_metrocomm4\", handle2)\n CALL dbcsr_irecv_any(left_data_rp, left_recv_p, &\n grp, left_data_rr(v_ki + 1), tag=left_src_vcol)\n CALL mp_irecv(left_index_rp, left_recv_p, &\n grp, left_index_rr(v_ki + 1), tag=left_src_vcol)\n CALL dbcsr_isend_any(left_data_sp, left_send_p, &\n grp, left_data_sr(v_ki + 1), tag=left_dst_vcol)\n CALL mp_isend(left_index_sp, left_send_p, &\n grp, left_index_sr(v_ki + 1), tag=left_dst_vcol)\n dbcsr_mpi_statistics%nexchanged = dbcsr_mpi_statistics%nexchanged + 1\n CALL count_mpi_statistics(dbcsr_mpi_statistics%data_size(2, :), &\n dbcsr_data_get_size(left_data_rp), &\n data_type_byte, &\n dbcsr_mpi_statistics%data_size_breakdown(:, :, 2))\n CALL timestop(handle2)\n END DO\n END IF xfer_left\n !\n ! Do multiplication\n v_ki_left = v_ki_left + 1\n v_ki_right = v_ki_right + 1\n IF (debug_mod) THEN\n CALL dbcsr_print(left_buffer_calc%mats(1, v_ki_left), nodata=.TRUE.)\n CALL dbcsr_print(right_buffer_calc%mats(v_ki_right, 1), nodata=.TRUE.)\n END IF\n !\n ! from here the code for dbcsr_mm_driver_inner_init was taken\n !\n IF (.FALSE.) WRITE (*, *) routineN//\" TICK\", metronome\n ! Since the right matrix is shifted vertically, the\n ! received data always has different notions of \"local\n ! rows\". Thus the local_rows and global_rows must be\n ! recalculated.\n CALL dbcsr_reset_vlocals(right_buffer_calc%mats(v_ki_right, 1), &\n right_set%image_dist)\n CALL dbcsr_reset_vlocals(left_buffer_calc%mats(1, v_ki_left), &\n left_set%image_dist)\n !\n CALL ensure_array_size(k_sizes, ub=array_size(right_buffer_calc%mats(v_ki_right, 1)%local_rows))\n CALL local_filter(array_data(right_buffer_calc%mats(v_ki_right, 1)%row_blk_size), &\n array_size(right_buffer_calc%mats(v_ki_right, 1)%local_rows), &\n array_data(right_buffer_calc%mats(v_ki_right, 1)%local_rows), &\n k_sizes)\n !\n IF (use_acc()) THEN\n CALL dbcsr_data_host2dev(left_buffer_calc%mats(1, v_ki_left)%data_area)\n CALL dbcsr_data_host2dev(right_buffer_calc%mats(v_ki_right, 1)%data_area)\n CALL acc_transpose_blocks(right_buffer_calc%mats(v_ki_right, 1), trs_stackbuf_calc, &\n k_sizes, n_sizes, &\n row_blk_sizes2enum, enum2row_blk_sizes, &\n col_blk_sizes2enum, enum2col_blk_sizes)\n END IF\n\n ! Sets the local right-matrix columns\n IF (otf_filtering) THEN\n left_norms(:) = huge_norm\n right_norms(:) = huge_norm\n CALL calculate_norms(right_buffer_calc%mats(v_ki_right, 1), &\n right_norms, k_sizes, n_sizes)\n CALL calculate_norms(left_buffer_calc%mats(1, v_ki_left), &\n left_norms, m_sizes, k_sizes)\n END IF\n\n ! Wait for left and right buffers transfer to device before proceeding\n IF (use_acc()) THEN\n CALL timeset(routineN//\"_sync_h2d\", handle2)\n CALL acc_device_synchronize()\n CALL timestop(handle2)\n END IF\n !\n flop_single = 0\n threads_finished = 0\n\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (left_buffer_calc, right_buffer_calc, &\n!$OMP v_ki_left, v_ki_right, handle2, handle3, &\n!$OMP product_matrix, multrec,&\n!$OMP filter_eps, right_norms, left_norms, row_max_epss, &\n!$OMP keep_sparsity,threads_finished, &\n!$OMP right_data_sr, right_data_rr, right_index_sr, right_index_rr, &\n!$OMP left_data_sr, left_data_rr, left_index_sr, left_index_rr, &\n!$OMP dbcsr_cfg, k_sizes, nvirt_k, metronome) &\n!$OMP PRIVATE (ithread,nthreads,threads_finished_read) &\n!$OMP REDUCTION (+: flop_single)\n ithread = 0; nthreads = 1\n!$ ithread = omp_get_thread_num(); nthreads = omp_get_num_threads()\n\n CALL timeset(routineN//\"_multrec\", handle2)\n\n CALL dbcsr_mm_multrec_multiply(multrec(ithread)%p, &\n left=left_buffer_calc%mats(1, v_ki_left), &\n right=right_buffer_calc%mats(v_ki_right, 1), &\n flop=flop_single, &\n a_norms=left_norms, b_norms=right_norms, &\n k_sizes=k_sizes)\n\n IF (metronome == nvirt_k - 1) THEN\n CALL timeset(routineN//\"_multrec_finalize\", handle3)\n CALL dbcsr_mm_multrec_finalize(multrec(ithread)%p)\n DEALLOCATE (multrec(ithread)%p)\n CALL timestop(handle3)\n END IF\n\n!$OMP ATOMIC\n threads_finished = threads_finished + 1\n IF (dbcsr_cfg%use_comm_thread%val .AND. (ithread .EQ. 0)) THEN\n DO\n! requires OMP 3.1 (e.g. gcc >=4.7), for correctness, otherwise we keep fingers crossed\n#if defined _OPENMP && _OPENMP >= 200711\n!$OMP ATOMIC READ\n#endif\n threads_finished_read = threads_finished\n IF (threads_finished_read .EQ. nthreads) EXIT\n CALL mp_testany(right_data_sr)\n CALL mp_testany(right_data_rr)\n CALL mp_testany(left_data_sr)\n CALL mp_testany(left_data_rr)\n CALL mp_testany(right_index_sr)\n CALL mp_testany(right_index_rr)\n CALL mp_testany(left_index_sr)\n CALL mp_testany(left_index_rr)\n END DO\n END IF\n!$OMP BARRIER\n CALL timestop(handle2)\n\n!$OMP END PARALLEL\n flop_total = flop_total + flop_single\n !\n ! Move to the next images\n IF (v_ki_left .EQ. left_col_nimages) THEN\n CALL dbcsr_switch(left_buffer_calc, left_buffer_comm)\n END IF\n IF (v_ki_right .EQ. right_row_nimages) THEN\n CALL dbcsr_switch(right_buffer_calc, right_buffer_comm)\n CALL dbcsr_switch(trs_stackbuf_calc, trs_stackbuf_comm)\n END IF\n\n END DO grouped_k_index\n CALL timestop(handle1)\n CALL m_memory(mem)\n max_memory = MAX(max_memory, REAL(mem))\n\n IF (use_acc()) THEN\n CALL dbcsr_data_release(trs_stackbuf_1)\n CALL dbcsr_data_release(trs_stackbuf_2)\n DEALLOCATE (row_blk_sizes2enum, enum2row_blk_sizes)\n DEALLOCATE (col_blk_sizes2enum, enum2col_blk_sizes)\n END IF\n\n IF (ALLOCATED(right_norms)) THEN\n DEALLOCATE (right_norms)\n END IF\n IF (ALLOCATED(left_norms)) THEN\n DEALLOCATE (left_norms)\n END IF\n IF (ALLOCATED(row_max_epss)) THEN\n DEALLOCATE (row_max_epss)\n END IF\n !\n CALL dbcsr_destroy_array(right_buffer_2)\n CALL dbcsr_destroy_array(left_buffer_2)\n DEALLOCATE (my_sizes)\n !\n CALL dbcsr_data_clear_pointer(left_data_sp)\n CALL dbcsr_data_clear_pointer(left_data_rp)\n CALL dbcsr_data_clear_pointer(right_data_sp)\n CALL dbcsr_data_clear_pointer(right_data_rp)\n CALL dbcsr_data_release(left_data_sp)\n CALL dbcsr_data_release(left_data_rp)\n CALL dbcsr_data_release(right_data_sp)\n CALL dbcsr_data_release(right_data_rp)\n !\n DEALLOCATE (left_data_rr, left_data_sr, left_index_rr, left_index_sr, &\n right_data_rr, right_data_sr, right_index_rr, right_index_sr)\n !\n !\n IF (debug_mod) THEN\n v_ki = 0\n DO i = 1, SIZE(product_matrix%blk_p)\n v_ki = MAX(v_ki, ABS(product_matrix%blk_p(i)))\n END DO\n WRITE (*, *) routineN//\" Actual final size\", &\n LOG(REAL(dbcsr_data_get_size(product_matrix%data_area)))/LOG(10.0), &\n LOG(REAL(v_ki))/LOG(10.0)\n END IF\n !\n flop = flop_total\n DEALLOCATE (left_buffer_2, right_buffer_2)\n DEALLOCATE (m_sizes, n_sizes)\n IF (ASSOCIATED(k_sizes)) DEALLOCATE (k_sizes)\n !\n CALL timestop(handle)\n END SUBROUTINE multiply_cannon\n\n SUBROUTINE multiply_cannon_g2g(left_set, right_set, product_matrix, &\n retain_sparsity, &\n filter_eps, flop, keep_product_data)\n !! Multiplies two DBCSR matrices\n !!\n !! This function is expected to be called only if __DBCSR_ACC_G2G\n !! is enabled and the data type is FP64.\n !!\n !! If __DBCSR_ACC is enabled, norms are calculated on the GPU and\n !! MPI calls reference buffers on the GPU device. Input matrices\n !! are copied from host to device only once. For the right matrix,\n !! transpose kernel is also called only once and the transposed\n !! matrix is transferred over MPI to neighbors.\n !!\n !! If __DBCSR_ACC is not enabled, all calculations are performed on\n !! the CPU and MPI calls reference host buffers.\n\n TYPE(dbcsr_2d_array_type), POINTER :: left_set, right_set\n !! set of imaged left matrices\n !! set of imaged right matrices\n TYPE(dbcsr_type), INTENT(INOUT) :: product_matrix\n !! DBCSR product matrix\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n !! retain the sparsity of the existing product matrix; default is no\n REAL(kind=real_8), INTENT(in), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT) :: flop\n !! effective flop\n LOGICAL, INTENT(IN) :: keep_product_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'multiply_cannon'\n INTEGER, PARAMETER :: idata = 1, ileft = 0, imeta = 2, &\n iright = 2\n\n INTEGER :: data_type, data_type_byte, handle, handle1, handle2, handle3, i, ithread, &\n left_col_image, left_col_mult, left_col_nimages, left_dst_icol, left_dst_irow, &\n left_dst_p, left_dst_pcol, left_dst_prow, left_dst_vcol, left_dst_vrow, left_max_nblks, &\n left_max_nze, left_myfirstvcol, left_myfirstvrow, left_mypcol, left_myprow, left_npcols, &\n left_nprows, left_recv_icol, left_recv_irow, left_recv_p, left_recv_pcol, left_recv_prow, &\n left_recv_vcol, left_recv_vrow, left_row_image, left_row_mult, left_row_nimages, &\n left_send_icol, left_send_irow, left_send_p, left_send_pcol, left_send_prow\n INTEGER :: left_send_vcol, left_send_vrow, left_src_icol, left_src_irow, left_src_p, &\n left_src_pcol, left_src_prow, left_src_vcol, left_src_vrow, metronome, min_nimages, &\n mynode, nblkrows_used, nsteps_k, nthreads, numnodes, nvirt_k, &\n output_unit, right_col_image, right_col_mult, right_col_nimages, right_dst_icol, &\n right_dst_irow, right_dst_p, right_dst_pcol, right_dst_prow, right_dst_vcol, &\n right_dst_vrow, right_max_nblks, right_max_nze, right_myfirstvcol, right_myfirstvrow, &\n right_mypcol, right_myprow, right_npcols, right_nprows, right_recv_icol, right_recv_irow\n INTEGER :: right_recv_p, right_recv_pcol, right_recv_prow, right_recv_vcol, right_recv_vrow, &\n right_row_image, right_row_mult, right_row_nimages, right_send_icol, right_send_irow, &\n right_send_p, right_send_pcol, right_send_prow, right_send_vcol, right_send_vrow, &\n right_src_icol, right_src_irow, right_src_p, right_src_pcol, right_src_prow, &\n right_src_vcol, right_src_vrow, row, size_guess, size_guess_init, stat, threads_finished, &\n threads_finished_read, v_ki, v_ki_left, v_ki_right, max_nblks\n INTEGER :: left_numnodes, right_numnodes, left_mynode, right_mynode\n INTEGER :: msglen\n INTEGER(KIND=int_8) :: flop_single, flop_total, mem\n INTEGER, ALLOCATABLE, DIMENSION(:) :: row_counts, total_row_counts\n INTEGER, ALLOCATABLE, DIMENSION(:, :, :) :: left_sizes, my_sizes, right_sizes\n INTEGER, ALLOCATABLE, DIMENSION(:, :, :, :) :: all_sizes\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_blk_sizes2enum, enum2col_blk_sizes, &\n enum2row_blk_sizes, m_sizes, n_sizes, &\n row_blk_sizes2enum, left_index_rp, left_index_sp, &\n right_index_rp, right_index_sp\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: k_sizes\n INTEGER, DIMENSION(:, :), POINTER, CONTIGUOUS :: left_pgrid, product_pgrid, right_pgrid\n INTEGER, SAVE :: mult_id = 0\n LOGICAL :: keep_sparsity, list_indexing, &\n otf_filtering\n LOGICAL :: copy_left, copy_right\n\n REAL(kind=sp), ALLOCATABLE, DIMENSION(:) :: left_norms, right_norms, &\n row_max_epss\n REAL(kind=sp) :: filter_eps_sp\n TYPE(dbcsr_2d_array_type), POINTER :: left_buffer_2, left_buffer_calc, &\n left_buffer_comm, right_buffer_2, right_buffer_calc, right_buffer_comm\n TYPE(dbcsr_data_obj) :: left_data_rp, left_data_sp, &\n right_data_rp, right_data_sp\n TYPE(dbcsr_data_obj), POINTER :: trs_stackbuf_calc, &\n trs_stackbuf_comm\n TYPE(dbcsr_data_obj), TARGET :: trs_stackbuf_1, trs_stackbuf_2\n TYPE(dbcsr_data_obj) :: normsbuf, offsetsbuf, nelemsbuf\n TYPE(dbcsr_mm_multrec_type_p), DIMENSION(:), ALLOCATABLE :: multrec\n TYPE(dbcsr_mp_obj) :: left_mp_obj, product_mp_obj, &\n right_mp_obj\n TYPE(mp_comm_type) :: grp, left_grp, right_grp, mp_group\n TYPE(mp_request_type), DIMENSION(:), ALLOCATABLE :: left_data_rr, left_data_sr, left_index_rr, &\n left_index_sr, right_data_rr, right_data_sr, right_index_rr, right_index_sr\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n NULLIFY (trs_stackbuf_calc, trs_stackbuf_comm)\n NULLIFY (row_blk_sizes2enum, enum2row_blk_sizes)\n NULLIFY (col_blk_sizes2enum, enum2col_blk_sizes)\n NULLIFY (k_sizes)\n !\n ALLOCATE (left_buffer_2, right_buffer_2)\n mult_id = mult_id + 1\n\n IF (PRESENT(retain_sparsity)) THEN\n keep_sparsity = retain_sparsity\n ELSE\n keep_sparsity = .FALSE.\n END IF\n otf_filtering = PRESENT(filter_eps)\n\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (multrec, nthreads, product_matrix)\n!$OMP MASTER\n nthreads = 1\n!$ nthreads = OMP_GET_NUM_THREADS()\n IF (.NOT. ASSOCIATED(product_matrix%wms)) &\n DBCSR_ABORT(\"Work matrices do not exist\")\n IF (SIZE(product_matrix%wms) .NE. nthreads) &\n DBCSR_ABORT(\"Work matrices not correctly sized.\")\n ALLOCATE (multrec(0:nthreads - 1))\n!$OMP END MASTER\n!$OMP END PARALLEL\n\n output_unit = default_output_unit\n flop_total = 0\n ! Set up variables\n data_type = dbcsr_get_data_type(product_matrix)\n data_type_byte = dbcsr_datatype_sizeof(data_type)\n left_row_nimages = left_set%image_dist%i%row_decimation\n left_row_mult = left_set%image_dist%i%row_multiplicity\n left_col_nimages = left_set%image_dist%i%col_decimation\n left_col_mult = left_set%image_dist%i%col_multiplicity\n right_row_nimages = right_set%image_dist%i%row_decimation\n right_row_mult = right_set%image_dist%i%row_multiplicity\n right_col_nimages = right_set%image_dist%i%col_decimation\n right_col_mult = right_set%image_dist%i%col_multiplicity\n left_mp_obj = dbcsr_distribution_mp(left_set%image_dist%i%main)\n right_mp_obj = dbcsr_distribution_mp(right_set%image_dist%i%main)\n product_mp_obj = dbcsr_distribution_mp(product_matrix%dist)\n numnodes = dbcsr_mp_numnodes(product_mp_obj)\n mynode = dbcsr_mp_mynode(product_mp_obj)\n left_nprows = dbcsr_mp_nprows(left_mp_obj)\n left_npcols = dbcsr_mp_npcols(left_mp_obj)\n left_myprow = dbcsr_mp_myprow(left_mp_obj)\n left_mypcol = dbcsr_mp_mypcol(left_mp_obj)\n left_myfirstvrow = dbcsr_mp_myprow(left_mp_obj)*left_row_nimages\n left_myfirstvcol = dbcsr_mp_mypcol(left_mp_obj)*left_col_nimages\n right_nprows = dbcsr_mp_nprows(right_mp_obj)\n right_npcols = dbcsr_mp_npcols(right_mp_obj)\n right_myprow = dbcsr_mp_myprow(right_mp_obj)\n right_mypcol = dbcsr_mp_mypcol(right_mp_obj)\n right_myfirstvrow = dbcsr_mp_myprow(right_mp_obj)*right_row_nimages\n right_myfirstvcol = dbcsr_mp_mypcol(right_mp_obj)*right_col_nimages\n mp_group = dbcsr_mp_group(product_mp_obj)\n left_pgrid => dbcsr_mp_pgrid(left_mp_obj)\n right_pgrid => dbcsr_mp_pgrid(right_mp_obj)\n product_pgrid => dbcsr_mp_pgrid(product_mp_obj)\n CALL dbcsr_mp_grid_setup(product_mp_obj)\n CALL dbcsr_mp_grid_setup(left_mp_obj)\n CALL dbcsr_mp_grid_setup(right_mp_obj)\n !\n ! Dummy checks\n ! left/right matching\n IF (left_col_nimages .NE. right_row_mult) &\n DBCSR_ABORT(\"Left/Right image mismatch\")\n IF (left_col_mult .NE. right_row_nimages) &\n DBCSR_ABORT(\"Left/Right image mismatch\")\n IF (left_col_nimages*left_npcols .NE. right_row_nimages*right_nprows) &\n DBCSR_ABORT(\"Left/Right total mismatch\")\n ! product/left matching\n IF (left_row_mult*dbcsr_mp_nprows(product_mp_obj) .NE. left_row_nimages*left_nprows) &\n DBCSR_ABORT(\"Product/Left total mismatch\")\n ! product/left matching\n IF (right_col_mult*dbcsr_mp_npcols(product_mp_obj) .NE. right_col_nimages*right_npcols) &\n DBCSR_ABORT(\"Product/Right total mismatch\")\n ! Limitations\n IF (left_row_nimages .NE. 1) &\n DBCSR_ABORT(\"Product/Left matrix process grid mismatch\")\n IF (left_row_mult .NE. 1) &\n DBCSR_ABORT(\"Product/Left matrix process grid mismatch\")\n IF (right_col_nimages .NE. 1) &\n DBCSR_ABORT(\"Product/Right matrix process grid mismatch\")\n IF (right_col_mult .NE. 1) &\n DBCSR_ABORT(\"Product/Right matrix process grid mismatch\")\n\n dbcsr_mpi_statistics%nimages = MAX(dbcsr_mpi_statistics%nimages, left_row_nimages*left_col_nimages)\n dbcsr_mpi_statistics%nimages = MAX(dbcsr_mpi_statistics%nimages, right_row_nimages*right_col_nimages)\n !\n ! Exchange size data\n ALLOCATE (my_sizes(4, MAX(left_row_nimages, right_row_nimages), &\n MAX(left_col_nimages, right_col_nimages)))\n my_sizes(:, :, :) = 0\n DO left_row_image = 1, left_row_nimages\n DO left_col_image = 1, left_col_nimages\n my_sizes(idata + ileft, left_row_image, left_col_image) &\n = dbcsr_data_get_size_referenced( &\n left_set%mats(left_row_image, left_col_image)%data_area)\n my_sizes(imeta + ileft, left_row_image, left_col_image) = &\n left_set%mats(left_row_image, left_col_image)%index &\n (dbcsr_slot_size)\n END DO\n END DO\n\n DO right_row_image = 1, right_row_nimages\n DO right_col_image = 1, right_col_nimages\n my_sizes(idata + iright, right_row_image, right_col_image) &\n = dbcsr_data_get_size_referenced( &\n right_set%mats(right_row_image, right_col_image)%data_area)\n my_sizes(imeta + iright, right_row_image, right_col_image) = &\n right_set%mats(right_row_image, right_col_image)%index &\n (dbcsr_slot_size)\n END DO\n END DO\n\n ALLOCATE (all_sizes(4, LBOUND(my_sizes, 2):UBOUND(my_sizes, 2), &\n LBOUND(my_sizes, 3):UBOUND(my_sizes, 3), 0:numnodes - 1))\n CALL mp_allgather(my_sizes, all_sizes, mp_group)\n !\n ! Count the maximum possible multiplies per row for on-the-fly\n ! filtering.\n per_row_eps: IF (.NOT. otf_filtering) THEN\n ! These arrays must be valid when passed to called subroutines.\n ALLOCATE (left_norms(0), right_norms(0), row_max_epss(0), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory\")\n ELSE\n IF (careful_mod) THEN\n IF (left_set%mats(1, 1)%bcsc) &\n DBCSR_ABORT(\"Can not do on-the-fly filtering with CSC-indexed matrices.\")\n END IF\n IF (dbcsr_has_local_row_index(left_set%mats(1, 1))) THEN\n nblkrows_used = dbcsr_nblkrows_local(left_set%mats(1, 1))\n ELSE\n nblkrows_used = dbcsr_nblkrows_total(left_set%mats(1, 1))\n END IF\n ALLOCATE (row_max_epss(nblkrows_used), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory for left epsilons\")\n ALLOCATE (row_counts(nblkrows_used), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory for left row counts\")\n ! The summation could be done prow-locally but it would\n ! complicate the pre-row eps calculation.\n ALLOCATE (total_row_counts(nblkrows_used), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory for left row counts\")\n ! Each prow member matrix (npcols * row_images) counts the\n ! blocks present in each of its rows.\n total_row_counts(:) = 0\n DO left_row_image = 1, left_row_nimages\n DO left_col_image = 1, left_col_nimages\n list_indexing = &\n left_set%mats(left_row_image, left_col_image)%list_indexing\n IF (careful_mod) THEN\n IF (list_indexing) THEN\n IF ((left_set%mats(left_row_image, left_col_image)%nblks)*3 .NE. &\n SIZE(left_set%mats(left_row_image, left_col_image)%coo_l)) &\n DBCSR_ABORT(\"Row count mismatch\")\n ELSE\n IF (nblkrows_used + 1 .NE. SIZE(left_set%mats(left_row_image, left_col_image)%row_p)) &\n DBCSR_ABORT(\"Row count mismatch\")\n END IF\n END IF\n IF (list_indexing) THEN\n CALL count_bins( &\n left_set%mats(left_row_image, left_col_image)%nblks, &\n left_set%mats(left_row_image, left_col_image)%coo_l(1::3), &\n nblkrows_used, row_counts)\n ELSE\n CALL dbcsr_count_row_index( &\n left_set%mats(left_row_image, left_col_image)%row_p, &\n row_counts, nblkrows_used)\n END IF\n total_row_counts(:) = total_row_counts(:) &\n + row_counts(:)\n END DO\n END DO\n ! The counted blocks are then summed up\n CALL mp_sum(total_row_counts, dbcsr_mp_my_row_group(product_mp_obj))\n ! and used to determine the maximum per-block epsilon.\n filter_eps_sp = REAL(filter_eps, KIND=KIND(row_max_epss))\n!$OMP PARALLEL DO DEFAULT (NONE) &\n!$OMP SHARED(nblkrows_used,row_max_epss,filter_eps_sp,&\n!$OMP total_row_counts)\n DO row = 1, nblkrows_used\n row_max_epss(row) &\n = (filter_eps_sp &\n /REAL(MAX(1, total_row_counts(row)), KIND=KIND(row_max_epss)))**2\n END DO\n!$OMP END PARALLEL DO\n !\n DEALLOCATE (row_counts)\n DEALLOCATE (total_row_counts)\n END IF per_row_eps\n !\n ! The main transfer loop goes through the virtual rows/columns.\n ! The number of steps may be smaller if the grid dimension is very\n ! non-optimal (both left column images and right row images are >\n ! 1).\n min_nimages = MIN(left_col_nimages, right_row_nimages)\n nvirt_k = left_npcols*left_col_nimages\n nsteps_k = nvirt_k/min_nimages\n !\n ! Translate the all_sizes to account for pre-distribution. This\n ! is just done to simplify lookups.\n ALLOCATE (left_sizes(2, 0:left_nprows*left_row_nimages - 1, 0:nvirt_k - 1))\n left_sizes = -1\n DO left_src_vcol = 0, left_col_nimages*left_npcols - 1\n DO left_src_vrow = 0, left_row_nimages*left_nprows - 1\n ! Calculate what was shifted. The left_src_v{row,col} are\n ! the \"source\" rows/columns; the left_dst are the shifted\n ! targets where the data was placed in make_images.\n CALL image_calculator(left_set%image_dist, &\n prow=left_dst_prow, pcol=left_dst_pcol, &\n rowi=left_dst_irow, coli=left_dst_icol, &\n myvprow=left_src_vrow, myvpcol=left_src_vcol, &\n shifting='l')\n left_dst_p = left_pgrid(left_dst_prow, left_dst_pcol)\n left_sizes(idata, left_src_vrow, left_src_vcol) = &\n all_sizes( &\n idata + ileft, left_dst_irow, left_dst_icol, left_dst_p)\n left_sizes(imeta, left_src_vrow, left_src_vcol) = &\n all_sizes( &\n imeta + ileft, left_dst_irow, left_dst_icol, left_dst_p)\n END DO\n END DO\n !\n ALLOCATE (right_sizes(2, 0:nvirt_k - 1, 0:right_npcols*right_col_nimages - 1))\n right_sizes = -1\n DO right_src_vcol = 0, right_col_nimages*right_npcols - 1\n DO right_src_vrow = 0, right_row_nimages*right_nprows - 1\n ! Calculate what was shifted. The right_src_v{row,col} are\n ! the \"source\" rows/columns; the right_dst are the shifted\n ! targets where the data was placed in make_images.\n CALL image_calculator(right_set%image_dist, &\n prow=right_dst_prow, pcol=right_dst_pcol, &\n rowi=right_dst_irow, coli=right_dst_icol, &\n myvprow=right_src_vrow, myvpcol=right_src_vcol, &\n shifting='r')\n right_dst_p = right_pgrid(right_dst_prow, right_dst_pcol)\n right_sizes(idata, right_src_vrow, right_src_vcol) = &\n all_sizes( &\n idata + iright, right_dst_irow, right_dst_icol, right_dst_p)\n right_sizes(imeta, right_src_vrow, right_src_vcol) = &\n all_sizes( &\n imeta + iright, right_dst_irow, right_dst_icol, right_dst_p)\n END DO\n END DO\n !\n ! Setup product work areas\n left_max_nze = MAXVAL(all_sizes(idata + ileft, :, :, :))\n left_max_nblks = MAXVAL(all_sizes(imeta + ileft, :, :, :))\n right_max_nze = MAXVAL(all_sizes(idata + iright, :, :, :))\n right_max_nblks = MAXVAL(all_sizes(imeta + iright, :, :, :))\n !!\n ! Evaluate sizes for workspaces\n IF (.NOT. keep_sparsity) THEN\n IF (use_acc()) THEN\n size_guess_init = product_matrix_size_guess(left_set%mats(1, 1), right_set%mats(1, 1), product_matrix, &\n left_max_nze, right_max_nze, &\n left_col_nimages, right_row_nimages, &\n nthreads)\n ELSE\n size_guess_init = 1\n END IF\n END IF\n ithread = 0\n!$OMP PARALLEL DEFAULT(NONE) &\n!$OMP PRIVATE (i, size_guess, ithread) &\n!$OMP SHARED (product_matrix, left_max_nze, right_max_nze) &\n!$OMP SHARED (left_set, right_set, &\n!$OMP left_col_nimages, right_row_nimages) &\n!$OMP SHARED (nthreads, keep_sparsity, mynode, size_guess_init)\n !\n!$ ithread = OMP_GET_THREAD_NUM()\n ! The work arrays have to be setup (actually, not quite sure).\n i = ithread + 1\n size_guess = product_matrix%wms(i)%datasize ! Should be minimal\n IF (.NOT. keep_sparsity) THEN\n size_guess = MAX(size_guess, size_guess_init)\n END IF\n CALL dbcsr_data_ensure_size(product_matrix%wms(i)%data_area, &\n size_guess)\n CALL dbcsr_data_set_size_referenced(product_matrix%wms(i)%data_area, &\n product_matrix%wms(i)%datasize)\n ! XXXXXXX a quick fix right now, allocation with size 1 might actually not be needed at all,\n ! but something expects this to be associated\n CALL ensure_array_size(product_matrix%wms(i)%row_i, ub=1)\n CALL ensure_array_size(product_matrix%wms(i)%col_i, ub=1)\n CALL ensure_array_size(product_matrix%wms(i)%blk_p, ub=1)\n!$OMP END PARALLEL\n\n ! update capacity of memory-pools, +1 for the dense case\n IF (ASSOCIATED(memtype_abpanel_1%pool)) &\n CALL dbcsr_mempool_limit_capacity(memtype_abpanel_1%pool, &\n capacity=left_row_mult*left_col_nimages + right_row_nimages*right_col_mult + 1)\n IF (ASSOCIATED(memtype_abpanel_2%pool)) &\n CALL dbcsr_mempool_limit_capacity(memtype_abpanel_2%pool, &\n capacity=left_row_mult*left_col_nimages + right_row_nimages*right_col_mult + 1)\n IF (use_acc()) THEN\n ! enumerate the blocksizes to keep the following 2D-arrays small.\n CALL enumerate_blk_sizes(right_set%mats(1, 1)%row_blk_size%low%data, &\n dbcsr_max_row_size(right_set%mats(1, 1)), &\n row_blk_sizes2enum, enum2row_blk_sizes)\n CALL enumerate_blk_sizes(right_set%mats(1, 1)%col_blk_size%low%data, &\n dbcsr_max_col_size(right_set%mats(1, 1)), &\n col_blk_sizes2enum, enum2col_blk_sizes)\n END IF\n\n ! Save col and row communicators\n IF (dbcsr_mp_has_subgroups(right_mp_obj)) THEN\n right_grp = dbcsr_mp_my_col_group(right_mp_obj)\n ELSE\n right_grp = dbcsr_mp_group(right_mp_obj)\n END IF\n IF (dbcsr_mp_has_subgroups(left_mp_obj)) THEN\n left_grp = dbcsr_mp_my_row_group(left_mp_obj)\n ELSE\n left_grp = dbcsr_mp_group(left_mp_obj)\n END IF\n CALL mp_environ(left_numnodes, left_mynode, left_grp)\n CALL mp_environ(right_numnodes, right_mynode, right_grp)\n\n !\n ! Setup the left buffer matrices\n !\n CALL buffer_matrices_ensure_size(left_set, index_size=left_max_nblks, &\n data_size=left_max_nze)\n\n CALL setup_buffer_matrices(left_buffer_2, left_row_mult, left_col_nimages, &\n left_set%mats(1, 1), index_size=left_max_nblks, &\n data_size=left_max_nze)\n IF (otf_filtering) THEN\n ALLOCATE (left_norms(left_max_nblks), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_ABORT(\"Could not allocate memory for left norms\")\n IF (stat .NE. 0) otf_filtering = .FALSE.\n END IF\n left_buffer_calc => left_set\n left_buffer_comm => left_buffer_2\n ALLOCATE (left_data_sr(left_col_nimages))\n ALLOCATE (left_index_sr(left_col_nimages))\n ALLOCATE (left_data_rr(left_col_nimages))\n ALLOCATE (left_index_rr(left_col_nimages))\n left_data_sr = mp_request_null\n left_data_rr = mp_request_null\n left_index_sr = mp_request_null\n left_index_rr = mp_request_null\n\n ! Setup buffers for right matrix\n CALL buffer_matrices_ensure_size(right_set, index_size=right_max_nblks, &\n data_size=right_max_nze)\n\n CALL setup_buffer_matrices(right_buffer_2, right_row_nimages, right_col_mult, &\n right_set%mats(1, 1), index_size=right_max_nblks, data_size=right_max_nze)\n IF (otf_filtering) THEN\n ALLOCATE (right_norms(right_max_nblks), stat=stat)\n IF (stat .NE. 0) &\n DBCSR_WARN(\"Could not allocate memory for right norms\")\n IF (stat .NE. 0) otf_filtering = .FALSE.\n\n END IF\n IF (use_acc() .and. otf_filtering) THEN\n max_nblks = MAX(left_max_nblks, right_max_nblks)\n CALL dbcsr_data_init(normsbuf)\n CALL dbcsr_data_new(normsbuf, data_type=dbcsr_type_real_4, &\n data_size=max_nblks, memory_type=memtype_normsbuf)\n CALL dbcsr_data_init(offsetsbuf)\n CALL dbcsr_data_new(offsetsbuf, data_type=dbcsr_type_int_4, &\n data_size=max_nblks, memory_type=memtype_offsetsbuf)\n CALL dbcsr_data_init(nelemsbuf)\n CALL dbcsr_data_new(nelemsbuf, data_type=dbcsr_type_int_4, &\n data_size=max_nblks, memory_type=memtype_nelemsbuf)\n END IF\n right_buffer_calc => right_set\n right_buffer_comm => right_buffer_2\n ALLOCATE (right_data_sr(right_row_nimages))\n ALLOCATE (right_index_sr(right_row_nimages))\n ALLOCATE (right_data_rr(right_row_nimages))\n ALLOCATE (right_index_rr(right_row_nimages))\n right_data_sr = mp_request_null\n right_data_rr = mp_request_null\n right_index_sr = mp_request_null\n right_index_rr = mp_request_null\n !\n ALLOCATE (m_sizes(dbcsr_nblkrows_local(product_matrix)))\n CALL local_filter(array_data(product_matrix%row_blk_size), array_size(product_matrix%local_rows), &\n array_data(product_matrix%local_rows), m_sizes)\n ALLOCATE (n_sizes(dbcsr_nblkcols_local(product_matrix)))\n CALL local_filter(array_data(product_matrix%col_blk_size), array_size(product_matrix%local_cols), &\n array_data(product_matrix%local_cols), n_sizes)\n !\n!$OMP PARALLEL &\n!$OMP DEFAULT (NONE) &\n!$OMP SHARED (left_buffer_comm, right_buffer_comm, product_matrix,&\n!$OMP keep_sparsity, filter_eps, row_max_epss, multrec, nthreads, &\n!$OMP right_data_sr, right_data_rr, left_data_sr, left_data_rr,&\n!$OMP right_index_sr, right_index_rr, left_index_sr, left_index_rr,&\n!$OMP m_sizes, n_sizes, keep_product_data), &\n!$OMP PRIVATE(ithread)\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n ALLOCATE (multrec(ithread)%p)\n CALL dbcsr_mm_multrec_init(multrec(ithread)%p, &\n product=product_matrix, &\n keep_sparsity=keep_sparsity, &\n eps=filter_eps, &\n row_max_epss=row_max_epss, &\n block_estimate=MAX(product_matrix%nblks, &\n left_buffer_comm%mats(1, 1)%nblks, &\n right_buffer_comm%mats(1, 1)%nblks)/nthreads, &\n right_row_blk_size=array_data(right_buffer_comm%mats(1, 1)%row_blk_size), &\n m_sizes=m_sizes, n_sizes=n_sizes, &\n keep_product_data=keep_product_data)\n!$OMP END PARALLEL\n !\n ! Setup indexing\n CALL setup_rec_index_2d(left_set, left_row_nimages, left_col_nimages)\n CALL setup_rec_index_2d(right_set, right_row_nimages, right_col_nimages)\n !\n ! Setup the send/receive data pointers\n CALL dbcsr_data_init(left_data_sp)\n CALL dbcsr_data_init(left_data_rp)\n CALL dbcsr_data_init(right_data_sp)\n CALL dbcsr_data_init(right_data_rp)\n CALL dbcsr_data_new(left_data_sp, data_type)\n CALL dbcsr_data_new(left_data_rp, data_type)\n CALL dbcsr_data_new(right_data_sp, data_type)\n CALL dbcsr_data_new(right_data_rp, data_type)\n\n ! Setup transpose stackbuffers\n IF (use_acc()) THEN\n CALL dbcsr_data_init(trs_stackbuf_1)\n CALL dbcsr_data_init(trs_stackbuf_2)\n CALL dbcsr_data_new(trs_stackbuf_1, data_type=dbcsr_type_int_4, &\n data_size=2*right_max_nblks, memory_type=memtype_trsbuffer_1)\n CALL dbcsr_data_new(trs_stackbuf_2, data_type=dbcsr_type_int_4, &\n data_size=2*right_max_nblks, memory_type=memtype_trsbuffer_2)\n trs_stackbuf_calc => trs_stackbuf_1\n trs_stackbuf_comm => trs_stackbuf_2\n END IF\n !\n ! Reset indices for virtual images\n v_ki_right = 0\n v_ki_left = 0\n !\n ! Here is the main loop.\n !\n ! In the first loop iteration, the data is fetched from the\n ! sources. In the remaining iterations, the data are exchanged\n ! among neighbors. In the last loop only calculations take place.\n !\n CALL timeset(routineN//\"_loop\", handle1)\n copy_left = .true.\n copy_right = .true.\n !\n grouped_k_index: DO metronome = 0, nvirt_k - 1\n ! Wait for right matrix transfer completion. Wait in all but\n ! the first loop iteration.\n CALL timeset(routineN//\"_metrocomm1\", handle2)\n wait_right: IF (v_ki_right .EQ. right_row_nimages) THEN\n ! Reset index\n v_ki_right = 0\n IF (debug_mod) WRITE (*, '(1X,A)') routineN//\" waiting for right\"\n !\n CALL mp_waitall(right_data_sr)\n CALL mp_waitall(right_data_rr)\n CALL mp_waitall(right_index_sr)\n CALL mp_waitall(right_index_rr)\n !\n ! Repoint indices of right matrices\n DO v_ki = 0, right_row_nimages - 1\n CALL dbcsr_repoint_index(right_buffer_calc%mats(v_ki + 1, 1))\n right_buffer_calc%mats(v_ki + 1, 1)%valid = .TRUE.\n END DO\n END IF wait_right\n CALL timestop(handle2)\n !\n ! Wait for left matrix transfer completion. Wait in all but\n ! the first loop iteration.\n CALL timeset(routineN//\"_metrocomm3\", handle2)\n wait_left: IF (v_ki_left .EQ. left_col_nimages) THEN\n ! Reset index\n v_ki_left = 0\n IF (debug_mod) WRITE (*, '(1X,A)') routineN//\" waiting for left\"\n CALL mp_waitall(left_data_sr)\n CALL mp_waitall(left_data_rr)\n CALL mp_waitall(left_index_sr)\n CALL mp_waitall(left_index_rr)\n !\n ! Repoint indices of left matrices\n DO v_ki = 0, left_col_nimages - 1\n CALL dbcsr_repoint_index(left_buffer_calc%mats(1, v_ki + 1))\n left_buffer_calc%mats(1, v_ki + 1)%valid = .TRUE.\n END DO\n END IF wait_left\n CALL timestop(handle2)\n\n v_ki_left = v_ki_left + 1\n v_ki_right = v_ki_right + 1\n\n IF (debug_mod) THEN\n CALL dbcsr_print(left_buffer_calc%mats(1, v_ki_left), nodata=.TRUE.)\n CALL dbcsr_print(right_buffer_calc%mats(v_ki_right, 1), nodata=.TRUE.)\n END IF\n !\n ! from here the code for dbcsr_mm_driver_inner_init was taken\n !\n IF (.FALSE.) WRITE (*, *) routineN//\" TICK\", metronome\n ! Since the right matrix is shifted vertically, the\n ! received data always has different notions of \"local\n ! rows\". Thus the local_rows and global_rows must be\n ! recalculated.\n CALL dbcsr_reset_vlocals(right_buffer_calc%mats(v_ki_right, 1), &\n right_set%image_dist)\n CALL dbcsr_reset_vlocals(left_buffer_calc%mats(1, v_ki_left), &\n left_set%image_dist)\n !\n CALL ensure_array_size(k_sizes, ub=array_size(right_buffer_calc%mats(v_ki_right, 1)%local_rows))\n CALL local_filter(array_data(right_buffer_calc%mats(v_ki_right, 1)%row_blk_size), &\n array_size(right_buffer_calc%mats(v_ki_right, 1)%local_rows), &\n array_data(right_buffer_calc%mats(v_ki_right, 1)%local_rows), &\n k_sizes)\n !\n ! Transfer left and right buffers from host to GPU memory\n IF (use_acc()) THEN\n IF (copy_left) THEN\n ! copy left buffer images to device\n DO v_ki = 1, left_col_nimages\n CALL dbcsr_data_host2dev(left_buffer_calc%mats(1, v_ki)%data_area)\n CALL timeset(routineN//\"_sync_h2d\", handle2)\n CALL acc_stream_synchronize(left_buffer_calc%mats(1, v_ki)%data_area%d%memory_type%acc_stream)\n CALL timestop(handle2)\n END DO\n copy_left = .false.\n END IF\n ! calculate norms for matrices in left buffer\n IF (otf_filtering) THEN\n left_norms(:) = huge_norm\n CALL acc_calculate_norms(left_buffer_calc%mats(1, v_ki_left), &\n left_norms, normsbuf, offsetsbuf, nelemsbuf, m_sizes, k_sizes)\n END IF\n\n IF (copy_right) THEN\n ! copy right buffer images to device\n DO v_ki = 1, right_row_nimages\n CALL dbcsr_data_host2dev(right_buffer_calc%mats(v_ki, 1)%data_area)\n CALL timeset(routineN//\"_sync_h2d\", handle2)\n CALL acc_stream_synchronize(right_buffer_calc%mats(v_ki, 1)%data_area%d%memory_type%acc_stream)\n CALL timestop(handle2)\n\n ! now transpose right buffer image\n CALL acc_transpose_blocks(right_buffer_calc%mats(v_ki, 1), trs_stackbuf_calc, &\n k_sizes, n_sizes, &\n row_blk_sizes2enum, enum2row_blk_sizes, &\n col_blk_sizes2enum, enum2col_blk_sizes)\n END DO\n ! Wait for transpose to complete before proceeding\n CALL timeset(routineN//\"_sync_h2d\", handle2)\n CALL acc_stream_synchronize(trs_stackbuf_calc%d%memory_type%acc_stream)\n CALL timestop(handle2)\n copy_right = .false.\n END IF\n ! calculate norms for matrices in right buffer\n IF (otf_filtering) THEN\n right_norms(:) = huge_norm\n CALL acc_calculate_norms(right_buffer_calc%mats(v_ki_right, 1), &\n right_norms, normsbuf, offsetsbuf, nelemsbuf, k_sizes, n_sizes)\n END IF\n END IF\n !\n ! Right matrix transfer. Transfer in all but the last loop\n ! iteration.\n xfer_right: IF (v_ki_right .EQ. 1 .AND. metronome + right_row_nimages .LT. nvirt_k) THEN\n DO v_ki = 0, right_row_nimages - 1\n ! Calculate the process to send to. It's the virtual\n ! process row -min_nimages up (i.e., smaller row number)\n ! from me.\n CALL image_calculator(right_set%image_dist, &\n prow=right_send_prow, rowi=right_send_irow, & ! output\n pcol=right_send_pcol, coli=right_send_icol, & ! output\n vprow=right_send_vrow, vpcol=right_send_vcol, & ! output\n ! myvprow goes through all of my (process row) images\n myvprow=v_ki + right_myfirstvrow, &\n myvpcol=right_myfirstvcol, & ! nothing happens in the columns\n vprow_shift=-right_row_nimages, &\n shifting='0')\n ! Calculate which data I send.\n CALL image_calculator(right_set%image_dist, &\n prow=right_dst_prow, rowi=right_dst_irow, &\n pcol=right_dst_pcol, coli=right_dst_icol, &\n vprow=right_dst_vrow, vpcol=right_dst_vcol, &\n ! myvprows goes through all of my (process row) images\n myvprow=v_ki + right_myfirstvrow, &\n myvpcol=right_myfirstvcol, & ! nothing happens in the columns\n vprow_shift=metronome, &\n ! This is with relative shifting.\n shifting='R')\n right_dst_p = right_pgrid(right_dst_prow, right_dst_pcol)\n CALL dbcsr_data_set_pointer( &\n area=right_data_sp, &\n rsize=right_sizes(idata, right_dst_vrow, right_dst_vcol), &\n csize=1, &\n pointee=right_buffer_calc%mats(v_ki + 1, 1)%data_area)\n right_index_sp => right_buffer_calc%mats( &\n v_ki + 1, 1 &\n )%index(1: &\n right_sizes(imeta, right_dst_vrow, right_dst_vcol))\n !\n ! Calculate the process to receive from\n CALL image_calculator(right_set%image_dist, &\n prow=right_recv_prow, rowi=right_recv_irow, &\n pcol=right_recv_pcol, coli=right_recv_icol, &\n vprow=right_recv_vrow, vpcol=right_recv_vcol, &\n myvprow=v_ki + right_myfirstvrow, &\n myvpcol=right_myfirstvcol, &\n vprow_shift=+right_row_nimages, & ! just the opposite as \"send to\"\n shifting='0')\n ! Calculate which data I receive\n CALL image_calculator(right_set%image_dist, &\n prow=right_src_prow, rowi=right_src_irow, &\n pcol=right_src_pcol, coli=right_src_icol, &\n vprow=right_src_vrow, vpcol=right_src_vcol, &\n myvprow=v_ki + right_myfirstvrow, &\n myvpcol=right_myfirstvcol, &\n ! receive window moves with the metronome\n vprow_shift=metronome + right_row_nimages, &\n shifting='R')\n !\n IF (use_acc()) THEN\n CALL timeset(routineN//\"_acc_sync_right\", handle3)\n CALL acc_event_synchronize(right_buffer_comm%mats(v_ki + 1, 1)%data_area%d%acc_ready)\n CALL timestop(handle3)\n END IF\n\n right_src_p = right_pgrid(right_src_prow, right_src_pcol)\n CALL dbcsr_data_set_pointer( &\n area=right_data_rp, &\n rsize=right_sizes(idata, right_src_vrow, right_src_vcol), &\n csize=1, &\n pointee=right_buffer_comm%mats(v_ki + 1, 1)%data_area)\n right_index_rp => right_buffer_comm%mats( &\n v_ki + 1, 1 &\n )%index(1: &\n right_sizes(imeta, right_src_vrow, right_src_vcol))\n !\n right_send_p = right_pgrid(right_send_prow, right_send_pcol)\n right_recv_p = right_pgrid(right_recv_prow, right_recv_pcol)\n ! These are column-communicator relative\n IF (dbcsr_mp_has_subgroups(right_mp_obj)) THEN\n right_send_p = right_send_prow\n right_recv_p = right_recv_prow\n grp = dbcsr_mp_my_col_group(right_mp_obj)\n ELSE\n grp = dbcsr_mp_group(right_mp_obj)\n END IF\n !\n CALL timeset(routineN//\"_metrocomm2\", handle2)\n IF (.not. use_acc()) THEN\n CALL dbcsr_irecv_any(right_data_rp, right_recv_p, &\n grp, right_data_rr(v_ki + 1), tag=right_src_vrow)\n ELSE\n msglen = right_sizes(idata, right_src_vrow, right_src_vcol)\n#if defined (__DBCSR_ACC)\n CALL C_F_POINTER(acc_devmem_cptr(right_buffer_comm%mats( &\n v_ki + 1, 1)%data_area%d%acc_devmem), &\n right_data_rp%d%r_dp, (/msglen/))\n#endif\n CALL mp_irecv(right_data_rp%d%r_dp, &\n right_recv_p, grp, &\n right_data_rr(v_ki + 1), tag=right_src_vrow)\n END IF\n CALL mp_irecv(right_index_rp, right_recv_p, &\n grp, right_index_rr(v_ki + 1), tag=right_src_vrow)\n IF (.not. use_acc()) THEN\n CALL dbcsr_isend_any(right_data_sp, right_send_p, &\n grp, right_data_sr(v_ki + 1), tag=right_dst_vrow)\n ELSE\n msglen = right_sizes(idata, right_dst_vrow, right_dst_vcol)\n#if defined (__DBCSR_ACC)\n CALL C_F_POINTER(acc_devmem_cptr(right_buffer_calc%mats( &\n v_ki + 1, 1)%data_area%d%acc_devmem), &\n right_data_sp%d%r_dp, (/msglen/))\n#endif\n CALL mp_isend(right_data_sp%d%r_dp, &\n right_send_p, grp, &\n right_data_sr(v_ki + 1), tag=right_dst_vrow)\n END IF\n CALL mp_isend(right_index_sp, right_send_p, &\n grp, right_index_sr(v_ki + 1), tag=right_dst_vrow)\n dbcsr_mpi_statistics%nexchanged = dbcsr_mpi_statistics%nexchanged + 1\n CALL count_mpi_statistics(dbcsr_mpi_statistics%data_size(1, :), &\n dbcsr_data_get_size(right_data_rp), &\n data_type_byte, &\n dbcsr_mpi_statistics%data_size_breakdown(:, :, 1))\n CALL timestop(handle2)\n END DO\n END IF xfer_right\n !\n ! Left matrix transfer. Transfer in all but the last processor images.\n xfer_left: IF (v_ki_left .EQ. 1 .AND. metronome + left_col_nimages .LT. nvirt_k) THEN\n DO v_ki = 0, left_col_nimages - 1\n ! Calculate the process to send to.\n CALL image_calculator(left_set%image_dist, &\n prow=left_send_prow, rowi=left_send_irow, & ! output\n pcol=left_send_pcol, coli=left_send_icol, & ! output\n vprow=left_send_vrow, vpcol=left_send_vcol, & ! output\n myvprow=left_myfirstvrow, & ! nothing happens in the rows\n ! go through all my column images\n myvpcol=v_ki + left_myfirstvcol, &\n ! send to process left_col_nimages left in the grid\n vpcol_shift=-left_col_nimages, &\n shifting='0')\n ! Calculate which data I send.\n CALL image_calculator(left_set%image_dist, &\n prow=left_dst_prow, rowi=left_dst_irow, &\n pcol=left_dst_pcol, coli=left_dst_icol, &\n vprow=left_dst_vrow, vpcol=left_dst_vcol, &\n myvprow=left_myfirstvrow, &\n ! go through all my column images\n myvpcol=v_ki + left_myfirstvcol, &\n vpcol_shift=metronome, &\n ! This is with relative shifting.\n shifting='L')\n !\n left_dst_p = left_pgrid(left_dst_prow, left_dst_pcol)\n CALL dbcsr_data_set_pointer( &\n area=left_data_sp, &\n rsize=left_sizes(idata, left_dst_vrow, left_dst_vcol), &\n csize=1, &\n pointee=left_buffer_calc%mats(1, v_ki + 1)%data_area)\n left_index_sp => left_buffer_calc%mats( &\n 1, v_ki + 1 &\n )%index(1: &\n left_sizes(imeta, left_dst_vrow, left_dst_vcol))\n !\n ! Calculate the process to receive from\n CALL image_calculator(left_set%image_dist, &\n prow=left_recv_prow, rowi=left_recv_irow, &\n pcol=left_recv_pcol, coli=left_recv_icol, &\n vprow=left_recv_vrow, vpcol=left_recv_vcol, &\n myvprow=left_myfirstvrow, &\n myvpcol=v_ki + left_myfirstvcol, &\n vpcol_shift=+left_col_nimages, & ! just the opposite as \"send to\"\n shifting='0')\n ! Calculate which data I receive\n CALL image_calculator(left_set%image_dist, &\n prow=left_src_prow, rowi=left_src_irow, &\n pcol=left_src_pcol, coli=left_src_icol, &\n vprow=left_src_vrow, vpcol=left_src_vcol, &\n myvprow=left_myfirstvrow, &\n myvpcol=v_ki + left_myfirstvcol, &\n ! receive window moves with the metronome\n vpcol_shift=metronome + left_col_nimages, &\n shifting='L')\n !\n IF (use_acc()) THEN\n CALL timeset(routineN//\"_acc_sync_left\", handle3)\n CALL acc_event_synchronize(left_buffer_comm%mats(1, v_ki + 1)%data_area%d%acc_ready)\n CALL timestop(handle3)\n END IF\n\n left_src_p = left_pgrid(left_src_prow, left_src_pcol)\n CALL dbcsr_data_set_pointer( &\n area=left_data_rp, &\n rsize=left_sizes(idata, left_src_vrow, left_src_vcol), &\n csize=1, &\n pointee=left_buffer_comm%mats(1, v_ki + 1)%data_area)\n left_index_rp => left_buffer_comm%mats( &\n 1, v_ki + 1 &\n )%index(1: &\n left_sizes(imeta, left_src_vrow, left_src_vcol))\n !\n left_send_p = left_pgrid(left_send_prow, left_send_pcol)\n left_recv_p = left_pgrid(left_recv_prow, left_recv_pcol)\n ! These are column-communicator relative\n IF (dbcsr_mp_has_subgroups(left_mp_obj)) THEN\n left_send_p = left_send_pcol\n left_recv_p = left_recv_pcol\n grp = dbcsr_mp_my_row_group(left_mp_obj)\n ELSE\n grp = dbcsr_mp_group(left_mp_obj)\n END IF\n !\n CALL timeset(routineN//\"_metrocomm4\", handle2)\n IF (.not. use_acc()) THEN\n CALL dbcsr_irecv_any(left_data_rp, left_recv_p, &\n grp, left_data_rr(v_ki + 1), tag=left_src_vcol)\n ELSE\n msglen = left_sizes(idata, left_src_vrow, left_src_vcol)\n#if defined (__DBCSR_ACC)\n CALL C_F_POINTER(acc_devmem_cptr(left_buffer_comm%mats( &\n 1, v_ki + 1)%data_area%d%acc_devmem), &\n left_data_rp%d%r_dp, (/msglen/))\n#endif\n CALL mp_irecv(left_data_rp%d%r_dp, &\n left_recv_p, grp, &\n left_data_rr(v_ki + 1), tag=left_src_vcol)\n END IF\n CALL mp_irecv(left_index_rp, left_recv_p, &\n grp, left_index_rr(v_ki + 1), tag=left_src_vcol)\n IF (.not. use_acc()) THEN\n CALL dbcsr_isend_any(left_data_sp, left_send_p, &\n grp, left_data_sr(v_ki + 1), tag=left_dst_vcol)\n ELSE\n msglen = left_sizes(idata, left_dst_vrow, left_dst_vcol)\n#if defined (__DBCSR_ACC)\n CALL C_F_POINTER(acc_devmem_cptr(left_buffer_calc%mats( &\n 1, v_ki + 1)%data_area%d%acc_devmem), &\n left_data_sp%d%r_dp, (/msglen/))\n#endif\n CALL mp_isend(left_data_sp%d%r_dp, &\n left_send_p, grp, &\n left_data_sr(v_ki + 1), tag=left_dst_vcol)\n END IF\n CALL mp_isend(left_index_sp, left_send_p, &\n grp, left_index_sr(v_ki + 1), tag=left_dst_vcol)\n dbcsr_mpi_statistics%nexchanged = dbcsr_mpi_statistics%nexchanged + 1\n CALL count_mpi_statistics(dbcsr_mpi_statistics%data_size(2, :), &\n dbcsr_data_get_size(left_data_rp), &\n data_type_byte, &\n dbcsr_mpi_statistics%data_size_breakdown(:, :, 2))\n CALL timestop(handle2)\n END DO\n END IF xfer_left\n\n ! Do multiplication\n\n ! If no GPU backend, calculate norms on the CPU\n IF (otf_filtering .and. .not. use_acc()) THEN\n left_norms(:) = huge_norm\n right_norms(:) = huge_norm\n CALL calculate_norms(right_buffer_calc%mats(v_ki_right, 1), &\n right_norms, k_sizes, n_sizes)\n CALL calculate_norms(left_buffer_calc%mats(1, v_ki_left), &\n left_norms, m_sizes, k_sizes)\n END IF\n !\n flop_single = 0\n threads_finished = 0\n\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP SHARED (left_buffer_calc, right_buffer_calc, &\n!$OMP v_ki_left, v_ki_right, handle2, handle3, &\n!$OMP product_matrix, multrec,&\n!$OMP filter_eps, right_norms, left_norms, row_max_epss, &\n!$OMP keep_sparsity,threads_finished, &\n!$OMP right_data_sr, right_data_rr, right_index_sr, right_index_rr, &\n!$OMP left_data_sr, left_data_rr, left_index_sr, left_index_rr, &\n!$OMP dbcsr_cfg, k_sizes, nvirt_k, metronome) &\n!$OMP PRIVATE (ithread,nthreads,threads_finished_read) &\n!$OMP REDUCTION (+: flop_single)\n ithread = 0; nthreads = 1\n!$ ithread = omp_get_thread_num(); nthreads = omp_get_num_threads()\n\n CALL timeset(routineN//\"_multrec\", handle2)\n\n CALL dbcsr_mm_multrec_multiply(multrec(ithread)%p, &\n left=left_buffer_calc%mats(1, v_ki_left), &\n right=right_buffer_calc%mats(v_ki_right, 1), &\n flop=flop_single, &\n a_norms=left_norms, b_norms=right_norms, &\n k_sizes=k_sizes)\n\n IF (metronome == nvirt_k - 1) THEN\n CALL timeset(routineN//\"_multrec_finalize\", handle3)\n CALL dbcsr_mm_multrec_finalize(multrec(ithread)%p)\n DEALLOCATE (multrec(ithread)%p)\n CALL timestop(handle3)\n END IF\n\n!$OMP ATOMIC\n threads_finished = threads_finished + 1\n IF (dbcsr_cfg%use_comm_thread%val .AND. (ithread .EQ. 0)) THEN\n DO\n! requires OMP 3.1 (e.g. gcc >=4.7), for correctness, otherwise we keep fingers crossed\n#if defined _OPENMP && _OPENMP >= 200711\n!$OMP ATOMIC READ\n#endif\n threads_finished_read = threads_finished\n IF (threads_finished_read .EQ. nthreads) EXIT\n ! Using MPI_Testany to trigger forward progress in MPI\n CALL mp_testany(right_data_sr)\n CALL mp_testany(right_data_rr)\n CALL mp_testany(left_data_sr)\n CALL mp_testany(left_data_rr)\n CALL mp_testany(right_index_sr)\n CALL mp_testany(right_index_rr)\n CALL mp_testany(left_index_sr)\n CALL mp_testany(left_index_rr)\n END DO\n END IF\n!$OMP BARRIER\n CALL timestop(handle2)\n\n!$OMP END PARALLEL\n flop_total = flop_total + flop_single\n !\n ! Move to the next images\n IF (v_ki_left .EQ. left_col_nimages) THEN\n CALL dbcsr_switch(left_buffer_calc, left_buffer_comm)\n END IF\n IF (v_ki_right .EQ. right_row_nimages) THEN\n CALL dbcsr_switch(right_buffer_calc, right_buffer_comm)\n CALL dbcsr_switch(trs_stackbuf_calc, trs_stackbuf_comm)\n END IF\n\n END DO grouped_k_index\n CALL timestop(handle1)\n CALL m_memory(mem)\n max_memory = MAX(max_memory, REAL(mem))\n\n IF (use_acc()) THEN\n CALL dbcsr_data_release(trs_stackbuf_1)\n CALL dbcsr_data_release(trs_stackbuf_2)\n DEALLOCATE (row_blk_sizes2enum, enum2row_blk_sizes)\n DEALLOCATE (col_blk_sizes2enum, enum2col_blk_sizes)\n IF (otf_filtering) THEN\n CALL dbcsr_data_release(normsbuf)\n CALL dbcsr_data_release(offsetsbuf)\n CALL dbcsr_data_release(nelemsbuf)\n END IF\n END IF\n\n IF (ALLOCATED(right_norms)) THEN\n DEALLOCATE (right_norms)\n END IF\n IF (ALLOCATED(left_norms)) THEN\n DEALLOCATE (left_norms)\n END IF\n IF (ALLOCATED(row_max_epss)) THEN\n DEALLOCATE (row_max_epss)\n END IF\n !\n CALL dbcsr_destroy_array(right_buffer_2)\n CALL dbcsr_destroy_array(left_buffer_2)\n DEALLOCATE (my_sizes)\n !\n CALL dbcsr_data_clear_pointer(left_data_sp)\n CALL dbcsr_data_clear_pointer(left_data_rp)\n CALL dbcsr_data_clear_pointer(right_data_sp)\n CALL dbcsr_data_clear_pointer(right_data_rp)\n CALL dbcsr_data_release(left_data_sp)\n CALL dbcsr_data_release(left_data_rp)\n CALL dbcsr_data_release(right_data_sp)\n CALL dbcsr_data_release(right_data_rp)\n !\n DEALLOCATE (left_data_rr, left_data_sr, left_index_rr, left_index_sr, &\n right_data_rr, right_data_sr, right_index_rr, right_index_sr)\n !\n !\n IF (debug_mod) THEN\n v_ki = 0\n DO i = 1, SIZE(product_matrix%blk_p)\n v_ki = MAX(v_ki, ABS(product_matrix%blk_p(i)))\n END DO\n WRITE (*, *) routineN//\" Actual final size\", &\n LOG(REAL(dbcsr_data_get_size(product_matrix%data_area)))/LOG(10.0), &\n LOG(REAL(v_ki))/LOG(10.0)\n END IF\n !\n flop = flop_total\n DEALLOCATE (left_buffer_2, right_buffer_2)\n DEALLOCATE (m_sizes, n_sizes)\n IF (ASSOCIATED(k_sizes)) DEALLOCATE (k_sizes)\n !\n CALL timestop(handle)\n END SUBROUTINE multiply_cannon_g2g\n\n SUBROUTINE setup_buffer_matrices(buffer_set, buff_nrows, buff_ncols, &\n source_matrix, index_size, data_size)\n TYPE(dbcsr_2d_array_type), INTENT(OUT) :: buffer_set\n INTEGER, INTENT(IN) :: buff_nrows, buff_ncols\n TYPE(dbcsr_type), INTENT(IN) :: source_matrix\n INTEGER, INTENT(IN) :: index_size\n INTEGER, INTENT(IN), OPTIONAL :: data_size\n\n CHARACTER(len=*), PARAMETER :: routineN = 'setup_buffer_matrices'\n\n INTEGER :: col_image, handle, row_image\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n CALL dbcsr_image_dist_init(buffer_set%image_dist)\n ALLOCATE (buffer_set%mats(buff_nrows, buff_ncols))\n DO row_image = 1, buff_nrows\n DO col_image = 1, buff_ncols\n CALL setup_buffer_matrix(buffer_set%mats(row_image, col_image), &\n source_matrix, index_size, data_size=data_size, &\n data_memory_type=memtype_abpanel_2)\n END DO\n END DO\n IF (source_matrix%local_indexing .AND. careful_mod) THEN\n IF (.NOT. array_exists(source_matrix%local_rows)) &\n DBCSR_ABORT(\"Local rows should exist.\")\n IF (.NOT. array_exists(source_matrix%global_rows)) &\n DBCSR_ABORT(\"Global rows should exist.\")\n !\n IF (.NOT. array_exists(source_matrix%local_cols)) &\n DBCSR_ABORT(\"Local cols should exist.\")\n IF (.NOT. array_exists(source_matrix%global_cols)) &\n DBCSR_ABORT(\"Global cols should exist.\")\n END IF\n CALL timestop(handle)\n END SUBROUTINE setup_buffer_matrices\n\n SUBROUTINE buffer_matrices_ensure_size(buffer_set, index_size, data_size)\n !! Enlarge left_set and right_set to hold any a/b-panel.\n !! left_set and right_set are created by make_images to hold the a/b-panels\n !! used for the initial cannon-tick. This routine ensures that these buffers\n !! can hold any a/b-panel occurring during a matrix multiply and makes them\n !! therefore suitable as buffers for the entire cannon algorithm.\n !! This saves memory since no separate buffers for the first cannon-tick\n !! have to be allocated.\n\n TYPE(dbcsr_2d_array_type), INTENT(INOUT) :: buffer_set\n INTEGER, INTENT(IN) :: index_size, data_size\n\n CHARACTER(len=*), PARAMETER :: routineN = 'buffer_matrices_ensure_size'\n\n INTEGER :: col_image, handle, row_image\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n DO row_image = 1, SIZE(buffer_set%mats, 1)\n DO col_image = 1, SIZE(buffer_set%mats, 2)\n CALL dbcsr_data_ensure_size(buffer_set%mats(row_image, col_image)%data_area, &\n data_size)\n CALL ensure_array_size(buffer_set%mats(row_image, col_image)%index, &\n ub=index_size, &\n memory_type=dbcsr_get_index_memory_type(buffer_set%mats(row_image, col_image)))\n CALL dbcsr_repoint_index(buffer_set%mats(row_image, col_image))\n END DO\n END DO\n CALL timestop(handle)\n END SUBROUTINE buffer_matrices_ensure_size\n\n SUBROUTINE setup_rec_index_2d(matrix_set, n_rows, n_cols)\n TYPE(dbcsr_2d_array_type), INTENT(INOUT) :: matrix_set\n INTEGER, INTENT(IN) :: n_rows, n_cols\n\n CHARACTER(len=*), PARAMETER :: routineN = 'setup_rec_index_2d'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle, i_col, i_row, t_f, t_l, t_size\n\n!$ INTEGER :: ithread\n LOGICAL :: thread_redist\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n DO i_row = 1, n_rows\n DO i_col = 1, n_cols\n IF (.FALSE.) &\n CALL dbcsr_reset_vlocals(matrix_set%mats(i_row, i_col), &\n matrix_set%image_dist)\n IF (dbg) THEN\n WRITE (*, *) routineN//\" m, n, size\", &\n SIZE(matrix_set%mats(i_row, i_col)%coo_l), &\n dbcsr_nblkrows_local(matrix_set%mats(i_row, i_col)), &\n dbcsr_nblkcols_local(matrix_set%mats(i_row, i_col))\n WRITE (*, '(3(1X,I7))') matrix_set%mats(i_row, i_col)%coo_l\n END IF\n IF (careful_mod) THEN\n IF (SIZE(matrix_set%mats(i_row, i_col)%coo_l) .NE. matrix_set%mats(i_row, i_col)%nblks*3) &\n DBCSR_ABORT(\"Block count mismatch.\")\n END IF\n thread_redist = ASSOCIATED(matrix_set%mats(i_row, i_col)%thr_c)\n t_size = SIZE(matrix_set%mats(i_row, i_col)%coo_l)/3\n t_f = 1\n t_l = t_size\n!$OMP PARALLEL IF (thread_redist) DEFAULT (NONE) &\n!$OMP PRIVATE (ithread) &\n!$OMP FIRSTPRIVATE (t_f, t_l, t_size) &\n!$OMP SHARED (matrix_set, i_row, i_col, thread_redist)\n!$ ithread = OMP_GET_THREAD_NUM()\n!$ IF (thread_redist) THEN\n!$ t_f = matrix_set%mats(i_row, i_col)%thr_c(ithread + 1) + 1\n!$ t_l = matrix_set%mats(i_row, i_col)%thr_c(ithread + 2)\n!$ END IF\n t_size = t_l - t_f + 1\n!$OMP BARRIER\n IF (t_size .GT. 0) THEN\n CALL call_rec_sort_index( &\n dbcsr_nblkrows_local(matrix_set%mats(i_row, i_col)), &\n dbcsr_nblkcols_local(matrix_set%mats(i_row, i_col)), &\n t_size, &\n matrix_set%mats(i_row, i_col)%coo_l((t_f*3 - 2):(t_l*3)))\n END IF\n!$OMP END PARALLEL\n END DO\n END DO\n CALL timestop(handle)\n END SUBROUTINE setup_rec_index_2d\n\n SUBROUTINE call_rec_sort_index(m, n, nblks, idx)\n !! Used to thunk a call to rec_sort_index\n INTEGER, INTENT(IN) :: m, n, nblks\n INTEGER, DIMENSION(3, 1:nblks), INTENT(INOUT) :: idx\n\n! ---------------------------------------------------------------------------\n\n CALL rec_sort_index(1, m, 1, n, nblks, idx, 0)\n END SUBROUTINE call_rec_sort_index\n\n SUBROUTINE dbcsr_switch_sets(set1p, set2p)\n !! Switches pointers between two matrix sets\n TYPE(dbcsr_2d_array_type), POINTER :: set1p, set2p\n\n TYPE(dbcsr_2d_array_type), POINTER :: tmp_set\n\n! ---------------------------------------------------------------------------\n\n tmp_set => set1p\n set1p => set2p\n set2p => tmp_set\n END SUBROUTINE dbcsr_switch_sets\n\n SUBROUTINE dbcsr_switch_d_ptrs(area1p, area2p)\n !! Switches pointers between two data areas\n TYPE(dbcsr_data_obj), POINTER :: area1p, area2p\n\n TYPE(dbcsr_data_obj), POINTER :: tmp_p\n\n tmp_p => area1p\n area1p => area2p\n area2p => tmp_p\n END SUBROUTINE dbcsr_switch_d_ptrs\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1, normname1 in inst_params_float\n\n! **************************************************************************************************\n SUBROUTINE prepare_buffers_${nametype1}$ (negate_real, negate_imaginary, &\n iter, row, col, blk, blk_p, bp, &\n row_size, col_size, nze, nsymmetries, symmetry_i, &\n stored_row, stored_col, tr_row_size, tr_col_size, tr, &\n row_img, col_img, nrow_images, ncol_images, &\n row_img_dist, col_img_dist, predist_type_fwd, blacs2mpi, &\n target_imgdist, prow, pcol, rowi, coli, &\n row_dist, col_dist, dst_p, sm_pos, myt_smp, metalen, &\n sd_pos, myt_sdp, send_meta, sd_disp, &\n data_area, send_data_area, scale_neg_one, scale_value)\n !! Prepare buffers for multiplications\n LOGICAL, INTENT(IN) :: negate_real, negate_imaginary\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iter\n INTEGER, INTENT(INOUT) :: row, col, blk, blk_p, row_size, col_size, &\n nze, bp, symmetry_i, &\n stored_row, stored_col, tr_row_size, tr_col_size, &\n row_img, col_img, prow, pcol, rowi, coli, &\n dst_p, sm_pos, sd_pos\n INTEGER, INTENT(IN) :: nsymmetries, nrow_images, ncol_images, metalen\n LOGICAL, INTENT(INOUT) :: tr\n INTEGER, DIMENSION(:), INTENT(IN), CONTIGUOUS, POINTER :: row_img_dist, col_img_dist, row_dist, col_dist\n INTEGER, DIMENSION(:), ALLOCATABLE, INTENT(IN) :: sd_disp\n INTEGER, DIMENSION(:), ALLOCATABLE, INTENT(INOUT) :: myt_smp, myt_sdp, send_meta\n TYPE(dbcsr_imagedistribution_obj), INTENT(IN) :: target_imgdist\n INTEGER, DIMENSION(:, :), INTENT(IN), CONTIGUOUS, POINTER :: blacs2mpi\n CHARACTER, INTENT(IN) :: predist_type_fwd\n ${type1}$, DIMENSION(:), INTENT(IN), CONTIGUOUS :: data_area\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: send_data_area\n TYPE(dbcsr_scalar_type), INTENT(IN) :: scale_neg_one\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale_value\n\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, blk_p=blk_p, &\n row_size=row_size, col_size=col_size)\n nze = row_size*col_size\n IF (nze .EQ. 0) CYCLE\n bp = ABS(blk_p)\n DO symmetry_i = 1, nsymmetries\n IF (symmetry_i .EQ. 1) THEN\n stored_row = row; stored_col = col; tr = blk_p .LT. 0\n tr_row_size = col_size; tr_col_size = row_size\n ELSE\n IF (row .EQ. col) CYCLE\n stored_row = col; stored_col = row; tr = blk_p .GT. 0\n tr_row_size = row_size; tr_col_size = col_size\n END IF\n ! Where do we send this block?\n row_img = 1\n IF (nrow_images .GT. 1) row_img = row_img_dist(stored_row)\n col_img = 1\n IF (ncol_images .GT. 1) col_img = col_img_dist(stored_col)\n CALL image_calculator(target_imgdist, &\n prow=prow, rowi=rowi, &\n pcol=pcol, coli=coli, &\n myprow=row_dist(stored_row), myrowi=row_img, &\n mypcol=col_dist(stored_col), mycoli=col_img, &\n shifting=predist_type_fwd)\n dst_p = blacs2mpi(prow, pcol)\n sm_pos = myt_smp(dst_p)\n myt_smp(dst_p) = myt_smp(dst_p) + metalen\n sd_pos = myt_sdp(dst_p)\n myt_sdp(dst_p) = myt_sdp(dst_p) + nze\n IF (tr) THEN\n IF (PRESENT(scale_value)) THEN\n CALL dbcsr_block_transpose(send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1), &\n data_area(bp:bp + nze - 1)*scale_value%${base1}$_${prec1}$, &\n tr_row_size, tr_col_size)\n ELSE\n CALL dbcsr_block_transpose(send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1), &\n data_area(bp:bp + nze - 1), &\n tr_row_size, tr_col_size)\n END IF\n IF (negate_real .AND. negate_imaginary) THEN\n send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1) = &\n send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1)*scale_neg_one%${base1}$_${prec1}$\n ELSEIF (negate_real) THEN\n #:if nametype1==\"s\" or nametype1==\"d\"\n send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1) = &\n -send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1)\n #:else\n send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1) = &\n CMPLX( &\n -REAL(send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1), KIND=${kind1}$), &\n AIMAG(send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1)), &\n KIND=${kind1}$)\n #:endif\n ELSEIF (negate_imaginary) THEN\n #:if nametype1==\"c\" or nametype1==\"z\"\n send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1) = &\n CONJG(send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1))\n #:endif\n END IF\n ELSE\n ! Copy the block\n IF (PRESENT(scale_value)) THEN\n send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1) = &\n data_area(bp:bp + nze - 1)*scale_value%${base1}$_${prec1}$\n ELSE\n send_data_area%d%${base1}$_${prec1}$ (sd_pos:myt_sdp(dst_p) - 1) = data_area(bp:bp + nze - 1)\n END IF\n END IF\n\n send_meta(sm_pos) = stored_row\n send_meta(sm_pos + 1) = stored_col\n send_meta(sm_pos + 2) = sd_pos - sd_disp(dst_p) + 1\n send_meta(sm_pos + 3) = rowi\n send_meta(sm_pos + 4) = coli\n END DO\n END DO\n END SUBROUTINE prepare_buffers_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_mm_cannon\n" }, { "path": "src/mm/dbcsr_mm_common.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! Copyright (C) 2022 Advanced Micro Devices, Inc. - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_common\n !! Common variables and routines for the dbcsr matrix-matrix multiplication algorithms.\n !! Modification history:\n !! - 2016-08 Code organization (Alfio Lazzaro).\n\n USE ISO_C_BINDING, ONLY: C_PTR, C_INT\n\n USE dbcsr_acc_event, ONLY: acc_event_record, &\n acc_event_synchronize, &\n acc_stream_wait_event\n USE dbcsr_acc_stream, ONLY: acc_stream_type, &\n acc_stream_synchronize, &\n acc_stream_cptr\n USE dbcsr_acc_devmem, ONLY: acc_devmem_cptr\n USE dbcsr_array_types, ONLY: array_data, &\n array_hold\n USE dbcsr_acc_operations, ONLY: dbcsr_acc_transpose\n USE dbcsr_data_methods, ONLY: dbcsr_data_ensure_size, &\n dbcsr_data_get_size, &\n dbcsr_data_host2dev, &\n dbcsr_data_dev2host, &\n dbcsr_data_set_size_referenced, &\n dbcsr_get_data_p_c, &\n dbcsr_get_data_p_d, &\n dbcsr_get_data_p_s, &\n dbcsr_get_data_p_z\n USE dbcsr_methods, ONLY: dbcsr_get_data_type, &\n dbcsr_get_index_memory_type, &\n dbcsr_nfullcols_local, &\n dbcsr_nfullrows_local, &\n dbcsr_valid_index\n USE dbcsr_mm_multrec, ONLY: dbcsr_mm_multrec_type\n USE dbcsr_ptr_util, ONLY: ensure_array_size\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_memtype_type, dbcsr_mpi_size_limits, dbcsr_mpi_statistics_type, &\n dbcsr_type, dbcsr_type_complex_4, dbcsr_type_complex_8, dbcsr_type_int_4, &\n dbcsr_type_real_4, dbcsr_type_real_8\n USE dbcsr_work_operations, ONLY: dbcsr_create\n USE dbcsr_kinds, ONLY: int_4, &\n int_8, &\n real_4, &\n real_8, &\n sp\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_common'\n\n TYPE dbcsr_memtype_type_p\n TYPE(dbcsr_memtype_type), POINTER :: p => Null()\n ! ensure that array-elements are on different cache lines\n INTEGER(kind=int_4), DIMENSION(64) :: padding = -1_int_4\n END TYPE dbcsr_memtype_type_p\n\n TYPE(dbcsr_memtype_type_p), DIMENSION(:), POINTER, SAVE :: memtype_product_wm => Null()\n\n TYPE(dbcsr_mpi_statistics_type), SAVE :: dbcsr_mpi_statistics\n INTEGER, SAVE :: num_multiplications = 0\n REAL, SAVE :: max_memory = 0\n REAL, PARAMETER :: huge_norm = HUGE(1.0)**(1.0/3.0)\n\n TYPE(dbcsr_memtype_type), SAVE :: memtype_abpanel_1, memtype_abpanel_2, &\n memtype_trsbuffer_1, memtype_trsbuffer_2, &\n memtype_normsbuf, memtype_offsetsbuf, &\n memtype_nelemsbuf, &\n memtype_mpi_buffer, memtype_mpi_product\n TYPE(acc_stream_type), SAVE :: stream_1, stream_2\n ! ab-panels and streams are shared between all threads\n\n TYPE dbcsr_mm_multrec_type_p\n TYPE(dbcsr_mm_multrec_type), POINTER :: p => Null()\n ! ensure that array-elements are on different cache lines\n INTEGER(kind=int_4), DIMENSION(64) :: padding\n END TYPE dbcsr_mm_multrec_type_p\n\n PUBLIC :: memtype_product_wm\n PUBLIC :: dbcsr_mpi_statistics, num_multiplications\n PUBLIC :: max_memory\n\n PUBLIC :: memtype_abpanel_1, memtype_abpanel_2, &\n memtype_trsbuffer_1, memtype_trsbuffer_2, &\n memtype_normsbuf, memtype_offsetsbuf, &\n memtype_nelemsbuf, &\n memtype_mpi_buffer, memtype_mpi_product\n PUBLIC :: stream_1, stream_2\n\n PUBLIC :: dbcsr_mm_multrec_type_p\n PUBLIC :: count_mpi_statistics\n PUBLIC :: setup_buffer_matrix\n PUBLIC :: rec_sort_index\n PUBLIC :: enumerate_blk_sizes\n\n PUBLIC :: acc_transpose_blocks\n PUBLIC :: acc_calculate_norms\n\n PUBLIC :: product_matrix_size_guess\n\n PUBLIC :: calculate_norms\n PUBLIC :: huge_norm\n PUBLIC :: local_filter\n\n#if defined (__DBCSR_ACC)\n INTERFACE\n FUNCTION acc_interface_calculate_norms(mat, nblks, offsets, nelems, norms, stream_ptr) RESULT(istat) &\n BIND(C, name=\"c_calculate_norms\")\n IMPORT\n TYPE(C_PTR), INTENT(IN), VALUE :: mat\n TYPE(C_PTR), INTENT(IN), VALUE :: offsets\n TYPE(C_PTR), INTENT(IN), VALUE :: nelems\n TYPE(C_PTR), VALUE :: norms\n INTEGER(KIND=C_INT), INTENT(IN), &\n VALUE :: nblks\n TYPE(C_PTR), VALUE :: stream_ptr\n INTEGER(KIND=C_INT) :: istat\n\n END FUNCTION acc_interface_calculate_norms\n END INTERFACE\n#endif\n\nCONTAINS\n\n SUBROUTINE count_mpi_statistics(mpi_statistics, data_size, &\n element_size_bytes, size_breakdown)\n REAL, DIMENSION(:), INTENT(INOUT) :: mpi_statistics\n INTEGER, INTENT(IN) :: data_size\n INTEGER, INTENT(IN) :: element_size_bytes\n INTEGER(KIND=int_8), DIMENSION(:, :), &\n INTENT(INOUT), OPTIONAL :: size_breakdown\n\n INTEGER :: ilimit, nlimits\n INTEGER(KIND=int_8) :: data_size_bytes, llimit\n\n ! change in bytes\n data_size_bytes = INT(data_size, KIND=int_8)*INT(element_size_bytes, KIND=int_8)\n !\n mpi_statistics(1) = mpi_statistics(1) + REAL(data_size_bytes)\n mpi_statistics(2) = MIN(mpi_statistics(2), REAL(data_size_bytes))\n mpi_statistics(3) = MAX(mpi_statistics(3), REAL(data_size_bytes))\n IF (PRESENT(size_breakdown)) THEN\n nlimits = SIZE(dbcsr_mpi_size_limits)\n ! check for oversize messages\n IF (data_size_bytes .GT. dbcsr_mpi_size_limits(nlimits)) THEN\n size_breakdown(nlimits + 1, 1) = size_breakdown(nlimits + 1, 1) + 1\n size_breakdown(nlimits + 1, 2) = size_breakdown(nlimits + 1, 2) + data_size_bytes\n RETURN\n END IF\n llimit = 0\n DO ilimit = 1, nlimits\n IF (data_size_bytes .GE. llimit .AND. data_size_bytes .LE. dbcsr_mpi_size_limits(ilimit)) THEN\n size_breakdown(ilimit, 1) = size_breakdown(ilimit, 1) + 1\n size_breakdown(ilimit, 2) = size_breakdown(ilimit, 2) + data_size_bytes\n RETURN\n END IF\n llimit = dbcsr_mpi_size_limits(ilimit)\n END DO\n END IF\n END SUBROUTINE count_mpi_statistics\n\n SUBROUTINE setup_buffer_matrix(matrix, source_matrix, &\n index_size, data_size, data_buffer, data_memory_type)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n TYPE(dbcsr_type), INTENT(IN) :: source_matrix\n INTEGER, INTENT(IN), OPTIONAL :: index_size, data_size\n TYPE(dbcsr_data_obj), INTENT(IN), OPTIONAL :: data_buffer\n TYPE(dbcsr_memtype_type), INTENT(IN), OPTIONAL :: data_memory_type\n\n matrix = dbcsr_type()\n CALL dbcsr_create(matrix, &\n template=source_matrix, &\n name=TRIM(\"Buffer of \"//TRIM(source_matrix%name)), &\n nze=data_size, &\n data_buffer=data_buffer, &\n data_memory_type=data_memory_type, &\n index_memory_type=memtype_mpi_buffer)\n IF (PRESENT(data_size)) THEN\n CALL dbcsr_data_ensure_size( &\n matrix%data_area, &\n data_size, nocopy=.TRUE.)\n END IF\n IF (PRESENT(index_size)) THEN\n CALL ensure_array_size( &\n matrix%index, &\n ub=index_size, nocopy=.TRUE., &\n memory_type=dbcsr_get_index_memory_type(matrix))\n END IF\n matrix%negate_real = source_matrix%negate_real\n matrix%negate_imaginary = source_matrix%negate_imaginary\n matrix%local_indexing = source_matrix%local_indexing\n matrix%list_indexing = source_matrix%list_indexing\n !\n IF (source_matrix%has_local_rows) THEN\n matrix%local_rows = source_matrix%local_rows\n CALL array_hold(matrix%local_rows)\n matrix%has_local_rows = .TRUE.\n END IF\n IF (source_matrix%has_global_rows) THEN\n matrix%global_rows = source_matrix%global_rows\n CALL array_hold(matrix%global_rows)\n matrix%has_global_rows = .TRUE.\n END IF\n IF (source_matrix%has_local_cols) THEN\n matrix%local_cols = source_matrix%local_cols\n CALL array_hold(matrix%local_cols)\n matrix%has_local_cols = .TRUE.\n END IF\n IF (source_matrix%has_global_cols) THEN\n matrix%global_cols = source_matrix%global_cols\n CALL array_hold(matrix%global_cols)\n matrix%has_global_cols = .TRUE.\n END IF\n\n END SUBROUTINE setup_buffer_matrix\n\n RECURSIVE SUBROUTINE rec_sort_index(mi, mf, ni, nf, nele, a, d)\n !! Sorts index for recursing.\n !!\n !! History\n !! - 2011-02-17 [UB] modified for use in DBCSR; reduced memory usage.\n !! @note\n !! Always cut longest first. On a tie cut N\n !! @endnote\n\n INTEGER, INTENT(IN) :: mi, mf, ni, nf, nele\n INTEGER, DIMENSION(3, 1:nele), INTENT(inout) :: a\n INTEGER, INTENT(IN) :: d\n\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: half, M, N, nlow\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: tmp\n\n! ---------------------------------------------------------------------------\n\n IF (dbg) THEN\n WRITE (*, *) \" rs\", mi, mf, \"/\", ni, nf, \"=>\", nele, d\n WRITE (*, '(3(1X,I7))') a(:, 1:nele)\n END IF\n IF (dbg) THEN\n IF (d .GT. 20) THEN\n WRITE (*, *) a(1, -d*1000)\n END IF\n END IF\n ALLOCATE (tmp(3, nele))\n M = mf - mi + 1\n N = nf - ni + 1\n IF (M > N) THEN\n half = M/2\n CALL rec_split(nele, a, tmp, 1, nlow, mi, half)\n a = tmp\n DEALLOCATE (tmp)\n IF (nlow .GT. 1) THEN\n CALL rec_sort_index(mi, mi + half - 1, ni, nf, nlow, a(:, 1:nlow), d + 1)\n END IF\n IF (nele - nlow .GT. 1) THEN\n CALL rec_sort_index(mi + half, mf, ni, nf, nele - nlow, a(:, nlow + 1:nele), d + 1)\n END IF\n ELSE\n half = N/2\n CALL rec_split(nele, a, tmp, 2, nlow, ni, half)\n a = tmp\n DEALLOCATE (tmp)\n IF (nlow .GT. 1) THEN\n CALL rec_sort_index(mi, mf, ni, ni + half - 1, nlow, a(:, 1:nlow), d + 1)\n END IF\n IF (nele - nlow .GT. 1) THEN\n CALL rec_sort_index(mi, mf, ni + half, nf, nele - nlow, a(:, nlow + 1:nele), d + 1)\n END IF\n END IF\n END SUBROUTINE rec_sort_index\n\n SUBROUTINE rec_split(nele, a, split, row_or_col, nlow, mi, half)\n INTEGER, INTENT(IN) :: nele\n INTEGER, DIMENSION(3, nele), INTENT(IN) :: a\n INTEGER, DIMENSION(3, nele), INTENT(OUT) :: split\n INTEGER, INTENT(IN) :: row_or_col\n INTEGER, INTENT(OUT) :: nlow\n INTEGER, INTENT(IN) :: mi, half\n\n INTEGER :: el, half_m, p_high, p_low\n\n half_m = mi + half - 1\n p_low = 1\n p_high = nele\n DO el = 1, nele\n IF (a(row_or_col, el) <= half_m) THEN\n split(1:3, p_low) = a(1:3, el)\n p_low = p_low + 1\n ELSE\n split(1:3, p_high) = a(1:3, el)\n p_high = p_high - 1\n END IF\n END DO\n nlow = p_low - 1\n DBCSR_ASSERT(p_high .EQ. nlow)\n\n END SUBROUTINE rec_split\n\n SUBROUTINE enumerate_blk_sizes(blk_sizes, max_size, enum, rev_enum)\n !! Enumerate all occurring blocksizes\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: blk_sizes\n INTEGER, INTENT(IN) :: max_size\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: enum, rev_enum\n\n CHARACTER(len=*), PARAMETER :: routineN = 'enumerate_blk_sizes'\n\n INTEGER :: handle, i, n\n\n CALL timeset(routineN, handle)\n\n ALLOCATE (enum(0:max_size))\n enum(:) = 0\n\n DO i = 1, SIZE(blk_sizes)\n enum(blk_sizes(i)) = 1\n END DO\n\n n = SUM(enum)\n ALLOCATE (rev_enum(n))\n\n n = 0\n DO i = 0, SIZE(enum) - 1\n IF (enum(i) > 0) THEN\n n = n + 1\n enum(i) = n\n rev_enum(n) = i\n END IF\n END DO\n\n CALL timestop(handle)\n\n END SUBROUTINE enumerate_blk_sizes\n\n SUBROUTINE acc_transpose_blocks(matrix, trs_stackbuf, &\n !! write out a stack for transposing the blocks\n row_blk_sizes, col_blk_sizes, &\n row_blk_sizes2enum, enum2row_blk_sizes, &\n col_blk_sizes2enum, enum2col_blk_sizes, &\n noresize)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: trs_stackbuf\n INTEGER, DIMENSION(:), INTENT(IN), POINTER, CONTIGUOUS :: row_blk_sizes, col_blk_sizes, &\n row_blk_sizes2enum, enum2row_blk_sizes, &\n col_blk_sizes2enum, enum2col_blk_sizes\n LOGICAL, INTENT(IN), OPTIONAL :: noresize\n\n CHARACTER(len=*), PARAMETER :: routineN = 'acc_transpose_blocks'\n\n INTEGER :: blk_p, handle, handle1, i, m, mi, &\n mi_max, n, nblks, ni, ni_max, offset, x, &\n row, col\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: counters, filled, offsets, tmp_stack\n INTEGER, DIMENSION(:), POINTER :: blk_index\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: trs_stack\n LOGICAL :: my_noresize\n\n CALL timeset(routineN, handle)\n\n NULLIFY (trs_stack)\n\n IF (.NOT. matrix%list_indexing) &\n DBCSR_ABORT(\"build_trs_stack: only list_indexing supported.\")\n IF (.NOT. matrix%local_indexing) &\n DBCSR_ABORT(\"build_trs_stack: only local_indexing supported.\")\n IF (trs_stackbuf%d%data_type /= dbcsr_type_int_4) &\n DBCSR_ABORT(\"build_trs_stack: stac_buf has wrong datatype\")\n blk_index => matrix%coo_l\n nblks = matrix%nblks\n\n ! make sure buffer from previous cannon-tick was uploaded\n CALL timeset(routineN//\"_sync\", handle1)\n CALL acc_event_synchronize(trs_stackbuf%d%acc_ready)\n CALL timestop(handle1)\n\n CALL timeset(routineN//\"_ensure\", handle1)\n my_noresize = .FALSE.\n IF (PRESENT(noresize)) my_noresize = noresize\n IF (my_noresize) THEN\n IF (dbcsr_data_get_size(trs_stackbuf) .LT. nblks) &\n DBCSR_ABORT(\"build_trs_stack: trs_stackbuf undersized\")\n ELSE\n CALL dbcsr_data_ensure_size(trs_stackbuf, data_size=nblks, nocopy=.TRUE.)\n END IF\n CALL dbcsr_data_set_size_referenced(trs_stackbuf, nblks)\n trs_stack => trs_stackbuf%d%i4\n CALL timestop(handle1)\n\n mi_max = SIZE(enum2row_blk_sizes); ni_max = SIZE(enum2col_blk_sizes)\n ALLOCATE (counters(mi_max, ni_max), offsets(mi_max, ni_max))\n counters(:, :) = 0; offsets(:, :) = 0\n\n CALL timeset(routineN//\"_comp\", handle1)\n\n ! Simplified algorithm for single size blocks\n IF (mi_max .EQ. 1 .AND. ni_max .EQ. 1) THEN\n DO i = 1, nblks\n blk_p = blk_index(3*(i - 1) + 3)\n IF (blk_p == 0) CYCLE\n counters(1, 1) = counters(1, 1) + 1\n trs_stack(counters(1, 1)) = blk_p - 1\n END DO\n ELSE\n ALLOCATE (tmp_stack(3, nblks))\n ! collect block addresses and dimensions in a temporary stack\n ! while doing so, also count number of blocks per block-dimensions\n DO i = 1, nblks\n row = blk_index(3*(i - 1) + 1)\n col = blk_index(3*(i - 1) + 2)\n blk_p = blk_index(3*(i - 1) + 3)\n IF (blk_p == 0) CYCLE\n m = row_blk_sizes(row)\n n = col_blk_sizes(col)\n mi = row_blk_sizes2enum(m)\n ni = col_blk_sizes2enum(n)\n tmp_stack(1, i) = mi\n tmp_stack(2, i) = ni\n tmp_stack(3, i) = blk_p - 1\n counters(mi, ni) = counters(mi, ni) + 1\n END DO\n ! calculate offsets for first element of each sub-stack\n offset = 0\n DO mi = 1, mi_max\n DO ni = 1, ni_max\n offsets(mi, ni) = offset\n offset = offset + counters(mi, ni)\n END DO\n END DO\n ! write all sub-stacks into the host-pinned buffer\n ALLOCATE (filled(mi_max, ni_max))\n filled(:, :) = 0\n DO i = 1, nblks\n mi = tmp_stack(1, i)\n ni = tmp_stack(2, i)\n blk_p = tmp_stack(3, i)\n x = offsets(mi, ni) + filled(mi, ni) + 1\n trs_stack(x) = blk_p\n filled(mi, ni) = filled(mi, ni) + 1\n END DO\n !sanity check\n DO ni = 1, ni_max\n DO mi = 1, mi_max\n IF (filled(mi, ni) /= counters(mi, ni)) &\n DBCSR_ABORT(\"acc_transpose_blocks: bug\")\n END DO\n END DO\n END IF\n CALL timestop(handle1)\n\n CALL timeset(routineN//\"_sync\", handle1)\n !transfer all stacks\n CALL dbcsr_data_host2dev(trs_stackbuf)\n ! make sure block-buffer is uploaded before running the kernels\n CALL acc_stream_wait_event(trs_stackbuf%d%memory_type%acc_stream, matrix%data_area%d%acc_ready)\n CALL timestop(handle1)\n\n CALL timeset(routineN//\"_kernels\", handle1)\n ! launch kernels\n DO ni = 1, ni_max\n DO mi = 1, mi_max\n IF (counters(mi, ni) > 0) THEN\n m = enum2row_blk_sizes(mi)\n n = enum2col_blk_sizes(ni)\n CALL dbcsr_acc_transpose( &\n trs_stack=trs_stackbuf%d%acc_devmem, &\n offset=offsets(mi, ni), &\n nblks=counters(mi, ni), &\n data_type=matrix%data_type, &\n buffer=matrix%data_area%d%acc_devmem, &\n m=m, n=n, &\n stream=trs_stackbuf%d%memory_type%acc_stream)\n END IF\n END DO\n END DO\n CALL timestop(handle1)\n\n CALL timeset(routineN//\"_sync\", handle1)\n ! make sure block-buffer are not used until transpose kernels finished\n CALL acc_event_record(trs_stackbuf%d%acc_ready, trs_stackbuf%d%memory_type%acc_stream)\n CALL acc_stream_wait_event(matrix%data_area%d%memory_type%acc_stream, trs_stackbuf%d%acc_ready)\n CALL acc_event_record(matrix%data_area%d%acc_ready, matrix%data_area%d%memory_type%acc_stream)\n CALL timestop(handle1)\n\n CALL timestop(handle)\n END SUBROUTINE acc_transpose_blocks\n\n SUBROUTINE acc_calculate_norms(matrix, norms, normsbuf, offsetsbuf, nelemsbuf, row_blk_sizes, col_blk_sizes)\n !! calculate norms for a set of blocks in matrix whose row and col sizes are given\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n REAL(kind=sp), DIMENSION(:), INTENT(OUT) :: norms\n TYPE(dbcsr_data_obj), INTENT(INOUT), TARGET :: normsbuf\n TYPE(dbcsr_data_obj), INTENT(INOUT), TARGET :: offsetsbuf\n TYPE(dbcsr_data_obj), INTENT(INOUT), TARGET :: nelemsbuf\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS, INTENT(IN) :: row_blk_sizes, col_blk_sizes\n\n CHARACTER(len=*), PARAMETER :: routineN = 'acc_calculate_norms'\n\n INTEGER :: nblks, blk_p, handle, i\n INTEGER :: nblks_final, j\n INTEGER :: data_type\n INTEGER :: row, col\n INTEGER, DIMENSION(:), POINTER :: blk_index\n REAL, DIMENSION(:), POINTER, CONTIGUOUS :: normsbuf_ptr\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: offsetsbuf_ptr\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: nelemsbuf_ptr\n#if defined (__DBCSR_ACC)\n INTEGER :: istat\n#endif\n\n CALL timeset(routineN, handle)\n\n blk_index => matrix%coo_l\n nblks = matrix%nblks\n data_type = dbcsr_get_data_type(matrix)\n\n if (nblks > 0 .and. data_type .eq. dbcsr_type_real_8) then\n\n IF (normsbuf%d%data_type /= dbcsr_type_real_4) &\n DBCSR_ABORT(\"acc_calculate_norms: normsbuf has wrong datatype\")\n IF (offsetsbuf%d%data_type /= dbcsr_type_int_4) &\n DBCSR_ABORT(\"acc_calculate_norms: offsetsbuf has wrong datatype\")\n IF (nelemsbuf%d%data_type /= dbcsr_type_int_4) &\n DBCSR_ABORT(\"acc_calculate_norms: nelemsbuf has wrong datatype\")\n\n NULLIFY (normsbuf_ptr)\n NULLIFY (offsetsbuf_ptr)\n NULLIFY (nelemsbuf_ptr)\n CALL dbcsr_data_ensure_size(normsbuf, data_size=nblks, nocopy=.TRUE.)\n CALL dbcsr_data_set_size_referenced(normsbuf, nblks)\n normsbuf_ptr => normsbuf%d%r_sp\n CALL dbcsr_data_ensure_size(offsetsbuf, data_size=nblks, nocopy=.TRUE.)\n CALL dbcsr_data_set_size_referenced(offsetsbuf, nblks)\n offsetsbuf_ptr => offsetsbuf%d%i4\n CALL dbcsr_data_ensure_size(nelemsbuf, data_size=nblks, nocopy=.TRUE.)\n CALL dbcsr_data_set_size_referenced(nelemsbuf, nblks)\n nelemsbuf_ptr => nelemsbuf%d%i4\n\n j = 1\n DO i = 1, nblks\n blk_p = blk_index(3*i)\n IF (blk_p == 0) CYCLE\n offsetsbuf_ptr(j) = blk_p - 1\n row = blk_index(3*i - 2)\n col = blk_index(3*i - 1)\n nelemsbuf_ptr(j) = row_blk_sizes(row)*col_blk_sizes(col)\n j = j + 1\n END DO\n nblks_final = j - 1\n\n ! copy offsets to GPU buffer, launch kernel, copy norms back to host\n ! offsetsbuf, nelemsbuf and normsbuf share the same stream, so no need\n ! to synchronize stream until norms are copied back to host\n CALL dbcsr_data_host2dev(offsetsbuf)\n CALL dbcsr_data_host2dev(nelemsbuf)\n#if defined (__DBCSR_ACC)\n istat = acc_interface_calculate_norms(acc_devmem_cptr(matrix%data_area%d%acc_devmem), &\n INT(nblks_final, KIND=C_INT), &\n acc_devmem_cptr(offsetsbuf%d%acc_devmem), &\n acc_devmem_cptr(nelemsbuf%d%acc_devmem), &\n acc_devmem_cptr(normsbuf%d%acc_devmem), &\n acc_stream_cptr(normsbuf%d%memory_type%acc_stream))\n IF (istat == -1) &\n DBCSR_ABORT(\"acc_calculate_norms: warp size obtained is unexpected\")\n#endif\n CALL dbcsr_data_dev2host(normsbuf)\n CALL acc_stream_synchronize(normsbuf%d%memory_type%acc_stream)\n\n j = 1\n DO i = 1, nblks\n blk_p = blk_index(3*i)\n IF (blk_p == 0) CYCLE\n norms(i) = normsbuf_ptr(j)\n j = j + 1\n END DO\n else\n ! call CPU function to calculate norms\n CALL calculate_norms(matrix, norms, row_blk_sizes, col_blk_sizes)\n end if\n CALL timestop(handle)\n END SUBROUTINE acc_calculate_norms\n\n FUNCTION product_matrix_size_guess(matrix_left, matrix_right, product_matrix, &\n !! Guess the size of the product matrix from the A and B sparsities\n left_data_size, right_data_size, &\n left_col_nimages, right_row_nimages, &\n nthreads) RESULT(size_guess)\n TYPE(dbcsr_type), INTENT(IN) :: matrix_left, matrix_right, product_matrix\n INTEGER, INTENT(IN) :: left_data_size, right_data_size, &\n left_col_nimages, right_row_nimages, &\n nthreads\n INTEGER :: size_guess\n\n INTEGER(KIND=int_8) :: size8\n REAL(kind=real_8) :: factor, fill_guess, left_fill, right_fill\n\n ! First we calculate the sparsities\n size8 = INT(dbcsr_nfullrows_local(matrix_left), KIND=int_8)* &\n INT(dbcsr_nfullcols_local(matrix_left), KIND=int_8)\n size8 = MAX(1_int_8, size8)\n left_fill = (REAL(left_data_size, KIND=real_8)*REAL(left_col_nimages, KIND=real_8))/REAL(size8, KIND=real_8)\n size8 = INT(dbcsr_nfullrows_local(matrix_right), KIND=int_8)* &\n INT(dbcsr_nfullcols_local(matrix_right), KIND=int_8)\n size8 = MAX(1_int_8, size8)\n right_fill = (REAL(right_data_size, KIND=real_8)*REAL(right_row_nimages, KIND=real_8))/REAL(size8, KIND=real_8)\n size8 = INT(dbcsr_nfullrows_local(product_matrix), KIND=int_8)* &\n INT(dbcsr_nfullcols_local(product_matrix), KIND=int_8)\n size8 = MAX(1_int_8, size8)\n! factor = 7.0 ! Old guess\n factor = 2.4 ! New guess\n fill_guess = factor*MAX(left_fill, right_fill)\n fill_guess = MIN(1.0_real_8, MAX(0.0_real_8, fill_guess))\n IF (nthreads .GT. 1) THEN\n fill_guess = fill_guess*3.0_real_8/REAL(2*nthreads, KIND=real_8)\n END IF\n size_guess = INT(REAL(size8, KIND=real_8)*fill_guess, KIND=int_4)\n END FUNCTION product_matrix_size_guess\n\n SUBROUTINE calculate_norms(matrix, norms, row_blk_sizes, col_blk_sizes)\n !! Calculates per-block norms.\n !! Rewritten to be very low-level.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! DBCSR matrix for which to calculate norms\n REAL(kind=sp), DIMENSION(:), INTENT(OUT) :: norms\n !! Block norms\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS, INTENT(IN) :: row_blk_sizes, col_blk_sizes\n\n CHARACTER(len=*), PARAMETER :: routineN = 'calculate_norms'\n\n INTEGER :: data_type, handle, nblks\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n ! Checks for validity\n IF (.NOT. dbcsr_valid_index(matrix)) &\n DBCSR_ABORT(\"The matrix must be valid.\")\n data_type = dbcsr_get_data_type(matrix)\n nblks = matrix%nblks\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n CALL calc_norms_s(norms, nblks, matrix%coo_l, &\n row_blk_sizes, col_blk_sizes, &\n dbcsr_get_data_p_s(matrix%data_area))\n CASE (dbcsr_type_real_8)\n CALL calc_norms_d(norms, nblks, matrix%coo_l, &\n row_blk_sizes, col_blk_sizes, &\n dbcsr_get_data_p_d(matrix%data_area))\n CASE (dbcsr_type_complex_4)\n CALL calc_norms_c(norms, nblks, matrix%coo_l, &\n row_blk_sizes, col_blk_sizes, &\n dbcsr_get_data_p_c(matrix%data_area))\n CASE (dbcsr_type_complex_8)\n CALL calc_norms_z(norms, nblks, matrix%coo_l, &\n row_blk_sizes, col_blk_sizes, &\n dbcsr_get_data_p_z(matrix%data_area))\n CASE DEFAULT\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n !\n CALL timestop(handle)\n END SUBROUTINE calculate_norms\n\n PURE SUBROUTINE local_filter(full_data, nle, local_elements, local_data)\n !! Gathers the local elements from all data (full_data)\n\n INTEGER, DIMENSION(:), INTENT(IN), CONTIGUOUS :: full_data\n !! All elements\n INTEGER, INTENT(IN) :: nle\n !! Number of local elements\n INTEGER, DIMENSION(1:nle), INTENT(IN) :: local_elements\n !! List of local elements\n INTEGER, DIMENSION(1:nle), INTENT(OUT) :: local_data\n !! Local elements obtained from all elements\n\n INTEGER :: l\n\n DO l = 1, nle\n local_data(l) = full_data(local_elements(l))\n END DO\n END SUBROUTINE local_filter\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1, normname1 in inst_params_float\n SUBROUTINE calc_norms_${nametype1}$ (norms, nblks, &\n blki, rbs, cbs, DATA)\n !! Calculates norms of the entire matrix with minimal overhead.\n REAL(kind=sp), DIMENSION(:), INTENT(OUT) :: norms\n INTEGER, INTENT(IN) :: nblks\n INTEGER, DIMENSION(3, nblks), INTENT(IN) :: blki\n INTEGER, DIMENSION(:), INTENT(IN) :: rbs, cbs\n ${type1}$, DIMENSION(:), &\n INTENT(IN) :: DATA\n\n INTEGER :: blk, bp, bpe, row, col\n\n REAL(KIND=real_8), EXTERNAL :: DDOT\n#if defined (__ACCELERATE)\n REAL(KIND=real_8), EXTERNAL :: SDOT\n#else\n REAL(KIND=real_4), EXTERNAL :: SDOT\n#endif\n\n! ---------------------------------------------------------------------------\n\n!$OMP parallel default(none) &\n!$OMP shared(DATA, norms, nblks, rbs, cbs, blki) &\n!$OMP private(row, col, blk, bp, bpe)\n!$OMP do schedule(dynamic)\n DO blk = 1, nblks\n bp = blki(3, blk)\n row = blki(1, blk)\n col = blki(2, blk)\n #:if nametype1 in ['d', 's']\n bpe = rbs(row)*cbs(col)\n norms(blk) = REAL(${normname1}$ (bpe, data(bp), 1, data(bp), 1)), KIND = sp)\n #:else\n bpe = bp + rbs(row)*cbs(col) - 1\n norms(blk) = REAL(SUM(ABS(DATA(bp:bpe))**2), KIND=sp)\n #:endif\n END DO\n!$OMP end do\n!$OMP end parallel\n END SUBROUTINE calc_norms_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_mm_common\n" }, { "path": "src/mm/dbcsr_mm_csr.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_csr\n !! Third layer of the dbcsr matrix-matrix multiplication.\n !! It collects the full matrix blocks, which need to be multiplied,\n !! and stores their parameters in various stacks.\n !! After a certain amount of parameters is collected it dispatches\n !! the filled stacks to either the CPU or the accelerator device.\n !! Modification history:\n !! - 2010-02-23 Moved from dbcsr_operations\n !! - 2011-11 Moved parameter-stack processing routines to\n !! dbcsr_mm_methods.\n !! - 2013-01 extensive refactoring (Ole Schuett)\n\n USE dbcsr_array_types, ONLY: array_data\n USE dbcsr_block_operations, ONLY: block_add, &\n dbcsr_block_copy_aa\n USE dbcsr_config, ONLY: dbcsr_cfg, &\n default_resize_factor\n USE dbcsr_data_methods, ONLY: dbcsr_data_ensure_size\n USE dbcsr_dist_util, ONLY: map_most_common\n USE dbcsr_kinds, ONLY: int_1, &\n int_4, &\n int_8, &\n sp\n USE dbcsr_mm_sched, ONLY: &\n dbcsr_mm_sched_barrier, dbcsr_mm_sched_begin_burst, dbcsr_mm_sched_dev2host_init, &\n dbcsr_mm_sched_end_burst, dbcsr_mm_sched_finalize, dbcsr_mm_sched_init, &\n dbcsr_mm_sched_lib_finalize, dbcsr_mm_sched_lib_init, &\n dbcsr_mm_sched_process, dbcsr_mm_sched_set_orig_datasize, dbcsr_mm_sched_type\n USE dbcsr_mm_types, ONLY: &\n dbcsr_ps_width, p_a_first, p_b_first, p_c_blk, p_c_first, p_k, p_m, p_n, &\n stack_descriptor_type\n USE dbcsr_ptr_util, ONLY: ensure_array_size\n USE dbcsr_toollib, ONLY: sort\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_type, &\n dbcsr_work_type\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_csr'\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n INTEGER, PARAMETER :: max_stack_block_size = HUGE(INT(0))\n !! max_stack_block_size The maximal block size to be specially treated.\n\n! **************************************************************************************************\n TYPE dbcsr_mm_csr_type\n PRIVATE\n TYPE(hash_table_type), DIMENSION(:), POINTER :: c_hashes => Null()\n INTEGER :: nm_stacks = -1, nn_stacks = -1, nk_stacks = -1\n INTEGER(KIND=int_4), DIMENSION(:), POINTER :: m_size_maps => Null()\n INTEGER(KIND=int_4), DIMENSION(:), POINTER :: n_size_maps => Null()\n INTEGER(KIND=int_4), DIMENSION(:), POINTER :: k_size_maps => Null()\n INTEGER :: max_m = -1, max_n = -1, max_k = -1\n INTEGER :: m_size_maps_size = -1, &\n n_size_maps_size = -1, &\n k_size_maps_size = -1\n INTEGER(KIND=int_1), DIMENSION(:, :, :), POINTER :: stack_map => Null()\n TYPE(stack_descriptor_type), DIMENSION(:), POINTER :: stacks_descr => Null()\n TYPE(dbcsr_work_type), POINTER :: product_wm => Null()\n INTEGER, DIMENSION(:, :, :), POINTER :: stacks_data => Null()\n INTEGER, DIMENSION(:), POINTER :: stacks_fillcount => Null()\n TYPE(dbcsr_mm_sched_type) :: sched = dbcsr_mm_sched_type()\n LOGICAL :: keep_product_data = .FALSE.\n END TYPE dbcsr_mm_csr_type\n\n#include \"utils/dbcsr_hash_table_types.f90\"\n\n! **************************************************************************************************\n PUBLIC :: dbcsr_mm_csr_type\n PUBLIC :: dbcsr_mm_csr_lib_init, dbcsr_mm_csr_lib_finalize\n PUBLIC :: dbcsr_mm_csr_init, dbcsr_mm_csr_finalize\n PUBLIC :: dbcsr_mm_csr_multiply, dbcsr_mm_csr_purge_stacks\n PUBLIC :: dbcsr_mm_csr_dev2host_init, dbcsr_mm_csr_red3D\n\nCONTAINS\n\n SUBROUTINE dbcsr_mm_csr_lib_init()\n !! Initialize the library\n\n CALL dbcsr_mm_sched_lib_init()\n END SUBROUTINE\n\n SUBROUTINE dbcsr_mm_csr_lib_finalize()\n !! Finalize the library\n CALL dbcsr_mm_sched_lib_finalize()\n END SUBROUTINE\n\n SUBROUTINE dbcsr_mm_csr_multiply(this, left, right, mi, mf, ni, nf, ki, kf, &\n !! A wrapper around dbcsr_mm_csr_multiply_low to avoid expensive dereferencings.\n ai, af, &\n bi, bf, &\n m_sizes, n_sizes, k_sizes, &\n c_local_rows, c_local_cols, &\n c_has_symmetry, keep_sparsity, use_eps, &\n row_max_epss, &\n flop, &\n a_index, b_index, a_norms, b_norms)\n TYPE(dbcsr_mm_csr_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n INTEGER, INTENT(IN) :: mi, mf, ni, nf, ki, kf, ai, af, bi, bf\n INTEGER, DIMENSION(:), INTENT(INOUT) :: m_sizes, n_sizes, k_sizes, c_local_rows, &\n c_local_cols\n LOGICAL, INTENT(INOUT) :: c_has_symmetry, keep_sparsity, use_eps\n REAL(kind=sp), DIMENSION(:) :: row_max_epss\n INTEGER(KIND=int_8), INTENT(INOUT) :: flop\n INTEGER, DIMENSION(1:3, 1:af), INTENT(IN) :: a_index\n INTEGER, DIMENSION(1:3, 1:bf), INTENT(IN) :: b_index\n REAL(KIND=sp), DIMENSION(:), POINTER :: a_norms, b_norms\n\n INTEGER :: ithread, max_new_nblks, nblks_new\n\n ithread = 0\n!$ ithread = omp_get_thread_num()\n\n ! This has to be done here because ensure_array_size() expects a pointer.\n ! the maximum number of blocks can be safely estimated by considering both the rowxcol,\n ! but also the blocks the latter can never be larger than norec**2, which is a 'small' constant\n max_new_nblks = INT(MIN(INT(mf - mi + 1, int_8)*INT(nf - ni + 1, int_8), &\n INT(af - ai + 1, int_8)*INT(bf - bi + 1, int_8)))\n\n nblks_new = this%product_wm%lastblk + max_new_nblks\n\n CALL ensure_array_size(this%product_wm%row_i, ub=nblks_new, &\n factor=default_resize_factor)\n CALL ensure_array_size(this%product_wm%col_i, ub=nblks_new, &\n factor=default_resize_factor)\n CALL ensure_array_size(this%product_wm%blk_p, ub=nblks_new, &\n factor=default_resize_factor)\n\n CALL dbcsr_mm_csr_multiply_low(this, left=left, right=right, &\n mi=mi, mf=mf, ki=ki, kf=kf, &\n ai=ai, af=af, &\n bi=bi, bf=bf, &\n c_row_i=this%product_wm%row_i, &\n c_col_i=this%product_wm%col_i, &\n c_blk_p=this%product_wm%blk_p, &\n lastblk=this%product_wm%lastblk, &\n datasize=this%product_wm%datasize, &\n m_sizes=m_sizes, n_sizes=n_sizes, k_sizes=k_sizes, &\n c_local_rows=c_local_rows, c_local_cols=c_local_cols, &\n c_has_symmetry=c_has_symmetry, keep_sparsity=keep_sparsity, &\n use_eps=use_eps, &\n row_max_epss=row_max_epss, &\n flop=flop, &\n row_size_maps=this%m_size_maps, &\n col_size_maps=this%n_size_maps, &\n k_size_maps=this%k_size_maps, &\n row_size_maps_size=this%m_size_maps_size, &\n col_size_maps_size=this%n_size_maps_size, &\n k_size_maps_size=this%k_size_maps_size, &\n nm_stacks=this%nm_stacks, nn_stacks=this%nn_stacks, &\n nk_stacks=this%nk_stacks, &\n stack_map=this%stack_map, &\n stacks_data=this%stacks_data, &\n stacks_fillcount=this%stacks_fillcount, &\n c_hashes=this%c_hashes, &\n a_index=a_index, b_index=b_index, &\n a_norms=a_norms, b_norms=b_norms)\n\n END SUBROUTINE dbcsr_mm_csr_multiply\n\n SUBROUTINE dbcsr_mm_csr_multiply_low(this, left, right, mi, mf, ki, kf, &\n !! Performs multiplication of smaller submatrices.\n ai, af, bi, bf, &\n c_row_i, c_col_i, c_blk_p, lastblk, datasize, &\n m_sizes, n_sizes, k_sizes, &\n c_local_rows, c_local_cols, &\n c_has_symmetry, keep_sparsity, use_eps, &\n row_max_epss, flop, &\n row_size_maps, col_size_maps, k_size_maps, &\n row_size_maps_size, col_size_maps_size, k_size_maps_size, &\n nm_stacks, nn_stacks, nk_stacks, stack_map, &\n stacks_data, stacks_fillcount, c_hashes, &\n a_index, b_index, a_norms, b_norms)\n TYPE(dbcsr_mm_csr_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n INTEGER, INTENT(IN) :: mi, mf, ki, kf, ai, af, bi, bf\n INTEGER, DIMENSION(:), INTENT(INOUT) :: c_row_i, c_col_i, c_blk_p\n INTEGER, INTENT(INOUT) :: lastblk, datasize\n INTEGER, DIMENSION(:), INTENT(IN) :: m_sizes, n_sizes, k_sizes, c_local_rows, &\n c_local_cols\n LOGICAL, INTENT(IN) :: c_has_symmetry, keep_sparsity, use_eps\n REAL(kind=sp), DIMENSION(:) :: row_max_epss\n INTEGER(KIND=int_8), INTENT(INOUT) :: flop\n INTEGER, INTENT(IN) :: row_size_maps_size, k_size_maps_size, &\n col_size_maps_size\n INTEGER(KIND=int_4), &\n DIMENSION(0:row_size_maps_size - 1), INTENT(IN) :: row_size_maps\n INTEGER(KIND=int_4), &\n DIMENSION(0:col_size_maps_size - 1), INTENT(IN) :: col_size_maps\n INTEGER(KIND=int_4), &\n DIMENSION(0:k_size_maps_size - 1), INTENT(IN) :: k_size_maps\n INTEGER, INTENT(IN) :: nm_stacks, nn_stacks, nk_stacks\n INTEGER(KIND=int_1), DIMENSION(nn_stacks + 1, &\n nk_stacks + 1, nm_stacks + 1), INTENT(IN) :: stack_map\n INTEGER, DIMENSION(:, :, :), INTENT(INOUT) :: stacks_data\n INTEGER, DIMENSION(:), INTENT(INOUT) :: stacks_fillcount\n TYPE(hash_table_type), DIMENSION(:), INTENT(INOUT) :: c_hashes\n INTEGER, DIMENSION(1:3, 1:af), INTENT(IN) :: a_index\n INTEGER, DIMENSION(1:3, 1:bf), INTENT(IN) :: b_index\n REAL(KIND=sp), DIMENSION(:), POINTER :: a_norms, b_norms\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_csr_multiply_low'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: a_blk, a_col_l, a_row_l, b_blk, b_col_l, c_blk_id, c_col_logical, c_nze, &\n c_row_logical, ithread, k_size, m_size, mapped_col_size, mapped_k_size, mapped_row_size, &\n n_a_norms, n_b_norms, n_size, nstacks, s_dp, ws\n INTEGER, DIMENSION(mi:mf + 1) :: a_row_p\n INTEGER, DIMENSION(ki:kf + 1) :: b_row_p\n INTEGER, DIMENSION(2, bf - bi + 1) :: b_blk_info\n INTEGER, DIMENSION(2, af - ai + 1) :: a_blk_info\n INTEGER(KIND=int_4) :: offset\n LOGICAL :: block_exists\n REAL(kind=sp) :: a_norm, a_row_eps, b_norm\n REAL(KIND=sp), DIMENSION(1:af - ai + 1) :: left_norms\n REAL(KIND=sp), DIMENSION(1:bf - bi + 1) :: right_norms\n\n! ---------------------------------------------------------------------------\n\n ithread = 0\n!$ ithread = omp_get_thread_num()\n\n nstacks = SIZE(this%stacks_data, 3)\n\n IF (use_eps) THEN\n n_a_norms = af - ai + 1\n n_b_norms = bf - bi + 1\n ELSE\n n_a_norms = 0\n n_b_norms = 0\n END IF\n\n !\n ! Build the indices\n CALL build_csr_index(mi, mf, ai, af, a_row_p, a_blk_info, a_index, &\n n_a_norms, left_norms, a_norms)\n CALL build_csr_index(ki, kf, bi, bf, b_row_p, b_blk_info, b_index, &\n n_b_norms, right_norms, b_norms)\n\n a_row_cycle: DO a_row_l = mi, mf\n m_size = m_sizes(a_row_l)\n\n a_row_eps = row_max_epss(a_row_l)\n mapped_row_size = row_size_maps(m_size)\n\n a_blk_cycle: DO a_blk = a_row_p(a_row_l) + 1, a_row_p(a_row_l + 1)\n a_col_l = a_blk_info(1, a_blk)\n IF (debug_mod) WRITE (*, *) ithread, routineN//\" A col\", a_col_l, \";\", a_row_l\n k_size = k_sizes(a_col_l)\n mapped_k_size = k_size_maps(k_size)\n\n a_norm = left_norms(a_blk)\n b_blk_cycle: DO b_blk = b_row_p(a_col_l) + 1, b_row_p(a_col_l + 1)\n IF (dbg) THEN\n WRITE (*, '(1X,A,3(1X,I7),1X,A,1X,I16)') routineN//\" trying B\", &\n a_row_l, b_blk_info(1, b_blk), a_col_l, \"at\", b_blk_info(2, b_blk)\n END IF\n b_norm = right_norms(b_blk)\n IF (a_norm*b_norm .LT. a_row_eps) THEN\n CYCLE\n END IF\n b_col_l = b_blk_info(1, b_blk)\n ! Don't calculate symmetric blocks.\n symmetric_product: IF (c_has_symmetry) THEN\n c_row_logical = c_local_rows(a_row_l)\n c_col_logical = c_local_cols(b_col_l)\n IF (c_row_logical .NE. c_col_logical &\n .AND. my_checker_tr(c_row_logical, c_col_logical)) THEN\n IF (dbg) THEN\n WRITE (*, *) \"Skipping symmetric block!\", c_row_logical, &\n c_col_logical\n END IF\n CYCLE\n END IF\n END IF symmetric_product\n\n c_blk_id = hash_table_get(c_hashes(a_row_l), b_col_l)\n IF (.FALSE.) THEN\n WRITE (*, '(1X,A,3(1X,I7),1X,A,1X,I16)') routineN//\" coor\", &\n a_row_l, a_col_l, b_col_l, \"c blk\", c_blk_id\n END IF\n block_exists = c_blk_id .GT. 0\n\n n_size = n_sizes(b_col_l)\n c_nze = m_size*n_size\n !\n IF (block_exists) THEN\n offset = c_blk_p(c_blk_id)\n ELSE\n IF (keep_sparsity) CYCLE\n\n offset = datasize + 1\n lastblk = lastblk + 1\n datasize = datasize + c_nze\n c_blk_id = lastblk ! assign a new c-block-id\n\n IF (dbg) WRITE (*, *) routineN//\" new block offset, nze\", offset, c_nze\n CALL hash_table_add(c_hashes(a_row_l), &\n b_col_l, c_blk_id)\n\n ! We still keep the linear index because it's\n ! easier than getting the values out of the\n ! hashtable in the end.\n c_row_i(lastblk) = a_row_l\n c_col_i(lastblk) = b_col_l\n c_blk_p(lastblk) = offset\n END IF\n\n ! TODO: this is only called with careful_mod\n ! We should not call certain MM routines (netlib BLAS)\n ! with zero LDs; however, we still need to get to here\n ! to get new blocks.\n IF (careful_mod) THEN\n IF (c_nze .EQ. 0 .OR. k_size .EQ. 0) THEN\n DBCSR_ABORT(\"Can not call MM with LDx=0.\")\n CYCLE\n END IF\n END IF\n\n mapped_col_size = col_size_maps(n_size)\n ws = stack_map(mapped_col_size, mapped_k_size, mapped_row_size)\n stacks_fillcount(ws) = stacks_fillcount(ws) + 1\n s_dp = stacks_fillcount(ws)\n\n stacks_data(p_m, s_dp, ws) = m_size\n stacks_data(p_n, s_dp, ws) = n_size\n stacks_data(p_k, s_dp, ws) = k_size\n stacks_data(p_a_first, s_dp, ws) = a_blk_info(2, a_blk)\n stacks_data(p_b_first, s_dp, ws) = b_blk_info(2, b_blk)\n stacks_data(p_c_first, s_dp, ws) = offset\n stacks_data(p_c_blk, s_dp, ws) = c_blk_id\n\n flop = flop + INT(2*c_nze, int_8)*INT(k_size, int_8)\n\n IF (stacks_fillcount(ws) >= SIZE(stacks_data, 2)) &\n CALL flush_stacks(this, left=left, right=right)\n\n END DO b_blk_cycle ! b\n END DO a_blk_cycle ! a_col\n END DO a_row_cycle ! a_row\n\n END SUBROUTINE dbcsr_mm_csr_multiply_low\n\n SUBROUTINE dbcsr_mm_csr_init(this, left, right, product, &\n !! Initializes a multiplication cycle for new set of C-blocks.\n m_sizes, n_sizes, block_estimate, right_row_blk_size, &\n nlayers, keep_product_data)\n TYPE(dbcsr_mm_csr_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN), OPTIONAL :: left, right\n TYPE(dbcsr_type), INTENT(INOUT) :: product\n INTEGER, DIMENSION(:), POINTER :: m_sizes, n_sizes\n INTEGER, INTENT(IN) :: block_estimate\n INTEGER, DIMENSION(:), INTENT(IN) :: right_row_blk_size\n INTEGER, OPTIONAL :: nlayers\n LOGICAL, INTENT(IN) :: keep_product_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_csr_init'\n\n INTEGER :: default_stack, handle, istack, ithread, &\n k_map, k_size, m_map, m_size, n_map, &\n n_size, nstacks, nthreads, ps_g\n INTEGER, ALLOCATABLE, DIMENSION(:) :: flop_index, flop_list, most_common_k, &\n most_common_m, most_common_n\n TYPE(stack_descriptor_type), ALLOCATABLE, &\n DIMENSION(:) :: tmp_descr\n\n CALL timeset(routineN, handle)\n\n ithread = 0; nthreads = 1\n!$ ithread = OMP_GET_THREAD_NUM(); nthreads = OMP_GET_NUM_THREADS()\n\n IF (PRESENT(left) .NEQV. PRESENT(right)) &\n DBCSR_ABORT(\"Must both left and right provided or not.\")\n\n IF (PRESENT(left) .AND. PRESENT(right)) THEN\n ! find out if we have local_indexin\n IF (.NOT. right%local_indexing) &\n DBCSR_ABORT(\"Matrices must have local indexing.\")\n IF (.NOT. left%local_indexing) &\n DBCSR_ABORT(\"Matrices must have local indexing.\")\n END IF\n ! Setup the hash tables if needed\n ALLOCATE (this%c_hashes(product%nblkrows_local))\n CALL fill_hash_tables(this%c_hashes, product, block_estimate, &\n row_map=array_data(product%global_rows), &\n col_map=array_data(product%global_cols))\n\n ! Setup the MM stack\n this%nm_stacks = dbcsr_cfg%n_stacks%val\n this%nn_stacks = dbcsr_cfg%n_stacks%val\n this%nk_stacks = dbcsr_cfg%n_stacks%val\n nstacks = this%nm_stacks*this%nn_stacks*this%nk_stacks + 1\n IF (nstacks > INT(HUGE(this%stack_map))) &\n DBCSR_ABORT(\"Too many stacks requested (global/dbcsr/n_size_*_stacks in input)\")\n\n ALLOCATE (this%stacks_descr(nstacks))\n ALLOCATE (this%stacks_data(dbcsr_ps_width, dbcsr_cfg%mm_stack_size%val, nstacks))\n ALLOCATE (this%stacks_fillcount(nstacks))\n this%stacks_fillcount(:) = 0\n\n ALLOCATE (most_common_m(this%nm_stacks))\n ALLOCATE (most_common_n(this%nn_stacks))\n ALLOCATE (most_common_k(this%nk_stacks))\n CALL map_most_common(m_sizes, this%m_size_maps, this%nm_stacks, &\n most_common_m, &\n max_stack_block_size, this%max_m)\n this%m_size_maps_size = SIZE(this%m_size_maps)\n CALL map_most_common(n_sizes, this%n_size_maps, this%nn_stacks, &\n most_common_n, &\n max_stack_block_size, this%max_n)\n this%n_size_maps_size = SIZE(this%n_size_maps)\n CALL map_most_common(right_row_blk_size, &\n this%k_size_maps, this%nk_stacks, &\n most_common_k, &\n max_stack_block_size, this%max_k)\n this%k_size_maps_size = SIZE(this%k_size_maps)\n\n ! Creates the stack map--a mapping from (mapped) stack block sizes\n ! (carrier%*_sizes) to a stack number. Triples with even one\n ! uncommon size will be mapped to a general, non-size-specific\n ! stack.\n ALLOCATE (this%stack_map(this%nn_stacks + 1, this%nk_stacks + 1, this%nm_stacks + 1))\n default_stack = nstacks\n\n DO m_map = 1, this%nm_stacks + 1\n IF (m_map .LE. this%nm_stacks) THEN\n m_size = most_common_m(m_map)\n ELSE\n m_size = 777\n END IF\n DO k_map = 1, this%nk_stacks + 1\n IF (k_map .LE. this%nk_stacks) THEN\n k_size = most_common_k(k_map)\n ELSE\n k_size = 888\n END IF\n DO n_map = 1, this%nn_stacks + 1\n IF (n_map .LE. this%nn_stacks) THEN\n n_size = most_common_n(n_map)\n ELSE\n n_size = 999\n END IF\n IF (m_map .LE. this%nm_stacks &\n .AND. k_map .LE. this%nk_stacks &\n .AND. n_map .LE. this%nn_stacks) THEN\n ! This is the case when m, n, and k are all defined.\n ps_g = (m_map - 1)*this%nn_stacks*this%nk_stacks + &\n (k_map - 1)*this%nn_stacks + n_map\n ps_g = nstacks - ps_g\n this%stack_map(n_map, k_map, m_map) = INT(ps_g, kind=int_1)\n ! Also take care of the stack m, n, k descriptors\n this%stacks_descr(ps_g)%m = m_size\n this%stacks_descr(ps_g)%n = n_size\n this%stacks_descr(ps_g)%k = k_size\n this%stacks_descr(ps_g)%max_m = m_size\n this%stacks_descr(ps_g)%max_n = n_size\n this%stacks_descr(ps_g)%max_k = k_size\n this%stacks_descr(ps_g)%defined_mnk = .TRUE.\n ELSE\n ! This is the case when at least one of m, n, or k is\n ! undefined.\n ps_g = default_stack\n this%stack_map(n_map, k_map, m_map) = INT(default_stack, kind=int_1)\n ! Also take care of the stack m, n, k descriptors\n this%stacks_descr(ps_g)%m = 0\n this%stacks_descr(ps_g)%n = 0\n this%stacks_descr(ps_g)%k = 0\n this%stacks_descr(ps_g)%max_m = this%max_m\n this%stacks_descr(ps_g)%max_n = this%max_n\n this%stacks_descr(ps_g)%max_k = this%max_k\n this%stacks_descr(ps_g)%defined_mnk = .FALSE.\n END IF\n END DO\n END DO\n END DO\n DEALLOCATE (most_common_m)\n DEALLOCATE (most_common_n)\n DEALLOCATE (most_common_k)\n\n ! sort to make the order fixed... all defined stacks first, default stack\n ! last. Next, sort according to flops, first stack lots of flops, last\n ! stack, few flops\n ! The default stack shall remain at the end of the gridcolumn\n ALLOCATE (flop_list(nstacks - 1), flop_index(nstacks - 1), tmp_descr(nstacks))\n DO istack = 1, nstacks - 1\n flop_list(istack) = -2*this%stacks_descr(istack)%m &\n *this%stacks_descr(istack)%n &\n *this%stacks_descr(istack)%k\n END DO\n\n CALL sort(flop_list, nstacks - 1, flop_index)\n tmp_descr(:) = this%stacks_descr\n DO istack = 1, nstacks - 1\n this%stacks_descr(istack) = tmp_descr(flop_index(istack))\n END DO\n\n DO m_map = 1, SIZE(this%stack_map, 1)\n DO k_map = 1, SIZE(this%stack_map, 2)\n map_loop: DO n_map = 1, SIZE(this%stack_map, 1)\n DO istack = 1, nstacks - 1\n IF (this%stack_map(m_map, k_map, n_map) == flop_index(istack)) THEN\n this%stack_map(m_map, k_map, n_map) = INT(istack, kind=int_1)\n CYCLE map_loop\n END IF\n END DO\n END DO map_loop\n END DO\n END DO\n DEALLOCATE (flop_list, flop_index, tmp_descr)\n\n this%keep_product_data = keep_product_data\n\n this%product_wm => product%wms(ithread + 1)\n CALL dbcsr_mm_sched_init(this%sched, &\n product_wm=this%product_wm, &\n nlayers=nlayers, &\n keep_product_data=keep_product_data)\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_mm_csr_init\n\n SUBROUTINE fill_hash_tables(hashes, matrix, block_estimate, row_map, col_map)\n !! Fills row hashtable from an existing matrix.\n\n TYPE(hash_table_type), DIMENSION(:), INTENT(inout) :: hashes\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n INTEGER :: block_estimate\n !! guess for the number of blocks in the product matrix, can be zero\n INTEGER, DIMENSION(:), INTENT(IN) :: row_map, col_map\n\n CHARACTER(len=*), PARAMETER :: routineN = 'fill_hash_tables'\n\n INTEGER :: col, handle, i, imat, n_rows, row\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n imat = 1\n!$ imat = OMP_GET_THREAD_NUM() + 1\n n_rows = matrix%nblkrows_local\n IF (SIZE(hashes) /= n_rows) &\n DBCSR_ABORT(\"Local row count mismatch\")\n DO row = 1, n_rows\n ! create the hash table row with a reasonable initial size\n CALL hash_table_create(hashes(row), &\n MAX(8, (3*block_estimate)/MAX(1, n_rows)))\n END DO\n ! We avoid using the iterator because we will use the existing\n ! work matrix instead of the BCSR index.\n DO i = 1, matrix%wms(imat)%lastblk\n row = matrix%wms(imat)%row_i(i)\n col = matrix%wms(imat)%col_i(i)\n row = row_map(row)\n col = col_map(col)\n CALL hash_table_add(hashes(row), col, i)\n END DO\n CALL timestop(handle)\n END SUBROUTINE fill_hash_tables\n\n SUBROUTINE dbcsr_mm_csr_finalize(this)\n !! Finalizes a multiplication cycle for a set of C-blocks.\n TYPE(dbcsr_mm_csr_type), INTENT(INOUT) :: this\n\n INTEGER :: i\n\n CALL dbcsr_mm_sched_finalize(this%sched)\n\n ! Clear hash tables\n DO i = 1, SIZE(this%c_hashes)\n CALL hash_table_release(this%c_hashes(i))\n END DO\n DEALLOCATE (this%c_hashes)\n DEALLOCATE (this%stacks_descr)\n DEALLOCATE (this%stack_map)\n DEALLOCATE (this%m_size_maps)\n DEALLOCATE (this%n_size_maps)\n DEALLOCATE (this%k_size_maps)\n DEALLOCATE (this%stacks_fillcount)\n DEALLOCATE (this%stacks_data)\n END SUBROUTINE dbcsr_mm_csr_finalize\n\n SUBROUTINE dbcsr_mm_csr_dev2host_init(this)\n TYPE(dbcsr_mm_csr_type), INTENT(INOUT) :: this\n\n CALL dbcsr_mm_sched_dev2host_init(this%sched)\n\n END SUBROUTINE dbcsr_mm_csr_dev2host_init\n\n SUBROUTINE dbcsr_mm_csr_red3D(this, meta_buffer, data_buffer, flop, m_sizes, n_sizes, &\n !! Make the reduction of the 3D layers in the local csr object\n g2l_map_rows, g2l_map_cols, original_lastblk, &\n keep_sparsity)\n TYPE(dbcsr_mm_csr_type), INTENT(INOUT) :: this\n INTEGER, DIMENSION(:), INTENT(IN), TARGET :: meta_buffer\n TYPE(dbcsr_data_obj), INTENT(IN) :: data_buffer\n INTEGER(KIND=int_8), INTENT(INOUT) :: flop\n INTEGER, DIMENSION(:), INTENT(IN) :: m_sizes, n_sizes, g2l_map_rows, &\n g2l_map_cols\n INTEGER, INTENT(IN) :: original_lastblk\n LOGICAL, INTENT(IN) :: keep_sparsity\n\n INTEGER :: c_blk_id, iblock, ithread, lb, lb_data, &\n lb_meta, nblks_max, nblocks, nthreads, &\n nze, nze_max, ub_meta\n INTEGER, DIMENSION(:), POINTER :: blk_p, col_i, row_i\n LOGICAL :: block_exists\n\n ithread = 0; nthreads = 1\n!$ ithread = OMP_GET_THREAD_NUM(); nthreads = OMP_GET_NUM_THREADS()\n lb_meta = meta_buffer(ithread + 1)\n nblocks = (meta_buffer(ithread + 2) - lb_meta)/3\n ub_meta = lb_meta + nblocks\n row_i => meta_buffer(lb_meta + 1:ub_meta)\n lb_meta = ub_meta\n ub_meta = lb_meta + nblocks\n col_i => meta_buffer(lb_meta + 1:ub_meta)\n ! Make local indexing if needed\n IF (keep_sparsity) THEN\n DO iblock = 1, original_lastblk\n row_i(iblock) = g2l_map_rows(row_i(iblock))\n col_i(iblock) = g2l_map_cols(col_i(iblock))\n END DO\n END IF\n lb_meta = ub_meta\n ub_meta = lb_meta + nblocks\n blk_p => meta_buffer(lb_meta + 1:ub_meta)\n !\n ! Get sizes\n nze_max = this%product_wm%datasize\n nblks_max = this%product_wm%lastblk\n DO iblock = 1, nblocks\n nze = m_sizes(row_i(iblock))*n_sizes(col_i(iblock))\n IF (nze .EQ. 0) CYCLE\n c_blk_id = hash_table_get(this%c_hashes(row_i(iblock)), col_i(iblock))\n block_exists = c_blk_id .GT. 0\n IF (block_exists) CYCLE\n nblks_max = nblks_max + 1\n nze_max = nze_max + nze\n END DO\n ! Resize buffers\n CALL dbcsr_data_ensure_size(this%product_wm%data_area, &\n nze_max, factor=default_resize_factor, nocopy=.FALSE., &\n zero_pad=.TRUE.)\n CALL ensure_array_size(this%product_wm%row_i, ub=nblks_max, &\n factor=default_resize_factor, nocopy=.FALSE.)\n CALL ensure_array_size(this%product_wm%col_i, ub=nblks_max, &\n factor=default_resize_factor, nocopy=.FALSE.)\n CALL ensure_array_size(this%product_wm%blk_p, ub=nblks_max, &\n factor=default_resize_factor, nocopy=.FALSE.)\n DO iblock = 1, nblocks\n nze = m_sizes(row_i(iblock))*n_sizes(col_i(iblock))\n IF (nze .EQ. 0) CYCLE\n lb_data = blk_p(iblock)\n c_blk_id = hash_table_get(this%c_hashes(row_i(iblock)), col_i(iblock))\n block_exists = c_blk_id .GT. 0\n IF (block_exists) THEN\n lb = this%product_wm%blk_p(c_blk_id)\n CALL block_add(this%product_wm%data_area, data_buffer, &\n lb, lb_data, nze)\n flop = flop + nze\n ELSE\n lb = this%product_wm%datasize + 1\n this%product_wm%lastblk = this%product_wm%lastblk + 1\n this%product_wm%datasize = this%product_wm%datasize + nze\n c_blk_id = this%product_wm%lastblk ! assign a new c-block-id\n CALL hash_table_add(this%c_hashes(row_i(iblock)), col_i(iblock), c_blk_id)\n this%product_wm%row_i(this%product_wm%lastblk) = row_i(iblock)\n this%product_wm%col_i(this%product_wm%lastblk) = col_i(iblock)\n this%product_wm%blk_p(this%product_wm%lastblk) = lb\n !\n CALL dbcsr_block_copy_aa(this%product_wm%data_area, data_buffer, &\n m_sizes(row_i(iblock)), n_sizes(col_i(iblock)), lb, lb_data)\n END IF\n END DO\n CALL dbcsr_mm_sched_set_orig_datasize(this%sched, this%product_wm%datasize)\n END SUBROUTINE dbcsr_mm_csr_red3D\n\n SUBROUTINE dbcsr_mm_csr_purge_stacks(this, left, right)\n TYPE(dbcsr_mm_csr_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n\n CALL flush_stacks(this, left, right, purge=.TRUE.)\n CALL dbcsr_mm_sched_barrier()\n END SUBROUTINE dbcsr_mm_csr_purge_stacks\n\n SUBROUTINE flush_stacks(this, left, right, purge)\n TYPE(dbcsr_mm_csr_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n LOGICAL, INTENT(IN), OPTIONAL :: purge\n\n INTEGER :: i, min_fill, n_stacks\n INTEGER, DIMENSION(:, :), POINTER :: stack_data\n INTEGER, POINTER :: stack_fillcount\n TYPE(stack_descriptor_type) :: stack_descr\n\n n_stacks = SIZE(this%stacks_data, 3)\n min_fill = SIZE(this%stacks_data, 2)*3/4 !TODO: play with this\n IF (PRESENT(purge)) THEN\n IF (purge) min_fill = 0\n END IF\n\n CALL dbcsr_mm_sched_begin_burst(this%sched)\n\n DO i = 1, n_stacks\n IF (this%stacks_fillcount(i) > min_fill) THEN\n stack_data => this%stacks_data(:, :, i)\n stack_fillcount => this%stacks_fillcount(i)\n stack_descr = this%stacks_descr(i)\n\n CALL dbcsr_mm_sched_process(this%sched, &\n left, right, &\n stack_data=stack_data, &\n stack_fillcount=stack_fillcount, &\n stack_descr=stack_descr)\n\n stack_fillcount = 0\n END IF\n END DO\n\n CALL dbcsr_mm_sched_end_burst()\n END SUBROUTINE flush_stacks\n\n SUBROUTINE build_csr_index(mi, mf, ai, af, row_p, blk_info, list_index, &\n !! Builds and sorts a CSR index from a list index.\n nnorms, csr_norms, list_norms)\n INTEGER, INTENT(IN) :: mi, mf, ai, af\n INTEGER, DIMENSION(mi:mf + 1), INTENT(OUT) :: row_p\n INTEGER, DIMENSION(2, 1:af - ai + 1), INTENT(OUT) :: blk_info\n INTEGER, DIMENSION(3, 1:af), INTENT(IN) :: list_index\n INTEGER, INTENT(IN) :: nnorms\n REAL(KIND=sp), DIMENSION(1:af - ai + 1), INTENT(OUT) :: csr_norms\n REAL(KIND=sp), DIMENSION(:), INTENT(IN) :: list_norms\n\n LOGICAL, PARAMETER :: careful = .FALSE., dbg = .FALSE.\n\n INTEGER :: i, row\n INTEGER, DIMENSION(mi:mf) :: counts\n\n! ---------------------------------------------------------------------------\n! Counts blocks per row and calculates the offsets.\n\n IF (dbg) THEN\n WRITE (*, '(I7,1X,5(A,2(1X,I7)))') 0, \"bci\", mi, mf, \";\", ai, af\n !write(*,'(3(I7))')list_index(:,ai:af)\n END IF\n\n counts(:) = 0\n DO i = ai, af\n IF (careful) THEN\n IF (list_index(1, i) < mi) DBCSR_ABORT(\"Out of range\")\n IF (list_index(1, i) > mf) DBCSR_ABORT(\"Out of range\")\n END IF\n counts(list_index(1, i)) = counts(list_index(1, i)) + 1\n END DO\n row_p(mi) = 0\n DO i = mi + 1, mf + 1\n row_p(i) = row_p(i - 1) + counts(i - 1)\n END DO\n ! Adds every block to its corresponding row.\n counts(:) = 0\n DO i = ai, af\n row = list_index(1, i)\n counts(row) = counts(row) + 1\n IF (careful) THEN\n IF (row_p(row) + counts(row) > af - ai + 1) DBCSR_ABORT(\"Out of range\")\n IF (row_p(row) + counts(row) < 1) DBCSR_ABORT(\"Out of range\")\n END IF\n blk_info(1, row_p(row) + counts(row)) = list_index(2, i)\n blk_info(2, row_p(row) + counts(row)) = list_index(3, i)\n IF (nnorms .GT. 0) THEN\n csr_norms(row_p(row) + counts(row)) = list_norms(i)\n END IF\n END DO\n IF (nnorms .EQ. 0) THEN\n csr_norms(:) = 0.0_sp\n END IF\n END SUBROUTINE build_csr_index\n\n ELEMENTAL FUNCTION my_checker_tr(row, column) RESULT(transpose)\n !! Determines whether a transpose must be applied\n !!\n !! Source\n !! This function is copied from dbcsr_dist_operations for speed reasons.\n\n INTEGER, INTENT(IN) :: row, column\n !! The absolute matrix row.\n !! The absolute matrix column.\n LOGICAL :: transpose\n\n transpose = BTEST(column + row, 0) .EQV. column .GE. row\n\n END FUNCTION my_checker_tr\n\n#include \"utils/dbcsr_hash_table.f90\"\n\nEND MODULE dbcsr_mm_csr\n" }, { "path": "src/mm/dbcsr_mm_dist_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_dist_operations\n !! DBCSR operations on distributions related to matrix multiplication\n\n USE dbcsr_array_types, ONLY: &\n array_data, array_equality, array_exists, array_hold, array_i1d_obj, array_new, &\n array_nullify, array_release, array_size\n USE dbcsr_dist_methods, ONLY: &\n dbcsr_distribution_col_dist, dbcsr_distribution_has_threads, dbcsr_distribution_hold, &\n dbcsr_distribution_make_threads, dbcsr_distribution_mp, dbcsr_distribution_ncols, &\n dbcsr_distribution_new, dbcsr_distribution_no_threads, dbcsr_distribution_nrows, &\n dbcsr_distribution_release, dbcsr_distribution_row_dist, dbcsr_distribution_thread_dist\n USE dbcsr_dist_operations, ONLY: dbcsr_get_local_cols, &\n dbcsr_get_local_rows, &\n find_all_local_elements, &\n rebin_distribution\n USE dbcsr_methods, ONLY: dbcsr_distribution, &\n dbcsr_release_locals\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_mypcol, &\n dbcsr_mp_myprow, &\n dbcsr_mp_npcols, &\n dbcsr_mp_nprows\n USE dbcsr_toollib, ONLY: gcd\n USE dbcsr_types, ONLY: &\n dbcsr_distribution_obj, dbcsr_imagedistribution_obj, dbcsr_mp_obj, dbcsr_slot_home_pcol, &\n dbcsr_slot_home_prow, dbcsr_slot_home_vpcol, dbcsr_slot_home_vprow, &\n dbcsr_slot_nblkcols_local, dbcsr_slot_nblkrows_local, dbcsr_type\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n INTEGER :: idid = 0\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_dist_operations'\n\n PUBLIC :: dbcsr_create_image_dist, dbcsr_make_dists_dense\n PUBLIC :: image_calculator, make_sizes_dense\n PUBLIC :: dbcsr_reset_locals, dbcsr_reset_vlocals\n PUBLIC :: dbcsr_get_local_vrows, dbcsr_get_local_vcols\n\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n\nCONTAINS\n\n SUBROUTINE dbcsr_create_image_dist(imgdist, dist, &\n match_row_pdist, match_row_idist, match_row_nbins, &\n match_col_pdist, match_col_idist, match_col_nbins, &\n nimages_rows, nimages_cols)\n !! Creates an image distribution given the other compatibility images\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(OUT) :: imgdist\n !! distribution repetition\n TYPE(dbcsr_distribution_obj), INTENT(IN) :: dist\n !! distribution for which to form the image distribution\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: match_row_pdist, match_row_idist\n !! match the new row distribution to this row distribution\n !! match the row distribution to these row images\n INTEGER, INTENT(IN) :: match_row_nbins\n !! number of bins in the distribution to match the local rows\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: match_col_pdist, match_col_idist\n !! match the new column distribution to this column distribution\n !! match the new column distribution to these column images\n INTEGER, INTENT(IN) :: match_col_nbins, nimages_rows, &\n nimages_cols\n !! number of bins in the distribution to match the local columns\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_create_image_dist'\n\n INTEGER :: ncols, npcols, nprows, nrows\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist_data, col_img_data, col_vdist, &\n row_dist_data, row_img_data, row_vdist\n LOGICAL :: new_col_dist, new_row_dist\n TYPE(dbcsr_distribution_obj) :: new_dist\n TYPE(dbcsr_mp_obj) :: mp_env\n\n! ---------------------------------------------------------------------------\n\n idid = idid + 1\n ALLOCATE (imgdist%i)\n imgdist%i%refcount = 1\n imgdist%i%id = idid\n mp_env = dbcsr_distribution_mp(dist)\n ! Determine the factors.\n nrows = dbcsr_distribution_nrows(dist)\n ncols = dbcsr_distribution_ncols(dist)\n nprows = dbcsr_mp_nprows(mp_env)\n npcols = dbcsr_mp_npcols(mp_env)\n IF (debug_mod) WRITE (*, '(1X,A,I5,\"x\",I5)') routineN//\"pgrid\", &\n nprows, npcols\n !\n ! Create the new row distribution and row image distribution\n imgdist%i%row_decimation = nimages_rows/nprows\n imgdist%i%row_multiplicity = nimages_rows/gcd(nimages_rows, match_row_nbins)\n new_row_dist = .FALSE.\n !\n IF (debug_mod) WRITE (*, *) routineN//'row decimation, multiplicity', &\n imgdist%i%row_decimation, imgdist%i%row_multiplicity\n IF (debug_mod) WRITE (*, *) routineN//\" nprows, match prows\", nprows, match_row_nbins\n ALLOCATE (row_img_data(nrows))\n ALLOCATE (row_vdist(nrows))\n !\n IF (imgdist%i%row_decimation .EQ. 1 .AND. imgdist%i%row_multiplicity .EQ. 1 .AND. &\n .NOT. PRESENT(match_row_pdist)) THEN\n row_dist_data => dbcsr_distribution_row_dist(dist)\n row_img_data(:) = 1\n ELSE\n IF (PRESENT(match_row_pdist)) THEN\n ALLOCATE (row_dist_data(nrows))\n new_row_dist = .TRUE.\n IF (PRESENT(match_row_idist)) THEN\n CALL rebin_imaged_distribution(row_dist_data, row_img_data, &\n match_row_pdist, match_row_idist, &\n nprows, &\n imgdist%i%row_multiplicity, imgdist%i%row_decimation)\n ELSE\n CALL rebin_distribution(row_dist_data, row_img_data, &\n match_row_pdist, &\n nprows, &\n imgdist%i%row_multiplicity, imgdist%i%row_decimation)\n END IF\n ELSE\n row_dist_data => dbcsr_distribution_row_dist(dist)\n CALL reimage_distribution(row_img_data, &\n row_dist_data, nprows, imgdist%i%row_decimation)\n END IF\n END IF\n CALL make_vdistribution(nrows, row_vdist, row_dist_data, &\n imgdist%i%row_decimation, row_img_data)\n CALL array_new(imgdist%i%vrow_dist, row_vdist, gift=.TRUE.)\n !\n ! Create the new column distribution and column image distribution\n imgdist%i%col_decimation = nimages_cols/npcols\n imgdist%i%col_multiplicity = nimages_cols/gcd(nimages_cols, match_col_nbins)\n new_col_dist = .FALSE.\n !\n IF (debug_mod) WRITE (*, *) routineN//'col decimation, multiplicity', &\n imgdist%i%col_decimation, imgdist%i%col_multiplicity\n IF (debug_mod) WRITE (*, *) routineN//\" npcols, match pcols\", npcols, match_col_nbins\n ALLOCATE (col_img_data(ncols))\n ALLOCATE (col_vdist(ncols))\n !\n IF (imgdist%i%col_decimation .EQ. 1 .AND. imgdist%i%col_multiplicity .EQ. 1 .AND. &\n .NOT. PRESENT(match_col_pdist)) THEN\n col_dist_data => dbcsr_distribution_col_dist(dist)\n col_img_data(:) = 1\n ELSE\n IF (PRESENT(match_col_pdist)) THEN\n ALLOCATE (col_dist_data(ncols))\n new_col_dist = .TRUE.\n IF (PRESENT(match_col_idist)) THEN\n CALL rebin_imaged_distribution(col_dist_data, col_img_data, &\n match_col_pdist, match_col_idist, &\n npcols, &\n imgdist%i%col_multiplicity, imgdist%i%col_decimation)\n ELSE\n CALL rebin_distribution(col_dist_data, col_img_data, &\n match_col_pdist, &\n npcols, &\n imgdist%i%col_multiplicity, imgdist%i%col_decimation)\n END IF\n ELSE\n col_dist_data => dbcsr_distribution_col_dist(dist)\n CALL reimage_distribution(col_img_data, &\n col_dist_data, &\n npcols, imgdist%i%col_decimation)\n END IF\n END IF\n CALL make_vdistribution(ncols, col_vdist, col_dist_data, &\n imgdist%i%col_decimation, col_img_data)\n CALL array_new(imgdist%i%vcol_dist, col_vdist, gift=.TRUE.)\n !\n ! Copy the row & column distribution from old distribution\n IF (new_row_dist .AND. new_col_dist) THEN\n CALL dbcsr_distribution_new(new_dist, &\n mp_env, &\n row_dist_data, col_dist_data, &\n reuse_arrays=.TRUE.)\n ELSE\n CALL dbcsr_distribution_new(new_dist, &\n mp_env, &\n row_dist_data, col_dist_data)\n IF (new_row_dist) DEALLOCATE (row_dist_data)\n IF (new_col_dist) DEALLOCATE (col_dist_data)\n END IF\n ! Now finish the distribution image.\n imgdist%i%main = new_dist\n CALL array_new(imgdist%i%col_image, col_img_data, gift=.TRUE.)\n CALL array_new(imgdist%i%row_image, row_img_data, gift=.TRUE.)\n !\n imgdist%i%has_other_vl_rows = .FALSE.\n imgdist%i%has_other_vl_cols = .FALSE.\n imgdist%i%has_global_vrow_map = .FALSE.\n imgdist%i%has_global_vcol_map = .FALSE.\n !\n!$ IF (dbcsr_distribution_has_threads(dist)) THEN\n!$ imgdist%i%main%d%num_threads = dist%d%num_threads\n!$ imgdist%i%main%d%has_thread_dist = .TRUE.\n!$ imgdist%i%main%d%thread_dist = dist%d%thread_dist\n!$ CALL array_hold(imgdist%i%main%d%thread_dist)\n!$ END IF\n END SUBROUTINE dbcsr_create_image_dist\n\n SUBROUTINE dbcsr_new_image_dist(imgdist, dist, &\n template)\n TYPE(dbcsr_imagedistribution_obj), INTENT(OUT) :: imgdist\n TYPE(dbcsr_distribution_obj), INTENT(IN) :: dist\n TYPE(dbcsr_imagedistribution_obj), INTENT(IN) :: template\n\n! ---------------------------------------------------------------------------\n\n idid = idid + 1\n ALLOCATE (imgdist%i)\n imgdist%i%refcount = 1\n imgdist%i%id = idid\n imgdist%i%row_decimation = template%i%row_decimation\n imgdist%i%row_multiplicity = template%i%row_multiplicity\n imgdist%i%col_decimation = template%i%col_decimation\n imgdist%i%col_multiplicity = template%i%col_multiplicity\n !\n NULLIFY (imgdist%i%other_vl_rows)\n NULLIFY (imgdist%i%other_vl_cols)\n CALL array_nullify(imgdist%i%global_vrow_map)\n CALL array_nullify(imgdist%i%global_vcol_map)\n imgdist%i%has_other_vl_rows = .FALSE.\n imgdist%i%has_other_vl_cols = .FALSE.\n imgdist%i%has_global_vrow_map = .FALSE.\n imgdist%i%has_global_vcol_map = .FALSE.\n !\n imgdist%i%main = dist\n CALL dbcsr_distribution_hold(imgdist%i%main)\n !\n END SUBROUTINE dbcsr_new_image_dist\n\n SUBROUTINE dbcsr_make_dists_dense(product_dist, left_rdist, right_rdist, &\n !! Prepares distributions for making dense matrices.\n dense_product_dist, dense_left_rdist, dense_right_rdist, &\n partial, &\n m_map, k_vmap, n_map, &\n old_m_sizes)\n TYPE(dbcsr_distribution_obj), INTENT(IN) :: product_dist\n TYPE(dbcsr_imagedistribution_obj), INTENT(IN) :: left_rdist, right_rdist\n TYPE(dbcsr_distribution_obj), INTENT(OUT) :: dense_product_dist\n TYPE(dbcsr_imagedistribution_obj), INTENT(OUT) :: dense_left_rdist, dense_right_rdist\n LOGICAL, INTENT(IN) :: partial\n TYPE(array_i1d_obj), INTENT(OUT) :: m_map, k_vmap, n_map\n TYPE(array_i1d_obj), INTENT(IN) :: old_m_sizes\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_dists_dense'\n\n INTEGER :: error_handle, i, j, k_nbins, m_nbins, &\n n_nbins, nthreads\n INTEGER, DIMENSION(:), POINTER :: tdist\n TYPE(array_i1d_obj) :: new_k_idist, new_k_pdist, new_k_vdist, &\n new_m_dist, new_m_sizes, new_n_dist, &\n old_k_vdist, old_m_dist, old_n_dist\n TYPE(dbcsr_distribution_obj) :: dense_left_dist, dense_right_dist\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n !\n IF (.NOT. dbcsr_distribution_has_threads(product_dist)) &\n DBCSR_ABORT(\"Product distribution must have threads.\")\n tdist => array_data(dbcsr_distribution_thread_dist(product_dist))\n old_m_dist = product_dist%d%row_dist_block\n old_n_dist = product_dist%d%col_dist_block\n old_k_vdist = right_rdist%i%vrow_dist\n m_nbins = dbcsr_mp_nprows(product_dist%d%mp_env)\n n_nbins = dbcsr_mp_npcols(product_dist%d%mp_env)\n k_nbins = dbcsr_mp_nprows(right_rdist%i%main%d%mp_env)*right_rdist%i%row_decimation\n IF (.NOT. array_equality(old_k_vdist, left_rdist%i%vcol_dist)) &\n DBCSR_ABORT(\"k distribution mismatch\")\n nthreads = product_dist%d%num_threads\n !\n IF (partial) THEN\n new_m_dist = old_m_dist\n CALL array_hold(new_m_dist)\n new_n_dist = old_n_dist\n CALL array_hold(new_n_dist)\n dense_product_dist = product_dist\n CALL dbcsr_distribution_hold(dense_product_dist)\n CALL array_new(m_map, (/(i, i=1, array_size(new_m_dist))/), lb=1)\n CALL array_new(n_map, (/(i, i=1, array_size(new_n_dist))/), lb=1)\n ELSE\n CALL dbcsr_make_1dist_dense(m_nbins, old_m_dist, new_m_dist, m_map, &\n nthreads, tdist)\n CALL dbcsr_make_1dist_dense(n_nbins, old_n_dist, new_n_dist, n_map, 0)\n CALL dbcsr_distribution_new(dense_product_dist, product_dist%d%mp_env, &\n new_m_dist, new_n_dist)\n CALL make_sizes_dense(old_m_sizes, m_map, array_size(new_m_dist), new_m_sizes)\n CALL dbcsr_distribution_make_threads(dense_product_dist, &\n array_data(new_m_sizes))\n CALL array_release(new_m_sizes)\n tdist => array_data(dbcsr_distribution_thread_dist(dense_product_dist))\n ! Resets the thread distribution to be in-order.\n DO i = 1, m_nbins\n tdist((i - 1)*nthreads + 1:(i)*nthreads) = (/(j, j=0, nthreads - 1)/)\n END DO\n END IF\n !\n CALL dbcsr_make_1dist_dense(k_nbins, old_k_vdist, new_k_vdist, k_vmap, 0)\n CALL v_to_p_i_dist_o(new_k_vdist, &\n left_rdist%i%col_decimation, new_k_pdist, new_k_idist)\n ! Left\n CALL dbcsr_distribution_new(dense_left_dist, left_rdist%i%main%d%mp_env, &\n new_m_dist, new_k_pdist)\n CALL dbcsr_distribution_no_threads(dense_left_dist)\n dense_left_dist%d%thread_dist = dbcsr_distribution_thread_dist(dense_product_dist)\n CALL array_hold(dense_left_dist%d%thread_dist)\n dense_left_dist%d%has_thread_dist = .TRUE.\n CALL dbcsr_new_image_dist(dense_left_rdist, dense_left_dist, left_rdist)\n CALL dbcsr_distribution_release(dense_left_dist)\n CALL array_new(dense_left_rdist%i%row_image, &\n (/(1, i=1, array_size(new_m_dist))/), lb=1)\n dense_left_rdist%i%col_image = new_k_idist\n CALL array_hold(new_k_idist)\n dense_left_rdist%i%vrow_dist = new_m_dist\n CALL array_hold(new_m_dist)\n dense_left_rdist%i%vcol_dist = new_k_vdist\n CALL array_hold(new_k_vdist)\n !\n CALL array_release(new_k_pdist)\n CALL array_release(new_k_idist)\n ! Right\n CALL v_to_p_i_dist_o(new_k_vdist, &\n right_rdist%i%row_decimation, new_k_pdist, new_k_idist)\n CALL dbcsr_distribution_new(dense_right_dist, right_rdist%i%main%d%mp_env, &\n new_k_pdist, new_n_dist)\n CALL dbcsr_new_image_dist(dense_right_rdist, dense_right_dist, right_rdist)\n CALL dbcsr_distribution_release(dense_right_dist)\n CALL array_new(dense_right_rdist%i%col_image, &\n (/(1, i=1, array_size(new_n_dist))/), lb=1)\n dense_right_rdist%i%row_image = new_k_idist\n CALL array_hold(new_k_idist)\n dense_right_rdist%i%vrow_dist = new_k_vdist\n CALL array_hold(new_k_vdist)\n dense_right_rdist%i%vcol_dist = new_n_dist\n CALL array_hold(new_n_dist)\n !\n CALL array_release(new_k_idist)\n CALL array_release(new_k_pdist)\n CALL array_release(new_m_dist)\n CALL array_release(new_n_dist)\n CALL array_release(new_k_vdist)\n !\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_make_dists_dense\n\n SUBROUTINE dbcsr_reset_locals(matrix)\n !! Resets local rows, columns to the correct arrays and values.\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n TYPE(dbcsr_distribution_obj) :: dist\n\n! ---------------------------------------------------------------------------\n\n dist = dbcsr_distribution(matrix)\n CALL dbcsr_release_locals(matrix)\n ! Rows\n IF (dbg) &\n WRITE (*, *) \"reset local rows for \", TRIM(matrix%name), &\n matrix%nblkrows_local, \"prow\", matrix%index(dbcsr_slot_home_prow), &\n dbcsr_mp_myprow(dbcsr_distribution_mp(matrix%dist))\n CALL dbcsr_get_local_rows(dist, matrix%local_rows, &\n matrix%index(dbcsr_slot_home_prow))\n CALL array_hold(matrix%local_rows)\n IF (dbg) WRITE (*, *) \"local rows\", matrix%local_rows%low%data\n matrix%nblkrows_local = array_size(matrix%local_rows)\n CALL dbcsr_get_global_row_map(dist, matrix%global_rows)\n CALL array_hold(matrix%global_rows)\n matrix%has_local_rows = .TRUE.\n matrix%has_global_rows = .TRUE.\n ! Columns\n IF (dbg) &\n WRITE (*, *) \"reset local cols for \", TRIM(matrix%name), &\n matrix%nblkcols_local, \"pcol\", matrix%index(dbcsr_slot_home_pcol), &\n dbcsr_mp_mypcol(dbcsr_distribution_mp(matrix%dist))\n CALL dbcsr_get_local_cols(dist, matrix%local_cols, &\n matrix%index(dbcsr_slot_home_pcol))\n CALL array_hold(matrix%local_cols)\n IF (dbg) WRITE (*, *) \"local cols\", matrix%local_cols%low%data\n matrix%nblkcols_local = array_size(matrix%local_cols)\n CALL dbcsr_get_global_col_map(dist, matrix%global_cols)\n CALL array_hold(matrix%global_cols)\n matrix%has_local_cols = .TRUE.\n matrix%has_global_cols = .TRUE.\n !\n END SUBROUTINE dbcsr_reset_locals\n\n SUBROUTINE dbcsr_reset_vlocals(matrix, imgdist, do_rows)\n !! Resets local rows, columns to the correct arrays and values\n !! for images.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n LOGICAL, INTENT(IN), OPTIONAL :: do_rows\n\n LOGICAL :: my_do_rows\n\n! ---------------------------------------------------------------------------\n\n CALL dbcsr_release_locals(matrix)\n my_do_rows = .TRUE.\n IF (PRESENT(do_rows)) my_do_rows = do_rows\n ! Rows\n IF (.NOT. PRESENT(do_rows) .OR. my_do_rows) THEN\n CALL dbcsr_get_local_vrows(imgdist, matrix%local_rows, &\n matrix%index(dbcsr_slot_home_vprow))\n ELSE\n matrix%local_rows = imgdist%i%main%d%local_rows\n END IF\n CALL array_hold(matrix%local_rows)\n matrix%has_local_rows = .TRUE.\n matrix%nblkrows_local = array_size(matrix%local_rows)\n matrix%index(dbcsr_slot_nblkrows_local) = array_size(matrix%local_rows)\n CALL dbcsr_get_global_vrow_map(imgdist, matrix%global_rows)\n CALL array_hold(matrix%global_rows)\n matrix%has_global_rows = .TRUE.\n ! Columns\n IF (.NOT. PRESENT(do_rows) .OR. .NOT. my_do_rows) THEN\n CALL dbcsr_get_local_vcols(imgdist, matrix%local_cols, &\n matrix%index(dbcsr_slot_home_vpcol))\n ELSE\n matrix%local_cols = imgdist%i%main%d%local_cols\n END IF\n CALL array_hold(matrix%local_cols)\n matrix%has_local_cols = .TRUE.\n matrix%nblkcols_local = array_size(matrix%local_cols)\n matrix%index(dbcsr_slot_nblkcols_local) = array_size(matrix%local_cols)\n CALL dbcsr_get_global_vcol_map(imgdist, matrix%global_cols)\n CALL array_hold(matrix%global_cols)\n matrix%has_global_cols = .TRUE.\n END SUBROUTINE dbcsr_reset_vlocals\n\n SUBROUTINE dbcsr_get_local_vrows(imgdist, local_vrows, local_vprow)\n !! Determines mapping from local to global virtual process rows\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n !! image distribution\n TYPE(array_i1d_obj), INTENT(OUT) :: local_vrows\n !! local rows\n INTEGER, INTENT(IN) :: local_vprow\n !! the local virtual process row\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_local_vrows'\n\n INTEGER :: el, error_handle, nvprows, vprow\n INTEGER, ALLOCATABLE, DIMENSION(:) :: itmp, nle\n INTEGER, DIMENSION(:), POINTER :: vrow_dist\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n ! If the current local row mappings do not exist, create them.\n IF (.NOT. imgdist%i%has_other_vl_rows) THEN\n imgdist%i%has_other_vl_rows = .TRUE.\n nvprows = dbcsr_mp_nprows(dbcsr_distribution_mp(imgdist%i%main)) &\n *imgdist%i%row_decimation\n ALLOCATE (imgdist%i%other_vl_rows(0:nvprows - 1))\n ALLOCATE (nle(0:nvprows - 1))\n vrow_dist => array_data(imgdist%i%vrow_dist)\n ! Count the number of local elements per row.\n nle(:) = 0\n DO el = 1, SIZE(vrow_dist)\n vprow = vrow_dist(el)\n nle(vprow) = nle(vprow) + 1\n END DO\n DO vprow = 0, nvprows - 1\n ALLOCATE (itmp(nle(vprow)))\n itmp = 0\n CALL array_new(imgdist%i%other_vl_rows(vprow), &\n itmp, lb=1)\n DEALLOCATE (itmp)\n END DO\n DEALLOCATE (nle)\n CALL find_all_local_elements(imgdist%i%other_vl_rows, vrow_dist, nvprows)\n ELSE\n IF (careful_mod .AND. .NOT. ASSOCIATED(imgdist%i%other_vl_rows)) &\n DBCSR_ABORT(\"Local rows mapping does not exist.\")\n END IF\n local_vrows = imgdist%i%other_vl_rows(local_vprow)\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE dbcsr_get_local_vrows\n\n SUBROUTINE dbcsr_get_local_vcols(imgdist, local_vcols, local_vpcol)\n !! Determines mapping from local to global virtual process columns\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n !! image distribution\n TYPE(array_i1d_obj), INTENT(OUT) :: local_vcols\n !! local columns\n INTEGER, INTENT(IN) :: local_vpcol\n !! the local virtual process column\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_local_vcols'\n\n INTEGER :: el, error_handle, nvpcols, vpcol\n INTEGER, ALLOCATABLE, DIMENSION(:) :: nle\n INTEGER, DIMENSION(:), POINTER :: itmp, vcol_dist\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n ! If the current local col mappings do not exist, create them.\n IF (.NOT. imgdist%i%has_other_vl_cols) THEN\n imgdist%i%has_other_vl_cols = .TRUE.\n nvpcols = dbcsr_mp_npcols(dbcsr_distribution_mp(imgdist%i%main)) &\n *imgdist%i%col_decimation\n ALLOCATE (imgdist%i%other_vl_cols(0:nvpcols - 1))\n ALLOCATE (nle(0:nvpcols - 1))\n vcol_dist => array_data(imgdist%i%vcol_dist)\n ! Count the number of local elements per col.\n nle(:) = 0\n DO el = 1, SIZE(vcol_dist)\n vpcol = vcol_dist(el)\n nle(vpcol) = nle(vpcol) + 1\n END DO\n DO vpcol = 0, nvpcols - 1\n ALLOCATE (itmp(nle(vpcol)))\n itmp = 0\n CALL array_new(imgdist%i%other_vl_cols(vpcol), &\n itmp, lb=1)\n DEALLOCATE (itmp)\n END DO\n DEALLOCATE (nle)\n CALL find_all_local_elements(imgdist%i%other_vl_cols, vcol_dist, nvpcols)\n ELSE\n IF (careful_mod .AND. .NOT. ASSOCIATED(imgdist%i%other_vl_cols)) &\n DBCSR_ABORT(\"Local cols mapping does not exist.\")\n END IF\n local_vcols = imgdist%i%other_vl_cols(local_vpcol)\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE dbcsr_get_local_vcols\n\n SUBROUTINE image_calculator(image_dist, &\n prow, rowi, pcol, coli, vprow, vpcol, &\n myprow, mypcol, myrowi, mycoli, myvprow, myvpcol, &\n vprow_shift, vpcol_shift, &\n shifting)\n !! Transform between virtual process rows/columns and actual process rows/columns and images therein.\n !!\n !! Shifting\n !! (L)eft and (R)ight shifting are \"shifts from\", (l)eft and (r)ight\n !! are \"shifts to\". A caller (or the my* specifications) would use\n !! L/R to see which data he has (i.e., from where his data was\n !! shifted). To see where the caller's data goes to, use l/r.\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(IN) :: image_dist\n INTEGER, INTENT(OUT), OPTIONAL :: prow, rowi, pcol, coli, vprow, vpcol\n INTEGER, INTENT(IN), OPTIONAL :: myprow, mypcol, myrowi, mycoli, myvprow, &\n myvpcol, vprow_shift, vpcol_shift\n CHARACTER, INTENT(IN), OPTIONAL :: shifting\n\n INTEGER :: col_mult, my_pcol, my_prow, ncol_images, &\n npcols, nprows, nrow_images, nvpcols, &\n nvprows, row_mult, vcol, vrow\n TYPE(dbcsr_mp_obj) :: mp\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod .AND. .NOT. PRESENT(myvprow) .AND. .NOT. PRESENT(mycoli)) THEN\n CALL dbcsr_abort(__LOCATION__, &\n \"Must specify either (process row and row image) or (virtual process row)\")\n END IF\n IF (careful_mod .AND. .NOT. PRESENT(myvpcol) .AND. .NOT. PRESENT(mycoli)) THEN\n CALL dbcsr_abort(__LOCATION__, &\n \"Must specify either (process col and col image) or (virtual process col)\")\n END IF\n !\n mp = image_dist%i%main%d%mp_env\n nprows = SIZE(mp%mp%pgrid, 1)\n npcols = SIZE(mp%mp%pgrid, 2)\n nrow_images = image_dist%i%row_decimation\n ncol_images = image_dist%i%col_decimation\n row_mult = image_dist%i%row_multiplicity\n col_mult = image_dist%i%col_multiplicity\n nvprows = nprows*nrow_images\n nvpcols = npcols*ncol_images\n !\n IF (PRESENT(myprow)) THEN\n my_prow = myprow\n ELSE\n my_prow = mp%mp%myprow\n END IF\n IF (PRESENT(mypcol)) THEN\n my_pcol = mypcol\n ELSE\n my_pcol = mp%mp%mypcol\n END IF\n !\n IF (.NOT. PRESENT(myvprow)) THEN\n vrow = my_prow*nrow_images + myrowi - 1\n ELSE\n vrow = myvprow\n END IF\n IF (.NOT. PRESENT(myvpcol)) THEN\n vcol = my_pcol*ncol_images + mycoli - 1\n ELSE\n vcol = myvpcol\n END IF\n !\n IF (PRESENT(vprow_shift)) vrow = vrow + vprow_shift\n IF (PRESENT(vpcol_shift)) vcol = vcol + vpcol_shift\n IF (PRESENT(shifting)) THEN\n SELECT CASE (shifting)\n CASE ('R')\n vrow = vrow + my_pcol*row_mult\n CASE ('L')\n vcol = vcol + my_prow*col_mult\n CASE ('r')\n vrow = vrow - my_pcol*row_mult\n CASE ('l')\n vcol = vcol - my_prow*col_mult\n END SELECT\n END IF\n vrow = MODULO(vrow, nvprows)\n vcol = MODULO(vcol, nvpcols)\n IF (PRESENT(prow)) prow = vrow/nrow_images\n IF (PRESENT(rowi)) rowi = MODULO(vrow, nrow_images) + 1\n IF (PRESENT(pcol)) pcol = vcol/ncol_images\n IF (PRESENT(coli)) coli = MODULO(vcol, ncol_images) + 1\n IF (PRESENT(vprow)) vprow = vrow\n IF (PRESENT(vpcol)) vpcol = vcol\n END SUBROUTINE image_calculator\n\n SUBROUTINE make_sizes_dense(old_sizes, mapping, nel_new, new_sizes)\n !! Matches row/block sizes and offsets to a given distribution\n !! @note\n !! Used for making matrices dense/undense\n !! @endnote\n\n TYPE(array_i1d_obj), INTENT(IN) :: old_sizes, mapping\n INTEGER, INTENT(IN) :: nel_new\n TYPE(array_i1d_obj), INTENT(OUT) :: new_sizes\n\n INTEGER :: el, nel_old\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: map, new_s, old_s\n\n! ---------------------------------------------------------------------------\n\n map => array_data(mapping)\n old_s => array_data(old_sizes)\n nel_old = array_size(old_sizes)\n ALLOCATE (new_s(nel_new))\n new_s(:) = 0\n DO el = 1, nel_old\n new_s(map(el)) = new_s(map(el)) + old_s(el)\n END DO\n CALL array_new(new_sizes, new_s, gift=.TRUE.)\n END SUBROUTINE make_sizes_dense\n\n SUBROUTINE dbcsr_make_1dist_dense(nbins, old_dist, dense_dist, dist_map, nsubdist, subdist)\n !! Makes a 1-D distribution dense.\n\n INTEGER, INTENT(IN) :: nbins\n !! Number of bins in the main distribution\n TYPE(array_i1d_obj), INTENT(IN) :: old_dist\n !! Current distribution\n TYPE(array_i1d_obj), INTENT(OUT) :: dense_dist, dist_map\n !! Dense distribution\n !! Map from current to dense distribution\n INTEGER, INTENT(IN) :: nsubdist\n !! Number of bins in the subdistribution\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: subdist\n !! Subdistribution\n\n INTEGER :: b, i, n_new_bins\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: dense, map, old_d\n\n! ---------------------------------------------------------------------------\n\n IF (nsubdist .EQ. 0) THEN\n n_new_bins = nbins\n ELSE\n n_new_bins = nbins*nsubdist\n END IF\n old_d => array_data(old_dist)\n ALLOCATE (dense(n_new_bins))\n ALLOCATE (map(array_size(old_dist)))\n !\n IF (nsubdist .EQ. 0) THEN\n dense(:) = (/(b, b=0, n_new_bins - 1)/)\n map(:) = old_d(:) + 1\n ELSE\n DO i = 1, nbins\n dense((i - 1)*nsubdist + 1:(i)*nsubdist) = i - 1\n END DO\n map(:) = old_d(:)*nsubdist + subdist(:) + 1\n END IF\n !\n CALL array_new(dense_dist, dense, gift=.TRUE.)\n CALL array_new(dist_map, map, gift=.TRUE.)\n END SUBROUTINE dbcsr_make_1dist_dense\n\n pure SUBROUTINE v_to_p_i_dist(nel, vdist, nim, pdist, idist)\n !! Converts virtual 1-D distribution to process and image\n INTEGER, INTENT(in) :: nel\n INTEGER, DIMENSION(1:nel), INTENT(in) :: vdist\n INTEGER, INTENT(in) :: nim\n INTEGER, DIMENSION(1:nel), INTENT(out) :: pdist, idist\n\n INTEGER :: i\n\n DO i = 1, nel\n pdist(i) = vdist(i)/nim\n idist(i) = MOD(vdist(i), nim) + 1\n END DO\n END SUBROUTINE v_to_p_i_dist\n\n SUBROUTINE v_to_p_i_dist_o(vdist, nim, pdist, idist)\n TYPE(array_i1d_obj), INTENT(in) :: vdist\n INTEGER, INTENT(in) :: nim\n TYPE(array_i1d_obj), INTENT(out) :: pdist, idist\n\n INTEGER :: nel\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: id, pd, vd\n\n nel = array_size(vdist)\n vd => array_data(vdist)\n ALLOCATE (pd(nel), id(nel))\n CALL v_to_p_i_dist(nel, vd, nim, pd, id)\n CALL array_new(pdist, pd, gift=.TRUE.)\n CALL array_new(idist, id, gift=.TRUE.)\n END SUBROUTINE v_to_p_i_dist_o\n\n SUBROUTINE dbcsr_get_global_row_map(dist, row_map)\n !! Determines mapping from global to local rows\n\n TYPE(dbcsr_distribution_obj), INTENT(INOUT) :: dist\n !! mapping for this distribution\n TYPE(array_i1d_obj), INTENT(OUT) :: row_map\n !! mapping to local rows\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_global_row_map'\n\n INTEGER :: error_handle, nprows\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: rmap, row_dist\n\n CALL timeset(routineN, error_handle)\n ! If the current local row mappings do not exist, create them.\n IF (.NOT. dist%d%has_global_row_map) THEN\n row_dist => dbcsr_distribution_row_dist(dist)\n ALLOCATE (rmap(SIZE(row_dist)))\n nprows = dbcsr_mp_nprows(dbcsr_distribution_mp(dist))\n CALL map_all_local_elements(rmap, row_dist, nprows)\n CALL array_new(dist%d%global_row_map, rmap, gift=.TRUE.)\n dist%d%has_global_row_map = .TRUE.\n ELSE\n IF (careful_mod .AND. .NOT. array_exists(dist%d%global_row_map)) &\n DBCSR_ABORT(\"Row map does not exist.\")\n END IF\n row_map = dist%d%global_row_map\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_get_global_row_map\n\n SUBROUTINE dbcsr_get_global_col_map(dist, col_map)\n !! Determines mapping from global to local columns\n\n TYPE(dbcsr_distribution_obj), INTENT(INOUT) :: dist\n !! mapping for this distribution\n TYPE(array_i1d_obj), INTENT(OUT) :: col_map\n !! mapping to local columns\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_global_col_map'\n\n INTEGER :: error_handle, npcols\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: cmap, col_dist\n\n CALL timeset(routineN, error_handle)\n ! If the current local col mappings do not exist, create them.\n IF (.NOT. dist%d%has_global_col_map) THEN\n col_dist => dbcsr_distribution_col_dist(dist)\n ALLOCATE (cmap(SIZE(col_dist)))\n npcols = dbcsr_mp_npcols(dbcsr_distribution_mp(dist))\n CALL map_all_local_elements(cmap, col_dist, npcols)\n CALL array_new(dist%d%global_col_map, cmap, gift=.TRUE.)\n dist%d%has_global_col_map = .TRUE.\n ELSE\n IF (careful_mod .AND. .NOT. array_exists(dist%d%global_col_map)) &\n DBCSR_ABORT(\"Column map does not exist.\")\n END IF\n col_map = dist%d%global_col_map\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_get_global_col_map\n\n SUBROUTINE dbcsr_get_global_vrow_map(imgdist, vrow_map)\n !! Determines mapping from global to virtual local rows\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n !! mapping for this image distribution\n TYPE(array_i1d_obj), INTENT(OUT) :: vrow_map\n !! mapping to local rows\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_global_vrow_map'\n\n INTEGER :: error_handle, nvprows\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: rmap, vrow_dist\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n ! If the current local row mappings do not exist, create them.\n IF (.NOT. imgdist%i%has_global_vrow_map) THEN\n vrow_dist => array_data(imgdist%i%vrow_dist)\n ALLOCATE (rmap(SIZE(vrow_dist)))\n nvprows = dbcsr_mp_nprows(dbcsr_distribution_mp(imgdist%i%main)) &\n *imgdist%i%row_decimation\n CALL map_all_local_elements(rmap, vrow_dist, nvprows)\n CALL array_new(imgdist%i%global_vrow_map, rmap, gift=.TRUE.)\n imgdist%i%has_global_vrow_map = .TRUE.\n ELSE\n IF (careful_mod .AND. .NOT. array_exists(imgdist%i%global_vrow_map)) &\n DBCSR_ABORT(\"Row map does not exist.\")\n END IF\n vrow_map = imgdist%i%global_vrow_map\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE dbcsr_get_global_vrow_map\n\n SUBROUTINE dbcsr_get_global_vcol_map(imgdist, vcol_map)\n !! Determines mapping from global to virtual local columns\n\n TYPE(dbcsr_imagedistribution_obj), INTENT(INOUT) :: imgdist\n !! mapping for this image distribution\n TYPE(array_i1d_obj), INTENT(OUT) :: vcol_map\n !! mapping to local columns\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_global_vcol_map'\n\n INTEGER :: error_handle, nvpcols\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: rmap, vcol_dist\n\n IF (careful_mod) CALL timeset(routineN, error_handle)\n ! If the current local col mappings do not exist, create them.\n IF (.NOT. imgdist%i%has_global_vcol_map) THEN\n vcol_dist => array_data(imgdist%i%vcol_dist)\n ALLOCATE (rmap(SIZE(vcol_dist)))\n nvpcols = dbcsr_mp_npcols(dbcsr_distribution_mp(imgdist%i%main)) &\n *imgdist%i%col_decimation\n CALL map_all_local_elements(rmap, vcol_dist, nvpcols)\n CALL array_new(imgdist%i%global_vcol_map, rmap, gift=.TRUE.)\n imgdist%i%has_global_vcol_map = .TRUE.\n ELSE\n IF (careful_mod .AND. .NOT. array_exists(imgdist%i%global_vcol_map)) &\n DBCSR_ABORT(\"Col map does not exist.\")\n END IF\n vcol_map = imgdist%i%global_vcol_map\n IF (careful_mod) CALL timestop(error_handle)\n END SUBROUTINE dbcsr_get_global_vcol_map\n\n PURE SUBROUTINE map_all_local_elements(global_elements, &\n bin_distribution, nbins)\n !! Points to local virtual elements.\n !! All elements are mapped at once. Therefore an entry in the\n !! resulting array can be used as a lookup index for any of the local\n !! element arrays. The distribution itself tells into which array to\n !! look.\n\n INTEGER, DIMENSION(:), INTENT(OUT) :: global_elements\n !! enumerated local elements\n INTEGER, DIMENSION(:), INTENT(IN) :: bin_distribution\n !! distribution of elements to bins\n INTEGER, INTENT(IN) :: nbins\n !! number of bins\n\n INTEGER :: bin, el\n INTEGER, DIMENSION(0:nbins - 1) :: nlve\n\n nlve(:) = 0\n DO el = 1, SIZE(bin_distribution)\n bin = bin_distribution(el)\n nlve(bin) = nlve(bin) + 1\n global_elements(el) = nlve(bin)\n END DO\n END SUBROUTINE map_all_local_elements\n\n SUBROUTINE reimage_distribution(images, my_bins, &\n nbins, nimages)\n !! Makes new distribution with decimation and multiplicity\n !! Multiplicity is being ignored, maybe this is a bug\n !!\n !! Definition of multiplicity and nimages\n !! Multiplicity and decimation (number of images) are used to\n !! match process grid coordinates on non-square process\n !! grids. Given source_nbins and target_nbins, their relation is\n !! source_nbins * target_multiplicity\n !! = target_nbins * target_nimages.\n !! It is best when both multiplicity and nimages are small. To\n !! get these two factors, then, one can use the following formulas:\n !! nimages = lcm(source_nbins, target_nbins) / target_nbins\n !! multiplicity = target_nbins / gcd(source_nbins, target_nbins)\n !! from the target's point of view (nimages = target_nimages).\n !!\n !! Mapping\n !! The new distribution comprises of real bins and images within\n !! bins. These can be view as target_nbins*nimages virtual\n !! columns. These same virtual columns are also\n !! source_nbins*multiplicity in number. Therefore these virtual\n !! columns are mapped from source_nbins*multiplicity onto\n !! target_bins*nimages (each target bin has nimages images):\n !! Source 4: |1 2 3|4 5 6|7 8 9|A B C| (4*3)\n !! Target 6: |1 2|3 4|5 6|7 8|9 A|B C| (6*2)\n !! multiplicity=3, nimages=2, 12 virtual columns (1-C).\n !! Source bin elements are evenly mapped into one of multiplicity\n !! virtual columns. Other (non-even, block-size aware) mappings\n !! could be better.\n\n INTEGER, DIMENSION(:), INTENT(OUT) :: images\n !! new image distribution\n INTEGER, DIMENSION(:), INTENT(IN) :: my_bins\n !! Basis for the new images\n INTEGER, INTENT(IN) :: nbins, nimages\n !! number of bins in the new real distribution\n !! number of images in the new distribution\n\n INTEGER :: bin, i\n INTEGER, ALLOCATABLE, DIMENSION(:) :: bin_multiplier\n\n! ---------------------------------------------------------------------------\n\n ALLOCATE (bin_multiplier(0:nbins - 1))\n bin_multiplier(:) = 0\n DO i = 1, SIZE(my_bins)\n bin = my_bins(i)\n images(i) = 1 + bin_multiplier(bin)\n bin_multiplier(bin) = bin_multiplier(bin) + 1\n IF (bin_multiplier(bin) .GE. nimages) THEN\n bin_multiplier(bin) = 0\n END IF\n END DO\n END SUBROUTINE reimage_distribution\n\n PURE SUBROUTINE make_vdistribution(nelements, vbins, bins, decimation, images)\n !! Makes new virtual distribution of rows/columns.\n\n INTEGER, INTENT(IN) :: nelements\n !! number of elements\n INTEGER, DIMENSION(nelements), INTENT(OUT) :: vbins\n !! virtual bins\n INTEGER, DIMENSION(nelements), INTENT(IN) :: bins\n !! bins to which elements belong\n INTEGER, INTENT(IN) :: decimation\n !! matching between bins\n INTEGER, DIMENSION(nelements), INTENT(IN) :: images\n !! images to which element belong\n\n INTEGER :: el\n\n! ---------------------------------------------------------------------------\n\n DO el = 1, nelements\n vbins(el) = bins(el)*decimation + images(el) - 1\n END DO\n END SUBROUTINE make_vdistribution\n\n SUBROUTINE rebin_imaged_distribution(new_bins, images, &\n source_bins, source_images, nbins, multiplicity, nimages)\n !! Makes new distribution with multiplicity\n !!\n !! Definition of multiplicity and nimages\n !! Multiplicity and number of images are used to match process\n !! grid coordinates on non-square process grids. Given\n !! source_nbins and target_nbins, their relation is\n !! source_nbins * multiplicity = target_nbins * nimages.\n !! It is best when both multiplicity and nimages are small. To\n !! get these two factors, then, one can use the following formulas:\n !! nimages = lcm(source_nbins, target_nbins) / target_nbins\n !! multiplicity = target_nbins / gcd(source_nbins, target_nbins)\n !!\n !! Mapping\n !! The new distribution comprises of real bins and images within\n !! bins. These can be view as target_nbins*nimages virtual\n !! columns. These same virtual columns are also\n !! source_nbins*multiplicity in number. Therefore these virtual\n !! columns are mapped from source_nbins*multiplicity onto\n !! target_bins*nimages (each target bin has nimages images):\n !! Source 4: |1 2 3|4 5 6|7 8 9|A B C| (4*3)\n !! Target 6: |1 2|3 4|5 6|7 8|9 A|B C| (6*2)\n !! multiplicity=3, nimages=2, 12 virtual columns (1-C).\n !! Source bin elements are evenly mapped into one of multiplicity\n !! virtual columns. Other (non-even, block-size aware) mappings\n !! could be better.\n\n INTEGER, DIMENSION(:), INTENT(OUT) :: new_bins, images\n !! new real distribution\n !! new image distribution\n INTEGER, DIMENSION(:), INTENT(IN) :: source_bins, source_images\n !! Basis for the new distribution and images\n !! Basis for the new distribution and images\n INTEGER, INTENT(IN) :: nbins, multiplicity, nimages\n !! number of bins in the new real distribution\n !! multiplicity\n !! number of images in the new distribution\n\n INTEGER :: i, virtual_bin\n\n! ---------------------------------------------------------------------------\n\n DO i = 1, SIZE(new_bins)\n IF (i .LE. SIZE(source_bins)) THEN\n virtual_bin = source_bins(i)*multiplicity + source_images(i) - 1\n ELSE\n ! Fill remainder with a cyclic distribution\n virtual_bin = MOD(i, nbins*nimages)\n END IF\n new_bins(i) = virtual_bin/nimages\n images(i) = 1 + MOD(virtual_bin, nimages)\n IF (new_bins(i) .GE. nbins) &\n DBCSR_ABORT(\"Wrong bin calculation\")\n IF (images(i) .GT. nimages) &\n DBCSR_ABORT(\"Wrong image calculation\")\n END DO\n END SUBROUTINE rebin_imaged_distribution\n\nEND MODULE dbcsr_mm_dist_operations\n" }, { "path": "src/mm/dbcsr_mm_hostdrv.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_hostdrv\n !! Stacks of small matrix multiplications\n USE dbcsr_config, ONLY: dbcsr_cfg, &\n use_acc, &\n mm_driver_blas, &\n mm_driver_matmul, &\n mm_driver_smm, &\n mm_driver_xsmm\n USE dbcsr_data_methods, ONLY: dbcsr_data_get_size\n USE dbcsr_mm_types, ONLY: dbcsr_ps_width, &\n p_a_first, &\n p_b_first, &\n p_c_first, &\n p_k, &\n p_m, &\n p_n, &\n stack_descriptor_type\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_type, &\n dbcsr_type_complex_4, &\n dbcsr_type_complex_8, &\n dbcsr_type_real_4, &\n dbcsr_type_real_8, &\n dbcsr_work_type\n USE dbcsr_kinds, ONLY: dp, &\n int_8, &\n real_4, &\n real_8, &\n sp\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_hostdrv'\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: int_print = \"(10(1X,I7))\"\n\n PUBLIC :: dbcsr_mm_hostdrv_lib_init, dbcsr_mm_hostdrv_lib_finalize\n PUBLIC :: dbcsr_mm_hostdrv_process\n PUBLIC :: dbcsr_mm_hostdrv_type\n PUBLIC :: dbcsr_mm_hostdrv_init\n\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n TYPE dbcsr_mm_hostdrv_type\n TYPE(dbcsr_data_obj) :: data_area = dbcsr_data_obj()\n END TYPE dbcsr_mm_hostdrv_type\n\nCONTAINS\n\n SUBROUTINE dbcsr_mm_hostdrv_lib_init()\n !! Initialize the library\n END SUBROUTINE dbcsr_mm_hostdrv_lib_init\n\n SUBROUTINE dbcsr_mm_hostdrv_lib_finalize()\n !! Finalize the library\n END SUBROUTINE dbcsr_mm_hostdrv_lib_finalize\n\n SUBROUTINE dbcsr_mm_hostdrv_init(this, product_wm)\n !! Initialize the library\n TYPE(dbcsr_mm_hostdrv_type), INTENT(INOUT) :: this\n TYPE(dbcsr_work_type), POINTER :: product_wm\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_hostdrv_init'\n\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n this%data_area = product_wm%data_area\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_mm_hostdrv_init\n\n SUBROUTINE dbcsr_mm_hostdrv_process(this, left, right, params, stack_size, &\n stack_descr, success, used_smm)\n !! Calls the various drivers that process the stack.\n\n TYPE(dbcsr_mm_hostdrv_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n !! Left-matrix data\n !! Right-matrix data\n INTEGER, INTENT(IN) :: stack_size\n INTEGER, DIMENSION(1:dbcsr_ps_width, stack_size), &\n INTENT(INOUT) :: params\n !! Stack of GEMM parameters\n TYPE(stack_descriptor_type), INTENT(IN) :: stack_descr\n LOGICAL, INTENT(OUT) :: success, used_smm\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_hostdrv_process'\n LOGICAL, PARAMETER :: careful = careful_mod, dbg = debug_mod\n\n INTEGER :: error_handle, sp\n REAL(KIND=dp) :: rnd\n\n IF (use_acc()) & !for cpu-only runs this is called too often\n CALL timeset(routineN, error_handle)\n\n success = .TRUE. !host driver never fails...hopefully\n used_smm = .FALSE.\n\n IF (dbg) THEN\n CALL RANDOM_NUMBER(rnd)\n IF (rnd < 0.01_dp) THEN\n WRITE (*, *) routineN//\" Stack size\", stack_size, dbcsr_ps_width\n CALL print_gemm_parameters(params(:, 1:stack_size))\n END IF\n END IF\n\n ! Verify stack consistency. Only the upper bound is verified.\n IF (careful) THEN\n DO sp = 1, stack_size\n IF (params(p_a_first, sp) + params(p_m, sp)*params(p_k, sp) - 1 > dbcsr_data_get_size(left%data_area)) &\n DBCSR_ABORT(\"A data out of bounds.\")\n IF (params(p_b_first, sp) + params(p_k, sp)*params(p_n, sp) - 1 > dbcsr_data_get_size(right%data_area)) &\n DBCSR_ABORT(\"B data out of bounds.\")\n IF (params(p_c_first, sp) + params(p_m, sp)*params(p_n, sp) - 1 > dbcsr_data_get_size(this%data_area)) &\n DBCSR_ABORT(\"C data out of bounds.\")\n END DO\n END IF\n\n SELECT CASE (dbcsr_cfg%mm_driver%val)\n CASE (mm_driver_matmul)\n SELECT CASE (this%data_area%d%data_type)\n CASE (dbcsr_type_real_4)\n CALL internal_process_mm_stack_s(params, &\n stack_size, &\n left%data_area%d%r_sp, right%data_area%d%r_sp, this%data_area%d%r_sp)\n CASE (dbcsr_type_real_8)\n CALL internal_process_mm_stack_d(params, &\n stack_size, &\n left%data_area%d%r_dp, right%data_area%d%r_dp, this%data_area%d%r_dp)\n CASE (dbcsr_type_complex_4)\n CALL internal_process_mm_stack_c(params, &\n stack_size, &\n left%data_area%d%c_sp, right%data_area%d%c_sp, this%data_area%d%c_sp)\n CASE (dbcsr_type_complex_8)\n CALL internal_process_mm_stack_z(params, &\n stack_size, &\n left%data_area%d%c_dp, right%data_area%d%c_dp, this%data_area%d%c_dp)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CASE (mm_driver_smm)\n SELECT CASE (this%data_area%d%data_type)\n CASE (dbcsr_type_real_4)\n CALL smm_process_mm_stack_s(stack_descr, params, &\n stack_size, &\n left%data_area%d%r_sp, right%data_area%d%r_sp, this%data_area%d%r_sp, used_smm)\n CASE (dbcsr_type_real_8)\n CALL smm_process_mm_stack_d(stack_descr, params, &\n stack_size, &\n left%data_area%d%r_dp, right%data_area%d%r_dp, this%data_area%d%r_dp, used_smm)\n CASE (dbcsr_type_complex_4)\n CALL smm_process_mm_stack_c(stack_descr, params, &\n stack_size, &\n left%data_area%d%c_sp, right%data_area%d%c_sp, this%data_area%d%c_sp, used_smm)\n CASE (dbcsr_type_complex_8)\n CALL smm_process_mm_stack_z(stack_descr, params, &\n stack_size, &\n left%data_area%d%c_dp, right%data_area%d%c_dp, this%data_area%d%c_dp, used_smm)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n#if defined(__LIBXSMM)\n CASE (mm_driver_xsmm)\n SELECT CASE (this%data_area%d%data_type)\n#if TO_VERSION(1, 10) < TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n CASE (dbcsr_type_real_4)\n CALL xsmm_process_mm_batch_s(stack_descr, params, stack_size, &\n left%data_area%d%r_sp, right%data_area%d%r_sp, this%data_area%d%r_sp, used_smm)\n CASE (dbcsr_type_real_8)\n CALL xsmm_process_mm_batch_d(stack_descr, params, stack_size, &\n left%data_area%d%r_dp, right%data_area%d%r_dp, this%data_area%d%r_dp, used_smm)\n CASE (dbcsr_type_complex_4)\n CALL xsmm_process_mm_batch_c(stack_descr, params, stack_size, &\n left%data_area%d%c_sp, right%data_area%d%c_sp, this%data_area%d%c_sp, used_smm)\n CASE (dbcsr_type_complex_8)\n CALL xsmm_process_mm_batch_z(stack_descr, params, stack_size, &\n left%data_area%d%c_dp, right%data_area%d%c_dp, this%data_area%d%c_dp, used_smm)\n#else\n CASE (dbcsr_type_real_4)\n CALL xsmm_process_mm_stack_s(stack_descr, params, stack_size, &\n left%data_area%d%r_sp, right%data_area%d%r_sp, this%data_area%d%r_sp, used_smm)\n CASE (dbcsr_type_real_8)\n CALL xsmm_process_mm_stack_d(stack_descr, params, stack_size, &\n left%data_area%d%r_dp, right%data_area%d%r_dp, this%data_area%d%r_dp, used_smm)\n CASE (dbcsr_type_complex_4)\n CALL xsmm_process_mm_stack_c(stack_descr, params, stack_size, &\n left%data_area%d%c_sp, right%data_area%d%c_sp, this%data_area%d%c_sp, used_smm)\n CASE (dbcsr_type_complex_8)\n CALL xsmm_process_mm_stack_z(stack_descr, params, stack_size, &\n left%data_area%d%c_dp, right%data_area%d%c_dp, this%data_area%d%c_dp, used_smm)\n#endif\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n#endif\n CASE (mm_driver_blas)\n SELECT CASE (this%data_area%d%data_type)\n CASE (dbcsr_type_real_4)\n CALL blas_process_mm_stack_s(params, &\n stack_size, &\n left%data_area%d%r_sp, right%data_area%d%r_sp, this%data_area%d%r_sp)\n CASE (dbcsr_type_real_8)\n CALL blas_process_mm_stack_d(params, &\n stack_size, &\n left%data_area%d%r_dp, right%data_area%d%r_dp, this%data_area%d%r_dp)\n CASE (dbcsr_type_complex_4)\n CALL blas_process_mm_stack_c(params, &\n stack_size, &\n left%data_area%d%c_sp, right%data_area%d%c_sp, this%data_area%d%c_sp)\n CASE (dbcsr_type_complex_8)\n CALL blas_process_mm_stack_z(params, &\n stack_size, &\n left%data_area%d%c_dp, right%data_area%d%c_dp, this%data_area%d%c_dp)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CASE default\n DBCSR_ABORT(\"Invalid multiplication driver\")\n END SELECT\n\n IF (use_acc()) & !for cpu-only runs this is called too often\n CALL timestop(error_handle)\n\n END SUBROUTINE dbcsr_mm_hostdrv_process\n\n SUBROUTINE print_gemm_parameters(params)\n !! Helper-routine used by dbcsr_mm_hostdrv_process to print debug info.\n INTEGER, DIMENSION(:, :), INTENT(in) :: params\n\n INTEGER :: sp\n\n DO sp = 1, SIZE(params, 2)\n WRITE (*, '(1X,A,1X,I7,\":\",3(1X,I4,\",\"),\".\",3(1X,I12,\",\"))') &\n \"GEMM PARAMETERS\", &\n sp, &\n params(p_m, sp), &\n params(p_k, sp), &\n params(p_n, sp), &\n params(p_a_first, sp), &\n params(p_b_first, sp), &\n params(p_c_first, sp)\n END DO\n END SUBROUTINE print_gemm_parameters\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n SUBROUTINE blas_process_mm_stack_${nametype1}$ (params, &\n stack_size, &\n a_data, b_data, c_data)\n !! Processes MM stack and issues BLAS xGEMM calls\n\n INTEGER, INTENT(IN) :: stack_size\n !! Number of parameters\n INTEGER, DIMENSION(dbcsr_ps_width, 1:stack_size), &\n INTENT(IN) :: params\n !! Stack of MM parameters\n ${type1}$, DIMENSION(*), INTENT(IN) :: a_data, &\n b_data\n !! Left-matrix data\n !! Right-matrix data\n ${type1}$, DIMENSION(*), INTENT(INOUT) :: c_data\n !! Product data\n\n INTEGER :: sp\n\n! ---------------------------------------------------------------------------\n\n DO sp = 1, stack_size\n CALL ${gemmname1[n]}$ ('N', &\n 'N', &\n params(p_m, sp), params(p_n, sp), & !m, n\n params(p_k, sp), & ! k\n ${one1[n]}$, & ! alpha\n a_data(params(p_a_first, sp)), & ! A\n params(p_m, sp), & !lda\n b_data(params(p_b_first, sp)), & ! B\n params(p_k, sp), & !ldb\n ${one1[n]}$, & ! beta\n c_data(params(p_c_first, sp)), params(p_m, sp))\n END DO\n END SUBROUTINE blas_process_mm_stack_${nametype1}$\n\n SUBROUTINE internal_process_mm_stack_${nametype1}$ (params, stack_size, &\n a_data, b_data, c_data)\n !! Processes MM stack and issues internal MM calls.\n\n INTEGER, INTENT(IN) :: stack_size\n !! Number of parameters\n INTEGER, DIMENSION(dbcsr_ps_width, 1:stack_size), &\n INTENT(IN) :: params\n !! Stack of MM parameters\n ${type1}$, DIMENSION(*), INTENT(IN) :: a_data, &\n b_data\n !! Left-matrix data\n !! Right-matrix data\n ${type1}$, DIMENSION(*), INTENT(INOUT) :: c_data\n !! Product data\n\n INTEGER :: sp\n\n! ---------------------------------------------------------------------------\n\n DO sp = 1, stack_size\n CALL internal_mm_${nametype1}$_nn( &\n params(p_m, sp), &\n params(p_n, sp), &\n params(p_k, sp), &\n a_data(params(p_a_first, sp)), &\n b_data(params(p_b_first, sp)), &\n c_data(params(p_c_first, sp)))\n END DO\n END SUBROUTINE internal_process_mm_stack_${nametype1}$\n\n SUBROUTINE smm_process_mm_stack_${nametype1}$ (stack_descr, params, &\n stack_size, &\n a_data, b_data, c_data, used_smm)\n !! Processes MM stack and issues SMM library calls\n\n INTEGER, INTENT(IN) :: stack_size\n !! Number of parameters\n TYPE(stack_descriptor_type), INTENT(IN) :: stack_descr\n INTEGER, DIMENSION(dbcsr_ps_width, 1:stack_size), &\n INTENT(IN) :: params\n !! Stack of MM parameters\n ${type1}$, DIMENSION(*), INTENT(IN) :: a_data, &\n b_data\n !! Left-matrix data\n !! Right-matrix data\n ${type1}$, DIMENSION(*), INTENT(INOUT) :: c_data\n !! Product data\n LOGICAL, INTENT(OUT) :: used_smm\n\n#if defined(__HAS_smm_${nametype1}$nn)\n\n INTEGER :: sp\n\n ! TODO we have no way of knowing which calls to libsmm actually resolve to BLAS\n ! Fixing this requires an interface change to libsmm.\n used_smm = .TRUE.\n\n#if defined(__HAS_smm_vec)\n IF (stack_descr%defined_mnk) THEN\n CALL smm_vec_${nametype1}$nn(stack_descr%m, stack_descr%n, stack_descr%k, &\n a_data, b_data, c_data, stack_size, &\n dbcsr_ps_width, params, p_a_first, p_b_first, p_c_first)\n RETURN\n END IF\n#endif\n\n DO sp = 1, stack_size\n CALL smm_${nametype1}$nn( &\n params(p_m, sp), &\n params(p_n, sp), &\n params(p_k, sp), &\n a_data(params(p_a_first, sp)), &\n b_data(params(p_b_first, sp)), &\n c_data(params(p_c_first, sp)))\n END DO\n\n#else\n ! We do not want to abort here, fall back to BLAS.\n used_smm = .FALSE.\n CALL blas_process_mm_stack_${nametype1}$ (params, stack_size, a_data, b_data, c_data)\n#endif\n\n MARK_USED(stack_descr)\n END SUBROUTINE smm_process_mm_stack_${nametype1}$\n\n#if defined(__LIBXSMM) && TO_VERSION(1, 10) < TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n SUBROUTINE xsmm_process_mm_batch_${nametype1}$ (stack_descr, params, &\n stack_size, a_data, b_data, c_data, used_smm)\n !! Processes MM stack and issues libxsmm calls\n#if ${xsmm_supported[n]}$\n#if !defined(DBCSR_LIBXSMM_GEMM_BATCH)\n#define DBCSR_LIBXSMM_GEMM_BATCH libxsmm_gemm_batch\n#endif\n ! Caution: This dependency is ignored by makedep.py, because libxsmm.F is kinda empty.\n USE libxsmm, ONLY: LIBXSMM_GEMM_PRECISION => ${'LIBXSMM_DATATYPE_F'+bits1[n]}$, &\n libxsmm_gemm => libxsmm_${nametype1}$gemm, &\n libxsmm_gemm_batch => DBCSR_LIBXSMM_GEMM_BATCH, &\n libxsmm_ptr0\n REAL(${kind1}$), PARAMETER :: one = 1.0_${kind1}$\n INTEGER :: sp\n#endif\n INTEGER, INTENT(IN) :: stack_size\n !! Number of parameters\n TYPE(stack_descriptor_type), INTENT(IN) :: stack_descr\n INTEGER, DIMENSION(dbcsr_ps_width, 1:stack_size), &\n INTENT(IN) :: params\n !! Stack of MM parameters\n ${type1}$, DIMENSION(*), TARGET, INTENT(IN) :: a_data\n !! Left-matrix data\n ${type1}$, DIMENSION(*), TARGET, INTENT(IN) :: b_data\n !! Right-matrix data\n ${type1}$, DIMENSION(*), TARGET, INTENT(INOUT) :: c_data\n !! Product data\n LOGICAL, INTENT(OUT) :: used_smm\n !! Flag to signal if an efficient kernel was used\n\n#if ${xsmm_supported[n]}$\n IF (stack_descr%defined_mnk) THEN ! homogeneous stack\n CALL libxsmm_gemm_batch(LIBXSMM_GEMM_PRECISION, LIBXSMM_GEMM_PRECISION, 'N', 'N', &\n m=stack_descr%m, n=stack_descr%n, k=stack_descr%k, &\n alpha=libxsmm_ptr0(one), a=libxsmm_ptr0(a_data(LBOUND(a_data, 1))), &\n lda=stack_descr%m, &\n b=libxsmm_ptr0(b_data(LBOUND(b_data, 1))), &\n ldb=stack_descr%k, &\n beta=libxsmm_ptr0(one), c=libxsmm_ptr0(c_data(LBOUND(c_data, 1))), &\n ldc=stack_descr%m, index_base=1, &\n index_stride=KIND(params)*dbcsr_ps_width, &\n stride_a=libxsmm_ptr0(params(p_a_first, 1)), &\n stride_b=libxsmm_ptr0(params(p_b_first, 1)), &\n stride_c=libxsmm_ptr0(params(p_c_first, 1)), &\n batchsize=stack_size)\n used_smm = .TRUE.\n ELSE ! Dispatch for every (different) matrix\n DO sp = 1, stack_size\n CALL libxsmm_gemm(m=params(p_m, sp), n=params(p_n, sp), k=params(p_k, sp), &\n a=a_data(params(p_a_first, sp)), &\n b=b_data(params(p_b_first, sp)), &\n c=c_data(params(p_c_first, sp)), &\n alpha=one, beta=one)\n END DO\n used_smm = .FALSE.\n END IF\n#else\n MARK_USED(stack_descr)\n ! We do not want to abort here, fall back to BLAS.\n CALL blas_process_mm_stack_${nametype1}$ (params, stack_size, a_data, b_data, c_data)\n used_smm = .FALSE.\n#endif\n END SUBROUTINE xsmm_process_mm_batch_${nametype1}$\n#endif\n\n#if defined(__LIBXSMM) && TO_VERSION(1, 10) >= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n\n SUBROUTINE xsmm_process_mm_stack_${nametype1}$ (stack_descr, params, &\n stack_size, a_data, b_data, c_data, used_smm)\n !! Processes MM stack and issues libxsmm calls\n#if ${xsmm_supported[n]}$\n ! Caution: This dependency is ignored by makedep.py, because libxsmm.F is kinda empty.\n USE libxsmm, ONLY: libxsmm_function => libxsmm_${nametype1}$mmfunction, &\n libxsmm_dispatch => libxsmm_${nametype1}$mmdispatch, &\n libxsmm_available => libxsmm_${nametype1}$mmavailable, &\n libxsmm_call => libxsmm_${nametype1}$mmcall, &\n libxsmm_gemm => libxsmm_${nametype1}$gemm, &\n LIBXSMM_PREFETCH_NONE, &\n LIBXSMM_PREFETCH, &\n LIBXSMM_MAX_MNK, &\n LIBXSMM_FLAGS\n INTEGER, PARAMETER :: LIBXSMM_DEFAULT_PREFETCH = LIBXSMM_PREFETCH\n INTEGER, PARAMETER :: LIBXSMM_DEFAULT_FLAGS = LIBXSMM_FLAGS\n REAL(${kind1}$), PARAMETER :: one = 1.0_${kind1}$\n REAL(${kind1}$), DIMENSION(:, :), POINTER :: a_ptr, b_ptr, c_ptr\n INTEGER :: m, n, k, sp, fa, fb, fc\n LOGICAL :: processed\n TYPE(libxsmm_function) :: func\n INTEGER(int_8) :: threshold\n INTEGER :: pa, pb, pc\n#endif\n INTEGER, INTENT(IN) :: stack_size\n !! Number of parameters\n TYPE(stack_descriptor_type), INTENT(IN) :: stack_descr\n INTEGER, DIMENSION(dbcsr_ps_width, 1:stack_size), &\n INTENT(IN) :: params\n !! Stack of MM parameters\n ${type1}$, DIMENSION(*), TARGET, INTENT(IN) :: a_data\n !! Left-matrix data\n ${type1}$, DIMENSION(*), TARGET, INTENT(IN) :: b_data\n !! Right-matrix data\n ${type1}$, DIMENSION(*), TARGET, INTENT(INOUT) :: c_data\n !! Product data\n LOGICAL, INTENT(OUT) :: used_smm\n !! Flag to signal if an efficient kernel was used\n\n#if ${xsmm_supported[n]}$\n processed = .FALSE.\n used_smm = .FALSE.\n\n ! check whether the matrix stack is homogeneous or not\n IF (stack_descr%defined_mnk) THEN\n threshold = INT(stack_descr%m, int_8)* &\n INT(stack_descr%n, int_8)* &\n INT(stack_descr%k, int_8)\n\n ! check if matrices are too large for LIBXSMM (BLAS is likely more efficient)\n IF (threshold <= LIBXSMM_MAX_MNK) THEN\n ! try to get a function pointer from libxsmm\n CALL libxsmm_dispatch(func, &\n m=stack_descr%m, n=stack_descr%n, k=stack_descr%k, alpha=one, beta=one, &\n flags=LIBXSMM_DEFAULT_FLAGS, prefetch=LIBXSMM_DEFAULT_PREFETCH)\n\n IF (libxsmm_available(func)) THEN\n ! load first stack entry\n DBCSR_ASSERT(stack_size > 0)\n pa = params(p_a_first, 1)\n pb = params(p_b_first, 1)\n pc = params(p_c_first, 1)\n\n DO sp = 1, stack_size - 1\n fa = pa; fb = pb; fc = pc\n ! prefetch next blocks\n pa = params(p_a_first, sp + 1)\n pb = params(p_b_first, sp + 1)\n pc = params(p_c_first, sp + 1)\n\n ! condition evaluates at compile-time (PARAMETER)\n IF (LIBXSMM_DEFAULT_PREFETCH /= LIBXSMM_PREFETCH_NONE) THEN\n CALL libxsmm_call(func, &\n a=a_data(fa), b=b_data(fb), c=c_data(fc), &\n ! provide locations of the next operand set\n pa=a_data(pa), pb=b_data(pb), pc=c_data(pc))\n ELSE\n CALL libxsmm_call(func, &\n a=a_data(fa), b=b_data(fb), c=c_data(fc))\n END IF\n END DO\n\n ! handle last stack entry without out-of-bounds access\n fa = pa; fb = pb; fc = pc\n\n ! condition evaluates at compile-time (PARAMETER)\n IF (LIBXSMM_DEFAULT_PREFETCH /= LIBXSMM_PREFETCH_NONE) THEN\n CALL libxsmm_call(func, &\n a=a_data(fa), b=b_data(fb), c=c_data(fc), &\n ! prefetch same blocks\n pa=a_data(pa), pb=b_data(pb), pc=c_data(pc))\n ELSE\n CALL libxsmm_call(func, &\n a=a_data(fa), b=b_data(fb), c=c_data(fc))\n END IF\n\n processed = .TRUE.\n used_smm = .TRUE.\n END IF\n ELSE\n CALL blas_process_mm_stack_${nametype1}$ (params, stack_size, a_data, b_data, c_data)\n processed = .TRUE.\n END IF\n END IF\n\n IF (.NOT. processed) THEN\n ! Dispatch interface was not used, call regular interface.\n ! Should only happen for inhomogeneous stacks.\n ! Counted as used_smm = .FALSE.\n DO sp = 1, stack_size\n m = params(p_m, sp)\n n = params(p_n, sp)\n k = params(p_k, sp)\n fa = params(p_a_first, sp)\n fb = params(p_b_first, sp)\n fc = params(p_c_first, sp)\n ! somewhat expensive pointer remapping required\n a_ptr(1:m, 1:k) => a_data(fa:fa + (m*k))\n b_ptr(1:k, 1:n) => b_data(fb:fb + (k*n))\n c_ptr(1:m, 1:n) => c_data(fc:fc + (m*n))\n CALL libxsmm_gemm(m=m, n=n, k=k, a=a_ptr, b=b_ptr, c=c_ptr, &\n alpha=one, beta=one)\n END DO\n END IF\n#else\n MARK_USED(stack_descr)\n ! We do not want to abort here, fall back to BLAS.\n CALL blas_process_mm_stack_${nametype1}$ (params, stack_size, a_data, b_data, c_data)\n used_smm = .FALSE.\n#endif\n END SUBROUTINE xsmm_process_mm_stack_${nametype1}$\n#endif\n\n PURE SUBROUTINE internal_mm_${nametype1}$_nn( &\n M, N, K, A, B, C)\n INTEGER, INTENT(IN) :: M, N, K\n ${type1}$, INTENT(INOUT) :: C(M, N)\n ${type1}$, INTENT(IN) :: B(K, N)\n ${type1}$, INTENT(IN) :: A(M, K)\n C(:, :) = C(:, :) + MATMUL(A, B)\n END SUBROUTINE internal_mm_${nametype1}$_nn\n #:endfor\n\nEND MODULE dbcsr_mm_hostdrv\n" }, { "path": "src/mm/dbcsr_mm_multrec.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_multrec\n !! Second layer of the dbcsr matrix-matrix multiplication.\n !! It divides the multiplication in a cache-oblivious manner.\n !! Modification history:\n !! - 2010-02-23 Moved from dbcsr_operations\n !! - 2011-11 Moved parameter-stack processing routines to\n !! dbcsr_mm_methods.\n !! - 2013-01 extensive refactoring (Ole Schuett)\n\n USE dbcsr_array_types, ONLY: array_data, &\n array_equality\n USE dbcsr_block_operations, ONLY: dbcsr_data_set\n USE dbcsr_config, ONLY: dbcsr_cfg\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_col_dist, &\n dbcsr_distribution_has_threads, &\n dbcsr_distribution_local_cols, &\n dbcsr_distribution_local_cols_obj, &\n dbcsr_distribution_local_rows, &\n dbcsr_distribution_local_rows_obj, &\n dbcsr_distribution_row_dist, &\n dbcsr_distribution_thread_dist\n USE dbcsr_mm_csr, ONLY: &\n dbcsr_mm_csr_dev2host_init, dbcsr_mm_csr_finalize, dbcsr_mm_csr_init, &\n dbcsr_mm_csr_lib_finalize, dbcsr_mm_csr_lib_init, dbcsr_mm_csr_multiply, &\n dbcsr_mm_csr_purge_stacks, dbcsr_mm_csr_red3D, dbcsr_mm_csr_type\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_type, &\n dbcsr_work_type, &\n dbcsr_type_complex_4, dbcsr_type_complex_8, &\n dbcsr_type_real_4, dbcsr_type_real_8\n USE dbcsr_kinds, ONLY: int_8, &\n real_4, &\n real_8, &\n sp\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_multrec'\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n TYPE dbcsr_mm_multrec_type\n !! Used to carry data among the various calls. Each thread has\n !! its own private copy.\n\n PRIVATE\n LOGICAL :: c_has_symmetry = .FALSE., keep_sparsity = .FALSE., keep_product_data = .FALSE., use_eps = .FALSE.\n !! The product matrix has symmetry\n !! Sparsity of C matrix should be kept\n !! Use on-the-fly filtering\n INTEGER, DIMENSION(:), POINTER :: m_sizes => NULL(), n_sizes => NULL(), k_sizes => NULL()\n !! Block sizes of A and C matrix rows, indexed locally\n !! Block sizes of B and C matrix columns, indexed locally\n !! Block sizes of A matrix columns and B matrix rows, indexed locally\n INTEGER, DIMENSION(:), POINTER :: m_global_sizes => NULL(), n_global_sizes => NULL()\n INTEGER, DIMENSION(:), POINTER :: c_local_rows => NULL(), c_local_cols => NULL(), k_locals => NULL(), &\n c_global_rows => NULL(), c_global_cols => NULL()\n !! C and A matrix local rows. Map from local row (index) to global row (value).\n !! C and B matrix local columns. Map from local column (index) to global column (value).\n !! A matrix local columns and B matrix local rows. Map from local row/column (index) to global row/column (value).\n !! C and A matrix global rows. Map from global rows (index) to local rows (value).\n !! C and B matrix global columns. Map from global columns (index) to local columns (value).\n\n REAL(KIND=sp), DIMENSION(:), POINTER :: row_max_epss => NULL(), a_norms => NULL(), b_norms => NULL()\n !! Maximum eps to be used for one row.\n !! Norms of A matrix blocks.\n !! Norms of B matrix blocks.\n REAL(KIND=real_8) :: eps = -1.0_real_8\n INTEGER :: original_lastblk = -1\n !! Number of work matrix blocks before addition\n INTEGER(kind=int_8) :: flop = -1_int_8\n !! flop count\n TYPE(dbcsr_work_type), POINTER :: product_wm => Null()\n TYPE(dbcsr_mm_csr_type) :: csr = dbcsr_mm_csr_type()\n LOGICAL :: new_row_max_epss = .FALSE.\n LOGICAL :: initialized = .FALSE.\n END TYPE dbcsr_mm_multrec_type\n\n ! **************************************************************************************************\n PUBLIC :: dbcsr_mm_multrec_type\n PUBLIC :: dbcsr_mm_multrec_lib_init, dbcsr_mm_multrec_lib_finalize\n PUBLIC :: dbcsr_mm_multrec_init, dbcsr_mm_multrec_finalize\n PUBLIC :: dbcsr_mm_multrec_multiply\n PUBLIC :: dbcsr_mm_multrec_dev2host_init, dbcsr_mm_multrec_red3D\n PUBLIC :: dbcsr_mm_multrec_get_nblks, dbcsr_mm_multrec_get_nze\n\nCONTAINS\n\n SUBROUTINE dbcsr_mm_multrec_lib_init()\n !! Initialize the library\n\n CALL dbcsr_mm_csr_lib_init()\n END SUBROUTINE\n\n SUBROUTINE dbcsr_mm_multrec_lib_finalize()\n !! Finalize the library\n CALL dbcsr_mm_csr_lib_finalize()\n END SUBROUTINE\n\n SUBROUTINE dbcsr_mm_multrec_init(this, left, right, product, &\n keep_sparsity, eps, row_max_epss, block_estimate, right_row_blk_size, &\n m_sizes, n_sizes, nlayers, keep_product_data)\n !! Sets up recursive multiplication\n\n TYPE(dbcsr_mm_multrec_type), INTENT(out) :: this\n TYPE(dbcsr_type), INTENT(IN), OPTIONAL :: left, right\n !! left DBCSR matrix\n !! right DBCSR matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: product\n !! resulting DBCSR product matrix\n LOGICAL, INTENT(IN) :: keep_sparsity\n !! retain the sparsity of the existing product matrix, default is no\n LOGICAL, INTENT(IN), OPTIONAL :: keep_product_data\n !! Perform final reduction on C data, default is yes\n REAL(kind=real_8), INTENT(in), OPTIONAL :: eps\n !! on-the-fly filtering epsilon\n REAL(kind=sp), DIMENSION(:), INTENT(IN), TARGET :: row_max_epss\n INTEGER, INTENT(IN) :: block_estimate\n INTEGER, DIMENSION(:), INTENT(IN) :: right_row_blk_size\n INTEGER, DIMENSION(:), INTENT(IN), POINTER :: m_sizes, n_sizes\n INTEGER, OPTIONAL :: nlayers\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_multrec_init'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: c_nblkcols_local, c_nblkrows_local, &\n handle, ithread\n INTEGER, DIMENSION(:), POINTER :: c_local_cols, c_local_rows\n\n!$ INTEGER, DIMENSION(:), POINTER :: product_thread_dist\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n !\n IF (this%initialized) &\n DBCSR_ABORT(\"multrec already initialized.\")\n\n IF (PRESENT(left) .NEQV. PRESENT(right)) &\n DBCSR_ABORT(\"Must both left and right provided or not.\")\n\n IF (PRESENT(left) .AND. PRESENT(right)) THEN\n ! Ensures that the index is correctly defined.\n IF (.NOT. left%list_indexing) &\n DBCSR_ABORT(\"Must use list indexing for this routine.\")\n IF (left%bcsc) &\n DBCSR_ABORT(\"Wrong routine for BCSC matrices.\")\n\n IF (right%bcsc) &\n DBCSR_ABORT(\"Wrong routine for BCSC matrices.\")\n IF (.NOT. right%local_indexing) &\n DBCSR_ABORT(\"Matrices must have local indexing.\")\n IF (.NOT. left%local_indexing) &\n DBCSR_ABORT(\"Matrices must have local indexing.\")\n END IF\n !\n ! Fill result data structure.\n this%keep_sparsity = keep_sparsity\n this%c_has_symmetry = product%symmetry\n this%keep_product_data = .TRUE.\n IF (PRESENT(keep_product_data)) THEN\n this%keep_product_data = keep_product_data\n END IF\n this%use_eps = PRESENT(eps)\n this%original_lastblk = product%wms(ithread + 1)%lastblk\n this%flop = INT(0, int_8)\n this%product_wm => product%wms(ithread + 1)\n\n IF (PRESENT(eps)) THEN\n this%eps = eps\n ELSE\n this%eps = 0.0_real_8\n END IF\n !\n !\n!$ NULLIFY (product_thread_dist)\n!$ IF (.NOT. dbcsr_distribution_has_threads(product%dist)) &\n!$ DBCSR_ABORT(\"Missing thread distribution.\")\n!$ product_thread_dist => array_data( &\n!$ dbcsr_distribution_thread_dist(product%dist))\n !\n ! Find out the C/A rows and C/B columns and sizes.\n c_nblkrows_local = product%nblkrows_local\n c_local_rows => array_data(product%local_rows)\n c_nblkcols_local = product%nblkcols_local\n c_local_cols => array_data(product%local_cols)\n this%c_local_rows => c_local_rows\n this%c_local_cols => c_local_cols\n IF (dbg) WRITE (*, *) \"setting up for product\", product%name\n IF (careful_mod) THEN\n IF (.NOT. array_equality(dbcsr_distribution_local_rows_obj(product%dist), &\n product%local_rows)) THEN\n WRITE (*, *) \"row dist\", dbcsr_distribution_row_dist(product%dist)\n WRITE (*, *) \"dist local rows\", dbcsr_distribution_local_rows(product%dist)\n WRITE (*, *) \" mat local rows\", array_data(product%local_rows)\n DBCSR_ABORT(\"Array mismatch.\")\n END IF\n IF (.NOT. array_equality(dbcsr_distribution_local_cols_obj(product%dist), &\n product%local_cols)) THEN\n WRITE (*, *) \"col dist\", dbcsr_distribution_col_dist(product%dist)\n WRITE (*, *) \"dist local cols\", dbcsr_distribution_local_cols(product%dist)\n WRITE (*, *) \" mat local cols\", array_data(product%local_cols)\n DBCSR_ABORT(\"Array mismatch.\")\n END IF\n IF (SIZE(c_local_rows) /= c_nblkrows_local) &\n DBCSR_ABORT(\"Row count mismatch.\")\n IF (SIZE(c_local_cols) /= c_nblkcols_local) &\n DBCSR_ABORT(\"Column count mismatch.\")\n END IF\n !\n ! And the k epsilons\n IF ((PRESENT(left) .AND. PRESENT(right)) .OR. .NOT. this%use_eps) THEN\n ALLOCATE (this%row_max_epss(c_nblkrows_local))\n this%new_row_max_epss = .TRUE.\n END IF\n IF (this%use_eps) THEN\n IF (PRESENT(left) .AND. PRESENT(right)) THEN\n CALL local_filter_sp(row_max_epss, c_nblkrows_local, c_local_rows, &\n this%row_max_epss)\n ELSE\n this%row_max_epss => row_max_epss\n END IF\n ELSE\n this%row_max_epss(:) = -HUGE(0.0_sp)\n END IF\n !\n this%m_sizes => m_sizes\n this%n_sizes => n_sizes\n this%m_global_sizes => array_data(product%row_blk_size)\n this%n_global_sizes => array_data(product%col_blk_size)\n NULLIFY (this%k_locals)\n NULLIFY (this%k_sizes)\n\n !TODO: should we move this up?\n CALL dbcsr_mm_csr_init(this%csr, &\n left=left, right=right, product=product, &\n m_sizes=this%m_sizes, n_sizes=this%n_sizes, &\n block_estimate=block_estimate, &\n right_row_blk_size=right_row_blk_size, &\n nlayers=nlayers, &\n keep_product_data=this%keep_product_data)\n\n this%initialized = .TRUE.\n CALL timestop(handle)\n END SUBROUTINE dbcsr_mm_multrec_init\n\n SUBROUTINE dbcsr_mm_multrec_multiply(this, left, right, flop, &\n a_norms, b_norms, k_sizes)\n !! Multiplies two DBCSR matrices using recursive algorithm\n !! This routine sets up the multiplication. Specifically, it
    \n !!
  • verifies input sanity\n !!
  • converts everything into \"local indexing\"\n !!
\n\n TYPE(dbcsr_mm_multrec_type), INTENT(inout) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n !! left DBCSR matrix\n !! right DBCSR matrix\n INTEGER(KIND=int_8), INTENT(INOUT) :: flop\n !! number of effective double-precision floating point operations performed\n REAL(kind=sp), DIMENSION(:), INTENT(in), TARGET :: a_norms, b_norms\n !! norms of left-matrix blocks\n !! norms of right-matrix blocks\n INTEGER, DIMENSION(:), INTENT(IN), POINTER :: k_sizes\n\n!$ INTEGER :: ithread\n INTEGER :: t_a_f, t_a_l, t_b_f, t_b_l\n INTEGER, DIMENSION(:), POINTER :: k_locals\n\n! ---------------------------------------------------------------------------\n\n IF (.NOT. this%initialized) &\n DBCSR_ABORT(\"multrec not initialized.\")\n\n this%flop = 0\n\n ! Find out the local A columns / B rows and sizes\n ! The right%local_rows is setup by the communication engine.\n k_locals => array_data(right%local_rows)\n this%k_locals => k_locals\n this%k_sizes => k_sizes\n ! Setup the block norms\n this%a_norms => a_norms\n this%b_norms => b_norms\n\n ! Start local multiplication\n t_a_f = 1\n t_a_l = left%nblks\n t_b_f = 1\n t_b_l = right%nblks\n!$ IF (ASSOCIATED(left%thr_c)) THEN\n!$ ithread = OMP_GET_THREAD_NUM()\n!$ t_a_f = left%thr_c(ithread + 1) + 1\n!$ t_a_l = left%thr_c(ithread + 2)\n!$ END IF\n CALL sparse_multrec(this, left, right, &\n 1, left%nblkrows_local, &\n 1, right%nblkcols_local, &\n 1, SIZE(k_locals), &\n t_a_f, t_a_l, left%coo_l, &\n t_b_f, t_b_l, right%coo_l, &\n 0)\n\n CALL dbcsr_mm_csr_purge_stacks(this%csr, left, right)\n\n flop = flop + this%flop\n !\n END SUBROUTINE dbcsr_mm_multrec_multiply\n\n SUBROUTINE dbcsr_mm_multrec_dev2host_init(this)\n !! Sets up recursive multiplication\n TYPE(dbcsr_mm_multrec_type), INTENT(inout) :: this\n\n! ---------------------------------------------------------------------------\n\n IF (.NOT. this%initialized) &\n DBCSR_ABORT(\"multrec not initialized.\")\n CALL dbcsr_mm_csr_dev2host_init(this%csr)\n END SUBROUTINE dbcsr_mm_multrec_dev2host_init\n\n SUBROUTINE dbcsr_mm_multrec_finalize(this, meta_buffer)\n !! Sets up recursive multiplication\n TYPE(dbcsr_mm_multrec_type), INTENT(inout) :: this\n INTEGER, DIMENSION(:), INTENT(INOUT), OPTIONAL :: meta_buffer\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_multrec_finalize'\n\n INTEGER :: handle, ithread, lb_meta, &\n nblocks, nthreads, ub_meta\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. this%initialized) &\n DBCSR_ABORT(\"multrec not initialized.\")\n\n CALL dbcsr_mm_csr_finalize(this%csr)\n\n ! Release the carrier\n IF (this%new_row_max_epss) DEALLOCATE (this%row_max_epss)\n\n IF (PRESENT(meta_buffer)) THEN\n ithread = 0; nthreads = 1\n!$ ithread = OMP_GET_THREAD_NUM(); nthreads = OMP_GET_NUM_THREADS()\n ! Copy wms data into matrix\n lb_meta = meta_buffer(ithread + 1)\n nblocks = (meta_buffer(ithread + 2) - lb_meta)/3\n ub_meta = lb_meta + nblocks\n meta_buffer(lb_meta + 1:ub_meta) = this%product_wm%row_i(1:nblocks)\n lb_meta = ub_meta\n ub_meta = lb_meta + nblocks\n meta_buffer(lb_meta + 1:ub_meta) = this%product_wm%col_i(1:nblocks)\n lb_meta = ub_meta\n ub_meta = lb_meta + nblocks\n meta_buffer(lb_meta + 1:ub_meta) = this%product_wm%blk_p(1:nblocks)\n ELSE\n CALL remap_local2global(this%product_wm%row_i, &\n this%product_wm%col_i, &\n this%c_local_rows, this%c_local_cols, &\n this%original_lastblk + 1, this%product_wm%lastblk)\n\n ! if filtering is requested remove small blocks, unless the sparsity needs to be kept\n IF (this%use_eps .AND. .NOT. this%keep_sparsity) THEN\n CALL multrec_filtering(this)\n ELSE\n this%product_wm%datasize_after_filtering = this%product_wm%datasize\n END IF\n END IF\n\n this%initialized = .FALSE.\n CALL timestop(handle)\n END SUBROUTINE dbcsr_mm_multrec_finalize\n\n SUBROUTINE multrec_filtering(this)\n !! Applying in-place filtering on the workspace\n TYPE(dbcsr_mm_multrec_type), INTENT(inout) :: this\n\n CHARACTER(len=*), PARAMETER :: routineN = 'multrec_filtering'\n\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n SELECT CASE (this%product_wm%data_area%d%data_type)\n CASE (dbcsr_type_real_4)\n CALL multrec_filtering_s(this%eps, &\n this%product_wm%lastblk, &\n this%product_wm%row_i, &\n this%product_wm%col_i, &\n this%product_wm%blk_p, &\n this%m_global_sizes, this%n_global_sizes, &\n this%product_wm%datasize_after_filtering, &\n this%product_wm%data_area%d%r_sp)\n CASE (dbcsr_type_real_8)\n CALL multrec_filtering_d(this%eps, &\n this%product_wm%lastblk, &\n this%product_wm%row_i, &\n this%product_wm%col_i, &\n this%product_wm%blk_p, &\n this%m_global_sizes, this%n_global_sizes, &\n this%product_wm%datasize_after_filtering, &\n this%product_wm%data_area%d%r_dp)\n CASE (dbcsr_type_complex_4)\n CALL multrec_filtering_c(this%eps, &\n this%product_wm%lastblk, &\n this%product_wm%row_i, &\n this%product_wm%col_i, &\n this%product_wm%blk_p, &\n this%m_global_sizes, this%n_global_sizes, &\n this%product_wm%datasize_after_filtering, &\n this%product_wm%data_area%d%c_sp)\n CASE (dbcsr_type_complex_8)\n CALL multrec_filtering_z(this%eps, &\n this%product_wm%lastblk, &\n this%product_wm%row_i, &\n this%product_wm%col_i, &\n this%product_wm%blk_p, &\n this%m_global_sizes, this%n_global_sizes, &\n this%product_wm%datasize_after_filtering, &\n this%product_wm%data_area%d%c_dp)\n CASE DEFAULT\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n\n CALL timestop(handle)\n\n END SUBROUTINE multrec_filtering\n\n SUBROUTINE dbcsr_mm_multrec_red3D(this, meta_buffer, data_buffer, flop, g2l_map_rows, g2l_map_cols)\n !! Make the reduction of the 3D layers in the local multrec object\n TYPE(dbcsr_mm_multrec_type), INTENT(inout) :: this\n INTEGER, DIMENSION(:), INTENT(IN) :: meta_buffer\n TYPE(dbcsr_data_obj), INTENT(IN) :: data_buffer\n INTEGER(KIND=int_8), INTENT(INOUT) :: flop\n INTEGER, DIMENSION(:), INTENT(IN) :: g2l_map_rows, g2l_map_cols\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_multrec_red3D'\n\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n IF (.NOT. this%initialized) &\n DBCSR_ABORT(\"multrec not initialized.\")\n CALL dbcsr_mm_csr_red3D(this%csr, meta_buffer, data_buffer, flop, &\n m_sizes=this%m_sizes, n_sizes=this%n_sizes, &\n g2l_map_rows=g2l_map_rows, &\n g2l_map_cols=g2l_map_cols, &\n original_lastblk=this%original_lastblk, &\n keep_sparsity=this%keep_sparsity)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_mm_multrec_red3D\n\n FUNCTION dbcsr_mm_multrec_get_nblks(this) RESULT(nblks)\n !! Return number of blocks\n TYPE(dbcsr_mm_multrec_type), INTENT(IN) :: this\n INTEGER :: nblks\n\n nblks = this%product_wm%lastblk\n\n END FUNCTION dbcsr_mm_multrec_get_nblks\n\n FUNCTION dbcsr_mm_multrec_get_nze(this) RESULT(nze)\n !! Return data size\n TYPE(dbcsr_mm_multrec_type), INTENT(IN) :: this\n INTEGER :: nze\n\n nze = this%product_wm%datasize\n\n END FUNCTION dbcsr_mm_multrec_get_nze\n\n RECURSIVE SUBROUTINE sparse_multrec(this, left, right, mi, mf, ni, nf, ki, kf, &\n !! Performs recursive multiplication\n ai, af, a_index, bi, bf, b_index, &\n d)\n TYPE(dbcsr_mm_multrec_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n INTEGER, INTENT(IN) :: mi, mf, ni, nf, ki, kf, ai, af\n INTEGER, DIMENSION(3, 1:af), INTENT(IN) :: a_index\n INTEGER, INTENT(IN) :: bi, bf\n INTEGER, DIMENSION(3, 1:bf), INTENT(IN) :: b_index\n INTEGER, INTENT(IN) :: d\n\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: acut, bcut, cut, K, M, N, s1\n\n! ---------------------------------------------------------------------------\n\n IF (dbg) THEN\n WRITE (*, '(I7,1X,5(A,2(1X,I7)))') d, \" rm\", mi, mf, \",\", ni, nf, \",\", ki, kf, \"/\", ai, af, \",\", bi, bf\n END IF\n IF (.TRUE.) THEN\n IF (af .LT. ai .OR. bf .LT. bi .OR. mf .LT. mi .OR. nf .LT. ni .OR. kf .LT. ki) THEN\n IF (dbg) WRITE (*, *) \"Empty\"\n RETURN\n END IF\n END IF\n\n IF (af - ai + 1 <= dbcsr_cfg%multrec_limit%val .AND. bf - bi + 1 <= dbcsr_cfg%multrec_limit%val) THEN\n IF (af - ai + 1 .GT. 0 .AND. bf - bi + 1 .GT. 0) &\n CALL dbcsr_mm_csr_multiply(this%csr, left, right, &\n mi=mi, mf=mf, ni=ni, nf=nf, ki=ki, kf=kf, &\n ai=ai, af=af, &\n bi=bi, bf=bf, &\n m_sizes=this%m_sizes, n_sizes=this%n_sizes, k_sizes=this%k_sizes, &\n c_local_rows=this%c_local_rows, c_local_cols=this%c_local_cols, &\n c_has_symmetry=this%c_has_symmetry, keep_sparsity=this%keep_sparsity, &\n use_eps=this%use_eps, row_max_epss=this%row_max_epss, &\n flop=this%flop, &\n a_index=a_index, b_index=b_index, &\n a_norms=this%a_norms, b_norms=this%b_norms)\n RETURN\n END IF\n\n M = mf - mi + 1\n N = nf - ni + 1\n K = kf - ki + 1\n IF (dbg) THEN\n WRITE (*, *) 'm,k,n', M, K, N\n END IF\n IF (M >= MAX(N, K)) cut = 1\n IF (K >= MAX(N, M)) cut = 2\n IF (N >= MAX(M, K)) cut = 3\n SELECT CASE (cut)\n CASE (1)\n s1 = M/2\n acut = find_cut_row(ai, af, a_index, mi + s1 - 1)\n CALL sparse_multrec(this, left, right, mi, mi + s1 - 1, ni, nf, ki, kf, &\n ai, acut - 1, a_index, bi, bf, b_index, d + 1)\n CALL sparse_multrec(this, left, right, mi + s1, mf, ni, nf, ki, kf, &\n acut, af, a_index, bi, bf, b_index, d + 1)\n CASE (2)\n s1 = K/2\n acut = find_cut_col(ai, af, a_index, ki + s1 - 1)\n IF (dbg) THEN\n WRITE (*, *) N, s1, ni + s1 - 1, \"/\", ai, af, acut\n WRITE (*, '(3(I7))') a_index\n END IF\n bcut = find_cut_row(bi, bf, b_index, ki + s1 - 1)\n IF (dbg) THEN\n WRITE (*, *) N, s1, ni + s1 - 1, \"/\", bi, bf, bcut\n WRITE (*, '(3(I7))') b_index\n END IF\n CALL sparse_multrec(this, left, right, mi, mf, ni, nf, ki, ki + s1 - 1, &\n ai, acut - 1, a_index, bi, bcut - 1, b_index, d + 1)\n CALL sparse_multrec(this, left, right, mi, mf, ni, nf, ki + s1, kf, &\n acut, af, a_index, bcut, bf, b_index, d + 1)\n CASE (3)\n s1 = N/2\n bcut = find_cut_col(bi, bf, b_index, ni + s1 - 1)\n IF (dbg) THEN\n WRITE (*, *) N, s1, ni + s1 - 1, \"/\", bi, bf, bcut\n WRITE (*, '(3(I7))') b_index\n END IF\n CALL sparse_multrec(this, left, right, mi, mf, ni, ni + s1 - 1, ki, kf, &\n ai, af, a_index, bi, bcut - 1, b_index, d + 1)\n CALL sparse_multrec(this, left, right, mi, mf, ni + s1, nf, ki, kf, &\n ai, af, a_index, bcut, bf, b_index, d + 1)\n END SELECT\n END SUBROUTINE sparse_multrec\n\n! ***************************************************************************************************\n PURE FUNCTION find_cut_row(ai, af, a, val) RESULT(res)\n INTEGER, INTENT(IN) :: ai, af\n INTEGER, DIMENSION(3, 1:af), INTENT(IN) :: a\n INTEGER, INTENT(IN) :: val\n INTEGER :: res\n\n INTEGER :: i, ihigh, ilow\n\n! do a log(N) search along the ordered index\n\n ilow = ai\n IF (a(1, ilow) > val) THEN\n res = ilow\n RETURN\n END IF\n\n ihigh = af\n IF (a(1, ihigh) <= val) THEN\n res = ihigh + 1\n RETURN\n END IF\n\n DO\n IF (ihigh - ilow == 1) EXIT\n i = (ilow + ihigh)/2\n IF (a(1, i) > val) THEN\n ihigh = i\n ELSE\n ilow = i\n END IF\n END DO\n res = ihigh\n\n ! the linear search version\n ! DO i=ai,af\n ! IF (a(i)%r>val) EXIT\n !ENDDO\n !res=i\n END FUNCTION find_cut_row\n\n! ***************************************************************************************************\n PURE FUNCTION find_cut_col(ai, af, a, val) RESULT(res)\n INTEGER, INTENT(IN) :: ai, af\n INTEGER, DIMENSION(3, 1:af), INTENT(IN) :: a\n INTEGER, INTENT(IN) :: val\n INTEGER :: res\n\n INTEGER :: i, ihigh, ilow\n\n! do a log(N) search along the ordered index\n\n ilow = ai\n IF (a(2, ilow) > val) THEN\n res = ilow\n RETURN\n END IF\n\n ihigh = af\n IF (a(2, ihigh) <= val) THEN\n res = ihigh + 1\n RETURN\n END IF\n\n DO\n IF (ihigh - ilow == 1) EXIT\n i = (ilow + ihigh)/2\n IF (a(2, i) > val) THEN\n ihigh = i\n ELSE\n ilow = i\n END IF\n END DO\n res = ihigh\n\n ! the linear search version\n ! DO i=ai,af\n ! IF (a(i)%c>val) EXIT\n !ENDDO\n !res=i\n END FUNCTION find_cut_col\n\n PURE SUBROUTINE remap_local2global(row_i, col_i, local_rows, local_cols, &\n first, last)\n !! Packs a globally-indexed array into a locally-indexed array.\n INTEGER, INTENT(in) :: last, first\n INTEGER, DIMENSION(:), INTENT(in) :: local_cols, local_rows\n INTEGER, DIMENSION(1:last), INTENT(inout) :: col_i, row_i\n\n INTEGER :: i\n\n DO i = first, last\n row_i(i) = local_rows(row_i(i))\n col_i(i) = local_cols(col_i(i))\n END DO\n END SUBROUTINE remap_local2global\n\n PURE SUBROUTINE local_filter_sp(full_data, nle, local_elements, local_data)\n !! Gathers the local elements from all data (full_data) for\n !! single precision elements.\n\n REAL(KIND=sp), DIMENSION(:), INTENT(IN) :: full_data\n INTEGER, INTENT(IN) :: nle\n INTEGER, DIMENSION(1:nle), INTENT(IN) :: local_elements\n REAL(KIND=sp), DIMENSION(1:nle), INTENT(OUT) :: local_data\n\n INTEGER :: l\n\n DO l = 1, SIZE(local_data)\n local_data(l) = full_data(local_elements(l))\n END DO\n END SUBROUTINE local_filter_sp\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1, normname1 in inst_params_float\n\n SUBROUTINE multrec_filtering_${nametype1}$ (filter_eps, nblks, rowi, coli, blkp, &\n rbs, cbs, nze, DATA)\n !! Applying in-place filtering on the workspace.\n !! \\brief Use Frobenius norm\n\n REAL(kind=real_8), INTENT(IN) :: filter_eps\n INTEGER, INTENT(INOUT) :: nblks, nze\n INTEGER, DIMENSION(1:nblks), INTENT(INOUT) :: rowi, coli, blkp\n INTEGER, DIMENSION(:), INTENT(IN) :: rbs, cbs\n ${type1}$, DIMENSION(:), &\n INTENT(INOUT) :: DATA\n\n INTEGER :: blk, lastblk, blk_nze, blk_p\n REAL(kind=real_8) :: nrm\n\n REAL(KIND=real_8), EXTERNAL :: DZNRM2, DDOT\n#if defined (__ACCELERATE)\n REAL(KIND=real_8), EXTERNAL :: SCNRM2, SDOT\n#else\n REAL(KIND=real_4), EXTERNAL :: SCNRM2, SDOT\n#endif\n\n REAL(kind=real_8) :: filter_eps_opt\n\n #:if nametype1 in ['d', 's']\n ! Avoid square root\n filter_eps_opt = filter_eps**2\n #:else\n filter_eps_opt = filter_eps\n #:endif\n\n lastblk = 0\n nze = 0\n !\n DO blk = 1, nblks\n blk_p = blkp(blk)\n IF (blk_p .EQ. 0) CYCLE\n blk_nze = rbs(rowi(blk))*cbs(coli(blk))\n IF (blk_nze .EQ. 0) CYCLE ! Skip empty blocks\n nrm = REAL(${normname1}$ (blk_nze, data(blk_p), 1, data(blk_p), 1)), KIND = real_8)\n IF (nrm .GE. filter_eps_opt) THEN\n ! Keep block\n lastblk = lastblk + 1\n IF (lastblk .LT. blk) THEN\n rowi(lastblk) = rowi(blk)\n coli(lastblk) = coli(blk)\n blkp(lastblk) = blkp(blk)\n END IF\n nze = nze + blk_nze\n END IF\n END DO\n !\n nblks = lastblk\n\n END SUBROUTINE multrec_filtering_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_mm_multrec\n" }, { "path": "src/mm/dbcsr_mm_sched.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_sched\n !! Fourth layer of the dbcsr matrix-matrix multiplication.\n !! It hides the differences between performing calculations on the\n !! accelerator device or on the CPU.\n !! Modification history:\n !! - 2010-02-23 Moved from dbcsr_operations\n !! - 2011-11 Moved parameter-stack processing routines to\n !! dbcsr_mm_methods.\n !! - 2013-01 extensive refactoring (Ole Schuett)\n\n USE dbcsr_block_operations, ONLY: dbcsr_data_clear\n USE dbcsr_config, ONLY: dbcsr_cfg, &\n default_resize_factor, &\n use_acc\n USE dbcsr_data_methods, ONLY: dbcsr_data_ensure_size, &\n dbcsr_data_get_size\n USE dbcsr_kinds, ONLY: int_4, int_8, real_8\n USE dbcsr_mm_accdrv, ONLY: &\n dbcsr_mm_accdrv_barrier, dbcsr_mm_accdrv_dev2host_init, dbcsr_mm_accdrv_finalize, &\n dbcsr_mm_accdrv_init, dbcsr_mm_accdrv_lib_finalize, dbcsr_mm_accdrv_lib_init, &\n dbcsr_mm_accdrv_process, dbcsr_mm_accdrv_type\n USE dbcsr_mm_hostdrv, ONLY: dbcsr_mm_hostdrv_init, &\n dbcsr_mm_hostdrv_lib_finalize, &\n dbcsr_mm_hostdrv_lib_init, &\n dbcsr_mm_hostdrv_process, &\n dbcsr_mm_hostdrv_type\n USE dbcsr_mm_types, ONLY: p_a_first, &\n p_b_first, &\n p_c_first, &\n p_k, &\n p_m, &\n p_n, &\n stack_descriptor_type\n USE dbcsr_mpiwrap, ONLY: mp_bcast, &\n mp_environ, &\n mp_max, &\n mp_sum, mp_comm_type\n USE dbcsr_toollib, ONLY: sort\n USE dbcsr_types, ONLY: dbcsr_type, &\n dbcsr_work_type\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_sched'\n\n PUBLIC :: dbcsr_mm_sched_type\n PUBLIC :: dbcsr_mm_sched_lib_init, dbcsr_mm_sched_lib_finalize\n PUBLIC :: dbcsr_mm_sched_init, dbcsr_mm_sched_finalize\n PUBLIC :: dbcsr_mm_sched_print_statistics\n PUBLIC :: dbcsr_mm_sched_process\n PUBLIC :: dbcsr_mm_sched_begin_burst, dbcsr_mm_sched_end_burst\n PUBLIC :: dbcsr_mm_sched_barrier\n PUBLIC :: dbcsr_mm_sched_set_orig_datasize\n PUBLIC :: dbcsr_mm_sched_dev2host_init\n\n ! **************************************************************************************************\n TYPE dbcsr_mm_sched_type\n PRIVATE\n TYPE(dbcsr_work_type), POINTER :: product_wm => Null()\n TYPE(dbcsr_mm_accdrv_type) :: accdrv = dbcsr_mm_accdrv_type()\n TYPE(dbcsr_mm_hostdrv_type) :: hostdrv = dbcsr_mm_hostdrv_type()\n LOGICAL :: avoid_accdrv = .FALSE.\n LOGICAL :: product_wm_cleared = .FALSE.\n LOGICAL :: keep_product_data = .TRUE.\n INTEGER :: product_wm_orig_datasize = -1\n END TYPE dbcsr_mm_sched_type\n\n ! **************************************************************************************************\n TYPE stats_type\n INTEGER(kind=int_8) :: cpu_num_stacks = 0\n INTEGER(kind=int_8) :: smm_num_stacks = 0\n INTEGER(kind=int_8) :: acc_num_stacks = 0\n INTEGER(kind=int_8) :: cpu_flop = 0\n INTEGER(kind=int_8) :: smm_flop = 0\n INTEGER(kind=int_8) :: acc_flop = 0\n INTEGER(kind=int_8) :: max_cpu_flop = 0\n INTEGER(kind=int_8) :: max_smm_flop = 0\n INTEGER(kind=int_8) :: max_acc_flop = 0\n INTEGER(kind=int_8), DIMENSION(:, :), ALLOCATABLE :: num_mnk_stacks\n ! ensure that array-elements are on different cache lines\n INTEGER(kind=int_4), DIMENSION(64) :: padding = -1_int_4\n END TYPE stats_type\n\n TYPE(stats_type), DIMENSION(:), ALLOCATABLE, TARGET, SAVE :: stats_per_thread\n !! Counters for each thread to collect statistics\n\nCONTAINS\n\n SUBROUTINE stats_init(stats)\n !! Initialize a stats_type\n TYPE(stats_type), INTENT(INOUT) :: stats\n\n ALLOCATE (stats%num_mnk_stacks(1, 10))\n stats%num_mnk_stacks(1, :) = 0 ! entry for the default stack\n END SUBROUTINE stats_init\n\n SUBROUTINE dbcsr_mm_sched_lib_init()\n !! Initialize the library\n\n INTEGER :: ithread, nthreads\n\n nthreads = 1; ithread = 0\n!$ nthreads = OMP_GET_NUM_THREADS(); ithread = OMP_GET_THREAD_NUM()\n\n!$OMP MASTER\n ALLOCATE (stats_per_thread(0:nthreads - 1))\n!$OMP END MASTER\n\n!$OMP BARRIER\n\n CALL stats_init(stats_per_thread(ithread))\n CALL dbcsr_mm_accdrv_lib_init()\n CALL dbcsr_mm_hostdrv_lib_init()\n\n END SUBROUTINE dbcsr_mm_sched_lib_init\n\n SUBROUTINE dbcsr_mm_sched_lib_finalize()\n !! Finalize the library and prints DBCSR statistics\n CALL dbcsr_mm_accdrv_lib_finalize()\n CALL dbcsr_mm_hostdrv_lib_finalize()\n!$OMP MASTER\n DEALLOCATE (stats_per_thread)\n!$OMP END MASTER\n END SUBROUTINE dbcsr_mm_sched_lib_finalize\n\n SUBROUTINE dbcsr_mm_sched_print_statistics(group, output_unit)\n !! Prints DBCSR statistics\n TYPE(mp_comm_type), INTENT(IN) :: group\n INTEGER, INTENT(IN) :: output_unit\n\n TYPE(stats_type) :: report\n ! Collect and output statistics ---------------------------------------------\n\n CALL stats_init(report)\n CALL stats_collect_from_threads(report)\n CALL stats_collect_from_ranks(report, group)\n CALL stats_print_report(report, output_unit)\n END SUBROUTINE dbcsr_mm_sched_print_statistics\n\n SUBROUTINE ensure_product_wm_cleared(this)\n !! Makes sure that the product_wm is cleared.\n TYPE(dbcsr_mm_sched_type), INTENT(INOUT) :: this\n\n INTEGER :: allocated_datasize, used_datasize\n\n IF (this%product_wm_cleared) RETURN\n\n ! The product's data_area could already contain some data.\n ! ( see: keep_product_data in dbcsr_operations.F )\n ! But this data might not occupy all the allocated memory in the data_area.\n ! Since, we don't want to keep track of uninitialized memory we just zero it now.\n\n used_datasize = this%product_wm_orig_datasize\n allocated_datasize = dbcsr_data_get_size(this%product_wm%data_area)\n CALL dbcsr_data_clear(this%product_wm%data_area, lb=used_datasize + 1, ub=allocated_datasize)\n this%product_wm_cleared = .TRUE.\n END SUBROUTINE ensure_product_wm_cleared\n\n SUBROUTINE dbcsr_mm_sched_init(this, product_wm, nlayers, keep_product_data)\n !! Initializes a multiplication cycle for new set of C-blocks.\n TYPE(dbcsr_mm_sched_type), INTENT(INOUT) :: this\n TYPE(dbcsr_work_type), POINTER :: product_wm\n INTEGER, OPTIONAL :: nlayers\n LOGICAL, INTENT(IN) :: keep_product_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_sched_init'\n\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n this%keep_product_data = keep_product_data\n\n this%product_wm => product_wm\n\n ! Clearing the product_wm takes too long, we gonna do it later and\n ! return now to allow for MPI to progress.\n ! We just have to remember its datasize, in case it already contains data.\n this%product_wm_orig_datasize = this%product_wm%datasize\n\n CALL dbcsr_mm_hostdrv_init(this%hostdrv, product_wm)\n\n IF (use_acc()) &\n CALL dbcsr_mm_accdrv_init(this%accdrv, product_wm, nlayers, keep_product_data)\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_mm_sched_init\n\n SUBROUTINE dbcsr_mm_sched_finalize(this)\n !! Finalizes a multiplication cycle for a set of C-blocks.\n TYPE(dbcsr_mm_sched_type), INTENT(INOUT) :: this\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_sched_finalize'\n\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n ! Just in case dbcsr_mm_sched_process was never called (really needed?)\n CALL ensure_product_wm_cleared(this)\n\n !CALL dbcsr_mm_hostdrv_finalize(this%hostdrv) ! not needed\n IF (use_acc()) &\n CALL dbcsr_mm_accdrv_finalize(this%accdrv)\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_mm_sched_finalize\n\n SUBROUTINE dbcsr_mm_sched_dev2host_init(this)\n !! Finalizes a multiplication cycle for a set of C-blocks.\n TYPE(dbcsr_mm_sched_type), INTENT(INOUT) :: this\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mm_sched_dev2host_init'\n\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n IF (use_acc()) &\n CALL dbcsr_mm_accdrv_dev2host_init(this%accdrv)\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_mm_sched_dev2host_init\n\n SUBROUTINE dbcsr_mm_sched_begin_burst(this)\n !! Signal begin of a burst of calls to dbcsr_mm_sched_process.\n TYPE(dbcsr_mm_sched_type), INTENT(INOUT) :: this\n\n this%avoid_accdrv = .FALSE.\n END SUBROUTINE dbcsr_mm_sched_begin_burst\n\n SUBROUTINE dbcsr_mm_sched_end_burst()\n !! Signal end of a burst of calls to dbcsr_mm_sched_process.\n\n!nothing to do here\n\n END SUBROUTINE dbcsr_mm_sched_end_burst\n\n SUBROUTINE dbcsr_mm_sched_barrier()\n !! Signal that previous stacks should be processed first\n\n!CALL dbcsr_mm_hostdrv_barrier(this%hostdrv) ! not needed\n\n IF (use_acc()) &\n CALL dbcsr_mm_accdrv_barrier()\n\n END SUBROUTINE dbcsr_mm_sched_barrier\n\n SUBROUTINE dbcsr_mm_sched_process(this, left, right, stack_data, &\n stack_fillcount, stack_descr)\n !! Processes a given stack.\n TYPE(dbcsr_mm_sched_type), INTENT(INOUT) :: this\n TYPE(dbcsr_type), INTENT(IN) :: left, right\n INTEGER, DIMENSION(:, :), POINTER :: stack_data\n INTEGER, POINTER :: stack_fillcount\n TYPE(stack_descriptor_type), INTENT(IN) :: stack_descr\n\n INTEGER :: ithread, sp, stacked_datasize\n INTEGER(kind=int_8) :: flop_per_entry, total_flop\n LOGICAL :: success, generated_acc_untuned, used_smm\n TYPE(stats_type), POINTER :: mystats\n\n IF (stack_fillcount <= 0) &\n DBCSR_ABORT(\"dbcsr_mm_sched_process: got empty stack\")\n\n ithread = 0\n!$ ithread = OMP_GET_THREAD_NUM()\n mystats => stats_per_thread(ithread)\n\n CALL ensure_product_wm_cleared(this)\n\n stacked_datasize = this%product_wm%datasize\n CALL dbcsr_data_ensure_size(this%product_wm%data_area, stacked_datasize, &\n factor=default_resize_factor, zero_pad=.TRUE.)\n\n !!From here on there is no boundary checking due to assumed-SIZE-arguments.\n !!This is useful to check stack parameters, BUT it works only for kind=dp\n IF (.FALSE.) THEN\n DO sp = 1, stack_fillcount\n IF (stack_data(p_a_first, sp) > SIZE(left%data_area%d%r_dp)) &\n DBCSR_ABORT(\"left data out of range\")\n IF (stack_data(p_b_first, sp) > SIZE(right%data_area%d%r_dp)) &\n DBCSR_ABORT(\"right data out of range\")\n IF (stack_data(p_c_first, sp) > SIZE(this%product_wm%data_area%d%r_dp)) THEN\n WRITE (*, *) \"blub: \", stack_data(p_c_first, sp), SIZE(this%product_wm%data_area%d%r_dp), &\n dbcsr_data_get_size(this%product_wm%data_area), stacked_datasize\n DBCSR_ABORT(\"product data out of range\")\n END IF\n END DO\n END IF\n\n IF (.FALSE.) THEN\n ! Check if homogeneous stacks are indeed homogeneous\n IF (stack_descr%defined_mnk) THEN\n DO sp = 1, stack_fillcount\n IF (stack_data(p_m, sp) /= stack_descr%m) &\n DBCSR_ABORT(\"homogeneous stacks check failed\")\n IF (stack_data(p_n, sp) /= stack_descr%n) &\n DBCSR_ABORT(\"homogeneous stacks check failed\")\n IF (stack_data(p_k, sp) /= stack_descr%k) &\n DBCSR_ABORT(\"homogeneous stacks check failed\")\n END DO\n END IF\n END IF\n\n ! Submitting the stack for processing -------------------------------------\n flop_per_entry = INT(2, KIND=int_8)*stack_descr%max_m*stack_descr%max_n*stack_descr%max_k\n total_flop = stack_fillcount*flop_per_entry\n\n IF (use_acc() .AND. &\n flop_per_entry > dbcsr_cfg%accdrv_min_flop_process%val .AND. &\n (.NOT. this%avoid_accdrv) .AND. &\n (stack_descr%defined_mnk .OR. dbcsr_cfg%accdrv_do_inhomogenous%val)) THEN\n CALL dbcsr_mm_accdrv_process( &\n this%accdrv, &\n left, right, &\n params=stack_data, &\n stack_size=stack_fillcount, &\n stack_descr=stack_descr, &\n success=success, &\n generated_acc_untuned=generated_acc_untuned)\n\n IF (success) THEN\n ! update statistics\n mystats%acc_num_stacks = mystats%acc_num_stacks + 1\n mystats%acc_flop = mystats%acc_flop + total_flop\n CALL stats_add(mystats, &\n m=stack_descr%m, n=stack_descr%n, k=stack_descr%k, &\n stacksize_acc=INT(stack_fillcount, kind=int_8), &\n generated_acc_untuned=generated_acc_untuned)\n RETURN\n ELSE\n this%avoid_accdrv = dbcsr_cfg%accdrv_avoid_after_busy%val\n END IF\n END IF\n\n !WRITE (*,*) \"dbcsr_mm_sched_process: running hostdrv_process, stack_fillcount:\", stack_fillcount\n\n CALL dbcsr_mm_hostdrv_process( &\n this%hostdrv, &\n left, right, &\n params=stack_data, &\n stack_size=stack_fillcount, &\n stack_descr=stack_descr, &\n success=success, &\n used_smm=used_smm)\n\n IF (.NOT. success) DBCSR_ABORT(\"dbcsr_mm_sched_process_stack failed\")\n\n ! update statistics\n IF (used_smm) THEN\n mystats%smm_num_stacks = mystats%smm_num_stacks + 1\n mystats%smm_flop = mystats%smm_flop + total_flop\n CALL stats_add(mystats, &\n m=stack_descr%m, n=stack_descr%n, k=stack_descr%k, &\n stacksize_smm=INT(stack_fillcount, kind=int_8))\n ELSE\n mystats%cpu_num_stacks = mystats%cpu_num_stacks + 1\n mystats%cpu_flop = mystats%cpu_flop + total_flop\n CALL stats_add(mystats, &\n m=stack_descr%m, n=stack_descr%n, k=stack_descr%k, &\n stacksize_cpu=INT(stack_fillcount, kind=int_8))\n END IF\n\n END SUBROUTINE dbcsr_mm_sched_process\n\n SUBROUTINE dbcsr_mm_sched_set_orig_datasize(this, newsize)\n !! Change the datasize of the original workspace buffer\n TYPE(dbcsr_mm_sched_type), INTENT(INOUT) :: this\n INTEGER, INTENT(IN) :: newsize\n\n this%product_wm_orig_datasize = newsize\n END SUBROUTINE dbcsr_mm_sched_set_orig_datasize\n\n SUBROUTINE stats_add(stats, m, n, k, stacksize_cpu, stacksize_smm, stacksize_acc, &\n nstacks_cpu, nstacks_smm, nstacks_acc, generated_acc_untuned)\n !! Helper-routine used by dbcsr_mm_sched_process to supply statistics.\n\n TYPE(stats_type), INTENT(INOUT) :: stats\n INTEGER, INTENT(IN) :: m, n, k\n INTEGER(kind=int_8), OPTIONAL :: stacksize_cpu, stacksize_smm, &\n stacksize_acc, nstacks_cpu, &\n nstacks_smm, nstacks_acc\n LOGICAL, OPTIONAL :: generated_acc_untuned\n\n INTEGER :: i, s\n INTEGER(kind=int_8) :: my_nstacks_acc, my_nstacks_cpu, &\n my_nstacks_smm, my_stacksize_acc, &\n my_stacksize_cpu, my_stacksize_smm, &\n my_nstacks_acc_default\n INTEGER(kind=int_8), ALLOCATABLE, DIMENSION(:, :) :: tmp\n\n my_stacksize_cpu = 0\n my_stacksize_smm = 0\n my_stacksize_acc = 0\n IF (PRESENT(stacksize_cpu)) my_stacksize_cpu = stacksize_cpu\n IF (PRESENT(stacksize_smm)) my_stacksize_smm = stacksize_smm\n IF (PRESENT(stacksize_acc)) my_stacksize_acc = stacksize_acc\n\n my_nstacks_cpu = MERGE(1, 0, my_stacksize_cpu > 0)\n my_nstacks_smm = MERGE(1, 0, my_stacksize_smm > 0)\n my_nstacks_acc = MERGE(1, 0, my_stacksize_acc > 0)\n my_nstacks_acc_default = 0\n IF (PRESENT(nstacks_cpu)) my_nstacks_cpu = nstacks_cpu\n IF (PRESENT(nstacks_smm)) my_nstacks_smm = nstacks_smm\n IF (PRESENT(nstacks_acc)) my_nstacks_acc = nstacks_acc\n IF (PRESENT(generated_acc_untuned)) THEN\n IF (generated_acc_untuned) my_nstacks_acc_default = 1\n END IF\n\n DO i = 1, SIZE(stats%num_mnk_stacks, 1)\n IF (stats%num_mnk_stacks(i, 1) == m .AND. &\n stats%num_mnk_stacks(i, 2) == n .AND. &\n stats%num_mnk_stacks(i, 3) == k) THEN\n stats%num_mnk_stacks(i, 4) = stats%num_mnk_stacks(i, 4) + my_stacksize_cpu\n stats%num_mnk_stacks(i, 5) = stats%num_mnk_stacks(i, 5) + my_stacksize_smm\n stats%num_mnk_stacks(i, 6) = stats%num_mnk_stacks(i, 6) + my_stacksize_acc\n stats%num_mnk_stacks(i, 7) = stats%num_mnk_stacks(i, 7) + my_nstacks_cpu\n stats%num_mnk_stacks(i, 8) = stats%num_mnk_stacks(i, 8) + my_nstacks_smm\n stats%num_mnk_stacks(i, 9) = stats%num_mnk_stacks(i, 9) + my_nstacks_acc\n stats%num_mnk_stacks(i, 10) = stats%num_mnk_stacks(i, 10) + my_nstacks_acc_default\n RETURN\n END IF\n END DO\n\n !not found, ok lets grow the list\n s = SIZE(stats%num_mnk_stacks, 1)\n ALLOCATE (tmp(s, 10))\n tmp(:, :) = stats%num_mnk_stacks(:, :)\n DEALLOCATE (stats%num_mnk_stacks)\n ALLOCATE (stats%num_mnk_stacks(s + 1, 10))\n stats%num_mnk_stacks(1:s, :) = tmp(:, :)\n stats%num_mnk_stacks(s + 1, 1) = m\n stats%num_mnk_stacks(s + 1, 2) = n\n stats%num_mnk_stacks(s + 1, 3) = k\n stats%num_mnk_stacks(s + 1, 4) = my_stacksize_cpu\n stats%num_mnk_stacks(s + 1, 5) = my_stacksize_smm\n stats%num_mnk_stacks(s + 1, 6) = my_stacksize_acc\n stats%num_mnk_stacks(s + 1, 7) = my_nstacks_cpu\n stats%num_mnk_stacks(s + 1, 8) = my_nstacks_smm\n stats%num_mnk_stacks(s + 1, 9) = my_nstacks_acc\n stats%num_mnk_stacks(s + 1, 10) = my_nstacks_acc_default\n DEALLOCATE (tmp)\n END SUBROUTINE stats_add\n\n SUBROUTINE stats_collect_from_threads(report)\n !! Collects statistics from all OpenMP-threads into report\n TYPE(stats_type), INTENT(INOUT) :: report\n\n INTEGER :: i, j, nthreads\n TYPE(stats_type), POINTER :: istats\n\n!$OMP PARALLEL DEFAULT(NONE) SHARED(nthreads)\n!$OMP MASTER\n nthreads = 1\n!$ nthreads = OMP_GET_NUM_THREADS()\n!$OMP END MASTER\n!$OMP END PARALLEL\n\n DO i = 0, nthreads - 1\n istats => stats_per_thread(i)\n report%cpu_num_stacks = report%cpu_num_stacks + istats%cpu_num_stacks\n report%smm_num_stacks = report%smm_num_stacks + istats%smm_num_stacks\n report%acc_num_stacks = report%acc_num_stacks + istats%acc_num_stacks\n report%acc_flop = report%acc_flop + istats%acc_flop\n report%smm_flop = report%smm_flop + istats%smm_flop\n report%cpu_flop = report%cpu_flop + istats%cpu_flop\n\n DO j = 1, SIZE(istats%num_mnk_stacks, 1)\n CALL stats_add(report, &\n m=INT(istats%num_mnk_stacks(j, 1), kind=int_4), &\n n=INT(istats%num_mnk_stacks(j, 2), kind=int_4), &\n k=INT(istats%num_mnk_stacks(j, 3), kind=int_4), &\n stacksize_cpu=istats%num_mnk_stacks(j, 4), &\n stacksize_smm=istats%num_mnk_stacks(j, 5), &\n stacksize_acc=istats%num_mnk_stacks(j, 6), &\n nstacks_cpu=istats%num_mnk_stacks(j, 7), &\n nstacks_smm=istats%num_mnk_stacks(j, 8), &\n nstacks_acc=istats%num_mnk_stacks(j, 9), &\n generated_acc_untuned=istats%num_mnk_stacks(j, 10) .GT. 0)\n END DO\n END DO\n\n END SUBROUTINE stats_collect_from_threads\n\n SUBROUTINE stats_collect_from_ranks(report, group)\n !! Collects statistics from all MPI-ranks\n TYPE(stats_type), INTENT(INOUT) :: report\n TYPE(mp_comm_type), INTENT(IN) :: group\n\n INTEGER :: i, myrank, nranks, sending_rank\n INTEGER, ALLOCATABLE, DIMENSION(:) :: mnk_collected\n INTEGER, DIMENSION(3) :: mnk\n\n!$OMP MASTER\n\n CALL mp_environ(nranks, myrank, group)\n\n report%max_acc_flop = report%acc_flop\n CALL mp_max(report%max_acc_flop, group)\n report%max_smm_flop = report%smm_flop\n CALL mp_max(report%max_smm_flop, group)\n report%max_cpu_flop = report%cpu_flop\n CALL mp_max(report%max_cpu_flop, group)\n\n CALL mp_sum(report%acc_flop, group)\n CALL mp_sum(report%smm_flop, group)\n CALL mp_sum(report%cpu_flop, group)\n CALL mp_sum(report%cpu_num_stacks, group)\n CALL mp_sum(report%smm_num_stacks, group)\n CALL mp_sum(report%acc_num_stacks, group)\n\n ! array mnk_collected is used as a logical-array, allows to use minloc\n ALLOCATE (mnk_collected(SIZE(report%num_mnk_stacks, 1)))\n mnk_collected = 0 ! init all to false\n\n ! broadcast stats of all mnk-combinations, which occurred on any mpi rank\n DO\n ! each rank with uncollected stats tries to become the sending_rank\n sending_rank = -1\n IF (.NOT. ALL(mnk_collected == 1)) sending_rank = myrank\n CALL mp_max(sending_rank, group)\n IF (sending_rank < 0) EXIT ! every rank got all mnk collected\n\n IF (sending_rank == myrank) THEN\n i = MINLOC(mnk_collected, dim=1)\n mnk = INT(report%num_mnk_stacks(i, 1:3), kind=int_4)\n END IF\n CALL mp_bcast(msg=mnk, source=sending_rank, gid=group)\n\n CALL stats_add(report, m=mnk(1), n=mnk(2), k=mnk(3), stacksize_cpu=0_int_8, stacksize_acc=0_int_8)\n DO i = 1, SIZE(report%num_mnk_stacks, 1)\n IF (ALL(report%num_mnk_stacks(i, 1:3) == mnk)) THEN\n IF (i <= SIZE(mnk_collected)) mnk_collected(i) = 1\n CALL mp_sum(report%num_mnk_stacks(i, 4:10), group)\n END IF\n END DO\n END DO\n!$OMP END MASTER\n END SUBROUTINE stats_collect_from_ranks\n\n SUBROUTINE stats_print_report(report, output_unit)\n !! Prints collected statistics\n TYPE(stats_type), INTENT(INOUT) :: report\n INTEGER, INTENT(IN) :: output_unit\n\n INTEGER :: i, j\n INTEGER(KIND=int_8) :: flops, total, total_flops_homo\n INTEGER(KIND=int_8), ALLOCATABLE, DIMENSION(:) :: sort_key\n INTEGER(KIND=int_8), DIMENSION(3) :: flops_homo\n INTEGER, ALLOCATABLE, DIMENSION(:) :: sort_idx\n CHARACTER(LEN=4) :: generated_acc_untuned_label\n LOGICAL :: has_acc_untuned_kernel, &\n use_cpu_kernels\n\n IF (output_unit <= 0) RETURN\n\n WRITE (output_unit, \"(1X,A,T45,A,T57,A,T68,A,T78,A)\") \"COUNTER\", \"TOTAL\", \"BLAS\", \"SMM\", \"ACC\"\n\n !sorting stat entries by flops per multiplication\n ALLOCATE (sort_key(SIZE(report%num_mnk_stacks, 1) - 1))\n sort_key(:) = 2*PRODUCT(report%num_mnk_stacks(2:, 1:3), DIM=2)*SUM(report%num_mnk_stacks(2:, 4:6), DIM=2)\n ALLOCATE (sort_idx(SIZE(sort_key)))\n CALL sort(sort_key, SIZE(sort_key), sort_idx)\n\n total_flops_homo = 0\n flops_homo(:) = 0\n has_acc_untuned_kernel = .FALSE.\n use_cpu_kernels = .FALSE.\n\n DO i = 1, SIZE(sort_idx)\n j = sort_idx(i) + 1\n total = SUM(report%num_mnk_stacks(j, 4:6))\n flops = 2*total*PRODUCT(report%num_mnk_stacks(j, 1:3))\n total_flops_homo = total_flops_homo + flops\n flops_homo(:) = flops_homo(:) + 2*report%num_mnk_stacks(j, 4:6)*PRODUCT(report%num_mnk_stacks(j, 1:3))\n IF (report%num_mnk_stacks(j, 10) .EQ. 0) THEN\n generated_acc_untuned_label = \"\"\n ELSE\n generated_acc_untuned_label = \"(*)\"\n has_acc_untuned_kernel = .TRUE.\n END IF\n\n IF (SUM(report%num_mnk_stacks(j, 4:5)) .GT. 0) THEN\n use_cpu_kernels = .TRUE.\n END IF\n\n WRITE (output_unit, \"(A,I5,' x ',I5,' x ',I5,T30,I20,5X,F5.1,'%',4X,F5.1,'%',4X,F5.1,'% ',A)\") &\n \" flops \", report%num_mnk_stacks(j, 1:3), &\n flops, &\n 100*REAL(report%num_mnk_stacks(j, 4:6))/REAL(MAX(INT(1, KIND=int_8), total)), &\n generated_acc_untuned_label\n END DO\n\n IF (has_acc_untuned_kernel) THEN\n CALL dbcsr_warn(__LOCATION__, &\n \" (*) ACC Untuned kernels, consider to run the ACC tuning procedure for them\")\n END IF\n\n IF (use_cpu_kernels .AND. use_acc()) THEN\n CALL dbcsr_warn(__LOCATION__, &\n \" Some kernels are running on the CPU, consider to run the ACC tuning procedure for them\")\n END IF\n\n total = report%cpu_flop + report%smm_flop + report%acc_flop\n WRITE (output_unit, \"(A,T30,I20,5X,F5.1,'%',4X,F5.1,'%',4X,F5.1,'%')\") &\n \" flops inhomo. stacks\", total - total_flops_homo, &\n 100*REAL(report%cpu_flop - flops_homo(1))/REAL(MAX(INT(1, KIND=int_8), total - total_flops_homo)), &\n 100*REAL(report%smm_flop - flops_homo(2))/REAL(MAX(INT(1, KIND=int_8), total - total_flops_homo)), &\n 100*REAL(report%acc_flop - flops_homo(3))/REAL(MAX(INT(1, KIND=int_8), total - total_flops_homo))\n\n WRITE (output_unit, \"(A,T30,EN20.6,5X,F5.1,'%',4X,F5.1,'%',4X,F5.1,'%')\") &\n \" flops total\", REAL(total, KIND=real_8), &\n 100*REAL(report%cpu_flop)/REAL(MAX(INT(1, KIND=int_8), total)), &\n 100*REAL(report%smm_flop)/REAL(MAX(INT(1, KIND=int_8), total)), &\n 100*REAL(report%acc_flop)/REAL(MAX(INT(1, KIND=int_8), total))\n\n total = report%max_cpu_flop + report%max_smm_flop + report%max_acc_flop\n WRITE (output_unit, \"(A,T30,EN20.6,5X,F5.1,'%',4X,F5.1,'%',4X,F5.1,'%')\") &\n \" flops max/rank\", REAL(total, KIND=real_8), &\n 100*REAL(report%max_cpu_flop)/REAL(MAX(INT(1, KIND=int_8), total)), &\n 100*REAL(report%max_smm_flop)/REAL(MAX(INT(1, KIND=int_8), total)), &\n 100*REAL(report%max_acc_flop)/REAL(MAX(INT(1, KIND=int_8), total))\n\n total = SUM(report%num_mnk_stacks(1, 4:6))\n WRITE (output_unit, \"(A,T30,I20,5X,F5.1,'%',4X,F5.1,'%',4X,F5.1,'%')\") &\n \" matmuls inhomo. stacks\", total, &\n 100*REAL(report%num_mnk_stacks(1, 4:6))/REAL(MAX(INT(1, KIND=int_8), total))\n\n total = SUM(report%num_mnk_stacks(:, 4:6))\n WRITE (output_unit, \"(A,T30,I20,5X,F5.1,'%',4X,F5.1,'%',4X,F5.1,'%')\") &\n \" matmuls total\", total, &\n 100*REAL(SUM(report%num_mnk_stacks(:, 4:6), DIM=1))/REAL(MAX(INT(1, KIND=int_8), total))\n\n total = report%cpu_num_stacks + report%smm_num_stacks + report%acc_num_stacks\n WRITE (output_unit, \"(A,T30,I20,5X,F5.1,'%',4X,F5.1,'%',4X,F5.1,'%')\") &\n \" number of processed stacks\", total, &\n 100*REAL(report%cpu_num_stacks)/REAL(MAX(INT(1, KIND=int_8), total)), &\n 100*REAL(report%smm_num_stacks)/REAL(MAX(INT(1, KIND=int_8), total)), &\n 100*REAL(report%acc_num_stacks)/REAL(MAX(INT(1, KIND=int_8), total))\n\n WRITE (output_unit, '(A,T51,F9.1,1X,F9.1,1X,F9.1)') \" average stack size\", &\n REAL(SUM(report%num_mnk_stacks(:, 4)))/REAL(MAX(INT(1, KIND=int_8), SUM(report%num_mnk_stacks(:, 7)))), &\n REAL(SUM(report%num_mnk_stacks(:, 5)))/REAL(MAX(INT(1, KIND=int_8), SUM(report%num_mnk_stacks(:, 8)))), &\n REAL(SUM(report%num_mnk_stacks(:, 6)))/REAL(MAX(INT(1, KIND=int_8), SUM(report%num_mnk_stacks(:, 9))))\n\n END SUBROUTINE stats_print_report\n\nEND MODULE dbcsr_mm_sched\n" }, { "path": "src/mm/dbcsr_mm_types.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mm_types\n !! Datatypes used by the dbcsr matrix-matrix multiplication machinery.\n !! Modification history:\n !! - 2013-01 reorganized code (Ole Schuett)\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mm_types'\n\n PUBLIC :: stack_descriptor_type\n\n ! Definitions for the members of a parameter stack.\n INTEGER, PARAMETER, PUBLIC :: dbcsr_ps_width = 7\n INTEGER, PARAMETER, PUBLIC :: dbcsr_ps_acc_width = 3\n INTEGER, PARAMETER, PUBLIC :: p_m = 1\n INTEGER, PARAMETER, PUBLIC :: p_n = 2\n INTEGER, PARAMETER, PUBLIC :: p_k = 3\n INTEGER, PARAMETER, PUBLIC :: p_a_first = 4\n INTEGER, PARAMETER, PUBLIC :: p_b_first = 5\n INTEGER, PARAMETER, PUBLIC :: p_c_first = 6\n INTEGER, PARAMETER, PUBLIC :: p_c_blk = 7\n\n TYPE stack_descriptor_type\n INTEGER :: m = -1, n = -1, k = -1, max_m = -1, max_n = -1, max_k = -1\n LOGICAL :: defined_mnk = .FALSE.\n END TYPE stack_descriptor_type\n\nEND MODULE dbcsr_mm_types\n" }, { "path": "src/mm/dbcsr_multiply_api.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_multiply_api\n USE dbcsr_data_methods, ONLY: dbcsr_scalar\n USE dbcsr_kinds, ONLY: int_8, &\n real_4, &\n real_8\n USE dbcsr_methods, ONLY: dbcsr_get_data_type\n USE dbcsr_mm, ONLY: dbcsr_multiply_generic\n USE dbcsr_types, ONLY: dbcsr_type, &\n dbcsr_type_real_4, &\n dbcsr_type_real_8\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_multiply_api'\n\n PUBLIC :: dbcsr_multiply\n\n INTERFACE dbcsr_multiply\n MODULE PROCEDURE dbcsr_multiply_generic\n MODULE PROCEDURE dbcsr_multiply_s, dbcsr_multiply_d, &\n dbcsr_multiply_c, dbcsr_multiply_z\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE dbcsr_multiply_s(transa, transb, &\n alpha, matrix_a, matrix_b, beta, matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, filter_eps, &\n flop)\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb\n REAL(KIND=real_4), INTENT(IN) :: alpha\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n REAL(KIND=real_4), INTENT(IN) :: beta\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_c\n INTEGER, INTENT(IN), OPTIONAL :: first_row, last_row, first_column, &\n last_column, first_k, last_k\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: flop\n\n CALL dbcsr_multiply_generic(transa, transb, &\n dbcsr_scalar(alpha), matrix_a, matrix_b, dbcsr_scalar(beta), matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, &\n filter_eps=filter_eps, &\n flop=flop)\n END SUBROUTINE dbcsr_multiply_s\n\n SUBROUTINE dbcsr_multiply_d(transa, transb, &\n alpha, matrix_a, matrix_b, beta, matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, filter_eps, &\n flop)\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb\n REAL(KIND=real_8), INTENT(IN) :: alpha\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n REAL(KIND=real_8), INTENT(IN) :: beta\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_c\n INTEGER, INTENT(IN), OPTIONAL :: first_row, last_row, first_column, &\n last_column, first_k, last_k\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: flop\n\n IF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_4 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_real_4 .AND. &\n dbcsr_get_data_type(matrix_c) .EQ. dbcsr_type_real_4) THEN\n CALL dbcsr_multiply_generic(transa, transb, &\n dbcsr_scalar(REAL(alpha, real_4)), matrix_a, matrix_b, &\n dbcsr_scalar(REAL(beta, real_4)), matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, &\n filter_eps=filter_eps, &\n flop=flop)\n ELSEIF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_8 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_real_8 .AND. &\n dbcsr_get_data_type(matrix_c) .EQ. dbcsr_type_real_8) THEN\n CALL dbcsr_multiply_generic(transa, transb, &\n dbcsr_scalar(alpha), matrix_a, matrix_b, dbcsr_scalar(beta), matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, &\n filter_eps=filter_eps, &\n flop=flop)\n ELSE\n DBCSR_ABORT(\"This combination of data types NYI\")\n END IF\n END SUBROUTINE dbcsr_multiply_d\n\n SUBROUTINE dbcsr_multiply_c(transa, transb, &\n alpha, matrix_a, matrix_b, beta, matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, filter_eps, &\n flop)\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb\n COMPLEX(KIND=real_4), INTENT(IN) :: alpha\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n COMPLEX(KIND=real_4), INTENT(IN) :: beta\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_c\n INTEGER, INTENT(IN), OPTIONAL :: first_row, last_row, first_column, &\n last_column, first_k, last_k\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: flop\n\n CALL dbcsr_multiply_generic(transa, transb, &\n dbcsr_scalar(alpha), matrix_a, matrix_b, dbcsr_scalar(beta), matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, &\n filter_eps=filter_eps, &\n flop=flop)\n END SUBROUTINE dbcsr_multiply_c\n\n SUBROUTINE dbcsr_multiply_z(transa, transb, &\n alpha, matrix_a, matrix_b, beta, matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, filter_eps, &\n flop)\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb\n COMPLEX(KIND=real_8), INTENT(IN) :: alpha\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n COMPLEX(KIND=real_8), INTENT(IN) :: beta\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_c\n INTEGER, INTENT(IN), OPTIONAL :: first_row, last_row, first_column, &\n last_column, first_k, last_k\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: flop\n\n CALL dbcsr_multiply_generic(transa, transb, &\n dbcsr_scalar(alpha), matrix_a, matrix_b, dbcsr_scalar(beta), matrix_c, &\n first_row, last_row, first_column, last_column, first_k, last_k, &\n retain_sparsity, &\n filter_eps=filter_eps, &\n flop=flop)\n END SUBROUTINE dbcsr_multiply_z\n\nEND MODULE dbcsr_multiply_api\n" }, { "path": "src/mpi/PACKAGE", "content": "{\n\"description\": \"wrappers of the mpi routines\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../base\", \"../data\", \"../core\"],\n\"implicit\": \"MPI_.*\",\n}\n" }, { "path": "src/mpi/dbcsr_mp_methods.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mp_methods\n USE dbcsr_methods, ONLY: dbcsr_mp_grid_remove, &\n dbcsr_mp_release\n USE dbcsr_mpiwrap, ONLY: mp_cart_create, &\n mp_cart_sub, &\n mp_comm_free, &\n mp_environ, &\n mp_cart_rank, &\n mp_dims_create, &\n mp_comm_null, mp_comm_type\n USE dbcsr_types, ONLY: dbcsr_mp_obj\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mp_methods'\n\n PUBLIC :: dbcsr_mp_new, dbcsr_mp_hold, dbcsr_mp_release, &\n dbcsr_mp_pgrid, dbcsr_mp_numnodes, dbcsr_mp_mynode, dbcsr_mp_group, &\n dbcsr_mp_new_transposed, dbcsr_mp_nprows, dbcsr_mp_npcols, &\n dbcsr_mp_myprow, dbcsr_mp_mypcol, &\n dbcsr_mp_my_row_group, dbcsr_mp_my_col_group, &\n dbcsr_mp_has_subgroups, dbcsr_mp_get_process, &\n dbcsr_mp_grid_setup, dbcsr_mp_grid_remove, &\n dbcsr_mp_init, dbcsr_mp_active, dbcsr_mp_make_env\n\n INTERFACE dbcsr_mp_new\n MODULE PROCEDURE dbcsr_mp_new_grid\n MODULE PROCEDURE dbcsr_mp_new_group\n END INTERFACE dbcsr_mp_new\n\nCONTAINS\n\n SUBROUTINE dbcsr_mp_init(mp_env)\n !! Initializes a new process grid\n TYPE(dbcsr_mp_obj), INTENT(OUT) :: mp_env\n\n NULLIFY (mp_env%mp)\n END SUBROUTINE dbcsr_mp_init\n\n FUNCTION dbcsr_mp_active(mp_env) RESULT(active)\n !! Checks whether this process is part of the message passing environment\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n LOGICAL :: active\n\n active = ASSOCIATED(mp_env%mp)\n END FUNCTION dbcsr_mp_active\n\n SUBROUTINE dbcsr_mp_new_grid(mp_env, mp_group, pgrid, mynode, &\n numnodes, myprow, mypcol, source)\n !! Creates new process grid\n\n TYPE(dbcsr_mp_obj), INTENT(OUT) :: mp_env\n !! multiprocessor environment\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n INTEGER, INTENT(IN) :: mynode\n !! my processor number\n INTEGER, DIMENSION(0:, 0:), INTENT(IN) :: pgrid\n !! process grid\n INTEGER, INTENT(IN), OPTIONAL :: numnodes, myprow, mypcol, source\n !! total number of processors (processes)\n\n INTEGER :: pcol, prow\n\n! ---------------------------------------------------------------------------\n\n ALLOCATE (mp_env%mp)\n mp_env%mp%refcount = 1\n ALLOCATE (mp_env%mp%pgrid(0:SIZE(pgrid, 1) - 1, 0:SIZE(pgrid, 2) - 1))\n mp_env%mp%pgrid(:, :) = pgrid(:, :)\n mp_env%mp%mynode = mynode\n mp_env%mp%mp_group = mp_group\n mp_env%mp%source = 0\n IF (PRESENT(source)) mp_env%mp%source = source\n IF (PRESENT(numnodes)) THEN\n mp_env%mp%numnodes = numnodes\n ELSE\n mp_env%mp%numnodes = SIZE(pgrid)\n END IF\n IF (PRESENT(myprow) .AND. PRESENT(mypcol)) THEN\n mp_env%mp%myprow = myprow\n mp_env%mp%mypcol = mypcol\n ELSE\n mp_env%mp%myprow = -33777\n mp_env%mp%mypcol = -33777\n column_loop: DO pcol = LBOUND(pgrid, 2), UBOUND(pgrid, 2)\n row_loop: DO prow = LBOUND(pgrid, 1), UBOUND(pgrid, 1)\n test_position: IF (pgrid(prow, pcol) .EQ. mynode) THEN\n mp_env%mp%myprow = prow\n mp_env%mp%mypcol = pcol\n EXIT column_loop\n END IF test_position\n END DO row_loop\n END DO column_loop\n END IF\n mp_env%mp%subgroups_defined = .FALSE.\n !call dbcsr_mp_grid_setup(mp_env)\n END SUBROUTINE dbcsr_mp_new_grid\n\n SUBROUTINE dbcsr_mp_new_group(mp_env, mp_group, pgrid)\n !! Creates a new dbcsr_mp_obj based on a input template\n\n TYPE(dbcsr_mp_obj), INTENT(OUT) :: mp_env\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n INTEGER, DIMENSION(:, :), OPTIONAL, POINTER :: pgrid\n !! Optional, if not provided group is assumed to be a 2D cartesian communicator\n\n INTEGER :: mynode, mypcol, myprow, numnodes, pcol, &\n prow\n INTEGER, DIMENSION(2) :: coord, mycoord, pdims\n INTEGER, DIMENSION(:, :), POINTER :: mypgrid\n LOGICAL, DIMENSION(2) :: periods\n\n CALL mp_environ(numnodes, mynode, mp_group)\n\n IF (PRESENT(pgrid)) THEN\n mypgrid => pgrid\n DBCSR_ASSERT(LBOUND(pgrid, 1) == 0 .AND. LBOUND(pgrid, 2) == 0)\n pdims(1) = SIZE(pgrid, 1)\n pdims(2) = SIZE(pgrid, 2)\n myprow = -1; mypcol = -1\n outer: &\n DO prow = 0, pdims(1) - 1\n DO pcol = 0, pdims(2) - 1\n IF (pgrid(prow, pcol) == mynode) THEN\n myprow = prow\n mypcol = pcol\n EXIT outer\n END IF\n END DO\n END DO outer\n\n ELSE\n CALL mp_environ(mp_group, 2, pdims, mycoord, periods)\n DBCSR_ASSERT(pdims(1)*pdims(2) == numnodes)\n myprow = mycoord(1)\n mypcol = mycoord(2)\n ALLOCATE (mypgrid(0:pdims(1) - 1, 0:pdims(2) - 1))\n DO prow = 0, pdims(1) - 1\n DO pcol = 0, pdims(2) - 1\n coord = (/prow, pcol/)\n CALL mp_cart_rank(mp_group, coord, mypgrid(prow, pcol))\n END DO\n END DO\n END IF\n\n DBCSR_ASSERT(mynode == mypgrid(myprow, mypcol))\n\n ! create the new mp environment\n CALL dbcsr_mp_new(mp_env, mp_group, mypgrid, &\n mynode=mynode, numnodes=numnodes, myprow=myprow, mypcol=mypcol)\n\n IF (.NOT. PRESENT(pgrid)) DEALLOCATE (mypgrid)\n\n END SUBROUTINE dbcsr_mp_new_group\n\n SUBROUTINE dbcsr_mp_grid_setup(mp_env)\n !! Sets up MPI cartesian process grid\n\n TYPE(dbcsr_mp_obj), INTENT(INOUT) :: mp_env\n !! multiprocessor environment\n\n INTEGER :: ndims\n INTEGER, DIMENSION(2) :: dims, my_pos\n LOGICAL, DIMENSION(2) :: remain\n TYPE(mp_comm_type) :: tmp_group\n\n! ---------------------------------------------------------------------------\n\n IF (.NOT. mp_env%mp%subgroups_defined) THEN\n ! KG workaround.\n ! This will be deleted (replaced by code in mp_new).\n ndims = 2\n dims(1:2) = (/SIZE(mp_env%mp%pgrid, 1), SIZE(mp_env%mp%pgrid, 2)/)\n CALL mp_cart_create(mp_env%mp%mp_group, ndims, &\n dims, my_pos, &\n tmp_group)\n IF (my_pos(1) .NE. mp_env%mp%myprow) &\n DBCSR_ABORT(\"Got different MPI process grid\")\n IF (my_pos(2) .NE. mp_env%mp%mypcol) &\n DBCSR_ABORT(\"Got different MPI process grid\")\n !\n remain = (/.FALSE., .TRUE./)\n CALL mp_cart_sub(tmp_group, remain, mp_env%mp%prow_group)\n remain = (/.TRUE., .FALSE./)\n CALL mp_cart_sub(tmp_group, remain, mp_env%mp%pcol_group)\n CALL mp_comm_free(tmp_group)\n mp_env%mp%subgroups_defined = .TRUE.\n END IF\n END SUBROUTINE dbcsr_mp_grid_setup\n\n SUBROUTINE dbcsr_mp_make_env(mp_env, cart_group, mp_group, &\n nprocs, pgrid_dims)\n !! Creates a sane mp_obj from the given MPI comm that is not a cartesian one (hack)\n\n TYPE(dbcsr_mp_obj), INTENT(OUT) :: mp_env\n !! Message-passing environment object to create\n TYPE(mp_comm_type), INTENT(OUT) :: cart_group\n !! the created cartesian group (to be freed by the user)\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n !! MPI group\n INTEGER, INTENT(IN), OPTIONAL :: nprocs\n !! Number of processes\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: pgrid_dims\n !! Dimensions of MPI group\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_mp_make_env'\n\n INTEGER :: error_handle, mynode, numnodes, pcol, &\n prow\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: pgrid\n INTEGER, DIMENSION(2) :: coord, myploc, npdims\n LOGICAL :: alive\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n CALL mp_environ(numnodes, mynode, mp_group)\n IF (PRESENT(nprocs)) THEN\n IF (nprocs > numnodes) &\n DBCSR_ABORT(\"Can not grow processes.\")\n numnodes = nprocs\n END IF\n !\n IF (PRESENT(pgrid_dims)) THEN\n npdims(:) = pgrid_dims\n ELSE\n npdims(:) = 0\n CALL mp_dims_create(numnodes, npdims)\n END IF\n CALL mp_cart_create(mp_group, 2, npdims, myploc, cart_group)\n alive = cart_group .NE. mp_comm_null\n IF (alive) THEN\n CALL mp_environ(numnodes, mynode, cart_group)\n ALLOCATE (pgrid(0:npdims(1) - 1, 0:npdims(2) - 1))\n DO prow = 0, npdims(1) - 1\n DO pcol = 0, npdims(2) - 1\n coord = (/prow, pcol/)\n CALL mp_cart_rank(cart_group, coord, pgrid(prow, pcol))\n END DO\n END DO\n CALL dbcsr_mp_new(mp_env, cart_group, pgrid, &\n mynode, numnodes, &\n myprow=myploc(1), mypcol=myploc(2))\n ELSE\n CALL dbcsr_mp_init(mp_env)\n END IF\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_mp_make_env\n\n PURE SUBROUTINE dbcsr_mp_hold(mp_env)\n !! Marks another use of the mp_env\n\n TYPE(dbcsr_mp_obj), INTENT(INOUT) :: mp_env\n !! multiprocessor environment\n\n mp_env%mp%refcount = mp_env%mp%refcount + 1\n END SUBROUTINE dbcsr_mp_hold\n\n PURE FUNCTION dbcsr_mp_get_process(mp_env, prow, pcol) RESULT(process)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, INTENT(IN) :: prow, pcol\n INTEGER :: process\n\n process = mp_env%mp%pgrid(prow, pcol)\n END FUNCTION dbcsr_mp_get_process\n\n FUNCTION dbcsr_mp_pgrid(mp_env) RESULT(pgrid)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(:, :), POINTER, CONTIGUOUS :: pgrid\n\n pgrid => mp_env%mp%pgrid\n END FUNCTION dbcsr_mp_pgrid\n\n PURE FUNCTION dbcsr_mp_numnodes(mp_env) RESULT(numnodes)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER :: numnodes\n\n numnodes = mp_env%mp%numnodes\n END FUNCTION dbcsr_mp_numnodes\n\n PURE FUNCTION dbcsr_mp_mynode(mp_env) RESULT(mynode)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER :: mynode\n\n mynode = mp_env%mp%mynode\n END FUNCTION dbcsr_mp_mynode\n\n PURE FUNCTION dbcsr_mp_group(mp_env) RESULT(mp_group)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n TYPE(mp_comm_type) :: mp_group\n\n mp_group = mp_env%mp%mp_group\n END FUNCTION dbcsr_mp_group\n\n PURE FUNCTION dbcsr_mp_nprows(mp_env) RESULT(nprows)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER :: nprows\n\n nprows = SIZE(mp_env%mp%pgrid, 1)\n END FUNCTION dbcsr_mp_nprows\n\n PURE FUNCTION dbcsr_mp_npcols(mp_env) RESULT(npcols)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER :: npcols\n\n npcols = SIZE(mp_env%mp%pgrid, 2)\n END FUNCTION dbcsr_mp_npcols\n\n PURE FUNCTION dbcsr_mp_myprow(mp_env) RESULT(myprow)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER :: myprow\n\n myprow = mp_env%mp%myprow\n END FUNCTION dbcsr_mp_myprow\n\n PURE FUNCTION dbcsr_mp_mypcol(mp_env) RESULT(mypcol)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER :: mypcol\n\n mypcol = mp_env%mp%mypcol\n END FUNCTION dbcsr_mp_mypcol\n\n PURE FUNCTION dbcsr_mp_has_subgroups(mp_env) RESULT(has_subgroups)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n LOGICAL :: has_subgroups\n\n has_subgroups = mp_env%mp%subgroups_defined\n END FUNCTION dbcsr_mp_has_subgroups\n\n PURE FUNCTION dbcsr_mp_my_row_group(mp_env) RESULT(row_group)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n TYPE(mp_comm_type) :: row_group\n\n row_group = mp_env%mp%prow_group\n END FUNCTION dbcsr_mp_my_row_group\n\n PURE FUNCTION dbcsr_mp_my_col_group(mp_env) RESULT(col_group)\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n TYPE(mp_comm_type) :: col_group\n\n col_group = mp_env%mp%pcol_group\n END FUNCTION dbcsr_mp_my_col_group\n\n SUBROUTINE dbcsr_mp_new_transposed(mp_t, mp)\n !! Transposes a multiprocessor environment\n\n TYPE(dbcsr_mp_obj), INTENT(OUT) :: mp_t\n !! transposed multiprocessor environment\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp\n !! original multiprocessor environment\n\n CALL dbcsr_mp_new(mp_t, dbcsr_mp_group(mp), &\n TRANSPOSE(dbcsr_mp_pgrid(mp)), &\n dbcsr_mp_mynode(mp), dbcsr_mp_numnodes(mp), &\n dbcsr_mp_mypcol(mp), dbcsr_mp_myprow(mp))\n END SUBROUTINE dbcsr_mp_new_transposed\n\nEND MODULE dbcsr_mp_methods\n" }, { "path": "src/mpi/dbcsr_mp_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mp_operations\n !! Wrappers to message passing calls.\n\n USE dbcsr_config, ONLY: has_MPI\n USE dbcsr_data_methods, ONLY: dbcsr_data_get_type\n USE dbcsr_mp_methods, ONLY: &\n dbcsr_mp_get_process, dbcsr_mp_grid_setup, dbcsr_mp_group, dbcsr_mp_has_subgroups, &\n dbcsr_mp_my_col_group, dbcsr_mp_my_row_group, dbcsr_mp_mynode, dbcsr_mp_mypcol, &\n dbcsr_mp_myprow, dbcsr_mp_npcols, dbcsr_mp_nprows, dbcsr_mp_numnodes, dbcsr_mp_pgrid\n USE dbcsr_ptr_util, ONLY: memory_copy\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_mp_obj, &\n dbcsr_type_complex_4, &\n dbcsr_type_complex_8, &\n dbcsr_type_int_4, &\n dbcsr_type_real_4, &\n dbcsr_type_real_8\n USE dbcsr_kinds, ONLY: real_4, &\n real_8\n USE dbcsr_mpiwrap, ONLY: &\n mp_allgather, mp_alltoall, mp_gatherv, mp_ibcast, mp_irecv, mp_iscatter, mp_isend, &\n mp_isendrecv, mp_rget, mp_sendrecv, mp_type_descriptor_type, mp_type_indexed_make_c, &\n mp_type_indexed_make_d, mp_type_indexed_make_r, mp_type_indexed_make_z, mp_type_make, &\n mp_waitall, mp_win_create, mp_comm_type, mp_request_type, mp_win_type\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mp_operations'\n\n ! MP routines\n PUBLIC :: hybrid_alltoall_s1, hybrid_alltoall_d1, &\n hybrid_alltoall_c1, hybrid_alltoall_z1, &\n hybrid_alltoall_i1, hybrid_alltoall_any\n PUBLIC :: dbcsr_allgatherv\n PUBLIC :: dbcsr_sendrecv_any\n PUBLIC :: dbcsr_isend_any, dbcsr_irecv_any\n PUBLIC :: dbcsr_win_create_any, dbcsr_rget_any, dbcsr_ibcast_any\n PUBLIC :: dbcsr_iscatterv_any, dbcsr_gatherv_any\n PUBLIC :: dbcsr_isendrecv_any\n ! Type helpers\n PUBLIC :: dbcsr_mp_type_from_anytype\n\n INTERFACE dbcsr_hybrid_alltoall\n MODULE PROCEDURE hybrid_alltoall_s1, hybrid_alltoall_d1, &\n hybrid_alltoall_c1, hybrid_alltoall_z1\n MODULE PROCEDURE hybrid_alltoall_i1\n MODULE PROCEDURE hybrid_alltoall_any\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE hybrid_alltoall_any(sb, scount, sdispl, &\n rb, rcount, rdispl, mp_env, most_ptp, remainder_ptp, no_hybrid)\n TYPE(dbcsr_data_obj), INTENT(IN) :: sb\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: scount, sdispl\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: rb\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: rcount, rdispl\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n LOGICAL, INTENT(in), OPTIONAL :: most_ptp, remainder_ptp, no_hybrid\n\n CHARACTER(len=*), PARAMETER :: routineN = 'hybrid_alltoall_any'\n\n INTEGER :: error_handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n\n SELECT CASE (dbcsr_data_get_type(sb))\n CASE (dbcsr_type_real_4)\n CALL hybrid_alltoall_s1(sb%d%r_sp, scount, sdispl, &\n rb%d%r_sp, rcount, rdispl, mp_env, &\n most_ptp, remainder_ptp, no_hybrid)\n CASE (dbcsr_type_real_8)\n CALL hybrid_alltoall_d1(sb%d%r_dp, scount, sdispl, &\n rb%d%r_dp, rcount, rdispl, mp_env, &\n most_ptp, remainder_ptp, no_hybrid)\n CASE (dbcsr_type_complex_4)\n CALL hybrid_alltoall_c1(sb%d%c_sp, scount, sdispl, &\n rb%d%c_sp, rcount, rdispl, mp_env, &\n most_ptp, remainder_ptp, no_hybrid)\n CASE (dbcsr_type_complex_8)\n CALL hybrid_alltoall_z1(sb%d%c_dp, scount, sdispl, &\n rb%d%c_dp, rcount, rdispl, mp_env, &\n most_ptp, remainder_ptp, no_hybrid)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n\n CALL timestop(error_handle)\n END SUBROUTINE hybrid_alltoall_any\n\n SUBROUTINE hybrid_alltoall_i1(sb, scount, sdispl, &\n rb, rcount, rdispl, mp_env, most_ptp, remainder_ptp, no_hybrid)\n !! Row/column and global all-to-all\n !!\n !! Communicator selection\n !! Uses row and column communicators for row/column\n !! sends. Remaining sends are performed using the global\n !! communicator. Point-to-point isend/irecv are used if ptp is\n !! set, otherwise a alltoall collective call is issued.\n !! see mp_alltoall\n\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(in), &\n TARGET :: sb\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: scount, sdispl\n INTEGER, DIMENSION(:), CONTIGUOUS, &\n INTENT(INOUT), TARGET :: rb\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: rcount, rdispl\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n !! MP Environment\n LOGICAL, INTENT(IN), OPTIONAL :: most_ptp, remainder_ptp, &\n no_hybrid\n !! Use point-to-point for row/column; default is no\n !! Use point-to-point for remaining; default is no\n !! Use regular global collective; default is no\n\n INTEGER :: mynode, mypcol, myprow, nall_rr, nall_sr, ncol_rr, &\n ncol_sr, npcols, nprows, nrow_rr, nrow_sr, numnodes, dst, src, &\n prow, pcol, send_cnt, recv_cnt, tag, i\n INTEGER, ALLOCATABLE, DIMENSION(:) :: new_rcount, new_rdispl, new_scount, new_sdispl\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n LOGICAL :: most_collective, &\n remainder_collective, no_h\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: send_data_p, recv_data_p\n TYPE(dbcsr_mp_obj) :: mpe\n TYPE(mp_comm_type) :: all_group, grp\n TYPE(mp_request_type), ALLOCATABLE, DIMENSION(:) :: all_rr, all_sr, col_rr, col_sr, row_rr, row_sr\n\n IF (.NOT. dbcsr_mp_has_subgroups(mp_env)) THEN\n mpe = mp_env\n CALL dbcsr_mp_grid_setup(mpe)\n END IF\n most_collective = .TRUE.\n remainder_collective = .TRUE.\n no_h = .FALSE.\n IF (PRESENT(most_ptp)) most_collective = .NOT. most_ptp\n IF (PRESENT(remainder_ptp)) remainder_collective = .NOT. remainder_ptp\n IF (PRESENT(no_hybrid)) no_h = no_hybrid\n all_group = dbcsr_mp_group(mp_env)\n ! Don't use subcommunicators if they're not defined.\n no_h = no_h .OR. .NOT. dbcsr_mp_has_subgroups(mp_env) .OR. .NOT. has_MPI\n subgrouped: IF (mp_env%mp%subgroups_defined .AND. .NOT. no_h) THEN\n mynode = dbcsr_mp_mynode(mp_env)\n numnodes = dbcsr_mp_numnodes(mp_env)\n nprows = dbcsr_mp_nprows(mp_env)\n npcols = dbcsr_mp_npcols(mp_env)\n myprow = dbcsr_mp_myprow(mp_env)\n mypcol = dbcsr_mp_mypcol(mp_env)\n pgrid => dbcsr_mp_pgrid(mp_env)\n ALLOCATE (row_sr(0:npcols - 1)); nrow_sr = 0\n ALLOCATE (row_rr(0:npcols - 1)); nrow_rr = 0\n ALLOCATE (col_sr(0:nprows - 1)); ncol_sr = 0\n ALLOCATE (col_rr(0:nprows - 1)); ncol_rr = 0\n ALLOCATE (all_sr(0:numnodes - 1)); nall_sr = 0\n ALLOCATE (all_rr(0:numnodes - 1)); nall_rr = 0\n ALLOCATE (new_scount(numnodes), new_rcount(numnodes))\n ALLOCATE (new_sdispl(numnodes), new_rdispl(numnodes))\n IF (.NOT. remainder_collective) THEN\n CALL remainder_point_to_point()\n END IF\n IF (.NOT. most_collective) THEN\n CALL most_point_to_point()\n ELSE\n CALL most_alltoall()\n END IF\n IF (remainder_collective) THEN\n CALL remainder_alltoall()\n END IF\n ! Wait for all issued sends and receives.\n IF (.NOT. most_collective) THEN\n CALL mp_waitall(row_sr(0:nrow_sr - 1))\n CALL mp_waitall(col_sr(0:ncol_sr - 1))\n CALL mp_waitall(row_rr(0:nrow_rr - 1))\n CALL mp_waitall(col_rr(0:ncol_rr - 1))\n END IF\n IF (.NOT. remainder_collective) THEN\n CALL mp_waitall(all_sr(1:nall_sr))\n CALL mp_waitall(all_rr(1:nall_rr))\n END IF\n ELSE\n CALL mp_alltoall(sb, scount, sdispl, &\n rb, rcount, rdispl, &\n all_group)\n END IF subgrouped\n CONTAINS\n SUBROUTINE most_alltoall()\n DO pcol = 0, npcols - 1\n new_scount(1 + pcol) = scount(1 + pgrid(myprow, pcol))\n new_rcount(1 + pcol) = rcount(1 + pgrid(myprow, pcol))\n new_sdispl(1 + pcol) = sdispl(1 + pgrid(myprow, pcol))\n new_rdispl(1 + pcol) = rdispl(1 + pgrid(myprow, pcol))\n END DO\n CALL mp_alltoall(sb, new_scount(1:npcols), new_sdispl(1:npcols), &\n rb, new_rcount(1:npcols), new_rdispl(1:npcols), &\n dbcsr_mp_my_row_group(mp_env))\n DO prow = 0, nprows - 1\n new_scount(1 + prow) = scount(1 + pgrid(prow, mypcol))\n new_rcount(1 + prow) = rcount(1 + pgrid(prow, mypcol))\n new_sdispl(1 + prow) = sdispl(1 + pgrid(prow, mypcol))\n new_rdispl(1 + prow) = rdispl(1 + pgrid(prow, mypcol))\n END DO\n CALL mp_alltoall(sb, new_scount(1:nprows), new_sdispl(1:nprows), &\n rb, new_rcount(1:nprows), new_rdispl(1:nprows), &\n dbcsr_mp_my_col_group(mp_env))\n END SUBROUTINE most_alltoall\n SUBROUTINE most_point_to_point()\n ! Go through my prow and exchange.\n DO i = 0, npcols - 1\n pcol = MOD(mypcol + i, npcols)\n grp = dbcsr_mp_my_row_group(mp_env)\n !\n dst = dbcsr_mp_get_process(mp_env, myprow, pcol)\n send_cnt = scount(dst + 1)\n send_data_p => sb(1 + sdispl(dst + 1):1 + sdispl(dst + 1) + send_cnt - 1)\n tag = 4*mypcol\n IF (send_cnt .GT. 0) THEN\n CALL mp_isend(send_data_p, pcol, grp, row_sr(nrow_sr), tag)\n nrow_sr = nrow_sr + 1\n END IF\n !\n pcol = MODULO(mypcol - i, npcols)\n src = dbcsr_mp_get_process(mp_env, myprow, pcol)\n recv_cnt = rcount(src + 1)\n recv_data_p => rb(1 + rdispl(src + 1):1 + rdispl(src + 1) + recv_cnt - 1)\n tag = 4*pcol\n IF (recv_cnt .GT. 0) THEN\n CALL mp_irecv(recv_data_p, pcol, grp, row_rr(nrow_rr), tag)\n nrow_rr = nrow_rr + 1\n END IF\n END DO\n ! go through my pcol and exchange\n DO i = 0, nprows - 1\n prow = MOD(myprow + i, nprows)\n grp = dbcsr_mp_my_col_group(mp_env)\n !\n dst = dbcsr_mp_get_process(mp_env, prow, mypcol)\n send_cnt = scount(dst + 1)\n IF (send_cnt .GT. 0) THEN\n send_data_p => sb(1 + sdispl(dst + 1):1 + sdispl(dst + 1) + send_cnt - 1)\n tag = 4*myprow + 1\n CALL mp_isend(send_data_p, prow, grp, col_sr(ncol_sr), tag)\n ncol_sr = ncol_sr + 1\n END IF\n !\n prow = MODULO(myprow - i, nprows)\n src = dbcsr_mp_get_process(mp_env, prow, mypcol)\n recv_cnt = rcount(src + 1)\n IF (recv_cnt .GT. 0) THEN\n recv_data_p => rb(1 + rdispl(src + 1):1 + rdispl(src + 1) + recv_cnt - 1)\n tag = 4*prow + 1\n CALL mp_irecv(recv_data_p, prow, grp, col_rr(ncol_rr), tag)\n ncol_rr = ncol_rr + 1\n END IF\n END DO\n END SUBROUTINE most_point_to_point\n SUBROUTINE remainder_alltoall()\n new_scount(:) = scount(:)\n new_rcount(:) = rcount(:)\n DO prow = 0, nprows - 1\n new_scount(1 + pgrid(prow, mypcol)) = 0\n new_rcount(1 + pgrid(prow, mypcol)) = 0\n END DO\n DO pcol = 0, npcols - 1\n new_scount(1 + pgrid(myprow, pcol)) = 0\n new_rcount(1 + pgrid(myprow, pcol)) = 0\n END DO\n CALL mp_alltoall(sb, new_scount, sdispl, &\n rb, new_rcount, rdispl, all_group)\n END SUBROUTINE remainder_alltoall\n SUBROUTINE remainder_point_to_point()\n INTEGER :: col, row\n\n DO row = 0, nprows - 1\n prow = MOD(row + myprow, nprows)\n IF (prow .EQ. myprow) CYCLE\n DO col = 0, npcols - 1\n pcol = MOD(col + mypcol, npcols)\n IF (pcol .EQ. mypcol) CYCLE\n dst = dbcsr_mp_get_process(mp_env, prow, pcol)\n send_cnt = scount(dst + 1)\n IF (send_cnt .GT. 0) THEN\n tag = 4*mynode + 2\n send_data_p => sb(1 + sdispl(dst + 1):1 + sdispl(dst + 1) + send_cnt - 1)\n CALL mp_isend(send_data_p, dst, all_group, all_sr(nall_sr + 1), tag)\n nall_sr = nall_sr + 1\n END IF\n !\n src = dbcsr_mp_get_process(mp_env, prow, pcol)\n recv_cnt = rcount(src + 1)\n IF (recv_cnt .GT. 0) THEN\n recv_data_p => rb(1 + rdispl(src + 1):1 + rdispl(src + 1) + recv_cnt - 1)\n tag = 4*src + 2\n CALL mp_irecv(recv_data_p, src, all_group, all_rr(nall_rr + 1), tag)\n nall_rr = nall_rr + 1\n END IF\n END DO\n END DO\n END SUBROUTINE remainder_point_to_point\n END SUBROUTINE hybrid_alltoall_i1\n\n FUNCTION dbcsr_mp_type_from_anytype(data_area) RESULT(mp_type)\n !! Creates an MPI combined type from the given anytype.\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: data_area\n !! Data area of any type\n TYPE(mp_type_descriptor_type) :: mp_type\n !! Type descriptor\n\n SELECT CASE (data_area%d%data_type)\n CASE (dbcsr_type_int_4)\n mp_type = mp_type_make(data_area%d%i4)\n CASE (dbcsr_type_real_4)\n mp_type = mp_type_make(data_area%d%r_sp)\n CASE (dbcsr_type_real_8)\n mp_type = mp_type_make(data_area%d%r_dp)\n CASE (dbcsr_type_complex_4)\n mp_type = mp_type_make(data_area%d%c_sp)\n CASE (dbcsr_type_complex_8)\n mp_type = mp_type_make(data_area%d%c_dp)\n END SELECT\n END FUNCTION dbcsr_mp_type_from_anytype\n\n SUBROUTINE dbcsr_sendrecv_any(msgin, dest, msgout, source, comm)\n !! sendrecv of encapsulated data.\n !! @note\n !! see mp_sendrecv\n !! @endnote\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: msgin\n INTEGER, INTENT(IN) :: dest\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: msgout\n INTEGER, INTENT(IN) :: source\n TYPE(mp_comm_type), INTENT(IN) :: comm\n\n IF (dbcsr_data_get_type(msgin) .NE. dbcsr_data_get_type(msgout)) &\n DBCSR_ABORT(\"Different data type for msgin and msgout\")\n\n SELECT CASE (dbcsr_data_get_type(msgin))\n CASE (dbcsr_type_real_4)\n CALL mp_sendrecv(msgin%d%r_sp, dest, msgout%d%r_sp, source, comm)\n CASE (dbcsr_type_real_8)\n CALL mp_sendrecv(msgin%d%r_dp, dest, msgout%d%r_dp, source, comm)\n CASE (dbcsr_type_complex_4)\n CALL mp_sendrecv(msgin%d%c_sp, dest, msgout%d%c_sp, source, comm)\n CASE (dbcsr_type_complex_8)\n CALL mp_sendrecv(msgin%d%c_dp, dest, msgout%d%c_dp, source, comm)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_sendrecv_any\n\n SUBROUTINE dbcsr_isend_any(msgin, dest, comm, request, tag)\n !! Non-blocking send of encapsulated data.\n !! @note\n !! see mp_isend_iv\n !! @endnote\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: msgin\n INTEGER, INTENT(IN) :: dest\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_request_type), INTENT(OUT) :: request\n INTEGER, INTENT(IN), OPTIONAL :: tag\n\n SELECT CASE (dbcsr_data_get_type(msgin))\n CASE (dbcsr_type_real_4)\n CALL mp_isend(msgin%d%r_sp, dest, comm, request, tag)\n CASE (dbcsr_type_real_8)\n CALL mp_isend(msgin%d%r_dp, dest, comm, request, tag)\n CASE (dbcsr_type_complex_4)\n CALL mp_isend(msgin%d%c_sp, dest, comm, request, tag)\n CASE (dbcsr_type_complex_8)\n CALL mp_isend(msgin%d%c_dp, dest, comm, request, tag)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_isend_any\n\n SUBROUTINE dbcsr_irecv_any(msgin, source, comm, request, tag)\n !! Non-blocking recv of encapsulated data.\n !! @note\n !! see mp_irecv_iv\n !! @endnote\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: msgin\n INTEGER, INTENT(IN) :: source\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_request_type), INTENT(OUT) :: request\n INTEGER, INTENT(IN), OPTIONAL :: tag\n\n SELECT CASE (dbcsr_data_get_type(msgin))\n CASE (dbcsr_type_real_4)\n CALL mp_irecv(msgin%d%r_sp, source, comm, request, tag)\n CASE (dbcsr_type_real_8)\n CALL mp_irecv(msgin%d%r_dp, source, comm, request, tag)\n CASE (dbcsr_type_complex_4)\n CALL mp_irecv(msgin%d%c_sp, source, comm, request, tag)\n CASE (dbcsr_type_complex_8)\n CALL mp_irecv(msgin%d%c_dp, source, comm, request, tag)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_irecv_any\n\n SUBROUTINE dbcsr_win_create_any(base, comm, win)\n !! Window initialization function of encapsulated data.\n TYPE(dbcsr_data_obj), INTENT(IN) :: base\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_win_type), INTENT(OUT) :: win\n\n SELECT CASE (dbcsr_data_get_type(base))\n CASE (dbcsr_type_real_4)\n CALL mp_win_create(base%d%r_sp, comm, win)\n CASE (dbcsr_type_real_8)\n CALL mp_win_create(base%d%r_dp, comm, win)\n CASE (dbcsr_type_complex_4)\n CALL mp_win_create(base%d%c_sp, comm, win)\n CASE (dbcsr_type_complex_8)\n CALL mp_win_create(base%d%c_dp, comm, win)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_win_create_any\n\n SUBROUTINE dbcsr_rget_any(base, source, win, win_data, myproc, disp, request, &\n !! Single-sided Get function of encapsulated data.\n origin_datatype, target_datatype)\n TYPE(dbcsr_data_obj), INTENT(IN) :: base\n INTEGER, INTENT(IN) :: source\n TYPE(mp_win_type), INTENT(IN) :: win\n TYPE(dbcsr_data_obj), INTENT(IN) :: win_data\n INTEGER, INTENT(IN), OPTIONAL :: myproc, disp\n TYPE(mp_request_type), INTENT(OUT) :: request\n TYPE(mp_type_descriptor_type), INTENT(IN), &\n OPTIONAL :: origin_datatype, target_datatype\n\n IF (dbcsr_data_get_type(base) /= dbcsr_data_get_type(win_data)) &\n DBCSR_ABORT(\"Mismatch data type between buffer and window\")\n\n SELECT CASE (dbcsr_data_get_type(base))\n CASE (dbcsr_type_real_4)\n CALL mp_rget(base%d%r_sp, source, win, win_data%d%r_sp, myproc, &\n disp, request, origin_datatype, target_datatype)\n CASE (dbcsr_type_real_8)\n CALL mp_rget(base%d%r_dp, source, win, win_data%d%r_dp, myproc, &\n disp, request, origin_datatype, target_datatype)\n CASE (dbcsr_type_complex_4)\n CALL mp_rget(base%d%c_sp, source, win, win_data%d%c_sp, myproc, &\n disp, request, origin_datatype, target_datatype)\n CASE (dbcsr_type_complex_8)\n CALL mp_rget(base%d%c_dp, source, win, win_data%d%c_dp, myproc, &\n disp, request, origin_datatype, target_datatype)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_rget_any\n\n SUBROUTINE dbcsr_ibcast_any(base, source, grp, request)\n !! Bcast function of encapsulated data.\n TYPE(dbcsr_data_obj), INTENT(IN) :: base\n INTEGER, INTENT(IN) :: source\n TYPE(mp_comm_type), INTENT(IN) :: grp\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n SELECT CASE (dbcsr_data_get_type(base))\n CASE (dbcsr_type_real_4)\n CALL mp_ibcast(base%d%r_sp, source, grp, request)\n CASE (dbcsr_type_real_8)\n CALL mp_ibcast(base%d%r_dp, source, grp, request)\n CASE (dbcsr_type_complex_4)\n CALL mp_ibcast(base%d%c_sp, source, grp, request)\n CASE (dbcsr_type_complex_8)\n CALL mp_ibcast(base%d%c_dp, source, grp, request)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_ibcast_any\n\n SUBROUTINE dbcsr_iscatterv_any(base, counts, displs, msg, recvcount, root, grp, request)\n !! Scatter function of encapsulated data.\n TYPE(dbcsr_data_obj), INTENT(IN) :: base\n INTEGER, DIMENSION(:), INTENT(IN), CONTIGUOUS :: counts, displs\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: msg\n INTEGER, INTENT(IN) :: recvcount, root\n TYPE(mp_comm_type), INTENT(IN) :: grp\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n IF (dbcsr_data_get_type(base) .NE. dbcsr_data_get_type(msg)) &\n DBCSR_ABORT(\"Different data type for msgin and msgout\")\n\n SELECT CASE (dbcsr_data_get_type(base))\n CASE (dbcsr_type_real_4)\n CALL mp_iscatter(base%d%r_sp, counts, displs, msg%d%r_sp, recvcount, root, grp, request)\n CASE (dbcsr_type_real_8)\n CALL mp_iscatter(base%d%r_dp, counts, displs, msg%d%r_dp, recvcount, root, grp, request)\n CASE (dbcsr_type_complex_4)\n CALL mp_iscatter(base%d%c_sp, counts, displs, msg%d%c_sp, recvcount, root, grp, request)\n CASE (dbcsr_type_complex_8)\n CALL mp_iscatter(base%d%c_dp, counts, displs, msg%d%c_dp, recvcount, root, grp, request)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_iscatterv_any\n\n SUBROUTINE dbcsr_gatherv_any(base, ub_base, msg, counts, displs, root, grp)\n !! Gather function of encapsulated data.\n TYPE(dbcsr_data_obj), INTENT(IN) :: base\n INTEGER, INTENT(IN) :: ub_base\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: msg\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: counts, displs\n INTEGER, INTENT(IN) :: root\n TYPE(mp_comm_type), INTENT(IN) :: grp\n\n IF (dbcsr_data_get_type(base) .NE. dbcsr_data_get_type(msg)) &\n DBCSR_ABORT(\"Different data type for msgin and msgout\")\n\n SELECT CASE (dbcsr_data_get_type(base))\n CASE (dbcsr_type_real_4)\n CALL mp_gatherv(base%d%r_sp(:ub_base), msg%d%r_sp, counts, displs, root, grp)\n CASE (dbcsr_type_real_8)\n CALL mp_gatherv(base%d%r_dp(:ub_base), msg%d%r_dp, counts, displs, root, grp)\n CASE (dbcsr_type_complex_4)\n CALL mp_gatherv(base%d%c_sp(:ub_base), msg%d%c_sp, counts, displs, root, grp)\n CASE (dbcsr_type_complex_8)\n CALL mp_gatherv(base%d%c_dp(:ub_base), msg%d%c_dp, counts, displs, root, grp)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_gatherv_any\n\n SUBROUTINE dbcsr_isendrecv_any(msgin, dest, msgout, source, grp, send_request, recv_request)\n !! Send/Recv function of encapsulated data.\n TYPE(dbcsr_data_obj), INTENT(IN) :: msgin\n INTEGER, INTENT(IN) :: dest\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: msgout\n INTEGER, INTENT(IN) :: source\n TYPE(mp_comm_type), INTENT(IN) :: grp\n TYPE(mp_request_type), INTENT(OUT) :: send_request, recv_request\n\n IF (dbcsr_data_get_type(msgin) .NE. dbcsr_data_get_type(msgout)) &\n DBCSR_ABORT(\"Different data type for msgin and msgout\")\n\n SELECT CASE (dbcsr_data_get_type(msgin))\n CASE (dbcsr_type_real_4)\n CALL mp_isendrecv(msgin%d%r_sp, dest, &\n msgout%d%r_sp, source, &\n grp, send_request, recv_request)\n CASE (dbcsr_type_real_8)\n CALL mp_isendrecv(msgin%d%r_dp, dest, &\n msgout%d%r_dp, source, &\n grp, send_request, recv_request)\n CASE (dbcsr_type_complex_4)\n CALL mp_isendrecv(msgin%d%c_sp, dest, &\n msgout%d%c_sp, source, &\n grp, send_request, recv_request)\n CASE (dbcsr_type_complex_8)\n CALL mp_isendrecv(msgin%d%c_dp, dest, &\n msgout%d%c_dp, source, &\n grp, send_request, recv_request)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n END SUBROUTINE dbcsr_isendrecv_any\n\n SUBROUTINE dbcsr_allgatherv(send_data, scount, recv_data, recv_count, recv_displ, gid)\n !! Allgather of encapsulated data\n !! @note\n !! see mp_allgatherv_dv\n !! @endnote\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: send_data\n INTEGER, INTENT(IN) :: scount\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: recv_data\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: recv_count, recv_displ\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n IF (dbcsr_data_get_type(send_data) /= dbcsr_data_get_type(recv_data)) &\n DBCSR_ABORT(\"Data type mismatch\")\n SELECT CASE (dbcsr_data_get_type(send_data))\n CASE (dbcsr_type_real_4)\n CALL mp_allgather(send_data%d%r_sp(1:scount), recv_data%d%r_sp, &\n recv_count, recv_displ, gid)\n CASE (dbcsr_type_real_8)\n CALL mp_allgather(send_data%d%r_dp(1:scount), recv_data%d%r_dp, &\n recv_count, recv_displ, gid)\n CASE (dbcsr_type_complex_4)\n CALL mp_allgather(send_data%d%c_sp(1:scount), recv_data%d%c_sp, &\n recv_count, recv_displ, gid)\n CASE (dbcsr_type_complex_8)\n CALL mp_allgather(send_data%d%c_dp(1:scount), recv_data%d%c_dp, &\n recv_count, recv_displ, gid)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n END SUBROUTINE dbcsr_allgatherv\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n SUBROUTINE hybrid_alltoall_${nametype1}$1(sb, scount, sdispl, &\n rb, rcount, rdispl, mp_env, most_ptp, remainder_ptp, no_hybrid)\n !! Row/column and global all-to-all\n !!\n !! Communicator selection\n !! Uses row and column communicators for row/column\n !! sends. Remaining sends are performed using the global\n !! communicator. Point-to-point isend/irecv are used if ptp is\n !! set, otherwise a alltoall collective call is issued.\n !! see mp_alltoall\n\n ${type1}$, DIMENSION(:), &\n CONTIGUOUS, INTENT(in), TARGET :: sb\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: scount, sdispl\n ${type1}$, DIMENSION(:), &\n CONTIGUOUS, INTENT(INOUT), TARGET :: rb\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: rcount, rdispl\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n !! MP Environment\n LOGICAL, INTENT(in), OPTIONAL :: most_ptp, remainder_ptp, &\n no_hybrid\n !! Use point-to-point for row/column; default is no\n !! Use point-to-point for remaining; default is no\n !! Use regular global collective; default is no\n\n INTEGER :: mynode, mypcol, myprow, nall_rr, nall_sr, ncol_rr, &\n ncol_sr, npcols, nprows, nrow_rr, nrow_sr, numnodes, dst, src, &\n prow, pcol, send_cnt, recv_cnt, tag, i\n INTEGER, ALLOCATABLE, DIMENSION(:) :: new_rcount, new_rdispl, new_scount, new_sdispl\n INTEGER, DIMENSION(:, :), CONTIGUOUS, POINTER :: pgrid\n LOGICAL :: most_collective, &\n remainder_collective, no_h\n ${type1}$, DIMENSION(:), CONTIGUOUS, POINTER :: send_data_p, recv_data_p\n TYPE(dbcsr_mp_obj) :: mpe\n TYPE(mp_comm_type) :: all_group, grp\n TYPE(mp_request_type), ALLOCATABLE, DIMENSION(:) :: all_rr, all_sr, col_rr, col_sr, row_rr, row_sr\n\n IF (.NOT. dbcsr_mp_has_subgroups(mp_env)) THEN\n mpe = mp_env\n CALL dbcsr_mp_grid_setup(mpe)\n END IF\n most_collective = .TRUE.\n remainder_collective = .TRUE.\n no_h = .FALSE.\n IF (PRESENT(most_ptp)) most_collective = .NOT. most_ptp\n IF (PRESENT(remainder_ptp)) remainder_collective = .NOT. remainder_ptp\n IF (PRESENT(no_hybrid)) no_h = no_hybrid\n all_group = dbcsr_mp_group(mp_env)\n ! Don't use subcommunicators if they're not defined.\n no_h = no_h .OR. .NOT. dbcsr_mp_has_subgroups(mp_env) .OR. .NOT. has_MPI\n subgrouped: IF (mp_env%mp%subgroups_defined .AND. .NOT. no_h) THEN\n mynode = dbcsr_mp_mynode(mp_env)\n numnodes = dbcsr_mp_numnodes(mp_env)\n nprows = dbcsr_mp_nprows(mp_env)\n npcols = dbcsr_mp_npcols(mp_env)\n myprow = dbcsr_mp_myprow(mp_env)\n mypcol = dbcsr_mp_mypcol(mp_env)\n pgrid => dbcsr_mp_pgrid(mp_env)\n ALLOCATE (row_sr(0:npcols - 1)); nrow_sr = 0\n ALLOCATE (row_rr(0:npcols - 1)); nrow_rr = 0\n ALLOCATE (col_sr(0:nprows - 1)); ncol_sr = 0\n ALLOCATE (col_rr(0:nprows - 1)); ncol_rr = 0\n ALLOCATE (all_sr(0:numnodes - 1)); nall_sr = 0\n ALLOCATE (all_rr(0:numnodes - 1)); nall_rr = 0\n ALLOCATE (new_scount(numnodes), new_rcount(numnodes))\n ALLOCATE (new_sdispl(numnodes), new_rdispl(numnodes))\n IF (.NOT. remainder_collective) THEN\n CALL remainder_point_to_point()\n END IF\n IF (.NOT. most_collective) THEN\n CALL most_point_to_point()\n ELSE\n CALL most_alltoall()\n END IF\n IF (remainder_collective) THEN\n CALL remainder_alltoall()\n END IF\n DEALLOCATE (new_scount, new_rcount, new_sdispl, new_rdispl)\n ! Wait for all issued sends and receives.\n IF (.NOT. most_collective) THEN\n CALL mp_waitall(row_sr(0:nrow_sr - 1))\n CALL mp_waitall(col_sr(0:ncol_sr - 1))\n CALL mp_waitall(row_rr(0:nrow_rr - 1))\n CALL mp_waitall(col_rr(0:ncol_rr - 1))\n END IF\n DEALLOCATE (row_sr, row_rr, col_sr, col_rr)\n IF (.NOT. remainder_collective) THEN\n CALL mp_waitall(all_sr(1:nall_sr))\n CALL mp_waitall(all_rr(1:nall_rr))\n END IF\n DEALLOCATE (all_sr, all_rr)\n ELSE\n CALL mp_alltoall(sb, scount, sdispl, &\n rb, rcount, rdispl, &\n all_group)\n END IF subgrouped\n CONTAINS\n SUBROUTINE most_alltoall()\n DO pcol = 0, npcols - 1\n new_scount(1 + pcol) = scount(1 + pgrid(myprow, pcol))\n new_rcount(1 + pcol) = rcount(1 + pgrid(myprow, pcol))\n new_sdispl(1 + pcol) = sdispl(1 + pgrid(myprow, pcol))\n new_rdispl(1 + pcol) = rdispl(1 + pgrid(myprow, pcol))\n END DO\n CALL mp_alltoall(sb, new_scount(1:npcols), new_sdispl(1:npcols), &\n rb, new_rcount(1:npcols), new_rdispl(1:npcols), &\n dbcsr_mp_my_row_group(mp_env))\n DO prow = 0, nprows - 1\n new_scount(1 + prow) = scount(1 + pgrid(prow, mypcol))\n new_rcount(1 + prow) = rcount(1 + pgrid(prow, mypcol))\n new_sdispl(1 + prow) = sdispl(1 + pgrid(prow, mypcol))\n new_rdispl(1 + prow) = rdispl(1 + pgrid(prow, mypcol))\n END DO\n CALL mp_alltoall(sb, new_scount(1:nprows), new_sdispl(1:nprows), &\n rb, new_rcount(1:nprows), new_rdispl(1:nprows), &\n dbcsr_mp_my_col_group(mp_env))\n END SUBROUTINE most_alltoall\n SUBROUTINE most_point_to_point()\n ! Go through my prow and exchange.\n DO i = 0, npcols - 1\n pcol = MOD(mypcol + i, npcols)\n grp = dbcsr_mp_my_row_group(mp_env)\n !\n dst = dbcsr_mp_get_process(mp_env, myprow, pcol)\n send_cnt = scount(dst + 1)\n IF (send_cnt .GT. 0) THEN\n send_data_p => sb(1 + sdispl(dst + 1):1 + sdispl(dst + 1) + send_cnt - 1)\n IF (pcol .NE. mypcol) THEN\n tag = 4*mypcol\n CALL mp_isend(send_data_p, pcol, grp, row_sr(nrow_sr), tag)\n nrow_sr = nrow_sr + 1\n END IF\n END IF\n !\n pcol = MODULO(mypcol - i, npcols)\n src = dbcsr_mp_get_process(mp_env, myprow, pcol)\n recv_cnt = rcount(src + 1)\n IF (recv_cnt .GT. 0) THEN\n recv_data_p => rb(1 + rdispl(src + 1):1 + rdispl(src + 1) + recv_cnt - 1)\n IF (pcol .NE. mypcol) THEN\n tag = 4*pcol\n CALL mp_irecv(recv_data_p, pcol, grp, row_rr(nrow_rr), tag)\n nrow_rr = nrow_rr + 1\n ELSE\n CALL memory_copy(recv_data_p, send_data_p, recv_cnt)\n END IF\n END IF\n END DO\n ! go through my pcol and exchange\n DO i = 0, nprows - 1\n prow = MOD(myprow + i, nprows)\n grp = dbcsr_mp_my_col_group(mp_env)\n !\n dst = dbcsr_mp_get_process(mp_env, prow, mypcol)\n send_cnt = scount(dst + 1)\n IF (send_cnt .GT. 0) THEN\n send_data_p => sb(1 + sdispl(dst + 1):1 + sdispl(dst + 1) + send_cnt - 1)\n IF (prow .NE. myprow) THEN\n tag = 4*myprow + 1\n CALL mp_isend(send_data_p, prow, grp, col_sr(ncol_sr), tag)\n ncol_sr = ncol_sr + 1\n END IF\n END IF\n !\n prow = MODULO(myprow - i, nprows)\n src = dbcsr_mp_get_process(mp_env, prow, mypcol)\n recv_cnt = rcount(src + 1)\n IF (recv_cnt .GT. 0) THEN\n recv_data_p => rb(1 + rdispl(src + 1):1 + rdispl(src + 1) + recv_cnt - 1)\n IF (prow .NE. myprow) THEN\n tag = 4*prow + 1\n CALL mp_irecv(recv_data_p, prow, grp, col_rr(ncol_rr), tag)\n ncol_rr = ncol_rr + 1\n ELSE\n CALL memory_copy(recv_data_p, send_data_p, recv_cnt)\n END IF\n END IF\n END DO\n END SUBROUTINE most_point_to_point\n SUBROUTINE remainder_alltoall()\n new_scount(:) = scount(:)\n new_rcount(:) = rcount(:)\n DO prow = 0, nprows - 1\n new_scount(1 + pgrid(prow, mypcol)) = 0\n new_rcount(1 + pgrid(prow, mypcol)) = 0\n END DO\n DO pcol = 0, npcols - 1\n new_scount(1 + pgrid(myprow, pcol)) = 0\n new_rcount(1 + pgrid(myprow, pcol)) = 0\n END DO\n CALL mp_alltoall(sb, new_scount, sdispl, &\n rb, new_rcount, rdispl, all_group)\n END SUBROUTINE remainder_alltoall\n SUBROUTINE remainder_point_to_point()\n INTEGER :: col, row\n\n DO row = 0, nprows - 1\n prow = MOD(row + myprow, nprows)\n IF (prow .EQ. myprow) CYCLE\n DO col = 0, npcols - 1\n pcol = MOD(col + mypcol, npcols)\n IF (pcol .EQ. mypcol) CYCLE\n dst = dbcsr_mp_get_process(mp_env, prow, pcol)\n send_cnt = scount(dst + 1)\n IF (send_cnt .GT. 0) THEN\n send_data_p => sb(1 + sdispl(dst + 1):1 + sdispl(dst + 1) + send_cnt - 1)\n tag = 4*mynode + 2\n CALL mp_isend(send_data_p, dst, all_group, all_sr(nall_sr + 1), tag)\n nall_sr = nall_sr + 1\n END IF\n !\n src = dbcsr_mp_get_process(mp_env, prow, pcol)\n recv_cnt = rcount(src + 1)\n IF (recv_cnt .GT. 0) THEN\n recv_data_p => rb(1 + rdispl(src + 1):1 + rdispl(src + 1) + recv_cnt - 1)\n tag = 4*src + 2\n CALL mp_irecv(recv_data_p, src, all_group, all_rr(nall_rr + 1), tag)\n nall_rr = nall_rr + 1\n END IF\n END DO\n END DO\n END SUBROUTINE remainder_point_to_point\n END SUBROUTINE hybrid_alltoall_${nametype1}$1\n #:endfor\n\nEND MODULE dbcsr_mp_operations\n" }, { "path": "src/mpi/dbcsr_mpiwrap.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_mpiwrap\n !! Interface to the message passing library MPI\n USE ISO_C_BINDING, ONLY: C_F_POINTER, &\n C_PTR\n USE dbcsr_kinds, ONLY: &\n dp, int_4, int_4_size, int_8, int_8_size, real_4, real_4_size, real_8, &\n real_8_size\n USE dbcsr_machine, ONLY: m_abort, m_hostnm\n\n#include \"base/dbcsr_base_uses.f90\"\n #:include 'dbcsr_mpiwrap.fypp'\n\n#if defined(__parallel) && defined(__USE_MPI_F08)\n USE mpi_f08, ONLY: mpi_datatype, mpi_comm, mpi_request, mpi_win, mpi_file, mpi_info, mpi_status, mpi_group, MPI_ANY_TAG, &\n MPI_ANY_SOURCE, MPI_COMM_NULL, MPI_COMM_SELF, MPI_COMM_WORLD, MPI_REQUEST_NULL, MPI_WIN_NULL, &\n MPI_FILE_NULL, MPI_INFO_NULL, MPI_DATATYPE_NULL, MPI_STATUS_SIZE, MPI_PROC_NULL, &\n MPI_MAX_LIBRARY_VERSION_STRING, MPI_OFFSET_KIND, MPI_ADDRESS_KIND, MPI_MODE_CREATE, &\n MPI_MODE_RDONLY, MPI_MODE_WRONLY, MPI_MODE_RDWR, MPI_MODE_EXCL, MPI_MODE_APPEND, &\n MPI_MAX_ERROR_STRING, MPI_IDENT, MPI_CONGRUENT, MPI_SIMILAR, MPI_UNEQUAL, MPI_COMPLEX, MPI_DOUBLE_COMPLEX, &\n MPI_INTEGER, MPI_LOGICAL, MPI_DOUBLE_PRECISION, MPI_STATUS_IGNORE, MPI_TYPE_SIZE, MPI_FILE_READ_AT_ALL, &\n MPI_FILE_READ_AT, mpi_type_indexed, mpi_irecv, mpi_recv, mpi_isend, mpi_send, mpi_sendrecv, mpi_allreduce, &\n mpi_reduce, mpi_barrier, mpi_ibarrier, mpi_iallreduce, mpi_test, mpi_probe, mpi_wait, mpi_iprobe, &\n mpi_testany, mpi_testall, mpi_waitany, mpi_waitall, mpi_allgather, mpi_allgatherv, mpi_iallgather, &\n mpi_iallgatherv, mpi_gather, mpi_gatherv, mpi_scatter, mpi_scatterv, mpi_iscatterv, mpi_iscatter, &\n mpi_scan, mpi_alltoall, mpi_alltoallv, mpi_type_indexed, mpi_bcast, mpi_ibcast, mpi_group_free, &\n mpi_comm_free, mpi_comm_create, mpi_win_create, mpi_rget, mpi_free_mem, mpi_get_address, &\n MPI_FILE_WRITE_AT, MPI_FILE_WRITE_AT_ALL, mpi_comm_group, mpi_init, mpi_init_thread, mpi_bottom, &\n MPI_IN_PLACE, MPI_MIN, MPI_MAX, MPI_SUM, MPI_PROD, MPI_SOURCE, MPI_TAG, MPI_REAL, MPI_INTEGER8, &\n MPI_MODE_NOCHECK, MPI_CHARACTER, MPI_ERRORS_RETURN, MPI_2DOUBLE_PRECISION, MPI_MAXLOC, MPI_LOR, &\n MPI_MINLOC, MPI_SUCCESS, MPI_THREAD_FUNNELED\n#endif\n#if defined(__parallel) && ! defined(__USE_MPI_F08)\n USE mpi\n#endif\n! subroutines: unfortunately, mpi implementations do not provide interfaces for all subroutines (problems with types and ranks explosion),\n! we do not quite know what is in the module, so we can not include any....\n! to nevertheless get checking for what is included, we use the mpi module without use clause, getting all there is\n! USE mpi, ONLY: mpi_allgather, mpi_allgatherv, mpi_alloc_mem, mpi_allreduce, mpi_alltoall, mpi_alltoallv, mpi_bcast,&\n! mpi_cart_coords, mpi_cart_create, mpi_cart_get, mpi_cart_rank, mpi_cart_sub, mpi_dims_create, mpi_file_close,&\n! mpi_file_get_size, mpi_file_open, mpi_file_read_at_all, mpi_file_read_at, mpi_file_write_at_all,&\n! mpi_file_write_at, mpi_free_mem, mpi_gather, mpi_gatherv, mpi_get_address, mpi_group_translate_ranks, mpi_irecv,&\n! mpi_isend, mpi_recv, mpi_reduce, mpi_reduce_scatter, mpi_rget, mpi_scatter, mpi_send,&\n! mpi_sendrecv, mpi_sendrecv_replace, mpi_testany, mpi_waitall, mpi_waitany, mpi_win_create\n! functions\n! USE mpi, ONLY: mpi_wtime\n! constants\n! USE mpi, ONLY: MPI_DOUBLE_PRECISION, MPI_DOUBLE_COMPLEX, MPI_REAL, MPI_COMPLEX, MPI_ANY_TAG,&\n! MPI_ANY_SOURCE, MPI_COMM_NULL, MPI_REQUEST_NULL, MPI_WIN_NULL, MPI_STATUS_SIZE, MPI_STATUS_IGNORE, MPI_STATUSES_IGNORE, &\n! MPI_ADDRESS_KIND, MPI_OFFSET_KIND, MPI_MODE_CREATE, MPI_MODE_RDONLY, MPI_MODE_WRONLY,&\n! MPI_MODE_RDWR, MPI_MODE_EXCL, MPI_COMM_SELF, MPI_COMM_WORLD, MPI_THREAD_FUNNELED,&\n! MPI_ERRORS_RETURN, MPI_SUCCESS, MPI_MAX_PROCESSOR_NAME, MPI_MAX_ERROR_STRING, MPI_IDENT,&\n! MPI_UNEQUAL, MPI_MAX, MPI_SUM, MPI_INFO_NULL, MPI_IN_PLACE, MPI_CONGRUENT, MPI_SIMILAR, MPI_MIN, MPI_SOURCE,&\n! MPI_TAG, MPI_INTEGER8, MPI_INTEGER, MPI_MAXLOC, MPI_2INTEGER, MPI_MINLOC, MPI_LOGICAL, MPI_2DOUBLE_PRECISION,&\n! MPI_LOR, MPI_CHARACTER, MPI_BOTTOM, MPI_MODE_NOCHECK, MPI_2REAL\n\n! To simplify the transition between the old MPI module and the F08-style module, we introduce these macros to switch between the required handle types\n! Unfortunately, Fortran does not offer something like typedef in C/C++\n!\n! MPI_STATUS_ARRAY is a macro to provide the appropriate type of arrays of status variables because with mpi.\n!\n! MPI_STATUS_EXTRACT is a macro to provide an extraction method from the respective MPI_Status objects/ status arrays depending on the MPI library in use.\n! Use it as \" MPI_STATUS_EXTRACT()\".\n! The space before MPI_STATUS_EXTRACT is compulsory to allow the C-preprocessor to identify the macro.\n! In Fortran, this space is ignored according to the standards.\n#if defined(__parallel) && defined(__USE_MPI_F08)\n#define MPI_DATA_TYPE TYPE(MPI_Datatype)\n#define MPI_COMM_TYPE TYPE(MPI_Comm)\n#define MPI_REQUEST_TYPE TYPE(MPI_Request)\n#define MPI_WIN_TYPE TYPE(MPI_Win)\n#define MPI_FILE_TYPE TYPE(MPI_File)\n#define MPI_INFO_TYPE TYPE(MPI_Info)\n#define MPI_STATUS_TYPE TYPE(MPI_Status)\n#define MPI_STATUS_TYPE_ARRAY(X) TYPE(MPI_Status),DIMENSION(X)\n#define MPI_GROUP_TYPE TYPE(MPI_Group)\n#define MPI_STATUS_EXTRACT(X) %X\n#else\n#define MPI_DATA_TYPE INTEGER\n#define MPI_COMM_TYPE INTEGER\n#define MPI_REQUEST_TYPE INTEGER\n#define MPI_WIN_TYPE INTEGER\n#define MPI_FILE_TYPE INTEGER\n#define MPI_INFO_TYPE INTEGER\n#define MPI_STATUS_TYPE INTEGER,DIMENSION(MPI_STATUS_SIZE)\n#define MPI_STATUS_TYPE_ARRAY(X) INTEGER,DIMENSION(MPI_STATUS_SIZE,X)\n#define MPI_GROUP_TYPE INTEGER\n#define MPI_STATUS_EXTRACT(X) (X)\n#endif\n\n IMPLICIT NONE\n PRIVATE\n\n ! parameters that might be needed\n#if defined(__parallel)\n LOGICAL, PARAMETER :: dbcsr_is_parallel = .TRUE.\n INTEGER, PARAMETER, PUBLIC :: mp_any_tag = MPI_ANY_TAG\n INTEGER, PARAMETER, PUBLIC :: mp_any_source = MPI_ANY_SOURCE\n MPI_COMM_TYPE, PARAMETER :: mp_comm_null_handle = MPI_COMM_NULL\n MPI_COMM_TYPE, PARAMETER :: mp_comm_self_handle = MPI_COMM_SELF\n MPI_COMM_TYPE, PARAMETER :: mp_comm_world_handle = MPI_COMM_WORLD\n MPI_REQUEST_TYPE, PARAMETER :: mp_request_null_handle = MPI_REQUEST_NULL\n MPI_WIN_TYPE, PARAMETER :: mp_win_null_handle = MPI_WIN_NULL\n MPI_FILE_TYPE, PARAMETER :: mp_file_null_handle = MPI_FILE_NULL\n MPI_INFO_TYPE, PARAMETER :: mp_info_null_handle = MPI_INFO_NULL\n MPI_DATA_TYPE, PARAMETER :: mp_datatype_null_handle = MPI_DATATYPE_NULL\n INTEGER, PARAMETER, PUBLIC :: mp_status_size = MPI_STATUS_SIZE\n INTEGER, PARAMETER, PUBLIC :: mp_proc_null = MPI_PROC_NULL\n ! Set max allocatable memory by MPI to 2 GiByte\n INTEGER(KIND=MPI_ADDRESS_KIND), PARAMETER, PRIVATE :: mp_max_memory_size = HUGE(INT(1, KIND=int_4))\n\n INTEGER, PARAMETER, PUBLIC :: mp_max_library_version_string = MPI_MAX_LIBRARY_VERSION_STRING\n\n INTEGER, PARAMETER, PUBLIC :: file_offset = MPI_OFFSET_KIND\n INTEGER, PARAMETER, PUBLIC :: address_kind = MPI_ADDRESS_KIND\n INTEGER, PARAMETER, PUBLIC :: file_amode_create = MPI_MODE_CREATE\n INTEGER, PARAMETER, PUBLIC :: file_amode_rdonly = MPI_MODE_RDONLY\n INTEGER, PARAMETER, PUBLIC :: file_amode_wronly = MPI_MODE_WRONLY\n INTEGER, PARAMETER, PUBLIC :: file_amode_rdwr = MPI_MODE_RDWR\n INTEGER, PARAMETER, PUBLIC :: file_amode_excl = MPI_MODE_EXCL\n INTEGER, PARAMETER, PUBLIC :: file_amode_append = MPI_MODE_APPEND\n#else\n LOGICAL, PARAMETER :: dbcsr_is_parallel = .FALSE.\n INTEGER, PARAMETER, PUBLIC :: mp_any_tag = -1\n INTEGER, PARAMETER, PUBLIC :: mp_any_source = -2\n MPI_COMM_TYPE, PARAMETER :: mp_comm_null_handle = -3\n MPI_COMM_TYPE, PARAMETER :: mp_comm_self_handle = -11\n MPI_COMM_TYPE, PARAMETER :: mp_comm_world_handle = -12\n MPI_REQUEST_TYPE, PARAMETER :: mp_request_null_handle = -4\n MPI_WIN_TYPE, PARAMETER :: mp_win_null_handle = -5\n MPI_FILE_TYPE, PARAMETER :: mp_file_null_handle = -6\n MPI_INFO_TYPE, PARAMETER :: mp_info_null_handle = -7\n MPI_DATA_TYPE, PARAMETER :: mp_datatype_null_handle = -13\n INTEGER, PARAMETER, PUBLIC :: mp_status_size = -7\n INTEGER, PARAMETER, PUBLIC :: mp_proc_null = -8\n INTEGER, PARAMETER, PUBLIC :: mp_max_library_version_string = 1\n\n INTEGER, PARAMETER, PUBLIC :: file_offset = int_8\n INTEGER, PARAMETER, PUBLIC :: address_kind = int_8\n INTEGER, PARAMETER, PUBLIC :: file_amode_create = 1\n INTEGER, PARAMETER, PUBLIC :: file_amode_rdonly = 2\n INTEGER, PARAMETER, PUBLIC :: file_amode_wronly = 4\n INTEGER, PARAMETER, PUBLIC :: file_amode_rdwr = 8\n INTEGER, PARAMETER, PUBLIC :: file_amode_excl = 64\n INTEGER, PARAMETER, PUBLIC :: file_amode_append = 128\n#endif\n\n ! MPI wrapper types (keep the handles private for to switch between serial mode/old mpi module and mpi_f08!)\n TYPE mp_comm_type\n PRIVATE\n MPI_COMM_TYPE :: handle = mp_comm_null_handle\n CONTAINS\n PROCEDURE, PUBLIC, PASS(comm), NON_OVERRIDABLE :: get_handle => mp_get_comm_handle\n PROCEDURE, PUBLIC, PASS(comm), NON_OVERRIDABLE :: set_handle => mp_set_comm_handle\n PROCEDURE, PRIVATE, PASS(comm1), NON_OVERRIDABLE :: mp_comm_op_eq\n GENERIC, PUBLIC :: OPERATOR(.EQ.) => mp_comm_op_eq\n PROCEDURE, PRIVATE, PASS(comm1), NON_OVERRIDABLE :: mp_comm_op_ne\n GENERIC, PUBLIC :: OPERATOR(.NE.) => mp_comm_op_ne\n END TYPE mp_comm_type\n\n TYPE mp_request_type\n PRIVATE\n MPI_REQUEST_TYPE :: handle = mp_request_null_handle\n CONTAINS\n PROCEDURE, PUBLIC, PASS(request), NON_OVERRIDABLE :: get_handle => mp_get_request_handle\n PROCEDURE, PUBLIC, PASS(request), NON_OVERRIDABLE :: set_handle => mp_set_request_handle\n PROCEDURE, PRIVATE, PASS(request1), NON_OVERRIDABLE :: mp_request_op_eq\n GENERIC, PUBLIC :: OPERATOR(.EQ.) => mp_request_op_eq\n PROCEDURE, PRIVATE, PASS(request1), NON_OVERRIDABLE :: mp_request_op_ne\n GENERIC, PUBLIC :: OPERATOR(.NE.) => mp_request_op_ne\n END TYPE mp_request_type\n\n TYPE mp_win_type\n PRIVATE\n MPI_WIN_TYPE :: handle = mp_win_null_handle\n CONTAINS\n PROCEDURE, PUBLIC, PASS(win), NON_OVERRIDABLE :: get_handle => mp_get_win_handle\n PROCEDURE, PUBLIC, PASS(win), NON_OVERRIDABLE :: set_handle => mp_set_win_handle\n PROCEDURE, PRIVATE, PASS(win1), NON_OVERRIDABLE :: mp_win_op_eq\n GENERIC, PUBLIC :: OPERATOR(.EQ.) => mp_win_op_eq\n PROCEDURE, PRIVATE, PASS(win1), NON_OVERRIDABLE :: mp_win_op_ne\n GENERIC, PUBLIC :: OPERATOR(.NE.) => mp_win_op_ne\n END TYPE mp_win_type\n\n TYPE mp_file_type\n PRIVATE\n MPI_FILE_TYPE :: handle = mp_file_null_handle\n CONTAINS\n PROCEDURE, PUBLIC, PASS(file), NON_OVERRIDABLE :: get_handle => mp_get_file_handle\n PROCEDURE, PUBLIC, PASS(file), NON_OVERRIDABLE :: set_handle => mp_set_file_handle\n PROCEDURE, PRIVATE, PASS(file1), NON_OVERRIDABLE :: mp_file_op_eq\n GENERIC, PUBLIC :: OPERATOR(.EQ.) => mp_file_op_eq\n PROCEDURE, PRIVATE, PASS(file1), NON_OVERRIDABLE :: mp_file_op_ne\n GENERIC, PUBLIC :: OPERATOR(.NE.) => mp_file_op_ne\n END TYPE mp_file_type\n\n TYPE mp_info_type\n PRIVATE\n MPI_INFO_TYPE :: handle = mp_info_null_handle\n CONTAINS\n PROCEDURE, PUBLIC, PASS(info), NON_OVERRIDABLE :: get_handle => mp_get_info_handle\n PROCEDURE, PUBLIC, PASS(info), NON_OVERRIDABLE :: set_handle => mp_set_info_handle\n PROCEDURE, PRIVATE, PASS(info1), NON_OVERRIDABLE :: mp_info_op_eq\n GENERIC, PUBLIC :: OPERATOR(.EQ.) => mp_info_op_eq\n PROCEDURE, PRIVATE, PASS(info1), NON_OVERRIDABLE :: mp_info_op_ne\n GENERIC, PUBLIC :: OPERATOR(.NE.) => mp_info_op_ne\n END TYPE mp_info_type\n\n ! The actual MPI wrapper constants\n TYPE(mp_comm_type), PARAMETER, PUBLIC :: mp_comm_null = mp_comm_type(mp_comm_null_handle)\n TYPE(mp_comm_type), PARAMETER, PUBLIC :: mp_comm_self = mp_comm_type(mp_comm_self_handle)\n TYPE(mp_comm_type), PARAMETER, PUBLIC :: mp_comm_world = mp_comm_type(mp_comm_world_handle)\n TYPE(mp_request_type), PARAMETER, PUBLIC :: mp_request_null = mp_request_type(mp_request_null_handle)\n TYPE(mp_win_type), PARAMETER, PUBLIC :: mp_win_null = mp_win_type(mp_win_null_handle)\n TYPE(mp_file_type), PARAMETER, PUBLIC :: mp_file_null = mp_file_type(mp_file_null_handle)\n TYPE(mp_info_type), PARAMETER, PUBLIC :: mp_info_null = mp_info_type(mp_info_null_handle)\n\n ! we need to fix this to a given number (crossing fingers)\n ! so that the serial code using Fortran stream IO and the MPI have the same sizes.\n INTEGER, PARAMETER, PUBLIC :: mpi_character_size = 1\n INTEGER, PARAMETER, PUBLIC :: mpi_integer_size = 4\n\n CHARACTER(LEN=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_mpiwrap'\n\n#if defined(__parallel)\n ! internal reference counter used to debug communicator leaks\n INTEGER, PRIVATE, SAVE :: debug_comm_count = 0\n#endif\n\n ! types\n PUBLIC :: mp_comm_type\n PUBLIC :: mp_request_type\n PUBLIC :: mp_win_type\n PUBLIC :: mp_file_type\n PUBLIC :: mp_info_type\n\n ! init and error\n PUBLIC :: mp_world_init, mp_world_finalize\n PUBLIC :: mp_get_comm_count\n PUBLIC :: mp_abort\n\n ! performance gathering\n PUBLIC :: mp_perf_env_type\n PUBLIC :: mp_perf_env_retain, mp_perf_env_release\n PUBLIC :: add_mp_perf_env, rm_mp_perf_env, get_mp_perf_env, describe_mp_perf_env\n PUBLIC :: has_mp_perf_env\n\n ! informational / generation of sub comms\n PUBLIC :: mp_environ, mp_comm_compare, mp_cart_coords, mp_rank_compare\n PUBLIC :: mp_cart_create, mp_dims_create, mp_cart_rank, mp_cart_sub, mp_comm_free\n PUBLIC :: mp_comm_dup, mp_comm_split, mp_comm_split_direct\n PUBLIC :: dbcsr_is_parallel\n PUBLIC :: mp_probe\n\n ! message passing\n PUBLIC :: mp_bcast, mp_sum, mp_sum_partial, mp_max, mp_maxloc, mp_minloc, mp_min, mp_prod, mp_sync\n PUBLIC :: mp_isync, mp_isum\n PUBLIC :: mp_gather, mp_alltoall, mp_sendrecv, mp_allgather, mp_iallgather\n PUBLIC :: mp_isend, mp_irecv, mp_ibcast\n PUBLIC :: mp_isendrecv, mp_wait, mp_waitall, mp_waitany, mp_testany\n PUBLIC :: mp_testall, mp_iscatter, mp_test\n PUBLIC :: mp_gatherv\n PUBLIC :: mp_send, mp_recv\n\n ! Memory management\n PUBLIC :: mp_allocate, mp_deallocate\n\n ! MPI re-ordering\n PUBLIC :: mp_reordering\n\n ! I/O\n PUBLIC :: mp_file_open, mp_file_close\n PUBLIC :: mp_file_delete\n PUBLIC :: mp_file_write_at\n PUBLIC :: mp_file_write_at_all, mp_file_read_at_all\n PUBLIC :: mp_file_get_size\n PUBLIC :: mp_file_get_position\n\n ! some 'advanced types' currently only used for dbcsr\n PUBLIC :: mp_type_descriptor_type\n PUBLIC :: mp_type_make\n PUBLIC :: mp_type_size\n\n ! one-sided communication\n PUBLIC :: mp_win_create, mp_win_free, mp_win_lock_all, &\n mp_win_unlock_all, mp_rget, mp_win_flush_all\n\n ! vector types\n PUBLIC :: mp_type_indexed_make_r, mp_type_indexed_make_d, &\n mp_type_indexed_make_c, mp_type_indexed_make_z, &\n mp_type_indexed_make_i, mp_type_indexed_make_l\n\n ! misc\n PUBLIC :: mp_get_library_version, mp_get_processor_name\n\n ! assumed to be private\n\n! Interface declarations for non-data-oriented subroutines.\n\n INTERFACE mp_environ\n MODULE PROCEDURE mp_environ_l, mp_environ_c, mp_environ_c2\n END INTERFACE\n\n INTERFACE mp_waitall\n MODULE PROCEDURE mp_waitall_1, mp_waitall_2\n END INTERFACE\n\n INTERFACE mp_testall\n MODULE PROCEDURE mp_testall_tv\n END INTERFACE\n\n INTERFACE mp_test\n MODULE PROCEDURE mp_test_1\n END INTERFACE\n\n INTERFACE mp_testany\n MODULE PROCEDURE mp_testany_1, mp_testany_2\n END INTERFACE\n\n !\n ! interfaces to deal easily with scalars / vectors / matrices / ...\n ! of the different types (integers, doubles, logicals, characters)\n !\n INTERFACE mp_minloc\n MODULE PROCEDURE mp_minloc_dv\n END INTERFACE\n\n INTERFACE mp_maxloc\n MODULE PROCEDURE mp_maxloc_dv\n END INTERFACE\n\n $:gen_mp_iface('bcast', suffixes=['', 'v', 'm', '3'], extra_suffixes=['b', 'bv', 'av', 'am'])\n $:gen_mp_iface('ibcast', suffixes=['', 'v'])\n\n INTERFACE mp_sum\n MODULE PROCEDURE mp_sum_i, mp_sum_iv, mp_sum_im, mp_sum_im3, mp_sum_im4, &\n mp_sum_l, mp_sum_lv, mp_sum_lm, mp_sum_lm3, mp_sum_lm4, &\n mp_sum_r, mp_sum_rv, mp_sum_rm, mp_sum_rm3, mp_sum_rm4, &\n mp_sum_d, mp_sum_dv, mp_sum_dm, mp_sum_dm3, mp_sum_dm4, &\n mp_sum_c, mp_sum_cv, mp_sum_cm, mp_sum_cm3, mp_sum_cm4, &\n mp_sum_z, mp_sum_zv, mp_sum_zm, mp_sum_zm3, mp_sum_zm4, &\n mp_sum_root_iv, mp_sum_root_im, &\n mp_sum_root_lv, mp_sum_root_lm, &\n mp_sum_root_rv, mp_sum_root_rm, &\n mp_sum_root_dv, mp_sum_root_dm, &\n mp_sum_root_cv, mp_sum_root_cm, &\n mp_sum_root_zv, mp_sum_root_zm\n MODULE PROCEDURE mp_sum_b, mp_sum_bv\n END INTERFACE\n\n $:gen_mp_iface('isum', suffixes=['v'], extra_suffixes=['bv'])\n $:gen_mp_iface('sum_partial', suffixes=['m'])\n $:gen_mp_iface('max', suffixes=['', 'v'])\n $:gen_mp_iface('min', suffixes=['', 'v'])\n $:gen_mp_iface('prod')\n $:gen_mp_iface('gather', suffixes=['', 'm', 'v'])\n $:gen_mp_iface('gatherv', suffixes=['v'])\n\n INTERFACE mp_allgather\n !! @todo move allgatherv to a separate declaration\n MODULE PROCEDURE &\n mp_allgather_i, mp_allgather_i2, &\n mp_allgather_i12, mp_allgather_i23, mp_allgather_i34, &\n mp_allgather_i22, &\n mp_allgather_l, mp_allgather_l2, &\n mp_allgather_l12, mp_allgather_l23, mp_allgather_l34, &\n mp_allgather_l22, &\n mp_allgather_r, mp_allgather_r2, &\n mp_allgather_r12, mp_allgather_r23, mp_allgather_r34, &\n mp_allgather_r22, &\n mp_allgather_d, mp_allgather_d2, &\n mp_allgather_d12, mp_allgather_d23, mp_allgather_d34, &\n mp_allgather_d22, &\n mp_allgather_c, mp_allgather_c2, &\n mp_allgather_c12, mp_allgather_c23, mp_allgather_c34, &\n mp_allgather_c22, &\n mp_allgather_z, mp_allgather_z2, &\n mp_allgather_z12, mp_allgather_z23, mp_allgather_z34, &\n mp_allgather_z22, &\n mp_allgatherv_iv, &\n mp_allgatherv_lv, &\n mp_allgatherv_rv, &\n mp_allgatherv_dv, &\n mp_allgatherv_cv, &\n mp_allgatherv_zv\n END INTERFACE\n\n INTERFACE mp_iallgather\n MODULE PROCEDURE &\n mp_iallgather_i, mp_iallgather_l, &\n mp_iallgather_r, mp_iallgather_d, &\n mp_iallgather_c, mp_iallgather_z, &\n mp_iallgather_i11, mp_iallgather_l11, &\n mp_iallgather_r11, mp_iallgather_d11, &\n mp_iallgather_c11, mp_iallgather_z11, &\n mp_iallgather_i13, mp_iallgather_l13, &\n mp_iallgather_r13, mp_iallgather_d13, &\n mp_iallgather_c13, mp_iallgather_z13, &\n mp_iallgather_i22, mp_iallgather_l22, &\n mp_iallgather_r22, mp_iallgather_d22, &\n mp_iallgather_c22, mp_iallgather_z22, &\n mp_iallgather_i24, mp_iallgather_l24, &\n mp_iallgather_r24, mp_iallgather_d24, &\n mp_iallgather_c24, mp_iallgather_z24, &\n mp_iallgather_i33, mp_iallgather_l33, &\n mp_iallgather_r33, mp_iallgather_d33, &\n mp_iallgather_c33, mp_iallgather_z33, &\n mp_iallgatherv_iv, mp_iallgatherv_iv2, &\n mp_iallgatherv_lv, mp_iallgatherv_lv2, &\n mp_iallgatherv_rv, mp_iallgatherv_rv2, &\n mp_iallgatherv_dv, mp_iallgatherv_dv2, &\n mp_iallgatherv_cv, mp_iallgatherv_cv2, &\n mp_iallgatherv_zv, mp_iallgatherv_zv2\n END INTERFACE\n\n INTERFACE mp_iscatter\n MODULE PROCEDURE mp_iscatter_i, &\n mp_iscatter_l, &\n mp_iscatter_r, &\n mp_iscatter_d, &\n mp_iscatter_c, &\n mp_iscatter_z, &\n mp_iscatter_iv2, &\n mp_iscatter_lv2, &\n mp_iscatter_rv2, &\n mp_iscatter_dv2, &\n mp_iscatter_cv2, &\n mp_iscatter_zv2, &\n mp_iscatterv_iv, &\n mp_iscatterv_lv, &\n mp_iscatterv_rv, &\n mp_iscatterv_dv, &\n mp_iscatterv_cv, &\n mp_iscatterv_zv\n END INTERFACE\n\n $:gen_mp_iface('alltoall', suffixes=['', '22', '44', '11v'])\n\n $:gen_mp_iface('send', suffixes=['', 'v'])\n $:gen_mp_iface('recv', suffixes=['', 'v'])\n $:gen_mp_iface('sendrecv', suffixes=['v', ])\n $:gen_mp_iface('isendrecv', suffixes=['', 'v'])\n\n $:gen_mp_iface('isend', suffixes=['v', 'm2'], extra_suffixes=['bv', 'custom'])\n $:gen_mp_iface('irecv', suffixes=['v', 'm2'], extra_suffixes=['bv', 'custom'])\n\n $:gen_mp_iface('win_create', suffixes=['v'])\n $:gen_mp_iface('rget', suffixes=['v'])\n $:gen_mp_iface('allocate')\n $:gen_mp_iface('deallocate')\n\n $:gen_mp_iface('type_make', extra_suffixes=['struct'])\n\n $:gen_mp_iface('file_write_at', suffixes=['', 'v'], extra_suffixes=['ch'])\n $:gen_mp_iface('file_write_at_all', suffixes=['', 'v'], extra_suffixes=['ch'])\n $:gen_mp_iface('file_read_at_all', suffixes=['', 'v'], extra_suffixes=['ch'])\n\n#if defined(__parallel)\n $:gen_mp_iface('alloc_mem')\n $:gen_mp_iface('free_mem')\n#endif\n\n! Type declarations\n TYPE mp_indexing_meta_type\n INTEGER, DIMENSION(:), POINTER :: index => NULL(), chunks => NULL()\n END TYPE mp_indexing_meta_type\n\n TYPE mp_type_descriptor_type\n MPI_DATA_TYPE :: type_handle = mp_datatype_null_handle\n INTEGER :: length = -1\n#if defined(__parallel)\n INTEGER(kind=mpi_address_kind) :: base = -1_mpi_address_kind\n#endif\n INTEGER(kind=int_4), DIMENSION(:), POINTER :: data_i => NULL()\n INTEGER(kind=int_8), DIMENSION(:), POINTER :: data_l => NULL()\n REAL(kind=real_4), DIMENSION(:), POINTER :: data_r => NULL()\n REAL(kind=real_8), DIMENSION(:), POINTER :: data_d => NULL()\n COMPLEX(kind=real_4), DIMENSION(:), POINTER :: data_c => NULL()\n COMPLEX(kind=real_8), DIMENSION(:), POINTER :: data_z => NULL()\n TYPE(mp_type_descriptor_type), DIMENSION(:), POINTER :: subtype => NULL()\n INTEGER :: vector_descriptor(2) = -1\n LOGICAL :: has_indexing = .FALSE.\n TYPE(mp_indexing_meta_type) :: index_descriptor = mp_indexing_meta_type()\n END TYPE mp_type_descriptor_type\n\n TYPE mp_file_indexing_meta_type\n INTEGER, DIMENSION(:), POINTER :: index => NULL()\n INTEGER(kind=address_kind), &\n DIMENSION(:), POINTER :: chunks => NULL()\n END TYPE mp_file_indexing_meta_type\n\n ! type internally used to store message passing performance indicators\n! **************************************************************************************************\n TYPE mp_perf_type\n CHARACTER(LEN=20) :: name = \"\"\n INTEGER :: count = -1\n REAL(KIND=dp) :: msg_size = -1.0_dp\n END TYPE mp_perf_type\n\n INTEGER, PARAMETER :: MAX_PERF = 28\n\n! **************************************************************************************************\n TYPE mp_perf_env_type\n !private\n INTEGER :: ref_count = -1, id_nr = -1\n TYPE(mp_perf_type), DIMENSION(MAX_PERF) :: mp_perfs = mp_perf_type()\n END TYPE mp_perf_env_type\n\n! **************************************************************************************************\n TYPE mp_perf_env_p_type\n TYPE(mp_perf_env_type), POINTER :: mp_perf_env => Null()\n END TYPE mp_perf_env_p_type\n\n ! introduce a stack of mp_perfs, first index is the stack pointer, for convenience is replacing\n INTEGER, PARAMETER :: max_stack_size = 10\n INTEGER :: stack_pointer = 0\n ! target attribute needed as a hack around ifc 7.1 bug\n TYPE(mp_perf_env_p_type), DIMENSION(max_stack_size), TARGET, SAVE :: mp_perf_stack\n\n CHARACTER(LEN=20), PARAMETER :: sname(MAX_PERF) = &\n (/\"MP_Group \", \"MP_Bcast \", \"MP_Allreduce \", &\n \"MP_Gather \", \"MP_Sync \", \"MP_Alltoall \", &\n \"MP_SendRecv \", \"MP_ISendRecv \", \"MP_Wait \", &\n \"MP_comm_split \", \"MP_ISend \", \"MP_IRecv \", &\n \"MP_Send \", \"MP_Recv \", \"MP_Memory \", &\n \"MP_Put \", \"MP_Get \", \"MP_Fence \", &\n \"MP_Win_Lock \", \"MP_Win_Create \", \"MP_Win_Free \", &\n \"MP_IBcast \", \"MP_IAllreduce \", \"MP_IScatter \", &\n \"MP_RGet \", \"MP_Isync \", \"MP_Read_All \", &\n \"MP_Write_All \"/)\n\n ! we make some assumptions on the length of INTEGERS, REALS and LOGICALS\n INTEGER, PARAMETER :: intlen = BIT_SIZE(0)/8\n INTEGER, PARAMETER :: reallen = 8\n INTEGER, PARAMETER :: loglen = BIT_SIZE(0)/8\n INTEGER, PARAMETER :: charlen = 1\n INTEGER, SAVE, PRIVATE :: last_mp_perf_env_id = 0\n\nCONTAINS\n\n #:mute\n #:set types = [\"comm\", \"request\", \"win\", \"file\", \"info\"]\n #:endmute\n #:for type in types\n ELEMENTAL INTEGER FUNCTION mp_get_${type}$_handle(${type}$)\n CLASS(mp_${type}$_type), INTENT(IN) :: ${type}$\n\n#if defined(__parallel) && defined(__USE_MPI_F08)\n mp_get_${type}$_handle = ${type}$%handle%mpi_val\n#else\n mp_get_${type}$_handle = ${type}$%handle\n#endif\n\n END FUNCTION mp_get_${type}$_handle\n\n ELEMENTAL SUBROUTINE mp_set_${type}$_handle(${type}$, handle)\n CLASS(mp_${type}$_type), INTENT(INOUT) :: ${type}$\n INTEGER, INTENT(IN) :: handle\n\n#if defined(__parallel) && defined(__USE_MPI_F08)\n ${type}$%handle%mpi_val = handle\n#else\n ${type}$%handle = handle\n#endif\n\n END SUBROUTINE mp_set_${type}$_handle\n\n ELEMENTAL IMPURE LOGICAL FUNCTION mp_${type}$_op_eq(${type}$1, ${type}$2)\n CLASS(mp_${type}$_type), INTENT(IN) :: ${type}$1, ${type}$2\n\n#if defined(__parallel) && defined(__USE_MPI_F08)\n mp_${type}$_op_eq = (${type}$1%handle%mpi_val .EQ. ${type}$2%handle%mpi_val)\n#else\n mp_${type}$_op_eq = (${type}$1%handle .EQ. ${type}$2%handle)\n#endif\n\n END FUNCTION mp_${type}$_op_eq\n\n ELEMENTAL IMPURE LOGICAL FUNCTION mp_${type}$_op_ne(${type}$1, ${type}$2)\n CLASS(mp_${type}$_type), INTENT(IN) :: ${type}$1, ${type}$2\n\n#if defined(__parallel) && defined(__USE_MPI_F08)\n mp_${type}$_op_ne = (${type}$1%handle%mpi_val .NE. ${type}$2%handle%mpi_val)\n#else\n mp_${type}$_op_ne = (${type}$1%handle .NE. ${type}$2%handle)\n#endif\n\n END FUNCTION mp_${type}$_op_ne\n #:endfor\n\n SUBROUTINE mp_world_init(mp_comm)\n !! initializes the system default communicator\n !! @note\n !! should only be called once\n !! @endnote\n\n TYPE(mp_comm_type), INTENT(OUT) :: mp_comm\n !! [output] : handle of the default communicator\n#if defined(__parallel)\n INTEGER :: ierr\n!$ INTEGER :: provided_tsl\n!$ LOGICAL :: no_threading_support\n\n#if defined(__NO_MPI_THREAD_SUPPORT_CHECK)\n ! Hack that does not request or check MPI thread support level.\n ! User asserts that the MPI library will work correctly with\n ! threads.\n!\n!$ no_threading_support = .TRUE.\n#else\n ! Does the right thing when using OpenMP: requests that the MPI\n ! library supports funneled mode and verifies that the MPI library\n ! provides that support.\n !\n ! Developers: Only the master thread will ever make calls to the\n ! MPI library.\n!\n!$ no_threading_support = .FALSE.\n#endif\n!$ IF (no_threading_support) THEN\n CALL mpi_init(ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_init @ mp_world_init\")\n!$ ELSE\n!$OMP MASTER\n!$ CALL mpi_init_thread(MPI_THREAD_FUNNELED, provided_tsl, ierr)\n!$ IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_init_thread @ mp_world_init\")\n!$ IF (provided_tsl .LT. MPI_THREAD_FUNNELED) THEN\n!$ CALL mp_stop(0, \"MPI library does not support the requested level of threading (MPI_THREAD_FUNNELED).\")\n!$ END IF\n!$OMP END MASTER\n!$ END IF\n CALL mpi_comm_set_errhandler(MPI_COMM_WORLD, MPI_ERRORS_RETURN, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_set_errhandler @ mp_world_init\")\n debug_comm_count = 1\n#endif\n mp_comm = mp_comm_world\n CALL add_mp_perf_env()\n END SUBROUTINE mp_world_init\n\n FUNCTION mp_get_comm_count()\n !! Return the current number of communicators\n INTEGER :: mp_get_comm_count\n\n mp_get_comm_count = 0\n#if defined(__parallel)\n mp_get_comm_count = debug_comm_count\n#endif\n END FUNCTION mp_get_comm_count\n\n SUBROUTINE mp_reordering(mp_comm, mp_new_comm, ranks_order)\n !! re-create the system default communicator with a different MPI\n !! rank order\n !! @note\n !! should only be called once, at very beginning of CP2K run\n !! @endnote\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n !! [output] : handle of the default communicator\n TYPE(mp_comm_type), INTENT(out) :: mp_new_comm\n INTEGER, DIMENSION(:), CONTIGUOUS :: ranks_order\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_reordering'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n MPI_GROUP_TYPE :: newgroup, oldgroup\n TYPE(mp_comm_type) :: newcomm\n#endif\n\n CALL timeset(routineN, handle)\n ierr = 0\n#if defined(__parallel)\n\n CALL mpi_comm_group(mp_comm%handle, oldgroup, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_group @ \"//routineN)\n CALL mpi_group_incl(oldgroup, SIZE(ranks_order), ranks_order, newgroup, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_group_incl @ \"//routineN)\n\n CALL mpi_comm_create(mp_comm%handle, newgroup, newcomm%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_create @ \"//routineN)\n\n CALL mpi_group_free(oldgroup, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_group_free @ \"//routineN)\n CALL mpi_group_free(newgroup, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_group_free @ \"//routineN)\n\n ! update the system default communicator\n mp_new_comm = newcomm\n debug_comm_count = debug_comm_count + 1\n\n#else\n MARK_USED(ranks_order)\n mp_new_comm = mp_comm\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_reordering\n\n SUBROUTINE mp_world_finalize()\n !! finalizes the system default communicator\n\n#if defined(__parallel)\n INTEGER :: ierr\n CALL mpi_barrier(MPI_COMM_WORLD, ierr) ! call mpi directly to avoid 0 stack pointer\n CALL rm_mp_perf_env()\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_barrier @ mp_world_finalize\")\n debug_comm_count = debug_comm_count - 1\n IF (debug_comm_count .NE. 0) THEN\n ! A bug, we're leaking or double-freeing communicators. Needs to be fixed where the leak happens.\n ! Memory leak checking might be helpful to locate the culprit\n DBCSR_ABORT(\"mp_world_finalize: assert failed: leaking communicators\")\n END IF\n CALL mpi_finalize(ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_finalize @ mp_world_finalize\")\n#else\n CALL rm_mp_perf_env()\n#endif\n\n END SUBROUTINE mp_world_finalize\n\n! all the following routines should work for a given communicator, not MPI_WORLD\n\n SUBROUTINE add_mp_perf_env(perf_env)\n !! start and stop the performance indicators\n !! for every call to start there has to be (exactly) one call to stop\n !! @note\n !! can be used to measure performance of a sub-part of a program.\n !! timings measured here will not show up in the outer start/stops\n !! Doesn't need a fresh communicator\n !! @endnote\n\n TYPE(mp_perf_env_type), OPTIONAL, POINTER :: perf_env\n\n stack_pointer = stack_pointer + 1\n IF (stack_pointer > max_stack_size) THEN\n DBCSR_ABORT(\"stack_pointer too large : mpiwrap @ add_mp_perf_env\")\n END IF\n NULLIFY (mp_perf_stack(stack_pointer)%mp_perf_env)\n IF (PRESENT(perf_env)) THEN\n mp_perf_stack(stack_pointer)%mp_perf_env => perf_env\n IF (ASSOCIATED(perf_env)) CALL mp_perf_env_retain(perf_env)\n END IF\n IF (.NOT. ASSOCIATED(mp_perf_stack(stack_pointer)%mp_perf_env)) THEN\n CALL mp_perf_env_create(mp_perf_stack(stack_pointer)%mp_perf_env)\n END IF\n END SUBROUTINE add_mp_perf_env\n\n SUBROUTINE mp_perf_env_create(perf_env)\n TYPE(mp_perf_env_type), OPTIONAL, POINTER :: perf_env\n\n INTEGER :: i, stat\n\n NULLIFY (perf_env)\n ALLOCATE (perf_env, stat=stat)\n IF (stat /= 0) THEN\n DBCSR_ABORT(\"allocation failed in mp_perf_env_create\")\n END IF\n last_mp_perf_env_id = last_mp_perf_env_id + 1\n perf_env%id_nr = last_mp_perf_env_id\n perf_env%ref_count = 1\n DO i = 1, MAX_PERF\n perf_env%mp_perfs(i)%name = sname(i)\n perf_env%mp_perfs(i)%count = 0\n perf_env%mp_perfs(i)%msg_size = 0.0_dp\n END DO\n\n END SUBROUTINE mp_perf_env_create\n\n SUBROUTINE mp_perf_env_release(perf_env)\n TYPE(mp_perf_env_type), POINTER :: perf_env\n\n IF (ASSOCIATED(perf_env)) THEN\n IF (perf_env%ref_count < 1) THEN\n DBCSR_ABORT(\"invalid ref_count: mpiwrap @ mp_perf_env_release\")\n END IF\n perf_env%ref_count = perf_env%ref_count - 1\n IF (perf_env%ref_count == 0) THEN\n DEALLOCATE (perf_env)\n END IF\n END IF\n NULLIFY (perf_env)\n END SUBROUTINE mp_perf_env_release\n\n SUBROUTINE mp_perf_env_retain(perf_env)\n TYPE(mp_perf_env_type), POINTER :: perf_env\n\n IF (.NOT. ASSOCIATED(perf_env)) THEN\n DBCSR_ABORT(\"unassociated perf_env: mpiwrap @ mp_perf_env_retain\")\n END IF\n IF (perf_env%ref_count < 1) THEN\n DBCSR_ABORT(\"invalid ref_count: mpiwrap @ mp_perf_env_retain\")\n END IF\n perf_env%ref_count = perf_env%ref_count + 1\n END SUBROUTINE mp_perf_env_retain\n\n!.. reports the performance counters for the MPI run\n SUBROUTINE mp_perf_env_describe(perf_env, iw)\n TYPE(mp_perf_env_type), POINTER :: perf_env\n INTEGER, INTENT(IN) :: iw\n\n#if defined(__parallel)\n INTEGER :: i\n REAL(KIND=dp) :: vol\n#endif\n\n IF (.NOT. ASSOCIATED(perf_env)) THEN\n DBCSR_ABORT(\"unassociated perf_env : mpiwrap @ mp_perf_env_describe\")\n END IF\n IF (perf_env%ref_count < 1) THEN\n DBCSR_ABORT(\"invalid perf_env%ref_count : mpiwrap @ mp_perf_env_describe\")\n END IF\n#if defined(__parallel)\n IF (iw > 0) THEN\n WRITE (iw, '( \" -\", 77X, \"-\" )')\n WRITE (iw, '( \" -\", 21X, A, 21X, \"-\" )') ' DBCSR MESSAGE PASSING PERFORMANCE '\n WRITE (iw, '( \" -\", 77X, \"-\" )')\n WRITE (iw, '( 1X, 79(\"-\"))')\n WRITE (iw, '( A, A, A )') ' ROUTINE', ' CALLS ', &\n ' AVE VOLUME [Bytes]'\n DO i = 1, MAX_PERF\n\n IF (perf_env%mp_perfs(i)%count > 0) THEN\n vol = perf_env%mp_perfs(i)%msg_size/REAL(perf_env%mp_perfs(i)%count, KIND=dp)\n IF (vol < 1.0_dp) THEN\n WRITE (iw, '(1X,A15,T17,I10)') &\n ADJUSTL(perf_env%mp_perfs(i)%name), perf_env%mp_perfs(i)%count\n ELSE\n WRITE (iw, '(1X,A15,T17,I10,T40,F11.0)') &\n ADJUSTL(perf_env%mp_perfs(i)%name), perf_env%mp_perfs(i)%count, &\n vol\n END IF\n END IF\n\n END DO\n WRITE (iw, '( 1X, 79(\"-\"))')\n END IF\n#else\n MARK_USED(iw)\n#endif\n END SUBROUTINE mp_perf_env_describe\n\n SUBROUTINE rm_mp_perf_env()\n IF (stack_pointer < 1) THEN\n DBCSR_ABORT(\"no perf_env in the stack : mpiwrap @ rm_mp_perf_env\")\n END IF\n CALL mp_perf_env_release(mp_perf_stack(stack_pointer)%mp_perf_env)\n stack_pointer = stack_pointer - 1\n END SUBROUTINE rm_mp_perf_env\n\n PURE FUNCTION has_mp_perf_env() RESULT(res)\n LOGICAL :: res\n\n res = .FALSE.\n IF (stack_pointer < 1) RETURN\n IF (.NOT. ASSOCIATED(mp_perf_stack(stack_pointer)%mp_perf_env)) RETURN\n res = .TRUE.\n END FUNCTION has_mp_perf_env\n\n FUNCTION get_mp_perf_env() RESULT(res)\n TYPE(mp_perf_env_type), POINTER :: res\n\n IF (stack_pointer < 1) THEN\n DBCSR_ABORT(\"no perf_env in the stack : mpiwrap @ get_mp_perf_env\")\n END IF\n res => mp_perf_stack(stack_pointer)%mp_perf_env\n END FUNCTION get_mp_perf_env\n\n SUBROUTINE describe_mp_perf_env(scr)\n INTEGER, INTENT(in) :: scr\n\n TYPE(mp_perf_env_type), POINTER :: perf_env\n\n perf_env => get_mp_perf_env()\n CALL mp_perf_env_describe(perf_env, scr)\n END SUBROUTINE describe_mp_perf_env\n\n#if defined(__parallel)\n SUBROUTINE add_perf(perf_id, msg_size)\n !! adds the performance informations of one call\n INTEGER, INTENT(in) :: perf_id\n INTEGER, INTENT(in) :: msg_size\n\n TYPE(mp_perf_type), POINTER :: mp_perf\n\n IF (stack_pointer < 1) return\n IF (.NOT. ASSOCIATED(mp_perf_stack(stack_pointer)%mp_perf_env)) return\n\n mp_perf => mp_perf_stack(stack_pointer)%mp_perf_env%mp_perfs(perf_id)\n mp_perf%count = mp_perf%count + 1\n mp_perf%msg_size = mp_perf%msg_size + REAL(msg_size, dp)\n END SUBROUTINE add_perf\n#endif\n\n SUBROUTINE mp_abort()\n !! globally stops all tasks\n !! this is intended to be low level, most of CP2K should call dbcsr_abort()\n\n INTEGER :: ierr\n\n ierr = 0\n\n#if !defined(__NO_ABORT)\n#if defined(__parallel)\n CALL mpi_abort(MPI_COMM_WORLD, 1, ierr)\n#else\n CALL m_abort()\n#endif\n#endif\n ! this routine never returns and levels with non-zero exit code\n STOP 1\n END SUBROUTINE mp_abort\n\n SUBROUTINE mp_stop(ierr, prg_code)\n !! stops *after an mpi error* translating the error code\n !! @note\n !! this function is private to mpiwrap.F\n !! @endnote\n\n INTEGER, INTENT(IN) :: ierr\n !! an error code * returned by an mpi call *\n CHARACTER(LEN=*) :: prg_code\n\n#if defined(__parallel)\n INTEGER :: istat, len\n CHARACTER(LEN=MPI_MAX_ERROR_STRING) :: error_string\n CHARACTER(LEN=MPI_MAX_ERROR_STRING + 512) :: full_error\n#else\n CHARACTER(LEN=512) :: full_error\n#endif\n\n#if defined(__parallel)\n CALL mpi_error_string(ierr, error_string, len, istat)\n WRITE (full_error, '(A,I0,A)') ' MPI error ', ierr, ' in '//TRIM(prg_code)//' : '//error_string(1:len)\n#else\n WRITE (full_error, '(A,I0,A)') ' MPI error (!?) ', ierr, ' in '//TRIM(prg_code)\n#endif\n\n DBCSR_ABORT(full_error)\n\n END SUBROUTINE mp_stop\n\n SUBROUTINE mp_sync(group)\n !! synchronizes with a barrier a given group of mpi tasks\n\n TYPE(mp_comm_type), INTENT(IN) :: group\n !! mpi communicator\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sync'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_barrier(group%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_barrier @ \"//routineN)\n#else\n MARK_USED(group)\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_sync\n\n SUBROUTINE mp_isync(group, request)\n !! synchronizes with a barrier a given group of mpi tasks\n\n TYPE(mp_comm_type), INTENT(IN) :: group\n !! mpi communicator\n TYPE(mp_request_type), INTENT(OUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isync'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_ibarrier(group%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_ibarrier @ \"//routineN)\n#else\n MARK_USED(group)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_isync\n\n RECURSIVE SUBROUTINE mp_environ_l(numtask, taskid, groupid)\n !! returns number of tasks and task id for a given mpi group\n !! simple and cartesian version.. recursive needed in case of failing mpi_comm_rank.\n !! @note\n !! mp_world_setup is gone, use mp_environ instead (i.e. give a groupid explicitly)\n !! @endnote\n\n INTEGER, OPTIONAL, INTENT(OUT) :: numtask, taskid\n TYPE(mp_comm_type), INTENT(IN) :: groupid\n !! mpi communicator\n\n INTEGER :: ierr\n\n ierr = 0\n\n IF (PRESENT(numtask)) numtask = 1\n IF (PRESENT(taskid)) taskid = 0\n#if defined(__parallel)\n IF (PRESENT(taskid)) THEN\n CALL mpi_comm_rank(groupid%handle, taskid, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_rank @ mp_environ_l\")\n END IF\n\n IF (PRESENT(numtask)) THEN\n CALL mpi_comm_size(groupid%handle, numtask, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_size @ mp_environ_l\")\n END IF\n#else\n MARK_USED(groupid)\n#endif\n\n END SUBROUTINE mp_environ_l\n\n SUBROUTINE mp_environ_c(numtask, dims, task_coor, groupid)\n\n INTEGER, INTENT(OUT) :: numtask, dims(2), &\n task_coor(2)\n TYPE(mp_comm_type), INTENT(IN) :: groupid\n\n INTEGER :: ierr\n#if defined(__parallel)\n LOGICAL, DIMENSION(2) :: periods\n#endif\n\n ierr = 0\n numtask = 1\n task_coor = 0\n dims = 1\n#if defined(__parallel)\n CALL mpi_comm_size(groupid%handle, numtask, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_size @ mp_environ_c\")\n\n CALL mpi_cart_get(groupid%handle, 2, dims, periods, task_coor, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_cart_get @ mp_environ_c\")\n#else\n MARK_USED(groupid)\n#endif\n\n END SUBROUTINE mp_environ_c\n\n SUBROUTINE mp_environ_c2(comm, ndims, dims, task_coor, periods)\n\n TYPE(mp_comm_type), INTENT(IN) :: comm\n INTEGER, INTENT(IN) :: ndims\n INTEGER, INTENT(OUT) :: dims(ndims), task_coor(ndims)\n LOGICAL, INTENT(out) :: periods(ndims)\n\n INTEGER :: ierr\n\n ierr = 0\n\n task_coor = 0\n dims = 1\n periods = .FALSE.\n#if defined(__parallel)\n CALL mpi_cart_get(comm%handle, ndims, dims, periods, task_coor, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_cart_get @ mp_environ_c\")\n#else\n MARK_USED(comm)\n#endif\n\n END SUBROUTINE mp_environ_c2\n\n!..mp_cart_create\n SUBROUTINE mp_cart_create(comm_old, ndims, dims, pos, comm_cart)\n\n TYPE(mp_comm_type), INTENT(IN) :: comm_old\n INTEGER, INTENT(IN) :: ndims\n INTEGER, CONTIGUOUS, INTENT(INOUT) :: dims(:)\n INTEGER, CONTIGUOUS, INTENT(OUT) :: pos(:)\n TYPE(mp_comm_type), INTENT(OUT) :: comm_cart\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_cart_create'\n\n INTEGER :: handle, ierr, nodes\n#if defined(__parallel)\n LOGICAL, DIMENSION(1:ndims) :: period\n LOGICAL :: reorder\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n nodes = 0\n pos(1:ndims) = -1\n comm_cart = comm_old\n#if defined(__parallel)\n\n CALL mpi_comm_size(comm_old%handle, nodes, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_size @ \"//routineN)\n\n IF (ANY(dims == 0)) CALL mpi_dims_create(nodes, ndims, dims, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_dims_create @ \"//routineN)\n\n ! FIX ME. Quick hack to avoid problems with realspace grids for compilers\n ! like IBM that actually reorder the processors when creating the new\n ! communicator\n reorder = .FALSE.\n period = .TRUE.\n CALL mpi_cart_create(comm_old%handle, ndims, dims, period, reorder, comm_cart%handle, &\n ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_cart_create @ \"//routineN)\n\n IF (comm_cart /= MP_COMM_NULL) THEN\n debug_comm_count = debug_comm_count + 1\n CALL mpi_cart_get(comm_cart%handle, ndims, dims, period, pos, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_cart_get @ \"//routineN)\n END IF\n#else\n pos(1:ndims) = 0\n dims = 1\n comm_cart = mp_comm_self\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_cart_create\n\n!..mp_cart_coords\n SUBROUTINE mp_cart_coords(comm, rank, coords)\n\n TYPE(mp_comm_type), INTENT(IN) :: comm\n INTEGER, INTENT(IN) :: rank\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(OUT) :: coords\n\n INTEGER :: ierr, m\n\n ierr = 0\n\n m = SIZE(coords)\n#if defined(__parallel)\n CALL mpi_cart_coords(comm%handle, rank, m, coords, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_cart_coords @ mp_cart_coords\")\n#else\n coords = 0\n MARK_USED(rank)\n MARK_USED(comm)\n#endif\n\n END SUBROUTINE mp_cart_coords\n\n!..mp_comm_compare\n SUBROUTINE mp_comm_compare(comm1, comm2, res)\n\n TYPE(mp_comm_type), INTENT(IN) :: comm1, comm2\n INTEGER, INTENT(OUT) :: res\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_comm_compare'\n\n INTEGER :: handle, ierr, iout\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n iout = 0\n res = 0\n#if defined(__parallel)\n CALL mpi_comm_compare(comm1%handle, comm2%handle, iout, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_compare @ \"//routineN)\n SELECT CASE (iout)\n CASE (MPI_IDENT)\n res = 0\n CASE (MPI_CONGRUENT)\n res = 1\n CASE (MPI_SIMILAR)\n res = 2\n CASE (MPI_UNEQUAL)\n res = 3\n CASE default\n res = 4\n END SELECT\n#else\n MARK_USED(comm1)\n MARK_USED(comm2)\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_comm_compare\n\n!..mp_cart_sub\n SUBROUTINE mp_cart_sub(comm, rdim, sub_comm)\n\n TYPE(mp_comm_type), INTENT(IN) :: comm\n LOGICAL, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: rdim\n TYPE(mp_comm_type), INTENT(OUT) :: sub_comm\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_cart_sub'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n sub_comm = comm\n#if defined(__parallel)\n CALL mpi_cart_sub(comm%handle, rdim, sub_comm%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_cart_sub @ \"//routineN)\n debug_comm_count = debug_comm_count + 1\n#else\n MARK_USED(comm)\n MARK_USED(rdim)\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_cart_sub\n\n!..mp_comm_free\n SUBROUTINE mp_comm_free(comm)\n\n TYPE(mp_comm_type), INTENT(INOUT) :: comm\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_comm_free'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_comm_free(comm%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_free @ \"//routineN)\n debug_comm_count = debug_comm_count - 1\n#else\n MARK_USED(comm)\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_comm_free\n\n!..mp_comm_dup\n SUBROUTINE mp_comm_dup(comm1, comm2)\n\n TYPE(mp_comm_type), INTENT(IN) :: comm1\n TYPE(mp_comm_type), INTENT(OUT) :: comm2\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_comm_dup'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_comm_dup(comm1%handle, comm2%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_dup @ \"//routineN)\n debug_comm_count = debug_comm_count + 1\n#else\n comm2 = comm1\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_comm_dup\n\n!..mp_rank_compare\n SUBROUTINE mp_rank_compare(comm1, comm2, rank)\n\n TYPE(mp_comm_type), INTENT(IN) :: comm1, comm2\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(OUT) :: rank\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_rank_compare'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: i, n, n1, n2\n INTEGER, ALLOCATABLE, DIMENSION(:) :: rin\n MPI_GROUP_TYPE :: g1, g2\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n rank = 0\n#if defined(__parallel)\n CALL mpi_comm_size(comm1%handle, n1, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_size @ \"//routineN)\n CALL mpi_comm_size(comm2%handle, n2, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_size @ \"//routineN)\n n = MAX(n1, n2)\n CALL mpi_comm_group(comm1%handle, g1, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_group @ \"//routineN)\n CALL mpi_comm_group(comm2%handle, g2, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_group @ \"//routineN)\n ALLOCATE (rin(0:n - 1), STAT=ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"allocate @ \"//routineN)\n DO i = 0, n - 1\n rin(i) = i\n END DO\n CALL mpi_group_translate_ranks(g1, n, rin, g2, rank, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, &\n \"mpi_group_translate_rank @ \"//routineN)\n CALL mpi_group_free(g1, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"group_free @ \"//routineN)\n CALL mpi_group_free(g2, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"group_free @ \"//routineN)\n DEALLOCATE (rin)\n#else\n MARK_USED(comm1)\n MARK_USED(comm2)\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_rank_compare\n\n!..mp_dims_create\n SUBROUTINE mp_dims_create(nodes, dims)\n\n INTEGER, INTENT(IN) :: nodes\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(INOUT) :: dims\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_dims_create'\n\n INTEGER :: handle, ierr, ndim\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n ndim = SIZE(dims)\n#if defined(__parallel)\n IF (ANY(dims == 0)) CALL mpi_dims_create(nodes, ndim, dims, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_dims_create @ \"//routineN)\n#else\n dims = 1\n MARK_USED(nodes)\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_dims_create\n\n!..mp_cart_rank\n SUBROUTINE mp_cart_rank(group, pos, rank)\n TYPE(mp_comm_type), INTENT(IN) :: group\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: pos\n INTEGER, INTENT(OUT) :: rank\n\n INTEGER :: ierr\n\n ierr = 0\n\n#if defined(__parallel)\n CALL mpi_cart_rank(group%handle, pos, rank, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_cart_rank @ mp_cart_rank\")\n#else\n rank = 0\n MARK_USED(group)\n MARK_USED(pos)\n#endif\n\n END SUBROUTINE mp_cart_rank\n\n SUBROUTINE mp_wait(request)\n !! waits for completion of the given request\n !! @note\n !! see isendrecv\n !! @endnote\n\n TYPE(mp_request_type), INTENT(inout) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_wait'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_wait(request%handle, MPI_STATUS_IGNORE, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_wait @ \"//routineN)\n#else\n MARK_USED(request)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_wait\n\n SUBROUTINE mp_waitall_1(requests)\n !! waits for completion of the given requests\n !! @note\n !! see isendrecv\n !! @endnote\n\n TYPE(mp_request_type), DIMENSION(:), INTENT(inout) :: requests\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_waitall_1'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: count\n MPI_STATUS_TYPE_ARRAY(SIZE(requests)) :: status\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n count = SIZE(requests)\n CALL mpi_waitall_internal(count, requests, status, ierr) ! MPI_STATUSES_IGNORE openmpi workaround\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_waitall @ \"//routineN)\n#else\n MARK_USED(requests)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_waitall_1\n\n SUBROUTINE mp_waitall_2(requests)\n !! waits for completion of the given requests\n TYPE(mp_request_type), DIMENSION(:, :), INTENT(inout) :: requests\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_waitall_2'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: count\n MPI_STATUS_TYPE_ARRAY(SIZE(requests)) :: status\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n count = SIZE(requests)\n\n CALL mpi_waitall_internal(count, requests, status, ierr) ! MPI_STATUSES_IGNORE openmpi workaround\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_waitall @ \"//routineN)\n#else\n MARK_USED(requests)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_waitall_2\n\n#if defined(__parallel)\n SUBROUTINE mpi_waitall_internal(count, array_of_requests, array_of_statuses, ierr)\n !! wrapper needed to deal with interfaces as present in openmpi 1.8.1\n !! the issue is with the rank or requests\n\n INTEGER, INTENT(in) :: count\n TYPE(mp_request_type), DIMENSION(count), INTENT(inout) :: array_of_requests\n MPI_STATUS_TYPE_ARRAY(*), INTENT(inout) :: array_of_statuses\n INTEGER, INTENT(out) :: ierr\n\n INTEGER :: i\n MPI_REQUEST_TYPE, DIMENSION(count) :: request_handles\n\n DO i = 1, count\n request_handles(i) = array_of_requests(i)%handle\n END DO\n\n CALL mpi_waitall(count, request_handles, array_of_statuses, ierr)\n\n DO i = 1, count\n array_of_requests(i)%handle = request_handles(i)\n END DO\n\n END SUBROUTINE mpi_waitall_internal\n#endif\n\n SUBROUTINE mp_waitany(requests, completed)\n !! waits for completion of any of the given requests\n TYPE(mp_request_type), DIMENSION(:), INTENT(inout) :: requests\n INTEGER, INTENT(out) :: completed\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_waitany'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: count, i\n MPI_REQUEST_TYPE, DIMENSION(SIZE(requests)) :: request_handles\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n count = SIZE(requests)\n\n DO i = 1, count\n request_handles(i) = requests(i)%handle\n END DO\n\n CALL mpi_waitany(count, request_handles, completed, MPI_STATUS_IGNORE, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_waitany @ \"//routineN)\n\n DO i = 1, count\n requests(i)%handle = request_handles(i)\n END DO\n#else\n MARK_USED(requests)\n completed = 1\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_waitany\n\n FUNCTION mp_testall_tv(requests) RESULT(flag)\n !! Tests for completion of the given requests.\n !! We use mpi_test so that we can use a single status.\n\n TYPE(mp_request_type), DIMENSION(:) :: requests\n !! the list of requests to test\n LOGICAL :: flag\n !! logical which determines if requests are complete\n\n INTEGER :: ierr\n\n#if defined(__parallel)\n INTEGER :: i\n LOGICAL, DIMENSION(:), ALLOCATABLE :: flags\n#endif\n\n ierr = 0\n flag = .TRUE.\n\n#if defined(__parallel)\n ALLOCATE (flags(SIZE(requests)))\n DO i = 1, SIZE(requests)\n CALL mpi_test(requests(i)%handle, flags(i), MPI_STATUS_IGNORE, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_test @ mp_testall_tv\")\n flag = flag .AND. flags(i)\n END DO\n DEALLOCATE (flags)\n#else\n requests = mp_request_null\n#endif\n END FUNCTION mp_testall_tv\n\n SUBROUTINE mp_test_1(request, flag)\n !! Tests for completion of the given request.\n\n TYPE(mp_request_type), INTENT(inout) :: request\n !! the request\n LOGICAL, INTENT(out) :: flag\n !! logical which determines if the request is completed\n\n INTEGER :: ierr\n\n ierr = 0\n\n#if defined(__parallel)\n CALL mpi_test(request%handle, flag, MPI_STATUS_IGNORE, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_test @ mp_test_1\")\n#else\n MARK_USED(request)\n flag = .TRUE.\n#endif\n END SUBROUTINE mp_test_1\n\n SUBROUTINE mp_testany_1(requests, completed, flag)\n !! tests for completion of the given requests\n TYPE(mp_request_type), DIMENSION(:), INTENT(inout) :: requests\n INTEGER, INTENT(out), OPTIONAL :: completed\n LOGICAL, INTENT(out), OPTIONAL :: flag\n\n INTEGER :: ierr\n#if defined(__parallel)\n INTEGER :: completed_l, count\n LOGICAL :: flag_l\n#endif\n\n ierr = 0\n\n#if defined(__parallel)\n count = SIZE(requests)\n\n CALL mpi_testany_internal(count, requests, completed_l, flag_l, MPI_STATUS_IGNORE, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_testany_1 @ mp_testany\")\n\n IF (PRESENT(completed)) completed = completed_l\n IF (PRESENT(flag)) flag = flag_l\n#else\n MARK_USED(requests)\n IF (PRESENT(completed)) completed = 1\n IF (PRESENT(flag)) flag = .TRUE.\n#endif\n END SUBROUTINE mp_testany_1\n\n SUBROUTINE mp_testany_2(requests, completed, flag)\n !! tests for completion of the given requests\n TYPE(mp_request_type), DIMENSION(:, :), INTENT(inout) :: requests\n INTEGER, INTENT(out), OPTIONAL :: completed\n LOGICAL, INTENT(out), OPTIONAL :: flag\n\n INTEGER :: ierr\n#if defined(__parallel)\n INTEGER :: completed_l, count\n LOGICAL :: flag_l\n#endif\n\n ierr = 0\n\n#if defined(__parallel)\n count = SIZE(requests)\n\n CALL mpi_testany_internal(count, requests, completed_l, flag_l, MPI_STATUS_IGNORE, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_testany_2 @ mp_testany\")\n\n IF (PRESENT(completed)) completed = completed_l\n IF (PRESENT(flag)) flag = flag_l\n#else\n MARK_USED(requests)\n IF (PRESENT(completed)) completed = 1\n IF (PRESENT(flag)) flag = .TRUE.\n#endif\n END SUBROUTINE mp_testany_2\n\n#if defined(__parallel)\n SUBROUTINE mpi_testany_internal(count, array_of_requests, index, flag, status, ierr)\n !! wrapper needed to deal with interfaces as present in openmpi 1.8.1\n !! the issue is with the rank or requests\n\n INTEGER, INTENT(in) :: count\n TYPE(mp_request_type), DIMENSION(count), INTENT(inout) :: array_of_requests\n INTEGER, INTENT(out) :: index\n LOGICAL, INTENT(out) :: flag\n MPI_STATUS_TYPE :: status\n INTEGER, INTENT(out) :: ierr\n\n INTEGER :: i\n MPI_REQUEST_TYPE, DIMENSION(count) :: request_handles\n\n DO i = 1, count\n request_handles(i) = array_of_requests(i)%handle\n END DO\n\n CALL mpi_testany(count, request_handles, index, flag, status, ierr)\n\n DO i = 1, count\n array_of_requests(i)%handle = request_handles(i)\n END DO\n\n END SUBROUTINE mpi_testany_internal\n#endif\n\n SUBROUTINE mp_comm_split_direct(comm, sub_comm, color, key)\n !! the direct way to split a communicator each color is a sub_comm,\n !! the rank order is accoring to the order in the orig comm\n\n TYPE(mp_comm_type), INTENT(in) :: comm\n TYPE(mp_comm_type), INTENT(OUT) :: sub_comm\n INTEGER, INTENT(in) :: color\n INTEGER, INTENT(in), OPTIONAL :: key\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_comm_split_direct'\n\n INTEGER :: handle, ierr, my_key\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n my_key = 0\n#if defined(__parallel)\n IF (PRESENT(key)) my_key = key\n CALL mpi_comm_split(comm%handle, color, my_key, sub_comm%handle, ierr)\n debug_comm_count = debug_comm_count + 1\n IF (ierr /= mpi_success) CALL mp_stop(ierr, routineN)\n#else\n CALL mp_comm_dup(comm, sub_comm)\n MARK_USED(color)\n MARK_USED(key)\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_comm_split_direct\n\n SUBROUTINE mp_comm_split(comm, sub_comm, ngroups, group_distribution, &\n subgroup_min_size, n_subgroups, group_partition, stride)\n !! splits the given communicator in group in subgroups trying to organize\n !! them in a way that the communication within each subgroup is\n !! efficient (but not necessarily the communication between subgroups)\n !! @note\n !! at least one of subgroup_min_size and n_subgroups is needed,\n !! the other default to the value needed to use most processors.\n !! if less cpus are present than needed for subgroup min size, n_subgroups,\n !! just one comm is created that contains all cpus\n !! @endnote\n\n TYPE(mp_comm_type), INTENT(in) :: comm\n !! the mpi communicator that you want to split\n TYPE(mp_comm_type), INTENT(out) :: sub_comm\n !! the communicator for the subgroup (created, needs to be freed later)\n INTEGER, INTENT(out) :: ngroups\n !! actual number of groups\n INTEGER, DIMENSION(0:) :: group_distribution\n !! input : allocated with array with the nprocs entries (0 .. nprocs-1)\n INTEGER, INTENT(in), OPTIONAL :: subgroup_min_size, n_subgroups\n !! the minimum size of the subgroup\n !! the number of subgroups wanted\n INTEGER, DIMENSION(0:), OPTIONAL :: group_partition\n !! n_subgroups sized array containing the number of cpus wanted per group. should match the total number of cpus (only used\n !! if present and associated) (0..ngroups-1)\n INTEGER, OPTIONAL :: stride\n !! create groups using a stride (default=1) through the ranks of the comm to be split.\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_comm_split', routineP = moduleN//':'//routineN\n\n INTEGER :: handle, ierr, mepos, nnodes\n#if defined(__parallel)\n INTEGER :: color, i, j, k, &\n my_subgroup_min_size, &\n istride, local_stride, irank\n INTEGER, DIMENSION(:), ALLOCATABLE :: rank_permutation\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n ! actual number of groups\n\n IF (.NOT. PRESENT(subgroup_min_size) .AND. .NOT. PRESENT(n_subgroups)) THEN\n DBCSR_ABORT(routineP//\" missing arguments\")\n END IF\n IF (PRESENT(subgroup_min_size) .AND. PRESENT(n_subgroups)) THEN\n DBCSR_ABORT(routineP//\" too many arguments\")\n END IF\n\n CALL mp_environ(nnodes, mepos, comm)\n\n IF (UBOUND(group_distribution, 1) .NE. nnodes - 1) THEN\n DBCSR_ABORT(routineP//\" group_distribution wrong bounds\")\n END IF\n\n#if defined(__parallel)\n IF (PRESENT(subgroup_min_size)) THEN\n IF (subgroup_min_size < 0 .OR. subgroup_min_size > nnodes) THEN\n DBCSR_ABORT(routineP//\" subgroup_min_size too small or too large\")\n END IF\n ngroups = nnodes/subgroup_min_size\n my_subgroup_min_size = subgroup_min_size\n ELSE ! n_subgroups\n IF (n_subgroups <= 0) THEN\n DBCSR_ABORT(routineP//\" n_subgroups too small\")\n END IF\n IF (nnodes/n_subgroups > 0) THEN ! we have a least one cpu per group\n ngroups = n_subgroups\n ELSE ! well, only one group then\n ngroups = 1\n END IF\n my_subgroup_min_size = nnodes/ngroups\n END IF\n\n ! rank_permutation: is a permutation of ranks, so that groups are not necessarily continuous in rank of the master group\n ! while the order is not critical (we only color ranks), it can e.g. be used to make groups that have just 1 rank per node\n ! (by setting stride equal to the number of mpi ranks per node), or by sharing a node between two groups (stride 2).\n ALLOCATE (rank_permutation(0:nnodes - 1))\n local_stride = 1\n IF (PRESENT(stride)) local_stride = stride\n k = 0\n DO istride = 1, local_stride\n DO irank = istride - 1, nnodes - 1, local_stride\n rank_permutation(k) = irank\n k = k + 1\n END DO\n END DO\n\n DO i = 0, nnodes - 1\n group_distribution(rank_permutation(i)) = MIN(i/my_subgroup_min_size, ngroups - 1)\n END DO\n ! even the user gave a partition, see if we can use it to overwrite this choice\n IF (PRESENT(group_partition)) THEN\n IF (ALL(group_partition > 0) .AND. (SUM(group_partition) .EQ. nnodes) .AND. (ngroups == SIZE(group_partition))) THEN\n k = 0\n DO i = 0, SIZE(group_partition) - 1\n DO j = 1, group_partition(i)\n group_distribution(rank_permutation(k)) = i\n k = k + 1\n END DO\n END DO\n ELSE\n ! just ignore silently as we have reasonable defaults. Probably a warning would not be to bad\n END IF\n END IF\n color = group_distribution(mepos)\n CALL mpi_comm_split(comm%handle, color, 0, sub_comm%handle, ierr)\n debug_comm_count = debug_comm_count + 1\n IF (ierr /= mpi_success) CALL mp_stop(ierr, \"in \"//routineP//\" split\")\n#else\n CALL mp_comm_dup(comm, sub_comm)\n group_distribution(0) = 0\n ngroups = 1\n MARK_USED(stride)\n MARK_USED(group_partition)\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_comm_split\n\n SUBROUTINE mp_probe(source, comm, tag)\n !! probes for an incoming message with any tag\n\n INTEGER :: source\n !! the source of the possible incoming message, if MP_ANY_SOURCE it is a blocking one and return value is the source of the\n !! next incoming message if source is a different value it is a non-blocking probe retuning MP_ANY_SOURCE if there is no\n !! incoming message\n TYPE(mp_comm_type), INTENT(IN) :: comm\n !! the communicator\n INTEGER, INTENT(OUT) :: tag\n !! the tag of the incoming message\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_probe'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n MPI_STATUS_TYPE :: status_single\n LOGICAL :: flag\n#endif\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n ierr = 0\n#if defined(__parallel)\n IF (source .EQ. mp_any_source) THEN\n CALL mpi_probe(mp_any_source, mp_any_tag, comm%handle, status_single, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_probe @ \"//routineN)\n source = status_single MPI_STATUS_EXTRACT(MPI_SOURCE)\n tag = status_single MPI_STATUS_EXTRACT(MPI_TAG)\n ELSE\n flag = .FALSE.\n CALL mpi_iprobe(source, mp_any_tag, comm%handle, flag, status_single, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iprobe @ \"//routineN)\n IF (flag .EQV. .FALSE.) THEN\n source = mp_any_source\n tag = -1 !status_single MPI_STATUS_EXTRACT(MPI_TAG) ! in case of flag==false status is undefined\n ELSE\n tag = status_single MPI_STATUS_EXTRACT(MPI_TAG)\n END IF\n END IF\n#else\n tag = -1\n MARK_USED(comm)\n MARK_USED(source)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_probe\n\n! **************************************************************************************************\n! Here come the data routines with none of the standard data types.\n! **************************************************************************************************\n\n SUBROUTINE mp_bcast_b(msg, source, gid)\n LOGICAL :: msg\n INTEGER :: source\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_bcast_b'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_bcast(msg, msglen, MPI_LOGICAL, source, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_bcast @ \"//routineN)\n CALL add_perf(perf_id=2, msg_size=msglen*loglen)\n#else\n MARK_USED(msg)\n MARK_USED(source)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_bcast_b\n\n SUBROUTINE mp_bcast_bv(msg, source, gid)\n LOGICAL, CONTIGUOUS :: msg(:)\n INTEGER :: source\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_bcast_bv'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_bcast(msg, msglen, MPI_LOGICAL, source, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_bcast @ \"//routineN)\n CALL add_perf(perf_id=2, msg_size=msglen*loglen)\n#else\n MARK_USED(source)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_bcast_bv\n\n SUBROUTINE mp_isend_bv(msgin, dest, comm, request, tag)\n !! Non-blocking send of logical vector data\n !! @note\n !! see mp_irecv_iv\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n LOGICAL, DIMENSION(:), CONTIGUOUS :: msgin\n !! the input message\n INTEGER, INTENT(IN) :: dest\n !! the destination processor\n TYPE(mp_comm_type), INTENT(IN) :: comm\n !! the communicator object\n TYPE(mp_request_type), INTENT(out) :: request\n !! communication request index\n INTEGER, INTENT(in), OPTIONAL :: tag\n !! message tag\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isend_bv'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, my_tag\n LOGICAL :: foo(1)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n msglen = SIZE(msgin, 1)\n IF (msglen > 0) THEN\n CALL mpi_isend(msgin, msglen, MPI_LOGICAL, dest, my_tag, &\n comm%handle, request%handle, ierr)\n ELSE\n CALL mpi_isend(foo, msglen, MPI_LOGICAL, dest, my_tag, &\n comm%handle, request%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_isend @ \"//routineN)\n\n CALL add_perf(perf_id=11, msg_size=msglen*loglen)\n#else\n DBCSR_ABORT(\"mp_isend called in non parallel case\")\n MARK_USED(msgin)\n MARK_USED(dest)\n MARK_USED(comm)\n MARK_USED(request)\n MARK_USED(tag)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_isend_bv\n\n SUBROUTINE mp_irecv_bv(msgout, source, comm, request, tag)\n !! Non-blocking receive of logical vector data\n !! @note\n !! see mp_irecv_iv\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n LOGICAL, DIMENSION(:), CONTIGUOUS :: msgout\n !! the received message\n INTEGER, INTENT(IN) :: source\n !! the source processor\n TYPE(mp_comm_type), INTENT(IN) :: comm\n !! the communicator object\n TYPE(mp_request_type), INTENT(out) :: request\n !! communication request index\n INTEGER, INTENT(in), OPTIONAL :: tag\n !! message tag\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_irecv_bv'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, my_tag\n LOGICAL :: foo(1)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n msglen = SIZE(msgout, 1)\n IF (msglen > 0) THEN\n CALL mpi_irecv(msgout, msglen, MPI_LOGICAL, source, my_tag, &\n comm%handle, request%handle, ierr)\n ELSE\n CALL mpi_irecv(foo, msglen, MPI_LOGICAL, source, my_tag, &\n comm%handle, request%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_ircv @ \"//routineN)\n\n CALL add_perf(perf_id=12, msg_size=msglen*loglen)\n#else\n DBCSR_ABORT(\"mp_irecv called in non parallel case\")\n MARK_USED(msgout)\n MARK_USED(source)\n MARK_USED(comm)\n MARK_USED(request)\n MARK_USED(tag)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_irecv_bv\n\n SUBROUTINE mp_bcast_av(msg, source, gid)\n CHARACTER(LEN=*) :: msg\n INTEGER :: source\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_bcast_av'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: i, msglen, numtask, taskid\n INTEGER, DIMENSION(:), ALLOCATABLE :: imsg\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n\n CALL mp_environ(numtask, taskid, gid)\n IF (taskid == source) msglen = LEN_TRIM(msg)\n\n CALL mp_bcast(msglen, source, gid)\n ! this is a workaround to avoid problems on the T3E\n ! at the moment we have a data alignment error when trying to\n ! broadcast characters on the T3E (not always!)\n ! JH 19/3/99 on galileo\n ! CALL mpi_bcast(msg,msglen,MPI_CHARACTER,source,gid,ierr)\n ALLOCATE (imsg(1:msglen))\n DO i = 1, msglen\n imsg(i) = ICHAR(msg(i:i))\n END DO\n CALL mpi_bcast(imsg, msglen, MPI_INTEGER, source, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_bcast @ \"//routineN)\n msg = \"\"\n DO i = 1, msglen\n msg(i:i) = CHAR(imsg(i))\n END DO\n DEALLOCATE (imsg)\n CALL add_perf(perf_id=2, msg_size=msglen*charlen)\n#else\n MARK_USED(msg)\n MARK_USED(source)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_bcast_av\n\n SUBROUTINE mp_bcast_am(msg, source, gid)\n CHARACTER(LEN=*) :: msg(:)\n INTEGER :: source\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_bcast_am'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: i, j, k, msglen, msgsiz, &\n numtask, taskid\n INTEGER, ALLOCATABLE :: imsg(:), imsglen(:)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mp_environ(numtask, taskid, gid)\n msgsiz = SIZE(msg)\n ! Determine size of the minimum array of integers to broadcast the string\n ALLOCATE (imsglen(1:msgsiz))\n DO j = 1, msgsiz\n IF (taskid == source) imsglen(j) = LEN_TRIM(msg(j))\n END DO\n CALL mp_bcast(imsglen, source, gid)\n msglen = SUM(imsglen)\n ! this is a workaround to avoid problems on the T3E\n ! at the moment we have a data alignment error when trying to\n ! broadcast characters on the T3E (not always!)\n ! JH 19/3/99 on galileo\n ! CALL mpi_bcast(msg,msglen,MPI_CHARACTER,source,gid,ierr)\n ALLOCATE (imsg(1:msglen))\n k = 0\n DO j = 1, msgsiz\n DO i = 1, imsglen(j)\n k = k + 1\n imsg(k) = ICHAR(msg(j) (i:i))\n END DO\n END DO\n CALL mpi_bcast(imsg, msglen, MPI_INTEGER, source, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_bcast @ \"//routineN)\n msg = \"\"\n k = 0\n DO j = 1, msgsiz\n DO i = 1, imsglen(j)\n k = k + 1\n msg(j) (i:i) = CHAR(imsg(k))\n END DO\n END DO\n DEALLOCATE (imsg)\n DEALLOCATE (imsglen)\n CALL add_perf(perf_id=2, msg_size=msglen*charlen*msgsiz)\n#else\n MARK_USED(msg)\n MARK_USED(source)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_bcast_am\n\n SUBROUTINE mp_minloc_dv(msg, gid)\n !! Finds the location of the minimal element in a vector.\n !!\n !! MPI mapping\n !! mpi_allreduce with the MPI_MINLOC reduction function identifier\n !!\n !! Invalid data types\n !! This routine is invalid for (int_8) data!\n\n REAL(kind=real_8), CONTIGUOUS, INTENT(INOUT) :: msg(:)\n !! Find location of maximum element among these data (input).\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_minloc_dv'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen\n REAL(kind=real_8), ALLOCATABLE :: res(:)\n#endif\n\n ierr = 0\n IF (\"d\" .EQ. \"l\" .AND. real_8 .EQ. int_8) THEN\n DBCSR_ABORT(\"Minimal location not available with long integers @ \"//routineN)\n END IF\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n msglen = SIZE(msg)\n ALLOCATE (res(1:msglen), STAT=ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"allocate @ \"//routineN)\n CALL mpi_allreduce(msg, res, msglen/2, MPI_2DOUBLE_PRECISION, MPI_MINLOC, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n msg = res\n DEALLOCATE (res)\n CALL add_perf(perf_id=3, msg_size=msglen*real_8_size)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_minloc_dv\n\n SUBROUTINE mp_maxloc_dv(msg, gid)\n !! Finds the location of the maximal element in a vector.\n !!\n !! MPI mapping\n !! mpi_allreduce with the MPI_MAXLOC reduction function identifier\n !!\n !! Invalid data types\n !! This routine is invalid for (int_8) data!\n\n REAL(kind=real_8), CONTIGUOUS, INTENT(INOUT) :: msg(:)\n !! Find location of maximum element among these data (input).\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_maxloc_dv'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen\n REAL(kind=real_8), ALLOCATABLE :: res(:)\n#endif\n\n ierr = 0\n IF (\"d\" .EQ. \"l\" .AND. real_8 .EQ. int_8) THEN\n DBCSR_ABORT(\"Maximal location not available with long integers @ \"//routineN)\n END IF\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n msglen = SIZE(msg)\n ALLOCATE (res(1:msglen))\n CALL mpi_allreduce(msg, res, msglen/2, MPI_2DOUBLE_PRECISION, MPI_MAXLOC, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n msg = res\n DEALLOCATE (res)\n CALL add_perf(perf_id=3, msg_size=msglen*real_8_size)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_maxloc_dv\n\n SUBROUTINE mp_sum_b(msg, gid)\n !! Logical OR reduction\n !!\n !! MPI mapping\n !! mpi_allreduce\n\n LOGICAL, INTENT(INOUT) :: msg\n !! Datum to perform inclusive disjunction (input) and resultant inclusive disjunction (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_b'\n\n INTEGER :: handle, ierr, msglen\n\n CALL timeset(routineN, handle)\n ierr = 0\n msglen = 1\n#if defined(__parallel)\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, MPI_LOGICAL, MPI_LOR, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_b\n\n SUBROUTINE mp_sum_bv(msg, gid)\n !! Logical OR reduction\n !!\n !! MPI mapping\n !! mpi_allreduce\n\n LOGICAL, DIMENSION(:), CONTIGUOUS, INTENT(INOUT) :: msg\n !! Datum to perform inclusive disjunction (input) and resultant inclusive disjunction (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_bv'\n\n INTEGER :: handle, ierr, msglen\n\n CALL timeset(routineN, handle)\n ierr = 0\n msglen = SIZE(msg)\n#if defined(__parallel)\n IF (msglen .GT. 0) THEN\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, MPI_LOGICAL, MPI_LOR, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n END IF\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_bv\n\n SUBROUTINE mp_isum_bv(msg, gid, request)\n !! Logical OR reduction\n !!\n !! MPI mapping\n !! mpi_allreduce\n\n LOGICAL, DIMENSION(:), CONTIGUOUS, INTENT(INOUT) :: msg\n !! Datum to perform inclusive disjunction (input) and resultant inclusive disjunction (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isum_bv'\n\n INTEGER :: handle, ierr, msglen\n\n CALL timeset(routineN, handle)\n ierr = 0\n msglen = SIZE(msg)\n#if defined(__parallel)\n IF (msglen .GT. 0) THEN\n CALL mpi_iallreduce(MPI_IN_PLACE, msg, msglen, MPI_LOGICAL, MPI_LOR, gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallreduce @ \"//routineN)\n ELSE\n request = mp_request_null\n END IF\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n MARK_USED(request)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_isum_bv\n\n SUBROUTINE mp_get_library_version(version, resultlen)\n !! Get Version of the MPI Library (MPI 3)\n\n CHARACTER(LEN=*), INTENT(OUT) :: version\n !! Version of the library, declared as CHARACTER(LEN=mp_max_library_version_string)\n INTEGER, INTENT(OUT) :: resultlen\n !! Length (in printable characters) of the result returned in version (integer)\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_get_library_version'\n\n INTEGER :: ierr\n\n ierr = 0\n CALL mpi_get_library_version(version, resultlen, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_get_library_version @ \"//routineN)\n#else\n version = ''\n resultlen = 0\n#endif\n END SUBROUTINE mp_get_library_version\n\n SUBROUTINE mp_get_processor_name(procname, resultlen)\n !! Get a unique specifier for the actual (as opposed to virtual) node (MPI 2.1)\n\n CHARACTER(LEN=*), INTENT(OUT) :: procname\n !! Name of processor\n INTEGER, OPTIONAL, INTENT(OUT) :: resultlen\n !! Length (in characters) of procname (INTEGER)\n\n#if defined(__parallel)\n INTEGER :: namelen, ierr\n\n CALL mpi_get_processor_name(procname, namelen, ierr)\n IF (ierr .EQ. 0) THEN\n IF (PRESENT(resultlen)) resultlen = namelen\n ELSE\n#endif\n CALL m_hostnm(procname)\n IF (PRESENT(resultlen)) resultlen = LEN_TRIM(procname)\n#if defined(__parallel)\n END IF\n#endif\n END SUBROUTINE mp_get_processor_name\n\n SUBROUTINE mp_file_open(groupid, fh, filepath, amode_status, info)\n !! Opens a file\n !!\n !! MPI-I/O mapping mpi_file_open\n !!\n !! STREAM-I/O mapping OPEN\n\n TYPE(mp_comm_type), INTENT(IN) :: groupid\n !! message passing environment identifier\n TYPE(mp_file_type), INTENT(OUT) :: fh\n !! file handle (file storage unit)\n CHARACTER(LEN=*), INTENT(IN) :: filepath\n !! path to the file\n INTEGER, INTENT(IN) :: amode_status\n !! access mode\n TYPE(mp_info_type), INTENT(IN), OPTIONAL :: info\n !! info object\n\n INTEGER :: ierr, istat\n#if defined(__parallel)\n MPI_INFO_TYPE :: my_info\n#else\n CHARACTER(LEN=10) :: fstatus, fposition\n INTEGER :: amode, file_handle\n LOGICAL :: exists, is_open\n#endif\n\n ierr = 0\n istat = 0\n#if defined(__parallel)\n my_info = mpi_info_null\n IF (PRESENT(info)) my_info = info%handle\n CALL mpi_file_open(groupid%handle, filepath, amode_status, my_info, fh%handle, ierr)\n CALL mpi_file_set_errhandler(fh%handle, MPI_ERRORS_RETURN, ierr)\n IF (ierr .NE. 0) CALL mp_stop(ierr, \"mpi_file_set_errhandler @ mp_file_open\")\n#else\n MARK_USED(groupid)\n MARK_USED(info)\n amode = amode_status\n IF (amode .GT. file_amode_append) THEN\n fposition = \"APPEND\"\n amode = amode - file_amode_append\n ELSE\n fposition = \"REWIND\"\n END IF\n IF ((amode .EQ. file_amode_create) .OR. &\n (amode .EQ. file_amode_create + file_amode_wronly) .OR. &\n (amode .EQ. file_amode_create + file_amode_wronly + file_amode_excl)) THEN\n fstatus = \"UNKNOWN\"\n ELSE\n fstatus = \"OLD\"\n END IF\n ! Get a new unit number\n DO file_handle = 1, 999\n INQUIRE (UNIT=file_handle, EXIST=exists, OPENED=is_open, IOSTAT=istat)\n IF (exists .AND. (.NOT. is_open) .AND. (istat == 0)) EXIT\n END DO\n fh%handle = file_handle\n OPEN (UNIT=fh%handle, FILE=filepath, STATUS=fstatus, ACCESS=\"STREAM\", POSITION=fposition)\n#endif\n END SUBROUTINE mp_file_open\n\n SUBROUTINE mp_file_delete(filepath, info)\n !! Deletes a file. Auxiliary routine to emulate 'replace' action for mp_file_open.\n !! Only the master processor should call this routine.\n\n CHARACTER(LEN=*), INTENT(IN) :: filepath\n !! path to the file\n TYPE(mp_info_type), INTENT(IN), OPTIONAL :: info\n !! info object\n\n#if defined(__parallel)\n INTEGER :: ierr\n MPI_INFO_TYPE :: my_info\n LOGICAL :: exists\n#endif\n\n#if defined(__parallel)\n ierr = 0\n my_info = mpi_info_null\n IF (PRESENT(info)) my_info = info%handle\n INQUIRE (FILE=filepath, EXIST=exists)\n IF (exists) CALL mpi_file_delete(filepath, my_info, ierr)\n IF (ierr .NE. 0) CALL mp_stop(ierr, \"mpi_file_set_errhandler @ mp_file_delete\")\n#else\n MARK_USED(filepath)\n MARK_USED(info)\n ! Explicit file delete not necessary, handled by subsequent call to open_file with action 'replace'\n#endif\n\n END SUBROUTINE mp_file_delete\n\n SUBROUTINE mp_file_close(fh)\n !! Closes a file\n !!\n !! MPI-I/O mapping mpi_file_close\n !!\n !! STREAM-I/O mapping CLOSE\n\n TYPE(mp_file_type), INTENT(INOUT) :: fh\n !! file handle (file storage unit)\n\n INTEGER :: ierr\n\n ierr = 0\n#if defined(__parallel)\n CALL mpi_file_set_errhandler(fh%handle, MPI_ERRORS_RETURN, ierr)\n CALL mpi_file_close(fh%handle, ierr)\n IF (ierr .NE. 0) CALL mp_stop(ierr, \"mpi_file_set_errhandler @ mp_file_close\")\n#else\n CLOSE (fh%handle)\n#endif\n END SUBROUTINE mp_file_close\n\n SUBROUTINE mp_file_get_size(fh, file_size)\n !! Returns the file size\n !!\n !! MPI-I/O mapping mpi_file_get_size\n !!\n !! STREAM-I/O mapping INQUIRE\n\n TYPE(mp_file_type), INTENT(IN) :: fh\n !! file handle (file storage unit)\n INTEGER(kind=file_offset), INTENT(OUT) :: file_size\n !! the file size\n\n INTEGER :: ierr\n\n ierr = 0\n#if defined(__parallel)\n CALL mpi_file_set_errhandler(fh%handle, MPI_ERRORS_RETURN, ierr)\n CALL mpi_file_get_size(fh%handle, file_size, ierr)\n IF (ierr .NE. 0) CALL mp_stop(ierr, \"mpi_file_set_errhandler @ mp_file_get_size\")\n#else\n INQUIRE (UNIT=fh%handle, SIZE=file_size)\n#endif\n END SUBROUTINE mp_file_get_size\n\n SUBROUTINE mp_file_get_position(fh, pos)\n !! Returns the file position\n !!\n !! MPI-I/O mapping mpi_file_get_position\n !!\n !! STREAM-I/O mapping INQUIRE\n\n TYPE(mp_file_type), INTENT(IN) :: fh\n !! file handle (file storage unit)\n INTEGER(kind=file_offset), INTENT(OUT) :: pos\n !! the file position\n\n INTEGER :: ierr\n\n ierr = 0\n#if defined(__parallel)\n CALL mpi_file_set_errhandler(fh%handle, MPI_ERRORS_RETURN, ierr)\n CALL mpi_file_get_position(fh%handle, pos, ierr)\n IF (ierr .NE. 0) CALL mp_stop(ierr, \"mpi_file_set_errhandler @ mp_file_get_position\")\n#else\n INQUIRE (UNIT=fh%handle, POS=pos)\n#endif\n END SUBROUTINE mp_file_get_position\n\n SUBROUTINE mp_file_write_at_ch(fh, offset, msg)\n CHARACTER(LEN=*), INTENT(IN) :: msg\n TYPE(mp_file_type), INTENT(IN) :: fh\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_write_at_ch'\n\n INTEGER :: ierr\n\n CALL MPI_FILE_WRITE_AT(fh%handle, offset, msg, LEN(msg), MPI_CHARACTER, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_write_at_ch @ \"//routineN)\n#else\n WRITE (UNIT=fh%handle, POS=offset + 1) msg\n#endif\n END SUBROUTINE mp_file_write_at_ch\n\n SUBROUTINE mp_file_write_at_all_ch(fh, offset, msg)\n CHARACTER(LEN=*), INTENT(IN) :: msg\n TYPE(mp_file_type), INTENT(IN) :: fh\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_write_at_all_ch'\n\n INTEGER :: ierr\n\n CALL MPI_FILE_WRITE_AT_ALL(fh%handle, offset, msg, LEN(msg), MPI_CHARACTER, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_write_at_all_ch @ \"//routineN)\n#else\n WRITE (UNIT=fh%handle, POS=offset + 1) msg\n#endif\n END SUBROUTINE mp_file_write_at_all_ch\n\n SUBROUTINE mp_file_read_at_all_ch(fh, offset, msg)\n CHARACTER(LEN=*), INTENT(OUT) :: msg\n TYPE(mp_file_type), INTENT(IN) :: fh\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_read_at_all_ch'\n\n INTEGER :: ierr\n\n CALL MPI_FILE_READ_AT_ALL(fh%handle, offset, msg, LEN(msg), MPI_CHARACTER, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_read_at_all_ch @ \"//routineN)\n#else\n READ (UNIT=fh%handle, POS=offset + 1) msg\n#endif\n END SUBROUTINE mp_file_read_at_all_ch\n\n SUBROUTINE mp_type_size(type_descriptor, type_size)\n !! Returns the size of a data type in bytes\n !!\n !! MPI mapping\n !! mpi_type_size\n\n TYPE(mp_type_descriptor_type), INTENT(IN) :: type_descriptor\n !! data type\n INTEGER, INTENT(OUT) :: type_size\n !! size of the data type\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_type_size'\n INTEGER :: ierr\n\n ierr = 0\n CALL MPI_TYPE_SIZE(type_descriptor%type_handle, type_size, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_type_size @ \"//routineN)\n#else\n SELECT CASE (type_descriptor%type_handle)\n CASE (1)\n type_size = real_4_size\n CASE (3)\n type_size = real_8_size\n CASE (5)\n type_size = 2*real_4_size\n CASE (7)\n type_size = 2*real_8_size\n END SELECT\n#endif\n END SUBROUTINE mp_type_size\n\n FUNCTION mp_type_make_struct(subtypes, &\n vector_descriptor, index_descriptor) &\n RESULT(type_descriptor)\n TYPE(mp_type_descriptor_type), &\n DIMENSION(:), INTENT(IN) :: subtypes\n INTEGER, DIMENSION(2), INTENT(IN), &\n OPTIONAL :: vector_descriptor\n TYPE(mp_indexing_meta_type), &\n INTENT(IN), OPTIONAL :: index_descriptor\n TYPE(mp_type_descriptor_type) :: type_descriptor\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_type_make_struct'\n\n INTEGER :: i, ierr, n\n#if defined(__parallel)\n INTEGER(kind=mpi_address_kind), &\n ALLOCATABLE, DIMENSION(:) :: displacements\n#endif\n INTEGER, DIMENSION(SIZE(subtypes)) :: lengths\n MPI_DATA_TYPE, DIMENSION(SIZE(subtypes)) :: old_types\n\n ierr = 0\n n = SIZE(subtypes)\n !type_descriptor%mpi_type_handle = MPI_DATATYPE_NULL\n type_descriptor%length = 1\n#if defined(__parallel)\n CALL mpi_get_address(MPI_BOTTOM, type_descriptor%base, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"MPI_get_address @ \"//routineN)\n ALLOCATE (displacements(n))\n#endif\n type_descriptor%vector_descriptor(1:2) = 1\n type_descriptor%has_indexing = .FALSE.\n ALLOCATE (type_descriptor%subtype(n))\n type_descriptor%subtype(:) = subtypes(:)\n DO i = 1, SIZE(subtypes)\n#if defined(__parallel)\n displacements(i) = subtypes(i)%base\n#endif\n old_types(i) = subtypes(i)%type_handle\n lengths(i) = subtypes(i)%length\n END DO\n#if defined(__parallel)\n CALL MPI_Type_create_struct(n, &\n lengths, displacements, old_types, &\n type_descriptor%type_handle, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"MPI_Type_create_struct @ \"//routineN)\n CALL MPI_Type_commit(type_descriptor%type_handle, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"MPI_Type_commit @ \"//routineN)\n#endif\n IF (PRESENT(vector_descriptor) .OR. PRESENT(index_descriptor)) THEN\n DBCSR_ABORT(routineN//\" Vectors and indices NYI\")\n END IF\n END FUNCTION mp_type_make_struct\n\n RECURSIVE SUBROUTINE mp_type_free_m(type_descriptor)\n TYPE(mp_type_descriptor_type), INTENT(inout) :: type_descriptor\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_type_free_m'\n\n INTEGER :: handle, i, ierr\n\n CALL timeset(routineN, handle)\n ierr = 0\n\n ! If the subtype is associated, then it's a user-defined data type.\n\n IF (ASSOCIATED(type_descriptor%subtype)) THEN\n DO i = 1, SIZE(type_descriptor%subtype)\n CALL mp_type_free_m(type_descriptor%subtype(i))\n END DO\n DEALLOCATE (type_descriptor%subtype)\n END IF\n#if defined(__parallel)\n CALL MPI_Type_free(type_descriptor%type_handle, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"MPI_Type_free @ \"//routineN)\n#endif\n\n CALL timestop(handle)\n\n END SUBROUTINE mp_type_free_m\n\n SUBROUTINE mp_isend_custom(msgin, dest, comm, request, tag)\n !! Non-blocking send of custom type\n TYPE(mp_type_descriptor_type), INTENT(IN) :: msgin\n INTEGER, INTENT(IN) :: dest\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_request_type), INTENT(out) :: request\n INTEGER, INTENT(in), OPTIONAL :: tag\n\n INTEGER :: ierr\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isend_custom'\n INTEGER :: my_tag\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n ierr = 0\n CALL mpi_isend(MPI_BOTTOM, 1, msgin%type_handle, dest, my_tag, &\n comm%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_isend @ \"//routineN)\n#else\n MARK_USED(msgin)\n MARK_USED(dest)\n MARK_USED(comm)\n MARK_USED(request)\n MARK_USED(tag)\n ierr = 1\n request = mp_request_null\n CALL mp_stop(ierr, \"mp_isend called in non parallel case\")\n#endif\n END SUBROUTINE mp_isend_custom\n\n SUBROUTINE mp_irecv_custom(msgout, source, comm, request, tag)\n !! Non-blocking receive of vector data\n TYPE(mp_type_descriptor_type), INTENT(INOUT) :: msgout\n INTEGER, INTENT(IN) :: source\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_request_type), INTENT(out) :: request\n INTEGER, INTENT(in), OPTIONAL :: tag\n\n INTEGER :: ierr\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_irecv_custom'\n INTEGER :: my_tag\n ierr = 0\n my_tag = 0\n\n IF (PRESENT(tag)) my_tag = tag\n\n CALL mpi_irecv(MPI_BOTTOM, 1, msgout%type_handle, source, my_tag, &\n comm%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_irecv @ \"//routineN)\n#else\n MARK_USED(msgout)\n MARK_USED(source)\n MARK_USED(comm)\n MARK_USED(request)\n MARK_USED(tag)\n ierr = 1\n request = mp_request_null\n DBCSR_ABORT(\"mp_irecv called in non parallel case\")\n#endif\n END SUBROUTINE mp_irecv_custom\n\n SUBROUTINE mp_win_free(win)\n !! Window free\n TYPE(mp_win_type), INTENT(INOUT) :: win\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_win_free'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n\n CALL mpi_win_free(win%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_win_free @ \"//routineN)\n#else\n MARK_USED(win)\n win = mp_win_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_win_free\n\n SUBROUTINE mp_win_flush_all(win)\n !! Window flush\n TYPE(mp_win_type), INTENT(IN) :: win\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_win_flush_all'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_win_flush_all(win%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_win_flush_all @ \"//routineN)\n#else\n MARK_USED(win)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_win_flush_all\n\n SUBROUTINE mp_win_lock_all(win)\n !! Window lock\n TYPE(mp_win_type), INTENT(INOUT) :: win\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_win_lock_all'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n\n CALL mpi_win_lock_all(MPI_MODE_NOCHECK, win%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_win_lock_all @ \"//routineN)\n#else\n MARK_USED(win)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_win_lock_all\n\n SUBROUTINE mp_win_unlock_all(win)\n !! Window lock\n TYPE(mp_win_type), INTENT(INOUT) :: win\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_win_unlock_all'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n\n CALL mpi_win_unlock_all(win%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_win_unlock_all @ \"//routineN)\n#else\n MARK_USED(win)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_win_unlock_all\n\n #:for nametype1, type1, mpi_type1, mpi_2type1, kind1, bytes1, handle1, zero1, one1 in inst_params\n SUBROUTINE mp_alltoall_${nametype1}$11v(sb, scount, sdispl, rb, rcount, rdispl, group)\n !! All-to-all data exchange, rank-1 data of different sizes\n !!\n !! MPI mapping\n !! mpi_alltoallv\n !!\n !! Array sizes\n !! The scount, rcount, and the sdispl and rdispl arrays have a\n !! size equal to the number of processes.\n !!\n !! Offsets\n !! Values in sdispl and rdispl start with 0.\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: sb(:)\n !! Data to send\n INTEGER, CONTIGUOUS, INTENT(IN) :: scount(:), sdispl(:)\n !! Data counts for data sent to other processes\n !! Respective data offsets for data sent to process\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: rb(:)\n !! Buffer into which to receive data\n INTEGER, CONTIGUOUS, INTENT(IN) :: rcount(:), rdispl(:)\n !! Data counts for data received from other processes\n !! Respective data offsets for data received from other processes\n TYPE(mp_comm_type), INTENT(IN) :: group\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_alltoall_${nametype1}$11v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen\n#else\n INTEGER :: i\n#endif\n\n CALL timeset(routineN, handle)\n\n ierr = 0\n#if defined(__parallel)\n CALL mpi_alltoallv(sb, scount, sdispl, ${mpi_type1}$, &\n rb, rcount, rdispl, ${mpi_type1}$, group%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_alltoallv @ \"//routineN)\n msglen = SUM(scount) + SUM(rcount)\n CALL add_perf(perf_id=6, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(group)\n MARK_USED(scount)\n MARK_USED(sdispl)\n!$OMP PARALLEL DO DEFAULT(NONE) PRIVATE(i) SHARED(rcount,rdispl,sdispl,rb,sb)\n DO i = 1, rcount(1)\n rb(rdispl(1) + i) = sb(sdispl(1) + i)\n END DO\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_alltoall_${nametype1}$11v\n\n SUBROUTINE mp_alltoall_${nametype1}$ (sb, rb, count, group)\n !! All-to-all data exchange, rank 1 arrays, equal sizes\n !!\n !! Index meaning\n !!\n !! The first two indices specify the data while the last index counts\n !! the processes\n !!\n !! Sizes of ranks\n !! All processes have the same data size.\n !!\n !! MPI mapping\n !! mpi_alltoall\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: sb(:)\n !! array with data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: rb(:)\n !! array into which data is received\n INTEGER, INTENT(IN) :: count\n !! number of elements to send/receive (product of the extents of the first two dimensions)\n TYPE(mp_comm_type), INTENT(IN) :: group\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_alltoall_${nametype1}$'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, np\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_alltoall(sb, count, ${mpi_type1}$, &\n rb, count, ${mpi_type1}$, group%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_alltoall @ \"//routineN)\n CALL mpi_comm_size(group%handle, np, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_size @ \"//routineN)\n msglen = 2*count*np\n CALL add_perf(perf_id=6, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(count)\n MARK_USED(group)\n rb = sb\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_alltoall_${nametype1}$\n\n SUBROUTINE mp_alltoall_${nametype1}$22(sb, rb, count, group)\n !! All-to-all data exchange, rank-2 arrays, equal sizes\n !! @note\n !! see mp_alltoall_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: sb(:, :)\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: rb(:, :)\n INTEGER, INTENT(IN) :: count\n TYPE(mp_comm_type), INTENT(IN) :: group\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_alltoall_${nametype1}$22'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, np\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_alltoall(sb, count, ${mpi_type1}$, &\n rb, count, ${mpi_type1}$, group%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_alltoall @ \"//routineN)\n CALL mpi_comm_size(group%handle, np, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_size @ \"//routineN)\n msglen = 2*SIZE(sb)*np\n CALL add_perf(perf_id=6, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(count)\n MARK_USED(group)\n rb = sb\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_alltoall_${nametype1}$22\n\n SUBROUTINE mp_alltoall_${nametype1}$44(sb, rb, count, group)\n !! All-to-all data exchange, rank 4 data, equal sizes\n !! @note\n !! see mp_alltoall_${nametype1}$\n !! @endnote\n\n ${type1}$, DIMENSION(:, :, :, :), CONTIGUOUS, &\n INTENT(IN) :: sb\n ${type1}$, DIMENSION(:, :, :, :), CONTIGUOUS, &\n INTENT(OUT) :: rb\n INTEGER, INTENT(IN) :: count\n TYPE(mp_comm_type), INTENT(IN) :: group\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_alltoall_${nametype1}$44'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, np\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_alltoall(sb, count, ${mpi_type1}$, &\n rb, count, ${mpi_type1}$, group%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_alltoall @ \"//routineN)\n CALL mpi_comm_size(group%handle, np, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_size @ \"//routineN)\n msglen = 2*count*np\n CALL add_perf(perf_id=6, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(count)\n MARK_USED(group)\n rb = sb\n#endif\n CALL timestop(handle)\n\n END SUBROUTINE mp_alltoall_${nametype1}$44\n\n SUBROUTINE mp_send_${nametype1}$ (msg, dest, tag, gid)\n !! Send one datum to another process\n !!\n !! MPI mapping\n !! mpi_send\n\n ${type1}$ :: msg\n !! Scalar to send\n INTEGER :: dest, tag\n !! Destination process\n !! Transfer identifier\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_send_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_send(msg, msglen, ${mpi_type1}$, dest, tag, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_send @ \"//routineN)\n CALL add_perf(perf_id=13, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(dest)\n MARK_USED(tag)\n MARK_USED(gid)\n ! only defined in parallel\n DBCSR_ABORT(\"not in parallel mode\")\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_send_${nametype1}$\n\n SUBROUTINE mp_send_${nametype1}$v(msg, dest, tag, gid)\n !! Send rank-1 data to another process\n !! @note\n !! see mp_send_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS :: msg(:)\n !! Rank-1 data to send\n INTEGER :: dest, tag\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_send_${nametype1}$v'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_send(msg, msglen, ${mpi_type1}$, dest, tag, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_send @ \"//routineN)\n CALL add_perf(perf_id=13, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(dest)\n MARK_USED(tag)\n MARK_USED(gid)\n ! only defined in parallel\n DBCSR_ABORT(\"not in parallel mode\")\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_send_${nametype1}$v\n\n SUBROUTINE mp_recv_${nametype1}$ (msg, source, tag, gid)\n !! Receive one datum from another process\n !!\n !! MPI mapping\n !! mpi_send\n\n ${type1}$, INTENT(INOUT) :: msg\n !! Place received data into this variable\n INTEGER, INTENT(INOUT) :: source, tag\n !! Process to receive from\n !! Transfer identifier\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_recv_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n#if defined(__parallel)\n MPI_STATUS_TYPE :: status\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_recv(msg, msglen, ${mpi_type1}$, source, tag, gid%handle, status, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_recv @ \"//routineN)\n CALL add_perf(perf_id=14, msg_size=msglen*${bytes1}$)\n source = status MPI_STATUS_EXTRACT(MPI_SOURCE)\n tag = status MPI_STATUS_EXTRACT(MPI_TAG)\n#else\n MARK_USED(msg)\n MARK_USED(source)\n MARK_USED(tag)\n MARK_USED(gid)\n ! only defined in parallel\n DBCSR_ABORT(\"not in parallel mode\")\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_recv_${nametype1}$\n\n SUBROUTINE mp_recv_${nametype1}$v(msg, source, tag, gid)\n !! Receive rank-1 data from another process\n !! @note\n !! see mp_recv_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:)\n !! Place received data into this rank-1 array\n INTEGER, INTENT(INOUT) :: source, tag\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_recv_${nametype1}$v'\n\n INTEGER :: handle, ierr, msglen\n#if defined(__parallel)\n MPI_STATUS_TYPE :: status\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_recv(msg, msglen, ${mpi_type1}$, source, tag, gid%handle, status, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_recv @ \"//routineN)\n CALL add_perf(perf_id=14, msg_size=msglen*${bytes1}$)\n source = status MPI_STATUS_EXTRACT(MPI_SOURCE)\n tag = status MPI_STATUS_EXTRACT(MPI_TAG)\n#else\n MARK_USED(msg)\n MARK_USED(source)\n MARK_USED(tag)\n MARK_USED(gid)\n ! only defined in parallel\n DBCSR_ABORT(\"not in parallel mode\")\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_recv_${nametype1}$v\n\n SUBROUTINE mp_bcast_${nametype1}$ (msg, source, gid)\n !! Broadcasts a datum to all processes.\n !!\n !! MPI mapping\n !! mpi_bcast\n\n ${type1}$ :: msg\n !! Datum to broadcast\n INTEGER :: source\n !! Processes which broadcasts\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_bcast_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_bcast(msg, msglen, ${mpi_type1}$, source, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_bcast @ \"//routineN)\n CALL add_perf(perf_id=2, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(source)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_bcast_${nametype1}$\n\n SUBROUTINE mp_ibcast_${nametype1}$ (msg, source, gid, request)\n !! Broadcasts a datum to all processes.\n !!\n !! MPI mapping\n !! mpi_bcast\n\n ${type1}$ :: msg\n !! Datum to broadcast\n INTEGER :: source\n !! Processes which broadcasts\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_ibcast_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_ibcast(msg, msglen, ${mpi_type1}$, source, gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_ibcast @ \"//routineN)\n CALL add_perf(perf_id=22, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(source)\n MARK_USED(gid)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_ibcast_${nametype1}$\n\n SUBROUTINE mp_bcast_${nametype1}$v(msg, source, gid)\n !! Broadcasts rank-1 data to all processes\n !! @note\n !! see mp_bcast_${nametype1}$1\n !! @endnote\n\n ${type1}$, CONTIGUOUS :: msg(:)\n !! Data to broadcast\n INTEGER :: source\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_bcast_${nametype1}$v'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_bcast(msg, msglen, ${mpi_type1}$, source, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_bcast @ \"//routineN)\n CALL add_perf(perf_id=2, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(source)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_bcast_${nametype1}$v\n\n SUBROUTINE mp_ibcast_${nametype1}$v(msg, source, gid, request)\n !! Broadcasts rank-1 data to all processes\n !! @note\n !! see mp_bcast_${nametype1}$1\n !! @endnote\n\n ${type1}$, CONTIGUOUS :: msg(:)\n !! Data to broadcast\n INTEGER :: source\n TYPE(mp_comm_type), INTENT(IN) :: gid\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_ibcast_${nametype1}$v'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_ibcast(msg, msglen, ${mpi_type1}$, source, gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_ibcast @ \"//routineN)\n CALL add_perf(perf_id=22, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(source)\n MARK_USED(gid)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_ibcast_${nametype1}$v\n\n SUBROUTINE mp_bcast_${nametype1}$m(msg, source, gid)\n !! Broadcasts rank-2 data to all processes\n !! @note\n !! see mp_bcast_${nametype1}$1\n !! @endnote\n\n ${type1}$, CONTIGUOUS :: msg(:, :)\n !! Data to broadcast\n INTEGER :: source\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_bcast_im'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_bcast(msg, msglen, ${mpi_type1}$, source, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_bcast @ \"//routineN)\n CALL add_perf(perf_id=2, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(source)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_bcast_${nametype1}$m\n\n SUBROUTINE mp_bcast_${nametype1}$3(msg, source, gid)\n !! Broadcasts rank-3 data to all processes\n !! @note\n !! see mp_bcast_${nametype1}$1\n !! @endnote\n\n ${type1}$, CONTIGUOUS :: msg(:, :, :)\n !! Data to broadcast\n INTEGER :: source\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_bcast_${nametype1}$3'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_bcast(msg, msglen, ${mpi_type1}$, source, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_bcast @ \"//routineN)\n CALL add_perf(perf_id=2, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(source)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_bcast_${nametype1}$3\n\n SUBROUTINE mp_sum_${nametype1}$ (msg, gid)\n !! Sums a datum from all processes with result left on all processes.\n !!\n !! MPI mapping\n !! mpi_allreduce\n\n ${type1}$, INTENT(INOUT) :: msg\n !! Datum to sum (input) and result (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_SUM, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_${nametype1}$\n\n SUBROUTINE mp_sum_${nametype1}$v(msg, gid)\n !! Element-wise sum of a rank-1 array on all processes.\n !! @note\n !! see mp_sum_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:)\n !! Vector to sum and result\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n msglen = SIZE(msg)\n IF (msglen > 0) THEN\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_SUM, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n END IF\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_${nametype1}$v\n\n SUBROUTINE mp_isum_${nametype1}$v(msg, gid, request)\n !! Element-wise sum of a rank-1 array on all processes.\n !! @note\n !! see mp_sum_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:)\n !! Vector to sum and result\n TYPE(mp_comm_type), INTENT(IN) :: gid\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isum_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n msglen = SIZE(msg)\n IF (msglen > 0) THEN\n CALL mpi_iallreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_SUM, gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallreduce @ \"//routineN)\n ELSE\n request = mp_request_null\n END IF\n CALL add_perf(perf_id=23, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_isum_${nametype1}$v\n\n SUBROUTINE mp_sum_${nametype1}$m(msg, gid)\n !! Element-wise sum of a rank-2 array on all processes.\n !! @note\n !! see mp_sum_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:, :)\n !! Matrix to sum and result\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_${nametype1}$m'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER, PARAMETER :: max_msg = 2**25\n INTEGER :: m1, msglen, step, msglensum\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n ! chunk up the call so that message sizes are limited, to avoid overflows in mpich triggered in large rpa calcs\n step = MAX(1, SIZE(msg, 2)/MAX(1, SIZE(msg)/max_msg))\n msglensum = 0\n DO m1 = LBOUND(msg, 2), UBOUND(msg, 2), step\n msglen = SIZE(msg, 1)*(MIN(UBOUND(msg, 2), m1 + step - 1) - m1 + 1)\n msglensum = msglensum + msglen\n IF (msglen > 0) THEN\n CALL mpi_allreduce(MPI_IN_PLACE, msg(LBOUND(msg, 1), m1), msglen, ${mpi_type1}$, MPI_SUM, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n END IF\n END DO\n CALL add_perf(perf_id=3, msg_size=msglensum*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_${nametype1}$m\n\n SUBROUTINE mp_sum_${nametype1}$m3(msg, gid)\n !! Element-wise sum of a rank-3 array on all processes.\n !! @note\n !! see mp_sum_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:, :, :)\n !! Array to sum and result\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_${nametype1}$m3'\n\n INTEGER :: handle, ierr, &\n msglen\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n IF (msglen > 0) THEN\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_SUM, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n END IF\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_${nametype1}$m3\n\n SUBROUTINE mp_sum_${nametype1}$m4(msg, gid)\n !! Element-wise sum of a rank-4 array on all processes.\n !! @note\n !! see mp_sum_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:, :, :, :)\n !! Array to sum and result\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_${nametype1}$m4'\n\n INTEGER :: handle, ierr, &\n msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n IF (msglen > 0) THEN\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_SUM, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n END IF\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_${nametype1}$m4\n\n SUBROUTINE mp_sum_root_${nametype1}$v(msg, root, gid)\n !! Element-wise sum of data from all processes with result left only on\n !! one.\n !!\n !! MPI mapping\n !! mpi_reduce\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:)\n !! Vector to sum (input) and (only on process root) result (output)\n INTEGER, INTENT(IN) :: root\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_root_${nametype1}$v'\n\n INTEGER :: handle, ierr, msglen\n#if defined(__parallel)\n INTEGER :: m1, taskid\n ${type1}$, ALLOCATABLE :: res(:)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_comm_rank(gid%handle, taskid, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_rank @ \"//routineN)\n IF (msglen > 0) THEN\n m1 = SIZE(msg, 1)\n ALLOCATE (res(m1))\n CALL mpi_reduce(msg, res, msglen, ${mpi_type1}$, MPI_SUM, &\n root, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_reduce @ \"//routineN)\n IF (taskid == root) THEN\n msg = res\n END IF\n DEALLOCATE (res)\n END IF\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(root)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_root_${nametype1}$v\n\n SUBROUTINE mp_sum_root_${nametype1}$m(msg, root, gid)\n !! Element-wise sum of data from all processes with result left only on\n !! one.\n !! @note\n !! see mp_sum_root_${nametype1}$v\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:, :)\n !! Matrix to sum (input) and (only on process root) result (output)\n INTEGER, INTENT(IN) :: root\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_root_rm'\n\n INTEGER :: handle, ierr, msglen\n#if defined(__parallel)\n INTEGER :: m1, m2, taskid\n ${type1}$, ALLOCATABLE :: res(:, :)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_comm_rank(gid%handle, taskid, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_rank @ \"//routineN)\n IF (msglen > 0) THEN\n m1 = SIZE(msg, 1)\n m2 = SIZE(msg, 2)\n ALLOCATE (res(m1, m2))\n CALL mpi_reduce(msg, res, msglen, ${mpi_type1}$, MPI_SUM, root, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_reduce @ \"//routineN)\n IF (taskid == root) THEN\n msg = res\n END IF\n DEALLOCATE (res)\n END IF\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(root)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_root_${nametype1}$m\n\n SUBROUTINE mp_sum_partial_${nametype1}$m(msg, res, gid)\n !! Partial sum of data from all processes with result on each process.\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msg(:, :)\n !! Matrix to sum (input)\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: res(:, :)\n !! Matrix containing result (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_partial_${nametype1}$m'\n\n INTEGER :: handle, ierr, msglen\n#if defined(__parallel)\n INTEGER :: taskid\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_comm_rank(gid%handle, taskid, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_comm_rank @ \"//routineN)\n IF (msglen > 0) THEN\n CALL mpi_scan(msg, res, msglen, ${mpi_type1}$, MPI_SUM, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_scan @ \"//routineN)\n END IF\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n ! perf_id is same as for other summation routines\n#else\n res = msg\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sum_partial_${nametype1}$m\n\n SUBROUTINE mp_max_${nametype1}$ (msg, gid)\n !! Finds the maximum of a datum with the result left on all processes.\n !!\n !! MPI mapping\n !! mpi_allreduce\n\n ${type1}$, INTENT(INOUT) :: msg\n !! Find maximum among these data (input) and maximum (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_max_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_MAX, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_max_${nametype1}$\n\n SUBROUTINE mp_max_${nametype1}$v(msg, gid)\n !! Finds the element-wise maximum of a vector with the result left on\n !! all processes.\n !! @note\n !! see mp_max_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:)\n !! Find maximum among these data (input) and maximum (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_max_${nametype1}$v'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_MAX, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_max_${nametype1}$v\n\n SUBROUTINE mp_min_${nametype1}$ (msg, gid)\n !! Finds the minimum of a datum with the result left on all processes.\n !!\n !! MPI mapping\n !! mpi_allreduce\n\n ${type1}$, INTENT(INOUT) :: msg\n !! Find minimum among these data (input) and maximum (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_min_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_MIN, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_min_${nametype1}$\n\n SUBROUTINE mp_min_${nametype1}$v(msg, gid)\n !! Finds the element-wise minimum of vector with the result left on\n !! all processes.\n !!\n !! MPI mapping\n !! mpi_allreduce\n !! @note\n !! see mp_min_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:)\n !! Find minimum among these data (input) and maximum (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_min_${nametype1}$v'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_MIN, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_min_${nametype1}$v\n\n SUBROUTINE mp_prod_${nametype1}$ (msg, gid)\n !! Multiplies a set of numbers scattered across a number of processes,\n !! then replicates the result.\n !!\n !! MPI mapping\n !! mpi_allreduce\n\n ${type1}$, INTENT(INOUT) :: msg\n !! a number to multiply (input) and result (output)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sum_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_allreduce(MPI_IN_PLACE, msg, msglen, ${mpi_type1}$, MPI_PROD, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allreduce @ \"//routineN)\n CALL add_perf(perf_id=3, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msg)\n MARK_USED(gid)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_prod_${nametype1}$\n\n SUBROUTINE mp_iscatter_${nametype1}$ (msg_scatter, msg, root, gid, request)\n !! Scatters data from one processes to all others\n !!\n !! MPI mapping\n !! mpi_scatter\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msg_scatter(:)\n !! Data to scatter (for root process)\n ${type1}$, INTENT(INOUT) :: msg\n INTEGER, INTENT(IN) :: root\n !! Process which scatters data\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iscatter_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_iscatter(msg_scatter, msglen, ${mpi_type1}$, msg, &\n msglen, ${mpi_type1}$, root, gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iscatter @ \"//routineN)\n CALL add_perf(perf_id=24, msg_size=1*${bytes1}$)\n#else\n MARK_USED(root)\n MARK_USED(gid)\n msg = msg_scatter(1)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iscatter_${nametype1}$\n\n SUBROUTINE mp_iscatter_${nametype1}$v2(msg_scatter, msg, root, gid, request)\n !! Scatters data from one processes to all others\n !!\n !! MPI mapping\n !! mpi_scatter\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msg_scatter(:, :)\n !! Data to scatter (for root process)\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:)\n INTEGER, INTENT(IN) :: root\n !! Process which scatters data\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iscatter_${nametype1}$v2'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_iscatter(msg_scatter, msglen, ${mpi_type1}$, msg, &\n msglen, ${mpi_type1}$, root, gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iscatter @ \"//routineN)\n CALL add_perf(perf_id=24, msg_size=1*${bytes1}$)\n#else\n MARK_USED(root)\n MARK_USED(gid)\n msg(:) = msg_scatter(:, 1)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iscatter_${nametype1}$v2\n\n SUBROUTINE mp_iscatterv_${nametype1}$v(msg_scatter, sendcounts, displs, msg, recvcount, root, gid, request)\n !! Scatters data from one processes to all others\n !!\n !! MPI mapping\n !! mpi_scatter\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msg_scatter(:)\n !! Data to scatter (for root process)\n INTEGER, CONTIGUOUS, INTENT(IN) :: sendcounts(:), displs(:)\n ${type1}$, CONTIGUOUS, INTENT(INOUT) :: msg(:)\n INTEGER, INTENT(IN) :: recvcount, root\n !! Process which scatters data\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iscatterv_${nametype1}$v'\n\n INTEGER :: handle, ierr\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_iscatterv(msg_scatter, sendcounts, displs, ${mpi_type1}$, msg, &\n recvcount, ${mpi_type1}$, root, gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iscatterv @ \"//routineN)\n CALL add_perf(perf_id=24, msg_size=1*${bytes1}$)\n#else\n MARK_USED(sendcounts)\n MARK_USED(displs)\n MARK_USED(recvcount)\n MARK_USED(root)\n MARK_USED(gid)\n msg(1:recvcount) = msg_scatter(1 + displs(1):1 + displs(1) + sendcounts(1))\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iscatterv_${nametype1}$v\n\n SUBROUTINE mp_gather_${nametype1}$ (msg, msg_gather, root, gid)\n !! Gathers a datum from all processes to one\n !!\n !! MPI mapping\n !! mpi_gather\n\n ${type1}$, INTENT(IN) :: msg\n !! Datum to send to root\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msg_gather(:)\n !! Received data (on root)\n INTEGER, INTENT(IN) :: root\n !! Process which gathers the data\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_gather_${nametype1}$'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = 1\n#if defined(__parallel)\n CALL mpi_gather(msg, msglen, ${mpi_type1}$, msg_gather, &\n msglen, ${mpi_type1}$, root, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_gather @ \"//routineN)\n CALL add_perf(perf_id=4, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(root)\n MARK_USED(gid)\n msg_gather(1) = msg\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_gather_${nametype1}$\n\n SUBROUTINE mp_gather_${nametype1}$v(msg, msg_gather, root, gid)\n !! Gathers data from all processes to one\n !!\n !! Data length\n !! All data (msg) is equal-sized\n !!\n !! MPI mapping\n !! mpi_gather\n !! @note\n !! see mp_gather_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msg(:)\n !! Datum to send to root\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msg_gather(:)\n INTEGER, INTENT(IN) :: root\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_gather_${nametype1}$v'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_gather(msg, msglen, ${mpi_type1}$, msg_gather, &\n msglen, ${mpi_type1}$, root, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_gather @ \"//routineN)\n CALL add_perf(perf_id=4, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(root)\n MARK_USED(gid)\n msg_gather = msg\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_gather_${nametype1}$v\n\n SUBROUTINE mp_gather_${nametype1}$m(msg, msg_gather, root, gid)\n !! Gathers data from all processes to one\n !!\n !! Data length\n !! All data (msg) is equal-sized\n !!\n !! MPI mapping\n !! mpi_gather\n !! @note\n !! see mp_gather_${nametype1}$\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msg(:, :)\n !! Datum to send to root\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msg_gather(:, :)\n INTEGER, INTENT(IN) :: root\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_gather_${nametype1}$m'\n\n INTEGER :: handle, ierr, msglen\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n msglen = SIZE(msg)\n#if defined(__parallel)\n CALL mpi_gather(msg, msglen, ${mpi_type1}$, msg_gather, &\n msglen, ${mpi_type1}$, root, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_gather @ \"//routineN)\n CALL add_perf(perf_id=4, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(root)\n MARK_USED(gid)\n msg_gather = msg\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_gather_${nametype1}$m\n\n SUBROUTINE mp_gatherv_${nametype1}$v(sendbuf, recvbuf, recvcounts, displs, root, comm)\n !! Gathers data from all processes to one.\n !!\n !! Data length\n !! Data can have different lengths\n !!\n !! Offsets\n !! Offsets start at 0\n !!\n !! MPI mapping\n !! mpi_gather\n\n ${type1}$, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: sendbuf\n !! Data to send to root\n ${type1}$, DIMENSION(:), CONTIGUOUS, INTENT(OUT) :: recvbuf\n !! Received data (on root)\n INTEGER, DIMENSION(:), CONTIGUOUS, INTENT(IN) :: recvcounts, displs\n !! Sizes of data received from processes\n !! Offsets of data received from processes\n INTEGER, INTENT(IN) :: root\n !! Process which gathers the data\n TYPE(mp_comm_type), INTENT(IN) :: comm\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_gatherv_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: sendcount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n sendcount = SIZE(sendbuf)\n CALL mpi_gatherv(sendbuf, sendcount, ${mpi_type1}$, &\n recvbuf, recvcounts, displs, ${mpi_type1}$, &\n root, comm%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_gatherv @ \"//routineN)\n CALL add_perf(perf_id=4, &\n msg_size=sendcount*${bytes1}$)\n#else\n MARK_USED(recvcounts)\n MARK_USED(root)\n MARK_USED(comm)\n recvbuf(1 + displs(1):) = sendbuf\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_gatherv_${nametype1}$v\n\n SUBROUTINE mp_allgather_${nametype1}$ (msgout, msgin, gid)\n !! Gathers a datum from all processes and all processes receive the\n !! same data\n !!\n !! Data size\n !! All processes send equal-sized data\n !!\n !! MPI mapping\n !! mpi_allgather\n\n ${type1}$, INTENT(IN) :: msgout\n !! Datum to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:)\n !! Received data\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_allgather_${nametype1}$'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = 1\n rcount = 1\n CALL MPI_ALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin = msgout\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_allgather_${nametype1}$\n\n SUBROUTINE mp_allgather_${nametype1}$2(msgout, msgin, gid)\n !! Gathers a datum from all processes and all processes receive the\n !! same data\n !!\n !! Data size\n !! All processes send equal-sized data\n !!\n !! MPI mapping\n !! mpi_allgather\n\n ${type1}$, INTENT(IN) :: msgout\n !! Datum to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :)\n !! Received data\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_allgather_${nametype1}$2'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = 1\n rcount = 1\n CALL MPI_ALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin = msgout\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_allgather_${nametype1}$2\n\n SUBROUTINE mp_iallgather_${nametype1}$ (msgout, msgin, gid, request)\n !! Gathers a datum from all processes and all processes receive the\n !! same data\n !!\n !! Data size\n !! All processes send equal-sized data\n !!\n !! MPI mapping\n !! mpi_allgather\n\n ${type1}$, INTENT(IN) :: msgout\n !! Datum to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:)\n !! Received data\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iallgather_${nametype1}$'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = 1\n rcount = 1\n CALL MPI_IALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin = msgout\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iallgather_${nametype1}$\n\n SUBROUTINE mp_allgather_${nametype1}$12(msgout, msgin, gid)\n !! Gathers vector data from all processes and all processes receive the\n !! same data\n !!\n !! Data size\n !! All processes send equal-sized data\n !!\n !! Ranks\n !! The last rank counts the processes\n !!\n !! MPI mapping\n !! mpi_allgather\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:)\n !! Rank-1 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :)\n !! Received data\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_allgather_${nametype1}$12'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:))\n rcount = scount\n CALL MPI_ALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin(:, 1) = msgout(:)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_allgather_${nametype1}$12\n\n SUBROUTINE mp_allgather_${nametype1}$23(msgout, msgin, gid)\n !! Gathers matrix data from all processes and all processes receive the\n !! same data\n !! @note\n !! see mp_allgather_${nametype1}$12\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:, :)\n !! Rank-2 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :, :)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_allgather_${nametype1}$23'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:, :))\n rcount = scount\n CALL MPI_ALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin(:, :, 1) = msgout(:, :)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_allgather_${nametype1}$23\n\n SUBROUTINE mp_allgather_${nametype1}$34(msgout, msgin, gid)\n !! Gathers rank-3 data from all processes and all processes receive the\n !! same data\n !! @note\n !! see mp_allgather_${nametype1}$12\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:, :, :)\n !! Rank-3 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :, :, :)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_allgather_${nametype1}$34'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:, :, :))\n rcount = scount\n CALL MPI_ALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin(:, :, :, 1) = msgout(:, :, :)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_allgather_${nametype1}$34\n\n SUBROUTINE mp_allgather_${nametype1}$22(msgout, msgin, gid)\n !! Gathers rank-2 data from all processes and all processes receive the\n !! same data\n !! @note\n !! see mp_allgather_${nametype1}$12\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:, :)\n !! Rank-2 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_allgather_${nametype1}$22'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:, :))\n rcount = scount\n CALL MPI_ALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin(:, :) = msgout(:, :)\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_allgather_${nametype1}$22\n\n SUBROUTINE mp_iallgather_${nametype1}$11(msgout, msgin, gid, request)\n !! Gathers rank-1 data from all processes and all processes receive the\n !! same data\n !! @note\n !! see mp_allgather_${nametype1}$11\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:)\n !! Rank-1 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n TYPE(mp_request_type), INTENT(OUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iallgather_${nametype1}$11'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:))\n rcount = scount\n CALL MPI_IALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin = msgout\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iallgather_${nametype1}$11\n\n SUBROUTINE mp_iallgather_${nametype1}$13(msgout, msgin, gid, request)\n !! Gathers rank-2 data from all processes and all processes receive the\n !! same data\n !! @note\n !! see mp_allgather_${nametype1}$12\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:)\n !! Rank-2 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :, :)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n TYPE(mp_request_type), INTENT(OUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iallgather_${nametype1}$13'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:))\n rcount = scount\n CALL MPI_IALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin(:, 1, 1) = msgout(:)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iallgather_${nametype1}$13\n\n SUBROUTINE mp_iallgather_${nametype1}$22(msgout, msgin, gid, request)\n !! Gathers rank-2 data from all processes and all processes receive the\n !! same data\n !! @note\n !! see mp_allgather_${nametype1}$12\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:, :)\n !! Rank-2 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n TYPE(mp_request_type), INTENT(OUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iallgather_${nametype1}$22'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:, :))\n rcount = scount\n CALL MPI_IALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin(:, :) = msgout(:, :)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iallgather_${nametype1}$22\n\n SUBROUTINE mp_iallgather_${nametype1}$24(msgout, msgin, gid, request)\n !! Gathers rank-2 data from all processes and all processes receive the\n !! same data\n !! @note\n !! see mp_allgather_${nametype1}$12\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:, :)\n !! Rank-2 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :, :, :)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n TYPE(mp_request_type), INTENT(OUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iallgather_${nametype1}$24'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:, :))\n rcount = scount\n CALL MPI_IALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin(:, :, 1, 1) = msgout(:, :)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iallgather_${nametype1}$24\n\n SUBROUTINE mp_iallgather_${nametype1}$33(msgout, msgin, gid, request)\n !! Gathers rank-3 data from all processes and all processes receive the\n !! same data\n !! @note\n !! see mp_allgather_${nametype1}$12\n !! @endnote\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:, :, :)\n !! Rank-3 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:, :, :)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n TYPE(mp_request_type), INTENT(OUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iallgather_${nametype1}$33'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: rcount, scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout(:, :, :))\n rcount = scount\n CALL MPI_IALLGATHER(msgout, scount, ${mpi_type1}$, &\n msgin, rcount, ${mpi_type1}$, &\n gid%handle, request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallgather @ \"//routineN)\n#else\n MARK_USED(gid)\n msgin(:, :, :) = msgout(:, :, :)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iallgather_${nametype1}$33\n\n SUBROUTINE mp_allgatherv_${nametype1}$v(msgout, msgin, rcount, rdispl, gid)\n !! Gathers vector data from all processes and all processes receive the\n !! same data\n !!\n !! Data size\n !! Processes can send different-sized data\n !!\n !! Ranks\n !! The last rank counts the processes\n !!\n !! Offsets\n !! Offsets are from 0\n !!\n !! MPI mapping\n !! mpi_allgather\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:)\n !! Rank-1 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:)\n !! Received data\n INTEGER, CONTIGUOUS, INTENT(IN) :: rcount(:), rdispl(:)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Size of sent data for every process\n !! Offset of sent data for every process\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_allgatherv_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: scount\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout)\n CALL MPI_ALLGATHERV(msgout, scount, ${mpi_type1}$, msgin, rcount, &\n rdispl, ${mpi_type1}$, gid%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_allgatherv @ \"//routineN)\n#else\n MARK_USED(rcount)\n MARK_USED(rdispl)\n MARK_USED(gid)\n msgin = msgout\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_allgatherv_${nametype1}$v\n\n SUBROUTINE mp_iallgatherv_${nametype1}$v(msgout, msgin, rcount, rdispl, gid, request)\n !! Gathers vector data from all processes and all processes receive the\n !! same data\n !!\n !! Data size\n !! Processes can send different-sized data\n !!\n !! Ranks\n !! The last rank counts the processes\n !!\n !! Offsets\n !! Offsets are from 0\n !!\n !! MPI mapping\n !! mpi_allgather\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:)\n !! Rank-1 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:)\n !! Received data\n INTEGER, CONTIGUOUS, INTENT(IN) :: rcount(:), rdispl(:)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Size of sent data for every process\n !! Offset of sent data for every process\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iallgatherv_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: scount, rsize\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout)\n rsize = SIZE(rcount)\n CALL mp_iallgatherv_${nametype1}$v_internal(msgout, scount, msgin, rsize, rcount, &\n rdispl, gid, request, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallgatherv @ \"//routineN)\n#else\n MARK_USED(rcount)\n MARK_USED(rdispl)\n MARK_USED(gid)\n msgin = msgout\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iallgatherv_${nametype1}$v\n\n SUBROUTINE mp_iallgatherv_${nametype1}$v2(msgout, msgin, rcount, rdispl, gid, request)\n !! Gathers vector data from all processes and all processes receive the\n !! same data\n !!\n !! Data size\n !! Processes can send different-sized data\n !!\n !! Ranks\n !! The last rank counts the processes\n !!\n !! Offsets\n !! Offsets are from 0\n !!\n !! MPI mapping\n !! mpi_allgather\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:)\n !! Rank-1 data to send\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:)\n !! Received data\n INTEGER, CONTIGUOUS, INTENT(IN) :: rcount(:, :), rdispl(:, :)\n TYPE(mp_comm_type), INTENT(IN) :: gid\n !! Size of sent data for every process\n !! Offset of sent data for every process\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(INOUT) :: request\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_iallgatherv_${nametype1}$v2'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: scount, rsize\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n scount = SIZE(msgout)\n rsize = SIZE(rcount)\n CALL mp_iallgatherv_${nametype1}$v_internal(msgout, scount, msgin, rsize, rcount, &\n rdispl, gid, request, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_iallgatherv @ \"//routineN)\n#else\n MARK_USED(rcount)\n MARK_USED(rdispl)\n MARK_USED(gid)\n msgin = msgout\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_iallgatherv_${nametype1}$v2\n\n#if defined(__parallel)\n SUBROUTINE mp_iallgatherv_${nametype1}$v_internal(msgout, scount, msgin, rsize, rcount, rdispl, gid, request, ierr)\n !! wrapper needed to deal with interfaces as present in openmpi 1.8.1\n !! the issue is with the rank of rcount and rdispl\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgout(:)\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgin(:)\n INTEGER, INTENT(IN) :: rsize\n INTEGER, INTENT(IN) :: rcount(rsize), rdispl(rsize), scount\n TYPE(mp_comm_type), INTENT(IN) :: gid\n TYPE(mp_request_type), INTENT(INOUT) :: request\n INTEGER, INTENT(INOUT) :: ierr\n\n CALL MPI_IALLGATHERV(msgout, scount, ${mpi_type1}$, msgin, rcount, &\n rdispl, ${mpi_type1}$, gid%handle, request%handle, ierr)\n\n END SUBROUTINE mp_iallgatherv_${nametype1}$v_internal\n#endif\n\n SUBROUTINE mp_sendrecv_${nametype1}$v(msgin, dest, msgout, source, comm)\n !! Sends and receives vector data\n\n ${type1}$, CONTIGUOUS, INTENT(IN) :: msgin(:)\n !! Data to send\n INTEGER, INTENT(IN) :: dest\n !! Process to send data to\n ${type1}$, CONTIGUOUS, INTENT(OUT) :: msgout(:)\n !! Received data\n INTEGER, INTENT(IN) :: source\n !! Process from which to receive\n TYPE(mp_comm_type), INTENT(IN) :: comm\n !! Message passing environment identifier\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_sendrecv_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen_in, msglen_out, &\n recv_tag, send_tag\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n msglen_in = SIZE(msgin)\n msglen_out = SIZE(msgout)\n send_tag = 0 ! cannot think of something better here, this might be dangerous\n recv_tag = 0 ! cannot think of something better here, this might be dangerous\n CALL mpi_sendrecv(msgin, msglen_in, ${mpi_type1}$, dest, send_tag, msgout, &\n msglen_out, ${mpi_type1}$, source, recv_tag, comm%handle, MPI_STATUS_IGNORE, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_sendrecv @ \"//routineN)\n CALL add_perf(perf_id=7, &\n msg_size=(msglen_in + msglen_out)*${bytes1}$/2)\n#else\n MARK_USED(dest)\n MARK_USED(source)\n MARK_USED(comm)\n msgout = msgin\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_sendrecv_${nametype1}$v\n\n SUBROUTINE mp_isendrecv_${nametype1}$ (msgin, dest, msgout, source, comm, send_request, &\n recv_request, tag)\n !! Non-blocking send and receive of a scalar\n !!\n !! Implementation\n !! Calls mpi_isend and mpi_irecv.\n\n ${type1}$ :: msgin\n !! Scalar data to send\n INTEGER, INTENT(IN) :: dest\n !! Which process to send to\n ${type1}$ :: msgout\n !! Receive data into this pointer\n INTEGER, INTENT(IN) :: source\n !! Process to receive from\n TYPE(mp_comm_type), INTENT(IN) :: comm\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(out) :: send_request, recv_request\n !! Request handle for the send\n !! Request handle for the receive\n INTEGER, INTENT(in), OPTIONAL :: tag\n !! tag to differentiate requests\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isendrecv_${nametype1}$'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: my_tag\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n CALL mpi_irecv(msgout, 1, ${mpi_type1}$, source, my_tag, &\n comm%handle, recv_request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_irecv @ \"//routineN)\n\n CALL mpi_isend(msgin, 1, ${mpi_type1}$, dest, my_tag, &\n comm%handle, send_request%handle, ierr)\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_isend @ \"//routineN)\n\n CALL add_perf(perf_id=8, msg_size=2*${bytes1}$)\n#else\n MARK_USED(dest)\n MARK_USED(source)\n MARK_USED(comm)\n MARK_USED(tag)\n send_request = mp_request_null\n recv_request = mp_request_null\n msgout = msgin\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_isendrecv_${nametype1}$\n\n SUBROUTINE mp_isendrecv_${nametype1}$v(msgin, dest, msgout, source, comm, send_request, &\n recv_request, tag)\n !! Non-blocking send and receive of a vector\n !!\n !! Implementation\n !! Calls mpi_isend and mpi_irecv.\n !! @note\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n ${type1}$, CONTIGUOUS, DIMENSION(:) :: msgin\n !! Vector data to send\n INTEGER, INTENT(IN) :: dest\n !! Which process to send to\n ${type1}$, CONTIGUOUS, DIMENSION(:) :: msgout\n !! Receive data into this pointer\n INTEGER, INTENT(IN) :: source\n !! Process to receive from\n TYPE(mp_comm_type), INTENT(IN) :: comm\n !! Message passing environment identifier\n TYPE(mp_request_type), INTENT(out) :: send_request, recv_request\n !! Request handle for the send\n !! Request handle for the receive\n INTEGER, INTENT(in), OPTIONAL :: tag\n !! tag to differentiate requests\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isendrecv_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, my_tag\n ${type1}$ :: foo\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n msglen = SIZE(msgout, 1)\n IF (msglen > 0) THEN\n CALL mpi_irecv(msgout, msglen, ${mpi_type1}$, source, my_tag, &\n comm%handle, recv_request%handle, ierr)\n ELSE\n CALL mpi_irecv(foo, msglen, ${mpi_type1}$, source, my_tag, &\n comm%handle, recv_request%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_irecv @ \"//routineN)\n\n msglen = SIZE(msgin, 1)\n IF (msglen > 0) THEN\n CALL mpi_isend(msgin, msglen, ${mpi_type1}$, dest, my_tag, &\n comm%handle, send_request%handle, ierr)\n ELSE\n CALL mpi_isend(foo, msglen, ${mpi_type1}$, dest, my_tag, &\n comm%handle, send_request%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_isend @ \"//routineN)\n\n msglen = (msglen + SIZE(msgout, 1) + 1)/2\n CALL add_perf(perf_id=8, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(dest)\n MARK_USED(source)\n MARK_USED(comm)\n MARK_USED(tag)\n send_request = mp_request_null\n recv_request = mp_request_null\n msgout = msgin\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_isendrecv_${nametype1}$v\n\n SUBROUTINE mp_isend_${nametype1}$v(msgin, dest, comm, request, tag)\n !! Non-blocking send of vector data\n !! @note\n !! see mp_isendrecv_${nametype1}$v\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n ${type1}$, CONTIGUOUS, DIMENSION(:) :: msgin\n INTEGER, INTENT(IN) :: dest\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_request_type), INTENT(out) :: request\n INTEGER, INTENT(in), OPTIONAL :: tag\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isend_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, my_tag\n ${type1}$ :: foo(1)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n msglen = SIZE(msgin)\n IF (msglen > 0) THEN\n CALL mpi_isend(msgin, msglen, ${mpi_type1}$, dest, my_tag, &\n comm%handle, request%handle, ierr)\n ELSE\n CALL mpi_isend(foo, msglen, ${mpi_type1}$, dest, my_tag, &\n comm%handle, request%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_isend @ \"//routineN)\n\n CALL add_perf(perf_id=11, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msgin)\n MARK_USED(dest)\n MARK_USED(comm)\n MARK_USED(request)\n MARK_USED(tag)\n ierr = 1\n request = mp_request_null\n CALL mp_stop(ierr, \"mp_isend called in non parallel case\")\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_isend_${nametype1}$v\n\n SUBROUTINE mp_isend_${nametype1}$m2(msgin, dest, comm, request, tag)\n !! Non-blocking send of matrix data\n !! @note\n !! see mp_isendrecv_${nametype1}$v\n !! see mp_isend_${nametype1}$v\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n ${type1}$, DIMENSION(:, :), CONTIGUOUS :: msgin\n INTEGER, INTENT(IN) :: dest\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_request_type), INTENT(out) :: request\n INTEGER, INTENT(in), OPTIONAL :: tag\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_isend_${nametype1}$m2'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, my_tag\n ${type1}$ :: foo(1)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n msglen = SIZE(msgin, 1)*SIZE(msgin, 2)\n IF (msglen > 0) THEN\n CALL mpi_isend(msgin, msglen, ${mpi_type1}$, dest, my_tag, &\n comm%handle, request%handle, ierr)\n ELSE\n CALL mpi_isend(foo, msglen, ${mpi_type1}$, dest, my_tag, &\n comm%handle, request%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_isend @ \"//routineN)\n\n CALL add_perf(perf_id=11, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msgin)\n MARK_USED(dest)\n MARK_USED(comm)\n MARK_USED(request)\n MARK_USED(tag)\n ierr = 1\n request = mp_request_null\n CALL mp_stop(ierr, \"mp_isend called in non parallel case\")\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_isend_${nametype1}$m2\n\n SUBROUTINE mp_irecv_${nametype1}$v(msgout, source, comm, request, tag)\n !! Non-blocking receive of vector data\n !! @note\n !! see mp_isendrecv_${nametype1}$v\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n ${type1}$, CONTIGUOUS, DIMENSION(:) :: msgout\n INTEGER, INTENT(IN) :: source\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_request_type), INTENT(out) :: request\n INTEGER, INTENT(in), OPTIONAL :: tag\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_irecv_${nametype1}$v'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, my_tag\n ${type1}$ :: foo(1)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n msglen = SIZE(msgout)\n IF (msglen > 0) THEN\n CALL mpi_irecv(msgout, msglen, ${mpi_type1}$, source, my_tag, &\n comm%handle, request%handle, ierr)\n ELSE\n CALL mpi_irecv(foo, msglen, ${mpi_type1}$, source, my_tag, &\n comm%handle, request%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_irecv @ \"//routineN)\n\n CALL add_perf(perf_id=12, msg_size=msglen*${bytes1}$)\n#else\n DBCSR_ABORT(\"mp_irecv called in non parallel case\")\n MARK_USED(msgout)\n MARK_USED(source)\n MARK_USED(comm)\n MARK_USED(request)\n MARK_USED(tag)\n request = mp_request_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_irecv_${nametype1}$v\n\n SUBROUTINE mp_irecv_${nametype1}$m2(msgout, source, comm, request, tag)\n !! Non-blocking receive of matrix data\n !! @note\n !! see mp_isendrecv_${nametype1}$v\n !! see mp_irecv_${nametype1}$v\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n ${type1}$, DIMENSION(:, :), CONTIGUOUS :: msgout\n INTEGER, INTENT(IN) :: source\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_request_type), INTENT(out) :: request\n INTEGER, INTENT(in), OPTIONAL :: tag\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_irecv_${nametype1}$m2'\n\n INTEGER :: handle, ierr\n#if defined(__parallel)\n INTEGER :: msglen, my_tag\n ${type1}$ :: foo(1)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n my_tag = 0\n IF (PRESENT(tag)) my_tag = tag\n\n msglen = SIZE(msgout, 1)*SIZE(msgout, 2)\n IF (msglen > 0) THEN\n CALL mpi_irecv(msgout, msglen, ${mpi_type1}$, source, my_tag, &\n comm%handle, request%handle, ierr)\n ELSE\n CALL mpi_irecv(foo, msglen, ${mpi_type1}$, source, my_tag, &\n comm%handle, request%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_irecv @ \"//routineN)\n\n CALL add_perf(perf_id=12, msg_size=msglen*${bytes1}$)\n#else\n MARK_USED(msgout)\n MARK_USED(source)\n MARK_USED(comm)\n MARK_USED(request)\n MARK_USED(tag)\n request = mp_request_null\n DBCSR_ABORT(\"mp_irecv called in non parallel case\")\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_irecv_${nametype1}$m2\n\n SUBROUTINE mp_win_create_${nametype1}$v(base, comm, win)\n !! Window initialization function for vector data\n !! @note\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n ${type1}$, CONTIGUOUS, DIMENSION(:) :: base\n TYPE(mp_comm_type), INTENT(IN) :: comm\n TYPE(mp_win_type), INTENT(OUT) :: win\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_win_create_${nametype1}$v'\n\n INTEGER :: ierr, handle\n#if defined(__parallel)\n INTEGER(kind=mpi_address_kind) :: len\n ${type1}$ :: foo(1)\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n\n len = SIZE(base)*${bytes1}$\n IF (len > 0) THEN\n CALL mpi_win_create(base, len, ${bytes1}$, MPI_INFO_NULL, comm%handle, win%handle, ierr)\n ELSE\n CALL mpi_win_create(foo, len, ${bytes1}$, MPI_INFO_NULL, comm%handle, win%handle, ierr)\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_win_create @ \"//routineN)\n#else\n MARK_USED(base)\n MARK_USED(comm)\n win = mp_win_null\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_win_create_${nametype1}$v\n\n SUBROUTINE mp_rget_${nametype1}$v(base, source, win, win_data, myproc, disp, request, &\n origin_datatype, target_datatype)\n !! Single-sided get function for vector data\n !! @note\n !! arrays can be pointers or assumed shape, but they must be contiguous!\n !! @endnote\n\n ${type1}$, CONTIGUOUS, DIMENSION(:) :: base\n INTEGER, INTENT(IN) :: source\n TYPE(mp_win_type), INTENT(IN) :: win\n ${type1}$, CONTIGUOUS, DIMENSION(:) :: win_data\n INTEGER, INTENT(IN), OPTIONAL :: myproc, disp\n TYPE(mp_request_type), INTENT(OUT) :: request\n TYPE(mp_type_descriptor_type), INTENT(IN), OPTIONAL :: origin_datatype, target_datatype\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_rget_${nametype1}$v'\n\n INTEGER :: ierr, handle\n#if defined(__parallel)\n INTEGER :: len, &\n origin_len, target_len\n LOGICAL :: do_local_copy\n INTEGER(kind=mpi_address_kind) :: disp_aint\n MPI_DATA_TYPE :: handle_origin_datatype, handle_target_datatype\n#endif\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n len = SIZE(base)\n disp_aint = 0\n IF (PRESENT(disp)) THEN\n disp_aint = INT(disp, KIND=mpi_address_kind)\n END IF\n handle_origin_datatype = ${mpi_type1}$\n origin_len = len\n IF (PRESENT(origin_datatype)) THEN\n handle_origin_datatype = origin_datatype%type_handle\n origin_len = 1\n END IF\n handle_target_datatype = ${mpi_type1}$\n target_len = len\n IF (PRESENT(target_datatype)) THEN\n handle_target_datatype = target_datatype%type_handle\n target_len = 1\n END IF\n IF (len > 0) THEN\n do_local_copy = .FALSE.\n#if !defined(__DBCSR_DISABLE_RMA_LOCAL_COPY)\n IF (PRESENT(myproc) .AND. .NOT. PRESENT(origin_datatype) .AND. .NOT. PRESENT(target_datatype)) THEN\n IF (myproc .EQ. source) do_local_copy = .TRUE.\n END IF\n#else\n MARK_USED(myproc)\n#endif\n IF (do_local_copy) THEN\n base(:) = win_data(disp_aint + 1:disp_aint + len)\n request = mp_request_null\n ierr = 0\n ELSE\n CALL mpi_rget(base, origin_len, handle_origin_datatype, source, disp_aint, &\n target_len, handle_target_datatype, win%handle, request%handle, ierr)\n END IF\n ELSE\n request = mp_request_null\n ierr = 0\n END IF\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_rget @ \"//routineN)\n\n CALL add_perf(perf_id=25, msg_size=SIZE(base)*${bytes1}$)\n#else\n MARK_USED(source)\n MARK_USED(win)\n MARK_USED(myproc)\n MARK_USED(origin_datatype)\n MARK_USED(target_datatype)\n\n request = mp_request_null\n !\n IF (PRESENT(disp)) THEN\n base(:) = win_data(disp + 1:disp + SIZE(base))\n ELSE\n base(:) = win_data(:SIZE(base))\n END IF\n\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_rget_${nametype1}$v\n\n! *****************************************************************************\n! ***************************************************************************\n FUNCTION mp_type_indexed_make_${nametype1}$ (count, lengths, displs) &\n RESULT(type_descriptor)\n INTEGER, INTENT(IN) :: count\n INTEGER, DIMENSION(1:count), INTENT(IN), TARGET :: lengths, displs\n TYPE(mp_type_descriptor_type) :: type_descriptor\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_type_indexed_make_${nametype1}$'\n\n INTEGER :: ierr, handle\n\n ierr = 0\n CALL timeset(routineN, handle)\n\n#if defined(__parallel)\n CALL mpi_type_indexed(count, lengths, displs, ${mpi_type1}$, &\n type_descriptor%type_handle, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"MPI_Type_Indexed @ \"//routineN)\n CALL mpi_type_commit(type_descriptor%type_handle, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"MPI_Type_commit @ \"//routineN)\n#else\n type_descriptor%type_handle = ${handle1}$\n#endif\n type_descriptor%length = count\n NULLIFY (type_descriptor%subtype)\n type_descriptor%vector_descriptor(1:2) = 1\n type_descriptor%has_indexing = .TRUE.\n type_descriptor%index_descriptor%index => lengths\n type_descriptor%index_descriptor%chunks => displs\n\n CALL timestop(handle)\n\n END FUNCTION mp_type_indexed_make_${nametype1}$\n\n SUBROUTINE mp_allocate_${nametype1}$ (DATA, len, stat)\n !! Allocates special parallel memory\n\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: DATA\n !! pointer to integer array to allocate\n INTEGER, INTENT(IN) :: len\n !! number of integers to allocate\n INTEGER, INTENT(OUT), OPTIONAL :: stat\n !! allocation status result\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_allocate_${nametype1}$'\n\n INTEGER :: ierr, handle\n\n CALL timeset(routineN, handle)\n\n ierr = 0\n#if defined(__parallel)\n NULLIFY (DATA)\n CALL mp_alloc_mem(DATA, len, stat=ierr)\n IF (ierr /= 0 .AND. .NOT. PRESENT(stat)) &\n CALL mp_stop(ierr, \"mpi_alloc_mem @ \"//routineN)\n#else\n ALLOCATE (DATA(len), stat=ierr)\n IF (ierr /= 0 .AND. .NOT. PRESENT(stat)) &\n CALL mp_stop(ierr, \"ALLOCATE @ \"//routineN)\n#endif\n IF (PRESENT(stat)) stat = ierr\n CALL timestop(handle)\n END SUBROUTINE mp_allocate_${nametype1}$\n\n SUBROUTINE mp_deallocate_${nametype1}$ (DATA, stat)\n !! Deallocates special parallel memory\n\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: DATA\n !! pointer to special memory to deallocate\n INTEGER, INTENT(OUT), OPTIONAL :: stat\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_deallocate_${nametype1}$'\n\n INTEGER :: ierr, handle\n\n CALL timeset(routineN, handle)\n\n ierr = 0\n#if defined(__parallel)\n CALL mp_free_mem(DATA, ierr)\n IF (PRESENT(stat)) THEN\n stat = ierr\n ELSE\n IF (ierr /= 0) CALL mp_stop(ierr, \"mpi_free_mem @ \"//routineN)\n END IF\n NULLIFY (DATA)\n#else\n DEALLOCATE (DATA)\n IF (PRESENT(stat)) stat = 0\n#endif\n CALL timestop(handle)\n END SUBROUTINE mp_deallocate_${nametype1}$\n\n SUBROUTINE mp_file_write_at_${nametype1}$v(fh, offset, msg, msglen)\n !! (parallel) Blocking individual file write using explicit offsets\n !! (serial) Unformatted stream write\n !!\n !! MPI-I/O mapping mpi_file_write_at\n !!\n !! STREAM-I/O mapping WRITE\n\n ${type1}$, INTENT(IN) :: msg(:)\n !! data to be written to the file\n TYPE(mp_file_type), INTENT(IN) :: fh\n !! file handle (file storage unit)\n INTEGER, INTENT(IN), OPTIONAL :: msglen\n !! number of the elements of data\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n !! file offset (position)\n\n INTEGER :: msg_len\n\n msg_len = SIZE(msg)\n IF (PRESENT(msglen)) msg_len = msglen\n\n#if defined(__parallel)\n BLOCK\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_write_at_${nametype1}$v'\n INTEGER :: ierr\n ierr = 0\n CALL MPI_FILE_WRITE_AT(fh%handle, offset, msg, msg_len, ${mpi_type1}$, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_write_at_${nametype1}$v @ \"//routineN)\n END BLOCK\n#else\n WRITE (UNIT=fh%handle, POS=offset + 1) msg(1:msg_len)\n#endif\n END SUBROUTINE mp_file_write_at_${nametype1}$v\n\n! *****************************************************************************\n! *****************************************************************************\n SUBROUTINE mp_file_write_at_${nametype1}$ (fh, offset, msg)\n ${type1}$, INTENT(IN) :: msg\n TYPE(mp_file_type), INTENT(IN) :: fh\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_write_at_${nametype1}$'\n\n INTEGER :: ierr\n\n ierr = 0\n CALL MPI_FILE_WRITE_AT(fh%handle, offset, msg, 1, ${mpi_type1}$, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_write_at_${nametype1}$ @ \"//routineN)\n#else\n WRITE (UNIT=fh%handle, POS=offset + 1) msg\n#endif\n END SUBROUTINE mp_file_write_at_${nametype1}$\n\n SUBROUTINE mp_file_write_at_all_${nametype1}$v(fh, offset, msg, msglen)\n !! (parallel) Blocking collective file write using explicit offsets\n !! (serial) Unformatted stream write\n !!\n !! MPI-I/O mapping mpi_file_write_at_all\n !!\n !! STREAM-I/O mapping WRITE\n\n ${type1}$, INTENT(IN) :: msg(:)\n TYPE(mp_file_type), INTENT(IN) :: fh\n INTEGER, INTENT(IN), OPTIONAL :: msglen\n INTEGER :: msg_len\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n\n msg_len = SIZE(msg)\n IF (PRESENT(msglen)) msg_len = msglen\n#if defined(__parallel)\n BLOCK\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_write_at_all_${nametype1}$v'\n INTEGER :: ierr\n ierr = 0\n\n CALL MPI_FILE_WRITE_AT_ALL(fh%handle, offset, msg, msg_len, ${mpi_type1}$, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_write_at_all_${nametype1}$v @ \"//routineN)\n END BLOCK\n#else\n WRITE (UNIT=fh%handle, POS=offset + 1) msg(1:msg_len)\n#endif\n END SUBROUTINE mp_file_write_at_all_${nametype1}$v\n\n! *****************************************************************************\n! *****************************************************************************\n SUBROUTINE mp_file_write_at_all_${nametype1}$ (fh, offset, msg)\n ${type1}$, INTENT(IN) :: msg\n TYPE(mp_file_type), INTENT(IN) :: fh\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_write_at_all_${nametype1}$'\n\n INTEGER :: ierr\n\n ierr = 0\n CALL MPI_FILE_WRITE_AT_ALL(fh%handle, offset, msg, 1, ${mpi_type1}$, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_write_at_all_${nametype1}$ @ \"//routineN)\n#else\n WRITE (UNIT=fh%handle, POS=offset + 1) msg\n#endif\n END SUBROUTINE mp_file_write_at_all_${nametype1}$\n\n! *****************************************************************************\n! *****************************************************************************\n SUBROUTINE mp_file_read_at_all_${nametype1}$v(fh, offset, msg, msglen)\n !! (parallel) Blocking collective file read using explicit offsets\n !! (serial) Unformatted stream read\n !!\n !! MPI-I/O mapping mpi_file_read_at_all\n !!\n !! STREAM-I/O mapping READ\n\n ${type1}$, INTENT(OUT) :: msg(:)\n TYPE(mp_file_type), INTENT(IN) :: fh\n INTEGER, INTENT(IN), OPTIONAL :: msglen\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n\n INTEGER :: msg_len\n\n msg_len = SIZE(msg)\n IF (PRESENT(msglen)) msg_len = msglen\n#if defined(__parallel)\n BLOCK\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_read_at_all_${nametype1}$v'\n INTEGER :: ierr\n ierr = 0\n\n CALL MPI_FILE_READ_AT_ALL(fh%handle, offset, msg, msg_len, ${mpi_type1}$, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_read_at_all_${nametype1}$v @ \"//routineN)\n END BLOCK\n#else\n READ (UNIT=fh%handle, POS=offset + 1) msg(1:msg_len)\n#endif\n END SUBROUTINE mp_file_read_at_all_${nametype1}$v\n\n! *****************************************************************************\n! *****************************************************************************\n SUBROUTINE mp_file_read_at_all_${nametype1}$ (fh, offset, msg)\n ${type1}$, INTENT(OUT) :: msg\n TYPE(mp_file_type), INTENT(IN) :: fh\n INTEGER(kind=file_offset), INTENT(IN) :: offset\n\n#if defined(__parallel)\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_file_read_at_all_${nametype1}$'\n\n INTEGER :: ierr\n\n ierr = 0\n CALL MPI_FILE_READ_AT_ALL(fh%handle, offset, msg, 1, ${mpi_type1}$, MPI_STATUS_IGNORE, ierr)\n IF (ierr .NE. 0) &\n DBCSR_ABORT(\"mpi_file_read_at_all_${nametype1}$ @ \"//routineN)\n#else\n READ (UNIT=fh%handle, POS=offset + 1) msg\n#endif\n END SUBROUTINE mp_file_read_at_all_${nametype1}$\n\n! *****************************************************************************\n! *****************************************************************************\n FUNCTION mp_type_make_${nametype1}$ (ptr, &\n vector_descriptor, index_descriptor) &\n RESULT(type_descriptor)\n ${type1}$, DIMENSION(:), POINTER :: ptr\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: vector_descriptor\n TYPE(mp_indexing_meta_type), INTENT(IN), OPTIONAL :: index_descriptor\n TYPE(mp_type_descriptor_type) :: type_descriptor\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'mp_type_make_${nametype1}$'\n\n INTEGER :: ierr\n\n ierr = 0\n NULLIFY (type_descriptor%subtype)\n type_descriptor%length = SIZE(ptr)\n#if defined(__parallel)\n type_descriptor%type_handle = ${mpi_type1}$\n CALL MPI_Get_address(ptr, type_descriptor%base, ierr)\n IF (ierr /= 0) &\n DBCSR_ABORT(\"MPI_Get_address @ \"//routineN)\n#else\n type_descriptor%type_handle = ${handle1}$\n#endif\n type_descriptor%vector_descriptor(1:2) = 1\n type_descriptor%has_indexing = .FALSE.\n type_descriptor%data_${nametype1}$ => ptr\n IF (PRESENT(vector_descriptor) .OR. PRESENT(index_descriptor)) THEN\n DBCSR_ABORT(routineN//\": Vectors and indices NYI\")\n END IF\n END FUNCTION mp_type_make_${nametype1}$\n\n#if defined(__parallel)\n SUBROUTINE mp_alloc_mem_${nametype1}$ (DATA, len, stat)\n !! Allocates an array, using MPI_ALLOC_MEM ... this is hackish\n !! as the Fortran version returns an integer, which we take to be a C_PTR\n\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: DATA\n !! data array to allocate\n INTEGER, INTENT(IN) :: len\n !! length (in data elements) of data array allocation\n INTEGER, INTENT(OUT), OPTIONAL :: stat\n !! allocation status result\n\n INTEGER :: size, ierr, length, &\n mp_res\n INTEGER(KIND=MPI_ADDRESS_KIND) :: mp_size\n TYPE(C_PTR) :: mp_baseptr\n MPI_INFO_TYPE :: mp_info\n\n length = MAX(len, 1)\n CALL MPI_TYPE_SIZE(${mpi_type1}$, size, ierr)\n mp_size = INT(length, KIND=MPI_ADDRESS_KIND)*size\n IF (mp_size .GT. mp_max_memory_size) THEN\n DBCSR_ABORT(\"MPI cannot allocate more than 2 GiByte\")\n END IF\n mp_info = MPI_INFO_NULL\n CALL MPI_ALLOC_MEM(mp_size, mp_info, mp_baseptr, mp_res)\n CALL C_F_POINTER(mp_baseptr, DATA, (/length/))\n IF (PRESENT(stat)) stat = mp_res\n END SUBROUTINE mp_alloc_mem_${nametype1}$\n#endif\n\n#if defined(__parallel)\n SUBROUTINE mp_free_mem_${nametype1}$ (DATA, stat)\n !! Deallocates am array, ... this is hackish\n !! as the Fortran version takes an integer, which we hope to get by reference\n\n ${type1}$, DIMENSION(:), &\n POINTER, CONTIGUOUS :: DATA\n !! data array to allocate\n INTEGER, INTENT(OUT), OPTIONAL :: stat\n !! allocation status result\n\n INTEGER :: mp_res\n CALL MPI_FREE_MEM(DATA, mp_res)\n IF (PRESENT(stat)) stat = mp_res\n END SUBROUTINE mp_free_mem_${nametype1}$\n#endif\n\n #:endfor\n\nEND MODULE dbcsr_mpiwrap\n" }, { "path": "src/mpi/dbcsr_mpiwrap.fypp", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n\n#:mute\n\n#:set nametype1 = ['i', 'l', 'd', 'r', 'z', 'c']\n#:set type1 = ['INTEGER(KIND=int_4)', 'INTEGER(KIND=int_8)', 'REAL(kind=real_8)', 'REAL(kind=real_4)', 'COMPLEX(kind=real_8)', 'COMPLEX(kind=real_4)']\n#:set mpi_type1 = ['MPI_INTEGER', 'MPI_INTEGER8', 'MPI_DOUBLE_PRECISION', 'MPI_REAL', 'MPI_DOUBLE_COMPLEX', 'MPI_COMPLEX']\n#:set mpi_2type1 = ['MPI_2INTEGER', 'MPI_INTEGER8', 'MPI_2DOUBLE_PRECISION', 'MPI_2REAL', 'MPI_2DOUBLE_COMPLEX', 'MPI_2COMPLEX']\n#:set kind1 = ['int_4', 'int_8', 'real_8', 'real_4', 'real_8', 'real_4']\n#:set bytes1 = ['int_4_size','int_8_size','real_8_size','real_4_size','(2*real_8_size)','(2*real_4_size)']\n#:set handle1 = ['17', '19', '3', '1', '7', '5']\n#:set zero1 = ['0_int_4', '0_int_8', '0.0_real_8', '0.0_real_4', 'CMPLX(0.0, 0.0, real_8)', 'CMPLX(0.0, 0.0, real_4)']\n#:set one1 = ['1_int_4', '1_int_8', '1.0_real_8', '1.0_real_4', 'CMPLX(1.0, 0.0, real_8)', 'CMPLX(1.0, 0.0, real_4)']\n\n#:set inst_params = list(zip(nametype1, type1, mpi_type1, mpi_2type1, kind1, bytes1, handle1, zero1, one1))\n\n#! Generate interface declarations using the cartesian combination of nametypes and suffixes, and extra_suffixes\n#:def gen_mp_iface(basename, nametypes=nametype1, suffixes=[''], extra_suffixes=[])\n INTERFACE mp_${basename}$\n MODULE PROCEDURE ${', '.join(['mp_{}_{}{}'.format(basename, nt, su) for nt in nametypes for su in suffixes] + ['mp_{}_{}'.format(basename, su) for su in extra_suffixes])}$\n END INTERFACE\n#:enddef\n#:endmute\n" }, { "path": "src/ops/PACKAGE", "content": "{\n\"description\": \"High level DBCSR operations\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../acc\", \"../mpi\", \"../data\", \"../base\", \"../dist\",\n\t \"../block\", \"../utils\", \"../core\", \"../mm\", \"../work\"],\n}\n" }, { "path": "src/ops/dbcsr_csr_conversions.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_csr_conversions\n !! DBCSR to CSR matrix format conversion\n USE dbcsr_block_access, ONLY: dbcsr_put_block\n USE dbcsr_data_methods, ONLY: dbcsr_data_clear_pointer, &\n dbcsr_data_init, &\n dbcsr_data_new, &\n dbcsr_data_release\n USE dbcsr_data_types, ONLY: dbcsr_type_complex_4, &\n dbcsr_type_complex_8, &\n dbcsr_type_real_4, &\n dbcsr_type_real_8, &\n dbcsr_type_real_default\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_col_dist, &\n dbcsr_distribution_mp, &\n dbcsr_distribution_new, &\n dbcsr_distribution_release\n USE dbcsr_iterator_operations, ONLY: dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block, &\n dbcsr_iterator_start, &\n dbcsr_iterator_stop\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp, &\n int_8, &\n real_4, &\n real_8, &\n sp\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_sizes, dbcsr_distribution, dbcsr_get_data_type, dbcsr_get_num_blocks, &\n dbcsr_get_nze, dbcsr_has_symmetry, dbcsr_name, dbcsr_nblkcols_total, dbcsr_nblkrows_total, &\n dbcsr_nfullrows_local, dbcsr_release, dbcsr_row_block_sizes, dbcsr_valid_index\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_group, &\n dbcsr_mp_mynode, &\n dbcsr_mp_new, &\n dbcsr_mp_numnodes, &\n dbcsr_mp_release\n USE dbcsr_mpiwrap, ONLY: mp_environ, &\n mp_gather, &\n mp_recv, &\n mp_send, &\n mp_sum, mp_comm_type\n USE dbcsr_operations, ONLY: dbcsr_copy, &\n dbcsr_get_info, &\n dbcsr_set\n USE dbcsr_transformations, ONLY: dbcsr_complete_redistribute, &\n dbcsr_desymmetrize_deep\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_distribution_obj, &\n dbcsr_iterator, &\n dbcsr_mp_obj, &\n dbcsr_type\n USE dbcsr_work_operations, ONLY: dbcsr_create\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_csr_conversions'\n\n LOGICAL, PARAMETER, PRIVATE :: careful_mod = .FALSE.\n\n INTEGER, PARAMETER, PUBLIC :: csr_dbcsr_blkrow_dist = 1, csr_eqrow_ceil_dist = 2, csr_eqrow_floor_dist = 3\n\n TYPE csr_mapping_data\n !! Mapping data relating local CSR indices to local indices of a block-row\n !! distributed (BRD) DBCSR matrix, and containing the block structure\n !! of the original DBCSR matrix from which the CSR matrix was created.\n\n PRIVATE\n INTEGER, DIMENSION(:), POINTER :: csr_to_brd_ind => NULL(), &\n brd_to_csr_ind => NULL()\n !! csr_to_brd_ind(csr_ind) gives the location of a matrix element with CSR index csr_ind (location in nzval_local) inside\n !! the data_area of the corresponding BRD matrix. If an element of the DBCSR matrix is treated as 0 in the CSR format, the\n !! index of this value is not in csr_to_brd_ind.\n !! same as csr_to_brd_ind but inverse mapping. If a given DBCSR index dbcsr_ind points to a zero element, then\n !! brd_to_csr_ind(dbcsr_ind) is -1.\n TYPE(dbcsr_type) :: brd_mat = dbcsr_type()\n !! DBCSR BRD matrix acting as an intermediate step in any conversion from and to DBCSR format.\n\n LOGICAL :: has_dbcsr_block_data = .FALSE.\n !! whether dbcsr_* fields are defined\n INTEGER :: dbcsr_nblkcols_total = -1, &\n dbcsr_nblkrows_total = -1, &\n dbcsr_nblks_local = -1\n !! data from original DBCSR matrix (not block-row distributed),\n !! representing the original block structure.\n INTEGER, DIMENSION(:), POINTER :: dbcsr_row_p => NULL(), dbcsr_col_i => NULL(), &\n dbcsr_row_blk_size => NULL(), dbcsr_col_blk_size => NULL()\n !! data from original DBCSR matrix (not block-row distributed),\n !! representing the original block structure.\n END TYPE\n\n TYPE csr_data_area_type\n !! Data type of CSR matrices\n\n REAL(KIND=real_4), DIMENSION(:), POINTER :: r_sp => Null()\n !! real, single precision data array\n REAL(KIND=real_8), DIMENSION(:), POINTER :: r_dp => Null()\n !! real, double precision data array\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER :: c_sp => Null()\n !! complex, double precision data array\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER :: c_dp => Null()\n INTEGER :: data_type = -1\n !! data type of CSR matrix\n END TYPE\n\n TYPE csr_type\n !! Type for CSR matrices\n\n INTEGER :: nrows_total = -1, ncols_total = -1, &\n nze_local = -1, nrows_local = -1\n !! total number of rows\n !! total number of columns\n !! local number of nonzero elements\n !! local number of rows\n TYPE(mp_comm_type) :: mp_group = mp_comm_type()\n !! message-passing group ID\n INTEGER(KIND=int_8) :: nze_total = -1_int_8\n !! total number of nonzero elements\n INTEGER, DIMENSION(:), POINTER :: rowptr_local => NULL(), &\n colind_local => NULL(), &\n nzerow_local => NULL()\n !! indices of elements inside nzval_local starting a row\n !! column indices of elements inside nzval_local\n TYPE(csr_data_area_type) :: nzval_local = csr_data_area_type()\n !! values of local non-zero elements, row-wise ordering.\n TYPE(csr_mapping_data) :: dbcsr_mapping = csr_mapping_data()\n !! mapping data relating indices of nzval_local to indices of a block-row distributed DBCSR matrix\n LOGICAL :: has_mapping = .FALSE.\n !! whether dbcsr_mapping is defined\n LOGICAL :: valid = .FALSE.\n !! whether essential data (excluding dbcsr_mapping) is completely allocated\n LOGICAL :: has_indices = .FALSE.\n !! whether rowptr_local and colind_local are defined\n END TYPE csr_type\n\n TYPE csr_p_type\n TYPE(csr_type), POINTER :: csr_mat => NULL()\n END TYPE csr_p_type\n\n PUBLIC :: csr_type, csr_p_type, convert_csr_to_dbcsr, &\n csr_create_from_dbcsr, &\n csr_destroy, &\n convert_dbcsr_to_csr, &\n csr_create_new, csr_create_template, &\n csr_print_sparsity, dbcsr_to_csr_filter, &\n csr_write\n\n INTERFACE csr_create\n MODULE PROCEDURE csr_create_new, csr_create_template\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE csr_create_new(csr_mat, nrows_total, ncols_total, nze_total, &\n nze_local, nrows_local, mp_group, data_type)\n !! Create a new CSR matrix and allocate all internal data (excluding dbcsr_mapping)\n\n TYPE(csr_type), INTENT(OUT) :: csr_mat\n !! CSR matrix to return\n INTEGER, INTENT(IN) :: nrows_total, ncols_total\n !! total number of rows\n !! total number of columns\n INTEGER(KIND=int_8) :: nze_total\n !! total number of non-zero elements\n INTEGER, INTENT(IN) :: nze_local, nrows_local\n !! local number of non-zero elements\n !! local number of rows\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n INTEGER, INTENT(IN), OPTIONAL :: data_type\n !! data type of the CSR matrix (default real double prec.)\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_create_new'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n IF (nrows_total .LT. nrows_local) &\n DBCSR_ABORT(\"local number of rows must not exceed total number of rows\")\n\n IF (nze_total .LT. nze_local) CALL dbcsr_abort(__LOCATION__, \"local number of non-zero \"// &\n \"elements must not exceed total number of non-zero elements\")\n\n IF (INT(nrows_total, kind=int_8)*INT(ncols_total, kind=int_8) .LT. nze_total) &\n DBCSR_ABORT(\"Total number of non-zero elements must not exceed total matrix size\")\n\n IF (INT(nrows_local, kind=int_8)*INT(ncols_total, kind=int_8) .LT. nze_local) &\n DBCSR_ABORT(\"Local number of non-zero elements must not exceed local matrix size\")\n\n csr_mat%ncols_total = ncols_total\n csr_mat%nrows_total = nrows_total\n csr_mat%nze_total = nze_total\n csr_mat%nze_local = nze_local\n ALLOCATE (csr_mat%colind_local(nze_local))\n csr_mat%nrows_local = nrows_local\n ALLOCATE (csr_mat%rowptr_local(nrows_local + 1))\n ALLOCATE (csr_mat%nzerow_local(nrows_local))\n\n IF (PRESENT(data_type)) THEN\n csr_mat%nzval_local%data_type = data_type\n ELSE\n csr_mat%nzval_local%data_type = dbcsr_type_real_default\n END IF\n\n SELECT CASE (csr_mat%nzval_local%data_type)\n CASE (dbcsr_type_real_4)\n ALLOCATE (csr_mat%nzval_local%r_sp(nze_local))\n CASE (dbcsr_type_real_8)\n ALLOCATE (csr_mat%nzval_local%r_dp(nze_local))\n CASE (dbcsr_type_complex_4)\n ALLOCATE (csr_mat%nzval_local%c_sp(nze_local))\n CASE (dbcsr_type_complex_8)\n ALLOCATE (csr_mat%nzval_local%c_dp(nze_local))\n CASE DEFAULT\n DBCSR_ABORT(\"Invalid matrix type\")\n END SELECT\n\n csr_mat%mp_group = mp_group\n\n csr_mat%valid = .TRUE.\n csr_mat%has_mapping = .FALSE.\n csr_mat%has_indices = .FALSE.\n\n CALL timestop(handle)\n\n END SUBROUTINE csr_create_new\n\n SUBROUTINE csr_create_template(matrix_b, matrix_a)\n !! Create a new CSR matrix and allocate all internal data using\n !! an existing CSR matrix. Copies the indices but no actual matrix data.\n\n TYPE(csr_type), INTENT(OUT) :: matrix_b\n !! Target CSR matrix\n TYPE(csr_type), INTENT(IN) :: matrix_a\n !! Source CSR matrix\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_create_template'\n\n INTEGER :: handle\n TYPE(csr_mapping_data) :: map\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. matrix_a%valid) &\n DBCSR_ABORT(\"Source CSR matrix must be created.\")\n\n CALL csr_create_new(matrix_b, matrix_a%nrows_total, matrix_a%ncols_total, &\n matrix_a%nze_total, matrix_a%nze_local, matrix_a%nrows_local, &\n matrix_a%mp_group, matrix_a%nzval_local%data_type)\n\n matrix_b%mp_group = matrix_a%mp_group\n matrix_b%has_mapping = matrix_a%has_mapping\n matrix_b%has_indices = matrix_a%has_indices\n\n IF (matrix_a%has_indices) THEN\n matrix_b%rowptr_local = matrix_a%rowptr_local\n matrix_b%nzerow_local = matrix_a%nzerow_local\n matrix_b%colind_local = matrix_a%colind_local\n END IF\n\n IF (matrix_a%has_mapping) THEN\n map = matrix_a%dbcsr_mapping\n ALLOCATE (matrix_b%dbcsr_mapping%csr_to_brd_ind(SIZE(map%csr_to_brd_ind)))\n ALLOCATE (matrix_b%dbcsr_mapping%brd_to_csr_ind(SIZE(map%brd_to_csr_ind)))\n matrix_b%dbcsr_mapping%csr_to_brd_ind = map%csr_to_brd_ind\n matrix_b%dbcsr_mapping%brd_to_csr_ind = map%brd_to_csr_ind\n matrix_b%dbcsr_mapping%has_dbcsr_block_data = map%has_dbcsr_block_data\n IF (matrix_b%dbcsr_mapping%has_dbcsr_block_data) THEN\n matrix_b%dbcsr_mapping%dbcsr_nblkcols_total = map%dbcsr_nblkcols_total\n matrix_b%dbcsr_mapping%dbcsr_nblkrows_total = map%dbcsr_nblkrows_total\n ALLOCATE (matrix_b%dbcsr_mapping%dbcsr_row_blk_size(map%dbcsr_nblkrows_total))\n ALLOCATE (matrix_b%dbcsr_mapping%dbcsr_col_blk_size(map%dbcsr_nblkcols_total))\n ALLOCATE (matrix_b%dbcsr_mapping%dbcsr_row_p(map%dbcsr_nblkrows_total + 1))\n ALLOCATE (matrix_b%dbcsr_mapping%dbcsr_col_i(map%dbcsr_nblks_local))\n matrix_b%dbcsr_mapping%dbcsr_nblks_local = map%dbcsr_nblks_local\n matrix_b%dbcsr_mapping%dbcsr_row_p = map%dbcsr_row_p\n matrix_b%dbcsr_mapping%dbcsr_col_i = map%dbcsr_col_i\n matrix_b%dbcsr_mapping%dbcsr_row_blk_size = map%dbcsr_row_blk_size\n matrix_b%dbcsr_mapping%dbcsr_col_blk_size = map%dbcsr_col_blk_size\n END IF\n\n CALL dbcsr_copy(matrix_b%dbcsr_mapping%brd_mat, map%brd_mat)\n\n matrix_b%valid = .TRUE.\n\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE csr_create_template\n\n SUBROUTINE csr_create_nzerow(csr_mat, nzerow)\n !! create a vector containing the number of non-zero elements in each\n !! row of a CSR matrix\n\n TYPE(csr_type), INTENT(IN) :: csr_mat\n !! CSR matrix\n INTEGER, DIMENSION(:), INTENT(INOUT), POINTER :: nzerow\n !! number of non-zero elements in each row\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_create_nzerow'\n\n INTEGER :: handle, k\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. csr_mat%valid) &\n DBCSR_ABORT(\"CSR matrix must be created.\")\n\n DO k = 1, csr_mat%nrows_local\n nzerow(k) = csr_mat%rowptr_local(k + 1) - csr_mat%rowptr_local(k)\n END DO\n\n CALL timestop(handle)\n END SUBROUTINE csr_create_nzerow\n\n SUBROUTINE csr_destroy(csr_mat)\n !! destroy a CSR matrix\n TYPE(csr_type), INTENT(INOUT) :: csr_mat\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_destroy'\n INTEGER :: handle\n TYPE(csr_mapping_data) :: map\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. csr_mat%valid) &\n DBCSR_ABORT(\"CSR matrix must be created before destroying it.\")\n\n IF (ASSOCIATED(csr_mat%rowptr_local)) DEALLOCATE (csr_mat%rowptr_local)\n IF (ASSOCIATED(csr_mat%nzerow_local)) DEALLOCATE (csr_mat%nzerow_local)\n IF (ASSOCIATED(csr_mat%colind_local)) DEALLOCATE (csr_mat%colind_local)\n\n IF (csr_mat%has_mapping) THEN\n map = csr_mat%dbcsr_mapping\n IF (ASSOCIATED(map%csr_to_brd_ind)) &\n DEALLOCATE (map%csr_to_brd_ind)\n IF (ASSOCIATED(map%brd_to_csr_ind)) &\n DEALLOCATE (map%brd_to_csr_ind)\n IF (ASSOCIATED(map%dbcsr_row_blk_size)) &\n DEALLOCATE (map%dbcsr_row_blk_size)\n IF (ASSOCIATED(map%dbcsr_col_blk_size)) &\n DEALLOCATE (map%dbcsr_col_blk_size)\n IF (ASSOCIATED(map%dbcsr_row_p)) &\n DEALLOCATE (map%dbcsr_row_p)\n IF (ASSOCIATED(map%dbcsr_col_i)) &\n DEALLOCATE (map%dbcsr_col_i)\n\n CALL dbcsr_release(map%brd_mat)\n END IF\n\n IF (ASSOCIATED(csr_mat%nzval_local%r_dp)) &\n DEALLOCATE (csr_mat%nzval_local%r_dp)\n IF (ASSOCIATED(csr_mat%nzval_local%r_sp)) &\n DEALLOCATE (csr_mat%nzval_local%r_sp)\n IF (ASSOCIATED(csr_mat%nzval_local%c_sp)) &\n DEALLOCATE (csr_mat%nzval_local%c_sp)\n IF (ASSOCIATED(csr_mat%nzval_local%c_dp)) &\n DEALLOCATE (csr_mat%nzval_local%c_dp)\n\n csr_mat%has_mapping = .FALSE.\n csr_mat%valid = .FALSE.\n csr_mat%dbcsr_mapping%has_dbcsr_block_data = .FALSE.\n csr_mat%has_indices = .FALSE.\n csr_mat%nzval_local%data_type = -1\n\n CALL timestop(handle)\n END SUBROUTINE csr_destroy\n\n SUBROUTINE csr_create_from_brd(brd_mat, csr_mat, csr_sparsity_brd)\n !! Allocate the internals of a CSR matrix using data from a block-row\n !! distributed DBCSR matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: brd_mat\n !! block-row-distributed DBCSR matrix\n TYPE(csr_type), INTENT(OUT) :: csr_mat\n !! CSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: csr_sparsity_brd\n !! BRD matrix representing sparsity pattern of CSR matrix\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_create_from_brd'\n\n INTEGER :: data_type, handle, &\n nfullcols_total, nfullrows, &\n nfullrows_total, nze_local\n INTEGER(KIND=int_8) :: nze_total\n INTEGER, DIMENSION(:), POINTER :: cdist, csr_index, dbcsr_index\n TYPE(dbcsr_distribution_obj) :: dist_current\n TYPE(mp_comm_type) :: mp_group\n\n CALL timeset(routineN, handle)\n NULLIFY (dbcsr_index, csr_index, cdist)\n\n dist_current = dbcsr_distribution(brd_mat)\n\n mp_group = dbcsr_mp_group(dbcsr_distribution_mp(dist_current))\n cdist => dbcsr_distribution_col_dist(dist_current)\n\n IF (ANY(cdist .NE. 0)) &\n DBCSR_ABORT(\"DBCSR matrix not block-row distributed.\")\n\n ! Calculate mapping between BRD and CSR indices\n CALL csr_get_dbcsr_mapping(brd_mat, dbcsr_index, csr_index, nze_local, &\n csr_sparsity_brd)\n\n CALL dbcsr_get_info(brd_mat, nfullrows_total=nfullrows_total, &\n nfullcols_total=nfullcols_total)\n\n ! Sum up local number of non-zero elements to get total number\n nze_total = nze_local\n CALL mp_sum(nze_total, mp_group)\n\n nfullrows = dbcsr_nfullrows_local(brd_mat)\n data_type = dbcsr_get_data_type(brd_mat)\n\n ! Allocate CSR matrix\n CALL csr_create_new(csr_mat, nfullrows_total, nfullcols_total, nze_total, &\n nze_local, nfullrows, mp_group, data_type)\n\n csr_mat%dbcsr_mapping%brd_to_csr_ind => csr_index\n csr_mat%dbcsr_mapping%csr_to_brd_ind => dbcsr_index\n\n csr_mat%has_mapping = .TRUE.\n csr_mat%dbcsr_mapping%brd_mat = brd_mat\n\n CALL timestop(handle)\n END SUBROUTINE csr_create_from_brd\n\n SUBROUTINE csr_get_dbcsr_mapping(brd_mat, dbcsr_index, csr_index, csr_nze_local, &\n csr_sparsity_brd)\n !! create the mapping information between a block-row distributed DBCSR\n !! matrix and the corresponding CSR matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: brd_mat\n !! the block-row distributed DBCSR matrix\n INTEGER, DIMENSION(:), INTENT(OUT), POINTER :: dbcsr_index, csr_index\n !! csr to dbcsr index mapping\n !! dbcsr to csr index mapping\n INTEGER, INTENT(OUT) :: csr_nze_local\n !! number of local non-zero elements\n TYPE(dbcsr_type), INTENT(IN) :: csr_sparsity_brd\n !! sparsity of CSR matrix represented in BRD format\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_get_dbcsr_mapping'\n\n INTEGER :: blk, blkcol, blkrow, col_blk_size, csr_ind, data_type, dbcsr_ind, el_sum, &\n fullcol_sum_blkrow, handle, l, m, n, nblkrows_total, nze, prev_blk, prev_blkrow, &\n prev_row_blk_size, row_blk_offset, row_blk_size\n INTEGER, ALLOCATABLE, DIMENSION(:) :: csr_nze, nfullcol_blkrow\n INTEGER, DIMENSION(:), POINTER :: dbcsr_index_nozeroes\n LOGICAL :: tr\n TYPE(dbcsr_iterator) :: iter\n\n CALL timeset(routineN, handle)\n\n m = 0\n dbcsr_ind = 0\n fullcol_sum_blkrow = 0\n NULLIFY (dbcsr_index, csr_index)\n\n CALL dbcsr_get_info(brd_mat, nblkrows_total=nblkrows_total)\n nze = dbcsr_get_nze(brd_mat)\n\n ALLOCATE (nfullcol_blkrow(nblkrows_total))\n ALLOCATE (dbcsr_index(nze))\n ALLOCATE (csr_index(nze))\n\n CALL dbcsr_iterator_start(iter, brd_mat, read_only=.TRUE.)\n nfullcol_blkrow = 0 ! number of non-zero full columns in each block row\n prev_blk = 0\n\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blkrow, blkcol, blk, transposed=tr, &\n col_size=col_blk_size)\n\n IF (blk /= prev_blk + 1) &\n DBCSR_ABORT(\"iterator is required to traverse the blocks in a row-wise fashion\")\n\n prev_blk = blk\n\n nfullcol_blkrow(blkrow) = nfullcol_blkrow(blkrow) + col_blk_size\n IF (tr) &\n DBCSR_ABORT(\"DBCSR block data must not be transposed\")\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n el_sum = 0 ! number of elements above current block row\n\n prev_blkrow = 0 ! store number and size of previous block row\n prev_row_blk_size = 0\n\n CALL dbcsr_iterator_start(iter, brd_mat, read_only=.TRUE.)\n\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n\n CALL dbcsr_iterator_next_block(iter, blkrow, blkcol, blk, transposed=tr, &\n row_size=row_blk_size, col_size=col_blk_size, row_offset=row_blk_offset)\n\n IF (blkrow .GT. prev_blkrow) THEN ! new block row\n IF (prev_blkrow .GT. 0) THEN\n el_sum = el_sum + nfullcol_blkrow(prev_blkrow)*prev_row_blk_size\n END IF\n\n ! number of non-zero full columns on the left of current block:\n fullcol_sum_blkrow = 0\n\n dbcsr_ind = el_sum\n END IF\n DO n = 1, col_blk_size !nr of columns\n DO m = 1, row_blk_size !nr of rows\n dbcsr_ind = dbcsr_ind + 1\n csr_ind = (m - 1)*nfullcol_blkrow(blkrow) + fullcol_sum_blkrow + n + el_sum\n dbcsr_index(csr_ind) = dbcsr_ind\n csr_index(dbcsr_ind) = csr_ind\n END DO\n END DO\n fullcol_sum_blkrow = fullcol_sum_blkrow + col_blk_size\n prev_blkrow = blkrow\n prev_row_blk_size = row_blk_size\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n ! remove BRD zero elements from CSR format\n data_type = dbcsr_get_data_type(csr_sparsity_brd)\n ALLOCATE (csr_nze(nze))\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n csr_nze(:) = INT(csr_sparsity_brd%data_area%d%r_sp(1:nze))\n CASE (dbcsr_type_real_8)\n csr_nze(:) = INT(csr_sparsity_brd%data_area%d%r_dp(1:nze))\n CASE DEFAULT\n DBCSR_ABORT(\"CSR sparsity matrix must have a real datatype\")\n END SELECT\n\n IF (ANY(csr_nze .EQ. 0)) THEN\n ALLOCATE (dbcsr_index_nozeroes(SUM(csr_nze)))\n m = 0 ! csr index if zeroes are excluded from CSR data\n DO l = 1, nze ! csr index if zeroes are included in CSR data\n IF (csr_nze(dbcsr_index(l)) .EQ. 0) THEN\n csr_index(dbcsr_index(l)) = -1\n ELSE\n m = m + 1\n dbcsr_index_nozeroes(m) = dbcsr_index(l)\n csr_index(dbcsr_index(l)) = m\n END IF\n END DO\n DEALLOCATE (dbcsr_index)\n dbcsr_index => dbcsr_index_nozeroes\n END IF\n\n IF (ANY(csr_nze .EQ. 0)) THEN\n csr_nze_local = m\n ELSE\n csr_nze_local = nze\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE csr_get_dbcsr_mapping\n\n SUBROUTINE convert_csr_to_brd(brd_mat, csr_mat)\n !! Copies data from a CSR matrix to a block-row distributed DBCSR matrix.\n !! The DBCSR matrix must have a block structure consistent with the CSR matrix.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: brd_mat\n !! block-row distributed DBCSR matrix\n TYPE(csr_type), INTENT(IN) :: csr_mat\n !! CSR matrix\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'convert_csr_to_brd'\n\n INTEGER :: data_type, handle, ind, k, nze\n\n CALL timeset(routineN, handle)\n\n data_type = dbcsr_get_data_type(brd_mat)\n nze = dbcsr_get_nze(brd_mat)\n CALL dbcsr_data_release(brd_mat%data_area)\n CALL dbcsr_data_new(brd_mat%data_area, data_type, nze)\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n brd_mat%data_area%d%r_sp(1:nze) = 0.0_sp\n CASE (dbcsr_type_real_8)\n brd_mat%data_area%d%r_dp(1:nze) = 0.0_dp\n CASE (dbcsr_type_complex_4)\n brd_mat%data_area%d%c_sp(1:nze) = 0.0_sp\n CASE (dbcsr_type_complex_8)\n brd_mat%data_area%d%c_dp(1:nze) = 0.0_dp\n END SELECT\n\n DO k = 1, csr_mat%nze_local\n ind = csr_mat%dbcsr_mapping%csr_to_brd_ind(k)\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n brd_mat%data_area%d%r_sp(ind) = csr_mat%nzval_local%r_sp(k)\n CASE (dbcsr_type_real_8)\n brd_mat%data_area%d%r_dp(ind) = csr_mat%nzval_local%r_dp(k)\n CASE (dbcsr_type_complex_4)\n brd_mat%data_area%d%c_sp(ind) = csr_mat%nzval_local%c_sp(k)\n CASE (dbcsr_type_complex_8)\n brd_mat%data_area%d%c_dp(ind) = csr_mat%nzval_local%c_dp(k)\n END SELECT\n END DO\n\n CALL timestop(handle)\n END SUBROUTINE convert_csr_to_brd\n\n SUBROUTINE convert_brd_to_csr(brd_mat, csr_mat)\n !! Convert a block-row distributed DBCSR matrix to a CSR matrix\n !! The DBCSR matrix must have a block structure consistent with the CSR matrix.\n\n TYPE(dbcsr_type), INTENT(IN) :: brd_mat\n !! block-row distributed DBCSR matrix\n TYPE(csr_type), INTENT(INOUT) :: csr_mat\n !! CSR matrix\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'convert_brd_to_csr'\n\n INTEGER :: blk, blkcol, blkrow, col_blk_offset, col_blk_size, csr_ind, data_type, dbcsr_ind, &\n el_sum, handle, ind_blk_data, k, local_row_ind, m, n, nblkrows_total, node_row_offset, &\n prev_blkrow, prev_row_blk_size, row_blk_offset, row_blk_size\n INTEGER, ALLOCATABLE, DIMENSION(:) :: nfullcol_blkrow\n INTEGER, DIMENSION(:), POINTER :: colind, csr_index, dbcsr_index, nzerow, &\n rowptr\n LOGICAL :: new_ind, tr\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_iterator) :: iter\n\n CALL timeset(routineN, handle)\n local_row_ind = 0\n dbcsr_ind = 0\n node_row_offset = 0\n NULLIFY (rowptr, colind, dbcsr_index, csr_index)\n\n dbcsr_index => csr_mat%dbcsr_mapping%csr_to_brd_ind\n csr_index => csr_mat%dbcsr_mapping%brd_to_csr_ind\n\n ! CSR indices are not recalculated if indices are already defined\n new_ind = .NOT. (csr_mat%has_indices)\n\n IF (.NOT. csr_mat%has_mapping) &\n DBCSR_ABORT(\"DBCSR mapping of CSR matrix must be defined\")\n\n ! Calculate mapping between CSR matrix and DBCSR matrix if not yet defined\n !IF (.NOT. csr_mat%has_mapping ) THEN\n ! CALL csr_get_dbcsr_mapping (brd_mat, dbcsr_index, csr_index, nze)\n !ENDIF\n\n CALL dbcsr_get_info(brd_mat, nblkrows_total=nblkrows_total)\n ALLOCATE (nfullcol_blkrow(nblkrows_total))\n\n ! iteration over blocks without touching data,\n ! in order to get number of non-zero full columns in each block row\n CALL dbcsr_iterator_start(iter, brd_mat, read_only=.TRUE.)\n blkrow = 0\n nfullcol_blkrow = 0 ! number of non-zero full columns in each block row\n data_type = dbcsr_get_data_type(brd_mat)\n\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blkrow, blkcol, blk, col_size=col_blk_size, &\n row_offset=row_blk_offset)\n nfullcol_blkrow(blkrow) = nfullcol_blkrow(blkrow) + col_blk_size\n IF (blk .EQ. 1) THEN\n node_row_offset = row_blk_offset\n END IF\n END DO\n\n CALL dbcsr_iterator_stop(iter)\n\n ! Copy data from BRD matrix to CSR matrix and calculate CSR indices\n prev_blkrow = 0\n prev_row_blk_size = 0\n el_sum = 0 ! number of elements above current block row\n colind => csr_mat%colind_local\n rowptr => csr_mat%rowptr_local\n nzerow => csr_mat%nzerow_local\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, data_type)\n\n CALL dbcsr_iterator_start(iter, brd_mat, read_only=.TRUE.)\n\n IF (new_ind) rowptr(:) = 0 ! initialize to 0 in order to check which rows are 0 at a later time\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blkrow, blkcol, block, tr, &\n col_size=col_blk_size, row_size=row_blk_size, row_offset=row_blk_offset, &\n col_offset=col_blk_offset)\n\n IF (tr) &\n DBCSR_ABORT(\"DBCSR block data must not be transposed\")\n\n IF (blkrow > prev_blkrow) THEN ! new block row\n local_row_ind = row_blk_offset - node_row_offset ! actually: local row index - 1\n IF (prev_blkrow .GT. 0) THEN\n el_sum = el_sum + nfullcol_blkrow(prev_blkrow)*prev_row_blk_size\n END IF\n dbcsr_ind = el_sum\n END IF\n DO n = 1, col_blk_size !nr of columns\n DO m = 1, row_blk_size !nr of rows\n dbcsr_ind = dbcsr_ind + 1\n csr_ind = csr_index(dbcsr_ind) ! get CSR index for current element\n IF (csr_ind .GT. 0) THEN ! is non-zero element if csr_ind > 0\n IF (new_ind) THEN\n ! Calculate CSR column index\n colind(csr_ind) = col_blk_offset + n - 1\n ! Calculate CSR row pointer\n ! (not accounting for zero elements inside non-zero blocks)\n IF (rowptr(local_row_ind + m) .LE. 0) rowptr(local_row_ind + m) = &\n rowptr(local_row_ind + m) + el_sum + 1 + nfullcol_blkrow(blkrow)*(m - 1)\n END IF\n ind_blk_data = (m + row_blk_size*(n - 1)) ! index of data inside DBCSR blocks\n SELECT CASE (csr_mat%nzval_local%data_type)\n CASE (dbcsr_type_real_4)\n csr_mat%nzval_local%r_sp(csr_ind) = block%d%r_sp(ind_blk_data)\n CASE (dbcsr_type_real_8)\n csr_mat%nzval_local%r_dp(csr_ind) = block%d%r_dp(ind_blk_data)\n CASE (dbcsr_type_complex_4)\n csr_mat%nzval_local%c_sp(csr_ind) = block%d%c_sp(ind_blk_data)\n CASE (dbcsr_type_complex_8)\n csr_mat%nzval_local%c_dp(csr_ind) = block%d%c_dp(ind_blk_data)\n END SELECT\n ELSE ! is zero element if ind = -1\n ! CSR row pointer has to be corrected if element is zero\n ! (subtract 1 from all subsequent row pointers)\n IF (new_ind) rowptr(local_row_ind + m + 1:) = rowptr(local_row_ind + m + 1:) - 1\n END IF\n END DO\n END DO\n prev_blkrow = blkrow\n prev_row_blk_size = row_blk_size\n END DO\n\n IF (new_ind) THEN\n ! Repeat previous row pointer for row pointers to zero rows\n IF (csr_mat%nrows_local .GT. 0) rowptr(1) = 1\n DO k = 1, csr_mat%nrows_local\n IF (rowptr(k) .LE. 0) rowptr(k) = rowptr(k - 1)\n END DO\n\n rowptr(csr_mat%nrows_local + 1) = csr_mat%nze_local + 1\n END IF\n\n CALL csr_create_nzerow(csr_mat, nzerow)\n\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n\n IF (new_ind) csr_mat%has_indices = .TRUE.\n\n CALL timestop(handle)\n END SUBROUTINE convert_brd_to_csr\n\n SUBROUTINE csr_create_from_dbcsr(dbcsr_mat, csr_mat, dist_format, csr_sparsity, numnodes)\n !! create CSR matrix including dbcsr_mapping from arbitrary DBCSR matrix\n !! in order to prepare conversion.\n\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n TYPE(csr_type), INTENT(OUT) :: csr_mat\n INTEGER, INTENT(IN) :: dist_format\n !! how to distribute CSR rows over processes: csr_dbcsr_blkrow_dist: the number of rows per process is adapted to the row\n !! block sizes in the DBCSR format such that blocks are not split over different processes. csr_eqrow_ceil_dist: each\n !! process holds ceiling(N/P) CSR rows. csr_eqrow_floor_dist: each process holds floor(N/P) CSR rows.\n TYPE(dbcsr_type), INTENT(IN), OPTIONAL :: csr_sparsity\n !! DBCSR matrix containing 0 and 1, representing CSR sparsity pattern 1: non-zero element 0: zero element (not present in\n !! CSR format) Note: matrix must be of data_type dbcsr_type_real_4 or dbcsr_type_real_8 (integer types not supported)\n INTEGER, INTENT(IN), OPTIONAL :: numnodes\n !! number of nodes to use for distributing CSR matrix (optional, default is number of nodes used for DBCSR matrix)\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_create_from_dbcsr'\n\n INTEGER :: dbcsr_numnodes, handle, nblkcols_total, &\n nblkrows_total, nblks_local, num_p\n LOGICAL :: equal_dist, floor_dist\n TYPE(dbcsr_type) :: brd_mat, csr_sparsity_brd, &\n csr_sparsity_nosym, dbcsr_mat_nosym\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. dbcsr_valid_index(dbcsr_mat)) &\n DBCSR_ABORT(\"Invalid DBCSR matrix\")\n\n SELECT CASE (dist_format)\n CASE (csr_dbcsr_blkrow_dist)\n equal_dist = .FALSE.\n floor_dist = .FALSE.\n CASE (csr_eqrow_ceil_dist)\n equal_dist = .TRUE.\n floor_dist = .FALSE.\n CASE (csr_eqrow_floor_dist)\n equal_dist = .TRUE.\n floor_dist = .TRUE.\n END SELECT\n\n ! Conversion does not support matrices in symmetric format, therefore desymmetrize\n IF (dbcsr_has_symmetry(dbcsr_mat)) THEN\n CALL dbcsr_desymmetrize_deep(dbcsr_mat, dbcsr_mat_nosym, untransposed_data=.TRUE.)\n ELSE\n CALL dbcsr_copy(dbcsr_mat_nosym, dbcsr_mat)\n END IF\n\n IF (PRESENT(csr_sparsity)) THEN\n IF (dbcsr_has_symmetry(csr_sparsity)) THEN\n CALL dbcsr_desymmetrize_deep(csr_sparsity, csr_sparsity_nosym, &\n untransposed_data=.TRUE.)\n ELSE\n CALL dbcsr_copy(csr_sparsity_nosym, csr_sparsity)\n END IF\n ELSE\n CALL dbcsr_create(csr_sparsity_nosym, &\n template=dbcsr_mat_nosym, &\n name=\"CSR sparsity matrix\", &\n data_type=dbcsr_type_real_8)\n CALL dbcsr_copy(csr_sparsity_nosym, dbcsr_mat_nosym)\n CALL dbcsr_set(csr_sparsity_nosym, 1.0_dp)\n END IF\n\n IF (.NOT. dbcsr_has_same_block_structure(dbcsr_mat_nosym, csr_sparsity_nosym)) &\n DBCSR_ABORT(\"csr_sparsity and dbcsr_mat have different sparsity pattern\")\n\n dbcsr_numnodes = dbcsr_mp_numnodes(dbcsr_distribution_mp(dbcsr_distribution(dbcsr_mat)))\n IF (PRESENT(numnodes)) THEN\n IF (numnodes .GT. dbcsr_numnodes) &\n CALL dbcsr_abort(__LOCATION__, \"Number of nodes used for CSR matrix \"// &\n \"must not exceed total number of nodes\")\n\n num_p = numnodes\n ELSE\n num_p = dbcsr_numnodes\n END IF\n\n CALL dbcsr_create_brd(dbcsr_mat_nosym, brd_mat, equal_dist, floor_dist, &\n num_p)\n CALL dbcsr_create_brd(csr_sparsity_nosym, csr_sparsity_brd, equal_dist, floor_dist, &\n num_p)\n\n ! Create CSR matrix from BRD matrix\n CALL csr_create_from_brd(brd_mat, csr_mat, csr_sparsity_brd)\n\n ! Store DBCSR block data inside CSR matrix\n ! (otherwise, this data is lost when converting from DBCSR to CSR)\n nblks_local = dbcsr_get_num_blocks(dbcsr_mat_nosym)\n nblkrows_total = dbcsr_nblkrows_total(dbcsr_mat_nosym)\n nblkcols_total = dbcsr_nblkcols_total(dbcsr_mat_nosym)\n\n csr_mat%dbcsr_mapping%dbcsr_nblkcols_total = nblkcols_total\n csr_mat%dbcsr_mapping%dbcsr_nblkrows_total = nblkrows_total\n csr_mat%dbcsr_mapping%dbcsr_nblks_local = nblks_local\n ALLOCATE (csr_mat%dbcsr_mapping%dbcsr_row_p(nblkrows_total + 1))\n csr_mat%dbcsr_mapping%dbcsr_row_p = dbcsr_mat_nosym%row_p\n ALLOCATE (csr_mat%dbcsr_mapping%dbcsr_col_i(nblks_local))\n csr_mat%dbcsr_mapping%dbcsr_col_i = dbcsr_mat_nosym%col_i\n\n ALLOCATE (csr_mat%dbcsr_mapping%dbcsr_row_blk_size(nblkrows_total))\n ALLOCATE (csr_mat%dbcsr_mapping%dbcsr_col_blk_size(nblkcols_total))\n\n csr_mat%dbcsr_mapping%dbcsr_row_blk_size = dbcsr_row_block_sizes(dbcsr_mat_nosym)\n csr_mat%dbcsr_mapping%dbcsr_col_blk_size = dbcsr_col_block_sizes(dbcsr_mat_nosym)\n\n csr_mat%dbcsr_mapping%has_dbcsr_block_data = .TRUE.\n\n CALL dbcsr_release(dbcsr_mat_nosym)\n CALL dbcsr_release(csr_sparsity_nosym)\n CALL dbcsr_release(csr_sparsity_brd)\n\n CALL timestop(handle)\n END SUBROUTINE csr_create_from_dbcsr\n\n FUNCTION dbcsr_has_same_block_structure(matrix_a, matrix_b) RESULT(is_equal)\n !! Helper function to assert that two DBCSR matrices have the same block\n !! structure and same sparsity pattern\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n LOGICAL :: is_equal\n !! whether matrix_a and matrix_b have the same block structure\n\n is_equal = .TRUE.\n\n IF (dbcsr_nblkcols_total(matrix_a) .NE. dbcsr_nblkcols_total(matrix_b)) is_equal = .FALSE.\n IF (dbcsr_nblkrows_total(matrix_a) .NE. dbcsr_nblkrows_total(matrix_b)) is_equal = .FALSE.\n IF ((matrix_a%nblks) .NE. (matrix_b%nblks)) is_equal = .FALSE.\n IF (ANY(matrix_a%row_p .NE. matrix_b%row_p)) is_equal = .FALSE.\n IF (ANY(matrix_a%col_i .NE. matrix_b%col_i)) is_equal = .FALSE.\n IF (ANY(dbcsr_row_block_sizes(matrix_a) .NE. &\n dbcsr_row_block_sizes(matrix_b))) is_equal = .FALSE.\n IF (ANY(dbcsr_row_block_sizes(matrix_a) .NE. &\n dbcsr_row_block_sizes(matrix_b))) is_equal = .FALSE.\n\n END FUNCTION dbcsr_has_same_block_structure\n\n SUBROUTINE csr_assert_consistency_with_dbcsr(csr_mat, dbcsr_mat)\n !! Helper function to assert that a given CSR matrix and a given DBCSR\n !! matrix are consistent before doing the conversion\n\n TYPE(csr_type), INTENT(IN) :: csr_mat\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_assert_consistency_with_dbcsr'\n\n INTEGER :: handle\n TYPE(csr_mapping_data) :: map\n\n CALL timeset(routineN, handle)\n map = csr_mat%dbcsr_mapping\n IF (map%has_dbcsr_block_data) THEN\n IF (map%dbcsr_nblkcols_total .NE. dbcsr_nblkcols_total(dbcsr_mat)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"field nblkcols_total of DBCSR matrix not consistent with CSR matrix\")\n IF (map%dbcsr_nblkrows_total .NE. dbcsr_nblkrows_total(dbcsr_mat)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"field nblkrows_total of DBCSR matrix not consistent with CSR matrix\")\n IF (map%dbcsr_nblks_local .NE. dbcsr_mat%nblks) &\n CALL dbcsr_abort(__LOCATION__, &\n \"field nblks of DBCSR matrix not consistent with CSR matrix\")\n IF (ANY(map%dbcsr_row_p .NE. dbcsr_mat%row_p)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"field row_p of DBCSR matrix not consistent with CSR matrix\")\n IF (ANY(map%dbcsr_col_i .NE. dbcsr_mat%col_i)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"field dbcsr_col_i of DBCSR matrix not consistent with CSR matrix\")\n IF (ANY(map%dbcsr_row_blk_size .NE. dbcsr_row_block_sizes(dbcsr_mat))) &\n CALL dbcsr_abort(__LOCATION__, &\n \"field row_blk_size of DBCSR matrix not consistent with CSR matrix\")\n IF (ANY(map%dbcsr_col_blk_size .NE. dbcsr_col_block_sizes(dbcsr_mat))) &\n CALL dbcsr_abort(__LOCATION__, &\n \"field col_blk_size of DBCSR matrix not consistent with CSR matrix\")\n ELSE\n CALL dbcsr_warn(__LOCATION__, \"Can not assert consistency of the matrices \"// &\n \"as no block data stored in CSR matrix.\")\n END IF\n CALL timestop(handle)\n END SUBROUTINE csr_assert_consistency_with_dbcsr\n\n SUBROUTINE convert_dbcsr_to_csr(dbcsr_mat, csr_mat)\n !! Convert a DBCSR matrix to a CSR matrix.\n\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n !! DBCSR matrix to convert\n TYPE(csr_type), INTENT(INOUT) :: csr_mat\n !! correctly allocated CSR matrix\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'convert_dbcsr_to_csr'\n\n INTEGER :: handle\n TYPE(dbcsr_type) :: dbcsr_mat_nosym\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. dbcsr_valid_index(dbcsr_mat)) &\n DBCSR_ABORT(\"Invalid DBCSR matrix\")\n IF (dbcsr_get_data_type(dbcsr_mat) /= csr_mat%nzval_local%data_type) &\n DBCSR_ABORT(\"DBCSR and CSR matrix must have same type\")\n\n IF (.NOT. csr_mat%has_mapping) &\n DBCSR_ABORT(\"CSR_mat must contain mapping to DBCSR format\")\n\n IF (dbcsr_has_symmetry(dbcsr_mat)) THEN\n CALL dbcsr_desymmetrize_deep(dbcsr_mat, dbcsr_mat_nosym, untransposed_data=.TRUE.)\n ELSE\n dbcsr_mat_nosym = dbcsr_mat\n END IF\n\n CALL csr_assert_consistency_with_dbcsr(csr_mat, dbcsr_mat_nosym)\n\n ! 1) DBCSR -> BRD\n CALL dbcsr_complete_redistribute(dbcsr_mat_nosym, csr_mat%dbcsr_mapping%brd_mat)\n ! 2) BRD -> CSR\n CALL convert_brd_to_csr(csr_mat%dbcsr_mapping%brd_mat, csr_mat)\n\n IF (dbcsr_has_symmetry(dbcsr_mat)) CALL dbcsr_release(dbcsr_mat_nosym)\n\n CALL timestop(handle)\n END SUBROUTINE convert_dbcsr_to_csr\n\n SUBROUTINE convert_csr_to_dbcsr(dbcsr_mat, csr_mat)\n !! convert a CSR matrix to a DBCSR matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: dbcsr_mat\n !! correctly allocated DBCSR matrix\n TYPE(csr_type), INTENT(INOUT) :: csr_mat\n !! CSR matrix to convert\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'convert_csr_to_dbcsr'\n\n INTEGER :: handle\n TYPE(dbcsr_type) :: dbcsr_mat_nosym\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. dbcsr_valid_index(dbcsr_mat)) &\n DBCSR_ABORT(\"Invalid DBCSR matrix\")\n\n IF (dbcsr_get_data_type(dbcsr_mat) /= csr_mat%nzval_local%data_type) &\n DBCSR_ABORT(\"DBCSR and CSR matrix must have same type\")\n\n IF (.NOT. csr_mat%has_mapping) &\n DBCSR_ABORT(\"CSR_mat must contain mapping to DBCSR format\")\n\n ! Desymmetrize to assert that DBCSR matrix has sparsity pattern consistent with CSR matrix\n IF (dbcsr_has_symmetry(dbcsr_mat)) THEN\n CALL dbcsr_desymmetrize_deep(dbcsr_mat, dbcsr_mat_nosym, untransposed_data=.TRUE.)\n ELSE\n dbcsr_mat_nosym = dbcsr_mat\n END IF\n\n CALL csr_assert_consistency_with_dbcsr(csr_mat, dbcsr_mat_nosym)\n\n IF (dbcsr_has_symmetry(dbcsr_mat)) CALL dbcsr_release(dbcsr_mat_nosym)\n\n ! 1) CSR -> BRD\n CALL convert_csr_to_brd(csr_mat%dbcsr_mapping%brd_mat, csr_mat)\n\n ! 2) BRD -> DBCSR\n CALL dbcsr_complete_redistribute(csr_mat%dbcsr_mapping%brd_mat, dbcsr_mat)\n\n CALL timestop(handle)\n END SUBROUTINE convert_csr_to_dbcsr\n\n SUBROUTINE dbcsr_to_csr_filter(dbcsr_mat, csr_sparsity, eps)\n !! Apply filtering threshold eps to DBCSR blocks in order to improve\n !! CSR sparsity (currently only used for testing purposes)\n\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n TYPE(dbcsr_type), INTENT(OUT) :: csr_sparsity\n REAL(kind=real_8), INTENT(IN) :: eps\n\n INTEGER :: blkcol, blkrow, col_blk_size, data_type, &\n row_blk_size\n LOGICAL :: tr\n REAL(kind=real_8), ALLOCATABLE, DIMENSION(:) :: block_abs, csr_sparsity_blk\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_iterator) :: iter\n\n!REAL(kind=real_8), DIMENSION(:), POINTER :: block\n\n CALL dbcsr_create(csr_sparsity, &\n template=dbcsr_mat, &\n name=\"CSR sparsity\", &\n data_type=dbcsr_type_real_8)\n CALL dbcsr_copy(csr_sparsity, dbcsr_mat)\n CALL dbcsr_set(csr_sparsity, 1.0_dp)\n\n IF (eps .GT. 0.0_dp) THEN\n data_type = dbcsr_get_data_type(dbcsr_mat)\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, data_type)\n CALL dbcsr_iterator_start(iter, dbcsr_mat, read_only=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blkrow, blkcol, block, transposed=tr, &\n row_size=row_blk_size, col_size=col_blk_size)\n\n ALLOCATE (block_abs(row_blk_size*col_blk_size))\n ALLOCATE (csr_sparsity_blk(row_blk_size*col_blk_size))\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n block_abs(:) = REAL(ABS(block%d%r_sp(:)), KIND=real_8)\n CASE (dbcsr_type_real_8)\n block_abs(:) = REAL(ABS(block%d%r_dp(:)), KIND=real_8)\n CASE (dbcsr_type_complex_4)\n block_abs(:) = REAL(ABS(block%d%c_sp(:)), KIND=real_8)\n CASE (dbcsr_type_complex_8)\n block_abs(:) = REAL(ABS(block%d%c_dp(:)), KIND=real_8)\n END SELECT\n\n csr_sparsity_blk = 1.0_dp\n WHERE (block_abs .LT. eps) csr_sparsity_blk = 0.0_dp\n CALL dbcsr_put_block(csr_sparsity, blkrow, blkcol, csr_sparsity_blk, transposed=tr)\n DEALLOCATE (csr_sparsity_blk, block_abs)\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n END IF\n\n END SUBROUTINE dbcsr_to_csr_filter\n\n SUBROUTINE csr_write(csr_mat, unit_nr, upper_triangle, threshold, binary)\n !! Write a CSR matrix to file\n\n TYPE(csr_type), INTENT(IN) :: csr_mat\n INTEGER, INTENT(IN) :: unit_nr\n !! unit number to which output is written\n LOGICAL, INTENT(IN), OPTIONAL :: upper_triangle\n !! If true (default: false), write only upper triangular part of matrix\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: threshold\n !! threshold on the absolute value of the elements to be printed\n LOGICAL, INTENT(IN), OPTIONAL :: binary\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_write'\n CHARACTER(LEN=default_string_length) :: data_format\n COMPLEX(KIND=real_4), ALLOCATABLE, DIMENSION(:) :: nzval_to_master_c_sp\n COMPLEX(KIND=real_8), ALLOCATABLE, DIMENSION(:) :: nzval_to_master_c_dp\n INTEGER :: handle, i, ii, k, l, m, mynode, &\n numnodes, rowind, tag1, tag2, tag3\n INTEGER, ALLOCATABLE, DIMENSION(:) :: colind_to_master, nzerow_to_master, &\n sizes_numrowlocal, sizes_nzelocal\n LOGICAL :: bin, ut\n REAL(KIND=real_4), ALLOCATABLE, DIMENSION(:) :: nzval_to_master_r_sp\n REAL(KIND=real_8) :: thld\n REAL(KIND=real_8), ALLOCATABLE, DIMENSION(:) :: nzval_to_master_r_dp\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(upper_triangle)) THEN\n ut = upper_triangle\n ELSE\n ut = .FALSE.\n END IF\n\n IF (PRESENT(threshold)) THEN\n thld = threshold\n ELSE\n thld = 0.0_dp\n END IF\n\n IF (PRESENT(binary)) THEN\n bin = binary\n ELSE\n bin = .FALSE.\n END IF\n\n IF (.NOT. csr_mat%valid) &\n DBCSR_ABORT(\"can not write invalid CSR matrix\")\n\n tag1 = 0\n tag2 = 1\n tag3 = 2\n\n CALL mp_environ(numnodes, mynode, csr_mat%mp_group)\n\n ! gather sizes (number of local non-zero elements and number of local rows)\n ALLOCATE (sizes_nzelocal(numnodes))\n ALLOCATE (sizes_numrowlocal(numnodes))\n\n CALL mp_gather(csr_mat%nze_local, sizes_nzelocal, 0, csr_mat%mp_group)\n CALL mp_gather(csr_mat%nrows_local, sizes_numrowlocal, 0, csr_mat%mp_group)\n\n ! for each node, send matrix data to node 0 (master) and write data\n DO i = 0, numnodes - 1\n ii = i\n IF (mynode .EQ. 0) THEN ! allocations for receiving data from node i\n ALLOCATE (colind_to_master(sizes_nzelocal(ii + 1)))\n ALLOCATE (nzerow_to_master(sizes_numrowlocal(ii + 1)))\n\n SELECT CASE (csr_mat%nzval_local%data_type)\n CASE (dbcsr_type_real_4)\n data_format = \"(2(I8),E23.6E2)\"\n ALLOCATE (nzval_to_master_r_sp(sizes_nzelocal(ii + 1)))\n CASE (dbcsr_type_real_8)\n data_format = \"(2(I8),E23.14E3)\"\n ALLOCATE (nzval_to_master_r_dp(sizes_nzelocal(ii + 1)))\n CASE (dbcsr_type_complex_4)\n data_format = \"(2(I8),2(E23.6E2))\"\n ALLOCATE (nzval_to_master_c_sp(sizes_nzelocal(ii + 1)))\n CASE (dbcsr_type_complex_8)\n data_format = \"(2(I8),2(E23.14E3))\"\n ALLOCATE (nzval_to_master_c_dp(sizes_nzelocal(ii + 1)))\n END SELECT\n END IF\n\n IF (mynode .EQ. 0) THEN ! receive at node 0\n IF (ii .EQ. 0) THEN ! data from node 0, no need for mpi routines\n colind_to_master(:) = csr_mat%colind_local(:)\n nzerow_to_master(:) = csr_mat%nzerow_local(:)\n SELECT CASE (csr_mat%nzval_local%data_type)\n CASE (dbcsr_type_real_4)\n nzval_to_master_r_sp(:) = csr_mat%nzval_local%r_sp(:)\n CASE (dbcsr_type_real_8)\n nzval_to_master_r_dp(:) = csr_mat%nzval_local%r_dp(:)\n CASE (dbcsr_type_complex_4)\n nzval_to_master_c_sp(:) = csr_mat%nzval_local%c_sp(:)\n CASE (dbcsr_type_complex_8)\n nzval_to_master_c_dp(:) = csr_mat%nzval_local%c_dp(:)\n END SELECT\n ELSE ! receive data from nodes with rank > 0\n CALL mp_recv(colind_to_master, ii, tag1, csr_mat%mp_group)\n CALL mp_recv(nzerow_to_master, ii, tag2, csr_mat%mp_group)\n SELECT CASE (csr_mat%nzval_local%data_type)\n CASE (dbcsr_type_real_4)\n CALL mp_recv(nzval_to_master_r_sp, ii, tag3, csr_mat%mp_group)\n CASE (dbcsr_type_real_8)\n CALL mp_recv(nzval_to_master_r_dp, ii, tag3, csr_mat%mp_group)\n CASE (dbcsr_type_complex_4)\n CALL mp_recv(nzval_to_master_c_sp, ii, tag3, csr_mat%mp_group)\n CASE (dbcsr_type_complex_8)\n CALL mp_recv(nzval_to_master_c_dp, ii, tag3, csr_mat%mp_group)\n END SELECT\n END IF\n END IF\n\n IF ((mynode .EQ. ii) .AND. (ii .NE. 0)) THEN ! send from nodes with rank > 0\n CALL mp_send(csr_mat%colind_local, 0, tag1, csr_mat%mp_group)\n CALL mp_send(csr_mat%nzerow_local, 0, tag2, csr_mat%mp_group)\n SELECT CASE (csr_mat%nzval_local%data_type)\n CASE (dbcsr_type_real_4)\n CALL mp_send(csr_mat%nzval_local%r_sp, 0, tag3, csr_mat%mp_group)\n CASE (dbcsr_type_real_8)\n CALL mp_send(csr_mat%nzval_local%r_dp, 0, tag3, csr_mat%mp_group)\n CASE (dbcsr_type_complex_4)\n CALL mp_send(csr_mat%nzval_local%c_sp, 0, tag3, csr_mat%mp_group)\n CASE (dbcsr_type_complex_8)\n CALL mp_send(csr_mat%nzval_local%c_dp, 0, tag3, csr_mat%mp_group)\n END SELECT\n END IF\n\n IF (mynode .EQ. 0) THEN ! write data received at node 0\n !WRITE(unit_nr,\"(A27)\") \"#row ind, col ind, value\"\n m = 0\n DO k = 1, sizes_numrowlocal(ii + 1)\n rowind = k + SUM(sizes_numrowlocal(1:ii)) ! row index: local to global\n DO l = 1, nzerow_to_master(k)\n m = m + 1\n IF ((.NOT. ut) .OR. (rowind .LE. colind_to_master(m))) THEN\n SELECT CASE (csr_mat%nzval_local%data_type)\n CASE (dbcsr_type_real_4)\n IF (ABS(nzval_to_master_r_sp(m)) .GE. thld) THEN\n IF (bin) THEN\n WRITE (unit_nr) rowind, colind_to_master(m), nzval_to_master_r_sp(m)\n ELSE\n WRITE (unit_nr, data_format) rowind, colind_to_master(m), &\n nzval_to_master_r_sp(m)\n END IF\n END IF\n CASE (dbcsr_type_real_8)\n IF (ABS(nzval_to_master_r_dp(m)) .GE. thld) THEN\n IF (bin) THEN\n WRITE (unit_nr) rowind, colind_to_master(m), nzval_to_master_r_dp(m)\n ELSE\n WRITE (unit_nr, data_format) rowind, colind_to_master(m), &\n nzval_to_master_r_dp(m)\n END IF\n END IF\n CASE (dbcsr_type_complex_4)\n IF (ABS(nzval_to_master_c_sp(m)) .GE. thld) THEN\n IF (bin) THEN\n WRITE (unit_nr) rowind, colind_to_master(m), nzval_to_master_c_sp(m)\n ELSE\n WRITE (unit_nr, data_format) rowind, colind_to_master(m), &\n nzval_to_master_c_sp(m)\n END IF\n END IF\n CASE (dbcsr_type_complex_8)\n IF (ABS(nzval_to_master_c_dp(m)) .GE. thld) THEN\n IF (bin) THEN\n WRITE (unit_nr) rowind, colind_to_master(m), nzval_to_master_c_dp(m)\n ELSE\n WRITE (unit_nr, data_format) rowind, colind_to_master(m), &\n nzval_to_master_c_dp(m)\n END IF\n END IF\n END SELECT\n END IF\n END DO\n END DO\n\n DEALLOCATE (colind_to_master)\n DEALLOCATE (nzerow_to_master)\n\n SELECT CASE (csr_mat%nzval_local%data_type)\n CASE (dbcsr_type_real_4)\n DEALLOCATE (nzval_to_master_r_sp)\n CASE (dbcsr_type_real_8)\n DEALLOCATE (nzval_to_master_r_dp)\n CASE (dbcsr_type_complex_4)\n DEALLOCATE (nzval_to_master_c_sp)\n CASE (dbcsr_type_complex_8)\n DEALLOCATE (nzval_to_master_c_dp)\n END SELECT\n END IF\n END DO\n\n CALL timestop(handle)\n\n END SUBROUTINE csr_write\n\n SUBROUTINE csr_print_sparsity(csr_mat, unit_nr)\n !! Print CSR sparsity\n TYPE(csr_type), INTENT(IN) :: csr_mat\n INTEGER, INTENT(IN) :: unit_nr\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'csr_print_sparsity'\n\n INTEGER :: handle, mynode, numnodes\n INTEGER(KIND=int_8) :: dbcsr_nze_total\n REAL(KIND=real_8) :: dbcsr_nze_percentage, nze_percentage\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. csr_mat%valid) &\n DBCSR_ABORT(\"CSR matrix must be created first\")\n\n nze_percentage = 100.0_dp*(REAL(csr_mat%nze_total, KIND=real_8) &\n /REAL(csr_mat%nrows_total, KIND=real_8)) &\n /REAL(csr_mat%ncols_total, KIND=real_8)\n\n IF (csr_mat%has_mapping) THEN\n dbcsr_nze_total = dbcsr_get_nze(csr_mat%dbcsr_mapping%brd_mat)\n CALL mp_sum(dbcsr_nze_total, csr_mat%mp_group)\n dbcsr_nze_percentage = 100.0_dp*(REAL(dbcsr_nze_total, KIND=real_8) &\n /REAL(csr_mat%nrows_total, KIND=real_8)) &\n /REAL(csr_mat%ncols_total, KIND=real_8)\n END IF\n\n CALL mp_environ(numnodes, mynode, csr_mat%mp_group)\n\n IF (mynode .EQ. 0) THEN\n WRITE (unit_nr, \"(T15,A,T68,I13)\") \"Number of CSR non-zero elements:\", csr_mat%nze_total\n WRITE (unit_nr, \"(T15,A,T75,F6.2)\") \"Percentage CSR non-zero elements:\", nze_percentage\n !IF(csr_mat%has_mapping) THEN\n ! WRITE(unit_nr,\"(T15,A,T75,F6.2/)\") \"Percentage DBCSR non-zero elements:\", dbcsr_nze_percentage\n !ENDIF\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE csr_print_sparsity\n\n SUBROUTINE dbcsr_create_brd(dbcsr_mat, brd_mat, equal_dist, floor_dist, numnodes)\n !! Converts a DBCSR matrix to a block row distributed matrix.\n\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n !! DBCSR matrix to be converted\n TYPE(dbcsr_type), INTENT(OUT) :: brd_mat\n !! converted matrix\n LOGICAL, INTENT(IN) :: equal_dist, floor_dist\n !! see documentation of csr_create_from_dbcsr\n !! see documentation of csr_create_from_dbcsr\n INTEGER, INTENT(IN) :: numnodes\n !! number of nodes to use for block row distribution\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_create_brd'\n\n CHARACTER :: matrix_type\n CHARACTER(LEN=default_string_length) :: matrix_name\n INTEGER :: cs, data_type, end_ind, handle, i, k, l, m, mynode, nblkcols_total, &\n nblkrows_total, nfullrows_local, nfullrows_total, node_size, numnodes_total, row_index, &\n split_row, start_ind\n INTEGER, ALLOCATABLE, DIMENSION(:) :: rdist_tmp, row_blk_size_new_tmp\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: pgrid\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: cdist, col_blk_size, rdist, &\n row_blk_size, row_blk_size_new\n REAL(KIND=real_8) :: chunk_size\n TYPE(dbcsr_distribution_obj) :: dist_current, dist_new\n TYPE(dbcsr_mp_obj) :: mp_obj_current, mp_obj_new\n TYPE(mp_comm_type) :: mp_group\n\n CALL timeset(routineN, handle)\n\n NULLIFY (row_blk_size, rdist, row_blk_size_new)\n CALL dbcsr_get_info(dbcsr_mat, &\n nblkrows_total=nblkrows_total, &\n nblkcols_total=nblkcols_total, &\n nfullrows_total=nfullrows_total, &\n row_blk_size=row_blk_size, &\n col_blk_size=col_blk_size, &\n matrix_type=matrix_type, &\n data_type=data_type)\n\n matrix_name = dbcsr_name(dbcsr_mat)\n\n ALLOCATE (cdist(nblkcols_total))\n cdist = 0\n\n dist_current = dbcsr_distribution(dbcsr_mat)\n mp_obj_current = dbcsr_distribution_mp(dist_current)\n mp_group = dbcsr_mp_group(mp_obj_current)\n mynode = dbcsr_mp_mynode(mp_obj_current)\n numnodes_total = dbcsr_mp_numnodes(mp_obj_current)\n\n ALLOCATE (pgrid(numnodes_total, 1))\n\n IF (equal_dist) THEN ! Equally distribute rows over processors -> cut blocks\n\n ! Calculate the number of rows a processor can hold\n IF (floor_dist) THEN\n nfullrows_local = FLOOR(REAL(nfullrows_total, KIND=dp)/numnodes)\n ELSE\n nfullrows_local = CEILING(REAL(nfullrows_total, KIND=dp)/numnodes)\n END IF\n\n ! allocate maximum amount of memory possibly needed\n ALLOCATE (rdist_tmp(nblkrows_total + numnodes - 1)) ! row distribution\n ALLOCATE (row_blk_size_new_tmp(nblkrows_total + numnodes - 1)) ! new sizes of block rows\n\n k = 0 ! counter for block rows\n m = 0 ! node counter\n node_size = nfullrows_local ! space available on current node in number of rows\n IF (node_size .GT. 0) THEN\n DO l = 1, nblkrows_total\n split_row = row_blk_size(l) ! size of current block row (number of rows)\n DO WHILE (split_row .GE. node_size) ! cut block row and send it to two nodes\n k = k + 1\n m = m + 1\n row_blk_size_new_tmp(k) = node_size ! size of first part of block row\n rdist_tmp(k) = m - 1 ! send first part to node m\n split_row = split_row - node_size ! size of remaining part of block rows\n node_size = nfullrows_local ! space available on next node\n IF (floor_dist .AND. (m .EQ. numnodes - 1)) THEN ! send all remaining rows to last node\n node_size = nfullrows_total - (numnodes - 1)*node_size\n END IF\n END DO\n IF (split_row .GT. 0) THEN ! enough space left on next node for remaining rows\n k = k + 1\n row_blk_size_new_tmp(k) = split_row ! size of remaining part of block row\n rdist_tmp(k) = m ! send to next node\n node_size = node_size - split_row ! remaining space on next node\n END IF\n END DO\n ELSE ! send everything to last node if node_size = 0\n rdist_tmp(1:nblkrows_total) = numnodes - 1\n row_blk_size_new_tmp(1:nblkrows_total) = row_blk_size ! row blocks unchanged\n k = nblkrows_total\n END IF\n\n ! Copy data to correctly allocated variables\n ALLOCATE (row_blk_size_new(k))\n row_blk_size_new = row_blk_size_new_tmp(1:k)\n ALLOCATE (rdist(k))\n rdist = rdist_tmp(1:k)\n\n ELSE ! Leave block rows intact (do not cut)\n ALLOCATE (rdist(nblkrows_total))\n rdist = 0\n IF (numnodes .GT. nblkrows_total) THEN\n rdist = (/(i, i=0, nblkrows_total - 1)/)\n ELSE\n chunk_size = REAL(nblkrows_total, KIND=dp)/numnodes\n row_index = 0\n start_ind = 1\n DO i = 0, numnodes - 1\n cs = NINT(i*chunk_size) - NINT((i - 1)*chunk_size)\n end_ind = MIN(start_ind - 1 + cs, nblkrows_total)\n rdist(start_ind:end_ind) = row_index\n start_ind = end_ind + 1\n row_index = row_index + 1\n END DO\n END IF\n row_blk_size_new => row_blk_size\n END IF\n\n pgrid(:, :) = RESHAPE((/(i, i=0, numnodes_total - 1)/), (/numnodes_total, 1/))\n CALL dbcsr_mp_new(mp_obj_new, mp_group, pgrid, mynode, numnodes=numnodes_total)\n CALL dbcsr_distribution_new(dist_new, mp_obj_new, rdist, cdist, reuse_arrays=.TRUE.)\n\n CALL dbcsr_create(brd_mat, TRIM(matrix_name)//\" row-block distributed\", &\n dist_new, matrix_type, row_blk_size_new, col_blk_size, data_type=data_type)\n CALL dbcsr_complete_redistribute(dbcsr_mat, brd_mat)\n\n DEALLOCATE (pgrid)\n\n IF (equal_dist) DEALLOCATE (row_blk_size_new)\n\n CALL dbcsr_distribution_release(dist_new)\n CALL dbcsr_mp_release(mp_obj_new)\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_create_brd\n\nEND MODULE dbcsr_csr_conversions\n" }, { "path": "src/ops/dbcsr_io.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_io\n !! DBCSR input/output\n USE dbcsr_array_types, ONLY: array_data\n USE dbcsr_data_methods, ONLY: dbcsr_data_clear_pointer, &\n dbcsr_data_get_size_referenced, &\n dbcsr_data_init, &\n dbcsr_data_new, &\n dbcsr_get_data\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_mp\n USE dbcsr_kinds, ONLY: default_string_length, &\n dp, &\n real_4, &\n real_4_size, &\n real_8, &\n real_8_size, &\n sp\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_methods, ONLY: &\n dbcsr_data_area, dbcsr_distribution, dbcsr_get_data_size, dbcsr_get_data_type, &\n dbcsr_get_matrix_type, dbcsr_get_num_blocks, dbcsr_name, dbcsr_nblkcols_total, &\n dbcsr_nblkrows_total, dbcsr_valid_index\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_group, &\n dbcsr_mp_pgrid\n USE dbcsr_mp_operations, ONLY: dbcsr_mp_type_from_anytype\n USE dbcsr_mpiwrap, ONLY: &\n file_amode_create, file_amode_rdonly, file_amode_wronly, file_offset, mp_allgather, &\n mp_environ, mp_file_close, mp_file_get_size, mp_file_open, mp_file_read_at_all, &\n mp_file_write_at, mp_file_write_at_all, mp_sum, mp_type_descriptor_type, mp_type_size, &\n mpi_character_size, mpi_integer_size, mp_comm_type, mp_file_type\n USE dbcsr_transformations, ONLY: dbcsr_datablock_redistribute\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_distribution_obj, &\n dbcsr_mp_obj, &\n dbcsr_type, &\n dbcsr_type_complex_4, &\n dbcsr_type_complex_8, &\n dbcsr_type_real_4, &\n dbcsr_type_real_8\n USE dbcsr_work_operations, ONLY: dbcsr_create\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_io'\n\n ! Main\n PUBLIC :: dbcsr_print\n PUBLIC :: dbcsr_print_block_sum\n ! Low-level printing\n! PUBLIC :: dbcsr_printmat, dbcsr_print2dmat\n ! Utility printing\n PUBLIC :: dbcsr_binary_write\n PUBLIC :: dbcsr_binary_read\n\n LOGICAL, PARAMETER :: bcsr_debug = .TRUE.\n LOGICAL, PARAMETER :: bcsr_info = .FALSE.\n LOGICAL, PARAMETER :: bcsr_verbose = .FALSE.\n\n INTERFACE dbcsr_printmat\n MODULE PROCEDURE printmat_s, printmat_d, printmat_c, printmat_z\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE dbcsr_print(matrix, nodata, matlab_format, variable_name, unit_nr)\n !! Prints a BCSR matrix (block-style, not full)\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix\n LOGICAL, INTENT(IN), OPTIONAL :: nodata, matlab_format\n !! don't print actual data\n CHARACTER(LEN=*), INTENT(IN), OPTIONAL :: variable_name\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_print', routineP = moduleN//':'//routineN\n\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER :: c_sp\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER :: c_dp\n INTEGER :: ablk_p, bc, blk, blk_p, br, ebr, fblk, &\n handle, ibr, iunit, lblk, m, mn, n, &\n sblk\n INTEGER, DIMENSION(:), POINTER :: col_blk_offset, col_blk_size, &\n local_cols, local_rows, &\n row_blk_offset, row_blk_size\n LOGICAL :: my_matlab_format, tr, yesprint\n REAL(KIND=dp) :: blk_cs\n REAL(KIND=real_4), DIMENSION(:), POINTER :: r_sp\n REAL(KIND=real_8), DIMENSION(:), POINTER :: r_dp\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. dbcsr_valid_index(matrix)) &\n DBCSR_WARN(\"Can not print invalid matrix.\")\n\n iunit = default_output_unit\n IF (PRESENT(unit_nr)) iunit = unit_nr\n\n my_matlab_format = .FALSE.\n IF (PRESENT(matlab_format)) my_matlab_format = matlab_format\n yesprint = .TRUE.\n IF (PRESENT(nodata)) yesprint = .NOT. nodata\n WRITE (iunit, *) routineP//' Contents of matrix named ', matrix%name\n WRITE (iunit, *) routineP//' Flags ', matrix%symmetry, &\n matrix%negate_real, matrix%negate_imaginary, \"type\", &\n dbcsr_get_data_type(matrix), \"serial\", matrix%serial_number\n WRITE (iunit, '(1X,A,3(1X,I9,1X,A))') routineP, matrix%nblks, \"blocks\", &\n matrix%nze, \"nzes,\", dbcsr_get_data_size(matrix), \"data els\", &\n dbcsr_data_get_size_referenced(matrix%data_area), \"used\"\n WRITE (iunit, '(1X,A,I5,A,I5)') routineP//\" Full size\", &\n matrix%nfullrows_total, \"x\", matrix%nfullcols_total\n WRITE (iunit, '(1X,A,I5,A,I5)') routineP//\" Blocked size\", &\n matrix%nblkrows_total, \"x\", matrix%nblkcols_total\n SELECT CASE (matrix%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_get_data(matrix%data_area, r_dp)\n CASE (dbcsr_type_real_4)\n CALL dbcsr_get_data(matrix%data_area, r_sp)\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_get_data(matrix%data_area, c_dp)\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_get_data(matrix%data_area, c_sp)\n END SELECT\n row_blk_size => array_data(matrix%row_blk_size)\n col_blk_size => array_data(matrix%col_blk_size)\n row_blk_offset => array_data(matrix%row_blk_offset)\n col_blk_offset => array_data(matrix%col_blk_offset)\n\n IF (matrix%nblks .GT. 0) THEN\n IF (matrix%list_indexing) THEN\n IF (SIZE(matrix%coo_l) .NE. 3*matrix%nblks) &\n DBCSR_ABORT(\"Wrong list\")\n ebr = 1\n sblk = 3\n ELSE\n ebr = matrix%nblkrows_total\n sblk = 1\n END IF\n DO ibr = 1, ebr\n IF (matrix%list_indexing) THEN\n fblk = 1\n lblk = SIZE(matrix%coo_l)\n ELSE\n br = ibr\n fblk = matrix%row_p(br) + 1\n lblk = matrix%row_p(br + 1)\n m = row_blk_size(br)\n END IF\n DO blk = fblk, lblk, sblk\n IF (matrix%list_indexing) THEN\n br = matrix%coo_l(blk)\n bc = matrix%coo_l(blk + 1)\n IF (matrix%local_indexing) THEN\n local_rows => array_data(matrix%local_rows)\n local_cols => array_data(matrix%local_cols)\n br = local_rows(br)\n bc = local_cols(bc)\n END IF\n m = row_blk_size(br)\n ablk_p = matrix%coo_l(blk + 2)\n ELSE\n bc = matrix%col_i(blk)\n ablk_p = matrix%blk_p(blk)\n END IF\n n = col_blk_size(bc)\n mn = m*n\n blk_p = ABS(ablk_p)\n tr = ablk_p .LT. 0\n block_exists: IF (blk_p .NE. 0) THEN\n IF (mn .GT. 0) THEN\n SELECT CASE (matrix%data_type)\n CASE (dbcsr_type_real_8)\n blk_cs = REAL(DOT_PRODUCT(r_dp(blk_p:blk_p + mn - 1), &\n r_dp(blk_p:blk_p + mn - 1)), KIND=dp)\n !CALL &\n ! dbcsr_printmat(r_dp(blk_p:blk_p+mn-1),m,n, tr=tr)\n CASE (dbcsr_type_real_4)\n blk_cs = REAL(DOT_PRODUCT(r_sp(blk_p:blk_p + mn - 1), &\n r_sp(blk_p:blk_p + mn - 1)), KIND=dp)\n !CALL &\n ! dbcsr_printmat(r_sp(blk_p:blk_p+mn-1),m,n, tr=tr)\n CASE (dbcsr_type_complex_8)\n blk_cs = REAL(DOT_PRODUCT(c_dp(blk_p:blk_p + mn - 1), &\n c_dp(blk_p:blk_p + mn - 1)), KIND=dp)\n !CALL &\n ! dbcsr_printmat(c_dp(blk_p:blk_p+mn-1),m,n, tr=tr)\n CASE (dbcsr_type_complex_4)\n blk_cs = REAL(DOT_PRODUCT(c_sp(blk_p:blk_p + mn - 1), &\n c_sp(blk_p:blk_p + mn - 1)), KIND=dp)\n !CALL &\n ! dbcsr_printmat(c_sp(blk_p:blk_p+mn-1),m,n, tr=tr)\n END SELECT\n ELSE\n blk_cs = 0.0_dp\n END IF\n !WRITE(iunit,*)routineP//' chksum for (',br,',',bc,') at',&\n ! blk_p,'l',mn,'= ', blk_cs,'size',m,n\n IF (.NOT. my_matlab_format) WRITE (iunit, '(A,I6,\",\",I6,A,I7,A,I6,I6,\"=\",I7,A,E12.3)') &\n !\" Checksum for (\",br,bc,\") at \",blk_p,\" size \",m,n,mn,&\n \" Checksum for (\", br, bc, \") at \", ablk_p, \" size \", m, n, mn, &\n \" checksum=\", blk_cs\n IF (yesprint .AND. blk_p .NE. 0) THEN\n IF (mn .GT. 0) THEN\n SELECT CASE (matrix%data_type)\n CASE (dbcsr_type_real_8)\n !WRITE(iunit,'(10(1X,F7.2))')r_dp(blk_p:blk_p+mn-1)\n IF (my_matlab_format) THEN\n CALL dbcsr_printmat_matlab_d(r_dp(blk_p:blk_p + mn - 1), m, n, &\n row_blk_offset(br), col_blk_offset(bc), iunit, tr=tr, &\n variable_name=variable_name)\n ELSE\n CALL dbcsr_printmat(r_dp(blk_p:blk_p + mn - 1), m, n, iunit=iunit, tr=tr)\n END IF\n CASE (dbcsr_type_real_4)\n IF (my_matlab_format) THEN\n CALL dbcsr_printmat_matlab_s(r_sp(blk_p:blk_p + mn - 1), m, n, &\n row_blk_offset(br), col_blk_offset(bc), iunit, tr=tr, &\n variable_name=variable_name)\n ELSE\n CALL dbcsr_printmat(r_sp(blk_p:blk_p + mn - 1), m, n, iunit=iunit, tr=tr)\n END IF\n CASE (dbcsr_type_complex_8)\n IF (my_matlab_format) THEN\n CALL dbcsr_printmat_matlab_z(c_dp(blk_p:blk_p + mn - 1), m, n, &\n row_blk_offset(br), col_blk_offset(bc), iunit, tr=tr, &\n variable_name=variable_name)\n ELSE\n CALL dbcsr_printmat(c_dp(blk_p:blk_p + mn - 1), m, n, iunit=iunit, tr=tr)\n END IF\n CASE (dbcsr_type_complex_4)\n IF (my_matlab_format) THEN\n CALL dbcsr_printmat_matlab_c(c_sp(blk_p:blk_p + mn - 1), m, n, &\n row_blk_offset(br), col_blk_offset(bc), iunit, tr=tr, &\n variable_name=variable_name)\n ELSE\n CALL dbcsr_printmat(c_sp(blk_p:blk_p + mn - 1), m, n, iunit=iunit, tr=tr)\n END IF\n END SELECT\n END IF\n END IF\n END IF block_exists\n END DO\n END DO\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_print\n\n SUBROUTINE dbcsr_printmat_matlab_d(matrix, rows, cols, r_offset, c_offset, iunit, tr, variable_name)\n !! Prints the elements of a matrix.\n\n REAL(KIND=real_8), DIMENSION(:), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: rows, cols, r_offset, c_offset, iunit\n !! the logical (possibly detransposed) matrix size, not the stored size\n !! the logical (possibly detransposed) matrix size, not the stored size\n LOGICAL, INTENT(IN), OPTIONAL :: tr\n !! specifies whether the elements are stored transposed\n CHARACTER(len=*), INTENT(in), OPTIONAL :: variable_name\n\n INTEGER :: c, c_off, m, n, r, r_off\n LOGICAL :: t\n\n! ---------------------------------------------------------------------------\n\n m = rows\n n = cols\n r_off = r_offset\n c_off = c_offset\n t = .FALSE.\n IF (PRESENT(tr)) THEN\n IF (tr) THEN\n t = .TRUE.\n m = cols\n n = rows\n r_off = c_offset\n c_off = r_offset\n END IF\n END IF\n\n DO c = 1, cols\n DO r = 1, rows\n IF (.NOT. t) THEN\n IF (PRESENT(variable_name)) THEN\n WRITE (iunit, '(A,I4,A,I4,A,E23.16,A)') &\n variable_name//'(', r + r_offset - 1, ',', c + c_offset - 1, ')=', matrix(r + (c - 1)*rows), ';'\n ELSE\n WRITE (iunit, '(A,I4,A,I4,A,E23.16,A)') 'a(', r + r_offset - 1, ',', &\n c + c_offset - 1, ')=', matrix(r + (c - 1)*rows), ';'\n END IF\n ELSE\n IF (PRESENT(variable_name)) THEN\n WRITE (iunit, '(A,I4,A,I4,A,E23.16,A)') &\n variable_name//'(', r + r_offset - 1, ',', c + c_offset - 1, ')=', matrix((r - 1)*cols + c), ';'\n ELSE\n WRITE (iunit, '(A,I4,A,I4,A,E23.16,A)') 'a(', r + r_offset - 1, ',', &\n c + c_offset - 1, ')=', matrix((r - 1)*cols + c), ';'\n END IF\n END IF\n END DO\n END DO\n END SUBROUTINE dbcsr_printmat_matlab_d\n\n SUBROUTINE dbcsr_printmat_matlab_s(matrix, rows, cols, r_offset, c_offset, iunit, tr, variable_name)\n REAL(KIND=real_4), DIMENSION(:), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: rows, cols, r_offset, c_offset, iunit\n LOGICAL, INTENT(IN), OPTIONAL :: tr\n CHARACTER(len=*), INTENT(in), OPTIONAL :: variable_name\n\n INTEGER :: c, c_off, m, n, r, r_off\n LOGICAL :: t\n\n! ---------------------------------------------------------------------------\n\n m = rows\n n = cols\n r_off = r_offset\n c_off = c_offset\n t = .FALSE.\n IF (PRESENT(tr)) THEN\n IF (tr) THEN\n t = .TRUE.\n m = cols\n n = rows\n r_off = c_offset\n c_off = r_offset\n END IF\n END IF\n\n DO c = 1, cols\n DO r = 1, rows\n IF (.NOT. t) THEN\n IF (PRESENT(variable_name)) THEN\n WRITE (iunit, '(A,I4,A,I4,A,E15.7,A)') &\n variable_name//'(', r + r_offset - 1, ',', c + c_offset - 1, ')=', matrix(r + (c - 1)*rows), ';'\n ELSE\n WRITE (iunit, '(A,I4,A,I4,A,E15.7,A)') 'a(', r + r_offset - 1, ',', &\n c + c_offset - 1, ')=', matrix(r + (c - 1)*rows), ';'\n END IF\n ELSE\n IF (PRESENT(variable_name)) THEN\n WRITE (iunit, '(A,I4,A,I4,A,E15.7,A)') &\n variable_name//'(', r + r_offset - 1, ',', c + c_offset - 1, ')=', matrix((r - 1)*cols + c), ';'\n ELSE\n WRITE (iunit, '(A,I4,A,I4,A,E15.7,A)') 'a(', r + r_offset - 1, ',', &\n c + c_offset - 1, ')=', matrix((r - 1)*cols + c), ';'\n END IF\n END IF\n END DO\n END DO\n END SUBROUTINE dbcsr_printmat_matlab_s\n\n SUBROUTINE dbcsr_printmat_matlab_z(matrix, rows, cols, r_offset, c_offset, iunit, tr, variable_name)\n COMPLEX(KIND=real_8), DIMENSION(:), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: rows, cols, r_offset, c_offset, iunit\n LOGICAL, INTENT(IN), OPTIONAL :: tr\n CHARACTER(len=*), INTENT(in), OPTIONAL :: variable_name\n\n INTEGER :: c, c_off, m, n, r, r_off\n LOGICAL :: t\n\n! ---------------------------------------------------------------------------\n\n m = rows\n n = cols\n r_off = r_offset\n c_off = c_offset\n t = .FALSE.\n IF (PRESENT(tr)) THEN\n IF (tr) THEN\n t = .TRUE.\n m = cols\n n = rows\n r_off = c_offset\n c_off = r_offset\n END IF\n END IF\n\n DO c = 1, cols\n DO r = 1, rows\n IF (.NOT. t) THEN\n IF (PRESENT(variable_name)) THEN\n WRITE (iunit, '(A,I3,A,I3,A,E23.16,A,E23.16,A)') variable_name//'(', r + r_offset - 1, ',', &\n c + c_offset - 1, ')=', &\n REAL(matrix(r + (c - 1)*rows)), '+', AIMAG(matrix(r + (c - 1)*rows)), 'i;'\n ELSE\n WRITE (iunit, '(A,I3,A,I3,A,E23.16,A,E23.16,A)') 'a(', r + r_offset - 1, ',', c + c_offset - 1, ')=', &\n REAL(matrix(r + (c - 1)*rows)), '+', AIMAG(matrix(r + (c - 1)*rows)), 'i;'\n END IF\n ELSE\n IF (PRESENT(variable_name)) THEN\n WRITE (iunit, '(A,I3,A,I3,A,E23.16,A,E23.16,A)') variable_name//'(', r + r_offset - 1, ',', &\n c + c_offset - 1, ')=', &\n REAL(matrix((r - 1)*cols + c)), '+', AIMAG(matrix((r - 1)*cols + c)), 'i;'\n ELSE\n WRITE (iunit, '(A,I3,A,I3,A,E23.16,A,E23.16,A)') 'a(', r + r_offset - 1, ',', c + c_offset - 1, ')=', &\n REAL(matrix((r - 1)*cols + c)), '+', AIMAG(matrix((r - 1)*cols + c)), 'i;'\n END IF\n END IF\n END DO\n END DO\n END SUBROUTINE dbcsr_printmat_matlab_z\n\n SUBROUTINE dbcsr_printmat_matlab_c(matrix, rows, cols, r_offset, c_offset, iunit, tr, variable_name)\n COMPLEX(KIND=real_4), DIMENSION(:), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: rows, cols, r_offset, c_offset, iunit\n LOGICAL, INTENT(IN), OPTIONAL :: tr\n CHARACTER(len=*), INTENT(in), OPTIONAL :: variable_name\n\n INTEGER :: c, c_off, m, n, r, r_off\n LOGICAL :: t\n\n! ---------------------------------------------------------------------------\n\n m = rows\n n = cols\n r_off = r_offset\n c_off = c_offset\n t = .FALSE.\n IF (PRESENT(tr)) THEN\n IF (tr) THEN\n t = .TRUE.\n m = cols\n n = rows\n r_off = c_offset\n c_off = r_offset\n END IF\n END IF\n\n DO c = 1, cols\n DO r = 1, rows\n IF (.NOT. t) THEN\n IF (PRESENT(variable_name)) THEN\n WRITE (iunit, '(A,I3,A,I3,A,E15.7,A,E15.7,A)') variable_name//'(', r + r_offset - 1, ',', &\n c + c_offset - 1, ')=', &\n REAL(matrix(r + (c - 1)*rows)), '+', AIMAG(matrix(r + (c - 1)*rows)), 'i;'\n ELSE\n WRITE (iunit, '(A,I3,A,I3,A,E15.7,A,E15.7,A)') 'a(', r + r_offset - 1, ',', c + c_offset - 1, ')=', &\n REAL(matrix(r + (c - 1)*rows)), '+', AIMAG(matrix(r + (c - 1)*rows)), 'i;'\n END IF\n ELSE\n IF (PRESENT(variable_name)) THEN\n WRITE (iunit, '(A,I3,A,I3,A,E15.7,A,E15.7,A)') variable_name//'(', r + r_offset - 1, ',', &\n c + c_offset - 1, ')=', &\n REAL(matrix((r - 1)*cols + c)), '+', AIMAG(matrix((r - 1)*cols + c)), 'i;'\n ELSE\n WRITE (iunit, '(A,I3,A,I3,A,E15.7,A,E15.7,A)') 'a(', r + r_offset - 1, ',', c + c_offset - 1, ')=', &\n REAL(matrix((r - 1)*cols + c)), '+', AIMAG(matrix((r - 1)*cols + c)), 'i;'\n END IF\n END IF\n END DO\n END DO\n END SUBROUTINE dbcsr_printmat_matlab_c\n\n SUBROUTINE printmat_s(matrix, rows, cols, iunit, title, tr)\n !! Prints the elements of a matrix.\n\n REAL(KIND=real_4), DIMENSION(:), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: rows, cols, iunit\n !! the logical (possibly detransposed) matrix size, not the stored size\n !! the logical (possibly detransposed) matrix size, not the stored size\n CHARACTER(*), INTENT(IN), OPTIONAL :: title\n LOGICAL, INTENT(IN), OPTIONAL :: tr\n !! specifies whether the elements are stored transposed\n\n CHARACTER(30) :: f\n INTEGER :: m, n, r\n LOGICAL :: t\n REAL(KIND=dp) :: bit_bucket\n\n! ---------------------------------------------------------------------------\n\n m = rows\n n = cols\n t = .FALSE.\n IF (PRESENT(title)) WRITE (iunit, *) title\n IF (PRESENT(tr)) THEN\n IF (tr) THEN\n t = .TRUE.\n m = cols\n n = rows\n END IF\n END IF\n DO r = LBOUND(matrix, 1), UBOUND(matrix, 1)\n bit_bucket = matrix(r)\n END DO\n bit_bucket = 0.0_dp\n DO r = LBOUND(matrix, 1), UBOUND(matrix, 1)\n bit_bucket = bit_bucket + matrix(r)\n END DO\n IF (m .GT. 10000) m = 0\n IF (n .GT. 10000) n = 0\n IF (m*n .LT. 1 .OR. m*n .GT. SIZE(matrix)) RETURN\n WRITE (f, FMT=\"('(',I4,'(F9.4))')\") cols\n DO r = 1, rows\n IF (.NOT. t) THEN\n WRITE (iunit, FMT=f) matrix(r:r + (cols - 1)*rows:rows)\n ELSE\n WRITE (iunit, FMT=f) matrix((r - 1)*cols + 1:r*cols)\n END IF\n END DO\n END SUBROUTINE printmat_s\n\n SUBROUTINE printmat_d(matrix, rows, cols, iunit, title, tr)\n REAL(KIND=real_8), DIMENSION(:), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: rows, cols, iunit\n CHARACTER(*), INTENT(IN), OPTIONAL :: title\n LOGICAL, INTENT(IN), OPTIONAL :: tr\n\n IF (PRESENT(title)) THEN\n IF (PRESENT(tr)) THEN\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, title, tr)\n ELSE\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, title)\n END IF\n ELSE\n IF (PRESENT(tr)) THEN\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, tr=tr)\n ELSE\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit)\n END IF\n END IF\n END SUBROUTINE printmat_d\n\n SUBROUTINE printmat_c(matrix, rows, cols, iunit, title, tr)\n COMPLEX(KIND=real_4), DIMENSION(:), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: rows, cols, iunit\n CHARACTER(*), INTENT(IN), OPTIONAL :: title\n LOGICAL, INTENT(IN), OPTIONAL :: tr\n\n IF (PRESENT(title)) THEN\n IF (PRESENT(tr)) THEN\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, title, tr)\n ELSE\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, title)\n END IF\n ELSE\n IF (PRESENT(tr)) THEN\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, tr=tr)\n ELSE\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit)\n END IF\n END IF\n END SUBROUTINE printmat_c\n\n SUBROUTINE printmat_z(matrix, rows, cols, iunit, title, tr)\n COMPLEX(KIND=real_8), DIMENSION(:), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: rows, cols, iunit\n CHARACTER(*), INTENT(IN), OPTIONAL :: title\n LOGICAL, INTENT(IN), OPTIONAL :: tr\n\n IF (PRESENT(title)) THEN\n IF (PRESENT(tr)) THEN\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, title, tr)\n ELSE\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, title)\n END IF\n ELSE\n IF (PRESENT(tr)) THEN\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit, tr=tr)\n ELSE\n CALL printmat_s(REAL(matrix, KIND=sp), rows, cols, iunit)\n END IF\n END IF\n END SUBROUTINE printmat_z\n\n SUBROUTINE dbcsr_binary_write(matrix, filepath)\n !! Writes a DBCSR matrix in a file\n !! file's header consists of 3 sub-headers:\n !! sub-header1 contains:\n !! 1 string: (of length version_len) the current version of this routine,\n !! 1 string: (of length default_string_length) matrix_name,\n !! 1 character: matrix_type,\n !! 4 integers: numnodes, data_type, nblkrows_total, nblkcols_total,\n !! 2 vectors: row_blk_size (length = nblkrows_total),\n !! col_blk_size (length = nblkcols_total),\n !! sub-header2 contains:\n !! 2 integers: nblks, data_area_size,\n !! sub-header3 contains:\n !! 3 vectors: row_p (length = nblkrows_total+1),\n !! col_i (length = nblks),\n !! blk_p (length = nblks);\n !! and the file's body contains the block data\n\n IMPLICIT NONE\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! DBCSR matrix\n CHARACTER(len=*), INTENT(IN) :: filepath\n !! path to the file\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_binary_write'\n\n INTEGER :: nblkrows_total, nblkcols_total, &\n nblks, size_of_pgrid, &\n i, sendbuf, data_area_size, &\n data_type, type_size, &\n mynode, numnodes, &\n ginfo_size, linfo_size, handle\n INTEGER, DIMENSION(:), POINTER :: row_p, col_i, blk_p, &\n row_blk_size, col_blk_size\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n TYPE(mp_type_descriptor_type) :: mp_type\n TYPE(dbcsr_mp_obj) :: mp_env\n TYPE(dbcsr_distribution_obj) :: distribution\n TYPE(dbcsr_data_obj) :: data_area\n COMPLEX(sp), DIMENSION(:), POINTER :: c_sp\n COMPLEX(dp), DIMENSION(:), POINTER :: c_dp\n REAL(sp), DIMENSION(:), POINTER :: r_sp\n REAL(dp), DIMENSION(:), POINTER :: r_dp\n CHARACTER :: matrix_type\n CHARACTER(LEN=80) :: matrix_name_v_1_0\n CHARACTER(LEN=default_string_length) :: matrix_name\n TYPE(mp_comm_type) :: mp_group\n TYPE(mp_file_type) :: thefile\n INTEGER, PARAMETER :: version_len = 10\n CHARACTER(LEN=version_len), PARAMETER :: version = \"DBCSRv_1.0\"\n INTEGER, ALLOCATABLE, DIMENSION(:) :: linfo_sizes, da_sizes\n INTEGER(kind=file_offset), ALLOCATABLE, DIMENSION(:) :: bdata_disps, bdata_offsets, &\n subh2_disps, subh2_offsets, &\n subh3_disps, subh3_offsets\n INTEGER(kind=file_offset), PARAMETER :: BOF = 0\n INTEGER, PARAMETER :: char_count = version_len + default_string_length + 1 !version, matrix_name, matrix_type\n\n CALL timeset(routineN, handle)\n\n IF (default_string_length /= 80) &\n CALL dbcsr_warn(__LOCATION__, \"Changing the default string length affects \"// &\n \"the format of the written matrix. Version needs to be adjusted\")\n\n nblkrows_total = dbcsr_nblkrows_total(matrix)\n nblkcols_total = dbcsr_nblkcols_total(matrix)\n distribution = dbcsr_distribution(matrix)\n matrix_name = dbcsr_name(matrix)\n data_area = dbcsr_data_area(matrix)\n matrix_type = dbcsr_get_matrix_type(matrix)\n data_type = dbcsr_get_data_type(matrix)\n mp_env = dbcsr_distribution_mp(distribution)\n mp_group = dbcsr_mp_group(mp_env)\n nblks = dbcsr_get_num_blocks(matrix)\n row_p => matrix%row_p\n col_i => matrix%col_i\n blk_p => matrix%blk_p\n row_blk_size => array_data(matrix%row_blk_size)\n col_blk_size => array_data(matrix%col_blk_size)\n pgrid => dbcsr_mp_pgrid(mp_env)\n size_of_pgrid = SIZE(pgrid)\n\n CALL mp_environ(numnodes, mynode, mp_group)\n\n ALLOCATE (linfo_sizes(numnodes), da_sizes(numnodes), &\n subh2_disps(numnodes), subh2_offsets(numnodes), &\n subh3_disps(numnodes), subh3_offsets(numnodes), &\n bdata_disps(numnodes), bdata_offsets(numnodes))\n subh2_disps(:) = (/((i - 1)*2, i=1, numnodes)/)\n subh3_disps = BOF\n bdata_disps = BOF\n linfo_sizes = BOF\n subh2_offsets = BOF\n subh3_offsets = BOF\n bdata_offsets = BOF\n da_sizes = BOF\n\n ginfo_size = char_count + 4 + nblkrows_total + nblkcols_total\n linfo_size = 1 + nblkrows_total + 2*nblks\n\n sendbuf = linfo_size\n CALL mp_allgather(sendbuf, linfo_sizes, mp_group)\n CALL cumsum_l(INT(linfo_sizes, kind=file_offset), subh3_disps)\n subh3_disps(:) = CSHIFT(subh3_disps, shift=-1) + ginfo_size + 2*numnodes\n subh3_disps(1) = ginfo_size + 2*numnodes\n\n data_area_size = dbcsr_data_get_size_referenced(matrix%data_area)\n sendbuf = data_area_size\n CALL mp_allgather(sendbuf, da_sizes, mp_group)\n CALL cumsum_l(INT(da_sizes, kind=file_offset), bdata_disps)\n bdata_disps(:) = CSHIFT(bdata_disps, shift=-1) + SUM(INT(linfo_sizes, KIND=file_offset)) + &\n ginfo_size + numnodes*2\n bdata_disps(1) = SUM(INT(linfo_sizes, KIND=file_offset)) + ginfo_size + numnodes*2\n\n CALL mp_file_open(mp_group, thefile, filepath, file_amode_create + file_amode_wronly)\n\n IF (mynode .EQ. 0) THEN\n CALL mp_file_write_at(thefile, BOF, version)\n matrix_name_v_1_0 = matrix_name\n CALL mp_file_write_at(thefile, BOF + version_len*mpi_character_size, matrix_name_v_1_0)\n CALL mp_file_write_at(thefile, BOF + (version_len + default_string_length)*mpi_character_size, matrix_type)\n CALL mp_file_write_at(thefile, BOF + char_count*mpi_character_size, &\n (/size_of_pgrid, data_type, &\n nblkrows_total, nblkcols_total, &\n row_blk_size, col_blk_size/))\n END IF\n! write sub-header2\n subh2_disps(:) = subh2_disps(:) + ginfo_size\n subh2_offsets(:) = BOF + (subh2_disps - char_count)*mpi_integer_size + &\n char_count*mpi_character_size\n CALL mp_file_write_at_all(thefile, subh2_offsets(mynode + 1), (/nblks, data_area_size/))\n! write sub-header3\n subh3_offsets(:) = BOF + (subh3_disps - char_count)*mpi_integer_size + &\n char_count*mpi_character_size\n CALL mp_file_write_at_all(thefile, subh3_offsets(mynode + 1), (/row_p, col_i, blk_p/))\n! write block data\n mp_type = dbcsr_mp_type_from_anytype(data_area)\n CALL mp_type_size(mp_type, type_size)\n bdata_offsets(:) = BOF + (/((bdata_disps(i) - bdata_disps(1))*type_size, i=1, numnodes)/) + &\n (bdata_disps(1) - char_count)*mpi_integer_size + &\n char_count*mpi_character_size\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n r_sp => data_area%d%r_sp\n CALL mp_file_write_at_all(thefile, bdata_offsets(mynode + 1), r_sp, msglen=data_area_size)\n CASE (dbcsr_type_real_8)\n r_dp => data_area%d%r_dp\n CALL mp_file_write_at_all(thefile, bdata_offsets(mynode + 1), r_dp, msglen=data_area_size)\n CASE (dbcsr_type_complex_4)\n c_sp => data_area%d%c_sp\n CALL mp_file_write_at_all(thefile, bdata_offsets(mynode + 1), c_sp, msglen=data_area_size)\n CASE (dbcsr_type_complex_8)\n c_dp => data_area%d%c_dp\n CALL mp_file_write_at_all(thefile, bdata_offsets(mynode + 1), c_dp, msglen=data_area_size)\n END SELECT\n CALL mp_file_close(thefile)\n\n DEALLOCATE (linfo_sizes, da_sizes)\n DEALLOCATE (subh2_disps, subh2_offsets, subh3_disps, subh3_offsets)\n DEALLOCATE (bdata_disps, bdata_offsets)\n\n CALL timestop(handle)\n\n CONTAINS\n SUBROUTINE cumsum_l(arr, cumsum)\n INTEGER(kind=file_offset), DIMENSION(:), &\n INTENT(IN) :: arr\n INTEGER(kind=file_offset), DIMENSION(SIZE(arr)), &\n INTENT(OUT) :: cumsum\n\n INTEGER :: i\n\n cumsum(1) = arr(1)\n DO i = 2, SIZE(arr)\n cumsum(i) = cumsum(i - 1) + arr(i)\n END DO\n END SUBROUTINE cumsum_l\n END SUBROUTINE dbcsr_binary_write\n\n SUBROUTINE dbcsr_binary_read(filepath, distribution, matrix_new)\n !! Reads a DBCSR matrix from a file\n\n IMPLICIT NONE\n\n CHARACTER(len=*), INTENT(IN) :: filepath\n !! path to the file\n TYPE(dbcsr_distribution_obj), INTENT(IN) :: distribution\n !! row and column distribution\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_new\n !! DBCSR matrix\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_binary_read'\n\n INTEGER :: nblkrows_total, nblkcols_total, &\n nblks, darea_size, data_type, type_size, &\n globalinfo_size, &\n size_of_pgrid, &\n i, j, &\n nblocks, &\n share_size, order, cur_blks, &\n job_count, start_index, end_index, &\n localinfo_length, blockdata_length, &\n worker_id, group_list_size, handle, linfo_length\n CHARACTER :: matrix_type\n CHARACTER(LEN=default_string_length) :: matrix_name\n INTEGER, PARAMETER :: version_len = 10\n CHARACTER(LEN=version_len) :: version\n CHARACTER(LEN=80) :: matrix_name_v_1_0\n CHARACTER(LEN=version_len), PARAMETER :: version_v_1_0 = \"DBCSRv_1.0\"\n TYPE(mp_comm_type) :: group_id\n TYPE(mp_file_type) :: thefile\n\n INTEGER, DIMENSION(:), POINTER :: row_p, col_i, blk_p, &\n proc_nblks, proc_darea_sizes\n INTEGER, DIMENSION(4) :: values\n INTEGER, ALLOCATABLE, DIMENSION(:) :: linfo_lens, bdata_lens\n INTEGER, ALLOCATABLE, DIMENSION(:), TARGET :: ginfo_vec, linfo_vec, &\n rowp, coli, blkp\n INTEGER, ALLOCATABLE, DIMENSION(:, :), TARGET :: val_data\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: row_blk_size, col_blk_size\n TYPE(dbcsr_mp_obj) :: mp_env\n TYPE(dbcsr_data_obj) :: dblk\n REAL(sp) :: rsp_dummy(1)\n REAL(dp) :: rdp_dummy(1)\n COMPLEX(sp) :: csp_dummy(1)\n COMPLEX(dp) :: cdp_dummy(1)\n REAL(sp), ALLOCATABLE, DIMENSION(:), TARGET :: rsp\n REAL(dp), ALLOCATABLE, DIMENSION(:), TARGET :: rdp\n COMPLEX(sp), ALLOCATABLE, DIMENSION(:), TARGET :: csp\n COMPLEX(dp), ALLOCATABLE, DIMENSION(:), TARGET :: cdp\n INTEGER(kind=file_offset), ALLOCATABLE, DIMENSION(:) :: subh2_offsets, &\n subh3_disps, subh3_offsets, &\n bdata_disps, bdata_offsets\n INTEGER(kind=file_offset), PARAMETER :: BOF = 0\n INTEGER(kind=file_offset) :: offset, subh2_start, subh3_start, bdata_start, file_size, &\n localinfo_offset, blockdata_offset, sum_nblks, subh3_length, data_area_size\n INTEGER, PARAMETER :: char_count = 1 + version_len + default_string_length\n\n CALL timeset(routineN, handle)\n\n mp_env = dbcsr_distribution_mp(distribution)\n group_id = dbcsr_mp_group(mp_env)\n\n CALL mp_environ(group_list_size, worker_id, group_id)\n CALL mp_file_open(group_id, thefile, filepath, file_amode_rdonly)\n\n! read version, matrix name and matrix type\n CALL mp_file_read_at_all(thefile, BOF, version)\n\n IF (version /= version_v_1_0) &\n DBCSR_WARN(\"Trying to read an unknown version of the matrix data file. Good luck!\")\n\n CALL mp_file_read_at_all(thefile, BOF + version_len*mpi_character_size, matrix_name_v_1_0)\n matrix_name = matrix_name_v_1_0\n\n CALL mp_file_read_at_all(thefile, BOF + (version_len + default_string_length)*mpi_character_size, matrix_type)\n! read 4 integer values form sub-header1\n CALL mp_file_read_at_all(thefile, BOF + char_count*mpi_character_size, values)\n size_of_pgrid = values(1)\n data_type = values(2)\n nblkrows_total = values(3)\n nblkcols_total = values(4)\n! read 2 vectors, row_blk_size and col_blk_size, from sub-header1\n globalinfo_size = nblkrows_total + nblkcols_total\n ALLOCATE (ginfo_vec(globalinfo_size))\n CALL mp_file_read_at_all(thefile, BOF + char_count*mpi_character_size + 4*mpi_integer_size, ginfo_vec)\n row_blk_size => ginfo_vec(1:nblkrows_total)\n col_blk_size => ginfo_vec(nblkrows_total + 1:globalinfo_size)\n\n! compute the offsets where sub-header2 and sub-header3 start\n subh2_start = (4 + globalinfo_size)*mpi_integer_size + char_count*mpi_character_size\n subh3_start = subh2_start + 2*size_of_pgrid*mpi_integer_size\n\n! compute the offsets in sub-header2 and read 2 integers nblocks, data_area_size\n ! number of data chunks from sub-header 2 and 3 to be read by every node rounded up\n ! to the next integer to make it even for all the nodes in the specified mpi group\n share_size = CEILING(REAL(size_of_pgrid, KIND=dp)/group_list_size)\n\n ALLOCATE (subh2_offsets(share_size))\n subh2_offsets = BOF\n DO i = 1, share_size\n offset = subh2_start + mpi_integer_size*2*(worker_id + (i - 1)*group_list_size)\n IF (offset .GE. subh3_start) EXIT\n subh2_offsets(i) = offset\n END DO\n\n ALLOCATE (val_data(3, share_size))\n val_data(:, :) = 0\n DO i = 1, share_size\n CALL mp_file_read_at_all(thefile, subh2_offsets(i), values, msglen=2)\n nblocks = values(1)\n data_area_size = values(2)\n IF (subh2_offsets(i) .EQ. 0) EXIT\n val_data(1, i) = nblocks\n IF (data_area_size >= HUGE(val_data(2, i))) &\n DBCSR_ABORT(\"Data area too large, fix code.\")\n val_data(2, i) = INT(data_area_size)\n val_data(3, i) = worker_id + (i - 1)*group_list_size + 1 ! order\n ! order = indices of an array of length size_of_pgrid to be accessed by the current node\n END DO\n nblks = SUM(val_data(1, :))\n darea_size = SUM(val_data(2, :))\n proc_nblks => val_data(1, :) ! to be passed to dbcsr_datablock_redistribute\n proc_darea_sizes => val_data(2, :) ! to be passed to dbcsr_datablock_redistribute\n\n! compute the offsets in sub-header3 and read 3 vectors row_p, col_i, blk_p\n ! actual number of chunks to be read by the current node\n job_count = COUNT(val_data(3, :) .NE. 0)\n CALL mp_file_get_size(thefile, file_size)\n\n ALLOCATE (linfo_lens(size_of_pgrid))\n ALLOCATE (subh3_disps(size_of_pgrid))\n ALLOCATE (subh3_offsets(size_of_pgrid))\n linfo_lens = 0; subh3_disps = 0\n DO i = 1, size_of_pgrid\n DO j = 1, share_size\n order = val_data(3, j)\n IF (i .EQ. order) linfo_lens(order) = &\n 1 + nblkrows_total + 2*val_data(1, j)\n END DO\n END DO\n CALL mp_sum(linfo_lens, group_id)\n CALL cumsum_l(INT(linfo_lens, kind=file_offset), subh3_disps)\n subh3_disps(:) = CSHIFT(subh3_disps, shift=-1)\n subh3_disps(1) = BOF\n subh3_offsets(:) = subh3_start + subh3_disps*mpi_integer_size\n\n sum_nblks = INT(nblks, kind=file_offset)\n CALL mp_sum(sum_nblks, group_id)\n subh3_length = size_of_pgrid*INT(1 + nblkrows_total, KIND=file_offset) + 2*sum_nblks\n\n linfo_length = nblkrows_total + 1 + 2*MAXVAL(val_data(1, :))\n\n ALLOCATE (linfo_vec(linfo_length))\n ALLOCATE (rowp((nblkrows_total + 1)*job_count))\n ALLOCATE (coli(nblks))\n ALLOCATE (blkp(nblks))\n DO i = 1, share_size\n order = val_data(3, i)\n cur_blks = val_data(1, i)\n IF (order .EQ. 0) THEN\n localinfo_offset = file_size\n localinfo_length = 0\n ELSE\n localinfo_offset = subh3_offsets(order)\n localinfo_length = linfo_lens(order)\n END IF\n CALL mp_file_read_at_all(thefile, localinfo_offset, linfo_vec, msglen=localinfo_length)\n IF (localinfo_length .EQ. 0) EXIT\n\n rowp((i - 1)*(nblkrows_total + 1) + 1:i*(nblkrows_total + 1)) = linfo_vec(1:nblkrows_total + 1)\n start_index = SUM(val_data(1, 1:i - 1)) + 1\n end_index = SUM(val_data(1, 1:i))\n coli(start_index:end_index) = &\n linfo_vec(nblkrows_total + 2:cur_blks + nblkrows_total + 1)\n blkp(start_index:end_index) = &\n linfo_vec(cur_blks + nblkrows_total + 2:2*cur_blks + nblkrows_total + 1)\n END DO\n row_p => rowp\n col_i => coli\n blk_p => blkp\n\n! compute the offsets and read block data\n ALLOCATE (bdata_lens(size_of_pgrid))\n ALLOCATE (bdata_disps(size_of_pgrid))\n ALLOCATE (bdata_offsets(size_of_pgrid))\n bdata_lens = 0\n DO i = 1, size_of_pgrid\n DO j = 1, share_size\n order = val_data(3, j)\n IF (i .EQ. order) bdata_lens(order) = val_data(2, j)\n END DO\n END DO\n CALL mp_sum(bdata_lens, group_id)\n CALL cumsum_l(INT(bdata_lens, kind=file_offset), bdata_disps)\n bdata_disps(:) = CSHIFT(bdata_disps, shift=-1)\n bdata_disps(1) = BOF\n\n bdata_start = subh3_start + subh3_length*mpi_integer_size\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n type_size = real_4_size\n CASE (dbcsr_type_real_8)\n type_size = real_8_size\n CASE (dbcsr_type_complex_4)\n type_size = 2*real_4_size\n CASE (dbcsr_type_complex_8)\n type_size = 2*real_8_size\n END SELECT\n bdata_offsets(:) = bdata_start + bdata_disps*type_size\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n ALLOCATE (rsp(darea_size))\n DO i = 1, share_size\n order = val_data(3, i)\n ! use dummy one-sized data array as buffer in place of empty array\n ! when nothing is supposed to be read (order = 0)\n IF (order .EQ. 0) THEN\n blockdata_offset = file_size\n CALL mp_file_read_at_all(thefile, blockdata_offset, rsp_dummy)\n ELSE\n start_index = SUM(val_data(2, 1:i - 1)) + 1\n end_index = SUM(val_data(2, 1:i))\n blockdata_length = bdata_lens(order)\n blockdata_offset = bdata_offsets(order)\n CALL mp_file_read_at_all(thefile, blockdata_offset, rsp(start_index:end_index), &\n msglen=blockdata_length)\n END IF\n END DO\n CASE (dbcsr_type_real_8)\n ALLOCATE (rdp(darea_size))\n DO i = 1, share_size\n order = val_data(3, i)\n IF (order .EQ. 0) THEN\n blockdata_offset = file_size\n CALL mp_file_read_at_all(thefile, blockdata_offset, rdp_dummy)\n ELSE\n start_index = SUM(val_data(2, 1:i - 1)) + 1\n end_index = SUM(val_data(2, 1:i))\n blockdata_length = bdata_lens(order)\n blockdata_offset = bdata_offsets(order)\n CALL mp_file_read_at_all(thefile, blockdata_offset, rdp(start_index:end_index), &\n msglen=blockdata_length)\n END IF\n END DO\n CASE (dbcsr_type_complex_4)\n ALLOCATE (csp(darea_size))\n DO i = 1, share_size\n order = val_data(3, i)\n IF (order .EQ. 0) THEN\n blockdata_offset = file_size\n CALL mp_file_read_at_all(thefile, blockdata_offset, csp_dummy)\n ELSE\n start_index = SUM(val_data(2, 1:i - 1)) + 1\n end_index = SUM(val_data(2, 1:i))\n blockdata_length = bdata_lens(order)\n blockdata_offset = bdata_offsets(order)\n CALL mp_file_read_at_all(thefile, blockdata_offset, csp(start_index:end_index), &\n msglen=blockdata_length)\n END IF\n END DO\n CASE (dbcsr_type_complex_8)\n ALLOCATE (cdp(darea_size))\n DO i = 1, share_size\n order = val_data(3, i)\n IF (order .EQ. 0) THEN\n blockdata_offset = file_size\n CALL mp_file_read_at_all(thefile, blockdata_offset, cdp_dummy)\n ELSE\n start_index = SUM(val_data(2, 1:i - 1)) + 1\n end_index = SUM(val_data(2, 1:i))\n blockdata_length = bdata_lens(order)\n blockdata_offset = bdata_offsets(order)\n CALL mp_file_read_at_all(thefile, blockdata_offset, cdp(start_index:end_index), &\n msglen=blockdata_length)\n END IF\n END DO\n END SELECT\n CALL dbcsr_data_init(dblk)\n CALL dbcsr_data_new(dblk, data_type)\n IF (ALLOCATED(rdp)) dblk%d%r_dp => rdp\n IF (ALLOCATED(rsp)) dblk%d%r_sp => rsp\n IF (ALLOCATED(cdp)) dblk%d%c_dp => cdp\n IF (ALLOCATED(csp)) dblk%d%c_sp => csp\n\n CALL mp_file_close(thefile)\n\n CALL dbcsr_create(matrix_new, matrix_name, distribution, matrix_type, &\n row_blk_size, col_blk_size, nze=darea_size, &\n data_type=data_type)\n CALL dbcsr_datablock_redistribute(dblk, row_p, col_i, blk_p, proc_nblks, proc_darea_sizes, matrix_new)\n\n DEALLOCATE (subh2_offsets, subh3_offsets, bdata_offsets)\n DEALLOCATE (subh3_disps, bdata_disps)\n DEALLOCATE (linfo_lens, bdata_lens)\n DEALLOCATE (val_data, ginfo_vec, linfo_vec)\n DEALLOCATE (rowp, coli, blkp)\n IF (ALLOCATED(rdp)) DEALLOCATE (rdp)\n IF (ALLOCATED(rsp)) DEALLOCATE (rsp)\n IF (ALLOCATED(cdp)) DEALLOCATE (cdp)\n IF (ALLOCATED(csp)) DEALLOCATE (csp)\n CALL dbcsr_data_clear_pointer(dblk)\n DEALLOCATE (dblk%d)\n\n CALL timestop(handle)\n CONTAINS\n SUBROUTINE cumsum_l(arr, cumsum)\n INTEGER(kind=file_offset), DIMENSION(:), &\n INTENT(IN) :: arr\n INTEGER(kind=file_offset), DIMENSION(SIZE(arr)), &\n INTENT(OUT) :: cumsum\n\n INTEGER :: i\n\n cumsum(1) = arr(1)\n DO i = 2, SIZE(arr)\n cumsum(i) = cumsum(i - 1) + arr(i)\n END DO\n END SUBROUTINE cumsum_l\n\n END SUBROUTINE dbcsr_binary_read\n\n SUBROUTINE dbcsr_print_block_sum(matrix, unit_nr)\n !! Prints the sum of the elements for each block\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_print_block_sum'\n\n COMPLEX(KIND=real_4) :: blk_sum_c_sp\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER :: c_sp\n COMPLEX(KIND=real_8) :: blk_sum_c_dp\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER :: c_dp\n INTEGER :: bc, blk, blk_p, br, handle, iunit, m, &\n mn, n\n INTEGER, DIMENSION(:), POINTER :: col_blk_offset, col_blk_size, &\n row_blk_offset, row_blk_size\n REAL(KIND=real_4) :: blk_sum_r_sp\n REAL(KIND=real_4), DIMENSION(:), POINTER :: r_sp\n REAL(KIND=real_8) :: blk_sum_r_dp\n REAL(KIND=real_8), DIMENSION(:), POINTER :: r_dp\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. dbcsr_valid_index(matrix)) &\n DBCSR_WARN(\"Can not print invalid matrix.\")\n\n iunit = default_output_unit\n IF (PRESENT(unit_nr)) iunit = unit_nr\n\n IF (iunit > 0) THEN\n\n SELECT CASE (matrix%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_get_data(matrix%data_area, r_dp)\n CASE (dbcsr_type_real_4)\n CALL dbcsr_get_data(matrix%data_area, r_sp)\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_get_data(matrix%data_area, c_dp)\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_get_data(matrix%data_area, c_sp)\n END SELECT\n row_blk_size => array_data(matrix%row_blk_size)\n col_blk_size => array_data(matrix%col_blk_size)\n row_blk_offset => array_data(matrix%row_blk_offset)\n col_blk_offset => array_data(matrix%col_blk_offset)\n\n IF (matrix%nblks .GT. 0) THEN\n DO br = 1, matrix%nblkrows_total\n m = row_blk_size(br)\n DO blk = matrix%row_p(br) + 1, matrix%row_p(br + 1)\n bc = matrix%col_i(blk)\n n = col_blk_size(bc)\n mn = m*n\n blk_p = ABS(matrix%blk_p(blk))\n block_exists: IF (blk_p .NE. 0) THEN\n IF (mn .GT. 0) THEN\n SELECT CASE (matrix%data_type)\n CASE (dbcsr_type_real_8)\n blk_sum_r_dp = SUM(r_dp(blk_p:blk_p + mn - 1))\n WRITE (iunit, '(I6,I6,ES18.9)') &\n br, bc, blk_sum_r_dp\n CASE (dbcsr_type_real_4)\n blk_sum_r_sp = SUM(r_sp(blk_p:blk_p + mn - 1))\n WRITE (iunit, '(I6,I6,ES18.9)') &\n br, bc, blk_sum_r_sp\n CASE (dbcsr_type_complex_8)\n blk_sum_c_dp = SUM(c_dp(blk_p:blk_p + mn - 1))\n WRITE (iunit, '(I6,I6,ES18.9,\" I*\",ES18.9)') &\n br, bc, REAL(blk_sum_c_dp), AIMAG(blk_sum_c_dp)\n CASE (dbcsr_type_complex_4)\n blk_sum_c_sp = SUM(c_sp(blk_p:blk_p + mn - 1))\n WRITE (iunit, '(I6,I6,ES18.9,\" I*\",ES18.9)') &\n br, bc, REAL(blk_sum_c_sp), AIMAG(blk_sum_c_sp)\n END SELECT\n ELSE\n blk_sum_r_dp = 0.0_dp\n WRITE (iunit, '(I6,I6,ES18.9)') &\n br, bc, blk_sum_r_dp\n END IF\n END IF block_exists\n END DO\n END DO\n END IF\n\n END IF ! unit > 0\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_print_block_sum\n\nEND MODULE dbcsr_io\n" }, { "path": "src/ops/dbcsr_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_operations\n !! Higher-level operations on DBCSR matrices.\n USE dbcsr_array_types, ONLY: array_data, &\n array_equality, &\n array_get\n USE dbcsr_blas_operations, ONLY: set_larnv_seed\n USE dbcsr_block_access, ONLY: dbcsr_get_block_p, &\n dbcsr_put_block, &\n dbcsr_remove_block, &\n dbcsr_reserve_blocks, &\n dbcsr_reserve_block2d\n USE dbcsr_block_operations, ONLY: dbcsr_block_conjg, &\n dbcsr_block_partial_copy, &\n dbcsr_block_real_neg, &\n dbcsr_block_scale, &\n dbcsr_data_clear\n USE dbcsr_config, ONLY: default_resize_factor\n USE dbcsr_data_methods, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_ensure_size, dbcsr_data_get_size, &\n dbcsr_data_get_size_referenced, dbcsr_data_get_type, dbcsr_data_init, dbcsr_data_new, &\n dbcsr_data_release, dbcsr_data_set_pointer, dbcsr_get_data, dbcsr_scalar, &\n dbcsr_scalar_are_equal, dbcsr_scalar_fill_all, dbcsr_scalar_get_type, dbcsr_scalar_one, &\n dbcsr_scalar_zero, dbcsr_type_1d_to_2d, dbcsr_get_data_p_d, dbcsr_get_data_p_s, dbcsr_scalar_set_type\n USE dbcsr_data_operations, ONLY: dbcsr_data_convert, &\n dbcsr_data_copyall, &\n dbcsr_switch_data_area\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_col_dist, &\n dbcsr_distribution_local_cols, &\n dbcsr_distribution_local_rows, &\n dbcsr_distribution_mp, &\n dbcsr_distribution_row_dist, &\n dbcsr_distribution_get\n USE dbcsr_dist_operations, ONLY: checker_square_proc, &\n checker_tr, &\n dbcsr_find_column, &\n dbcsr_get_stored_coordinates, &\n dbcsr_get_stored_block_info\n USE dbcsr_index_operations, ONLY: dbcsr_index_checksum, &\n dbcsr_index_compact, &\n dbcsr_repoint_index\n USE dbcsr_iterator_operations, ONLY: dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block, &\n dbcsr_iterator_start, &\n dbcsr_iterator_stop\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_offsets, dbcsr_distribution, dbcsr_get_data_size, dbcsr_get_data_type, &\n dbcsr_get_index_memory_type, dbcsr_get_matrix_type, dbcsr_get_num_blocks, &\n dbcsr_get_replication_type, dbcsr_has_symmetry, dbcsr_max_col_size, dbcsr_max_row_size, &\n dbcsr_nblkcols_total, dbcsr_nblkrows_total, dbcsr_nfullcols_total, dbcsr_nfullrows_total, &\n dbcsr_row_block_offsets, dbcsr_valid_index, dbcsr_get_nze, dbcsr_nfullcols_local, &\n dbcsr_nfullrows_local, dbcsr_get_num_blocks, dbcsr_release, dbcsr_wm_use_mutable\n USE dbcsr_mpiwrap, ONLY: mp_comm_type\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_group, &\n dbcsr_mp_mynode, &\n dbcsr_mp_mypcol, &\n dbcsr_mp_myprow, &\n dbcsr_mp_numnodes, &\n dbcsr_mp_pgrid\n USE dbcsr_ptr_util, ONLY: ensure_array_size, &\n pointer_view\n USE dbcsr_toollib, ONLY: swap\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_filter_frobenius, dbcsr_func_artanh, &\n dbcsr_func_asin, dbcsr_func_cos, dbcsr_func_ddsin, dbcsr_func_ddtanh, dbcsr_func_dsin, &\n dbcsr_func_dtanh, dbcsr_func_inverse, dbcsr_func_inverse_special, dbcsr_func_sin, &\n dbcsr_func_spread_from_zero, dbcsr_func_tanh, dbcsr_func_truncate, dbcsr_iterator, &\n dbcsr_mp_obj, dbcsr_norm_column, dbcsr_norm_frobenius, dbcsr_norm_gershgorin, &\n dbcsr_norm_maxabsnorm, dbcsr_repl_full, dbcsr_repl_none, dbcsr_scalar_type, dbcsr_type, &\n dbcsr_type_antihermitian, dbcsr_type_antisymmetric, dbcsr_type_complex_4, &\n dbcsr_type_complex_8, dbcsr_type_hermitian, dbcsr_type_no_symmetry, dbcsr_type_real_4, &\n dbcsr_type_real_8, dbcsr_type_symmetric\n USE dbcsr_dist_util, ONLY: find_block_of_element\n USE dbcsr_work_operations, ONLY: dbcsr_create, &\n dbcsr_finalize, &\n dbcsr_work_create, &\n add_work_coordinate\n USE dbcsr_kinds, ONLY: dp, &\n int_4, &\n int_8, &\n real_4, &\n real_8, &\n sp\n USE dbcsr_mpiwrap, ONLY: mp_allgather, &\n mp_max, &\n mp_sum\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_operations'\n\n ! prettify protection\n CHARACTER, PARAMETER :: xa = dbcsr_type_hermitian, xb = dbcsr_type_antihermitian, &\n xc = dbcsr_type_no_symmetry\n\n PUBLIC :: dbcsr_trace, dbcsr_dot, dbcsr_add_on_diag, &\n dbcsr_set, dbcsr_scale, dbcsr_add, dbcsr_copy, &\n dbcsr_copy_into_existing, &\n dbcsr_get_diag, dbcsr_set_diag, &\n dbcsr_get_block_diag, dbcsr_hadamard_product, &\n dbcsr_filter, dbcsr_filter_anytype, dbcsr_scale_by_vector, &\n dbcsr_function_of_elements, &\n dbcsr_triu, &\n dbcsr_init_random\n PUBLIC :: dbcsr_sum_replicated\n PUBLIC :: dbcsr_norm_scalar, dbcsr_norm_r8_vec, dbcsr_conjg, &\n dbcsr_gershgorin_norm, dbcsr_maxabs, dbcsr_frobenius_norm\n\n PUBLIC :: dbcsr_crop_matrix\n PUBLIC :: dbcsr_get_info, dbcsr_may_be_dense, dbcsr_get_occupation\n PUBLIC :: dbcsr_clear, dbcsr_add_block_node, dbcsr_conform_scalar\n PUBLIC :: dbcsr_zero\n\n! The interfaces for the generic routines found in the generated\n! generic files.\n\n INTERFACE dbcsr_conform_scalar\n MODULE PROCEDURE make_conformant_scalar_d, make_conformant_scalar_s\n MODULE PROCEDURE make_conformant_scalar_c, make_conformant_scalar_z\n END INTERFACE\n\n INTERFACE dbcsr_trace\n MODULE PROCEDURE dbcsr_trace_s, dbcsr_trace_sd, &\n dbcsr_trace_c, dbcsr_trace_z\n END INTERFACE\n\n INTERFACE dbcsr_dot\n MODULE PROCEDURE dbcsr_dot_s, dbcsr_dot_sd, &\n dbcsr_dot_c, dbcsr_dot_z\n END INTERFACE\n\n INTERFACE dbcsr_scale\n MODULE PROCEDURE dbcsr_scale_anytype\n MODULE PROCEDURE dbcsr_scale_s, dbcsr_scale_d, dbcsr_scale_c, dbcsr_scale_z\n END INTERFACE\n\n INTERFACE dbcsr_scale_by_vector\n MODULE PROCEDURE dbcsr_scale_by_vector_anytype\n MODULE PROCEDURE dbcsr_scale_by_vector_s, dbcsr_scale_by_vector_d\n MODULE PROCEDURE dbcsr_scale_by_vector_c, dbcsr_scale_by_vector_z\n END INTERFACE\n\n INTERFACE dbcsr_set\n MODULE PROCEDURE dbcsr_set_s, dbcsr_set_d, dbcsr_set_c, dbcsr_set_z\n END INTERFACE\n\n INTERFACE dbcsr_add\n MODULE PROCEDURE dbcsr_add_anytype\n MODULE PROCEDURE dbcsr_add_s, dbcsr_add_d, dbcsr_add_c, dbcsr_add_z\n END INTERFACE\n\n INTERFACE dbcsr_add_on_diag\n MODULE PROCEDURE dbcsr_add_on_diag_s, dbcsr_add_on_diag_ds\n MODULE PROCEDURE dbcsr_add_on_diag_c, dbcsr_add_on_diag_z\n END INTERFACE\n\n INTERFACE dbcsr_filter\n MODULE PROCEDURE dbcsr_filter_anytype\n MODULE PROCEDURE dbcsr_filter_s, dbcsr_filter_d, &\n dbcsr_filter_c, dbcsr_filter_z\n END INTERFACE\n\n INTERFACE dbcsr_get_diag\n MODULE PROCEDURE dbcsr_get_diag_s, dbcsr_get_diag_d, dbcsr_get_diag_c, dbcsr_get_diag_z\n END INTERFACE\n\n INTERFACE dbcsr_set_diag\n MODULE PROCEDURE dbcsr_set_diag_s, dbcsr_set_diag_d, dbcsr_set_diag_c, dbcsr_set_diag_z\n END INTERFACE\n\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n INTEGER, PARAMETER, PRIVATE :: rpslot_owner = 1\n INTEGER, PARAMETER, PRIVATE :: rpslot_addblks = 2\n INTEGER, PARAMETER, PRIVATE :: rpslot_addoffset = 3\n INTEGER, PARAMETER, PRIVATE :: rpslot_oldblks = 4\n INTEGER, PARAMETER, PRIVATE :: rpslot_oldoffset = 5\n INTEGER, PARAMETER, PRIVATE :: rpslot_totaloffset = 6\n INTEGER, PARAMETER, PRIVATE :: rpnslots = 6\n\nCONTAINS\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n FUNCTION make_conformant_scalar_${nametype1}$ (scalar, matrix) RESULT(encapsulated)\n !! Encapsulates a given scalar value and makes it conform with the\n !! type of the matrix.\n\n ${type1}$, INTENT(IN) :: scalar\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n\n TYPE(dbcsr_scalar_type) :: encapsulated\n INTEGER :: data_type, scalar_data_type\n\n encapsulated = dbcsr_scalar(scalar)\n CALL dbcsr_scalar_fill_all(encapsulated)\n data_type = dbcsr_get_data_type(matrix)\n scalar_data_type = dbcsr_scalar_get_type(encapsulated)\n IF (scalar_data_type .EQ. dbcsr_type_complex_4 .OR. &\n scalar_data_type .EQ. dbcsr_type_complex_8) THEN\n IF (data_type .NE. dbcsr_type_complex_4 .AND. data_type .NE. dbcsr_type_complex_8) &\n DBCSR_ABORT(\"Can not conform a complex to a real number\")\n END IF\n CALL dbcsr_scalar_set_type(encapsulated, data_type)\n END FUNCTION make_conformant_scalar_${nametype1}$\n #:endfor\n\n SUBROUTINE dbcsr_add_block_node(matrix, block_row, block_col, block)\n !! Emulation of sparse_matrix_types/add_block_node mapped\n !! to add_real_matrix_block.... should not be used any longer\n !! It adds a block to the dbcsr matrix and returns a rank-2 pointer to the\n !! block. Currently it only and always uses the mutable data.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: block_row, block_col\n !! the row\n !! the column\n REAL(KIND=dp), DIMENSION(:, :), POINTER :: block\n !! the block to put\n\n INTEGER :: c, ithread, mynode, p, r\n LOGICAL :: dbg, existed, is_there, tr\n TYPE(dbcsr_distribution_obj) :: dist\n\n! ---------------------------------------------------------------------------\n\n dbg = .FALSE.\n\n ithread = 0\n!$ ithread = omp_get_thread_num()\n IF (.NOT. ASSOCIATED(matrix%wms)) THEN\n CALL dbcsr_work_create(matrix, work_mutable=.TRUE.)\n matrix%valid = .FALSE.\n END IF\n!$ IF (SIZE(matrix%wms) .LT. omp_get_num_threads()) &\n!$ DBCSR_ABORT(\"Too few threads.\")\n IF (.NOT. dbcsr_wm_use_mutable(matrix%wms(ithread + 1))) &\n DBCSR_ABORT(\"Data loss due to no conversion of appendable to mutable data\")\n is_there = ASSOCIATED(block)\n !r = row ; c = col ; tr = .FALSE.\n !CALL dbcsr_get_stored_coordinates (matrix, r, c, tr)\n !CALL dbcsr_reserve_block2d (matrix, row, col, block)\n !write(*,*) 'add_block_node: block_row',block_row,' block_col',block_col\n CALL dbcsr_reserve_block2d(matrix, block_row, block_col, block, &\n existed=existed)\n!\n IF (dbg) THEN\n r = block_row; c = block_col; tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(matrix, r, c, p)\n CALL dbcsr_get_info(matrix, distribution=dist)\n CALL dbcsr_distribution_get(dist, mynode=mynode)\n IF (p .NE. mynode) &\n DBCSR_WARN(\"Adding non-local element\")\n END IF\n IF (existed) DBCSR_WARN(\"You should not add existing blocks according to old API.\")\n IF (.NOT. is_there) block(:, :) = 0.0_dp\n END SUBROUTINE dbcsr_add_block_node\n\n SUBROUTINE dbcsr_conjg(matrix)\n !! Conjugate a DBCSR matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_conjg'\n INTEGER :: blk, col, data_type, handle, row\n LOGICAL :: tr\n TYPE(dbcsr_data_obj) :: data_any\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n!\n\n CALL timeset(routineN, handle)\n data_type = dbcsr_get_data_type(matrix)\n CALL dbcsr_data_init(data_any)\n CALL dbcsr_data_new(data_any, data_type)\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, data_any, tr, blk)\n SELECT CASE (data_type)\n CASE (dbcsr_type_complex_4)\n data_any%d%c_sp = CONJG(data_any%d%c_sp)\n CASE (dbcsr_type_complex_8)\n data_any%d%c_dp = CONJG(data_any%d%c_dp)\n CASE DEFAULT\n ! needed for g95\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_any)\n CALL dbcsr_data_release(data_any)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_conjg\n\n SUBROUTINE dbcsr_zero(matrix_a)\n !! fill a dbcsr matrix with zeros\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_zero'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n SELECT CASE (dbcsr_get_data_type(matrix_a))\n CASE (dbcsr_type_complex_4)\n matrix_a%data_area%d%c_sp = (0.0, 0.0)\n CASE (dbcsr_type_complex_8)\n matrix_a%data_area%d%c_dp = (0.0_dp, 0.0_dp)\n CASE (dbcsr_type_real_4)\n matrix_a%data_area%d%r_sp = 0.0\n CASE (dbcsr_type_real_8)\n matrix_a%data_area%d%r_dp = 0.0_dp\n END SELECT\n CALL timestop(handle)\n END SUBROUTINE dbcsr_zero\n\n SUBROUTINE dbcsr_scale_anytype(matrix_a, alpha_scalar, limits)\n !! Scales a DBCSR matrix by alpha\n !!\n !! Limits\n !! A 4-tuple describing (first_row, last_row, first_column, last_column). Set\n !! to 0 to avoid limiting.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n !! DBCSR matrix\n TYPE(dbcsr_scalar_type), INTENT(IN) :: alpha_scalar\n !! a scalar\n INTEGER, DIMENSION(4), INTENT(IN), OPTIONAL :: limits\n !! Scale only a subbox\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_scale_anytype'\n INTEGER, PARAMETER :: first_col_i = 3, first_row_i = 1, &\n last_col_i = 4, last_row_i = 2\n\n INTEGER :: a_col, a_col_size, a_row, a_row_size, col_offset, handle, row_offset, &\n scale_col_offset, scale_col_size, scale_row_offset, scale_row_size\n INTEGER, DIMENSION(4) :: my_limits\n LOGICAL :: do_scale, has_limits, tr\n TYPE(dbcsr_data_obj) :: data_any\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_scalar_type) :: one\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n ! Limits are only honored if the argument is present and any are\n ! non-zero.\n IF (PRESENT(limits)) THEN\n has_limits = ANY(limits(:) .NE. 0)\n ELSE\n has_limits = .FALSE.\n END IF\n my_limits(first_row_i) = 1\n my_limits(last_row_i) = dbcsr_nfullrows_total(matrix_a)\n my_limits(first_col_i) = 1\n my_limits(last_col_i) = dbcsr_nfullcols_total(matrix_a)\n IF (has_limits) THEN\n IF (limits(last_col_i) .NE. 0) THEN\n IF (debug_mod .AND. (limits(last_col_i) < 0 .OR. limits(last_col_i) > dbcsr_nfullcols_total(matrix_a))) &\n DBCSR_ABORT(\"Specified last column is out of bounds.\")\n my_limits(last_col_i) = limits(last_col_i)\n END IF\n IF (limits(first_col_i) .NE. 0) THEN\n IF (debug_mod .AND. (limits(first_col_i) < 0 .OR. limits(first_col_i) > dbcsr_nfullcols_total(matrix_a))) &\n DBCSR_ABORT(\"Specified first column is out of bounds.\")\n my_limits(first_col_i) = limits(first_col_i)\n END IF\n IF (limits(last_row_i) .NE. 0) THEN\n IF (debug_mod .AND. (limits(last_row_i) < 0 .OR. limits(last_row_i) > dbcsr_nfullrows_total(matrix_a))) &\n DBCSR_ABORT(\"Specified last row is out of bounds.\")\n my_limits(last_row_i) = limits(last_row_i)\n END IF\n IF (limits(first_row_i) .NE. 0) THEN\n IF (debug_mod .AND. (limits(first_row_i) < 0 .OR. limits(first_row_i) > dbcsr_nfullrows_total(matrix_a))) &\n DBCSR_ABORT(\"Specified first row is out of bounds.\")\n my_limits(first_row_i) = limits(first_row_i)\n END IF\n END IF\n !\n ! quick return if possible\n one = dbcsr_scalar_one(dbcsr_scalar_get_type(alpha_scalar))\n do_scale = .NOT. dbcsr_scalar_are_equal(alpha_scalar, one)\n !\n ! let's go\n IF (do_scale) THEN\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP PRIVATE (iter, data_any) &\n!$OMP PRIVATE (a_row, a_col, tr, a_row_size, a_col_size, &\n!$OMP row_offset, col_offset) &\n!$OMP PRIVATE (scale_row_size, scale_col_size,&\n!$OMP scale_row_offset, scale_col_offset) &\n!$OMP SHARED (matrix_a, my_limits,alpha_scalar)\n CALL dbcsr_data_init(data_any)\n CALL dbcsr_data_new(data_any, dbcsr_type_1d_to_2d(dbcsr_get_data_type(matrix_a)))\n CALL dbcsr_iterator_start(iter, matrix_a, read_only=.FALSE., &\n contiguous_pointers=.FALSE., dynamic=.TRUE., &\n dynamic_byrows=.TRUE., shared=.TRUE.)\n iterations: DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, a_row, a_col, data_any, tr, &\n row_size=a_row_size, col_size=a_col_size, &\n row_offset=row_offset, col_offset=col_offset)\n IF (a_row_size .GT. 0 .AND. a_col_size .GT. 0) THEN\n CALL frame_block_limit(a_row_size, row_offset, &\n my_limits(first_row_i), my_limits(last_row_i), &\n scale_row_size, scale_row_offset)\n CALL frame_block_limit(a_col_size, col_offset, &\n my_limits(first_col_i), my_limits(last_col_i), &\n scale_col_size, scale_col_offset)\n IF (tr) THEN\n CALL swap(scale_row_size, scale_col_size)\n CALL swap(scale_row_offset, scale_col_offset)\n END IF\n CALL dbcsr_block_scale(data_any, scale=alpha_scalar, &\n row_size=scale_row_size, col_size=scale_col_size, &\n lb=scale_row_offset, lb2=scale_col_offset)\n END IF\n END DO iterations\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_any)\n CALL dbcsr_data_release(data_any)\n!$OMP END PARALLEL\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_scale_anytype\n\n ELEMENTAL SUBROUTINE frame_block_limit(block_size, block_offset, &\n first_limit, last_limit, &\n frame_size, frame_offset)\n !! Determines the effect of limits on a block\n\n INTEGER, INTENT(IN) :: block_size, block_offset, first_limit, &\n last_limit\n !! size of block\n !! global offset of block\n !! lower limit\n !! upper limit\n INTEGER, INTENT(OUT) :: frame_size, frame_offset\n !! size of block region within the limits\n !! starting position of the block region that is within the limits\n\n INTEGER :: f, l\n\n f = MAX(block_offset, first_limit)\n l = MIN(block_offset + block_size - 1, last_limit)\n frame_size = MAX(l - f + 1, 0)\n frame_offset = MIN(f - block_offset + 1, block_size)\n END SUBROUTINE frame_block_limit\n\n SUBROUTINE dbcsr_scale_by_vector_anytype(matrix_a, alpha, side)\n !! Scales a DBCSR matrix by alpha\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n !! DBCSR matrix\n TYPE(dbcsr_data_obj), INTENT(IN), OPTIONAL :: alpha\n !! the scaling vector\n CHARACTER(LEN=*), INTENT(IN) :: side\n !! apply the scaling from the side\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_scale_by_vector_anytype'\n\n INTEGER :: a_blk, a_col, a_col_size, a_nze, a_row, &\n a_row_size, col_offset, data_type, &\n handle, i, icol, irow, row_offset\n LOGICAL :: right, tr\n TYPE(dbcsr_data_obj) :: data_any\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n ! check that alpha and matrix have the same data type\n IF (dbcsr_get_data_type(matrix_a) .NE. alpha%d%data_type) &\n DBCSR_ABORT(\"wrong data type matrix_a\")\n\n IF (ASSOCIATED(alpha%d%r2_sp) .OR. ASSOCIATED(alpha%d%r2_dp) &\n .OR. ASSOCIATED(alpha%d%c2_sp) .OR. ASSOCIATED(alpha%d%c2_dp)) &\n DBCSR_ABORT(\"alpha is not a vector\")\n !\n ! set vars\n right = .TRUE.\n SELECT CASE (side)\n CASE ('right'); right = .TRUE.\n CASE ('left'); right = .FALSE.\n CASE DEFAULT\n DBCSR_ABORT(\"wrong side=\"//side)\n END SELECT\n\n ! check that alpha and matrix have matching sizes\n IF (right .AND. dbcsr_nfullcols_total(matrix_a) /= dbcsr_data_get_size(alpha)) THEN\n DBCSR_ABORT(\"vector size does not match matrix row size for RHS scaling\")\n ELSE IF ((.NOT. right) .AND. dbcsr_nfullrows_total(matrix_a) /= dbcsr_data_get_size(alpha)) THEN\n DBCSR_ABORT(\"vector size does not match matrix col size for LHS scaling\")\n END IF\n\n !\n ! let's go\n data_type = dbcsr_get_data_type(matrix_a)\n CALL dbcsr_data_init(data_any)\n CALL dbcsr_data_new(data_any, dbcsr_get_data_type(matrix_a))\n CALL dbcsr_iterator_start(iter, matrix_a)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, a_row, a_col, data_any, tr, &\n block_number=a_blk, &\n row_size=a_row_size, col_size=a_col_size, &\n row_offset=row_offset, col_offset=col_offset)\n a_nze = a_row_size*a_col_size\n IF (a_nze .EQ. 0) CYCLE ! Skip empty blocks\n !\n ! let's scale\n IF (right) THEN\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n DO i = 1, a_col_size\n DO icol = (i - 1)*a_row_size + 1, (i - 1)*a_row_size + a_row_size\n data_any%d%r_sp(icol) = data_any%d%r_sp(icol)*alpha%d%r_sp(col_offset + i - 1)\n END DO\n END DO\n CASE (dbcsr_type_real_8)\n DO i = 1, a_col_size\n DO icol = (i - 1)*a_row_size + 1, (i - 1)*a_row_size + a_row_size\n data_any%d%r_dp(icol) = data_any%d%r_dp(icol)*alpha%d%r_dp(col_offset + i - 1)\n END DO\n END DO\n CASE (dbcsr_type_complex_4)\n DO i = 1, a_col_size\n DO icol = (i - 1)*a_row_size + 1, (i - 1)*a_row_size + a_row_size\n data_any%d%c_sp(icol) = data_any%d%c_sp(icol)*alpha%d%c_sp(col_offset + i - 1)\n END DO\n END DO\n CASE (dbcsr_type_complex_8)\n DO i = 1, a_col_size\n DO icol = (i - 1)*a_row_size + 1, (i - 1)*a_row_size + a_row_size\n data_any%d%c_dp(icol) = data_any%d%c_dp(icol)*alpha%d%c_dp(col_offset + i - 1)\n END DO\n END DO\n END SELECT\n ELSE\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n DO i = 1, a_row_size\n DO irow = i, i + a_col_size*a_row_size - 1, a_row_size\n data_any%d%r_sp(irow) = data_any%d%r_sp(irow)*alpha%d%r_sp(row_offset + i - 1)\n END DO\n END DO\n CASE (dbcsr_type_real_8)\n DO i = 1, a_row_size\n DO irow = i, i + a_col_size*a_row_size - 1, a_row_size\n data_any%d%r_dp(irow) = data_any%d%r_dp(irow)*alpha%d%r_dp(row_offset + i - 1)\n END DO\n END DO\n CASE (dbcsr_type_complex_4)\n DO i = 1, a_row_size\n DO irow = i, i + a_col_size*a_row_size - 1, a_row_size\n data_any%d%c_sp(irow) = data_any%d%c_sp(irow)*alpha%d%c_sp(row_offset + i - 1)\n END DO\n END DO\n CASE (dbcsr_type_complex_8)\n DO i = 1, a_row_size\n DO irow = i, i + a_col_size*a_row_size - 1, a_row_size\n data_any%d%c_dp(irow) = data_any%d%c_dp(irow)*alpha%d%c_dp(row_offset + i - 1)\n END DO\n END DO\n END SELECT\n END IF\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_any)\n CALL dbcsr_data_release(data_any)\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_scale_by_vector_anytype\n\n SUBROUTINE dbcsr_add_anytype(matrix_a, matrix_b, alpha_scalar, beta_scalar, flop)\n !! add and scale matrices\n !! A = alpha*A + beta*B or\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n !! DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: matrix_b\n !! DBCSR matrix\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: alpha_scalar, beta_scalar\n INTEGER(KIND=int_8), INTENT(INOUT), OPTIONAL :: flop\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_add_anytype'\n\n INTEGER :: data_type_a, data_type_b, &\n handle, size_work, iw\n INTEGER(KIND=int_8) :: my_flop, local_matrix_size\n LOGICAL :: do_scale\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_scalar_type) :: my_beta_scalar\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. dbcsr_valid_index(matrix_a)) &\n DBCSR_ABORT(\"Invalid matrix\")\n\n IF ((dbcsr_get_matrix_type(matrix_a) .EQ. dbcsr_type_symmetric .OR. &\n dbcsr_get_matrix_type(matrix_a) .EQ. dbcsr_type_antisymmetric) .NEQV. &\n (dbcsr_get_matrix_type(matrix_b) .EQ. dbcsr_type_symmetric .OR. &\n dbcsr_get_matrix_type(matrix_b) .EQ. dbcsr_type_antisymmetric)) THEN\n DBCSR_ABORT(\"Summing general with symmetric matrix NYI\")\n END IF\n\n data_type_a = dbcsr_get_data_type(matrix_a)\n data_type_b = dbcsr_get_data_type(matrix_b)\n !\n my_beta_scalar = dbcsr_scalar_one(data_type_b)\n IF (PRESENT(beta_scalar)) my_beta_scalar = beta_scalar\n !\n ! let's go\n IF ((dbcsr_nblkrows_total(matrix_a) .NE. dbcsr_nblkrows_total(matrix_b)) .OR. &\n (dbcsr_nblkcols_total(matrix_a) .NE. dbcsr_nblkcols_total(matrix_b)) .OR. &\n (data_type_a .NE. data_type_b)) &\n DBCSR_ABORT(\"matrices not consistent\")\n\n IF (data_type_a .NE. my_beta_scalar%data_type) &\n DBCSR_ABORT(\"beta type parameter not consistent with matrices type\")\n\n do_scale = .NOT. dbcsr_scalar_are_equal(my_beta_scalar, dbcsr_scalar_one(data_type_b))\n\n IF (PRESENT(alpha_scalar)) THEN\n CALL dbcsr_scale(matrix_a, alpha_scalar=alpha_scalar)\n END IF\n\n IF ((.NOT. dbcsr_scalar_are_equal(my_beta_scalar, &\n dbcsr_scalar_zero(data_type_b))) .AND. &\n dbcsr_get_num_blocks(matrix_b) .GT. 0) THEN\n\n ! Pre-size work arrays of matrix_a to avoid continuous reallocation.\n ! Overestimate for symmetric matrix and multiple threads!\n local_matrix_size = INT(dbcsr_nfullrows_local(matrix_a), KIND=int_8)* &\n dbcsr_nfullcols_local(matrix_a)\n size_work = MAX(0, INT(MIN(local_matrix_size - INT(dbcsr_get_nze(matrix_a), KIND=int_8), &\n INT(dbcsr_get_nze(matrix_b), KIND=int_8)), KIND=int_4))\n my_flop = 0\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP PRIVATE (iter, iw) &\n!$OMP SHARED (matrix_a, matrix_b, data_type_b, size_work) &\n!$OMP SHARED (do_scale, my_beta_scalar) &\n!$OMP REDUCTION (+ : my_flop)\n CALL dbcsr_work_create(matrix_a, &\n nblks_guess=matrix_b%nblks, &\n sizedata_guess=size_work, &\n work_mutable=.FALSE.)\n!$OMP BARRIER\n iw = 1\n!$ iw = omp_get_thread_num() + 1\n CALL dbcsr_iterator_start(iter, matrix_b, &\n shared=.TRUE., read_only=.TRUE., contiguous_pointers=.FALSE., &\n dynamic=.TRUE., dynamic_byrows=.TRUE.)\n SELECT CASE (data_type_b)\n CASE (dbcsr_type_real_4)\n CALL dbcsr_add_anytype_s(matrix_a, matrix_b, iter, iw, do_scale, my_beta_scalar, my_flop)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_add_anytype_d(matrix_a, matrix_b, iter, iw, do_scale, my_beta_scalar, my_flop)\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_add_anytype_c(matrix_a, matrix_b, iter, iw, do_scale, my_beta_scalar, my_flop)\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_add_anytype_z(matrix_a, matrix_b, iter, iw, do_scale, my_beta_scalar, my_flop)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n CALL dbcsr_iterator_stop(iter)\n\n CALL dbcsr_finalize(matrix_a)\n!$OMP END PARALLEL\n IF (PRESENT(flop)) flop = flop + my_flop\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_add_anytype\n\n SUBROUTINE dbcsr_add_d(matrix_a, matrix_b, alpha_scalar, beta_scalar)\n !! Interface for dbcsr_add\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n TYPE(dbcsr_type), INTENT(IN) :: matrix_b\n REAL(real_8), INTENT(IN) :: alpha_scalar, beta_scalar\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_add_d'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n IF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_8 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_real_8) THEN\n CALL dbcsr_add_anytype(matrix_a, matrix_b, &\n alpha_scalar=dbcsr_scalar(alpha_scalar), &\n beta_scalar=dbcsr_scalar(beta_scalar))\n ELSEIF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_4 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_real_4) THEN\n CALL dbcsr_add_anytype(matrix_a, matrix_b, &\n alpha_scalar=dbcsr_scalar(REAL(alpha_scalar, real_4)), &\n beta_scalar=dbcsr_scalar(REAL(beta_scalar, real_4)))\n ELSEIF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_complex_4 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_complex_4) THEN\n CALL dbcsr_add_anytype(matrix_a, matrix_b, &\n alpha_scalar=dbcsr_scalar(CMPLX(alpha_scalar, 0, real_4)), &\n beta_scalar=dbcsr_scalar(CMPLX(beta_scalar, 0, real_4)))\n ELSEIF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_complex_8 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_complex_8) THEN\n CALL dbcsr_add_anytype(matrix_a, matrix_b, &\n alpha_scalar=dbcsr_scalar(CMPLX(alpha_scalar, 0, real_8)), &\n beta_scalar=dbcsr_scalar(CMPLX(beta_scalar, 0, real_8)))\n ELSE\n DBCSR_ABORT(\"Invalid combination of data type, NYI\")\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_add_d\n\n SUBROUTINE dbcsr_add_s(matrix_a, matrix_b, alpha_scalar, beta_scalar)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n TYPE(dbcsr_type), INTENT(IN) :: matrix_b\n REAL(real_4), INTENT(IN) :: alpha_scalar, beta_scalar\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_add_s'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n IF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_4 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_real_4) THEN\n CALL dbcsr_add_anytype(matrix_a, matrix_b, &\n alpha_scalar=dbcsr_scalar(alpha_scalar), &\n beta_scalar=dbcsr_scalar(beta_scalar))\n ELSE\n DBCSR_ABORT(\"Invalid combination of data type, NYI\")\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_add_s\n\n SUBROUTINE dbcsr_add_z(matrix_a, matrix_b, alpha_scalar, beta_scalar)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n TYPE(dbcsr_type), INTENT(IN) :: matrix_b\n COMPLEX(real_8), INTENT(IN) :: alpha_scalar, beta_scalar\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_add_z'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n IF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_complex_8 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_complex_8) THEN\n CALL dbcsr_add_anytype(matrix_a, matrix_b, &\n alpha_scalar=dbcsr_scalar(alpha_scalar), &\n beta_scalar=dbcsr_scalar(beta_scalar))\n ELSEIF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_complex_4 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_complex_4) THEN\n CALL dbcsr_add_anytype(matrix_a, matrix_b, &\n alpha_scalar=dbcsr_scalar(CMPLX(alpha_scalar, KIND=real_4)), &\n beta_scalar=dbcsr_scalar(CMPLX(beta_scalar, KIND=real_4)))\n ELSE\n DBCSR_ABORT(\"Invalid combination of data type, NYI\")\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_add_z\n\n SUBROUTINE dbcsr_add_c(matrix_a, matrix_b, alpha_scalar, beta_scalar)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n TYPE(dbcsr_type), INTENT(IN) :: matrix_b\n COMPLEX(real_4), INTENT(IN) :: alpha_scalar, beta_scalar\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_add_c'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n IF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_complex_4 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_complex_4) THEN\n CALL dbcsr_add_anytype(matrix_a, matrix_b, &\n alpha_scalar=dbcsr_scalar(alpha_scalar), &\n beta_scalar=dbcsr_scalar(beta_scalar))\n ELSE\n DBCSR_ABORT(\"Invalid combination of data type, NYI\")\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_add_c\n\n SUBROUTINE dbcsr_add_on_diag_ds(matrix, alpha)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n REAL(kind=real_8), INTENT(IN) :: alpha\n\n IF (dbcsr_get_data_type(matrix) == dbcsr_type_real_4) THEN\n CALL dbcsr_add_on_diag_s(matrix, REAL(alpha, kind=real_4))\n ELSE\n CALL dbcsr_add_on_diag_d(matrix, alpha)\n END IF\n END SUBROUTINE dbcsr_add_on_diag_ds\n\n SUBROUTINE dbcsr_function_of_elements(matrix_a, func, a0, a1, a2)\n !! Computes various functions (defined by func) of matrix elements\n !! @note\n !! sign(A,B) returns the value of A with the sign of B\n !! dbcsr_func_inverse: 1/(a1*x+a0)\n !! fails if the inversion produces infinite numbers\n !! dbcsr_func_inverse_special: 1/(x+sign(a0,x))\n !! safe inverse: if a0>0 then the denominator is never zero\n !! dbcsr_func_tanh: tanh(a1*x+a0)\n !! dbcsr_func_dtanh: d(tanh(a1*x+a0)) / dx\n !! dbcsr_func_ddtanh: d2(tanh(a1*x+a0)) / dx2\n !! dbcsr_func_artanh: artanh(a1*x+a0)=ln[(1+(a1*x+a0))/(1-(a1*x+a0))]/2\n !! fails if |a1*x+a0| >= 1\n !! dbcsr_func_sread_from_zero: if |x|<|a0| then x=sign(a0,x)\n !! dbcsr_func_truncate: if |x|>|a0| then x=sign(a0,x)\n !! dbcsr_func_sin: sin(a1*x+a0)\n !! dbcsr_func_cos: cos(a1*x+a0)\n !! dbcsr_func_dsin: d(sin(a1*x+a0)) / dx = a1*cos(a1*x+a0)\n !! dbcsr_func_ddsin: d2(sin(a1*x+a0)) / dx2 = -a1*a1*sin(a1*x+a0)\n !! dbcsr_func_asin: asin(a1*x+a0)\n !! fails if |a1*x+a0| > 1\n !! @endnote\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: func\n REAL(kind=dp), INTENT(IN), OPTIONAL :: a0, a1, a2\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_function_of_elements'\n\n INTEGER :: blk, col, col_size, data_type, handle, &\n ielem, nze, row, row_size\n LOGICAL :: tr_a\n REAL(kind=dp) :: p0, p1, p2\n TYPE(dbcsr_data_obj) :: a_data\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(a0)) THEN\n p0 = a0\n ELSE\n p0 = 0.0_dp\n END IF\n IF (PRESENT(a1)) THEN\n p1 = a1\n ELSE\n p1 = 1.0_dp\n END IF\n IF (PRESENT(a2)) THEN\n p2 = a2\n ELSE\n p2 = 0.0_dp\n END IF\n\n data_type = dbcsr_get_data_type(matrix_a)\n CALL dbcsr_data_init(a_data)\n CALL dbcsr_data_new(a_data, data_type)\n CALL dbcsr_iterator_start(iter, matrix_a)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, a_data, tr_a, blk, &\n row_size=row_size, col_size=col_size)\n nze = row_size*col_size\n SELECT CASE (data_type)\n !CASE (dbcsr_type_real_4)\n ! a_data%d%r_sp(1:nze) = 1.0_real_4/a_data%d%r_sp(1:nze)\n ! IF(MAXVAL(ABS(a_data%d%r_sp)).GE.HUGE(0.0_real_4))&\n ! DBCSR_ABORT(\"Division by zero\")\n CASE (dbcsr_type_real_8)\n SELECT CASE (func)\n CASE (dbcsr_func_spread_from_zero)\n ! if |x|<|a0| then x=|a0|*sign(x)\n DO ielem = 1, nze\n IF (ABS(a_data%d%r_dp(ielem)) .LT. ABS(p0)) THEN\n a_data%d%r_dp(ielem) = SIGN(p0, a_data%d%r_dp(ielem))\n END IF\n END DO\n CASE (dbcsr_func_truncate)\n ! if |x|>|a0| then x=|a0|*sign(x)\n DO ielem = 1, nze\n IF (ABS(a_data%d%r_dp(ielem)) .GT. ABS(p0)) THEN\n a_data%d%r_dp(ielem) = SIGN(p0, a_data%d%r_dp(ielem))\n END IF\n END DO\n CASE (dbcsr_func_inverse_special)\n !IF (MINVAL(ABS(a_data%d%r_dp)).le.ABS(p2)) THEN\n ! ! there is at least one near-zero element,\n ! ! invert element-by-element\n ! DO ielem=1,nze\n ! IF (a_data%d%r_dp(ielem).le.ABS(p2)) THEN\n ! a_data%d%r_dp(ielem) = 0.0_real_8\n ! ELSE\n ! a_data%d%r_dp(ielem) = &\n ! 1.0_real_8/(p1*a_data%d%r_dp(ielem)+p0)\n ! ENDIF\n ! ENDDO\n !ELSE\n ! a_data%d%r_dp(1:nze) = 1.0_real_8/(p1*a_data%d%r_dp(1:nze)+p0)\n !ENDIF\n a_data%d%r_dp(1:nze) = 1.0_real_8/(a_data%d%r_dp(1:nze) + SIGN(p0, a_data%d%r_dp(1:nze)))\n CASE (dbcsr_func_inverse)\n a_data%d%r_dp(1:nze) = 1.0_real_8/(p1*a_data%d%r_dp(1:nze) + p0)\n IF (MAXVAL(ABS(a_data%d%r_dp)) .GE. HUGE(0.0_real_8)) &\n DBCSR_ABORT(\"Division by zero\")\n CASE (dbcsr_func_tanh)\n a_data%d%r_dp(1:nze) = TANH(p1*a_data%d%r_dp(1:nze) + p0)\n CASE (dbcsr_func_dtanh)\n a_data%d%r_dp(1:nze) = TANH(p1*a_data%d%r_dp(1:nze) + p0)\n a_data%d%r_dp(1:nze) = a_data%d%r_dp(1:nze)**2\n a_data%d%r_dp(1:nze) = p1*(1.0_real_8 - a_data%d%r_dp(1:nze))\n CASE (dbcsr_func_ddtanh)\n a_data%d%r_dp(1:nze) = TANH(p1*a_data%d%r_dp(1:nze) + p0)\n a_data%d%r_dp(1:nze) = a_data%d%r_dp(1:nze)**3 - a_data%d%r_dp(1:nze)\n a_data%d%r_dp(1:nze) = 2.0_real_8*(p1**2)*a_data%d%r_dp(1:nze)\n CASE (dbcsr_func_artanh)\n a_data%d%r_dp(1:nze) = p1*a_data%d%r_dp(1:nze) + p0\n IF (MAXVAL(ABS(a_data%d%r_dp)) .GE. 1.0_real_8) &\n DBCSR_ABORT(\"ARTANH is undefined for |x|>=1\")\n a_data%d%r_dp(1:nze) = (1.0_real_8 + a_data%d%r_dp(1:nze)) &\n /(1.0_real_8 - a_data%d%r_dp(1:nze))\n a_data%d%r_dp(1:nze) = 0.5_real_8*LOG(a_data%d%r_dp(1:nze))\n CASE (dbcsr_func_sin)\n a_data%d%r_dp(1:nze) = SIN(p1*a_data%d%r_dp(1:nze) + p0)\n CASE (dbcsr_func_cos)\n a_data%d%r_dp(1:nze) = COS(p1*a_data%d%r_dp(1:nze) + p0)\n CASE (dbcsr_func_dsin)\n a_data%d%r_dp(1:nze) = p1*COS(p1*a_data%d%r_dp(1:nze) + p0)\n CASE (dbcsr_func_ddsin)\n a_data%d%r_dp(1:nze) = -p1*p1*SIN(p1*a_data%d%r_dp(1:nze) + p0)\n CASE (dbcsr_func_asin)\n a_data%d%r_dp(1:nze) = p1*a_data%d%r_dp(1:nze) + p0\n IF (MAXVAL(ABS(a_data%d%r_dp)) .GT. 1.0_real_8) &\n DBCSR_ABORT(\"ASIN is undefined for |x|>1\")\n a_data%d%r_dp(1:nze) = ASIN(a_data%d%r_dp(1:nze))\n CASE DEFAULT\n DBCSR_ABORT(\"Unknown function of matrix elements\")\n END SELECT\n !CASE (dbcsr_type_complex_4)\n !CASE (dbcsr_type_complex_8)\n CASE DEFAULT\n DBCSR_ABORT(\"Operation is implemented only for dp real values\")\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(a_data)\n CALL dbcsr_data_release(a_data)\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_function_of_elements\n\n SUBROUTINE dbcsr_hadamard_product(matrix_a, matrix_b, matrix_c, &\n b_assume_value)\n !! Hadamard product\n !! C = A . B (C needs to be different from A and B)\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n !! DBCSR matrix\n !! DBCSR matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_c\n !! DBCSR matrix\n REAL(KIND=dp), INTENT(IN), OPTIONAL :: b_assume_value\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_hadamard_product'\n\n INTEGER :: blk, col, col_size, data_type, handle, &\n nze, row, row_size\n LOGICAL :: assume_blocks_in_b, found, tr_a, tr_b\n REAL(KIND=dp) :: assumed_b_value\n TYPE(dbcsr_data_obj) :: a_data, b_data, c_data\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n IF (PRESENT(b_assume_value)) THEN\n assume_blocks_in_b = .TRUE.\n assumed_b_value = b_assume_value\n ELSE\n assume_blocks_in_b = .FALSE.\n assumed_b_value = 0.0_dp\n END IF\n\n CALL timeset(routineN, handle)\n IF (dbcsr_get_data_type(matrix_a) .NE. dbcsr_get_data_type(matrix_b) .OR. &\n dbcsr_get_data_type(matrix_a) .NE. dbcsr_get_data_type(matrix_c)) &\n DBCSR_ABORT(\"data types not consistent, need to fix that\")\n\n IF (dbcsr_nblkrows_total(matrix_a) .NE. dbcsr_nblkrows_total(matrix_b) .OR. &\n dbcsr_nblkrows_total(matrix_c) .NE. dbcsr_nblkrows_total(matrix_a)) &\n DBCSR_ABORT(\"matrices not consistent\")\n\n data_type = dbcsr_get_data_type(matrix_a)\n CALL dbcsr_data_init(c_data)\n CALL dbcsr_data_new(c_data, data_type, &\n data_size=dbcsr_max_row_size(matrix_a)*dbcsr_max_col_size(matrix_a))\n CALL dbcsr_zero(matrix_c)\n CALL dbcsr_data_init(a_data)\n CALL dbcsr_data_new(a_data, data_type)\n CALL dbcsr_data_init(b_data)\n CALL dbcsr_data_new(b_data, data_type)\n CALL dbcsr_iterator_start(iter, matrix_a)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n SELECT CASE (dbcsr_get_data_type(matrix_a))\n !CASE (dbcsr_type_real_4)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_iterator_next_block(iter, row, col, a_data, tr_a, blk, &\n row_size=row_size, col_size=col_size)\n nze = row_size*col_size\n CALL dbcsr_get_block_p(matrix_b, row, col, b_data, tr_b, found)\n IF (tr_a .NEQV. tr_b) &\n DBCSR_ABORT(\"tr not consistent, need to fix that\")\n IF (found) THEN\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n c_data%d%r_sp(1:nze) = a_data%d%r_sp(1:nze)*b_data%d%r_sp(1:nze)\n CALL dbcsr_put_block(matrix_c, row, col, c_data%d%r_sp(1:nze), transposed=tr_a, &\n summation=.FALSE.)\n CASE (dbcsr_type_real_8)\n c_data%d%r_dp(1:nze) = a_data%d%r_dp(1:nze)*b_data%d%r_dp(1:nze)\n CALL dbcsr_put_block(matrix_c, row, col, c_data%d%r_dp(1:nze), transposed=tr_a, &\n summation=.FALSE.)\n CASE (dbcsr_type_complex_4)\n c_data%d%c_sp(1:nze) = a_data%d%c_sp(1:nze)*b_data%d%c_sp(1:nze)\n CALL dbcsr_put_block(matrix_c, row, col, c_data%d%c_sp(1:nze), transposed=tr_a, &\n summation=.FALSE.)\n CASE (dbcsr_type_complex_8)\n c_data%d%c_dp(1:nze) = a_data%d%c_dp(1:nze)*b_data%d%c_dp(1:nze)\n CALL dbcsr_put_block(matrix_c, row, col, c_data%d%c_dp(1:nze), transposed=tr_a, &\n summation=.FALSE.)\n END SELECT\n ELSE\n IF (assume_blocks_in_b) THEN ! this makes not too much sense, to delete ?\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n c_data%d%r_sp(1:nze) = a_data%d%r_sp(1:nze)*REAL(assumed_b_value, KIND=sp)\n CALL dbcsr_put_block(matrix_c, row, col, c_data%d%r_sp(1:nze), transposed=tr_a, &\n summation=.FALSE.)\n CASE (dbcsr_type_real_8)\n c_data%d%r_dp(1:nze) = a_data%d%r_dp(1:nze)*assumed_b_value\n CALL dbcsr_put_block(matrix_c, row, col, c_data%d%r_dp(1:nze), transposed=tr_a, &\n summation=.FALSE.)\n CASE (dbcsr_type_complex_4)\n c_data%d%c_sp(1:nze) = a_data%d%c_sp(1:nze)*REAL(assumed_b_value, KIND=sp)\n CALL dbcsr_put_block(matrix_c, row, col, c_data%d%c_sp(1:nze), transposed=tr_a, &\n summation=.FALSE.)\n CASE (dbcsr_type_complex_8)\n c_data%d%c_dp(1:nze) = a_data%d%c_dp(1:nze)*assumed_b_value\n CALL dbcsr_put_block(matrix_c, row, col, c_data%d%c_dp(1:nze), transposed=tr_a, &\n summation=.FALSE.)\n END SELECT\n END IF\n END IF\n !CASE (dbcsr_type_complex_4)\n !CASE (dbcsr_type_complex_8)\n CASE DEFAULT\n DBCSR_ABORT(\"Only real double precision\")\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_finalize(matrix_c)\n CALL dbcsr_data_clear_pointer(a_data)\n CALL dbcsr_data_clear_pointer(b_data)\n CALL dbcsr_data_release(c_data)\n CALL dbcsr_data_release(a_data)\n CALL dbcsr_data_release(b_data)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_hadamard_product\n\n SUBROUTINE dbcsr_init_random(matrix, keep_sparsity, mini_seed)\n !! ... TODO : unify with other version which is generic in the data_type\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n LOGICAL, OPTIONAL :: keep_sparsity\n INTEGER, INTENT(IN), OPTIONAL :: mini_seed\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_init_random'\n\n INTEGER :: col, col_size, handle, hold, iseed(4), &\n mynode, ncol, nrow, row, row_size, &\n stored_col, stored_row, my_mini_seed\n INTEGER, DIMENSION(:), POINTER :: col_blk_size, row_blk_size\n LOGICAL :: found, my_keep_sparsity, tr\n REAL(real_8), ALLOCATABLE, DIMENSION(:) :: rnd\n REAL(real_8), DIMENSION(:, :), POINTER :: buff, data_d\n\n! ---------------------------------------------------------------------------\n\n my_keep_sparsity = .FALSE.\n IF (PRESENT(keep_sparsity)) my_keep_sparsity = keep_sparsity\n\n my_mini_seed = 1\n IF (PRESENT(mini_seed)) my_mini_seed = mini_seed\n\n CALL timeset(routineN, handle)\n\n row_blk_size => array_data(matrix%row_blk_size)\n col_blk_size => array_data(matrix%col_blk_size)\n mynode = dbcsr_mp_mynode(dbcsr_distribution_mp(dbcsr_distribution(matrix)))\n CALL dbcsr_work_create(matrix, work_mutable=.TRUE.)\n\n ALLOCATE (rnd(MAXVAL(row_blk_size)*MAXVAL(col_blk_size)))\n nrow = dbcsr_nblkrows_total(matrix)\n ncol = dbcsr_nblkcols_total(matrix)\n DO row = 1, nrow\n DO col = 1, ncol\n row_size = row_blk_size(row)\n col_size = col_blk_size(col)\n tr = .FALSE.\n stored_row = row\n stored_col = col\n CALL dbcsr_get_stored_coordinates(matrix, stored_row, stored_col, hold)\n IF (hold .EQ. mynode) THEN\n CALL dbcsr_get_block_p(matrix, stored_row, stored_col, data_d, tr, found)\n IF (found .OR. (.NOT. my_keep_sparsity)) THEN\n ! set the seed for dlarnv, is here to guarantee same value of the random numbers\n ! for all layouts (and block distributions)\n CALL set_larnv_seed(row, nrow, col, ncol, my_mini_seed, iseed)\n CALL dlarnv(1, iseed, row_size*col_size, rnd(1))\n END IF\n IF (found) THEN\n CALL dcopy(row_size*col_size, rnd, 1, data_d, 1)\n ELSE\n IF (.NOT. my_keep_sparsity) THEN\n ALLOCATE (buff(row_size, col_size))\n CALL dcopy(row_size*col_size, rnd, 1, buff, 1)\n CALL dbcsr_put_block(matrix, stored_row, stored_col, buff)\n DEALLOCATE (buff)\n END IF\n END IF\n END IF\n END DO\n END DO\n DEALLOCATE (rnd)\n\n CALL dbcsr_finalize(matrix)\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_init_random\n\n SUBROUTINE dbcsr_get_block_diag(matrix, diag)\n !! get the diagonal of a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! the matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: diag\n !! the diagonal\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_block_diag'\n\n INTEGER :: blk, col, handle, row\n LOGICAL :: tr\n TYPE(dbcsr_data_obj) :: data_a\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n CALL dbcsr_create(diag, name='diag of '//TRIM(matrix%name), &\n template=matrix)\n\n CALL dbcsr_data_init(data_a)\n CALL dbcsr_data_new(data_a, dbcsr_get_data_type(matrix))\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, data_a, tr, blk)\n IF (row .EQ. col) CALL dbcsr_put_block(diag, row, col, data_a, transposed=tr)\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_a)\n CALL dbcsr_data_release(data_a)\n CALL dbcsr_finalize(diag)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_get_block_diag\n\n LOGICAL FUNCTION symmetry_consistent(matrix_type, data_type)\n !! checks if matrix symmetry and data_type are consistent\n !! \\brief note: does not check the symmetry of the data itself\n\n CHARACTER, INTENT(IN) :: matrix_type\n INTEGER, INTENT(IN) :: data_type\n\n symmetry_consistent = .FALSE.\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4, dbcsr_type_real_8)\n SELECT CASE (matrix_type)\n CASE (dbcsr_type_no_symmetry, dbcsr_type_symmetric, dbcsr_type_antisymmetric)\n symmetry_consistent = .TRUE.\n END SELECT\n CASE (dbcsr_type_complex_4, dbcsr_type_complex_8)\n SELECT CASE (matrix_type)\n CASE (dbcsr_type_no_symmetry, dbcsr_type_hermitian, dbcsr_type_antihermitian)\n symmetry_consistent = .TRUE.\n END SELECT\n CASE DEFAULT\n DBCSR_ABORT(\"Invalid data type.\")\n END SELECT\n\n END FUNCTION symmetry_consistent\n\n LOGICAL FUNCTION symmetry_compatible(matrix_type_a, matrix_type_b)\n !! checks if symmetries of two matrices are compatible for copying\n !! \\brief data from matrix_a(source) to matrix_b(target)\n\n CHARACTER, INTENT(IN) :: matrix_type_a, matrix_type_b\n\n symmetry_compatible = .FALSE.\n\n SELECT CASE (matrix_type_a)\n CASE (dbcsr_type_no_symmetry)\n SELECT CASE (matrix_type_b)\n CASE (dbcsr_type_no_symmetry)\n symmetry_compatible = .TRUE.\n END SELECT\n CASE (dbcsr_type_symmetric, dbcsr_type_hermitian)\n SELECT CASE (matrix_type_b)\n CASE (dbcsr_type_symmetric, dbcsr_type_hermitian)\n symmetry_compatible = .TRUE.\n END SELECT\n CASE (dbcsr_type_antisymmetric, dbcsr_type_antihermitian)\n SELECT CASE (matrix_type_b)\n CASE (dbcsr_type_antisymmetric, dbcsr_type_antihermitian)\n symmetry_compatible = .TRUE.\n END SELECT\n CASE DEFAULT\n DBCSR_ABORT(\"Invalid matrix type.\")\n END SELECT\n\n END FUNCTION symmetry_compatible\n\n SUBROUTINE dbcsr_copy(matrix_b, matrix_a, name, keep_sparsity, &\n shallow_data, keep_imaginary, matrix_type)\n !! copy a matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_b\n !! target DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n !! source DBCSR matrix\n CHARACTER(LEN=*), INTENT(IN), OPTIONAL :: name\n !! name of the new matrix\n LOGICAL, INTENT(IN), OPTIONAL :: keep_sparsity, shallow_data, &\n keep_imaginary\n !! keep the target matrix sparsity; default is False.\n !! shallow data copy\n !! when copy from complex to real,& the default is to keep only the real part; if this flag is set, the imaginary part is\n !! used\n CHARACTER, INTENT(IN), OPTIONAL :: matrix_type\n !! 'N' for normal, 'T' for transposed, 'S' for symmetric, and 'A' for antisymmetric\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_copy'\n CHARACTER :: new_matrix_type, repl_type\n INTEGER :: handle, new_type\n LOGICAL :: keep_sparse, shallow\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. symmetry_consistent(dbcsr_get_matrix_type(matrix_a), dbcsr_get_data_type(matrix_a))) &\n DBCSR_ABORT(\"Source matrix symmetry not consistent with its data type.\")\n shallow = .FALSE.; IF (PRESENT(shallow_data)) shallow = shallow_data\n keep_sparse = .FALSE.\n IF (PRESENT(keep_sparsity)) keep_sparse = keep_sparsity\n IF (keep_sparse .AND. .NOT. dbcsr_valid_index(matrix_b)) &\n DBCSR_ABORT(\"Target matrix must be valid to keep its sparsity\")\n IF (keep_sparse .AND. shallow) &\n DBCSR_WARN(\"Shallow copy not compatibly with sparsity retainment\")\n IF (keep_sparse) THEN\n IF (PRESENT(name)) matrix_b%name = name\n CALL dbcsr_copy_into_existing(matrix_b, matrix_a)\n ELSE\n IF (dbcsr_valid_index(matrix_b)) THEN\n new_type = dbcsr_get_data_type(matrix_b)\n repl_type = dbcsr_get_replication_type(matrix_b)\n ELSE\n new_type = dbcsr_get_data_type(matrix_a)\n repl_type = dbcsr_get_replication_type(matrix_a)\n END IF\n new_matrix_type = dbcsr_get_matrix_type(matrix_a)\n IF (PRESENT(matrix_type)) THEN\n IF (.NOT. symmetry_compatible(dbcsr_get_matrix_type(matrix_a), matrix_type)) &\n CALL dbcsr_abort(__LOCATION__, \"Specified target matrix symmetry \"//matrix_type// &\n \" not compatible with source matrix type \"//dbcsr_get_matrix_type(matrix_a))\n new_matrix_type = matrix_type\n END IF\n IF (.NOT. symmetry_consistent(new_matrix_type, new_type)) &\n CALL dbcsr_abort(__LOCATION__, \"Target matrix symmetry \"// &\n new_matrix_type//\" not consistent with its data type.\")\n IF (PRESENT(name)) THEN\n CALL dbcsr_create(matrix_b, name=TRIM(name), &\n template=matrix_a, &\n matrix_type=new_matrix_type, &\n data_type=new_type)\n ELSE\n CALL dbcsr_create(matrix_b, &\n data_type=new_type, &\n matrix_type=new_matrix_type, &\n template=matrix_a)\n END IF\n CALL ensure_array_size(matrix_b%index, ub=SIZE(matrix_a%index), &\n memory_type=dbcsr_get_index_memory_type(matrix_b))\n !\n ! copy index and data\n matrix_b%index(1:SIZE(matrix_a%index)) = matrix_a%index(:)\n IF (.NOT. shallow) THEN\n IF (matrix_a%nze > dbcsr_get_data_size(matrix_a)) &\n DBCSR_ABORT(\"Source matrix sizes not consistent!\")\n CALL dbcsr_data_ensure_size(matrix_b%data_area, &\n dbcsr_data_get_size_referenced(matrix_a%data_area))\n IF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_get_data_type(matrix_b)) &\n THEN\n CALL dbcsr_data_copyall(matrix_b%data_area, &\n matrix_a%data_area)\n ELSE\n CALL dbcsr_data_convert(matrix_b%data_area, &\n matrix_a%data_area, drop_real=keep_imaginary)\n END IF\n ELSE\n IF (dbcsr_get_data_type(matrix_a) .NE. dbcsr_get_data_type(matrix_b)) &\n DBCSR_ABORT(\"Shallow copy only possible when retaining data type.\")\n CALL dbcsr_switch_data_area(matrix_b, matrix_a%data_area)\n END IF\n !\n ! the row_p, col_i and blk_p ...\n CALL dbcsr_repoint_index(matrix_b)\n matrix_b%nze = matrix_a%nze\n matrix_b%nblks = matrix_b%nblks\n matrix_b%valid = .TRUE.\n\n matrix_b%sparsity_id = matrix_a%sparsity_id\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_copy\n\n SUBROUTINE dbcsr_copy_into_existing(matrix_b, matrix_a)\n !! copy a matrix, retaining current sparsity\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_b\n !! target DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n !! source DBCSR matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_copy_into_existing'\n\n INTEGER :: col_size, data_type, dst_col, dst_row, &\n handle, rel, row_size, src_col, &\n src_cs, src_row, src_rs\n LOGICAL :: dst_tr, making_symmetric, neg_imag, &\n neg_real, src_tr\n TYPE(dbcsr_data_obj) :: dst_data, src_data\n TYPE(dbcsr_iterator) :: dst_iter, src_iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. dbcsr_valid_index(matrix_b)) &\n DBCSR_ABORT(\"Matrix_b is not valid\")\n IF (dbcsr_get_data_type(matrix_b) .NE. dbcsr_get_data_type(matrix_a)) &\n DBCSR_ABORT(\"Matrices have different data types.\")\n data_type = dbcsr_get_data_type(matrix_b)\n neg_real = matrix_b%negate_real\n neg_imag = matrix_b%negate_imaginary\n making_symmetric = dbcsr_has_symmetry(matrix_b) &\n .AND. .NOT. dbcsr_has_symmetry(matrix_a)\n IF (making_symmetric) THEN\n CALL dbcsr_copy_into_existing_sym(matrix_b, matrix_a)\n CALL timestop(handle)\n RETURN\n END IF\n CALL dbcsr_data_init(src_data)\n CALL dbcsr_data_init(dst_data)\n CALL dbcsr_data_new(src_data, data_type)\n CALL dbcsr_data_new(dst_data, data_type)\n CALL dbcsr_iterator_start(src_iter, matrix_a)\n CALL dbcsr_iterator_start(dst_iter, matrix_b)\n ! Iterate through the blocks of the source and destination\n ! matrix. There are three possibilities: 1. copy the data for\n ! blocks present in both; 2 skip source blocks not present in the\n ! target; 3 zero blocks not present in the source.\n IF (dbcsr_iterator_blocks_left(src_iter)) THEN\n CALL dbcsr_iterator_next_block(src_iter, src_row, src_col, src_data, &\n src_tr)\n ELSE\n src_row = 0; src_col = 0\n END IF\n DO WHILE (dbcsr_iterator_blocks_left(dst_iter))\n CALL dbcsr_iterator_next_block(dst_iter, dst_row, dst_col, dst_data, &\n dst_tr, row_size=row_size, col_size=col_size)\n ! Now find the source position that is greater or equal to the\n ! target one. I.e, skip blocks that the target doesn't have.\n rel = pos_relation(dst_row, dst_col, src_row, src_col)\n DO WHILE (rel .EQ. 1 .AND. dbcsr_iterator_blocks_left(src_iter))\n CALL dbcsr_iterator_next_block(src_iter, src_row, src_col, &\n src_data, src_tr, row_size=src_rs, col_size=src_cs)\n rel = pos_relation(dst_row, dst_col, src_row, src_col)\n END DO\n SELECT CASE (rel)\n CASE (-1, 1)\n ! Target lags source or ran out of source\n CALL dbcsr_data_clear(dst_data)\n CASE (0)\n ! Copy the data\n IF (dbcsr_data_get_size(src_data) .NE. dbcsr_data_get_size(dst_data)) &\n DBCSR_ABORT(\"Block sizes not equal!\")\n IF (src_tr .EQV. dst_tr) THEN\n CALL dbcsr_data_copyall(dst_data, src_data)\n ELSE\n CALL dbcsr_block_partial_copy(dst=dst_data, dst_tr=dst_tr, &\n dst_rs=row_size, dst_cs=col_size, &\n dst_r_lb=1, dst_c_lb=1, &\n src=src_data, src_tr=src_tr, &\n src_rs=src_rs, src_cs=src_cs, &\n src_r_lb=1, src_c_lb=1, &\n nrow=row_size, ncol=col_size)\n IF (neg_real) THEN\n CALL dbcsr_block_real_neg(dst_data, row_size, col_size)\n END IF\n IF (neg_imag) THEN\n CALL dbcsr_block_conjg(dst_data, row_size, col_size)\n END IF\n END IF\n CASE default\n DBCSR_ABORT(\"Trouble syncing iterators\")\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(src_iter)\n CALL dbcsr_iterator_stop(dst_iter)\n CALL dbcsr_data_clear_pointer(src_data)\n CALL dbcsr_data_clear_pointer(dst_data)\n CALL dbcsr_data_release(src_data)\n CALL dbcsr_data_release(dst_data)\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_copy_into_existing\n\n SUBROUTINE dbcsr_copy_into_existing_sym(matrix_b, matrix_a)\n !! copy a matrix, retaining current sparsity\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_b\n !! target DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n !! source DBCSR matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_copy_into_existing_sym'\n\n INTEGER :: col_size, data_type, dst_col, dst_row, &\n handle, row_size, src_col, src_cs, &\n src_row, src_rs\n LOGICAL :: dst_tr, found, neg_imag, neg_real, src_tr\n TYPE(dbcsr_data_obj) :: dst_data, src_data\n TYPE(dbcsr_iterator) :: dst_iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (dbcsr_get_data_type(matrix_b) .NE. dbcsr_get_data_type(matrix_a)) &\n DBCSR_ABORT(\"Matrices have different data types.\")\n data_type = dbcsr_get_data_type(matrix_b)\n IF (.NOT. dbcsr_has_symmetry(matrix_b) .OR. dbcsr_has_symmetry(matrix_a)) &\n DBCSR_ABORT(\"Must copy from non-symmetric to symmetric matrix.\")\n neg_real = matrix_b%negate_real\n neg_imag = matrix_b%negate_imaginary\n\n CALL dbcsr_data_init(src_data)\n CALL dbcsr_data_init(dst_data)\n CALL dbcsr_data_new(src_data, data_type)\n CALL dbcsr_data_new(dst_data, data_type)\n CALL dbcsr_iterator_start(dst_iter, matrix_b)\n ! Iterate through the blocks of the destination matrix. For each\n ! one, try to find an appropriate source matrix block and copy it\n ! into the destination matrix.\n DO WHILE (dbcsr_iterator_blocks_left(dst_iter))\n CALL dbcsr_iterator_next_block(dst_iter, dst_row, dst_col, dst_data, &\n dst_tr, row_size=row_size, col_size=col_size)\n src_row = dst_row\n src_col = dst_col\n IF (checker_tr(dst_row, dst_col)) &\n CALL swap(src_row, src_col)\n CALL dbcsr_get_block_p(matrix_a, src_row, src_col, src_data, src_tr, &\n found=found, row_size=src_rs, col_size=src_cs)\n IF (.NOT. found) THEN\n CALL dbcsr_data_clear(dst_data)\n ELSE\n IF (dbcsr_data_get_size(src_data) .NE. dbcsr_data_get_size(dst_data)) THEN\n DBCSR_ABORT(\"Block sizes not equal!\")\n END IF\n IF (checker_tr(dst_row, dst_col)) THEN\n src_tr = .NOT. src_tr\n CALL swap(src_rs, src_cs)\n END IF\n CALL dbcsr_block_partial_copy(dst=dst_data, dst_tr=dst_tr, &\n dst_rs=row_size, dst_cs=col_size, &\n dst_r_lb=1, dst_c_lb=1, &\n src=src_data, src_tr=src_tr, &\n src_rs=src_rs, src_cs=src_cs, &\n src_r_lb=1, src_c_lb=1, &\n nrow=row_size, ncol=col_size)\n IF (neg_real .AND. checker_tr(dst_row, dst_col)) THEN\n CALL dbcsr_block_real_neg(dst_data, row_size, col_size)\n END IF\n IF (neg_imag .AND. checker_tr(dst_row, dst_col)) THEN\n CALL dbcsr_block_conjg(dst_data, row_size, col_size)\n END IF\n END IF\n END DO\n CALL dbcsr_iterator_stop(dst_iter)\n CALL dbcsr_data_clear_pointer(src_data)\n CALL dbcsr_data_clear_pointer(dst_data)\n CALL dbcsr_data_release(src_data)\n CALL dbcsr_data_release(dst_data)\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_copy_into_existing_sym\n\n ELEMENTAL FUNCTION pos_relation(row1, col1, row2, col2) RESULT(relation)\n !! Determines the relation between two matrix positions.\n\n INTEGER, INTENT(IN) :: row1, col1, row2, col2\n INTEGER :: relation\n !! Relation between positions 1 and 2. 0: same -1: pos1 < pos2 1: pos1 > pos2\n\n IF (row1 .LT. row2) THEN\n relation = -1\n ELSEIF (row1 .GT. row2) THEN\n relation = 1\n ELSE ! rows are equal, check column\n IF (col1 .LT. col2) THEN\n relation = -1\n ELSEIF (col1 .GT. col2) THEN\n relation = 1\n ELSE\n relation = 0\n END IF\n END IF\n END FUNCTION pos_relation\n\n SUBROUTINE dbcsr_copy_submatrix(matrix_b, matrix_a, name, &\n block_row_bounds, block_column_bounds, &\n shallow_data)\n !! Copy a submatrix.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_b\n !! target DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n !! source DBCSR matrix\n CHARACTER(LEN=*), INTENT(IN), OPTIONAL :: name\n !! name of the new matrix\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: block_row_bounds, block_column_bounds\n !! rows to extract (array of size 2 holding the lower and upper inclusive bounds)\n !! columns to extract (array of size 2 holding the lower and upper inclusive bounds)\n LOGICAL, INTENT(IN), OPTIONAL :: shallow_data\n !! shallow data copy\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_copy_submatrix'\n\n INTEGER :: blk_p, col, handle, nblocks, new_blk, &\n old_blk, row\n INTEGER, ALLOCATABLE, DIMENSION(:) :: blkp_list, col_list, row_list\n LOGICAL :: shallow, tr\n TYPE(dbcsr_data_obj) :: data_block\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (PRESENT(shallow_data)) THEN\n shallow = shallow_data\n ELSE\n shallow = .FALSE.\n END IF\n ! Verify assumptions.\n IF (PRESENT(block_row_bounds)) THEN\n IF (SIZE(block_row_bounds) /= 2) &\n DBCSR_ABORT(\"Size of bounds specifier must be 2\")\n END IF\n IF (PRESENT(block_column_bounds)) THEN\n IF (SIZE(block_column_bounds) /= 2) &\n DBCSR_ABORT(\"Size of bounds specifier must be 2\")\n END IF\n ! Setup target matrix\n CALL dbcsr_create(matrix_b, name=name, template=matrix_a)\n CALL dbcsr_finalize(matrix_b)\n IF (.NOT. shallow) THEN\n ! Non-shallow copy uses the standard iterator on the source and\n ! block put on the target.\n!\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP PRIVATE (data_block, iter, row, col, tr) &\n!$OMP SHARED (matrix_a, matrix_b,&\n!$OMP block_row_bounds, block_column_bounds)\n CALL dbcsr_work_create(matrix_b, work_mutable=.FALSE.)\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(data_block, dbcsr_get_data_type(matrix_a))\n CALL dbcsr_iterator_start(iter, matrix_a, dynamic=.TRUE., &\n dynamic_byrows=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, data_block, tr)\n ! Only keep the block if they are within the specified bounds.\n IF (PRESENT(block_row_bounds)) THEN\n IF (row .LT. block_row_bounds(1)) CYCLE\n IF (row .GT. block_row_bounds(2)) CYCLE\n END IF\n IF (PRESENT(block_column_bounds)) THEN\n IF (col .LT. block_column_bounds(1)) CYCLE\n IF (col .GT. block_column_bounds(2)) CYCLE\n END IF\n CALL dbcsr_put_block(matrix_b, row, col, data_block, transposed=tr)\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_data_release(data_block)\n CALL dbcsr_finalize(matrix_b)\n!$OMP END PARALLEL\n ELSE\n ! For the shallow copy the source matrix data is referenced.\n CALL dbcsr_switch_data_area(matrix_b, matrix_a%data_area)\n nblocks = dbcsr_get_num_blocks(matrix_a) ! High estimate.\n ! Shallow copy goes through source's data blocks and inserts\n ! the only the ones corresponding to the submatrix specifier\n ! into the target. Block pointers must remain the same as in\n ! the source.\n ALLOCATE (row_list(nblocks), col_list(nblocks), blkp_list(nblocks))\n !\n CALL dbcsr_iterator_start(iter, matrix_a)\n new_blk = 1\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, &\n blk=old_blk, blk_p=blk_p)\n ! Only keep the block if they are within the specified bounds.\n IF (PRESENT(block_row_bounds)) THEN\n IF (row .LT. block_row_bounds(1)) CYCLE\n IF (row .GT. block_row_bounds(2)) CYCLE\n END IF\n IF (PRESENT(block_column_bounds)) THEN\n IF (col .LT. block_column_bounds(1)) CYCLE\n IF (col .GT. block_column_bounds(2)) CYCLE\n END IF\n row_list(new_blk) = row\n col_list(new_blk) = col\n blkp_list(new_blk) = blk_p\n new_blk = new_blk + 1\n END DO\n new_blk = new_blk - 1\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_reserve_blocks(matrix_b, row_list(1:new_blk), &\n col_list(1:new_blk), blkp_list(1:new_blk))\n END IF\n !\n CALL timestop(handle)\n END SUBROUTINE dbcsr_copy_submatrix\n\n SUBROUTINE dbcsr_crop_matrix(matrix_b, matrix_a, &\n full_row_bounds, full_column_bounds, &\n shallow_data)\n !! Crop and copies a matrix.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_b\n !! target DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n !! source DBCSR matrix\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: full_row_bounds, full_column_bounds\n !! rows to extract (array of size 2 holding the lower and upper inclusive bounds)\n !! columns to extract (array of size 2 holding the lower and upper inclusive bounds)\n LOGICAL, INTENT(IN), OPTIONAL :: shallow_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_crop_matrix'\n\n INTEGER :: col, f_col_f, f_row_f, handle, l_col_l, &\n l_row_l, row\n INTEGER, DIMENSION(2) :: block_col_bounds, block_row_bounds\n LOGICAL :: part_col, part_f_col, part_f_row, &\n part_l_col, part_l_row, part_row, &\n shallow, tr\n TYPE(dbcsr_data_obj) :: data_block\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n part_l_col = .FALSE.\n part_f_col = .FALSE.\n part_l_row = .FALSE.\n part_f_row = .FALSE.\n IF (PRESENT(shallow_data)) THEN\n shallow = shallow_data\n ELSE\n shallow = .FALSE.\n END IF\n block_row_bounds = 0\n block_col_bounds = 0\n part_col = .FALSE.\n part_row = .FALSE.\n !\n ! If row bounds are present, they must be converted to block\n ! addressing.\n IF (PRESENT(full_row_bounds)) THEN\n IF (SIZE(full_row_bounds) /= 2) &\n DBCSR_ABORT(\"Size of bounds specifier must be 2\")\n IF (full_row_bounds(1) < 0) &\n DBCSR_ABORT(\"Invalid first row bound.\")\n IF (full_row_bounds(2) > dbcsr_nfullrows_total(matrix_a)) &\n DBCSR_ABORT(\"Invalid last row bound.\")\n IF (full_row_bounds(1) .EQ. 0) THEN\n block_row_bounds(1) = 1\n ELSE\n CALL find_block_of_element(full_row_bounds(1), block_row_bounds(1), &\n dbcsr_nblkrows_total(matrix_a), &\n dbcsr_row_block_offsets(matrix_a), &\n hint=0)\n part_f_row = array_get(dbcsr_row_block_offsets(matrix_a), block_row_bounds(1)) &\n .NE. full_row_bounds(1)\n END IF\n f_row_f = -7\n IF (part_f_row) THEN\n ! Block offset of last cleared row\n f_row_f = full_row_bounds(1) - &\n array_get(dbcsr_row_block_offsets(matrix_a), block_row_bounds(1))\n END IF\n IF (full_row_bounds(2) .EQ. 0) THEN\n block_row_bounds(2) = dbcsr_nblkrows_total(matrix_a)\n ELSE\n CALL find_block_of_element(full_row_bounds(2), block_row_bounds(2), &\n dbcsr_nblkrows_total(matrix_a), &\n dbcsr_row_block_offsets(matrix_a), &\n hint=0)\n part_l_row = array_get(dbcsr_row_block_offsets(matrix_a), block_row_bounds(2) + 1) - 1 &\n .NE. full_row_bounds(2)\n END IF\n ! Block offset of first cleared row\n l_row_l = -7\n IF (part_l_row) THEN\n l_row_l = 2 + full_row_bounds(2) - &\n array_get(dbcsr_row_block_offsets(matrix_a), block_row_bounds(2))\n END IF\n part_row = part_f_row .OR. part_l_row\n END IF\n !\n ! If column bounds are present, they must be converted to block\n ! addressing.\n IF (PRESENT(full_column_bounds)) THEN\n IF (SIZE(full_column_bounds) /= 2) &\n DBCSR_ABORT(\"Size of bounds specifier must be 2\")\n IF (full_column_bounds(1) < 0) &\n DBCSR_ABORT(\"Invalid first column bound.\")\n IF (full_column_bounds(2) > dbcsr_nfullcols_total(matrix_a)) &\n DBCSR_ABORT(\"Invalid last column bound.\")\n IF (full_column_bounds(1) .EQ. 0) THEN\n block_col_bounds(1) = 1\n ELSE\n CALL find_block_of_element(full_column_bounds(1), block_col_bounds(1), &\n dbcsr_nblkcols_total(matrix_a), &\n dbcsr_col_block_offsets(matrix_a), &\n hint=0)\n part_f_col = array_get(dbcsr_col_block_offsets(matrix_a), block_col_bounds(1)) &\n .NE. full_column_bounds(1)\n END IF\n f_col_f = -7\n IF (part_f_col) THEN\n ! Block offset of last cleared column\n f_col_f = full_column_bounds(1) - &\n array_get(dbcsr_col_block_offsets(matrix_a), block_col_bounds(1))\n END IF\n IF (full_column_bounds(2) .EQ. 0) THEN\n block_col_bounds(2) = dbcsr_nblkcols_total(matrix_a)\n ELSE\n CALL find_block_of_element(full_column_bounds(2), block_col_bounds(2), &\n dbcsr_nblkcols_total(matrix_a), &\n dbcsr_col_block_offsets(matrix_a), &\n hint=0)\n part_l_col = array_get(dbcsr_col_block_offsets(matrix_a), block_col_bounds(2) + 1) - 1 &\n .NE. full_column_bounds(2)\n END IF\n l_col_l = -7\n IF (part_l_col) THEN\n ! Block offset of first cleared column\n l_col_l = 2 + full_column_bounds(2) - &\n array_get(dbcsr_col_block_offsets(matrix_a), block_col_bounds(2))\n END IF\n part_col = part_f_col .OR. part_l_col\n END IF\n !\n ! First copy the blocks then perform the intra-block zeroing.\n CALL dbcsr_copy_submatrix(matrix_b, matrix_a, &\n block_row_bounds=block_row_bounds, &\n block_column_bounds=block_col_bounds, &\n shallow_data=shallow)\n IF (part_row .OR. part_col) THEN\n!$OMP PARALLEL DEFAULT (NONE) &\n!$OMP PRIVATE (data_block, iter, row, col, tr) &\n!$OMP SHARED (matrix_b,&\n!$OMP part_row, part_f_row, part_l_row, f_row_f, l_row_l, &\n!$OMP part_col, part_f_col, part_l_col, f_col_f, l_col_l,&\n!$OMP block_row_bounds, block_col_bounds)\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(data_block, dbcsr_type_1d_to_2d(dbcsr_get_data_type(matrix_b)))\n CALL dbcsr_iterator_start(iter, matrix_b, &\n dynamic=.TRUE., dynamic_byrows=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, data_block, tr)\n IF (part_row) THEN\n IF (row .LT. block_row_bounds(1)) CYCLE\n IF (row .GT. block_row_bounds(2)) CYCLE\n END IF\n IF (part_col) THEN\n IF (col .LT. block_col_bounds(1)) CYCLE\n IF (col .GT. block_col_bounds(2)) CYCLE\n END IF\n IF (part_row) THEN\n IF (part_f_row .AND. row .EQ. block_row_bounds(1)) THEN\n CALL dbcsr_data_clear(data_block, ub=f_row_f, tr=tr)\n END IF\n IF (part_l_row .AND. row .EQ. block_row_bounds(2)) THEN\n CALL dbcsr_data_clear(data_block, lb=l_row_l, tr=tr)\n END IF\n END IF\n IF (part_col) THEN\n IF (part_f_col .AND. col .EQ. block_col_bounds(1)) THEN\n CALL dbcsr_data_clear(data_block, ub2=f_col_f, tr=tr)\n END IF\n IF (part_l_col .AND. col .EQ. block_col_bounds(2)) THEN\n CALL dbcsr_data_clear(data_block, lb2=l_col_l, tr=tr)\n END IF\n END IF\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_data_release(data_block)\n CALL dbcsr_finalize(matrix_b)\n!$OMP END PARALLEL\n END IF\n !\n CALL timestop(handle)\n END SUBROUTINE dbcsr_crop_matrix\n\n SUBROUTINE dbcsr_triu(matrix_a)\n !! triu of a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n !! the matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_triu'\n INTEGER :: blk, blk_nze, col, col_size, handle, i, &\n j, row, row_size\n LOGICAL :: tr\n REAL(dp), DIMENSION(:, :), POINTER :: DATA\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n CALL dbcsr_iterator_start(iter, matrix_a)\n\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, DATA, tr, &\n block_number=blk, row_size=row_size, col_size=col_size)\n blk_nze = row_size*col_size\n IF (row .GT. col) CALL dbcsr_remove_block(matrix_a, row, col, blk_nze, blk)\n IF (row .EQ. col) THEN\n DO j = 1, col_size\n DO i = j + 1, row_size\n DATA(i, j) = 0.0_dp\n END DO\n END DO\n END IF\n END DO\n\n CALL dbcsr_iterator_stop(iter)\n\n CALL dbcsr_finalize(matrix_a)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_triu\n\n SUBROUTINE dbcsr_filter_anytype(matrix, eps, method, &\n use_absolute, filter_diag)\n !! filter a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! the matrix\n TYPE(dbcsr_scalar_type), INTENT(IN) :: eps\n !! the threshold\n INTEGER, INTENT(IN), OPTIONAL :: method\n !! how the matrix is filtered\n LOGICAL, INTENT(in), OPTIONAL :: use_absolute, filter_diag\n !! NYI\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_filter_anytype'\n\n COMPLEX(KIND=real_4), DIMENSION(:), POINTER :: data_c\n COMPLEX(KIND=real_8), DIMENSION(:), POINTER :: data_z\n INTEGER :: blk, blk_nze, col, col_size, handle, &\n my_method, row, row_size, data_type\n LOGICAL :: gt0, my_filter_diag, tr\n REAL(KIND=real_4) :: nrm_s\n REAL(KIND=real_4), DIMENSION(:), POINTER :: data_s\n REAL(KIND=real_8) :: my_absolute, nrm_d\n REAL(KIND=real_8), DIMENSION(:), POINTER :: data_d\n TYPE(dbcsr_iterator) :: iter\n\n REAL(KIND=real_8), EXTERNAL :: DZNRM2\n#if defined (__ACCELERATE)\n REAL(KIND=real_8), EXTERNAL :: SCNRM2\n#else\n REAL(KIND=real_4), EXTERNAL :: SCNRM2\n#endif\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n my_method = dbcsr_filter_frobenius\n IF (PRESENT(method)) my_method = method\n my_absolute = 1.0_dp\n IF (PRESENT(use_absolute)) my_absolute = dbcsr_maxabs(matrix)\n my_filter_diag = .TRUE.\n IF (PRESENT(filter_diag)) my_filter_diag = filter_diag\n\n SELECT CASE (eps%data_type)\n CASE (dbcsr_type_real_4)\n gt0 = eps%r_sp .GT. 0.0_real_4\n CASE (dbcsr_type_real_8)\n gt0 = eps%r_dp .GT. 0.0_real_8\n CASE (dbcsr_type_complex_4)\n gt0 = ABS(eps%c_sp) .GT. 0.0_real_4\n CASE (dbcsr_type_complex_8)\n gt0 = ABS(eps%c_dp) .GT. 0.0_real_8\n CASE default\n gt0 = .FALSE.\n END SELECT\n\n IF (gt0) THEN\n data_type = dbcsr_get_data_type(matrix)\n\n!$OMP PARALLEL DEFAULT(NONE) PRIVATE(iter,row,col,data_s,data_d,data_c,data_z,tr, &\n!$OMP blk,row_size,col_size,blk_nze,nrm_d,nrm_s) &\n!$OMP SHARED(my_method,my_absolute,eps,matrix,data_type)\n\n CALL dbcsr_iterator_start(iter, matrix, contiguous_pointers=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n SELECT CASE (data_type)\n\n CASE (dbcsr_type_real_4)\n CALL dbcsr_iterator_next_block(iter, row, col, data_s, tr, blk, &\n row_size, col_size)\n blk_nze = row_size*col_size\n IF (blk_nze .EQ. 0) CYCLE ! Skip empty blocks\n SELECT CASE (my_method)\n CASE (dbcsr_filter_frobenius)\n !\n ! Frobenius based\n nrm_s = norm2(data_s)\n IF (nrm_s .LT. my_absolute*eps%r_sp) &\n CALL dbcsr_remove_block(matrix, row, col, blk_nze, blk)\n CASE DEFAULT\n DBCSR_ABORT(\"Only Frobenius based filtering\")\n END SELECT\n\n CASE (dbcsr_type_real_8)\n CALL dbcsr_iterator_next_block(iter, row, col, data_d, tr, blk, &\n row_size, col_size)\n blk_nze = row_size*col_size\n IF (blk_nze .EQ. 0) CYCLE ! Skip empty blocks\n SELECT CASE (my_method)\n CASE (dbcsr_filter_frobenius)\n !\n ! Frobenius based\n nrm_d = norm2(data_d)\n IF (nrm_d .LT. my_absolute*eps%r_dp) &\n CALL dbcsr_remove_block(matrix, row, col, blk_nze, blk)\n CASE DEFAULT\n DBCSR_ABORT(\"Only Frobenius based filtering\")\n END SELECT\n\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_iterator_next_block(iter, row, col, data_c, tr, blk, &\n row_size, col_size)\n blk_nze = row_size*col_size\n IF (blk_nze .EQ. 0) CYCLE ! Skip empty blocks\n SELECT CASE (my_method)\n CASE (dbcsr_filter_frobenius)\n !\n ! Frobenius based\n nrm_d = SCNRM2(SIZE(data_c), data_c(1), 1)\n IF (nrm_d .LT. my_absolute*eps%r_dp) &\n CALL dbcsr_remove_block(matrix, row, col, blk_nze, blk)\n CASE DEFAULT\n DBCSR_ABORT(\"Only Frobenius based filtering\")\n END SELECT\n\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_iterator_next_block(iter, row, col, data_z, tr, blk, &\n row_size, col_size)\n blk_nze = row_size*col_size\n IF (blk_nze .EQ. 0) CYCLE ! Skip empty blocks\n SELECT CASE (my_method)\n CASE (dbcsr_filter_frobenius)\n !\n ! Frobenius based\n nrm_d = DZNRM2(SIZE(data_z), data_z(1), 1)\n IF (nrm_d .LT. my_absolute*eps%r_dp) &\n CALL dbcsr_remove_block(matrix, row, col, blk_nze, blk)\n CASE DEFAULT\n DBCSR_ABORT(\"Only Frobenius based filtering\")\n END SELECT\n\n CASE DEFAULT\n DBCSR_ABORT(\"Wrong data type\")\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_finalize(matrix, reshuffle=.TRUE.)\n!$OMP END PARALLEL\n\n CALL dbcsr_index_compact(matrix)\n\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_filter_anytype\n\n SUBROUTINE dbcsr_norm_scalar(matrix, which_norm, norm_scalar)\n !! compute a norm of a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! the matrix\n INTEGER, INTENT(IN) :: which_norm\n REAL(KIND=real_8), INTENT(OUT) :: norm_scalar\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_norm_scalar'\n\n INTEGER :: handle\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n SELECT CASE (which_norm)\n CASE (dbcsr_norm_frobenius)\n norm_scalar = dbcsr_frobenius_norm(matrix)\n CASE (dbcsr_norm_maxabsnorm)\n norm_scalar = dbcsr_maxabs(matrix)\n CASE (dbcsr_norm_gershgorin)\n norm_scalar = dbcsr_gershgorin_norm(matrix)\n CASE DEFAULT\n DBCSR_ABORT(\"this norm is NYI\")\n END SELECT\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_norm_r8_vec(matrix, which_norm, norm_vector)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n INTEGER, INTENT(IN) :: which_norm\n REAL(KIND=real_8), DIMENSION(:), INTENT(OUT), &\n TARGET, CONTIGUOUS :: norm_vector\n\n REAL(KIND=real_8), DIMENSION(:), POINTER, CONTIGUOUS :: v_p\n TYPE(dbcsr_data_obj) :: norm_vector_a\n\n CALL dbcsr_data_init(norm_vector_a)\n CALL dbcsr_data_new(norm_vector_a, dbcsr_type_real_8)\n v_p => norm_vector\n CALL dbcsr_data_set_pointer(norm_vector_a, v_p)\n CALL dbcsr_norm_vec(matrix, which_norm, norm_vector_a)\n CALL dbcsr_data_clear_pointer(norm_vector_a)\n CALL dbcsr_data_release(norm_vector_a)\n\n END SUBROUTINE dbcsr_norm_r8_vec\n\n SUBROUTINE dbcsr_norm_vec(matrix, which_norm, norm_vector)\n !! compute the column norms of the dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! the matrix\n INTEGER, INTENT(IN) :: which_norm\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: norm_vector\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_norm_vec'\n\n INTEGER :: blk, col, col_offset, i, j, row, &\n row_offset, handle\n LOGICAL :: tr\n TYPE(dbcsr_data_obj) :: data_a\n TYPE(dbcsr_iterator) :: iter\n\n CALL timeset(routineN, handle)\n\n SELECT CASE (which_norm)\n CASE (dbcsr_norm_column)\n IF (dbcsr_data_get_type(norm_vector) /= dbcsr_get_data_type(matrix)) &\n DBCSR_ABORT(\"Mismatched vector/matrix data types\")\n IF (dbcsr_has_symmetry(matrix)) THEN\n IF (dbcsr_data_get_size(norm_vector) < dbcsr_nfullrows_total(matrix)) &\n DBCSR_ABORT(\"Passed vector too small\")\n END IF\n IF (dbcsr_data_get_size(norm_vector) < dbcsr_nfullcols_total(matrix)) &\n DBCSR_ABORT(\"Passed vector too small\")\n CALL dbcsr_data_init(data_a)\n CALL dbcsr_data_new(data_a, dbcsr_type_1d_to_2d(dbcsr_get_data_type(matrix)))\n CALL dbcsr_data_clear(norm_vector)\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, data_a, tr, &\n blk, row_offset=row_offset, col_offset=col_offset)\n SELECT CASE (dbcsr_get_data_type(matrix))\n CASE (dbcsr_type_real_4)\n IF (dbcsr_has_symmetry(matrix) .AND. row .NE. col) THEN\n DO j = 1, SIZE(data_a%d%r2_sp, 2)\n DO i = 1, SIZE(data_a%d%r2_sp, 1)\n norm_vector%d%r_sp(col_offset + j - 1) &\n = norm_vector%d%r_sp(col_offset + j - 1) &\n + data_a%d%r2_sp(i, j)**2\n norm_vector%d%r_sp(row_offset + i - 1) &\n = norm_vector%d%r_sp(row_offset + i - 1) &\n + data_a%d%r2_sp(i, j)**2\n END DO\n END DO\n ELSE\n DO j = 1, SIZE(data_a%d%r2_sp, 2)\n DO i = 1, SIZE(data_a%d%r2_sp, 1)\n norm_vector%d%r_sp(col_offset + j - 1) &\n = norm_vector%d%r_sp(col_offset + j - 1) &\n + data_a%d%r2_sp(i, j)*data_a%d%r2_sp(i, j)\n END DO\n END DO\n END IF\n CASE (dbcsr_type_real_8)\n IF (dbcsr_has_symmetry(matrix) .AND. row .NE. col) THEN\n DO j = 1, SIZE(data_a%d%r2_dp, 2)\n DO i = 1, SIZE(data_a%d%r2_dp, 1)\n norm_vector%d%r_dp(col_offset + j - 1) &\n = norm_vector%d%r_dp(col_offset + j - 1) &\n + data_a%d%r2_dp(i, j)**2\n norm_vector%d%r_dp(row_offset + i - 1) &\n = norm_vector%d%r_dp(row_offset + i - 1) &\n + data_a%d%r2_dp(i, j)**2\n END DO\n END DO\n ELSE\n DO j = 1, SIZE(data_a%d%r2_dp, 2)\n DO i = 1, SIZE(data_a%d%r2_dp, 1)\n norm_vector%d%r_dp(col_offset + j - 1) &\n = norm_vector%d%r_dp(col_offset + j - 1) &\n + data_a%d%r2_dp(i, j)*data_a%d%r2_dp(i, j)\n END DO\n END DO\n END IF\n CASE DEFAULT\n DBCSR_ABORT(\"Only real values\")\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_a)\n CALL dbcsr_data_release(data_a)\n SELECT CASE (dbcsr_get_data_type(matrix))\n CASE (dbcsr_type_real_4)\n CALL mp_sum(norm_vector%d%r_sp, &\n dbcsr_mp_group(dbcsr_distribution_mp(matrix%dist)))\n norm_vector%d%r_sp = SQRT(norm_vector%d%r_sp)\n CASE (dbcsr_type_real_8)\n CALL mp_sum(norm_vector%d%r_dp, &\n dbcsr_mp_group(dbcsr_distribution_mp(matrix%dist)))\n norm_vector%d%r_dp = SQRT(norm_vector%d%r_dp)\n END SELECT\n\n CASE DEFAULT\n DBCSR_ABORT(\"this norm is NYI\")\n END SELECT\n CALL timestop(handle)\n END SUBROUTINE dbcsr_norm_vec\n\n FUNCTION dbcsr_gershgorin_norm(matrix) RESULT(norm)\n !! compute a norm of a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! the matrix\n REAL(KIND=real_8) :: norm\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_gershgorin_norm'\n\n COMPLEX(KIND=real_4), DIMENSION(:, :), POINTER :: data_c\n COMPLEX(KIND=real_8), DIMENSION(:, :), POINTER :: data_z\n INTEGER :: blk, col, col_offset, handle, i, j, nc, &\n nr, row, row_offset\n LOGICAL :: any_sym, tr\n REAL(KIND=real_4), DIMENSION(:, :), POINTER :: data_r\n REAL(KIND=real_8), DIMENSION(:, :), POINTER :: data_d\n REAL(real_8), ALLOCATABLE, DIMENSION(:) :: buff_d\n TYPE(dbcsr_iterator) :: iter\n\n CALL timeset(routineN, handle)\n\n nr = dbcsr_nfullrows_total(matrix)\n nc = dbcsr_nfullcols_total(matrix)\n\n any_sym = dbcsr_get_matrix_type(matrix) .EQ. dbcsr_type_symmetric .OR. &\n dbcsr_get_matrix_type(matrix) .EQ. dbcsr_type_antisymmetric\n\n IF (nr .NE. nc) &\n DBCSR_ABORT(\"not a square matrix\")\n\n norm = 0.0_dp\n ALLOCATE (buff_d(nr))\n buff_d = 0.0_dp\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n SELECT CASE (dbcsr_get_data_type(matrix))\n CASE (dbcsr_type_real_4)\n CALL dbcsr_iterator_next_block(iter, row, col, data_r, tr, blk, &\n row_offset=row_offset, col_offset=col_offset)\n DO j = 1, SIZE(data_r, 2)\n DO i = 1, SIZE(data_r, 1)\n buff_d(row_offset + i - 1) = buff_d(row_offset + i - 1) + ABS(data_r(i, j))\n IF (any_sym .AND. row .NE. col) &\n buff_d(col_offset + j - 1) = buff_d(col_offset + j - 1) + ABS(data_r(i, j))\n END DO\n END DO\n CASE (dbcsr_type_real_8)\n CALL dbcsr_iterator_next_block(iter, row, col, data_d, tr, blk, &\n row_offset=row_offset, col_offset=col_offset)\n DO j = 1, SIZE(data_d, 2)\n DO i = 1, SIZE(data_d, 1)\n buff_d(row_offset + i - 1) = buff_d(row_offset + i - 1) + ABS(data_d(i, j))\n IF (any_sym .AND. row .NE. col) &\n buff_d(col_offset + j - 1) = buff_d(col_offset + j - 1) + ABS(data_d(i, j))\n END DO\n END DO\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_iterator_next_block(iter, row, col, data_c, tr, blk, &\n row_offset=row_offset, col_offset=col_offset)\n DO j = 1, SIZE(data_c, 2)\n DO i = 1, SIZE(data_c, 1)\n buff_d(row_offset + i - 1) = buff_d(row_offset + i - 1) + ABS(data_c(i, j))\n IF (any_sym .AND. row .NE. col) &\n DBCSR_ABORT(\"Only nonsymmetric matrix so far\")\n ! buff_d(col_offset+j-1) = buff_d(col_offset+j-1) + ABS(data_c(i,j))\n END DO\n END DO\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_iterator_next_block(iter, row, col, data_z, tr, blk, &\n row_offset=row_offset, col_offset=col_offset)\n DO j = 1, SIZE(data_z, 2)\n DO i = 1, SIZE(data_z, 1)\n buff_d(row_offset + i - 1) = buff_d(row_offset + i - 1) + ABS(data_z(i, j))\n IF (any_sym .AND. row .NE. col) &\n DBCSR_ABORT(\"Only nonsymmetric matrix so far\")\n ! buff_d(col_offset+j-1) = buff_d(col_offset+j-1) + ABS(data_z(i,j))\n END DO\n END DO\n CASE DEFAULT\n DBCSR_ABORT(\"Wrong data type\")\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL mp_sum(buff_d, dbcsr_mp_group(dbcsr_distribution_mp(matrix%dist)))\n norm = MAXVAL(buff_d)\n DEALLOCATE (buff_d)\n\n CALL timestop(handle)\n\n END FUNCTION dbcsr_gershgorin_norm\n\n FUNCTION dbcsr_maxabs(matrix) RESULT(norm)\n !! compute a norm of a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! the matrix\n REAL(real_8) :: norm\n\n COMPLEX(KIND=real_4), DIMENSION(:, :), POINTER :: data_c\n COMPLEX(KIND=real_8), DIMENSION(:, :), POINTER :: data_z\n INTEGER :: blk, col, row\n LOGICAL :: tr\n REAL(KIND=real_4), DIMENSION(:, :), POINTER :: data_r\n REAL(KIND=real_8), DIMENSION(:, :), POINTER :: data_d\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n norm = 0.0_dp\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n SELECT CASE (dbcsr_get_data_type(matrix))\n CASE (dbcsr_type_real_4)\n CALL dbcsr_iterator_next_block(iter, row, col, data_r, tr, blk)\n norm = MAX(norm, REAL(MAXVAL(ABS(data_r)), dp))\n CASE (dbcsr_type_real_8)\n CALL dbcsr_iterator_next_block(iter, row, col, data_d, tr, blk)\n norm = MAX(norm, MAXVAL(ABS(data_d)))\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_iterator_next_block(iter, row, col, data_c, tr, blk)\n norm = MAX(norm, REAL(MAXVAL(ABS(data_c)), dp))\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_iterator_next_block(iter, row, col, data_z, tr, blk)\n norm = MAX(norm, MAXVAL(ABS(data_z)))\n CASE DEFAULT\n DBCSR_ABORT(\"Wrong data type\")\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n CALL mp_max(norm, dbcsr_mp_group(dbcsr_distribution_mp(matrix%dist)))\n\n END FUNCTION dbcsr_maxabs\n\n FUNCTION dbcsr_frobenius_norm(matrix, local) RESULT(norm)\n !! compute a norm of a dbcsr matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! the matrix\n LOGICAL, INTENT(in), OPTIONAL :: local\n REAL(KIND=real_8) :: norm\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_frobenius_norm'\n\n COMPLEX(KIND=real_4), DIMENSION(:, :), POINTER :: data_c\n COMPLEX(KIND=real_8), DIMENSION(:, :), POINTER :: data_z\n INTEGER :: blk, col, handle, row\n LOGICAL :: any_sym, my_local, tr\n REAL(KIND=real_4), DIMENSION(:, :), POINTER :: data_r\n REAL(KIND=real_8), DIMENSION(:, :), POINTER :: data_d\n REAL(real_8) :: fac\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n my_local = .FALSE.\n IF (PRESENT(local)) my_local = local\n\n any_sym = dbcsr_get_matrix_type(matrix) .EQ. dbcsr_type_symmetric .OR. &\n dbcsr_get_matrix_type(matrix) .EQ. dbcsr_type_antisymmetric\n\n norm = 0.0_dp\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n SELECT CASE (dbcsr_get_data_type(matrix))\n CASE (dbcsr_type_real_4)\n CALL dbcsr_iterator_next_block(iter, row, col, data_r, tr, blk)\n fac = 1.0_dp\n IF (any_sym .AND. row .NE. col) fac = 2.0_dp\n norm = norm + fac*SUM(data_r**2)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_iterator_next_block(iter, row, col, data_d, tr, blk)\n fac = 1.0_dp\n IF (any_sym .AND. row .NE. col) fac = 2.0_dp\n norm = norm + fac*SUM(data_d**2)\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_iterator_next_block(iter, row, col, data_c, tr, blk)\n fac = 1.0_dp\n IF (any_sym .AND. row .NE. col) &\n DBCSR_ABORT(\"Only nonsymmetric matrix so far\")\n norm = norm + fac*REAL(SUM(CONJG(data_c)*data_c), KIND=real_8)\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_iterator_next_block(iter, row, col, data_z, tr, blk)\n fac = 1.0_dp\n IF (any_sym .AND. row .NE. col) &\n DBCSR_ABORT(\"Only nonsymmetric matrix so far\")\n norm = norm + fac*REAL(SUM(CONJG(data_z)*data_z), KIND=real_8)\n CASE DEFAULT\n DBCSR_ABORT(\"Wrong data type\")\n END SELECT\n END DO\n CALL dbcsr_iterator_stop(iter)\n IF (.NOT. my_local) CALL mp_sum(norm, dbcsr_mp_group(dbcsr_distribution_mp(matrix%dist)))\n norm = SQRT(norm)\n\n CALL timestop(handle)\n\n END FUNCTION dbcsr_frobenius_norm\n\n SUBROUTINE dbcsr_sum_replicated(matrix)\n !! Sums blocks in a replicated dbcsr matrix, which has the same structure on all ranks.\n\n TYPE(dbcsr_type), INTENT(inout) :: matrix\n !! dbcsr matrix to operate on\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_sum_replicated'\n\n INTEGER :: handle, index_checksum, mynode, &\n numnodes\n INTEGER, ALLOCATABLE, DIMENSION(:) :: all_checksums\n TYPE(dbcsr_mp_obj) :: mp\n TYPE(mp_comm_type) :: comm\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n mp = dbcsr_distribution_mp(dbcsr_distribution(matrix))\n comm = dbcsr_mp_group(mp)\n numnodes = dbcsr_mp_numnodes(mp)\n mynode = dbcsr_mp_mynode(mp)\n !\n ALLOCATE (all_checksums(numnodes))\n CALL dbcsr_index_checksum(matrix, index_checksum)\n CALL mp_allgather(index_checksum, all_checksums, comm)\n !\n IF (.NOT. ALL(all_checksums .EQ. index_checksum)) &\n DBCSR_ABORT(\"Replicated matrices do not all have the same index structure.\")\n !\n SELECT CASE (dbcsr_data_get_type(matrix%data_area))\n CASE (dbcsr_type_real_4)\n CALL mp_sum(matrix%data_area%d%r_sp, comm)\n CASE (dbcsr_type_real_8)\n CALL mp_sum(matrix%data_area%d%r_dp, comm)\n CASE (dbcsr_type_complex_4)\n CALL mp_sum(matrix%data_area%d%c_sp, comm)\n CASE (dbcsr_type_complex_8)\n CALL mp_sum(matrix%data_area%d%c_dp, comm)\n CASE default\n DBCSR_ABORT(\"Incorrect data type\")\n END SELECT\n !\n CALL timestop(handle)\n END SUBROUTINE dbcsr_sum_replicated\n\n FUNCTION dbcsr_block_in_limits(row, col, block_row_limits, block_column_limits)\n !! check if a block is not in the limits\n INTEGER, INTENT(in) :: row, col\n INTEGER, DIMENSION(2), INTENT(in), OPTIONAL :: block_row_limits, block_column_limits\n LOGICAL :: dbcsr_block_in_limits\n\n dbcsr_block_in_limits = .TRUE.\n IF (PRESENT(block_row_limits)) THEN\n IF (row .LT. block_row_limits(1)) dbcsr_block_in_limits = .FALSE.\n IF (row .GT. block_row_limits(2)) dbcsr_block_in_limits = .FALSE.\n END IF\n IF (PRESENT(block_column_limits)) THEN\n IF (col .LT. block_column_limits(1)) dbcsr_block_in_limits = .FALSE.\n IF (col .GT. block_column_limits(2)) dbcsr_block_in_limits = .FALSE.\n END IF\n END FUNCTION dbcsr_block_in_limits\n\n SUBROUTINE dbcsr_get_info(matrix, nblkrows_total, nblkcols_total, &\n nfullrows_total, nfullcols_total, &\n nblkrows_local, nblkcols_local, &\n nfullrows_local, nfullcols_local, &\n my_prow, my_pcol, &\n local_rows, local_cols, proc_row_dist, proc_col_dist, &\n row_blk_size, col_blk_size, row_blk_offset, col_blk_offset, distribution, name, data_area, &\n matrix_type, data_type, group)\n !! Gets information about a matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix to query\n INTEGER, INTENT(OUT), OPTIONAL :: nblkrows_total, nblkcols_total, nfullrows_total, &\n nfullcols_total, nblkrows_local, nblkcols_local, nfullrows_local, nfullcols_local, &\n my_prow, my_pcol\n INTEGER, DIMENSION(:), OPTIONAL, POINTER :: local_rows, local_cols, proc_row_dist, &\n proc_col_dist, row_blk_size, col_blk_size, row_blk_offset, col_blk_offset\n TYPE(dbcsr_distribution_obj), INTENT(OUT), &\n OPTIONAL :: distribution\n !! the data distribution of the matrix\n CHARACTER(len=*), INTENT(OUT), OPTIONAL :: name\n !! matrix name\n TYPE(dbcsr_data_obj), INTENT(OUT), OPTIONAL :: data_area\n !! data_area\n CHARACTER, OPTIONAL :: matrix_type\n !! matrix type (regular, symmetric, see dbcsr_types.F for values)\n INTEGER, OPTIONAL :: data_type\n !! data type (single/double precision real/complex)\n TYPE(mp_comm_type), INTENT(OUT), OPTIONAL :: group\n\n! ---------------------------------------------------------------------------\n\n !vw avoid massive printing of warnings\n !DBCSR_WARN(\"Invalid matrix\")\n IF (PRESENT(nblkrows_total)) nblkrows_total = matrix%nblkrows_total\n IF (PRESENT(nblkcols_total)) nblkcols_total = matrix%nblkcols_total\n IF (PRESENT(nfullrows_total)) nfullrows_total = matrix%nfullrows_total\n IF (PRESENT(nfullcols_total)) nfullcols_total = matrix%nfullcols_total\n IF (PRESENT(nblkrows_local)) nblkrows_local = matrix%nblkrows_local\n IF (PRESENT(nblkcols_local)) nblkcols_local = matrix%nblkcols_local\n IF (PRESENT(nfullrows_local)) nfullrows_local = matrix%nfullrows_local\n IF (PRESENT(nfullcols_local)) nfullcols_local = matrix%nfullcols_local\n IF (PRESENT(row_blk_size)) row_blk_size => array_data(matrix%row_blk_size)\n IF (PRESENT(col_blk_size)) col_blk_size => array_data(matrix%col_blk_size)\n IF (PRESENT(row_blk_offset)) row_blk_offset => array_data(matrix%row_blk_offset)\n IF (PRESENT(col_blk_offset)) col_blk_offset => array_data(matrix%col_blk_offset)\n IF (PRESENT(distribution)) distribution = matrix%dist\n IF (PRESENT(name)) name = matrix%name\n IF (PRESENT(data_area)) data_area = matrix%data_area\n IF (PRESENT(data_type)) data_type = matrix%data_type\n IF (PRESENT(local_rows)) local_rows => dbcsr_distribution_local_rows(matrix%dist)\n IF (PRESENT(local_cols)) local_cols => dbcsr_distribution_local_cols(matrix%dist)\n IF (PRESENT(proc_row_dist)) proc_row_dist => dbcsr_distribution_row_dist(matrix%dist)\n IF (PRESENT(proc_col_dist)) proc_col_dist => dbcsr_distribution_col_dist(matrix%dist)\n IF (PRESENT(my_prow)) my_prow = dbcsr_mp_myprow(dbcsr_distribution_mp(matrix%dist))\n IF (PRESENT(my_pcol)) my_pcol = dbcsr_mp_mypcol(dbcsr_distribution_mp(matrix%dist))\n IF (PRESENT(matrix_type)) matrix_type = dbcsr_get_matrix_type(matrix)\n\n IF (PRESENT(group)) group = dbcsr_mp_group(matrix%dist%d%mp_env) ! a shortcut\n !IF (PRESENT(matrix_type)) THEN\n ! matrix_type = dbcsr_get_matrix_type(matrix)\n ! IF (matrix_type .EQ. dbcsr_type_invalid) &\n ! DBCSR_ABORT(\"Incorrect symmetry\")\n !ENDIF\n END SUBROUTINE dbcsr_get_info\n\n FUNCTION dbcsr_may_be_dense(matrix, occ_thresh) RESULT(may_be_dense)\n !! Returns whether the matrix could be represented in a dense form\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix\n REAL(real_8), INTENT(in) :: occ_thresh\n LOGICAL :: may_be_dense\n !! use the mutable and not append-only working structures\n\n REAL(real_8) :: occ\n\n! ---------------------------------------------------------------------------\n\n occ = dbcsr_get_occupation(matrix)\n may_be_dense = .NOT. (occ .LT. occ_thresh)\n ! make sure every proc sees the same\n CALL mp_sum(may_be_dense, dbcsr_mp_group(dbcsr_distribution_mp(matrix%dist)))\n END FUNCTION dbcsr_may_be_dense\n\n FUNCTION dbcsr_get_occupation(matrix) RESULT(occupation)\n !! Returns the occupation of the matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix from which to get the occupation\n REAL(KIND=real_8) :: occupation\n\n INTEGER :: nfullcols, nfullrows\n INTEGER(KIND=int_8) :: nze_global\n INTEGER, DIMENSION(:), POINTER :: row_blk_size\n\n nze_global = matrix%nze\n CALL mp_sum(nze_global, dbcsr_mp_group(dbcsr_distribution_mp(matrix%dist)))\n\n nfullrows = dbcsr_nfullrows_total(matrix)\n nfullcols = dbcsr_nfullcols_total(matrix)\n\n row_blk_size => array_data(matrix%row_blk_size)\n\n IF (nfullrows .NE. 0 .AND. nfullcols .NE. 0) THEN\n IF (dbcsr_has_symmetry(matrix)) THEN\n IF (2*nze_global .EQ. &\n (INT(nfullrows, KIND=int_8)*INT(nfullrows + 1, KIND=int_8) + SUM(row_blk_size*(row_blk_size - 1)))) THEN\n occupation = 1.0_real_8\n ELSE\n occupation = 2.0_real_8*REAL(nze_global, real_8)/ &\n (REAL(nfullrows, real_8)*REAL(nfullrows + 1, real_8) + &\n SUM(REAL(row_blk_size, real_8)*REAL(row_blk_size - 1, real_8)))\n END IF\n ELSE\n IF (nze_global .EQ. INT(nfullrows, KIND=int_8)*INT(nfullcols, KIND=int_8)) THEN\n occupation = 1.0_real_8\n ELSE\n occupation = REAL(nze_global, real_8)/(REAL(nfullrows, real_8)*REAL(nfullcols, real_8))\n END IF\n END IF\n ELSE\n occupation = 0.0_real_8\n END IF\n END FUNCTION dbcsr_get_occupation\n\n SUBROUTINE dbcsr_clear(matrix)\n !! Clear a matrix (remove all blocks)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n TYPE(dbcsr_type) :: matrix_tmp\n\n CALL dbcsr_create(matrix_tmp, matrix)\n CALL dbcsr_release(matrix)\n matrix = matrix_tmp\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_trace_sd(matrix_a, trace)\n !! Trace of DBCSR matrices\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n !! DBCSR matrices\n REAL(kind=real_8), INTENT(INOUT) :: trace\n !! the trace of the product of the matrices\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_trace_sd'\n\n INTEGER :: handle\n REAL(kind=real_4) :: trace_4\n\n CALL timeset(routineN, handle)\n IF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_8) THEN\n CALL dbcsr_trace_d(matrix_a, trace)\n ELSEIF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_4) THEN\n trace_4 = 0.0_real_4\n CALL dbcsr_trace_s(matrix_a, trace_4)\n trace = REAL(trace_4, real_8)\n ELSE\n DBCSR_ABORT(\"Invalid combination of data type, NYI\")\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_trace_sd\n\n SUBROUTINE dbcsr_dot_sd(matrix_a, matrix_b, trace)\n !! Dot product of DBCSR matrices\n !! \\result the dot product of the matrices\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n !! DBCSR matrices\n !! DBCSR matrices\n REAL(kind=real_8), INTENT(INOUT) :: trace\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_dot_sd'\n\n INTEGER :: handle\n REAL(kind=real_4) :: trace_4\n\n CALL timeset(routineN, handle)\n IF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_8 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_real_8) THEN\n CALL dbcsr_dot_d(matrix_a, matrix_b, trace)\n ELSEIF (dbcsr_get_data_type(matrix_a) .EQ. dbcsr_type_real_4 .AND. &\n dbcsr_get_data_type(matrix_b) .EQ. dbcsr_type_real_4) THEN\n trace_4 = 0.0_real_4\n CALL dbcsr_dot_s(matrix_a, matrix_b, trace_4)\n trace = REAL(trace_4, real_8)\n ELSE\n DBCSR_ABORT(\"Invalid combination of data type, NYI\")\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_dot_sd\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n SUBROUTINE dbcsr_trace_${nametype1}$ (matrix_a, trace)\n !! traces a DBCSR matrix\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n !! DBCSR matrix\n ${type1}$, INTENT(INOUT) :: trace\n !! the trace of the matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_trace_${nametype1}$'\n\n INTEGER :: a_blk, a_col, a_col_size, &\n a_nze, a_row, a_row_size, i, &\n mynode, error_handle\n INTEGER, DIMENSION(:), POINTER :: col_blk_size, row_blk_size, &\n row_dist, col_dist\n ${type1}$, DIMENSION(:), POINTER :: a_data, data_p\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n TYPE(dbcsr_distribution_obj) :: dist\n\n! ---------------------------------------------------------------------------\n CALL timeset(routineN, error_handle)\n\n row_blk_size => array_data(matrix_a%row_blk_size)\n col_blk_size => array_data(matrix_a%col_blk_size)\n IF (dbcsr_get_data_type(matrix_a) /= ${dkind1}$) &\n DBCSR_ABORT(\"Incompatible data types\")\n CALL dbcsr_get_data(matrix_a%data_area, data_p)\n dist = dbcsr_distribution(matrix_a)\n mynode = dbcsr_mp_mynode(dbcsr_distribution_mp(dist))\n pgrid => dbcsr_mp_pgrid(dbcsr_distribution_mp(dist))\n row_dist => dbcsr_distribution_row_dist(dist)\n col_dist => dbcsr_distribution_col_dist(dist)\n !\n ! let's go\n trace = REAL(0.0, ${kind1}$)\n DO a_row = 1, matrix_a%nblkrows_total\n a_row_size = row_blk_size(a_row)\n DO a_blk = matrix_a%row_p(a_row) + 1, matrix_a%row_p(a_row + 1)\n IF (a_blk .EQ. 0) CYCLE\n a_col = matrix_a%col_i(a_blk)\n IF (a_col .ne. a_row) CYCLE\n ! We must skip non-local blocks in a replicated matrix.\n IF (matrix_a%replication_type .NE. dbcsr_repl_full) THEN\n IF (mynode .NE. checker_square_proc(a_row, a_col, pgrid, row_dist, col_dist)) &\n CYCLE\n END IF\n a_col_size = col_blk_size(a_col)\n IF (a_row_size .NE. a_col_size) &\n DBCSR_ABORT(\"is that a square matrix?\")\n a_nze = a_row_size**2\n a_data => pointer_view(data_p, ABS(matrix_a%blk_p(a_blk)), &\n ABS(matrix_a%blk_p(a_blk)) + a_nze - 1)\n !data_a => matrix_a%data(ABS(matrix_a%blk_p(a_blk)):ABS(matrix_a%blk_p(a_blk))+a_nze-1)\n !\n ! let's trace the block\n DO i = 1, a_row_size\n trace = trace + a_data((i - 1)*a_row_size + i)\n END DO\n END DO ! a_col\n END DO ! a_row\n !\n ! summe\n CALL mp_sum(trace, dbcsr_mp_group(dbcsr_distribution_mp(matrix_a%dist)))\n\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_trace_${nametype1}$\n\n SUBROUTINE dbcsr_dot_${nametype1}$ (matrix_a, matrix_b, trace)\n !! Dot product of DBCSR matrices\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a, matrix_b\n !! DBCSR matrices\n !! DBCSR matrices\n ${type1}$, INTENT(INOUT) :: trace\n !! the trace of the product of the matrices\n\n INTEGER :: a_blk, a_col, a_col_size, a_row_size, b_blk, b_col_size, &\n b_frst_blk, b_last_blk, b_row_size, nze, row, a_beg, a_end, b_beg, b_end\n CHARACTER :: matrix_a_type, matrix_b_type\n INTEGER, DIMENSION(:), POINTER :: a_col_blk_size, &\n a_row_blk_size, &\n b_col_blk_size, b_row_blk_size\n ${type1}$ :: sym_fac, fac\n LOGICAL :: found, matrix_a_symm, matrix_b_symm\n ${type1}$, DIMENSION(:), POINTER :: a_data, b_data\n\n! ---------------------------------------------------------------------------\n\n IF (matrix_a%replication_type .NE. dbcsr_repl_none &\n .OR. matrix_b%replication_type .NE. dbcsr_repl_none) &\n DBCSR_ABORT(\"Trace of product of replicated matrices not yet possible.\")\n\n sym_fac = REAL(1.0, ${kind1}$)\n matrix_a_type = dbcsr_get_matrix_type(matrix_a)\n matrix_b_type = dbcsr_get_matrix_type(matrix_b)\n matrix_a_symm = matrix_a_type == dbcsr_type_symmetric .OR. matrix_a_type == dbcsr_type_antisymmetric\n matrix_b_symm = matrix_b_type == dbcsr_type_symmetric .OR. matrix_b_type == dbcsr_type_antisymmetric\n\n IF (matrix_a_symm .AND. matrix_b_symm) sym_fac = REAL(2.0, ${kind1}$)\n\n ! tracing a symmetric with a general matrix is not implemented, as it would require communication of blocks\n IF (matrix_a_symm .NEQV. matrix_b_symm) &\n DBCSR_ABORT(\"Tracing general with symmetric matrix NYI\")\n\n a_row_blk_size => array_data(matrix_a%row_blk_size)\n a_col_blk_size => array_data(matrix_a%col_blk_size)\n b_row_blk_size => array_data(matrix_b%row_blk_size)\n b_col_blk_size => array_data(matrix_b%col_blk_size)\n\n CALL dbcsr_get_data(matrix_a%data_area, a_data)\n CALL dbcsr_get_data(matrix_b%data_area, b_data)\n\n ! let's go\n trace = REAL(0.0, ${kind1}$)\n IF (matrix_a%nblkrows_total .NE. matrix_b%nblkrows_total) &\n DBCSR_ABORT(\"this combination of transpose is NYI\")\n DO row = 1, matrix_a%nblkrows_total\n a_row_size = a_row_blk_size(row)\n b_row_size = b_row_blk_size(row)\n IF (a_row_size .NE. b_row_size) DBCSR_ABORT(\"matrices not consistent\")\n b_blk = matrix_b%row_p(row) + 1\n b_frst_blk = matrix_b%row_p(row) + 1\n b_last_blk = matrix_b%row_p(row + 1)\n DO a_blk = matrix_a%row_p(row) + 1, matrix_a%row_p(row + 1)\n IF (matrix_a%blk_p(a_blk) .EQ. 0) CYCLE ! Deleted block\n a_col = matrix_a%col_i(a_blk)\n a_col_size = a_col_blk_size(a_col)\n !\n ! find the b_blk we assume here that the columns are ordered !\n CALL dbcsr_find_column(a_col, b_frst_blk, b_last_blk, matrix_b%col_i, &\n matrix_b%blk_p, b_blk, found)\n IF (found) THEN\n b_col_size = b_col_blk_size(a_col)\n IF (a_col_size .NE. b_col_size) DBCSR_ABORT(\"matrices not consistent\")\n !\n nze = a_row_size*a_col_size\n !\n IF (nze .GT. 0) THEN\n !\n ! let's trace the blocks\n a_beg = ABS(matrix_a%blk_p(a_blk))\n a_end = a_beg + nze - 1\n b_beg = ABS(matrix_b%blk_p(b_blk))\n b_end = b_beg + nze - 1\n fac = REAL(1.0, ${kind1}$)\n IF (row .NE. a_col) fac = sym_fac\n\n trace = trace + fac*SUM(a_data(a_beg:a_end)*b_data(b_beg:b_end))\n\n END IF\n END IF\n END DO ! a_col\n END DO ! a_row\n !\n ! sum\n CALL mp_sum(trace, dbcsr_mp_group(dbcsr_distribution_mp(matrix_a%dist)))\n\n END SUBROUTINE dbcsr_dot_${nametype1}$\n\n SUBROUTINE dbcsr_scale_${nametype1}$ (matrix_a, alpha_scalar, last_column)\n !! Interface for matrix scaling by a scalar\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n ${type1}$, INTENT(IN) :: alpha_scalar\n INTEGER, INTENT(IN), OPTIONAL :: last_column\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_scale_${nametype1}$'\n\n INTEGER :: error_handler\n TYPE(dbcsr_scalar_type) :: sc\n\n sc = dbcsr_scalar(alpha_scalar)\n CALL dbcsr_scalar_fill_all(sc)\n sc%data_type = dbcsr_get_data_type(matrix_a)\n CALL timeset(routineN, error_handler)\n IF (PRESENT(last_column)) THEN\n CALL dbcsr_scale_anytype(matrix_a, &\n alpha_scalar=sc, &\n limits=(/0, 0, 0, last_column/))\n ELSE\n CALL dbcsr_scale_anytype(matrix_a, alpha_scalar=sc)\n END IF\n CALL timestop(error_handler)\n END SUBROUTINE dbcsr_scale_${nametype1}$\n\n SUBROUTINE dbcsr_scale_by_vector_${nametype1}$ (matrix_a, alpha, side)\n !! Interface for matrix scaling by a vector\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n ${type1}$, DIMENSION(:), INTENT(IN), TARGET, CONTIGUOUS :: alpha\n CHARACTER(LEN=*), INTENT(IN) :: side\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: tmp_p\n TYPE(dbcsr_data_obj) :: enc_alpha_vec\n\n CALL dbcsr_data_init(enc_alpha_vec)\n CALL dbcsr_data_new(enc_alpha_vec, ${dkind1}$)\n tmp_p => alpha\n CALL dbcsr_data_set_pointer(enc_alpha_vec, tmp_p)\n CALL dbcsr_scale_by_vector_anytype(matrix_a, enc_alpha_vec, side)\n CALL dbcsr_data_clear_pointer(enc_alpha_vec)\n CALL dbcsr_data_release(enc_alpha_vec)\n END SUBROUTINE dbcsr_scale_by_vector_${nametype1}$\n\n SUBROUTINE dbcsr_set_${nametype1}$ (matrix, alpha)\n !! Interface for dbcsr_set\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n ${type1}$, INTENT(IN) :: alpha\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_set'\n\n INTEGER :: col, handle, row\n TYPE(dbcsr_iterator) :: iter\n ${type1}$, DIMENSION(:, :), POINTER :: block\n LOGICAL :: tr\n\n CALL timeset(routineN, handle)\n\n IF (alpha == ${zero1[n]}$) THEN\n CALL dbcsr_zero(matrix)\n ELSE\n IF (dbcsr_get_data_type(matrix) /= ${dkind1}$) &\n DBCSR_ABORT(\"Incompatible data types\")\n\n !TODO: could be speedup by direct assignment to data_area, similar to dbcsr_zero()\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, block, tr)\n block(:, :) = alpha\n END DO\n CALL dbcsr_iterator_stop(iter)\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE dbcsr_set_${nametype1}$\n\n SUBROUTINE dbcsr_filter_${nametype1}$ (matrix, eps, method, use_absolute, &\n filter_diag)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n ${type1}$, INTENT(IN) :: eps\n INTEGER, INTENT(IN), OPTIONAL :: method\n LOGICAL, INTENT(in), OPTIONAL :: use_absolute, filter_diag\n CALL dbcsr_filter_anytype(matrix, dbcsr_scalar(eps), method, &\n use_absolute, filter_diag)\n END SUBROUTINE dbcsr_filter_${nametype1}$\n\n SUBROUTINE dbcsr_set_diag_${nametype1}$ (matrix, diag)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n ${type1}$, DIMENSION(:), INTENT(IN) :: diag\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_set_diag'\n\n INTEGER :: icol, irow, row_offset, handle, i\n LOGICAL :: tr\n TYPE(dbcsr_iterator) :: iter\n ${type1}$, DIMENSION(:, :), POINTER :: block\n\n CALL timeset(routineN, handle)\n\n IF (dbcsr_get_data_type(matrix) /= ${dkind1}$) &\n DBCSR_ABORT(\"Incompatible data types\")\n\n IF (dbcsr_nfullrows_total(matrix) /= SIZE(diag)) &\n DBCSR_ABORT(\"Diagonal has wrong size\")\n\n IF (.NOT. array_equality(matrix%row_blk_offset, matrix%col_blk_offset)) &\n DBCSR_ABORT(\"matrix not quadratic\")\n\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, irow, icol, block, tr, row_offset=row_offset)\n IF (irow /= icol) CYCLE\n\n IF (sIZE(block, 1) /= sIZE(block, 2)) &\n DBCSR_ABORT(\"Diagonal block non-squared\")\n\n DO i = 1, sIZE(block, 1)\n block(i, i) = diag(row_offset + i - 1)\n END DO\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n CALL timestop(handle)\n END SUBROUTINE dbcsr_set_diag_${nametype1}$\n\n SUBROUTINE dbcsr_get_diag_${nametype1}$ (matrix, diag)\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n ${type1}$, DIMENSION(:), INTENT(OUT) :: diag\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_get_diag'\n\n INTEGER :: icol, irow, row_offset, handle, i\n LOGICAL :: tr\n TYPE(dbcsr_iterator) :: iter\n ${type1}$, DIMENSION(:, :), POINTER :: block\n\n CALL timeset(routineN, handle)\n\n IF (dbcsr_get_data_type(matrix) /= ${dkind1}$) &\n DBCSR_ABORT(\"Incompatible data types\")\n\n IF (dbcsr_nfullrows_total(matrix) /= SIZE(diag)) &\n DBCSR_ABORT(\"Diagonal has wrong size\")\n\n IF (.NOT. array_equality(matrix%row_blk_offset, matrix%col_blk_offset)) &\n DBCSR_ABORT(\"matrix not quadratic\")\n\n diag(:) = ${zero1[n]}$\n\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, irow, icol, block, tr, row_offset=row_offset)\n IF (irow /= icol) CYCLE\n\n IF (sIZE(block, 1) /= sIZE(block, 2)) &\n DBCSR_ABORT(\"Diagonal block non-squared\")\n\n DO i = 1, sIZE(block, 1)\n diag(row_offset + i - 1) = block(i, i)\n END DO\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n CALL timestop(handle)\n END SUBROUTINE dbcsr_get_diag_${nametype1}$\n\n SUBROUTINE dbcsr_add_on_diag_${nametype1}$ (matrix, alpha)\n !! add a constant to the diagonal of a matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n ${type1}$, INTENT(IN) :: alpha\n !! scalar\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_add_on_diag'\n\n INTEGER :: handle, mynode, node, irow, i, row_size\n LOGICAL :: found, tr\n ${type1}$, DIMENSION(:, :), POINTER :: block\n\n CALL timeset(routineN, handle)\n\n IF (dbcsr_get_data_type(matrix) /= ${dkind1}$) &\n DBCSR_ABORT(\"Incompatible data types\")\n\n IF (.NOT. array_equality(matrix%row_blk_offset, matrix%col_blk_offset)) &\n DBCSR_ABORT(\"matrix not quadratic\")\n\n mynode = dbcsr_mp_mynode(dbcsr_distribution_mp(dbcsr_distribution(matrix)))\n\n CALL dbcsr_work_create(matrix, work_mutable=.TRUE.)\n\n DO irow = 1, dbcsr_nblkrows_total(matrix)\n CALL dbcsr_get_stored_coordinates(matrix, irow, irow, node)\n IF (node /= mynode) CYCLE\n\n CALL dbcsr_get_block_p(matrix, irow, irow, block, tr, found, row_size=row_size)\n IF (.NOT. found) THEN\n ALLOCATE (block(row_size, row_size))\n block(:, :) = ${zero1[n]}$\n END IF\n\n DO i = 1, row_size\n block(i, i) = block(i, i) + alpha\n END DO\n\n IF (.NOT. found) THEN\n CALL dbcsr_put_block(matrix, irow, irow, block)\n DEALLOCATE (block)\n END IF\n END DO\n\n CALL dbcsr_finalize(matrix)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_add_on_diag_${nametype1}$\n\n SUBROUTINE dbcsr_update_contiguous_blocks_${nametype1}$ (matrix_a, matrix_b, first_lb_a, first_lb_b, nze, &\n do_scale, my_beta_scalar, found, iw)\n !! Low level function to sum contiguous chunks of blocks of the matrices (matrix_a = matrix_a + beta*matrix_b)\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n !! DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: matrix_b\n !! DBCSR matrix\n TYPE(dbcsr_scalar_type), INTENT(IN) :: my_beta_scalar\n INTEGER, INTENT(IN) :: first_lb_a, first_lb_b, nze, iw\n LOGICAL, INTENT(IN) :: found, do_scale\n\n INTEGER :: ub_a, ub_b\n\n ub_a = first_lb_a + nze - 1\n ub_b = first_lb_b + nze - 1\n\n IF (found) THEN\n IF (do_scale) THEN\n CALL ${nametype1}$axpy(nze, my_beta_scalar%${base1}$_${prec1}$, &\n matrix_b%data_area%d%${base1}$_${prec1}$ (first_lb_b:ub_b), 1, &\n matrix_a%data_area%d%${base1}$_${prec1}$ (first_lb_a:ub_a), 1)\n ELSE\n matrix_a%data_area%d%${base1}$_${prec1}$ (first_lb_a:ub_a) = &\n matrix_a%data_area%d%${base1}$_${prec1}$ (first_lb_a:ub_a) + &\n matrix_b%data_area%d%${base1}$_${prec1}$ (first_lb_b:ub_b)\n END IF\n ELSE\n IF (do_scale) THEN\n matrix_a%wms(iw)%data_area%d%${base1}$_${prec1}$ (first_lb_a:ub_a) = &\n my_beta_scalar%${base1}$_${prec1}$* &\n matrix_b%data_area%d%${base1}$_${prec1}$ (first_lb_b:ub_b)\n ELSE\n matrix_a%wms(iw)%data_area%d%${base1}$_${prec1}$ (first_lb_a:ub_a) = &\n matrix_b%data_area%d%${base1}$_${prec1}$ (first_lb_b:ub_b)\n END IF\n END IF\n END SUBROUTINE dbcsr_update_contiguous_blocks_${nametype1}$\n\n SUBROUTINE dbcsr_add_anytype_${nametype1}$ (matrix_a, matrix_b, iter, iw, do_scale, &\n my_beta_scalar, my_flop)\n !! Low level function to sum two matrices (matrix_a = matrix_a + beta*matrix_b\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_a\n !! DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: matrix_b\n !! DBCSR matrix\n TYPE(dbcsr_iterator), INTENT(INOUT) :: iter\n INTEGER, INTENT(IN) :: iw\n LOGICAL, INTENT(IN) :: do_scale\n TYPE(dbcsr_scalar_type), INTENT(IN) :: my_beta_scalar\n INTEGER(KIND=int_8), INTENT(INOUT) :: my_flop\n\n INTEGER :: row, col, row_size, col_size, &\n nze, tot_nze, blk, &\n lb_a, first_lb_a, lb_a_val, &\n lb_b, first_lb_b\n INTEGER, DIMENSION(2) :: lb_row_blk\n LOGICAL :: was_found, found, tr\n\n ! some start values\n lb_row_blk(:) = 0\n first_lb_a = matrix_a%wms(iw)%datasize + 1\n first_lb_b = 0\n tot_nze = 0\n !\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, tr, lb_b, row_size, col_size)\n nze = row_size*col_size\n IF (nze .LE. 0) CYCLE\n IF (lb_row_blk(1) .LT. row) THEN\n lb_row_blk(1) = row\n lb_row_blk(2) = matrix_a%row_p(row) + 1\n END IF\n ! get b-block index\n lb_b = ABS(lb_b)\n CALL dbcsr_find_column(col, lb_row_blk(2), matrix_a%row_p(row + 1), matrix_a%col_i, matrix_a%blk_p, blk, found)\n lb_row_blk(2) = blk + 1\n ! get index of a-block lb_a whether found (from matrix_a) or not (from workspace array)\n IF (found) THEN\n my_flop = my_flop + nze*2\n lb_a = ABS(matrix_a%blk_p(blk))\n ELSE\n lb_a = matrix_a%wms(iw)%datasize + 1\n lb_a_val = lb_a\n IF (tr) lb_a_val = -lb_a\n matrix_a%wms(iw)%lastblk = matrix_a%wms(iw)%lastblk + 1\n matrix_a%wms(iw)%row_i(matrix_a%wms(iw)%lastblk) = row\n matrix_a%wms(iw)%col_i(matrix_a%wms(iw)%lastblk) = col\n matrix_a%wms(iw)%blk_p(matrix_a%wms(iw)%lastblk) = lb_a_val\n matrix_a%wms(iw)%datasize = matrix_a%wms(iw)%datasize + nze\n END IF\n ! at the first iteration we skip this and go directly to initialization after\n IF (first_lb_b .NE. 0) THEN\n ! if found status is the same as before then probably we are in contiguous blocks\n IF ((found .EQV. was_found) .AND. &\n (first_lb_b + tot_nze .EQ. lb_b) .AND. &\n (first_lb_a + tot_nze) .EQ. lb_a) THEN\n tot_nze = tot_nze + nze\n CYCLE\n END IF\n ! save block chunk\n CALL dbcsr_update_contiguous_blocks_${nametype1}$ (matrix_a, matrix_b, first_lb_a, first_lb_b, tot_nze, &\n do_scale, my_beta_scalar, was_found, iw)\n END IF\n !\n first_lb_a = lb_a\n first_lb_b = lb_b\n tot_nze = nze\n was_found = found\n END DO\n\n ! save the last block or chunk of blocks\n IF (first_lb_b .NE. 0) THEN\n call dbcsr_update_contiguous_blocks_${nametype1}$ (matrix_a, matrix_b, first_lb_a, first_lb_b, tot_nze, &\n do_scale, my_beta_scalar, was_found, iw)\n END IF\n\n END SUBROUTINE dbcsr_add_anytype_${nametype1}$\n #:endfor\n\nEND MODULE dbcsr_operations\n" }, { "path": "src/ops/dbcsr_test_methods.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_test_methods\n !! Tests for CP2K DBCSR operations\n USE dbcsr_blas_operations, ONLY: dbcsr_lapack_larnv, &\n set_larnv_seed\n USE dbcsr_block_access, ONLY: dbcsr_put_block\n USE dbcsr_block_operations, ONLY: dbcsr_block_conjg, &\n dbcsr_block_partial_copy, &\n dbcsr_block_scale, &\n dbcsr_block_transpose, &\n dbcsr_data_clear, &\n dbcsr_data_set\n USE dbcsr_data_methods, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_get_sizes, dbcsr_data_get_type, dbcsr_data_init, &\n dbcsr_data_new, dbcsr_data_release, dbcsr_scalar, dbcsr_scalar_negative, dbcsr_scalar_one, &\n dbcsr_type_1d_to_2d, dbcsr_type_2d_to_1d\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_hold, &\n dbcsr_distribution_mp, &\n dbcsr_distribution_new, &\n dbcsr_distribution_release\n USE dbcsr_dist_operations, ONLY: dbcsr_get_stored_coordinates\n USE dbcsr_dist_util, ONLY: dbcsr_verify_matrix\n USE dbcsr_iterator_operations, ONLY: dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block, &\n dbcsr_iterator_start, &\n dbcsr_iterator_stop\n USE dbcsr_kinds, ONLY: dp, &\n int_8, &\n real_4, &\n real_8\n USE dbcsr_methods, ONLY: dbcsr_get_matrix_type, &\n dbcsr_max_col_size, &\n dbcsr_max_row_size, &\n dbcsr_nblkcols_total, &\n dbcsr_nblkrows_total, &\n dbcsr_nfullcols_total, &\n dbcsr_nfullrows_total\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_mynode, &\n dbcsr_mp_new, &\n dbcsr_mp_numnodes, &\n dbcsr_mp_release\n USE dbcsr_mpiwrap, ONLY: mp_comm_null, &\n mp_environ, mp_comm_type\n USE dbcsr_ptr_util, ONLY: ensure_array_size\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_iterator, dbcsr_mp_obj, dbcsr_scalar_type, &\n dbcsr_type, dbcsr_type_antihermitian, dbcsr_type_antisymmetric, dbcsr_type_complex_4, &\n dbcsr_type_complex_8, dbcsr_type_hermitian, dbcsr_type_no_symmetry, dbcsr_type_real_4, &\n dbcsr_type_real_8, dbcsr_type_real_default, dbcsr_type_symmetric\n USE dbcsr_work_operations, ONLY: dbcsr_create, &\n dbcsr_finalize, &\n dbcsr_work_create\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: dbcsr_to_dense_local, dbcsr_impose_sparsity\n PUBLIC :: dbcsr_random_dist, dbcsr_make_random_matrix, &\n dbcsr_make_random_block_sizes, compx_to_dbcsr_scalar, &\n dbcsr_reset_randmat_seed\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_test_methods'\n\n INTEGER, PRIVATE, SAVE :: randmat_counter = 0\n INTEGER, PARAMETER, PRIVATE :: rand_seed_init = 12341313\n\nCONTAINS\n\n SUBROUTINE dbcsr_reset_randmat_seed()\n !! Reset the seed used for generating random matrices to default value\n randmat_counter = rand_seed_init\n END SUBROUTINE\n\n FUNCTION compx_to_dbcsr_scalar(z, data_type) RESULT(res)\n COMPLEX(real_8) :: z\n INTEGER :: data_type\n TYPE(dbcsr_scalar_type) :: res\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n res = dbcsr_scalar(REAL(z, kind=real_4))\n CASE (dbcsr_type_real_8)\n res = dbcsr_scalar(REAL(z, kind=real_8))\n CASE (dbcsr_type_complex_4)\n res = dbcsr_scalar(CMPLX(z, kind=real_4))\n CASE (dbcsr_type_complex_8)\n res = dbcsr_scalar(z)\n END SELECT\n\n END FUNCTION compx_to_dbcsr_scalar\n\n SUBROUTINE dbcsr_impose_sparsity(sparse, dense)\n !! Impose sparsity on a dense matrix based on a dbcsr\n\n TYPE(dbcsr_type), INTENT(IN) :: sparse\n !! sparse matrix\n TYPE(dbcsr_data_obj), INTENT(inout) :: dense\n !! dense matrix Take into account the symmetry of the sparse matrix. The dense matrix need to be valid. The operation is\n !! done locally.\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_impose_sparsity'\n\n CHARACTER :: symm\n INTEGER :: blk, col, col_offset, col_size, &\n data_type, dense_col_size, &\n dense_row_size, handle, row, &\n row_offset, row_size\n LOGICAL :: valid\n TYPE(dbcsr_data_obj) :: tmp\n TYPE(dbcsr_iterator) :: iter\n\n CALL timeset(routineN, handle)\n\n CALL dbcsr_data_get_sizes(dense, dense_row_size, dense_col_size, valid)\n IF (.NOT. valid) &\n DBCSR_ABORT(\"dense matrix not valid\")\n data_type = dbcsr_data_get_type(dense)\n symm = dbcsr_get_matrix_type(sparse)\n\n CALL dbcsr_data_init(tmp)\n CALL dbcsr_data_new(tmp, dbcsr_type_1d_to_2d(data_type), data_size=dense_row_size, &\n data_size2=dense_col_size)\n CALL dbcsr_data_set(dst=tmp, lb=1, data_size=dense_row_size, src=dense, source_lb=1, &\n lb2=1, data_size2=dense_col_size, source_lb2=1)\n CALL dbcsr_data_clear(dense)\n\n CALL dbcsr_iterator_start(iter, sparse)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, &\n row_size=row_size, col_size=col_size, &\n row_offset=row_offset, col_offset=col_offset)\n CALL dbcsr_block_partial_copy( &\n dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.FALSE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=tmp, &\n src_rs=dense_row_size, src_cs=dense_col_size, src_tr=.FALSE., &\n src_r_lb=row_offset, src_c_lb=col_offset, &\n nrow=row_size, ncol=col_size)\n IF (symm .NE. dbcsr_type_no_symmetry) THEN\n SELECT CASE (symm)\n CASE (dbcsr_type_symmetric)\n CALL dbcsr_block_partial_copy( &\n dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.TRUE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=tmp, &\n src_rs=dense_row_size, src_cs=dense_col_size, src_tr=.FALSE., &\n src_r_lb=row_offset, src_c_lb=col_offset, &\n nrow=row_size, ncol=col_size)\n CASE (dbcsr_type_antisymmetric)\n CALL dbcsr_block_partial_copy( &\n dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.TRUE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=tmp, &\n src_rs=dense_row_size, src_cs=dense_col_size, src_tr=.FALSE., &\n src_r_lb=row_offset, src_c_lb=col_offset, &\n nrow=row_size, ncol=col_size)\n CALL dbcsr_block_scale(dense, dbcsr_scalar_negative(dbcsr_scalar_one( &\n dbcsr_type_2d_to_1d(data_type))), &\n row_size=col_size, col_size=row_size, &\n lb=col_offset, lb2=row_offset)\n CASE (dbcsr_type_hermitian)\n CALL dbcsr_block_partial_copy( &\n dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.TRUE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=tmp, &\n src_rs=dense_row_size, src_cs=dense_col_size, src_tr=.FALSE., &\n src_r_lb=row_offset, src_c_lb=col_offset, &\n nrow=row_size, ncol=col_size)\n CALL dbcsr_block_conjg(dense, row_size=col_size, col_size=row_size, &\n lb=col_offset, lb2=row_offset)\n CASE (dbcsr_type_antihermitian)\n CALL dbcsr_block_partial_copy( &\n dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.TRUE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=tmp, &\n src_rs=dense_row_size, src_cs=dense_col_size, src_tr=.FALSE., &\n src_r_lb=row_offset, src_c_lb=col_offset, &\n nrow=row_size, ncol=col_size)\n CALL dbcsr_block_scale(dense, dbcsr_scalar_negative(dbcsr_scalar_one( &\n dbcsr_type_2d_to_1d(data_type))), &\n row_size=col_size, col_size=row_size, &\n lb=col_offset, lb2=row_offset)\n CALL dbcsr_block_conjg(dense, row_size=col_size, col_size=row_size, &\n lb=col_offset, lb2=row_offset)\n CASE DEFAULT\n DBCSR_ABORT(\"wrong matrix symmetry\")\n END SELECT\n END IF\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n CALL dbcsr_data_release(tmp)\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_impose_sparsity\n\n SUBROUTINE dbcsr_to_dense_local(sparse, dense)\n !! Convert a sparse matrix to a dense matrix\n\n TYPE(dbcsr_type), INTENT(in) :: sparse\n !! sparse matrix\n TYPE(dbcsr_data_obj), INTENT(inout) :: dense\n !! dense matrix Take into account the symmetry of the sparse matrix. The dense matrix need to be valid. The operation is\n !! done locally.\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_to_dense_local'\n\n CHARACTER :: symm\n INTEGER :: col, col_offset, col_size, data_type, &\n dense_col_size, dense_row_size, &\n handle, row, row_offset, row_size\n LOGICAL :: tr, valid\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_iterator) :: iter\n\n CALL timeset(routineN, handle)\n\n CALL dbcsr_data_get_sizes(dense, dense_row_size, dense_col_size, valid)\n IF (.NOT. valid) &\n DBCSR_ABORT(\"dense matrix not valid\")\n\n symm = dbcsr_get_matrix_type(sparse)\n data_type = dbcsr_data_get_type(dense)\n\n CALL dbcsr_data_clear(dense)\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, dbcsr_type_1d_to_2d(data_type))\n CALL dbcsr_iterator_start(iter, sparse)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, block, tr, &\n row_size=row_size, col_size=col_size, &\n row_offset=row_offset, col_offset=col_offset)\n CALL dbcsr_block_partial_copy(dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.FALSE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=block, src_rs=row_size, src_cs=col_size, src_tr=tr, &\n src_r_lb=1, src_c_lb=1, nrow=row_size, ncol=col_size)\n IF (symm .NE. dbcsr_type_no_symmetry .AND. row .NE. col) THEN\n SELECT CASE (symm)\n CASE (dbcsr_type_symmetric)\n CALL dbcsr_block_partial_copy(dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.TRUE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=block, src_rs=row_size, src_cs=col_size, src_tr=tr, &\n src_r_lb=1, src_c_lb=1, nrow=row_size, ncol=col_size)\n CASE (dbcsr_type_antisymmetric)\n CALL dbcsr_block_partial_copy(dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.TRUE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=block, src_rs=row_size, src_cs=col_size, src_tr=tr, &\n src_r_lb=1, src_c_lb=1, nrow=row_size, ncol=col_size)\n CALL dbcsr_block_scale(dense, dbcsr_scalar_negative(dbcsr_scalar_one( &\n dbcsr_type_2d_to_1d(data_type))), &\n row_size=col_size, col_size=row_size, &\n lb=col_offset, lb2=row_offset)\n CASE (dbcsr_type_hermitian)\n CALL dbcsr_block_partial_copy(dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.TRUE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=block, src_rs=row_size, src_cs=col_size, src_tr=tr, &\n src_r_lb=1, src_c_lb=1, nrow=row_size, ncol=col_size)\n CALL dbcsr_block_conjg(dense, row_size=col_size, col_size=row_size, &\n lb=col_offset, lb2=row_offset)\n CASE (dbcsr_type_antihermitian)\n CALL dbcsr_block_partial_copy(dst=dense, &\n dst_rs=dense_row_size, dst_cs=dense_col_size, dst_tr=.TRUE., &\n dst_r_lb=row_offset, dst_c_lb=col_offset, &\n src=block, src_rs=row_size, src_cs=col_size, src_tr=tr, &\n src_r_lb=1, src_c_lb=1, nrow=row_size, ncol=col_size)\n CALL dbcsr_block_scale(dense, dbcsr_scalar_negative(dbcsr_scalar_one( &\n dbcsr_type_2d_to_1d(data_type))), &\n row_size=col_size, col_size=row_size, &\n lb=col_offset, lb2=row_offset)\n CALL dbcsr_block_conjg(dense, row_size=col_size, col_size=row_size, &\n lb=col_offset, lb2=row_offset)\n CASE DEFAULT\n DBCSR_ABORT(\"wrong matrix symmetry\")\n END SELECT\n END IF\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_to_dense_local\n\n SUBROUTINE dbcsr_random_dist(dist_array, dist_size, nbins)\n INTEGER, DIMENSION(:), INTENT(out), POINTER :: dist_array\n INTEGER, INTENT(in) :: dist_size, nbins\n\n INTEGER :: i\n\n ALLOCATE (dist_array(dist_size))\n !CALL RANDOM_NUMBER (dist_array)\n DO i = 1, dist_size\n dist_array(i) = MODULO(nbins - i, nbins)\n END DO\n END SUBROUTINE dbcsr_random_dist\n\n SUBROUTINE dbcsr_make_random_matrix(matrix, row_blk_sizes, col_blk_sizes, &\n name, sparsity, mp_group, data_type, symmetry, dist)\n !! Creates a random matrix.\n TYPE(dbcsr_type), INTENT(out) :: matrix\n INTEGER, DIMENSION(:), INTENT(INOUT), POINTER, CONTIGUOUS :: row_blk_sizes, col_blk_sizes\n CHARACTER(len=*), INTENT(in) :: name\n REAL(kind=real_8), INTENT(in) :: sparsity\n TYPE(mp_comm_type), INTENT(in) :: mp_group\n INTEGER, INTENT(in), OPTIONAL :: data_type\n CHARACTER, INTENT(in), OPTIONAL :: symmetry\n TYPE(dbcsr_distribution_obj), INTENT(IN), OPTIONAL :: dist\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_random_matrix'\n\n CHARACTER :: my_symmetry\n INTEGER :: col, error_handle, max_nze, &\n my_data_type, my_proc, ncol, nrow, &\n numproc, nze, p, row, s_col, s_row\n INTEGER(KIND=int_8) :: counter, ele, increment, nmax\n INTEGER, DIMENSION(4) :: iseed, jseed\n LOGICAL :: tr\n REAL(kind=real_8) :: my_sparsity\n REAL(kind=real_8), DIMENSION(1) :: value\n TYPE(dbcsr_data_obj) :: data_values, data_values_tr\n TYPE(dbcsr_distribution_obj) :: new_dist\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n ! Check that the counter was initialised (or has not overflowed)\n DBCSR_ASSERT(randmat_counter .NE. 0)\n ! the counter goes into the seed. Every new call gives a new random matrix\n randmat_counter = randmat_counter + 1\n ! Create the matrix\n IF (PRESENT(dist)) THEN\n new_dist = dist\n CALL dbcsr_distribution_hold(new_dist)\n ELSE\n CALL dbcsr_make_null_dist(new_dist, SIZE(row_blk_sizes), &\n SIZE(col_blk_sizes), group=mp_group)\n END IF\n my_data_type = dbcsr_type_real_default\n IF (PRESENT(data_type)) my_data_type = data_type\n my_symmetry = dbcsr_type_no_symmetry\n IF (PRESENT(symmetry)) my_symmetry = symmetry\n CALL dbcsr_create(matrix, name, &\n new_dist, my_symmetry, &\n row_blk_sizes, &\n col_blk_sizes, &\n data_type=my_data_type)\n numproc = dbcsr_mp_numnodes(dbcsr_distribution_mp(new_dist))\n my_proc = dbcsr_mp_mynode(dbcsr_distribution_mp(new_dist))\n !\n IF (sparsity .GT. 1) THEN\n my_sparsity = sparsity/100.0\n ELSE\n my_sparsity = sparsity\n END IF\n CALL dbcsr_work_create(matrix, &\n nblks_guess=INT(REAL(dbcsr_nblkrows_total(matrix), KIND=dp) &\n *REAL(dbcsr_nblkcols_total(matrix), KIND=dp) &\n *(1.0_dp - sparsity)*1.1_dp/numproc), &\n sizedata_guess=INT(REAL(dbcsr_nfullrows_total(matrix), KIND=dp) &\n *REAL(dbcsr_nfullcols_total(matrix), KIND=dp) &\n *(1.0_dp - sparsity)*1.1_dp/numproc), &\n work_mutable=.TRUE.)\n\n max_nze = dbcsr_max_row_size(matrix)*dbcsr_max_col_size(matrix)\n CALL dbcsr_data_init(data_values)\n CALL dbcsr_data_new(data_values, my_data_type, data_size=max_nze)\n CALL dbcsr_data_init(data_values_tr)\n CALL dbcsr_data_new(data_values_tr, my_data_type, data_size=max_nze)\n\n nrow = dbcsr_nblkrows_total(matrix)\n ncol = dbcsr_nblkcols_total(matrix)\n nmax = INT(nrow, KIND=int_8)*INT(ncol, KIND=int_8)\n ele = -1\n counter = 0\n CALL set_larnv_seed(7, 42, 3, 42, randmat_counter, jseed)\n\n DO\n ! find the next block to add, this is given by a geometrically distributed variable\n ! we number the blocks of the matrix and jump to the next one\n CALL dlarnv(1, jseed, 1, value)\n IF (my_sparsity > 0) THEN\n increment = 1 + FLOOR(LOG(value(1))/LOG(my_sparsity), KIND=int_8)\n ELSE\n increment = 1\n END IF\n ele = ele + increment\n IF (ele >= nmax) EXIT\n counter = counter + 1\n row = INT(ele/ncol) + 1\n col = INT(MOD(ele, INT(ncol, KIND=KIND(ele)))) + 1\n\n ! build the upper matrix if some symmetry, and only deal with the local blocks.\n s_row = row; s_col = col\n IF (PRESENT(dist)) THEN\n tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(matrix, s_row, s_col, p)\n IF (my_symmetry .NE. dbcsr_type_no_symmetry .AND. s_col .LT. s_row) CYCLE\n IF (p .NE. my_proc) CYCLE\n ELSE\n IF (my_symmetry .NE. dbcsr_type_no_symmetry .AND. s_col .LT. s_row) CYCLE\n END IF\n IF (.NOT. PRESENT(dist) .AND. my_proc .NE. 0) CYCLE\n\n ! fill based on a block based seed, makes this the same values in parallel\n CALL set_larnv_seed(row, nrow, col, ncol, randmat_counter, iseed)\n nze = row_blk_sizes(s_row)*col_blk_sizes(s_col)\n CALL dbcsr_lapack_larnv(1, iseed, nze, data_values)\n CALL dbcsr_put_block(matrix, s_row, s_col, data_values)\n IF (my_symmetry .NE. dbcsr_type_no_symmetry .AND. s_col .EQ. s_row) THEN\n SELECT CASE (my_symmetry)\n CASE (dbcsr_type_symmetric)\n CALL dbcsr_block_transpose(data_values_tr, data_values, &\n row_size=row_blk_sizes(s_row), col_size=col_blk_sizes(s_col), lb=1, source_lb=1)\n CASE (dbcsr_type_antisymmetric)\n CALL dbcsr_block_transpose(data_values_tr, data_values, &\n row_size=row_blk_sizes(s_row), col_size=col_blk_sizes(s_col), lb=1, source_lb=1, &\n scale=dbcsr_scalar_negative(dbcsr_scalar_one(my_data_type)))\n CASE (dbcsr_type_hermitian)\n CALL dbcsr_block_transpose(data_values_tr, data_values, &\n row_size=row_blk_sizes(s_row), col_size=col_blk_sizes(s_col), lb=1, source_lb=1)\n CALL dbcsr_block_conjg(data_values_tr, row_size=col_blk_sizes(s_col), col_size=row_blk_sizes(s_row), &\n lb=1)\n CASE (dbcsr_type_antihermitian)\n CALL dbcsr_block_transpose(data_values_tr, data_values, &\n row_size=row_blk_sizes(s_row), col_size=col_blk_sizes(s_col), lb=1, source_lb=1, &\n scale=dbcsr_scalar_negative(dbcsr_scalar_one(my_data_type)))\n CALL dbcsr_block_conjg(data_values_tr, row_size=col_blk_sizes(s_col), col_size=row_blk_sizes(s_row), &\n lb=1)\n CASE DEFAULT\n DBCSR_ABORT(\"wrong matrix symmetry\")\n END SELECT\n CALL dbcsr_put_block(matrix, s_row, s_col, data_values_tr, summation=.TRUE.)\n END IF\n END DO\n\n CALL dbcsr_data_release(data_values)\n CALL dbcsr_data_release(data_values_tr)\n\n CALL dbcsr_distribution_release(new_dist)\n CALL dbcsr_finalize(matrix)\n CALL dbcsr_verify_matrix(matrix)\n !\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_make_random_matrix\n\n SUBROUTINE dbcsr_make_random_block_sizes(block_sizes, size_sum, size_mix)\n INTEGER, DIMENSION(:), INTENT(out), POINTER :: block_sizes\n INTEGER, INTENT(in) :: size_sum\n INTEGER, DIMENSION(:), INTENT(in) :: size_mix\n\n INTEGER :: block_size, current_sum, nblocks, &\n nsize_mix, selector\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: mixer\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: sizes\n\n!\n\n NULLIFY (sizes)\n nsize_mix = SIZE(size_mix)/2\n ALLOCATE (mixer(3, nsize_mix))\n mixer(1, :) = size_mix(1:nsize_mix*2 - 1:2)\n mixer(2, :) = size_mix(2:nsize_mix*2:2)\n mixer(3, :) = 1\n nblocks = 0\n current_sum = 0\n CALL ensure_array_size(sizes, lb=1, ub=1)\n\n selector = 1\n !\n DO WHILE (current_sum .LT. size_sum)\n nblocks = nblocks + 1\n !CALL RANDOM_NUMBER(value)\n !block_size = MIN (INT (value(1) * size_max),&\n ! size_sum - current_sum)\n block_size = MIN(mixer(2, selector), &\n size_sum - current_sum)\n sizes(nblocks) = block_size\n current_sum = current_sum + block_size\n CALL ensure_array_size(sizes, ub=nblocks + 1, factor=2.0_dp)\n mixer(3, selector) = mixer(3, selector) + 1\n IF (mixer(3, selector) .GT. mixer(1, selector)) THEN\n mixer(3, selector) = 1\n selector = MOD(selector, nsize_mix) + 1\n END IF\n END DO\n ALLOCATE (block_sizes(nblocks))\n block_sizes = sizes(1:nblocks)\n current_sum = SUM(block_sizes)\n IF (current_sum /= size_sum) &\n DBCSR_ABORT(\"Incorrect block sizes\")\n DEALLOCATE (mixer, sizes)\n\n END SUBROUTINE dbcsr_make_random_block_sizes\n\n SUBROUTINE dbcsr_make_null_mp(mp_env, group)\n TYPE(dbcsr_mp_obj), INTENT(out) :: mp_env\n TYPE(mp_comm_type), INTENT(in), OPTIONAL :: group\n\n INTEGER :: mynode, numnodes\n\n IF (PRESENT(group)) THEN\n CALL mp_environ(numnodes, mynode, group)\n CALL dbcsr_mp_new(mp_env, group, &\n RESHAPE((/1/), (/1, 1/)), &\n mynode, numnodes, &\n myprow=0, mypcol=0)\n ELSE\n CALL dbcsr_mp_new(mp_env, MP_COMM_NULL, &\n RESHAPE((/1/), (/1, 1/)), &\n 0, 1, &\n myprow=0, mypcol=0)\n END IF\n END SUBROUTINE dbcsr_make_null_mp\n !\n SUBROUTINE dbcsr_make_null_dist(distribution, nblkrows, nblkcols, group)\n TYPE(dbcsr_distribution_obj), INTENT(out) :: distribution\n INTEGER, INTENT(in) :: nblkrows, nblkcols\n TYPE(mp_comm_type), INTENT(in), OPTIONAL :: group\n\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist, row_dist\n TYPE(dbcsr_mp_obj) :: mp_env\n\n CALL dbcsr_make_null_mp(mp_env, group=group)\n ALLOCATE (row_dist(nblkrows), col_dist(nblkcols))\n row_dist = 0\n col_dist = 0\n CALL dbcsr_distribution_new(distribution, mp_env, &\n row_dist, col_dist, reuse_arrays=.TRUE.)\n CALL dbcsr_mp_release(mp_env)\n END SUBROUTINE dbcsr_make_null_dist\n\nEND MODULE dbcsr_test_methods\n" }, { "path": "src/ops/dbcsr_tests.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tests\n !! Tests for CP2K DBCSR operations\n USE dbcsr_data_methods, ONLY: dbcsr_scalar\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_mp, &\n dbcsr_distribution_new, &\n dbcsr_distribution_release\n USE dbcsr_dist_operations, ONLY: dbcsr_dist_bin\n USE dbcsr_dist_util, ONLY: dbcsr_checksum\n USE dbcsr_io, ONLY: dbcsr_binary_read, &\n dbcsr_binary_write\n USE dbcsr_kinds, ONLY: dp, &\n int_8, &\n real_8\n USE dbcsr_machine, ONLY: m_flush, &\n m_walltime\n USE dbcsr_methods, ONLY: dbcsr_col_block_sizes, &\n dbcsr_distribution, &\n dbcsr_get_data_type, &\n dbcsr_name, &\n dbcsr_nblkcols_total, &\n dbcsr_nblkrows_total, &\n dbcsr_release, &\n dbcsr_row_block_sizes\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_active, &\n dbcsr_mp_group, &\n dbcsr_mp_init, &\n dbcsr_mp_new, &\n dbcsr_mp_npcols, &\n dbcsr_mp_nprows, &\n dbcsr_mp_release, &\n dbcsr_mp_make_env\n USE dbcsr_mpiwrap, ONLY: &\n mp_comm_free, mp_environ, mp_max, mp_sum, mp_sync, mp_comm_type\n USE dbcsr_multiply_api, ONLY: dbcsr_multiply\n USE dbcsr_operations, ONLY: dbcsr_add, &\n dbcsr_copy, &\n dbcsr_frobenius_norm\n USE dbcsr_test_methods, ONLY: dbcsr_make_random_block_sizes, &\n dbcsr_make_random_matrix\n USE dbcsr_transformations, ONLY: dbcsr_redistribute\n USE dbcsr_types, ONLY: dbcsr_distribution_obj, &\n dbcsr_mp_obj, &\n dbcsr_scalar_type, &\n dbcsr_type, &\n dbcsr_type_no_symmetry\n USE dbcsr_work_operations, ONLY: dbcsr_create\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: dbcsr_run_tests, dbcsr_test_mm, dbcsr_test_binary_io\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tests'\n\n INTEGER, PARAMETER :: dbcsr_test_mm = 1\n INTEGER, PARAMETER :: dbcsr_test_binary_io = 2\n\nCONTAINS\n\n SUBROUTINE dbcsr_run_tests(mp_group, io_unit, nproc, &\n matrix_sizes, trs, &\n bs_m, bs_n, bs_k, sparsities, alpha, beta, data_type, test_type, &\n n_loops, eps, retain_sparsity, always_checksum)\n !! Performs a variety of matrix multiplies of same matrices on different\n !! processor grids\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n INTEGER, INTENT(IN) :: io_unit\n !! MPI communicator\n !! which unit to write to, if not negative\n INTEGER, DIMENSION(:), POINTER :: nproc\n !! number of processors to test on\n INTEGER, DIMENSION(:), INTENT(in) :: matrix_sizes\n !! size of matrices to test\n LOGICAL, DIMENSION(2), INTENT(in) :: trs\n !! transposes of the two matrices\n INTEGER, DIMENSION(:), POINTER :: bs_m, bs_n, bs_k\n !! block sizes of the 3 dimensions\n !! block sizes of the 3 dimensions\n !! block sizes of the 3 dimensions\n REAL(kind=dp), DIMENSION(3), INTENT(in) :: sparsities\n !! sparsities of matrices to create\n REAL(kind=dp), INTENT(in) :: alpha, beta\n !! alpha value to use in multiply\n !! beta value to use in multiply\n INTEGER, INTENT(IN) :: data_type, test_type, n_loops\n !! matrix data type\n !! number of repetition for each multiplication\n REAL(kind=dp), INTENT(in) :: eps\n !! eps value for filtering\n LOGICAL, INTENT(in) :: retain_sparsity, always_checksum\n !! checksum after each multiplication\n\n CHARACTER(len=*), PARAMETER :: fmt_desc = '(A,3(1X,I6),1X,A,2(1X,I5),1X,A,2(1X,L1))', &\n routineN = 'dbcsr_run_tests'\n\n CHARACTER :: t_a, t_b\n INTEGER :: bmax, bmin, error_handle, &\n mynode, numnodes\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: group_sizes\n INTEGER, DIMENSION(2) :: npdims\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist_a, col_dist_b, col_dist_c, &\n row_dist_a, row_dist_b, row_dist_c, &\n sizes_k, sizes_m, sizes_n\n LOGICAL :: pgiven\n TYPE(dbcsr_distribution_obj) :: dist_a, dist_b, dist_c\n TYPE(dbcsr_mp_obj) :: mp_env\n TYPE(dbcsr_type), TARGET :: matrix_a, matrix_b, matrix_c\n TYPE(mp_comm_type) :: cart_group\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n ! Create the row/column block sizes.\n IF (ASSOCIATED(bs_m)) THEN\n bmin = MINVAL(bs_m(2::2))\n bmax = MAXVAL(bs_m(2::2))\n CALL dbcsr_make_random_block_sizes(sizes_m, matrix_sizes(1), bs_m)\n ELSE\n CALL dbcsr_make_random_block_sizes(sizes_m, matrix_sizes(1), (/1, 13, 2, 5/))\n bmin = 5; bmax = 13\n END IF\n IF (ASSOCIATED(bs_n)) THEN\n bmin = MIN(bmin, MINVAL(bs_n(2::2)))\n bmax = MAX(bmax, MAXVAL(bs_n(2::2)))\n CALL dbcsr_make_random_block_sizes(sizes_n, matrix_sizes(2), bs_n)\n ELSE\n CALL dbcsr_make_random_block_sizes(sizes_n, matrix_sizes(2), (/1, 13, 2, 5/))\n bmin = MIN(bmin, 5); bmax = MAX(bmax, 13)\n END IF\n IF (ASSOCIATED(bs_k)) THEN\n bmin = MIN(bmin, MINVAL(bs_k(2::2)))\n bmax = MAX(bmax, MAXVAL(bs_k(2::2)))\n CALL dbcsr_make_random_block_sizes(sizes_k, matrix_sizes(3), bs_k)\n ELSE\n CALL dbcsr_make_random_block_sizes(sizes_k, matrix_sizes(3), (/1, 13, 2, 5/))\n bmin = MIN(bmin, 5); bmax = MAX(bmax, 13)\n END IF\n !\n ! Create dist\n\n ! Create the random matrices.\n CALL dbcsr_mp_make_env(mp_env, cart_group, mp_group)\n npdims(1) = dbcsr_mp_nprows(mp_env)\n npdims(2) = dbcsr_mp_npcols(mp_env)\n CALL dbcsr_dist_bin(row_dist_c, SIZE(sizes_m), npdims(1), &\n sizes_m)\n CALL dbcsr_dist_bin(col_dist_c, SIZE(sizes_n), npdims(2), &\n sizes_n)\n CALL dbcsr_distribution_new(dist_c, mp_env, row_dist_c, col_dist_c)\n CALL dbcsr_make_random_matrix(matrix_c, sizes_m, sizes_n, \"Matrix C\", &\n REAL(sparsities(3), real_8), &\n mp_group, data_type=data_type, dist=dist_c)\n CALL dbcsr_distribution_release(dist_c)\n IF (trs(1)) THEN\n CALL dbcsr_dist_bin(row_dist_a, SIZE(sizes_k), npdims(1), &\n sizes_k)\n CALL dbcsr_dist_bin(col_dist_a, SIZE(sizes_m), npdims(2), &\n sizes_m)\n CALL dbcsr_distribution_new(dist_a, mp_env, row_dist_a, col_dist_a)\n CALL dbcsr_make_random_matrix(matrix_a, sizes_k, sizes_m, \"Matrix A\", &\n REAL(sparsities(1), real_8), &\n mp_group, data_type=data_type, dist=dist_a)\n DEALLOCATE (row_dist_a, col_dist_a)\n ELSE\n CALL dbcsr_dist_bin(col_dist_a, SIZE(sizes_k), npdims(2), &\n sizes_k)\n CALL dbcsr_distribution_new(dist_a, mp_env, row_dist_c, col_dist_a)\n CALL dbcsr_make_random_matrix(matrix_a, sizes_m, sizes_k, \"Matrix A\", &\n REAL(sparsities(1), real_8), &\n mp_group, data_type=data_type, dist=dist_a)\n DEALLOCATE (col_dist_a)\n END IF\n CALL dbcsr_distribution_release(dist_a)\n IF (trs(2)) THEN\n CALL dbcsr_dist_bin(row_dist_b, SIZE(sizes_n), npdims(1), &\n sizes_n)\n CALL dbcsr_dist_bin(col_dist_b, SIZE(sizes_k), npdims(2), &\n sizes_k)\n CALL dbcsr_distribution_new(dist_b, mp_env, row_dist_b, col_dist_b)\n CALL dbcsr_make_random_matrix(matrix_b, sizes_n, sizes_k, \"Matrix B\", &\n REAL(sparsities(2), real_8), &\n mp_group, data_type=data_type, dist=dist_b)\n DEALLOCATE (row_dist_b, col_dist_b)\n ELSE\n CALL dbcsr_dist_bin(row_dist_b, SIZE(sizes_k), npdims(1), &\n sizes_k)\n CALL dbcsr_distribution_new(dist_b, mp_env, row_dist_b, col_dist_c)\n CALL dbcsr_make_random_matrix(matrix_b, sizes_k, sizes_n, \"Matrix B\", &\n REAL(sparsities(2), real_8), &\n mp_group, data_type=data_type, dist=dist_b)\n DEALLOCATE (row_dist_b)\n END IF\n CALL dbcsr_mp_release(mp_env)\n CALL dbcsr_distribution_release(dist_b)\n DEALLOCATE (row_dist_c, col_dist_c)\n DEALLOCATE (sizes_m, sizes_n, sizes_k)\n ! Prepare test parameters\n IF (io_unit .GT. 0) THEN\n WRITE (io_unit, fmt_desc) \"Testing with sizes\", matrix_sizes(1:3), &\n \"min/max block sizes\", bmin, bmax, \"transposed?\", trs(1:2)\n END IF\n CALL mp_environ(numnodes, mynode, mp_group)\n pgiven = ASSOCIATED(nproc)\n IF (pgiven) pgiven = nproc(1) .NE. 0\n IF (pgiven) THEN\n ALLOCATE (group_sizes(SIZE(nproc), 2))\n group_sizes(:, 1) = nproc(:)\n group_sizes(:, 2) = 0\n ELSE\n !ALLOCATE (group_sizes (numnodes, 2))\n !DO test = numnodes, 1, -1\n ! group_sizes(1+numnodes-test, 1:2) = (/ test, 0 /)\n !ENDDO\n ALLOCATE (group_sizes(1, 2))\n group_sizes(1, 1:2) = (/numnodes, 0/)\n END IF\n t_a = 'N'; IF (trs(1)) t_a = 'T'\n t_b = 'N'; IF (trs(2)) t_b = 'T'\n\n SELECT CASE (test_type)\n CASE (dbcsr_test_mm)\n CALL test_multiplies_multiproc(group_sizes, &\n matrix_a, matrix_b, matrix_c, t_a, t_b, &\n dbcsr_scalar(REAL(alpha, real_8)), dbcsr_scalar(REAL(beta, real_8)), &\n n_loops=n_loops, eps=eps, &\n io_unit=io_unit, always_checksum=always_checksum, &\n retain_sparsity=retain_sparsity)\n CASE (dbcsr_test_binary_io)\n CALL test_binary_io(matrix_a, io_unit)\n END SELECT\n\n CALL dbcsr_release(matrix_a)\n CALL dbcsr_release(matrix_b)\n CALL dbcsr_release(matrix_c)\n CALL mp_comm_free(cart_group)\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_run_tests\n\n SUBROUTINE test_binary_io(matrix_a, io_unit)\n !! dumps and retrieves a dbcsr matrix, and checks a checksum\n\n TYPE(dbcsr_type) :: matrix_a\n !! matrix to be written\n INTEGER :: io_unit\n !! unit for status updates\n\n CHARACTER(LEN=100) :: file_name\n REAL(kind=real_8) :: norm, post, pre\n TYPE(dbcsr_type) :: matrix_a_read\n\n file_name = \"test_dbcsr_binary_io.dat\"\n\n pre = dbcsr_checksum(matrix_a, pos=.TRUE.)\n\n CALL dbcsr_binary_write(matrix_a, file_name)\n\n ! needs a new matrix, reading into matrix_a does not work\n CALL dbcsr_binary_read(file_name, distribution=dbcsr_distribution(matrix_a), &\n matrix_new=matrix_a_read)\n\n post = dbcsr_checksum(matrix_a_read, pos=.TRUE.)\n CALL dbcsr_add(matrix_a_read, matrix_a, -1.0_dp, 1.0_dp)\n norm = dbcsr_frobenius_norm(matrix_a_read)\n IF (io_unit > 0) THEN\n WRITE (io_unit, *) \"checksums\", pre, post\n WRITE (io_unit, *) \"difference norm\", norm\n END IF\n\n IF (norm /= 0.0_dp) &\n DBCSR_ABORT(\"bug in binary io\")\n\n CALL dbcsr_release(matrix_a_read)\n\n END SUBROUTINE test_binary_io\n\n SUBROUTINE test_multiplies_multiproc(group_sizes, &\n matrix_a, matrix_b, matrix_c, &\n transa, transb, alpha, beta, limits, retain_sparsity, &\n n_loops, eps, &\n io_unit, always_checksum)\n !! Performs a variety of matrix multiplies of same matrices on different\n !! processor grids\n\n INTEGER, DIMENSION(:, :) :: group_sizes\n !! array of (sub) communicator sizes to test (2-D)\n TYPE(dbcsr_type), INTENT(in) :: matrix_a, matrix_b, matrix_c\n !! matrices to multiply\n !! matrices to multiply\n !! matrices to multiply\n CHARACTER, INTENT(in) :: transa, transb\n TYPE(dbcsr_scalar_type), INTENT(in) :: alpha, beta\n INTEGER, DIMENSION(6), INTENT(in), OPTIONAL :: limits\n LOGICAL, INTENT(in), OPTIONAL :: retain_sparsity\n INTEGER, INTENT(IN) :: n_loops\n REAL(kind=dp), INTENT(in) :: eps\n INTEGER, INTENT(IN) :: io_unit\n !! which unit to write to, if not negative\n LOGICAL :: always_checksum\n\n CHARACTER(len=*), PARAMETER :: routineN = 'test_multiplies_multiproc'\n\n INTEGER :: error_handle, &\n loop_iter, mynode, numnodes, test\n INTEGER(kind=int_8) :: flop, flop_sum\n INTEGER, DIMENSION(2) :: npdims\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist_a, col_dist_b, col_dist_c, &\n row_dist_a, row_dist_b, row_dist_c\n LOGICAL :: i_am_alive\n REAL(kind=real_8) :: cs, cs_pos, flops_all, t1, t2\n TYPE(dbcsr_distribution_obj) :: dist_a, dist_b, dist_c\n TYPE(dbcsr_mp_obj) :: mp_env\n TYPE(dbcsr_type) :: m_a, m_b, m_c, m_c_reserve\n TYPE(mp_comm_type) :: cart_group, group\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n IF (SIZE(group_sizes, 2) /= 2) &\n DBCSR_ABORT(\"second dimension of group_sizes must be 2\")\n p_sizes: DO test = 1, SIZE(group_sizes, 1)\n t2 = 0.0_real_8\n flop_sum = 0\n npdims(1:2) = group_sizes(test, 1:2)\n numnodes = npdims(1)*npdims(2)\n group = dbcsr_mp_group(dbcsr_distribution_mp( &\n dbcsr_distribution(matrix_c)))\n IF (numnodes .EQ. 0) THEN\n CALL dbcsr_mp_make_env(mp_env, cart_group, group, nprocs=MAXVAL(npdims))\n ELSE\n CALL dbcsr_mp_make_env(mp_env, cart_group, group, pgrid_dims=npdims)\n END IF\n IF (numnodes < 0) &\n DBCSR_ABORT(\"Cartesian sides must be greater or equal to 0\")\n i_am_alive = dbcsr_mp_active(mp_env)\n alive: IF (i_am_alive) THEN\n npdims(1) = dbcsr_mp_nprows(mp_env)\n npdims(2) = dbcsr_mp_npcols(mp_env)\n group = dbcsr_mp_group(mp_env)\n CALL mp_environ(numnodes, mynode, group)\n ! Row & column distributions\n CALL dbcsr_dist_bin(row_dist_a, &\n dbcsr_nblkrows_total(matrix_a), npdims(1), &\n dbcsr_row_block_sizes(matrix_a))\n CALL dbcsr_dist_bin(col_dist_a, &\n dbcsr_nblkcols_total(matrix_a), npdims(2), &\n dbcsr_col_block_sizes(matrix_a))\n CALL dbcsr_dist_bin(row_dist_b, &\n dbcsr_nblkrows_total(matrix_b), npdims(1), &\n dbcsr_row_block_sizes(matrix_b))\n CALL dbcsr_dist_bin(col_dist_b, &\n dbcsr_nblkcols_total(matrix_b), npdims(2), &\n dbcsr_col_block_sizes(matrix_b))\n CALL dbcsr_dist_bin(row_dist_c, &\n dbcsr_nblkrows_total(matrix_c), npdims(1), &\n dbcsr_row_block_sizes(matrix_c))\n CALL dbcsr_dist_bin(col_dist_c, &\n dbcsr_nblkcols_total(matrix_c), npdims(2), &\n dbcsr_col_block_sizes(matrix_c))\n CALL dbcsr_distribution_new(dist_a, &\n mp_env, row_dist_a, col_dist_a, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_b, &\n mp_env, row_dist_b, col_dist_b, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_c, &\n mp_env, row_dist_c, col_dist_c, reuse_arrays=.TRUE.)\n ! Redistribute the matrices\n ! A\n CALL dbcsr_create(m_a, \"Test for \"//TRIM(dbcsr_name(matrix_a)), &\n dist_a, dbcsr_type_no_symmetry, &\n row_blk_size_obj=matrix_a%row_blk_size, &\n col_blk_size_obj=matrix_a%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_a))\n CALL dbcsr_distribution_release(dist_a)\n CALL dbcsr_redistribute(matrix_a, m_a)\n ! B\n CALL dbcsr_create(m_b, \"Test for \"//TRIM(dbcsr_name(matrix_b)), &\n dist_b, dbcsr_type_no_symmetry, &\n row_blk_size_obj=matrix_b%row_blk_size, &\n col_blk_size_obj=matrix_b%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_b))\n CALL dbcsr_distribution_release(dist_b)\n CALL dbcsr_redistribute(matrix_b, m_b)\n ! C\n CALL dbcsr_create(m_c, \"Test for \"//TRIM(dbcsr_name(matrix_c)), &\n dist_c, dbcsr_type_no_symmetry, &\n row_blk_size_obj=matrix_c%row_blk_size, &\n col_blk_size_obj=matrix_c%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_c))\n CALL dbcsr_distribution_release(dist_c)\n CALL dbcsr_redistribute(matrix_c, m_c)\n CALL dbcsr_copy(m_c_reserve, m_c)\n ! Perform multiply\n loops: DO loop_iter = 1, n_loops\n CALL dbcsr_release(m_c)\n CALL dbcsr_copy(m_c, m_c_reserve)\n CALL mp_sync(group)\n t1 = -m_walltime()\n IF (PRESENT(limits)) THEN\n IF (eps .LE. -0.0_dp) THEN\n CALL dbcsr_multiply(transa, transb, alpha, &\n m_a, m_b, beta, m_c, &\n first_row=limits(1), &\n last_row=limits(2), &\n first_column=limits(3), &\n last_column=limits(4), &\n first_k=limits(5), &\n last_k=limits(6), &\n retain_sparsity=retain_sparsity, flop=flop)\n ELSE\n CALL dbcsr_multiply(transa, transb, alpha, &\n m_a, m_b, beta, m_c, &\n first_row=limits(1), &\n last_row=limits(2), &\n first_column=limits(3), &\n last_column=limits(4), &\n first_k=limits(5), &\n last_k=limits(6), &\n retain_sparsity=retain_sparsity, flop=flop, &\n filter_eps=eps)\n END IF\n ELSE\n IF (eps .LE. -0.0_dp) THEN\n CALL dbcsr_multiply(transa, transb, alpha, &\n m_a, m_b, beta, m_c, &\n retain_sparsity=retain_sparsity, flop=flop)\n ELSE\n CALL dbcsr_multiply(transa, transb, alpha, &\n m_a, m_b, beta, m_c, &\n retain_sparsity=retain_sparsity, flop=flop, &\n filter_eps=eps)\n END IF\n END IF\n t1 = t1 + m_walltime()\n t2 = t2 + t1\n flop_sum = flop_sum + flop\n !\n CALL mp_max(t1, group)\n CALL mp_sum(flop, group)\n t1 = MAX(t1, EPSILON(t1))\n flops_all = REAL(flop, KIND=real_8)/t1/numnodes/(1024*1024)\n IF (io_unit .GT. 0) THEN\n WRITE (io_unit, '(A,I5,A,I5,A,F12.3,A,I9,A)') &\n \" loop \", loop_iter, \" with \", numnodes, \" MPI ranks: using \", t1, \"s \", INT(flops_all), \" Mflops/rank\"\n CALL m_flush(io_unit)\n END IF\n IF (loop_iter .EQ. n_loops .OR. always_checksum) THEN\n cs = dbcsr_checksum(m_c)\n cs_pos = dbcsr_checksum(m_c, pos=.TRUE.)\n IF (io_unit > 0) THEN\n WRITE (io_unit, *) \"Final checksums\", cs, cs_pos\n END IF\n END IF\n END DO loops\n ! Release\n CALL dbcsr_mp_release(mp_env)\n CALL dbcsr_release(m_a)\n CALL dbcsr_release(m_b)\n CALL dbcsr_release(m_c)\n CALL dbcsr_release(m_c_reserve)\n END IF alive\n CALL mp_comm_free(cart_group)\n END DO p_sizes\n CALL timestop(error_handle)\n END SUBROUTINE test_multiplies_multiproc\n\nEND MODULE dbcsr_tests\n" }, { "path": "src/ops/dbcsr_transformations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_transformations\n !! DBCSR transformations\n USE dbcsr_array_types, ONLY: array_data, &\n array_hold, &\n array_i1d_obj, &\n array_release\n USE dbcsr_block_access, ONLY: dbcsr_get_block_p, &\n dbcsr_put_block\n USE dbcsr_block_operations, ONLY: dbcsr_block_conjg, &\n dbcsr_block_partial_copy, &\n dbcsr_block_real_neg, &\n dbcsr_block_transpose, &\n dbcsr_data_clear, &\n dbcsr_data_copy, &\n dbcsr_data_set\n USE dbcsr_data_methods, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_ensure_size, dbcsr_data_get_memory_type, &\n dbcsr_data_get_size, dbcsr_data_get_size_referenced, dbcsr_data_get_type, dbcsr_data_hold, &\n dbcsr_data_init, dbcsr_data_new, dbcsr_data_release, dbcsr_data_set_pointer, &\n dbcsr_data_set_size_referenced, dbcsr_get_data, dbcsr_type_1d_to_2d\n USE dbcsr_data_operations, ONLY: dbcsr_copy_sort_data, &\n dbcsr_switch_data_area\n USE dbcsr_dist_methods, ONLY: &\n dbcsr_distribution_col_dist, dbcsr_distribution_hold, dbcsr_distribution_local_cols, &\n dbcsr_distribution_local_rows, dbcsr_distribution_mp, dbcsr_distribution_ncols, &\n dbcsr_distribution_nlocal_cols, dbcsr_distribution_nlocal_rows, dbcsr_distribution_nrows, &\n dbcsr_distribution_release, dbcsr_distribution_row_dist\n USE dbcsr_dist_operations, ONLY: dbcsr_get_local_cols, &\n dbcsr_get_local_rows, &\n dbcsr_get_stored_coordinates, &\n dbcsr_reblocking_targets, &\n dbcsr_transpose_dims, &\n dbcsr_transpose_distribution\n USE dbcsr_dist_util, ONLY: convert_sizes_to_offsets, &\n dbcsr_checksum, &\n dbcsr_pack_meta, &\n dbcsr_unpack_meta, &\n dbcsr_verify_matrix, &\n get_internal_offsets, &\n global_offsets_to_local, &\n nfull_elements\n USE dbcsr_index_operations, ONLY: dbcsr_addto_index_array, &\n dbcsr_clearfrom_index_array, &\n dbcsr_repoint_index, &\n make_dense_index, &\n make_undense_index, &\n transpose_index_local\n USE dbcsr_iterator_operations, ONLY: dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block, &\n dbcsr_iterator_start, &\n dbcsr_iterator_stop\n USE dbcsr_kinds, ONLY: dp, &\n int_8, &\n sp\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_sizes, dbcsr_distribution, dbcsr_get_data_type, dbcsr_get_matrix_type, &\n dbcsr_has_symmetry, dbcsr_nblkcols_total, dbcsr_nblkrows_total, dbcsr_nfullcols_total, &\n dbcsr_nfullrows_total, dbcsr_release, dbcsr_row_block_sizes, dbcsr_valid_index\n USE dbcsr_mp_methods, ONLY: &\n dbcsr_mp_grid_remove, dbcsr_mp_grid_setup, dbcsr_mp_group, dbcsr_mp_has_subgroups, &\n dbcsr_mp_my_col_group, dbcsr_mp_my_row_group, dbcsr_mp_mynode, dbcsr_mp_mypcol, &\n dbcsr_mp_myprow, dbcsr_mp_npcols, dbcsr_mp_nprows, dbcsr_mp_numnodes, dbcsr_mp_pgrid\n USE dbcsr_mp_operations, ONLY: dbcsr_allgatherv, &\n hybrid_alltoall_any, &\n hybrid_alltoall_c1, &\n hybrid_alltoall_d1, &\n hybrid_alltoall_i1, &\n hybrid_alltoall_s1, &\n hybrid_alltoall_z1\n USE dbcsr_mpiwrap, ONLY: mp_allgather, &\n mp_alltoall, mp_comm_type\n USE dbcsr_operations, ONLY: dbcsr_set\n USE dbcsr_ptr_util, ONLY: pointer_view\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_iterator, dbcsr_meta_size, dbcsr_mp_obj, &\n dbcsr_repl_col, dbcsr_repl_full, dbcsr_repl_none, dbcsr_repl_row, dbcsr_slot_blk_p, &\n dbcsr_slot_col_i, dbcsr_slot_home_pcol, dbcsr_slot_home_prow, dbcsr_slot_nblks, &\n dbcsr_slot_nze, dbcsr_slot_row_p, dbcsr_type, dbcsr_type_complex_4, dbcsr_type_complex_8, &\n dbcsr_type_no_symmetry, dbcsr_type_real_4, dbcsr_type_real_8\n USE dbcsr_work_operations, ONLY: dbcsr_create, &\n dbcsr_finalize, &\n dbcsr_work_create\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_transformations'\n\n LOGICAL, PARAMETER, PRIVATE :: careful_mod = .FALSE.\n\n PUBLIC :: dbcsr_desymmetrize_deep, &\n dbcsr_new_transposed, &\n dbcsr_transposed, &\n dbcsr_complete_redistribute, &\n dbcsr_redistribute, dbcsr_make_untransposed_blocks\n PUBLIC :: dbcsr_replicate_all, dbcsr_distribute, dbcsr_datablock_redistribute\n PUBLIC :: dbcsr_make_dense, dbcsr_make_undense, dbcsr_make_dense_low\n\nCONTAINS\n\n SUBROUTINE dbcsr_new_transposed(transposed, normal, shallow_data_copy, &\n transpose_data, transpose_distribution, transpose_index, &\n use_distribution, redistribute)\n !! Transposes a DBCSR matrix.\n !!\n !! Distribution options\n !! By default the distribution is transposed. If transpose_distribution\n !! is false, then an undetermined distribution is created that is\n !! compatible with the same process grid.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: transposed\n !! transposed DBCSR matrix\n TYPE(dbcsr_type), INTENT(IN) :: normal\n !! input DBCSR matrix\n LOGICAL, INTENT(IN), OPTIONAL :: shallow_data_copy, transpose_data, &\n transpose_distribution, transpose_index\n !! only shallow data_copy; default is no; if set, the transpose_data option is ignored\n !! transpose data blocks, default is True\n !! transpose the distribution from the input matrix, default is True\n !! transpose the index (default=yes) or turn it into BCSC\n TYPE(dbcsr_distribution_obj), INTENT(IN), OPTIONAL :: use_distribution\n !! use this distribution\n LOGICAL, INTENT(IN), OPTIONAL :: redistribute\n !! redistributes the matrix; default is .TRUE. unless shallow or transpose_distribution are set.\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_new_transposed'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle, stat\n INTEGER, ALLOCATABLE, DIMENSION(:) :: blk_p\n LOGICAL :: redist, shallow, tr_blocks, tr_dist, &\n tr_index\n TYPE(dbcsr_distribution_obj) :: new_dist\n TYPE(dbcsr_type) :: t2\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. dbcsr_valid_index(normal)) &\n DBCSR_ABORT(\"Matrix does not exist.\")\n ! Internalize options\n shallow = .FALSE.\n IF (PRESENT(shallow_data_copy)) shallow = shallow_data_copy\n tr_blocks = .TRUE.\n IF (PRESENT(transpose_data)) tr_blocks = transpose_data\n tr_dist = .TRUE.\n IF (PRESENT(transpose_distribution)) tr_dist = transpose_distribution\n tr_index = .TRUE.\n IF (PRESENT(transpose_index)) tr_index = transpose_index\n ! Prepare the distribution for the transposed matrix\n IF (PRESENT(use_distribution)) THEN\n IF (dbcsr_distribution_nrows(use_distribution) /= dbcsr_distribution_ncols(normal%dist)) &\n DBCSR_ABORT(\"Given distribution must be compatible with the current distribution\")\n IF (dbcsr_distribution_ncols(use_distribution) /= dbcsr_distribution_nrows(normal%dist)) &\n DBCSR_ABORT(\"Given distribution must be compatible with the current distribution\")\n new_dist = use_distribution\n CALL dbcsr_distribution_hold(new_dist)\n ELSE\n IF (tr_dist) THEN\n CALL dbcsr_transpose_distribution(new_dist, normal%dist)\n ELSE\n CALL dbcsr_transpose_dims(new_dist, normal%dist)\n END IF\n END IF\n ! Create the transposed matrix\n CALL dbcsr_create(transposed, name=\"transposed \"//TRIM(normal%name), &\n template=normal, &\n dist=new_dist, &\n row_blk_size_obj=normal%col_blk_size, &\n col_blk_size_obj=normal%row_blk_size, &\n matrix_type=dbcsr_get_matrix_type(normal), &\n max_rbs=normal%max_cbs, &\n max_cbs=normal%max_rbs, &\n row_blk_offset=normal%col_blk_offset, &\n col_blk_offset=normal%row_blk_offset)\n CALL dbcsr_distribution_release(new_dist)\n ! Reserve the space for the new indices.\n IF (tr_index) THEN\n CALL dbcsr_addto_index_array(transposed, dbcsr_slot_row_p, &\n reservation=transposed%nblkrows_total + 1, extra=transposed%nblks*2)\n ELSE\n CALL dbcsr_addto_index_array(transposed, dbcsr_slot_row_p, &\n reservation=normal%nblkrows_total + 1, extra=transposed%nblks*2)\n END IF\n CALL dbcsr_addto_index_array(transposed, dbcsr_slot_col_i, &\n reservation=normal%nblks)\n CALL dbcsr_addto_index_array(transposed, dbcsr_slot_blk_p, &\n reservation=normal%nblks)\n CALL dbcsr_repoint_index(transposed)\n IF (.NOT. shallow) THEN\n CALL dbcsr_data_ensure_size(transposed%data_area, &\n dbcsr_data_get_size_referenced(normal%data_area), &\n nocopy=.TRUE.)\n END IF\n !\n transposed%nblks = normal%nblks\n transposed%nze = normal%nze\n transposed%index(dbcsr_slot_nblks) = normal%nblks\n transposed%index(dbcsr_slot_nze) = normal%nze\n ! Transpose the local index.\n ALLOCATE (blk_p(normal%nblks), stat=stat)\n IF (stat /= 0) DBCSR_ABORT(\"blk_p\")\n IF (tr_index) THEN\n CALL transpose_index_local(transposed%row_p, transposed%col_i, &\n normal%row_p, normal%col_i, blk_p, normal%blk_p)\n IF (dbg) THEN\n WRITE (*, *) 'orig. row_p', normal%row_p\n WRITE (*, *) 'orig. col_i', normal%col_i\n WRITE (*, *) 'orig. blk_p', normal%blk_p\n WRITE (*, *) 'new . row_p', transposed%row_p\n WRITE (*, *) 'new . col_i', transposed%col_i\n WRITE (*, *) 'new . blk_p', blk_p!transposed%blk_p\n END IF\n ELSE\n transposed%row_p(:) = normal%row_p(:)\n transposed%col_i(:) = normal%col_i(:)\n blk_p(:) = normal%blk_p(:)\n !transposed%transpose = .TRUE.\n END IF\n ! Copy the data\n IF (shallow) THEN\n CALL dbcsr_switch_data_area(transposed, normal%data_area)\n transposed%blk_p(1:transposed%nblks) = &\n -blk_p(1:transposed%nblks)\n ELSE\n CALL dbcsr_copy_sort_data(transposed%blk_p, blk_p, transposed%row_p, &\n transposed%col_i, array_data(transposed%row_blk_size), &\n array_data(transposed%col_blk_size), &\n transposed%data_area, normal%data_area, &\n mark_transposed=.not. tr_blocks, &\n transpose_blocks=tr_blocks)\n END IF\n transposed%valid = .TRUE.\n !CALL dbcsr_copy_sort_data (transposed%blk_p, blk_p, transposed%row_p,&\n ! transposed%col_i, array_data (transposed%row_blk_size),&\n ! array_data (transposed%col_blk_size),&\n ! transposed%data_area, normal%data_area,&\n ! transpose_blocks=.TRUE.)\n !\n1315 FORMAT(I5, 1X, I5, 1X, I5, 1X, I5, 1X, I5, 1X, I5, 1X, I5, 1X, I5, 1X, I5, 1X, I5)\n IF (dbg) THEN\n WRITE (*, *) 'new FINAL index'\n WRITE (*, 1315) transposed%row_p\n WRITE (*, 1315) transposed%col_i\n WRITE (*, 1315) transposed%blk_p\n END IF\n !\n IF (tr_index) DEALLOCATE (blk_p)\n !\n IF (PRESENT(redistribute)) THEN\n redist = redistribute\n ELSE\n redist = .NOT. tr_dist .AND. .NOT. shallow\n END IF\n IF (redist) THEN\n !write (*,*)routineN//\" redistributing\"\n CALL dbcsr_create(t2, template=transposed)\n CALL dbcsr_redistribute(transposed, t2)\n CALL dbcsr_release(transposed)\n transposed = t2\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_new_transposed\n\n SUBROUTINE dbcsr_transposed(transposed, normal, shallow_data_copy, &\n !! Transposes a DBCSR matrix, keeping the same distribution\n transpose_data, transpose_distribution, use_distribution)\n\n TYPE(dbcsr_type), INTENT(INOUT) :: transposed\n TYPE(dbcsr_type), INTENT(IN) :: normal\n LOGICAL, INTENT(IN), OPTIONAL :: shallow_data_copy, transpose_data, &\n transpose_distribution\n TYPE(dbcsr_distribution_obj), INTENT(IN), &\n OPTIONAL :: use_distribution\n\n LOGICAL :: myshallow_data_copy, &\n mytranspose_distribution\n TYPE(dbcsr_distribution_obj) :: myuse_distribution\n\n! set some defaults to make usage a bit less painful (fschiff)\n\n myshallow_data_copy = .FALSE.\n myuse_distribution = normal%dist\n mytranspose_distribution = .FALSE.\n IF (PRESENT(shallow_data_copy)) myshallow_data_copy = shallow_data_copy\n IF (PRESENT(use_distribution)) myuse_distribution = use_distribution\n IF (PRESENT(transpose_distribution)) mytranspose_distribution = transpose_distribution\n\n CALL dbcsr_new_transposed(transposed, normal, myshallow_data_copy, &\n transpose_data, mytranspose_distribution, &\n use_distribution=myuse_distribution)\n END SUBROUTINE dbcsr_transposed\n\n SUBROUTINE dbcsr_desymmetrize_deep(sm, desm, untransposed_data)\n !! Duplicates data in symmetric matrix to make it normal (w.r.t. data\n !! structure. Can handle symmetric/antisymmetric/hermitian/skewhermitian\n !! matrices\n\n TYPE(dbcsr_type), INTENT(IN) :: sm\n !! input symmetric matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: desm\n !! desymmetrized matrix\n LOGICAL, INTENT(IN), OPTIONAL :: untransposed_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_desymmetrize_deep'\n INTEGER, PARAMETER :: idata = 2, imeta = 1, metalen = 3\n\n INTEGER :: blk, blk_l, blk_p, blk_ps, blks, col, col_size, dst_p, handle, &\n nsymmetries, numproc, nze, pcol, prow, row, row_size, src_p, stored_col, stored_row, &\n symmetry_i\n INTEGER, ALLOCATABLE, DIMENSION(:) :: rd_disp, recv_meta, rm_disp, sd_disp, &\n sdp, send_meta, sm_disp, smp\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: recv_count, send_count, &\n total_recv_count, total_send_count\n INTEGER, DIMENSION(:), POINTER :: col_blk_size, col_dist, row_blk_size, &\n row_dist\n INTEGER, DIMENSION(:, :), POINTER :: blacs2mpi\n LOGICAL :: make_untr, tr\n TYPE(dbcsr_data_obj) :: recv_data, send_data\n TYPE(dbcsr_distribution_obj) :: target_dist\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_mp_obj) :: mp_obj\n TYPE(mp_comm_type) :: mp_group\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. dbcsr_valid_index(sm)) &\n DBCSR_ABORT(\"Input matrix is invalid.\")\n IF (dbcsr_valid_index(desm)) THEN\n CALL dbcsr_release(desm)\n END IF\n CALL dbcsr_create(desm, sm, matrix_type=\"N\")\n\n IF (PRESENT(untransposed_data)) THEN\n make_untr = untransposed_data\n ELSE\n make_untr = .FALSE.\n END IF\n nsymmetries = 1\n IF (sm%symmetry) THEN\n nsymmetries = 2\n END IF\n row_blk_size => array_data(sm%row_blk_size)\n col_blk_size => array_data(sm%col_blk_size)\n target_dist = sm%dist\n row_dist => dbcsr_distribution_row_dist(target_dist)\n col_dist => dbcsr_distribution_col_dist(target_dist)\n mp_obj = dbcsr_distribution_mp(target_dist)\n blacs2mpi => dbcsr_mp_pgrid(mp_obj)\n numproc = dbcsr_mp_numnodes(mp_obj)\n mp_group = dbcsr_mp_group(mp_obj)\n !\n ALLOCATE (send_count(2, 0:numproc - 1))\n ALLOCATE (recv_count(2, 0:numproc - 1))\n ALLOCATE (total_send_count(2, 0:numproc - 1))\n ALLOCATE (total_recv_count(2, 0:numproc - 1))\n ALLOCATE (sdp(0:numproc - 1))\n ALLOCATE (sd_disp(0:numproc - 1))\n ALLOCATE (smp(0:numproc - 1))\n ALLOCATE (sm_disp(0:numproc - 1))\n ALLOCATE (rd_disp(0:numproc - 1))\n ALLOCATE (rm_disp(0:numproc - 1))\n !\n desm%negate_real = sm%negate_real\n desm%negate_imaginary = sm%negate_imaginary\n ! Count initial sizes for sending.\n send_count(:, :) = 0\n CALL dbcsr_iterator_start(iter, sm)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, &\n row_size=row_size, col_size=col_size)\n DO symmetry_i = 1, nsymmetries\n IF (symmetry_i .EQ. 1) THEN\n stored_row = row; stored_col = col\n ELSE\n IF (row .EQ. col) CYCLE\n stored_row = col; stored_col = row\n END IF\n ! Where do we send this block?\n prow = row_dist(stored_row)\n pcol = col_dist(stored_col)\n dst_p = blacs2mpi(prow, pcol)\n nze = row_size*col_size\n send_count(imeta, dst_p) = send_count(imeta, dst_p) + 1\n send_count(idata, dst_p) = send_count(idata, dst_p) + nze\n END DO ! symmetry_i\n END DO ! iter\n CALL dbcsr_iterator_stop(iter)\n !\n CALL mp_alltoall(send_count, recv_count, 2, mp_group)\n !\n ! Allocate data structures needed for data exchange.\n CALL dbcsr_data_init(recv_data)\n CALL dbcsr_data_new(recv_data, dbcsr_get_data_type(sm), &\n SUM(recv_count(idata, :)))\n ALLOCATE (recv_meta(metalen*SUM(recv_count(imeta, :))))\n CALL dbcsr_data_init(send_data)\n CALL dbcsr_data_new(send_data, dbcsr_get_data_type(sm), &\n SUM(send_count(idata, :)))\n ALLOCATE (send_meta(metalen*SUM(send_count(imeta, :))))\n !\n ! Fill in the meta data structures and copy the data.\n DO dst_p = 0, numproc - 1\n total_send_count(imeta, dst_p) = send_count(imeta, dst_p)\n total_send_count(idata, dst_p) = send_count(idata, dst_p)\n total_recv_count(imeta, dst_p) = recv_count(imeta, dst_p)\n total_recv_count(idata, dst_p) = recv_count(idata, dst_p)\n END DO\n sd_disp = -1; sm_disp = -1\n rd_disp = -1; rm_disp = -1\n sd_disp(0) = 1; sm_disp(0) = 1\n rd_disp(0) = 1; rm_disp(0) = 1\n DO dst_p = 1, numproc - 1\n sm_disp(dst_p) = sm_disp(dst_p - 1) &\n + metalen*total_send_count(imeta, dst_p - 1)\n sd_disp(dst_p) = sd_disp(dst_p - 1) &\n + total_send_count(idata, dst_p - 1)\n rm_disp(dst_p) = rm_disp(dst_p - 1) &\n + metalen*total_recv_count(imeta, dst_p - 1)\n rd_disp(dst_p) = rd_disp(dst_p - 1) &\n + total_recv_count(idata, dst_p - 1)\n END DO\n sdp(:) = sd_disp\n smp(:) = sm_disp\n !\n CALL dbcsr_iterator_start(iter, sm)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, blk_p=blk_p, &\n row_size=row_size, col_size=col_size)\n DO symmetry_i = 1, nsymmetries\n IF (symmetry_i .EQ. 1) THEN\n stored_row = row; stored_col = col; tr = .FALSE.\n ELSE\n IF (row .EQ. col) CYCLE\n stored_row = col; stored_col = row; tr = .TRUE.\n END IF\n ! Where do we send this block?\n prow = row_dist(stored_row)\n pcol = col_dist(stored_col)\n dst_p = blacs2mpi(prow, pcol)\n nze = row_size*col_size\n send_meta(smp(dst_p)) = stored_row\n send_meta(smp(dst_p) + 1) = stored_col\n send_meta(smp(dst_p) + 2) = sdp(dst_p) - sd_disp(dst_p) + 1\n IF (make_untr) THEN\n CALL dbcsr_block_partial_copy(dst=send_data, &\n dst_rs=row_size, dst_cs=col_size, &\n dst_tr=symmetry_i .GT. 1, &\n dst_r_lb=1, dst_c_lb=1, dst_offset=sdp(dst_p) - 1, &\n nrow=row_size, ncol=col_size, &\n src=sm%data_area, &\n src_rs=row_size, src_cs=col_size, &\n src_tr=blk_p .LT. 0, &\n src_r_lb=1, src_c_lb=1, &\n src_offset=ABS(blk_p) - 1)\n IF (tr) THEN\n IF (sm%negate_real) THEN\n CALL dbcsr_block_real_neg(dst=send_data, row_size=row_size, &\n col_size=col_size, lb=sdp(dst_p))\n END IF\n IF (sm%negate_imaginary) &\n CALL dbcsr_block_conjg(dst=send_data, row_size=row_size, &\n col_size=col_size, lb=sdp(dst_p))\n END IF\n ELSE\n CALL dbcsr_data_copy(send_data, (/sdp(dst_p)/), (/nze/), &\n sm%data_area, (/ABS(blk_p)/), (/nze/))\n IF (tr) &\n send_meta(smp(dst_p) + 2) = -send_meta(smp(dst_p) + 2)\n END IF\n smp(dst_p) = smp(dst_p) + metalen\n sdp(dst_p) = sdp(dst_p) + nze\n END DO ! symmetry_i\n END DO ! iter\n CALL dbcsr_iterator_stop(iter)\n ! Exchange the data and metadata structures.\n CALL hybrid_alltoall_any(send_data, &\n total_send_count(idata, :), sd_disp(:) - 1, &\n recv_data, &\n total_recv_count(idata, :), rd_disp(:) - 1, mp_obj)\n CALL mp_alltoall(send_meta(:), metalen*total_send_count(imeta, :), sm_disp(:) - 1, &\n recv_meta(:), metalen*total_recv_count(imeta, :), rm_disp(:) - 1, &\n mp_group)\n ! Now fill in the data.\n CALL dbcsr_work_create(desm, &\n SUM(recv_count(imeta, :)), &\n SUM(recv_count(idata, :)), n=1, &\n work_mutable=.FALSE.)\n ! Switch data data area of the work matrix with the received data\n ! (avoids copying).\n CALL dbcsr_data_hold(recv_data)\n CALL dbcsr_data_release(desm%wms(1)%data_area)\n desm%wms(1)%data_area = recv_data\n !\n blk_ps = 1\n blks = 1\n ! WRITE(*,*)rm_disp\n ! WRITE(*,*)recv_count\n DO src_p = 0, numproc - 1\n IF (careful_mod) THEN\n IF ((blks - 1)*3 /= rm_disp(src_p) - 1) &\n DBCSR_ABORT(\"Count mismatch\")\n END IF\n blks = (rm_disp(src_p) - 1)/metalen + 1\n DO blk_l = 1, recv_count(imeta, src_p)\n stored_row = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1))\n stored_col = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1) + 1)\n blk_p = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1) + 2)\n desm%wms(1)%row_i(blks) = stored_row\n desm%wms(1)%col_i(blks) = stored_col\n desm%wms(1)%blk_p(blks) = SIGN(ABS(blk_p) + (rd_disp(src_p) - 1), blk_p)\n nze = row_blk_size(ABS(stored_row)) &\n *col_blk_size(stored_col)\n blk_ps = blk_ps + nze\n blks = blks + 1\n END DO\n END DO\n !\n desm%wms(1)%lastblk = blks - 1\n desm%wms(1)%datasize = blk_ps - 1\n CALL dbcsr_finalize(desm)\n DEALLOCATE (send_count)\n DEALLOCATE (recv_count)\n DEALLOCATE (sdp); DEALLOCATE (sd_disp)\n DEALLOCATE (smp); DEALLOCATE (sm_disp)\n DEALLOCATE (rd_disp)\n DEALLOCATE (rm_disp)\n CALL dbcsr_data_release(recv_data)\n DEALLOCATE (recv_meta)\n CALL dbcsr_data_release(send_data)\n DEALLOCATE (send_meta)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_desymmetrize_deep\n\n SUBROUTINE dbcsr_distribute(matrix, fast)\n !! Distributes a matrix that is currently replicated.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix to replicate\n LOGICAL, INTENT(in), OPTIONAL :: fast\n !! change just the index, don't touch the data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_distribute'\n\n COMPLEX(KIND=dp), DIMENSION(:), POINTER, CONTIGUOUS :: c_dp\n COMPLEX(KIND=sp), DIMENSION(:), POINTER, CONTIGUOUS :: c_sp\n INTEGER :: blk, col, handle, mynode, nblks, nze, p, &\n row\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_blk_size, row_blk_size, tmp_index\n LOGICAL :: mini, tr\n REAL(KIND=dp), DIMENSION(:), POINTER, CONTIGUOUS :: r_dp\n REAL(KIND=sp), DIMENSION(:), POINTER, CONTIGUOUS :: r_sp\n TYPE(dbcsr_data_obj) :: tmp_data\n TYPE(dbcsr_distribution_obj) :: dist\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_mp_obj) :: mp_obj\n TYPE(dbcsr_type) :: distributed\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. dbcsr_valid_index(matrix)) &\n DBCSR_ABORT(\"Matrix not initialized.\")\n IF (matrix%replication_type .EQ. dbcsr_repl_none) &\n DBCSR_WARN(\"Distributing a non-replicated matrix makes no sense.\")\n IF (PRESENT(fast)) THEN\n mini = fast\n ELSE\n mini = .FALSE.\n END IF\n SELECT CASE (matrix%data_type)\n CASE (dbcsr_type_real_8)\n CALL dbcsr_get_data(matrix%data_area, r_dp)\n CASE (dbcsr_type_real_4)\n CALL dbcsr_get_data(matrix%data_area, r_sp)\n DBCSR_ABORT(\"Only real double precision\")\n CASE (dbcsr_type_complex_8)\n CALL dbcsr_get_data(matrix%data_area, c_dp)\n DBCSR_ABORT(\"Only real double precision\")\n CASE (dbcsr_type_complex_4)\n CALL dbcsr_get_data(matrix%data_area, c_sp)\n DBCSR_ABORT(\"Only real double precision\")\n END SELECT\n row_blk_size => array_data(matrix%row_blk_size)\n col_blk_size => array_data(matrix%col_blk_size)\n dist = dbcsr_distribution(matrix)\n mp_obj = dbcsr_distribution_mp(dist)\n mynode = dbcsr_mp_mynode(dbcsr_distribution_mp(dist))\n !\n IF (mini) THEN\n ! We just mark the blocks as deleted.\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, r_dp, tr, blk)\n tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(matrix, row, col, p)\n IF (mynode .EQ. p) THEN\n matrix%blk_p(blk) = 0\n END IF\n END DO\n CALL dbcsr_iterator_stop(iter)\n matrix%replication_type = dbcsr_repl_none\n ELSE\n CALL dbcsr_create(distributed, name='Distributed '//TRIM(matrix%name), &\n template=matrix, &\n matrix_type=dbcsr_type_no_symmetry, &\n replication_type=dbcsr_repl_none)\n distributed%replication_type = dbcsr_repl_none\n ! First count how many blocks are local.\n nze = 0\n nblks = 0\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, r_dp, tr, blk)\n tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(matrix, row, col, p)\n IF (mynode .EQ. p) THEN\n nze = nze + row_blk_size(row)*col_blk_size(col)\n nblks = nblks + 1\n END IF\n END DO\n CALL dbcsr_iterator_stop(iter)\n ! Preallocate the array\n CALL dbcsr_work_create(distributed, nblks_guess=nblks, &\n sizedata_guess=nze, work_mutable=.FALSE.)\n ! Now actually do the work\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, r_dp, tr, blk)\n tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(matrix, row, col, p)\n IF (mynode .EQ. p) THEN\n CALL dbcsr_put_block(distributed, row, col, r_dp, transposed=tr)\n END IF\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_finalize(distributed)\n ! Now replace the data and index\n CALL dbcsr_switch_data_area(matrix, distributed%data_area, &\n previous_data_area=tmp_data)\n CALL dbcsr_switch_data_area(distributed, tmp_data)\n CALL dbcsr_data_release(tmp_data)\n tmp_index => matrix%index\n matrix%index => distributed%index\n distributed%index => tmp_index\n CALL dbcsr_repoint_index(matrix)\n matrix%nze = distributed%nze\n matrix%nblks = distributed%nblks\n CALL dbcsr_release(distributed)\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_distribute\n\n SUBROUTINE dbcsr_make_untransposed_blocks(matrix)\n !! Detransposes all blocks in a matrix\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_untransposed_blocks'\n\n INTEGER :: blk, col, col_size, handle, row, row_size\n INTEGER, DIMENSION(:), POINTER :: cbs, rbs\n LOGICAL :: sym_negation, tr\n TYPE(dbcsr_data_obj) :: block_data\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n rbs => dbcsr_row_block_sizes(matrix)\n cbs => dbcsr_col_block_sizes(matrix)\n sym_negation = matrix%negate_real\n\n!$OMP PARALLEL DEFAULT(NONE) PRIVATE(block_data,iter,row,col,tr,blk,row_size,col_size) &\n!$OMP SHARED(matrix,rbs,cbs,sym_negation)\n CALL dbcsr_data_init(block_data)\n CALL dbcsr_data_new(block_data, dbcsr_get_data_type(matrix))\n CALL dbcsr_iterator_start(iter, matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, block_data, &\n transposed=tr, &\n block_number=blk)\n IF (tr) THEN\n row_size = rbs(row)\n col_size = cbs(col)\n CALL dbcsr_block_transpose(block_data, col_size, row_size)\n IF (sym_negation) THEN\n SELECT CASE (block_data%d%data_type)\n CASE (dbcsr_type_real_4)\n block_data%d%r_sp(:) = -block_data%d%r_sp(:)\n CASE (dbcsr_type_real_8)\n block_data%d%r_dp(:) = -block_data%d%r_dp(:)\n CASE (dbcsr_type_complex_4)\n block_data%d%c_sp(:) = -block_data%d%c_sp(:)\n CASE (dbcsr_type_complex_8)\n block_data%d%c_dp(:) = -block_data%d%c_dp(:)\n END SELECT\n END IF\n matrix%blk_p(blk) = -matrix%blk_p(blk)\n END IF\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block_data)\n CALL dbcsr_data_release(block_data)\n!$OMP END PARALLEL\n\n CALL timestop(handle)\n END SUBROUTINE dbcsr_make_untransposed_blocks\n\n SUBROUTINE dbcsr_make_dense(matrix, dense_matrix, dense_dist, &\n dense_row_sizes, dense_col_sizes, row_map, col_map)\n !! Makes a dense matrix, inplace.\n !! @note\n !! Used for making matrices dense/undense\n !! @endnote\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix to make dense\n TYPE(dbcsr_type), INTENT(OUT) :: dense_matrix\n TYPE(dbcsr_distribution_obj), INTENT(INOUT) :: dense_dist\n TYPE(array_i1d_obj), INTENT(IN) :: dense_row_sizes, dense_col_sizes, &\n row_map, col_map\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_dense'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle\n REAL(kind=dp) :: cs\n TYPE(array_i1d_obj) :: dense_local_cols, dense_local_rows\n TYPE(dbcsr_distribution_obj) :: old_distribution\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n CALL dbcsr_create(dense_matrix, template=matrix, &\n dist=dense_dist, &\n row_blk_size_obj=dense_row_sizes, &\n col_blk_size_obj=dense_col_sizes)\n !\n IF (dbg) THEN\n cs = dbcsr_checksum(matrix)\n WRITE (*, *) routineN//\" prod cs pre\", cs\n END IF\n old_distribution = dbcsr_distribution(matrix)\n ! Conversion of global to local offsets for the dense blocks\n CALL dbcsr_get_local_rows(dense_dist, dense_local_rows, &\n dense_matrix%index(dbcsr_slot_home_prow))\n CALL dbcsr_get_local_cols(dense_dist, dense_local_cols, &\n dense_matrix%index(dbcsr_slot_home_pcol))\n !\n CALL dbcsr_make_dense_low(matrix, dense_matrix, &\n dbcsr_distribution_local_rows(old_distribution), &\n dbcsr_distribution_local_cols(old_distribution), &\n array_data(matrix%row_blk_offset), &\n array_data(matrix%col_blk_offset), &\n array_data(dense_local_rows), array_data(dense_local_cols), &\n array_data(dense_matrix%row_blk_offset), &\n array_data(dense_matrix%col_blk_offset), &\n array_data(row_map), array_data(col_map), .TRUE., .TRUE.)\n IF (dbg) THEN\n cs = dbcsr_checksum(dense_matrix)\n WRITE (*, *) routineN//\" prod cs pst\", cs\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_make_dense\n\n SUBROUTINE dbcsr_make_dense_low(und_matrix, dense_matrix, &\n und_local_rows, und_local_cols, &\n und_row_blk_offsets, und_col_blk_offsets, &\n dense_local_rows, dense_local_cols, &\n dense_row_blk_offsets, dense_col_blk_offsets, &\n row_map, col_map, join_rows, join_cols)\n !! Copies a matrix and makes its data dense.\n !! @note\n !! the dense_matrix must have been created\n !! @endnote\n\n TYPE(dbcsr_type), INTENT(IN) :: und_matrix\n !! Original non-dense matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: dense_matrix\n !! Dense copy of und_matrix\n INTEGER, DIMENSION(:), INTENT(IN) :: und_local_rows, und_local_cols, und_row_blk_offsets, &\n und_col_blk_offsets, dense_local_rows, dense_local_cols, dense_row_blk_offsets, &\n dense_col_blk_offsets, row_map, col_map\n !! The process-grid local rows of the non-dense und_matrix\n !! The process-grid local columns of the non-dense und_matrix\n !! The block offsets of the rows of the non-dense matrix\n !! The block offsets of the columns of the non-dense matrix\n !! The process-grid local rows of the dense matrix\n !! The process-grid local columns of the dense matrix\n !! The block offsets of the rows of the dense matrix\n !! The block offsets of the columns of the dense matrix\n !! Mapping of non-dense rows to dense rows\n !! Mapping of non-dense columns to dense columns\n LOGICAL, INTENT(IN) :: join_rows, join_cols\n !! Make rows dense\n !! Make columns dense\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_dense_low'\n\n INTEGER :: dense_nblkcols_local, dense_nblkcols_total, dense_nblkrows_local, &\n dense_nblkrows_total, dense_nlocal_blocks, error_handle, nfullcols, nfullrows, &\n und_nblkcols_total, und_nblkrows_total\n INTEGER, ALLOCATABLE, DIMENSION(:) :: col_internal_offsets, dense_local_col_blk_offsets, &\n dense_local_row_blk_offsets, row_internal_offsets, und_local_col_blk_offsets, &\n und_local_row_blk_offsets\n INTEGER, DIMENSION(dbcsr_meta_size) :: meta\n TYPE(dbcsr_data_obj) :: dense_data, und_data\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n !\n nfullrows = nfull_elements(und_row_blk_offsets, und_local_rows)\n nfullcols = nfull_elements(und_col_blk_offsets, und_local_cols)\n !\n und_nblkrows_total = SIZE(und_row_blk_offsets) - 1\n und_nblkcols_total = SIZE(und_col_blk_offsets) - 1\n !\n ! Find the local data offsets (but indexed by the global\n ! rows/columns) for the undense data.\n ALLOCATE (und_local_row_blk_offsets(und_nblkrows_total + 1))\n ALLOCATE (und_local_col_blk_offsets(und_nblkcols_total + 1))\n CALL global_offsets_to_local( &\n und_row_blk_offsets, &\n und_local_rows, &\n und_local_row_blk_offsets)\n CALL global_offsets_to_local( &\n und_col_blk_offsets, &\n und_local_cols, &\n und_local_col_blk_offsets)\n !\n dense_nblkrows_total = SIZE(dense_row_blk_offsets) - 1\n dense_nblkcols_total = SIZE(dense_col_blk_offsets) - 1\n dense_nblkrows_local = SIZE(dense_local_rows)\n dense_nblkcols_local = SIZE(dense_local_cols)\n !\n ! Find the local data offsets (but indexed by the (dense) global\n ! rows/columns) for the dense data.\n ALLOCATE (dense_local_row_blk_offsets(dense_nblkrows_total + 1))\n ALLOCATE (dense_local_col_blk_offsets(dense_nblkcols_total + 1))\n CALL global_offsets_to_local( &\n dense_row_blk_offsets, &\n dense_local_rows, &\n dense_local_row_blk_offsets)\n CALL global_offsets_to_local( &\n dense_col_blk_offsets, &\n dense_local_cols, &\n dense_local_col_blk_offsets)\n ! Find the offset of blocks within dense rows/columns. This is needed\n ! since the blocked rows/columns are not necessarily in the same order.\n ALLOCATE (row_internal_offsets(und_nblkrows_total))\n ALLOCATE (col_internal_offsets(und_nblkcols_total))\n CALL get_internal_offsets( &\n und_local_rows, row_map, &\n und_local_row_blk_offsets, &\n dense_local_row_blk_offsets, &\n row_internal_offsets)\n CALL get_internal_offsets( &\n und_local_cols, col_map, &\n und_local_col_blk_offsets, &\n dense_local_col_blk_offsets, &\n col_internal_offsets)\n !\n und_data = und_matrix%data_area\n CALL dbcsr_data_hold(und_data)\n CALL dbcsr_data_init(dense_data)\n CALL dbcsr_data_new(dense_data, dbcsr_data_get_type(und_data), &\n data_size=nfullrows*nfullcols, &\n memory_type=dbcsr_data_get_memory_type(und_data))\n !\n ! Reshuffle the data\n CALL make_dense_data(und_matrix, &\n dense_data, nfullrows, nfullcols, &\n und_local_row_blk_offsets, und_local_col_blk_offsets, &\n dense_local_row_blk_offsets, dense_local_col_blk_offsets, &\n row_map=row_map, col_map=col_map, &\n row_internal_offsets=row_internal_offsets, &\n col_internal_offsets=col_internal_offsets, &\n join_rows=join_rows, join_cols=join_cols, make_tr=.FALSE.)\n CALL dbcsr_switch_data_area(dense_matrix, dense_data)\n CALL dbcsr_data_release(dense_data)\n CALL dbcsr_data_release(und_data)\n !\n ! Create the new dense index.\n dense_nlocal_blocks = dense_nblkrows_local*dense_nblkcols_local\n CALL dbcsr_addto_index_array(dense_matrix, &\n dbcsr_slot_row_p, &\n reservation=dense_nblkrows_total + 1, extra=2*dense_nlocal_blocks)\n CALL dbcsr_addto_index_array(dense_matrix, &\n dbcsr_slot_col_i, &\n reservation=dense_nlocal_blocks)\n CALL dbcsr_addto_index_array(dense_matrix, &\n dbcsr_slot_blk_p, &\n reservation=dense_nlocal_blocks)\n !\n meta = dense_matrix%index(1:dbcsr_meta_size)\n CALL dbcsr_pack_meta(dense_matrix, meta)\n meta(dbcsr_slot_nze) = nfullrows*nfullcols\n meta(dbcsr_slot_nblks) = dense_nlocal_blocks\n CALL make_dense_index(dense_matrix%row_p, &\n dense_matrix%col_i, &\n dense_matrix%blk_p, &\n dense_nblkrows_total, dense_nblkcols_total, &\n dense_local_rows, &\n dense_local_cols, &\n dense_local_row_blk_offsets, &\n dense_local_col_blk_offsets, &\n make_tr=.FALSE., &\n meta=meta)\n CALL dbcsr_unpack_meta(dense_matrix, meta)\n !\n DEALLOCATE (und_local_row_blk_offsets)\n DEALLOCATE (und_local_col_blk_offsets)\n DEALLOCATE (dense_local_row_blk_offsets)\n DEALLOCATE (dense_local_col_blk_offsets)\n DEALLOCATE (row_internal_offsets)\n DEALLOCATE (col_internal_offsets)\n !\n CALL timestop(error_handle)\n END SUBROUTINE dbcsr_make_dense_low\n\n SUBROUTINE dbcsr_make_undense(matrix, undense_matrix, distribution, &\n row_blk_offsets, col_blk_offsets, row_blk_sizes, col_blk_sizes, &\n row_map, col_map)\n !! Makes a blocked matrix from a dense matrix, inplace\n !! @note\n !! Used for making matrices dense/undense\n !! @endnote\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! dense matrix\n TYPE(dbcsr_type), INTENT(INOUT) :: undense_matrix\n !! matrix to make undense\n TYPE(dbcsr_distribution_obj), INTENT(IN) :: distribution\n !! distribution of non-dense rows and columns\n TYPE(array_i1d_obj), INTENT(IN) :: row_blk_offsets, col_blk_offsets, &\n row_blk_sizes, col_blk_sizes, row_map, &\n col_map\n !! non-dense row block offsets\n !! non-dense column block offsets\n !! non-dense row block sizes\n !! non-dense column block sizes\n !! mapping from non-dense rows\n !! mapping from non-dense columns\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_make_undense'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle, nblkcols_local, nblkcols_total, &\n nblkrows_local, nblkrows_total, &\n nfullcols_local, nfullrows_local\n INTEGER, ALLOCATABLE, DIMENSION(:) :: col_internal_offsets, dense_local_col_blk_offsets, &\n dense_local_row_blk_offsets, local_col_blk_offsets, local_row_blk_offsets, &\n row_internal_offsets\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: local_cols, local_rows, meta\n REAL(kind=dp) :: cs\n TYPE(dbcsr_data_obj) :: blocked_data, dense_data\n TYPE(dbcsr_distribution_obj) :: dense_distribution\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (dbg) THEN\n cs = dbcsr_checksum(matrix)\n WRITE (*, *) routineN//\" prod cs pre\", cs\n END IF\n dense_distribution = dbcsr_distribution(matrix)\n nfullrows_local = matrix%nfullrows_local\n nfullcols_local = matrix%nfullcols_local\n nblkrows_local = dbcsr_distribution_nlocal_rows(distribution)\n nblkcols_local = dbcsr_distribution_nlocal_cols(distribution)\n nblkrows_total = dbcsr_distribution_nrows(distribution)\n nblkcols_total = dbcsr_distribution_ncols(distribution)\n local_rows => dbcsr_distribution_local_rows(distribution)\n local_cols => dbcsr_distribution_local_cols(distribution)\n CALL dbcsr_create(undense_matrix, template=matrix, &\n dist=distribution, &\n row_blk_size_obj=row_blk_sizes, &\n col_blk_size_obj=col_blk_sizes)\n ! Restore previous offsets, just to try to keep the same memory.\n CALL array_release(undense_matrix%row_blk_offset)\n CALL array_release(undense_matrix%col_blk_offset)\n undense_matrix%row_blk_offset = row_blk_offsets\n undense_matrix%col_blk_offset = col_blk_offsets\n CALL array_hold(undense_matrix%row_blk_offset)\n CALL array_hold(undense_matrix%col_blk_offset)\n !\n ALLOCATE (local_row_blk_offsets(nblkrows_total + 1))\n ALLOCATE (local_col_blk_offsets(nblkcols_total + 1))\n CALL dbcsr_clearfrom_index_array(undense_matrix, dbcsr_slot_row_p)\n CALL dbcsr_clearfrom_index_array(undense_matrix, dbcsr_slot_col_i)\n CALL dbcsr_clearfrom_index_array(undense_matrix, dbcsr_slot_blk_p)\n CALL dbcsr_addto_index_array(undense_matrix, dbcsr_slot_row_p, &\n reservation=nblkrows_total + 1, extra=nblkrows_local*nblkcols_local*2)\n CALL dbcsr_addto_index_array(undense_matrix, dbcsr_slot_col_i, &\n reservation=nblkrows_local*nblkcols_local)\n CALL dbcsr_addto_index_array(undense_matrix, dbcsr_slot_blk_p, &\n reservation=nblkrows_local*nblkcols_local)\n meta => undense_matrix%index(1:dbcsr_meta_size)\n CALL dbcsr_pack_meta(undense_matrix, meta)\n meta(dbcsr_slot_nblks) = nblkrows_local*nblkcols_local\n meta(dbcsr_slot_nze) = nfullrows_local*nfullcols_local\n CALL global_offsets_to_local(array_data(row_blk_offsets), &\n local_rows, local_row_blk_offsets(1:nblkrows_local + 1))\n CALL global_offsets_to_local(array_data(col_blk_offsets), &\n local_cols, local_col_blk_offsets(1:nblkcols_local + 1))\n CALL make_undense_index(undense_matrix%row_p, undense_matrix%col_i, undense_matrix%blk_p, &\n distribution, &\n local_row_blk_offsets(1:nblkrows_local + 1), &\n local_col_blk_offsets(1:nblkcols_local + 1), &\n meta)\n CALL dbcsr_unpack_meta(undense_matrix, meta)\n !\n CALL global_offsets_to_local(array_data(row_blk_offsets), &\n local_rows, local_row_blk_offsets)\n CALL global_offsets_to_local(array_data(col_blk_offsets), &\n local_cols, local_col_blk_offsets)\n !\n ALLOCATE (dense_local_row_blk_offsets(1 + dbcsr_distribution_nrows(dense_distribution)))\n ALLOCATE (dense_local_col_blk_offsets(1 + dbcsr_distribution_ncols(dense_distribution)))\n CALL global_offsets_to_local(array_data(matrix%row_blk_offset), &\n dbcsr_distribution_local_rows(dense_distribution), &\n dense_local_row_blk_offsets)\n CALL global_offsets_to_local(array_data(matrix%col_blk_offset), &\n dbcsr_distribution_local_cols(dense_distribution), &\n dense_local_col_blk_offsets)\n ! Find the offset of blocks within dense rows/columns. This is needed\n ! since the blocked rows/columns are not necessarily in the same order.\n ALLOCATE (row_internal_offsets(nblkrows_total))\n ALLOCATE (col_internal_offsets(nblkcols_total))\n CALL get_internal_offsets( &\n local_rows, array_data(row_map), &\n local_row_blk_offsets, &\n dense_local_row_blk_offsets, &\n row_internal_offsets)\n CALL get_internal_offsets( &\n local_cols, array_data(col_map), &\n local_col_blk_offsets, &\n dense_local_col_blk_offsets, &\n col_internal_offsets)\n !\n dense_data = matrix%data_area\n CALL dbcsr_data_hold(dense_data)\n CALL dbcsr_data_init(blocked_data)\n CALL dbcsr_data_new(blocked_data, dbcsr_data_get_type(dense_data), &\n data_size=nfullrows_local*nfullcols_local, &\n memory_type=dbcsr_data_get_memory_type(dense_data))\n CALL dbcsr_switch_data_area(undense_matrix, blocked_data)\n CALL dbcsr_data_release(blocked_data)\n ! Reshuffle the data\n CALL make_undense_data(undense_matrix, dense_data, &\n nfullrows_local, nfullcols_local, &\n dense_local_row_blk_offsets, dense_local_col_blk_offsets, &\n array_data(row_map), array_data(col_map), &\n row_internal_offsets, col_internal_offsets)\n CALL dbcsr_data_release(dense_data)\n IF (dbg) THEN\n cs = dbcsr_checksum(matrix)\n WRITE (*, *) routineN//\" prod cs pst\", cs\n END IF\n DEALLOCATE (local_row_blk_offsets)\n DEALLOCATE (local_col_blk_offsets)\n DEALLOCATE (dense_local_row_blk_offsets)\n DEALLOCATE (dense_local_col_blk_offsets)\n DEALLOCATE (row_internal_offsets)\n DEALLOCATE (col_internal_offsets)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_make_undense\n\n SUBROUTINE make_dense_data(matrix, dense_data, nfullrows, nfullcols, &\n und_row_blk_offsets, und_col_blk_offsets, &\n dense_row_blk_offsets, dense_col_blk_offsets, &\n row_map, col_map, &\n row_internal_offsets, col_internal_offsets, &\n join_rows, join_cols, make_tr)\n !! Shuffles the data from blocked to standard dense form\n !! @note\n !! Used for making matrices dense/undense\n !! @endnote\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! Existing blocked matrix\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: dense_data\n !! Dense data\n INTEGER, INTENT(IN) :: nfullrows, nfullcols\n !! size of new data\n !! size of new data\n INTEGER, DIMENSION(:), INTENT(IN) :: und_row_blk_offsets, und_col_blk_offsets, &\n dense_row_blk_offsets, dense_col_blk_offsets, row_map, col_map, row_internal_offsets, &\n col_internal_offsets\n LOGICAL, INTENT(IN) :: join_rows, join_cols, make_tr\n !! make rows dense, default is yes\n !! make columns dense, default is yes\n !! make the dense blocks transposed\n\n CHARACTER(len=*), PARAMETER :: routineN = 'make_dense_data'\n\n INTEGER :: blk_col, blk_col_size, blk_row, blk_row_size, dense_col, dense_row, error_handle, &\n target_col_offset, target_cs, target_offset, target_row_offset, target_rs, tco, tro\n LOGICAL :: tr\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n IF (dbcsr_data_get_size(dense_data) < nfullrows*nfullcols) &\n DBCSR_ABORT(\"Dense data too small\")\n IF (.NOT. join_cols .AND. .NOT. join_rows) &\n DBCSR_WARN(\"Joining neither rows nor columns is untested\")\n !\n CALL dbcsr_data_clear(dense_data)\n IF (dbcsr_data_get_size(matrix%data_area) .GT. 0 &\n .AND. nfullrows .GT. 0 .AND. nfullcols .GT. 0) THEN\n!$OMP PARALLEL DEFAULT(NONE) &\n!$OMP PRIVATE (block, iter, &\n!$OMP target_rs, target_cs, blk_row, blk_col, tr, blk_row_size, blk_col_size,&\n!$OMP tro, tco, target_offset,&\n!$OMP target_row_offset, target_col_offset,&\n!$OMP dense_row, dense_col) &\n!$OMP SHARED (&\n!$OMP dense_data, matrix, &\n!$OMP make_tr, join_rows, join_cols, &\n!$OMP und_row_blk_offsets, und_col_blk_offsets,&\n!$OMP dense_row_blk_offsets, dense_col_blk_offsets,&\n!$OMP row_internal_offsets, col_internal_offsets,&\n!$OMP row_map, col_map,&\n!$OMP nfullrows, nfullcols)\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, &\n dbcsr_type_1d_to_2d(dbcsr_data_get_type(dense_data)))\n CALL dbcsr_iterator_start(iter, matrix, dynamic=.TRUE., shared=.TRUE., &\n contiguous_pointers=.FALSE., read_only=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blk_row, blk_col, block, tr, &\n row_size=blk_row_size, col_size=blk_col_size)\n dense_row = row_map(blk_row)\n dense_col = col_map(blk_col)\n !\n ! Calculate the target block row/column size and the offset\n ! within the target block where the undense block is placed.\n IF (join_rows) THEN\n target_row_offset = dense_row_blk_offsets(dense_row)\n target_rs = dense_row_blk_offsets(dense_row + 1) - &\n dense_row_blk_offsets(dense_row)\n tro = 1 + row_internal_offsets(blk_row)\n ELSE\n target_row_offset = und_row_blk_offsets(blk_row)\n target_rs = blk_row_size\n tro = 1\n END IF\n IF (join_cols) THEN\n target_col_offset = dense_col_blk_offsets(dense_col)\n target_cs = dense_col_blk_offsets(dense_col + 1) - &\n dense_col_blk_offsets(dense_col)\n tco = 1 + col_internal_offsets(blk_col)\n ELSE\n target_col_offset = und_col_blk_offsets(blk_col)\n target_cs = blk_col_size\n tco = 1\n END IF\n target_offset = (target_row_offset - 1)*nfullcols &\n + (target_col_offset - 1)*( &\n dense_row_blk_offsets(dense_row + 1) - &\n dense_row_blk_offsets(dense_row))\n CALL dbcsr_block_partial_copy(dst=dense_data, &\n dst_offset=target_offset, &\n dst_rs=target_rs, dst_cs=target_cs, dst_tr=make_tr, &\n dst_r_lb=tro, dst_c_lb=tco, &\n src=block, src_rs=blk_row_size, src_cs=blk_col_size, src_tr=tr, &\n src_r_lb=1, src_c_lb=1, nrow=blk_row_size, ncol=blk_col_size)\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n!$OMP END PARALLEL\n END IF\n CALL timestop(error_handle)\n END SUBROUTINE make_dense_data\n\n SUBROUTINE make_undense_data(matrix, dense_data, nfullrows, nfullcols, &\n dense_row_blk_offsets, dense_col_blk_offsets, &\n row_map, col_map, row_internal_offsets, col_internal_offsets)\n !! Shuffles the data from standard dense to blocked form\n !! @note\n !! Used for making matrices dense/undense\n !! @endnote\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! Matrix with data to fill\n TYPE(dbcsr_data_obj), INTENT(IN) :: dense_data\n !! Dense data\n INTEGER, INTENT(IN) :: nfullrows, nfullcols\n !! number of full rows in local submatrix\n !! number of full columns in local submatrix\n INTEGER, DIMENSION(:), INTENT(IN) :: dense_row_blk_offsets, &\n dense_col_blk_offsets, row_map, &\n col_map, row_internal_offsets, &\n col_internal_offsets\n !! row block offsets for dense data\n !! column block offsets for dense data\n !! mapping from undense to dense rows\n !! mapping from undense to dense rows\n\n INTEGER :: blk_col, blk_col_size, blk_row, blk_row_size, dense_col, dense_col_offset, &\n dense_cs, dense_offset, dense_row, dense_row_offset, dense_rs, sco, sro\n LOGICAL :: tr\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n IF (dbcsr_data_get_size(dense_data) < nfullrows*nfullcols) &\n DBCSR_ABORT(\"Dense data too small\")\n IF (dbcsr_data_get_size(matrix%data_area) .GT. 0) THEN\n CALL dbcsr_data_clear(matrix%data_area)\n!$OMP PARALLEL DEFAULT(NONE) &\n!$OMP PRIVATE (block, iter,&\n!$OMP blk_row, blk_col, tr,&\n!$OMP blk_row_size, blk_col_size, sro, sco,&\n!$OMP dense_row_offset, dense_col_offset, dense_row, dense_col,&\n!$OMP dense_cs, dense_rs,&\n!$OMP dense_offset) &\n!$OMP SHARED (&\n!$OMP matrix, dense_data, &\n!$OMP nfullrows, nfullcols, &\n!$OMP dense_row_blk_offsets, dense_col_blk_offsets,&\n!$OMP row_map, col_map,&\n!$OMP row_internal_offsets, col_internal_offsets)\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, &\n dbcsr_type_1d_to_2d(dbcsr_data_get_type(dense_data)))\n CALL dbcsr_iterator_start(iter, matrix, dynamic=.TRUE., shared=.TRUE., &\n contiguous_pointers=.FALSE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blk_row, blk_col, block, tr, &\n row_size=blk_row_size, col_size=blk_col_size)\n dense_row = row_map(blk_row)\n dense_col = col_map(blk_col)\n dense_row_offset = dense_row_blk_offsets(dense_row)\n dense_col_offset = dense_col_blk_offsets(dense_col)\n dense_rs = dense_row_blk_offsets(dense_row + 1) - &\n dense_row_blk_offsets(dense_row)\n dense_cs = dense_col_blk_offsets(dense_col + 1) - &\n dense_col_blk_offsets(dense_col)\n sro = 1 + row_internal_offsets(blk_row)\n sco = 1 + col_internal_offsets(blk_col)\n dense_offset = (dense_row_offset - 1)*nfullcols &\n + (dense_col_offset - 1)*dense_rs\n CALL dbcsr_block_partial_copy( &\n dst=block, dst_rs=blk_row_size, dst_cs=blk_col_size, dst_tr=tr, &\n dst_r_lb=1, dst_c_lb=1, &\n src=dense_data, src_offset=dense_offset, &\n src_rs=dense_rs, src_cs=dense_cs, src_tr=.FALSE., &\n src_r_lb=sro, src_c_lb=sco, &\n nrow=blk_row_size, ncol=blk_col_size)\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n!$OMP END PARALLEL\n END IF\n END SUBROUTINE make_undense_data\n\n SUBROUTINE dbcsr_replicate_all(matrix)\n !! Replicates a DBCSR on all processors.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix to replicate\n\n CALL dbcsr_replicate(matrix, replicate_rows=.TRUE., &\n replicate_columns=.TRUE.)\n END SUBROUTINE dbcsr_replicate_all\n\n SUBROUTINE dbcsr_replicate(matrix, replicate_rows, replicate_columns, &\n restrict_source)\n !! Replicates a DBCSR matrix among process rows and columns\n !!\n !! Direction definition\n !! Row replication means that all processors in a process grid sharing\n !! the same row get the data of the entire row. (In a 1-column grid the\n !! operation has no effect.) Similar logic applies to column replication.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix to replicate\n LOGICAL, INTENT(IN) :: replicate_rows, replicate_columns\n !! Row should be replicated among all processors\n !! Column should be replicated among all processors\n INTEGER, INTENT(IN), OPTIONAL :: restrict_source\n !! Send only from this node (ignores blocks on other nodes)\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_replicate'\n INTEGER, PARAMETER :: metalen = 3\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n CHARACTER :: rep_type\n INTEGER :: blk, blk_l, blk_p, blk_ps, blks, col, col_size, data_type, dst_p, handle, &\n mynode, mypcol, myprow, nblks, numnodes, nze, offset, row, row_size, smp, &\n src_p, stored_blk_p, stored_col, stored_row\n INTEGER, ALLOCATABLE, DIMENSION(:) :: rd_disp, recv_meta, rm_disp, send_meta\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: recv_count\n INTEGER, DIMENSION(2) :: send_count\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_blk_size, col_dist, row_blk_size, &\n row_dist, tmp_index\n INTEGER, DIMENSION(:, :), POINTER :: blacs2mpi\n LOGICAL :: had_subcomms, i_am_restricted, rest_src, &\n tr\n TYPE(dbcsr_data_obj) :: data_block, recv_data, send_data, &\n tmp_data\n TYPE(dbcsr_distribution_obj) :: target_dist\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_mp_obj) :: mp_obj\n TYPE(dbcsr_type) :: replicated\n TYPE(mp_comm_type) :: mp_group\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (.NOT. dbcsr_valid_index(matrix)) &\n DBCSR_ABORT(\"Matrix not initialized.\")\n !IF(matrix%replication_type /= dbcsr_repl_none) &\n ! DBCSR_WARN(\"Replicating a non-distributed matrix makes no sense.\")\n IF (replicate_rows .AND. replicate_columns) THEN\n rep_type = dbcsr_repl_full\n ELSEIF (replicate_rows .AND. .NOT. replicate_columns) THEN\n rep_type = dbcsr_repl_row\n ELSEIF (replicate_columns .AND. .NOT. replicate_rows) THEN\n rep_type = dbcsr_repl_col\n ELSE\n rep_type = dbcsr_repl_none\n IF (.NOT. replicate_rows .AND. .NOT. replicate_columns) &\n DBCSR_ABORT(\"Some replication must be specified\")\n END IF\n data_type = dbcsr_get_data_type(matrix)\n row_blk_size => array_data(matrix%row_blk_size)\n col_blk_size => array_data(matrix%col_blk_size)\n target_dist = matrix%dist\n row_dist => dbcsr_distribution_row_dist(target_dist)\n col_dist => dbcsr_distribution_col_dist(target_dist)\n mp_obj = dbcsr_distribution_mp(target_dist)\n blacs2mpi => dbcsr_mp_pgrid(mp_obj)\n numnodes = dbcsr_mp_numnodes(mp_obj)\n mynode = dbcsr_mp_mynode(mp_obj)\n myprow = dbcsr_mp_myprow(mp_obj)\n mypcol = dbcsr_mp_mypcol(mp_obj)\n IF (MAXVAL(row_dist) .GT. UBOUND(blacs2mpi, 1)) &\n DBCSR_ABORT('Row distribution references unexistent processor rows')\n IF (dbg) THEN\n IF (MAXVAL(row_dist) .NE. UBOUND(blacs2mpi, 1)) &\n DBCSR_WARN('Range of row distribution not equal to processor rows')\n END IF\n IF (MAXVAL(col_dist) .GT. UBOUND(blacs2mpi, 2)) &\n DBCSR_ABORT('Col distribution references unexistent processor cols')\n IF (dbg) THEN\n IF (MAXVAL(col_dist) .NE. UBOUND(blacs2mpi, 2)) &\n DBCSR_WARN('Range of col distribution not equal to processor cols')\n END IF\n ! Define the number of nodes with which I will communicate. Also\n ! setup row and column communicators.\n had_subcomms = dbcsr_mp_has_subgroups(mp_obj)\n SELECT CASE (rep_type)\n CASE (dbcsr_repl_full)\n numnodes = dbcsr_mp_numnodes(mp_obj)\n mp_group = dbcsr_mp_group(mp_obj)\n mynode = dbcsr_mp_mynode(mp_obj)\n CASE (dbcsr_repl_row)\n numnodes = dbcsr_mp_npcols(mp_obj)\n CALL dbcsr_mp_grid_setup(mp_obj)\n mp_group = dbcsr_mp_my_row_group(mp_obj)\n mynode = dbcsr_mp_mypcol(mp_obj)\n CASE (dbcsr_repl_col)\n numnodes = dbcsr_mp_nprows(mp_obj)\n CALL dbcsr_mp_grid_setup(mp_obj)\n mp_group = dbcsr_mp_my_col_group(mp_obj)\n mynode = dbcsr_mp_myprow(mp_obj)\n CASE (dbcsr_repl_none)\n numnodes = 1\n mp_group = dbcsr_mp_group(mp_obj)\n mynode = 0\n END SELECT\n IF ((rep_type == dbcsr_repl_row .OR. rep_type == dbcsr_repl_col) .AND. .NOT. dbcsr_mp_has_subgroups(mp_obj)) &\n DBCSR_ABORT(\"Only full replication supported when subcommunicators are turned off.\")\n !\n IF (PRESENT(restrict_source)) THEN\n rest_src = .TRUE.\n i_am_restricted = mynode .NE. restrict_source\n ELSE\n rest_src = .FALSE.\n i_am_restricted = .FALSE.\n END IF\n !\n ALLOCATE (recv_count(2, 0:numnodes - 1))\n ALLOCATE (rd_disp(0:numnodes - 1))\n ALLOCATE (rm_disp(0:numnodes - 1))\n CALL dbcsr_create(replicated, name='Replicated '//TRIM(matrix%name), &\n template=matrix, &\n matrix_type=dbcsr_type_no_symmetry, &\n replication_type=rep_type)\n !\n ! Count initial sizes for sending. Also, ensure that blocks are on their\n ! home processors.\n send_count(1:2) = 0\n CALL dbcsr_iterator_start(iter, matrix)\n IF (.NOT. i_am_restricted) THEN\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, &\n row_size=row_size, col_size=col_size, blk=blk)\n !tr = .FALSE.\n !CALL dbcsr_get_stored_coordinates (matrix, row, col, tr, dst_p)\n !IF(dst_p /= mynode) &\n ! DBCSR_ABORT(\"Matrix is not correctly distributed. Call dbcsr_redistribute.\")\n nze = row_size*col_size\n send_count(1) = send_count(1) + 1\n send_count(2) = send_count(2) + nze\n END DO\n send_count(2) = dbcsr_data_get_size_referenced(matrix%data_area)\n END IF\n CALL dbcsr_iterator_stop(iter)\n ! Exchange how much data others have.\n CALL mp_allgather(send_count(1:2), recv_count, mp_group)\n CALL dbcsr_data_init(recv_data)\n nze = SUM(recv_count(2, :))\n nblks = SUM(recv_count(1, :))\n CALL dbcsr_data_new(recv_data, data_type=data_type, data_size=nze)\n ! send_data should have the correct size\n CALL dbcsr_data_init(send_data)\n IF (send_count(2) .EQ. 0) THEN\n CALL dbcsr_data_new(send_data, data_type=data_type, data_size=0)\n ELSE\n CALL dbcsr_data_new(send_data, data_type=data_type)\n send_data = pointer_view(send_data, matrix%data_area, 1, send_count(2))\n END IF\n ALLOCATE (recv_meta(metalen*nblks))\n ALLOCATE (send_meta(metalen*send_count(1)))\n recv_meta(:) = 0\n ! Fill in the meta data structures and copy the data.\n rd_disp = -1; rm_disp = -1\n rd_disp(0) = 1; rm_disp(0) = 1\n DO dst_p = 1, numnodes - 1\n rm_disp(dst_p) = rm_disp(dst_p - 1) &\n + metalen*recv_count(1, dst_p - 1)\n rd_disp(dst_p) = rd_disp(dst_p - 1) &\n + recv_count(2, dst_p - 1)\n END DO\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(data_block, data_type=data_type)\n CALL dbcsr_iterator_start(iter, matrix)\n smp = 1\n IF (.NOT. i_am_restricted) THEN\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, &\n transposed=tr, blk_p=blk_p)\n send_meta(smp + 0) = row\n send_meta(smp + 1) = col\n send_meta(smp + 2) = blk_p\n smp = smp + metalen\n END DO\n END IF\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_data_release(data_block)\n ! Exchange the data and metadata structures.\n CALL mp_allgather(send_meta, recv_meta, metalen*recv_count(1, :), &\n rm_disp - 1, mp_group)\n CALL dbcsr_allgatherv(send_data, dbcsr_data_get_size(send_data), &\n recv_data, recv_count(2, :), &\n rd_disp - 1, mp_group)\n ! Release the send buffer. If it had a non-zero size then it was a\n ! pointer into the regular matrix and the data pointer should be\n ! cleared and not deallocated.\n IF (send_count(2) .NE. 0) THEN\n CALL dbcsr_data_clear_pointer(send_data)\n END IF\n CALL dbcsr_data_release(send_data)\n !\n ! Now fill in the data.\n CALL dbcsr_work_create(replicated, &\n SUM(recv_count(1, :)), &\n SUM(recv_count(2, :)), n=1, &\n work_mutable=.FALSE.)\n CALL dbcsr_data_hold(recv_data)\n CALL dbcsr_data_release(replicated%wms(1)%data_area)\n replicated%wms(1)%data_area = recv_data\n blk_ps = 1\n blks = 1\n DO src_p = 0, numnodes - 1\n nze = recv_count(2, src_p)\n !CALL dbcsr_data_set (replicated%wms(1)%data_area, blk_ps, nze,&\n ! recv_data, rd_disp(src_p))\n offset = rd_disp(src_p) - 1\n DO blk_l = 1, recv_count(1, src_p)\n IF (dbg) WRITE (*, *) \"src_p, blk_l\", src_p, blk_l\n stored_row = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1))\n stored_col = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1) + 1)\n stored_blk_p = recv_meta(rm_disp(src_p) + metalen*(blk_l - 1) + 2)\n replicated%wms(1)%row_i(blks) = stored_row\n replicated%wms(1)%col_i(blks) = stored_col\n replicated%wms(1)%blk_p(blks) = SIGN(ABS(stored_blk_p) + offset, &\n stored_blk_p)\n nze = row_blk_size(stored_row) &\n *col_blk_size(stored_col)\n blk_ps = MAX(blk_ps, ABS(stored_blk_p) + nze + offset)\n blks = blks + 1\n END DO\n END DO\n CALL dbcsr_data_set_size_referenced(replicated%wms(1)%data_area, blk_ps - 1)\n !\n replicated%wms(1)%lastblk = blks - 1\n replicated%wms(1)%datasize = blk_ps - 1\n CALL dbcsr_finalize(replicated, reshuffle=.TRUE.)\n !\n ! Remove communicators if they were forcibly created.\n IF (had_subcomms .AND. &\n (rep_type .EQ. dbcsr_repl_row .OR. rep_type .EQ. dbcsr_repl_col)) THEN\n CALL dbcsr_mp_grid_remove(mp_obj)\n END IF\n DEALLOCATE (recv_count)\n DEALLOCATE (rd_disp)\n DEALLOCATE (rm_disp)\n CALL dbcsr_data_release(recv_data)\n DEALLOCATE (recv_meta)\n DEALLOCATE (send_meta)\n matrix%replication_type = replicated%replication_type\n ! Now replace the data and index\n CALL dbcsr_switch_data_area(matrix, replicated%data_area, &\n previous_data_area=tmp_data)\n CALL dbcsr_switch_data_area(replicated, tmp_data)\n CALL dbcsr_data_release(tmp_data)\n tmp_index => matrix%index\n matrix%index => replicated%index\n replicated%index => tmp_index\n CALL dbcsr_repoint_index(matrix)\n matrix%nze = replicated%nze\n matrix%nblks = replicated%nblks\n CALL dbcsr_release(replicated)\n CALL dbcsr_verify_matrix(matrix)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_replicate\n\n SUBROUTINE dbcsr_complete_redistribute(matrix, redist, keep_sparsity, summation)\n !! Fully redistributes a DBCSR matrix.\n !! The new distribution may be arbitrary as long as the total\n !! number full rows and columns matches that of the existing\n !! matrix.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix to redistribute\n TYPE(dbcsr_type), INTENT(INOUT) :: redist\n !! redistributed matrix\n LOGICAL, INTENT(IN), OPTIONAL :: keep_sparsity, summation\n !! retains the sparsity of the redist matrix\n !! sum blocks with identical row and col from different processes\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_complete_redistribute'\n INTEGER, PARAMETER :: metalen = 7\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: blk, blk_col_new, blk_ps, blk_row_new, blks, cnt_fnd, cnt_new, cnt_skip, col, &\n col_int, col_offset_new, col_offset_old, col_rle, col_size, col_size_new, data_offset_l, &\n data_type, dst_p, handle, i, meta_l, numnodes, nze_rle, row, row_int, &\n row_offset_new, row_offset_old, row_rle, row_size, row_size_new, src_p, stored_col_new, &\n stored_row_new\n INTEGER, ALLOCATABLE, DIMENSION(:) :: col_end_new, col_end_old, col_start_new, &\n col_start_old, rd_disp, recv_meta, rm_disp, row_end_new, row_end_old, row_start_new, &\n row_start_old, sd_disp, sdp, send_meta, sm_disp, smp\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: col_reblocks, n_col_reblocks, n_row_reblocks, &\n recv_count, row_reblocks, send_count, total_recv_count, total_send_count\n INTEGER, DIMENSION(:), POINTER :: col_blk_size_new, col_blk_size_old, &\n col_dist_new, row_blk_size_new, &\n row_blk_size_old, row_dist_new\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n LOGICAL :: found, my_keep_sparsity, my_summation, &\n sym, tr, valid_block\n REAL(kind=dp) :: cs1, cs2\n TYPE(dbcsr_data_obj) :: buff_data, data_block, recv_data, &\n send_data\n TYPE(dbcsr_distribution_obj) :: dist_new\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_mp_obj) :: mp_obj_new\n TYPE(mp_comm_type) :: mp_group\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. dbcsr_valid_index(matrix)) &\n DBCSR_ABORT(\"Input not valid.\")\n IF (matrix%replication_type .NE. dbcsr_repl_none) &\n DBCSR_WARN(\"Can not redistribute replicated matrix.\")\n IF (dbcsr_has_symmetry(matrix) .AND. .NOT. dbcsr_has_symmetry(redist)) &\n DBCSR_ABORT(\"Can not redistribute a symmetric matrix into a non-symmetric one\")\n !\n my_keep_sparsity = .FALSE.\n IF (PRESENT(keep_sparsity)) my_keep_sparsity = keep_sparsity\n !\n my_summation = .FALSE.\n IF (PRESENT(summation)) my_summation = summation\n\n ! zero blocks that might be present in the target (redist) but not in the source (matrix)\n CALL dbcsr_set(redist, 0.0_dp)\n\n sym = dbcsr_has_symmetry(redist)\n data_type = matrix%data_type\n ! Get row and column start and end positions\n ! Old matrix\n row_blk_size_old => array_data(matrix%row_blk_size)\n col_blk_size_old => array_data(matrix%col_blk_size)\n ALLOCATE (row_start_old(dbcsr_nblkrows_total(matrix)), &\n row_end_old(dbcsr_nblkrows_total(matrix)), &\n col_start_old(dbcsr_nblkcols_total(matrix)), &\n col_end_old(dbcsr_nblkcols_total(matrix)))\n CALL convert_sizes_to_offsets(row_blk_size_old, &\n row_start_old, row_end_old)\n CALL convert_sizes_to_offsets(col_blk_size_old, &\n col_start_old, col_end_old)\n ! New matrix\n dist_new = dbcsr_distribution(redist)\n row_blk_size_new => array_data(redist%row_blk_size)\n col_blk_size_new => array_data(redist%col_blk_size)\n ALLOCATE (row_start_new(dbcsr_nblkrows_total(redist)), &\n row_end_new(dbcsr_nblkrows_total(redist)), &\n col_start_new(dbcsr_nblkcols_total(redist)), &\n col_end_new(dbcsr_nblkcols_total(redist)))\n CALL convert_sizes_to_offsets(row_blk_size_new, &\n row_start_new, row_end_new)\n CALL convert_sizes_to_offsets(col_blk_size_new, &\n col_start_new, col_end_new)\n row_dist_new => dbcsr_distribution_row_dist(dist_new)\n col_dist_new => dbcsr_distribution_col_dist(dist_new)\n ! Create mappings\n i = dbcsr_nfullrows_total(redist)\n ALLOCATE (row_reblocks(4, i))\n ALLOCATE (n_row_reblocks(2, dbcsr_nblkrows_total(matrix)))\n CALL dbcsr_reblocking_targets(row_reblocks, i, n_row_reblocks, &\n row_blk_size_old, row_blk_size_new)\n i = dbcsr_nfullcols_total(redist)\n ALLOCATE (col_reblocks(4, i))\n ALLOCATE (n_col_reblocks(2, dbcsr_nblkcols_total(matrix)))\n CALL dbcsr_reblocking_targets(col_reblocks, i, n_col_reblocks, &\n col_blk_size_old, col_blk_size_new)\n !\n mp_obj_new = dbcsr_distribution_mp(dist_new)\n pgrid => dbcsr_mp_pgrid(mp_obj_new)\n numnodes = dbcsr_mp_numnodes(mp_obj_new)\n mp_group = dbcsr_mp_group(mp_obj_new)\n !\n IF (MAXVAL(row_dist_new) > UBOUND(pgrid, 1)) &\n DBCSR_ABORT('Row distribution references unexistent processor rows')\n IF (dbg) THEN\n IF (MAXVAL(row_dist_new) .NE. UBOUND(pgrid, 1)) &\n DBCSR_WARN('Range of row distribution not equal to processor rows')\n END IF\n IF (MAXVAL(col_dist_new) > UBOUND(pgrid, 2)) &\n DBCSR_ABORT('Col distribution references unexistent processor cols')\n IF (dbg) THEN\n IF (MAXVAL(col_dist_new) .NE. UBOUND(pgrid, 2)) &\n DBCSR_WARN('Range of col distribution not equal to processor cols')\n END IF\n ALLOCATE (send_count(2, 0:numnodes - 1))\n ALLOCATE (recv_count(2, 0:numnodes - 1))\n ALLOCATE (total_send_count(2, 0:numnodes - 1))\n ALLOCATE (total_recv_count(2, 0:numnodes - 1))\n ALLOCATE (sdp(0:numnodes - 1))\n ALLOCATE (sd_disp(0:numnodes - 1))\n ALLOCATE (smp(0:numnodes - 1))\n ALLOCATE (sm_disp(0:numnodes - 1))\n ALLOCATE (rd_disp(0:numnodes - 1))\n ALLOCATE (rm_disp(0:numnodes - 1))\n IF (dbg) THEN\n cs1 = dbcsr_checksum(matrix)\n END IF\n !cs1 = dbcsr_checksum (matrix)\n !call dbcsr_print(matrix)\n !\n !\n ! Count initial sizes for sending.\n !\n ! We go through every element of every local block and determine\n ! to which processor it must be sent. It could be more efficient,\n ! but at least the index data are run-length encoded.\n send_count(:, :) = 0\n CALL dbcsr_iterator_start(iter, matrix)\n dst_p = -1\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk)\n DO col_int = n_col_reblocks(1, col), &\n n_col_reblocks(1, col) + n_col_reblocks(2, col) - 1\n blk_col_new = col_reblocks(1, col_int)\n DO row_int = n_row_reblocks(1, row), &\n n_row_reblocks(1, row) + n_row_reblocks(2, row) - 1\n blk_row_new = row_reblocks(1, row_int)\n IF (.NOT. sym .OR. blk_col_new .GE. blk_row_new) THEN\n tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(redist, &\n blk_row_new, blk_col_new, dst_p)\n send_count(1, dst_p) = send_count(1, dst_p) + 1\n send_count(2, dst_p) = send_count(2, dst_p) + &\n col_reblocks(2, col_int)*row_reblocks(2, row_int)\n END IF\n END DO\n END DO\n END DO\n CALL dbcsr_iterator_stop(iter)\n !\n !\n CALL mp_alltoall(send_count, recv_count, 2, mp_group)\n ! Allocate data structures needed for data exchange.\n CALL dbcsr_data_init(recv_data)\n CALL dbcsr_data_new(recv_data, data_type, SUM(recv_count(2, :)))\n ALLOCATE (recv_meta(metalen*SUM(recv_count(1, :))))\n CALL dbcsr_data_init(send_data)\n CALL dbcsr_data_new(send_data, data_type, SUM(send_count(2, :)))\n ALLOCATE (send_meta(metalen*SUM(send_count(1, :))))\n ! Fill in the meta data structures and copy the data.\n DO dst_p = 0, numnodes - 1\n total_send_count(1, dst_p) = send_count(1, dst_p)\n total_send_count(2, dst_p) = send_count(2, dst_p)\n total_recv_count(1, dst_p) = recv_count(1, dst_p)\n total_recv_count(2, dst_p) = recv_count(2, dst_p)\n END DO\n sd_disp = -1; sm_disp = -1\n rd_disp = -1; rm_disp = -1\n sd_disp(0) = 1; sm_disp(0) = 1\n rd_disp(0) = 1; rm_disp(0) = 1\n DO dst_p = 1, numnodes - 1\n sm_disp(dst_p) = sm_disp(dst_p - 1) &\n + metalen*total_send_count(1, dst_p - 1)\n sd_disp(dst_p) = sd_disp(dst_p - 1) &\n + total_send_count(2, dst_p - 1)\n rm_disp(dst_p) = rm_disp(dst_p - 1) &\n + metalen*total_recv_count(1, dst_p - 1)\n rd_disp(dst_p) = rd_disp(dst_p - 1) &\n + total_recv_count(2, dst_p - 1)\n END DO\n sdp(:) = sd_disp ! sdp points to the the next place to store\n ! data. It is postincremented.\n smp(:) = sm_disp - metalen ! But smp points to the \"working\" data, not\n ! the next. It is pre-incremented, so we must\n ! first rewind it.\n !\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(data_block, data_type)\n CALL dbcsr_iterator_start(iter, matrix)\n dst_p = -1\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, data_block, tr, blk, &\n row_size=row_size, col_size=col_size)\n !IF (tr) WRITE(*,*)\"block at\",row,col,\" is transposed\"\n DO col_int = n_col_reblocks(1, col), &\n n_col_reblocks(1, col) + n_col_reblocks(2, col) - 1\n blk_col_new = col_reblocks(1, col_int)\n DO row_int = n_row_reblocks(1, row), &\n n_row_reblocks(1, row) + n_row_reblocks(2, row) - 1\n blk_row_new = row_reblocks(1, row_int)\n loc_ok: IF (.NOT. sym .OR. blk_col_new .GE. blk_row_new) THEN\n IF (dbg) &\n WRITE (*, *) 'using block', blk_row_new, 'x', blk_col_new\n ! Start a new RLE run\n tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(redist, &\n blk_row_new, blk_col_new, dst_p)\n row_offset_old = row_reblocks(3, row_int)\n col_offset_old = col_reblocks(3, col_int)\n row_offset_new = row_reblocks(4, row_int)\n col_offset_new = col_reblocks(4, col_int)\n row_rle = row_reblocks(2, row_int)\n col_rle = col_reblocks(2, col_int)\n smp(dst_p) = smp(dst_p) + metalen\n send_meta(smp(dst_p)) = blk_row_new ! new blocked row\n send_meta(smp(dst_p) + 1) = blk_col_new ! new blocked column\n send_meta(smp(dst_p) + 2) = row_offset_new ! row in new block\n send_meta(smp(dst_p) + 3) = col_offset_new ! col in new block\n send_meta(smp(dst_p) + 4) = row_rle ! RLE rows\n send_meta(smp(dst_p) + 5) = col_rle ! RLE columns\n send_meta(smp(dst_p) + 6) = sdp(dst_p) - sd_disp(dst_p) ! Offset in data\n nze_rle = row_rle*col_rle\n ! Copy current block into the send buffer\n CALL dbcsr_block_partial_copy( &\n send_data, dst_offset=sdp(dst_p) - 1, &\n dst_rs=row_rle, dst_cs=col_rle, dst_tr=.FALSE., &\n dst_r_lb=1, dst_c_lb=1, &\n src=data_block, &\n src_rs=row_size, src_cs=col_size, src_tr=tr, &\n src_r_lb=row_offset_old, src_c_lb=col_offset_old, &\n nrow=row_rle, ncol=col_rle)\n sdp(dst_p) = sdp(dst_p) + nze_rle\n END IF loc_ok\n END DO ! row_int\n END DO ! col_int\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_data_release(data_block)\n\n ! Exchange the data and metadata structures.\n !\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n CALL hybrid_alltoall_s1( &\n send_data%d%r_sp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%r_sp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj_new)\n CASE (dbcsr_type_real_8)\n !CALL mp_alltoall(&\n ! send_data%d%r_dp(:), total_send_count(2,:), sd_disp(:)-1,&\n ! recv_data%d%r_dp(:), total_recv_count(2,:), rd_disp(:)-1,&\n ! mp_group)\n CALL hybrid_alltoall_d1( &\n send_data%d%r_dp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%r_dp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj_new)\n CASE (dbcsr_type_complex_4)\n CALL hybrid_alltoall_c1( &\n send_data%d%c_sp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%c_sp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj_new)\n CASE (dbcsr_type_complex_8)\n CALL hybrid_alltoall_z1( &\n send_data%d%c_dp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%c_dp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj_new)\n CASE default\n DBCSR_ABORT(\"Invalid matrix type\")\n END SELECT\n CALL hybrid_alltoall_i1(send_meta(:), metalen*total_send_count(1, :), sm_disp(:) - 1, &\n recv_meta(:), metalen*total_recv_count(1, :), rm_disp(:) - 1, mp_obj_new)\n !\n ! Now fill in the data.\n CALL dbcsr_work_create(redist, &\n nblks_guess=SUM(recv_count(1, :)), &\n sizedata_guess=SUM(recv_count(2, :)), work_mutable=.TRUE.)\n CALL dbcsr_data_init(buff_data)\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(buff_data, dbcsr_type_1d_to_2d(data_type), &\n redist%max_rbs, redist%max_cbs)\n CALL dbcsr_data_new(data_block, dbcsr_type_1d_to_2d(data_type))\n\n !blk_p = 1\n !blk = 1\n blk_ps = 0\n blks = 0\n cnt_fnd = 0; cnt_new = 0; cnt_skip = 0\n DO src_p = 0, numnodes - 1\n data_offset_l = rd_disp(src_p)\n DO meta_l = 1, recv_count(1, src_p)\n stored_row_new = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1))\n stored_col_new = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1) + 1)\n row_offset_new = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1) + 2)\n col_offset_new = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1) + 3)\n row_rle = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1) + 4)\n col_rle = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1) + 5)\n data_offset_l = rd_disp(src_p) &\n + recv_meta(rm_disp(src_p) + metalen*(meta_l - 1) + 6)\n\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_get_block_p(redist, stored_row_new, stored_col_new, &\n data_block, tr, found)\n valid_block = found\n\n IF (found) cnt_fnd = cnt_fnd + 1\n IF (.NOT. found .AND. .NOT. my_keep_sparsity) THEN\n ! We have to set up a buffer block\n CALL dbcsr_data_set_pointer(data_block, &\n rsize=row_blk_size_new(stored_row_new), &\n csize=col_blk_size_new(stored_col_new), &\n pointee=buff_data)\n CALL dbcsr_data_clear(data_block)\n !r2_dp => r2_dp_buff(1:row_blk_size_new (stored_row_new),&\n ! 1:col_blk_size_new (stored_col_new))\n !r2_dp(:,:) = 0.0_dp\n tr = .FALSE.\n blks = blks + 1\n blk_ps = blk_ps + row_blk_size_new(stored_row_new)* &\n col_blk_size_new(stored_col_new)\n valid_block = .TRUE.\n cnt_new = cnt_new + 1\n END IF\n nze_rle = row_rle*col_rle\n\n IF (valid_block) THEN\n row_size_new = row_blk_size_new(stored_row_new)\n col_size_new = col_blk_size_new(stored_col_new)\n CALL dbcsr_block_partial_copy( &\n dst=data_block, dst_tr=tr, &\n dst_rs=row_size_new, dst_cs=col_size_new, &\n dst_r_lb=row_offset_new, dst_c_lb=col_offset_new, &\n src=recv_data, src_offset=data_offset_l - 1, &\n src_rs=row_rle, src_cs=col_rle, src_tr=.FALSE., &\n src_r_lb=1, src_c_lb=1, &\n nrow=row_rle, ncol=col_rle)\n ELSE\n cnt_skip = cnt_skip + 1\n END IF\n\n data_offset_l = data_offset_l + nze_rle\n IF ((.NOT. found .OR. my_summation) .AND. valid_block) THEN\n IF (dbg) WRITE (*, *) routineN//\" Adding new block at\", &\n stored_row_new, stored_col_new\n CALL dbcsr_put_block(redist, stored_row_new, stored_col_new, &\n data_block, transposed=tr, summation=my_summation)\n !DEALLOCATE (r2_dp)\n ELSE\n IF (.NOT. my_keep_sparsity .AND. dbg) &\n WRITE (*, *) routineN//\" Reusing block at\", &\n stored_row_new, stored_col_new\n END IF\n END DO\n END DO\n\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_data_release(buff_data)\n CALL dbcsr_data_release(data_block)\n !\n IF (dbg) THEN\n WRITE (*, *) routineN//\" Declared blocks=\", redist%wms(1)%lastblk, &\n \"actual=\", blks\n WRITE (*, *) routineN//\" Declared data size=\", redist%wms(1)%datasize, &\n \"actual=\", blk_ps\n END IF\n\n CALL dbcsr_finalize(redist)\n\n DEALLOCATE (send_count)\n DEALLOCATE (recv_count)\n DEALLOCATE (sdp); DEALLOCATE (sd_disp)\n DEALLOCATE (smp); DEALLOCATE (sm_disp)\n DEALLOCATE (rd_disp)\n DEALLOCATE (rm_disp)\n\n CALL dbcsr_data_release(recv_data)\n CALL dbcsr_data_release(send_data)\n\n DEALLOCATE (recv_meta)\n DEALLOCATE (send_meta)\n\n !if (dbg) call dbcsr_print(redist)\n IF (dbg) THEN\n cs2 = dbcsr_checksum(redist)\n WRITE (*, *) routineN//\" Checksums=\", cs1, cs2, cs1 - cs2\n END IF\n !IF(cs1-cs2 > 0.00001) DBCSR_ABORT(\"Mangled data!\")\n CALL timestop(handle)\n END SUBROUTINE dbcsr_complete_redistribute\n\n SUBROUTINE dbcsr_redistribute(matrix, redist)\n !! Redistributes a DBCSR matrix.\n !! The new distribution should have compatible row and column blocks.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix to redistribute\n TYPE(dbcsr_type), INTENT(INOUT) :: redist\n !! redistributed matrix, which should already be created\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_redistribute'\n INTEGER, PARAMETER :: metalen = 2\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: blk, blk_ps, blks, col, col_size, data_type, dst_p, handle, meta_l, &\n numnodes, nze, row, row_size, src_p, stored_col_new, stored_row_new\n INTEGER, ALLOCATABLE, DIMENSION(:) :: rd_disp, recv_meta, rm_disp, sd_disp, &\n sdp, send_meta, sm_disp, smp\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: recv_count, send_count, &\n total_recv_count, total_send_count\n INTEGER, DIMENSION(:), POINTER :: col_blk_size_new, col_dist_new, &\n row_blk_size_new, row_dist_new\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n LOGICAL :: sym_tr, tr\n TYPE(dbcsr_data_obj) :: data_block, recv_data, send_data\n TYPE(dbcsr_distribution_obj) :: dist_new\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_mp_obj) :: mp_obj_new\n TYPE(mp_comm_type) :: mp_group\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n !call dbcsr_print_dist (matrix%dist)\n !call dbcsr_print_dist (redist%dist)\n IF (.NOT. dbcsr_valid_index(matrix)) &\n DBCSR_ABORT(\"Input not valid.\")\n IF (matrix%replication_type .NE. dbcsr_repl_none) &\n DBCSR_WARN(\"Can not redistribute replicated matrix.\")\n data_type = matrix%data_type\n ! Get row and column start and end positions\n ! Old matrix\n ! New matrix\n dist_new = dbcsr_distribution(redist)\n row_blk_size_new => array_data(redist%row_blk_size)\n col_blk_size_new => array_data(redist%col_blk_size)\n row_dist_new => dbcsr_distribution_row_dist(dist_new)\n col_dist_new => dbcsr_distribution_col_dist(dist_new)\n !\n mp_obj_new = dbcsr_distribution_mp(dist_new)\n pgrid => dbcsr_mp_pgrid(mp_obj_new)\n numnodes = dbcsr_mp_numnodes(mp_obj_new)\n mp_group = dbcsr_mp_group(mp_obj_new)\n !\n IF (MAXVAL(row_dist_new) .GT. UBOUND(pgrid, 1)) &\n DBCSR_ABORT('Row distribution references unexistent processor rows')\n IF (dbg) THEN\n IF (MAXVAL(row_dist_new) .NE. UBOUND(pgrid, 1)) &\n DBCSR_WARN('Range of row distribution not equal to processor rows')\n END IF\n IF (MAXVAL(col_dist_new) .GT. UBOUND(pgrid, 2)) &\n DBCSR_ABORT('Col distribution references unexistent processor cols')\n IF (dbg) THEN\n IF (MAXVAL(col_dist_new) .NE. UBOUND(pgrid, 2)) &\n DBCSR_WARN('Range of col distribution not equal to processor cols')\n END IF\n ALLOCATE (send_count(2, 0:numnodes - 1))\n ALLOCATE (recv_count(2, 0:numnodes - 1))\n ALLOCATE (total_send_count(2, 0:numnodes - 1))\n ALLOCATE (total_recv_count(2, 0:numnodes - 1))\n ALLOCATE (sdp(0:numnodes - 1))\n ALLOCATE (sd_disp(0:numnodes - 1))\n ALLOCATE (smp(0:numnodes - 1))\n ALLOCATE (sm_disp(0:numnodes - 1))\n ALLOCATE (rd_disp(0:numnodes - 1))\n ALLOCATE (rm_disp(0:numnodes - 1))\n ! Count initial sizes for sending.\n !\n send_count(:, :) = 0\n CALL dbcsr_iterator_start(iter, matrix)\n dst_p = -1\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, blk, tr, &\n row_size=row_size, col_size=col_size)\n sym_tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(redist, &\n row, col, dst_p)\n nze = row_size*col_size\n send_count(1, dst_p) = send_count(1, dst_p) + 1\n send_count(2, dst_p) = send_count(2, dst_p) + nze\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL mp_alltoall(send_count, recv_count, 2, mp_group)\n ! Allocate data structures needed for data exchange.\n CALL dbcsr_data_init(recv_data)\n CALL dbcsr_data_new(recv_data, data_type, SUM(recv_count(2, :)))\n ALLOCATE (recv_meta(metalen*SUM(recv_count(1, :))))\n CALL dbcsr_data_init(send_data)\n CALL dbcsr_data_new(send_data, data_type, SUM(send_count(2, :)))\n ALLOCATE (send_meta(metalen*SUM(send_count(1, :))))\n ! Fill in the meta data structures and copy the data.\n DO dst_p = 0, numnodes - 1\n total_send_count(1, dst_p) = send_count(1, dst_p)\n total_send_count(2, dst_p) = send_count(2, dst_p)\n total_recv_count(1, dst_p) = recv_count(1, dst_p)\n total_recv_count(2, dst_p) = recv_count(2, dst_p)\n END DO\n sd_disp = -1; sm_disp = -1\n rd_disp = -1; rm_disp = -1\n sd_disp(0) = 1; sm_disp(0) = 1\n rd_disp(0) = 1; rm_disp(0) = 1\n DO dst_p = 1, numnodes - 1\n sm_disp(dst_p) = sm_disp(dst_p - 1) &\n + metalen*total_send_count(1, dst_p - 1)\n sd_disp(dst_p) = sd_disp(dst_p - 1) &\n + total_send_count(2, dst_p - 1)\n rm_disp(dst_p) = rm_disp(dst_p - 1) &\n + metalen*total_recv_count(1, dst_p - 1)\n rd_disp(dst_p) = rd_disp(dst_p - 1) &\n + total_recv_count(2, dst_p - 1)\n END DO\n sdp(:) = sd_disp ! sdp points to the the next place to store\n ! data. It is postincremented.\n smp(:) = sm_disp - metalen ! But smp points to the \"working\" data, not\n ! the next. It is pre-incremented, so we must\n ! first rewind it.\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(data_block, data_type)\n CALL dbcsr_iterator_start(iter, matrix)\n dst_p = -1\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, data_block, tr, blk)\n !IF (tr) WRITE(*,*)\"block at\",row,col,\" is transposed\"\n sym_tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(redist, &\n row, col, dst_p)\n smp(dst_p) = smp(dst_p) + metalen\n IF (tr) THEN\n send_meta(smp(dst_p)) = -row\n ELSE\n send_meta(smp(dst_p)) = row\n END IF\n send_meta(smp(dst_p) + 1) = col ! new blocked column\n nze = dbcsr_data_get_size(data_block)\n CALL dbcsr_data_set(send_data, lb=sdp(dst_p), data_size=nze, &\n src=data_block, source_lb=1)\n !send_data(sdp(dst_p):sdp(dst_p)+SIZE(r_dp)-1) &\n ! = r_dp(:)\n sdp(dst_p) = sdp(dst_p) + nze\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_block)\n ! Exchange the data and metadata structures.\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n CALL hybrid_alltoall_s1( &\n send_data%d%r_sp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%r_sp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj_new)\n CASE (dbcsr_type_real_8)\n !CALL mp_alltoall(&\n ! send_data%d%r_dp(:), total_send_count(2,:), sd_disp(:)-1,&\n ! recv_data%d%r_dp(:), total_recv_count(2,:), rd_disp(:)-1,&\n ! mp_group)\n CALL hybrid_alltoall_d1( &\n send_data%d%r_dp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%r_dp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj_new)\n CASE (dbcsr_type_complex_4)\n CALL hybrid_alltoall_c1( &\n send_data%d%c_sp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%c_sp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj_new)\n CASE (dbcsr_type_complex_8)\n CALL hybrid_alltoall_z1( &\n send_data%d%c_dp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%c_dp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_obj_new)\n END SELECT\n !CALL mp_alltoall(send_data(:), total_send_count(2,:), sd_disp(:)-1,&\n ! recv_data(:), total_recv_count(2,:), rd_disp(:)-1, mp_group)\n CALL hybrid_alltoall_i1(send_meta(:), metalen*total_send_count(1, :), sm_disp(:) - 1, &\n recv_meta(:), metalen*total_recv_count(1, :), rm_disp(:) - 1, mp_obj_new)\n ! Now fill in the data.\n CALL dbcsr_work_create(redist, &\n SUM(recv_count(1, :)), &\n SUM(recv_count(2, :)), work_mutable=.FALSE., n=1)\n !\n blk_ps = 1\n blks = 0\n DO src_p = 0, numnodes - 1\n !data_offset_l = rd_disp(src_p)\n DO meta_l = 1, recv_count(1, src_p)\n row = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1))\n tr = row .LT. 0\n stored_row_new = ABS(row)\n stored_col_new = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1) + 1)\n nze = row_blk_size_new(stored_row_new)*col_blk_size_new(stored_col_new)\n !r_dp => recv_data(blk_ps:blk_ps+nze-1)\n !CALL dbcsr_put_block(redist, stored_row_new, stored_col_new, r_dp, tr)\n !### this should be changed to be like the make images (i.e., copy data in finalize, not here & now)\n data_block = pointer_view(data_block, recv_data, blk_ps, nze)\n CALL dbcsr_put_block(redist, stored_row_new, stored_col_new, data_block, transposed=tr)\n blk_ps = blk_ps + nze\n blks = blks + 1\n END DO\n END DO\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_data_release(data_block)\n !\n IF (dbg) THEN\n WRITE (*, *) routineN//\" Declared blocks=\", redist%wms(1)%lastblk, &\n \"actual=\", blks\n WRITE (*, *) routineN//\" Declared data size=\", redist%wms(1)%datasize, &\n \"actual=\", blk_ps\n END IF\n CALL dbcsr_finalize(redist)\n CALL dbcsr_data_release(recv_data)\n CALL dbcsr_data_release(send_data)\n DEALLOCATE (send_count)\n DEALLOCATE (recv_count)\n DEALLOCATE (sdp); DEALLOCATE (sd_disp)\n DEALLOCATE (smp); DEALLOCATE (sm_disp)\n DEALLOCATE (rd_disp)\n DEALLOCATE (rm_disp)\n DEALLOCATE (recv_meta)\n DEALLOCATE (send_meta)\n CALL timestop(handle)\n END SUBROUTINE dbcsr_redistribute\n\n SUBROUTINE dbcsr_datablock_redistribute(dblk, row_p, col_i, blk_p, &\n proc_nblks, proc_darea_sizes, new_matrix)\n !! Redistributes data blocks of a DBCSR matrix read from a file.\n !! This routine should be used with dbcsr_binary_read in the module\n !! dbcsr_io.F\n\n TYPE(dbcsr_data_obj), INTENT(IN) :: dblk\n !! data blocks of the DBCSR matrix that the current node possesses after reading the data file\n INTEGER, DIMENSION(:), INTENT(IN), &\n POINTER :: row_p, col_i, blk_p, &\n proc_nblks, proc_darea_sizes\n !! row_p of the DBCSR matrix that the current node possesses after reading the data file\n !! col_i of the DBCSR matrix that the current node possesses after reading the data file\n !! blk_p of the DBCSR matrix that the current node possesses after reading the data file\n !! 1D array holding nblks of those nodes of the mp environment, that created the file, whose contents have been read by the\n !! current node of the present mp environment\n !! 1D array holding data_area_size of those nodes of the mp environment, that created the file, whose contents have been\n !! read by the current node of the present mp environment\n TYPE(dbcsr_type), INTENT(INOUT) :: new_matrix\n !! redistributed matrix\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_datablock_redistribute'\n INTEGER, PARAMETER :: metalen = 2\n\n COMPLEX(kind=dp), DIMENSION(:), POINTER, CONTIGUOUS :: c_dp\n COMPLEX(kind=sp), DIMENSION(:), POINTER, CONTIGUOUS :: c_sp\n INTEGER :: bcol, blk, blk_ps, blk_size, blks, brow, col_size, data_type, &\n dst_p, handle, i, ind, job_count, meta_l, &\n nblkrows_total, numnodes, row_size, src_p, stored_col_new, &\n stored_row_new\n INTEGER(kind=int_8) :: actual_blk, blkp, end_ind, &\n start_ind\n INTEGER(kind=int_8), ALLOCATABLE, &\n DIMENSION(:) :: extra_darea_size, extra_nblks\n INTEGER, ALLOCATABLE, DIMENSION(:) :: rd_disp, recv_meta, rm_disp, &\n sd_disp, sdp, send_meta, &\n sm_disp, smp\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: recv_count, send_count, &\n total_recv_count, &\n total_send_count\n INTEGER, DIMENSION(:), POINTER :: col_blk_size, row_blk_size\n LOGICAL :: sym_tr, tr\n REAL(kind=dp), DIMENSION(:), POINTER, CONTIGUOUS :: r_dp\n REAL(kind=sp), DIMENSION(:), POINTER, CONTIGUOUS :: r_sp\n TYPE(dbcsr_data_obj) :: data_block, recv_data, &\n send_data\n TYPE(dbcsr_distribution_obj) :: dist\n TYPE(dbcsr_mp_obj) :: mp_env\n TYPE(mp_comm_type) :: mp_group\n\n CALL timeset(routineN, handle)\n\n dist = dbcsr_distribution(new_matrix)\n mp_env = dbcsr_distribution_mp(dist)\n numnodes = dbcsr_mp_numnodes(mp_env)\n mp_group = dbcsr_mp_group(mp_env)\n\n data_type = dbcsr_get_data_type(new_matrix)\n nblkrows_total = dbcsr_nblkrows_total(new_matrix)\n row_blk_size => array_data(new_matrix%row_blk_size)\n col_blk_size => array_data(new_matrix%col_blk_size)\n\n ALLOCATE (send_count(2, 0:numnodes - 1))\n ALLOCATE (recv_count(2, 0:numnodes - 1))\n ALLOCATE (total_send_count(2, 0:numnodes - 1))\n ALLOCATE (total_recv_count(2, 0:numnodes - 1))\n ALLOCATE (sdp(0:numnodes - 1))\n ALLOCATE (sd_disp(0:numnodes - 1))\n ALLOCATE (smp(0:numnodes - 1))\n ALLOCATE (sm_disp(0:numnodes - 1))\n ALLOCATE (rd_disp(0:numnodes - 1))\n ALLOCATE (rm_disp(0:numnodes - 1))\n send_count(:, :) = 0\n dst_p = -1\n\n job_count = COUNT(proc_nblks .NE. 0)\n\n ALLOCATE (extra_nblks(job_count))\n ALLOCATE (extra_darea_size(job_count))\n IF (job_count > 0) THEN\n CALL cumsum_l(INT((/0, proc_nblks(1:job_count - 1)/), kind=int_8), extra_nblks)\n CALL cumsum_l(INT((/0, proc_darea_sizes(1:job_count - 1)/), kind=int_8), extra_darea_size)\n END IF\n\n i = 0\n DO ind = 1, job_count*nblkrows_total\n brow = MOD(ind - 1, nblkrows_total) + 1\n IF (brow .EQ. 1) i = i + 1\n row_size = row_blk_size(brow)\n DO blk = row_p(ind + i - 1) + 1, row_p(ind + i)\n actual_blk = INT(blk, kind=int_8) + extra_nblks(i)\n bcol = col_i(actual_blk)\n col_size = col_blk_size(bcol)\n blk_size = row_size*col_size\n sym_tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(new_matrix, brow, bcol, dst_p)\n send_count(1, dst_p) = send_count(1, dst_p) + 1\n send_count(2, dst_p) = send_count(2, dst_p) + blk_size\n END DO\n END DO\n CALL mp_alltoall(send_count, recv_count, 2, mp_group)\n CALL dbcsr_data_init(recv_data)\n CALL dbcsr_data_new(recv_data, data_type, SUM(recv_count(2, :)))\n ALLOCATE (recv_meta(metalen*SUM(recv_count(1, :))))\n CALL dbcsr_data_init(send_data)\n CALL dbcsr_data_new(send_data, data_type, SUM(send_count(2, :)))\n ALLOCATE (send_meta(metalen*SUM(send_count(1, :))))\n DO dst_p = 0, numnodes - 1\n total_send_count(1, dst_p) = send_count(1, dst_p)\n total_send_count(2, dst_p) = send_count(2, dst_p)\n total_recv_count(1, dst_p) = recv_count(1, dst_p)\n total_recv_count(2, dst_p) = recv_count(2, dst_p)\n END DO\n sd_disp = -1; sm_disp = -1; rd_disp = -1; rm_disp = -1\n sd_disp(0) = 1; sm_disp(0) = 1; rd_disp(0) = 1; rm_disp(0) = 1\n DO dst_p = 1, numnodes - 1\n sm_disp(dst_p) = sm_disp(dst_p - 1) + metalen*total_send_count(1, dst_p - 1)\n sd_disp(dst_p) = sd_disp(dst_p - 1) + total_send_count(2, dst_p - 1)\n rm_disp(dst_p) = rm_disp(dst_p - 1) + metalen*total_recv_count(1, dst_p - 1)\n rd_disp(dst_p) = rd_disp(dst_p - 1) + total_recv_count(2, dst_p - 1)\n END DO\n sdp(:) = sd_disp\n smp(:) = sm_disp - metalen\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n r_sp => dblk%d%r_sp\n CASE (dbcsr_type_real_8)\n r_dp => dblk%d%r_dp\n CASE (dbcsr_type_complex_4)\n c_sp => dblk%d%c_sp\n CASE (dbcsr_type_complex_8)\n c_dp => dblk%d%c_dp\n END SELECT\n\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(data_block, data_type)\n i = 0\n dst_p = -1\n DO ind = 1, job_count*nblkrows_total\n brow = MOD(ind - 1, nblkrows_total) + 1\n IF (brow .EQ. 1) i = i + 1\n row_size = row_blk_size(brow)\n DO blk = row_p(ind + i - 1) + 1, row_p(ind + i)\n actual_blk = INT(blk, kind=int_8) + extra_nblks(i)\n bcol = col_i(actual_blk)\n col_size = col_blk_size(bcol)\n blk_size = row_size*col_size\n blkp = INT(blk_p(actual_blk), kind=int_8)\n start_ind = blkp + extra_darea_size(i)\n end_ind = blkp + extra_darea_size(i) + blk_size - 1\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n data_block%d%r_sp => r_sp(start_ind:end_ind)\n CASE (dbcsr_type_real_8)\n data_block%d%r_dp => r_dp(start_ind:end_ind)\n CASE (dbcsr_type_complex_4)\n data_block%d%c_sp => c_sp(start_ind:end_ind)\n CASE (dbcsr_type_complex_8)\n data_block%d%c_dp => c_dp(start_ind:end_ind)\n END SELECT\n sym_tr = .FALSE.\n CALL dbcsr_get_stored_coordinates(new_matrix, brow, bcol, dst_p)\n smp(dst_p) = smp(dst_p) + metalen\n tr = .FALSE.\n! IF (tr) THEN\n! send_meta(smp(dst_p)) = -brow\n! ELSE\n send_meta(smp(dst_p)) = brow\n! ENDIF\n send_meta(smp(dst_p) + 1) = bcol\n blk_size = dbcsr_data_get_size(data_block)\n\n CALL dbcsr_data_set(send_data, lb=sdp(dst_p), &\n data_size=blk_size, src=data_block, source_lb=1)\n sdp(dst_p) = sdp(dst_p) + blk_size\n END DO\n END DO\n CALL dbcsr_data_clear_pointer(data_block)\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n CALL hybrid_alltoall_s1( &\n send_data%d%r_sp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%r_sp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_env)\n CASE (dbcsr_type_real_8)\n CALL hybrid_alltoall_d1( &\n send_data%d%r_dp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%r_dp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_env)\n CASE (dbcsr_type_complex_4)\n CALL hybrid_alltoall_c1( &\n send_data%d%c_sp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%c_sp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_env)\n CASE (dbcsr_type_complex_8)\n CALL hybrid_alltoall_z1( &\n send_data%d%c_dp(:), total_send_count(2, :), sd_disp(:) - 1, &\n recv_data%d%c_dp(:), total_recv_count(2, :), rd_disp(:) - 1, &\n mp_env)\n END SELECT\n CALL hybrid_alltoall_i1(send_meta(:), metalen*total_send_count(1, :), sm_disp(:) - 1, &\n recv_meta(:), metalen*total_recv_count(1, :), rm_disp(:) - 1, mp_env)\n CALL dbcsr_work_create(new_matrix, SUM(recv_count(1, :)), &\n SUM(recv_count(2, :)), work_mutable=.FALSE., n=1)\n\n blk_ps = 1\n blks = 0\n DO src_p = 0, numnodes - 1\n DO meta_l = 1, recv_count(1, src_p)\n brow = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1))\n tr = brow .LT. 0\n stored_row_new = ABS(brow)\n stored_col_new = recv_meta(rm_disp(src_p) + metalen*(meta_l - 1) + 1)\n blk_size = row_blk_size(stored_row_new)*col_blk_size(stored_col_new)\n\n data_block = pointer_view(data_block, recv_data, blk_ps, blk_size)\n CALL dbcsr_put_block(new_matrix, stored_row_new, stored_col_new, data_block, transposed=tr)\n\n blk_ps = blk_ps + blk_size\n blks = blks + 1\n END DO\n END DO\n CALL dbcsr_data_clear_pointer(data_block)\n DEALLOCATE (data_block%d)\n CALL dbcsr_finalize(new_matrix, reshuffle=.TRUE.)\n CALL dbcsr_data_release(recv_data)\n CALL dbcsr_data_release(send_data)\n\n DEALLOCATE (send_count)\n DEALLOCATE (recv_count)\n DEALLOCATE (sdp); DEALLOCATE (sd_disp)\n DEALLOCATE (smp); DEALLOCATE (sm_disp)\n DEALLOCATE (rd_disp)\n DEALLOCATE (rm_disp)\n DEALLOCATE (recv_meta)\n DEALLOCATE (send_meta)\n DEALLOCATE (extra_nblks); DEALLOCATE (extra_darea_size)\n\n CALL timestop(handle)\n CONTAINS\n\n SUBROUTINE cumsum_l(arr, cumsum)\n INTEGER(kind=int_8), DIMENSION(:), INTENT(IN) :: arr\n INTEGER(kind=int_8), DIMENSION(:), INTENT(OUT) :: cumsum\n\n INTEGER :: i\n\n IF (SIZE(cumsum) > 0) THEN\n cumsum(1) = arr(1)\n DO i = 2, SIZE(cumsum)\n cumsum(i) = cumsum(i - 1) + arr(i)\n END DO\n END IF\n END SUBROUTINE cumsum_l\n END SUBROUTINE dbcsr_datablock_redistribute\n\nEND MODULE dbcsr_transformations\n" }, { "path": "src/tas/PACKAGE", "content": "{\n\"description\": \"tall-and-skinny matrices\",\n\"archive\": \"libdbcsr\",\n\"requires\":[\"../base\", \"../data\", \"../mm\", \"../ops\", \"../block\", \"../core\", \"../work\", \"../utils\", \"../dist\", \"../mpi\"],\n}\n" }, { "path": "src/tas/dbcsr_tas.fypp", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n#:mute\n\n#! datatypes\n#:set dtype_float_prec = ['real_8', 'real_4', 'real_8', 'real_4']\n#:set dtype_float_type = ['REAL(kind=real_8)', 'REAL(kind=real_4)', 'COMPLEX(kind=real_8)', 'COMPLEX(kind=real_4)']\n#:set dtype_float_suffix = ['r_dp', 'r_sp', 'c_dp', 'c_sp']\n#:set dtype_float_suffix_dbcsr = ['d', 's', 'z', 'c']\n#:set dtype_float_param = ['dbcsr_type_real_8', 'dbcsr_type_real_4', 'dbcsr_type_complex_8', 'dbcsr_type_complex_4']\n\n#:set dtype_int_type = ['INTEGER']\n#:set dtype_int_suffix = ['i']\n#:set dtype_int_param = ['dbcsr_type_int_4']\n\n#:set dtype_all_type = dtype_float_type + dtype_int_type\n#:set dtype_all_suffix = dtype_float_suffix + dtype_int_suffix\n#:set dtype_all_param = dtype_float_param + dtype_int_param\n\n#:set dtype_float_list = list(zip(dtype_float_param, dtype_float_type, dtype_float_suffix))\n#:set dtype_float_list_prec = list(zip(dtype_float_prec, dtype_float_param, dtype_float_type, dtype_float_suffix))\n#:set dtype_float_list_dbcsr = list(zip(dtype_float_param, dtype_float_type, dtype_float_suffix, dtype_float_suffix_dbcsr))\n\n#:set dtype_int_list = list(zip(dtype_int_param, dtype_int_type, dtype_int_suffix))\n#:set dtype_all_list = list(zip(dtype_all_param, dtype_all_type, dtype_all_suffix))\n\n#:endmute\n" }, { "path": "src/tas/dbcsr_tas_base.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_base\n !! Tall-and-skinny matrices: base routines similar to DBCSR API, mostly wrappers around existing\n !! DBCSR routines.\n\n #:include \"dbcsr_tas.fypp\"\n\n USE dbcsr_block_access, ONLY: &\n dbcsr_get_block_p, dbcsr_put_block, dbcsr_reserve_blocks\n USE dbcsr_data_methods, ONLY: &\n dbcsr_data_new, dbcsr_data_release, dbcsr_type_1d_to_2d\n USE dbcsr_data_methods_low, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_init\n USE dbcsr_data_types, ONLY: &\n dbcsr_data_obj, dbcsr_scalar_type\n USE dbcsr_dist_methods, ONLY: &\n dbcsr_distribution_col_dist, dbcsr_distribution_new, dbcsr_distribution_row_dist, dbcsr_distribution_hold\n USE dbcsr_iterator_operations, ONLY: &\n dbcsr_iterator_blocks_left, dbcsr_iterator_next_block, dbcsr_iterator_start, dbcsr_iterator_stop\n USE dbcsr_methods, ONLY: &\n dbcsr_distribution_release, dbcsr_get_data_type, dbcsr_mp_release, dbcsr_nblkcols_total, &\n dbcsr_nblkrows_total, dbcsr_nfullrows_total, dbcsr_nfullcols_total, dbcsr_release, &\n dbcsr_get_data_size, dbcsr_get_num_blocks, dbcsr_get_nze\n USE dbcsr_operations, ONLY: &\n dbcsr_get_info, dbcsr_set, dbcsr_filter, dbcsr_clear\n USE dbcsr_tas_types, ONLY: &\n dbcsr_tas_distribution_type, dbcsr_tas_iterator, dbcsr_tas_split_info, dbcsr_tas_type\n USE dbcsr_tas_global, ONLY: &\n dbcsr_tas_blk_size_arb, dbcsr_tas_dist_arb, dbcsr_tas_distribution, dbcsr_tas_rowcol_data\n USE dbcsr_tas_split, ONLY: &\n block_index_global_to_local, block_index_local_to_global, colsplit, &\n dbcsr_tas_info_hold, dbcsr_tas_release_info, dbcsr_tas_create_split, &\n group_to_mrowcol, rowsplit, dbcsr_tas_get_split_info\n USE dbcsr_tas_util, ONLY: &\n dbcsr_mp_environ, index_unique\n USE dbcsr_types, ONLY: &\n dbcsr_distribution_obj, dbcsr_iterator, dbcsr_mp_obj, dbcsr_type, dbcsr_type_no_symmetry\n USE dbcsr_work_operations, ONLY: &\n dbcsr_create, dbcsr_finalize\n USE dbcsr_kinds, ONLY: &\n default_string_length, int_8, real_8, real_4\n USE dbcsr_mpiwrap, ONLY: &\n mp_cart_rank, mp_environ, mp_sum, mp_comm_type\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tas_base'\n\n PUBLIC :: &\n ! DBCSR wrappers / interface routines\n dbcsr_tas_blk_sizes, &\n dbcsr_tas_clear, &\n dbcsr_tas_copy, &\n dbcsr_tas_create, &\n dbcsr_tas_destroy, &\n dbcsr_tas_distribution_destroy, &\n dbcsr_tas_distribution_new, &\n dbcsr_tas_filter, &\n dbcsr_tas_finalize, &\n dbcsr_tas_get_block_p, &\n dbcsr_tas_get_data_size, &\n dbcsr_tas_get_data_type, &\n dbcsr_tas_get_info, &\n dbcsr_tas_get_num_blocks, &\n dbcsr_tas_get_nze, &\n dbcsr_tas_get_nze_total, &\n dbcsr_tas_get_num_blocks_total, &\n dbcsr_tas_get_stored_coordinates, &\n dbcsr_tas_info, &\n dbcsr_tas_iterator_blocks_left, &\n dbcsr_tas_iterator_next_block, &\n dbcsr_tas_iterator_start, &\n dbcsr_tas_iterator_stop, &\n dbcsr_tas_nblkcols_local, &\n dbcsr_tas_nblkcols_total, &\n dbcsr_tas_nblkrows_local, &\n dbcsr_tas_nblkrows_total, &\n dbcsr_tas_nfullrows_total, &\n dbcsr_tas_nfullcols_total, &\n dbcsr_tas_put_block, &\n dbcsr_tas_reserve_blocks, &\n dbcsr_tas_set, &\n dbcsr_repl_get_stored_coordinates\n PUBLIC :: &\n ! conversion routines\n dbcsr_tas_convert_to_dbcsr, &\n dbcsr_tas_convert_to_tas\n\n INTERFACE dbcsr_tas_create\n MODULE PROCEDURE dbcsr_tas_create_new\n MODULE PROCEDURE dbcsr_tas_create_template\n END INTERFACE\n\n INTERFACE dbcsr_tas_get_block_p\n MODULE PROCEDURE dbcsr_tas_get_block_p_area\n END INTERFACE\n\n INTERFACE dbcsr_tas_put_block\n MODULE PROCEDURE dbcsr_tas_put_block_area\n END INTERFACE\n\n INTERFACE dbcsr_tas_reserve_blocks\n MODULE PROCEDURE dbcsr_tas_reserve_blocks_template\n MODULE PROCEDURE dbcsr_tas_reserve_blocks_index\n END INTERFACE\n\n INTERFACE dbcsr_tas_iterator_next_block\n MODULE PROCEDURE dbcsr_tas_iterator_next_area_block\n MODULE PROCEDURE dbcsr_tas_iterator_next_block_index\n END INTERFACE\n\n INTERFACE dbcsr_tas_iterator_next_block\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE dbcsr_tas_iterator_next_block_${dsuffix}$\n #:endfor\n END INTERFACE\n\n INTERFACE dbcsr_tas_put_block\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE dbcsr_tas_put_block_${dsuffix}$\n #:endfor\n END INTERFACE\n\n INTERFACE dbcsr_tas_get_block_p\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE dbcsr_tas_get_block_p_${dsuffix}$\n #:endfor\n END INTERFACE\n\n INTERFACE dbcsr_tas_set\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE dbcsr_tas_set_${dsuffix}$\n #:endfor\n END INTERFACE\n\n INTERFACE dbcsr_tas_filter\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE dbcsr_tas_filter_${dsuffix}$\n #:endfor\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE dbcsr_tas_create_new(matrix, name, dist, data_type, &\n row_blk_size, col_blk_size, own_dist)\n !! Create new tall-and-skinny matrix.\n !! Exactly like dbcsr_create_new but with custom types for row_blk_size and col_blk_size instead of\n !! arrays.\n\n TYPE(dbcsr_tas_type), INTENT(OUT) :: matrix\n CHARACTER(len=*), INTENT(IN) :: name\n TYPE(dbcsr_tas_distribution_type), INTENT(INOUT) :: dist\n INTEGER, INTENT(IN), OPTIONAL :: data_type\n CLASS(dbcsr_tas_rowcol_data), INTENT(IN) :: row_blk_size, col_blk_size\n LOGICAL, INTENT(IN), OPTIONAL :: own_dist\n !! whether matrix should own distribution\n\n TYPE(dbcsr_tas_split_info) :: info\n\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: row_blk_size_vec, col_blk_size_vec\n INTEGER :: nrows, ncols, irow, col, icol, row\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_create_new'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n CALL dbcsr_tas_copy_distribution(dist, matrix%dist, own_dist)\n matrix%nblkrows = row_blk_size%nmrowcol\n matrix%nblkcols = col_blk_size%nmrowcol\n\n DBCSR_ASSERT(matrix%nblkrows == dist%row_dist%nmrowcol)\n DBCSR_ASSERT(matrix%nblkcols == dist%col_dist%nmrowcol)\n\n matrix%nfullrows = row_blk_size%nfullrowcol\n matrix%nfullcols = col_blk_size%nfullrowcol\n\n ALLOCATE (matrix%row_blk_size, source=row_blk_size)\n ALLOCATE (matrix%col_blk_size, source=col_blk_size)\n\n info = dbcsr_tas_info(matrix)\n\n SELECT CASE (info%split_rowcol)\n CASE (rowsplit)\n matrix%nblkrowscols_split = matrix%nblkrows\n\n ASSOCIATE (rows => dist%local_rowcols)\n nrows = SIZE(rows)\n ncols = INT(dist%col_dist%nmrowcol)\n ALLOCATE (row_blk_size_vec(nrows))\n ALLOCATE (col_blk_size_vec(ncols))\n DO irow = 1, nrows\n row_blk_size_vec(irow) = row_blk_size%data(rows(irow))\n END DO\n DO col = 1, ncols\n col_blk_size_vec(col) = col_blk_size%data(INT(col, KIND=int_8))\n END DO\n END ASSOCIATE\n CASE (colsplit)\n matrix%nblkrowscols_split = matrix%nblkcols\n\n ASSOCIATE (cols => dist%local_rowcols)\n ncols = SIZE(cols)\n nrows = INT(dist%row_dist%nmrowcol)\n ALLOCATE (row_blk_size_vec(nrows))\n ALLOCATE (col_blk_size_vec(ncols))\n DO icol = 1, ncols\n col_blk_size_vec(icol) = col_blk_size%data(cols(icol))\n END DO\n DO row = 1, nrows\n row_blk_size_vec(row) = row_blk_size%data(INT(row, KIND=int_8))\n END DO\n END ASSOCIATE\n END SELECT\n\n CALL dbcsr_create(matrix=matrix%matrix, &\n name=name, &\n dist=dist%dbcsr_dist, &\n matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_size_vec, &\n col_blk_size=col_blk_size_vec, &\n data_type=data_type, &\n reuse_arrays=.TRUE.)\n\n matrix%valid = .TRUE.\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_create_template(matrix_in, matrix, name, data_type)\n !! Create matrix from template\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_in\n TYPE(dbcsr_tas_type), INTENT(OUT) :: matrix\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: name\n INTEGER, INTENT(IN), OPTIONAL :: data_type\n\n CALL dbcsr_create(matrix%matrix, template=matrix_in%matrix, matrix_type=dbcsr_type_no_symmetry, &\n data_type=data_type)\n CALL dbcsr_finalize(matrix%matrix)\n\n CALL dbcsr_tas_copy_distribution(matrix_in%dist, matrix%dist)\n ALLOCATE (matrix%row_blk_size, source=matrix_in%row_blk_size)\n ALLOCATE (matrix%col_blk_size, source=matrix_in%col_blk_size)\n matrix%nblkrows = matrix_in%nblkrows\n matrix%nblkcols = matrix_in%nblkcols\n matrix%nblkrowscols_split = matrix_in%nblkrowscols_split\n matrix%nfullrows = matrix_in%nfullrows\n matrix%nfullcols = matrix_in%nfullcols\n matrix%valid = .TRUE.\n\n IF (PRESENT(name)) THEN\n matrix%matrix%name = name\n ELSE\n matrix%matrix%name = matrix_in%matrix%name\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_destroy(matrix)\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n\n CALL dbcsr_release(matrix%matrix)\n CALL dbcsr_tas_distribution_destroy(matrix%dist)\n DEALLOCATE (matrix%row_blk_size)\n DEALLOCATE (matrix%col_blk_size)\n matrix%valid = .FALSE.\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_copy(matrix_b, matrix_a, summation)\n !! Copy matrix_a to matrix_b\n\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_b\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix_a\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! Whether to sum matrices b = a + b\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_copy'\n INTEGER :: handle\n TYPE(dbcsr_tas_iterator) :: iter\n TYPE(dbcsr_data_obj) :: block\n LOGICAL :: transposed\n INTEGER :: data_type\n INTEGER(KIND=int_8) :: row, column\n\n CALL timeset(routineN, handle)\n DBCSR_ASSERT(matrix_b%valid)\n\n CALL dbcsr_tas_get_info(matrix_a, data_type=data_type)\n\n IF (PRESENT(summation)) THEN\n IF (.NOT. summation) CALL dbcsr_tas_clear(matrix_b)\n ELSE\n CALL dbcsr_tas_clear(matrix_b)\n END IF\n\n CALL dbcsr_tas_reserve_blocks(matrix_a, matrix_b)\n\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, dbcsr_type_1d_to_2d(data_type))\n CALL dbcsr_tas_iterator_start(iter, matrix_a)\n DO WHILE (dbcsr_tas_iterator_blocks_left(iter))\n CALL dbcsr_tas_iterator_next_block(iter, row, column, block, transposed)\n CALL dbcsr_tas_put_block(matrix_b, row, column, block, transposed, summation=summation)\n END DO\n CALL dbcsr_tas_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_reserve_blocks_template(matrix_in, matrix_out)\n !! Make sure that matrix_out has same blocks reserved as matrix_in. This assumes that both\n !! matrices have same number of block rows and block columns.\n\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix_in\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_out\n TYPE(dbcsr_tas_iterator) :: iter\n INTEGER :: iblk, nblk\n INTEGER(KIND=int_8) :: row, column\n INTEGER :: blk\n INTEGER(KIND=int_8), DIMENSION(:), ALLOCATABLE :: row_res, col_res\n\n nblk = dbcsr_tas_get_num_blocks(matrix_in)\n ALLOCATE (row_res(nblk), col_res(nblk))\n CALL dbcsr_tas_iterator_start(iter, matrix_in)\n DO iblk = 1, nblk\n CALL dbcsr_tas_iterator_next_block(iter, row, column, blk)\n row_res(iblk) = row\n col_res(iblk) = column\n END DO\n DBCSR_ASSERT(.NOT. dbcsr_tas_iterator_blocks_left(iter))\n CALL dbcsr_tas_iterator_stop(iter)\n\n CALL dbcsr_tas_reserve_blocks(matrix_out, row_res, col_res)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_finalize(matrix)\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n\n CALL dbcsr_finalize(matrix%matrix)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_distribution_new(dist, mp_comm, &\n row_dist, col_dist, split_info, nosplit)\n !! create new distribution.\n !! Exactly like dbcsr_distribution_new but with custom types for row_dist and col_dist instead of\n !! arrays.\n\n TYPE(dbcsr_tas_distribution_type), INTENT(OUT) :: dist\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n CLASS(dbcsr_tas_distribution), INTENT(IN) :: row_dist, col_dist\n TYPE(dbcsr_tas_split_info), INTENT(IN), OPTIONAL :: split_info\n !! Strategy of how to split process grid (optional). If not present a default split heuristic is applied.\n LOGICAL, INTENT(IN), OPTIONAL :: nosplit\n !! if .TRUE. don't split process grid (optional)\n !LOGICAL, INTENT(IN), OPTIONAL :: strict_split\n\n TYPE(dbcsr_tas_split_info) :: split_info_prv\n\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: row_dist_vec\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist_vec\n TYPE(dbcsr_mp_obj) :: mp_environ_tmp\n INTEGER :: nrows, ncols, irow, col, icol, row, &\n split_rowcol, nsplit, handle\n LOGICAL :: opt_nsplit\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_distribution_new'\n\n CALL timeset(routineN, handle)\n IF (PRESENT(split_info)) THEN\n CALL dbcsr_tas_info_hold(split_info)\n split_info_prv = split_info\n ELSE\n ! default split heuristic: split into submatrices that have roughly same block dimensions\n IF (row_dist%nmrowcol >= col_dist%nmrowcol) THEN\n split_rowcol = rowsplit\n nsplit = INT((row_dist%nmrowcol - 1)/col_dist%nmrowcol + 1)\n ELSE\n split_rowcol = colsplit\n nsplit = INT((col_dist%nmrowcol - 1)/row_dist%nmrowcol + 1)\n END IF\n opt_nsplit = .TRUE.\n IF (PRESENT(nosplit)) THEN\n IF (nosplit) THEN\n nsplit = 1\n opt_nsplit = .FALSE.\n END IF\n END IF\n CALL dbcsr_tas_create_split(split_info_prv, mp_comm, split_rowcol, nsplit=nsplit, opt_nsplit=opt_nsplit)\n END IF\n\n SELECT CASE (split_info_prv%split_rowcol)\n CASE (rowsplit)\n CALL group_to_mrowcol(split_info_prv, row_dist, split_info_prv%igroup, dist%local_rowcols)\n nrows = SIZE(dist%local_rowcols)\n ncols = INT(col_dist%nmrowcol)\n ALLOCATE (row_dist_vec(nrows))\n ALLOCATE (col_dist_vec(ncols))\n DO irow = 1, nrows\n row_dist_vec(irow) = row_dist%dist(dist%local_rowcols(irow)) - split_info_prv%pgrid_split_size*split_info_prv%igroup\n END DO\n DO col = 1, ncols\n col_dist_vec(col) = col_dist%dist(INT(col, KIND=int_8))\n END DO\n CASE (colsplit)\n CALL group_to_mrowcol(split_info_prv, col_dist, split_info_prv%igroup, dist%local_rowcols)\n ncols = SIZE(dist%local_rowcols)\n nrows = INT(row_dist%nmrowcol)\n ALLOCATE (col_dist_vec(ncols))\n ALLOCATE (row_dist_vec(nrows))\n DO icol = 1, ncols\n col_dist_vec(icol) = col_dist%dist(dist%local_rowcols(icol)) - split_info_prv%pgrid_split_size*split_info_prv%igroup\n END DO\n DO row = 1, nrows\n row_dist_vec(row) = row_dist%dist(INT(row, KIND=int_8))\n END DO\n END SELECT\n\n mp_environ_tmp = dbcsr_mp_environ(split_info_prv%mp_comm_group)\n\n dist%info = split_info_prv\n\n CALL dbcsr_distribution_new(dist%dbcsr_dist, mp_environ_tmp, row_dist_vec, col_dist_vec, reuse_arrays=.TRUE.)\n ALLOCATE (dist%row_dist, source=row_dist)\n ALLOCATE (dist%col_dist, source=col_dist)\n CALL dbcsr_mp_release(mp_environ_tmp)\n\n !IF(PRESENT(strict_split)) dist%strict_split = strict_split\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_distribution_destroy(dist)\n TYPE(dbcsr_tas_distribution_type), INTENT(INOUT) :: dist\n\n ! Note: Issue with Cray CCE compiler\n ! commented out the following deallocate statements on polymorphic variables,\n ! these cause segfaults with CCE compiler at a later point\n\n !IF (ALLOCATED(dist%row_dist)) THEN\n ! DEALLOCATE (dist%row_dist)\n !ENDIF\n !IF (ALLOCATED(dist%col_dist)) THEN\n ! DEALLOCATE (dist%col_dist)\n !ENDIF\n\n IF (ALLOCATED(dist%local_rowcols)) THEN\n DEALLOCATE (dist%local_rowcols)\n END IF\n CALL dbcsr_tas_release_info(dist%info)\n CALL dbcsr_distribution_release(dist%dbcsr_dist)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_get_stored_coordinates(matrix, row, column, processor)\n !! As dbcsr_get_stored_coordinates\n\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8), INTENT(IN) :: row, column\n !! global matrix blocked row\n !! global matrix blocked column\n INTEGER, INTENT(OUT) :: processor\n !! process ID\n\n INTEGER, DIMENSION(2) :: pcoord\n TYPE(dbcsr_tas_split_info) :: info\n\n pcoord(1) = matrix%dist%row_dist%dist(row)\n pcoord(2) = matrix%dist%col_dist%dist(column)\n info = dbcsr_tas_info(matrix)\n\n ! workaround for inefficient mpi_cart_rank\n processor = pcoord(1)*info%pdims(2) + pcoord(2)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_repl_get_stored_coordinates(matrix, row, column, processors)\n !! Get all processors for a given row/col combination if matrix is replicated on each process\n !! subgroup.\n\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n !! tall-and-skinny matrix whose DBCSR submatrices are replicated matrices\n INTEGER, INTENT(IN) :: row, column\n !! row of a submatrix\n !! column of a submatrix\n INTEGER, DIMENSION(:), INTENT(OUT) :: processors\n\n INTEGER :: igroup\n INTEGER(KIND=int_8) :: col_s, row_s\n INTEGER, DIMENSION(2) :: pcoord\n TYPE(dbcsr_tas_split_info) :: info\n\n row_s = INT(row, KIND=int_8); col_s = INT(column, KIND=int_8)\n\n info = dbcsr_tas_info(matrix)\n pcoord(1) = matrix%dist%row_dist%dist(row_s)\n pcoord(2) = matrix%dist%col_dist%dist(col_s)\n\n DO igroup = 0, info%ngroup - 1\n CALL mp_cart_rank(info%mp_comm, pcoord, processors(igroup + 1))\n SELECT CASE (info%split_rowcol)\n CASE (rowsplit)\n row_s = row_s + dbcsr_tas_nblkrows_local(matrix)\n pcoord(1) = matrix%dist%row_dist%dist(row_s)\n CASE (colsplit)\n col_s = col_s + dbcsr_tas_nblkcols_local(matrix)\n pcoord(2) = matrix%dist%col_dist%dist(col_s)\n END SELECT\n END DO\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_convert_to_dbcsr(matrix_rect, matrix_dbcsr)\n !! Convert a tall-and-skinny matrix into a normal DBCSR matrix.\n !! This is not recommended for matrices with a very large dimension.\n\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix_rect\n TYPE(dbcsr_type), INTENT(OUT) :: matrix_dbcsr\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_convert_to_dbcsr'\n\n INTEGER :: handle\n INTEGER(KIND=int_8) :: col, row\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist_vec, col_size_vec, &\n row_dist_vec, row_size_vec\n LOGICAL :: tr\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_distribution_obj) :: dist\n TYPE(dbcsr_mp_obj) :: mp_environ_tmp\n TYPE(dbcsr_tas_iterator) :: iter\n TYPE(dbcsr_tas_split_info) :: info\n INTEGER :: block_number, rb_count, nblks_local\n INTEGER, DIMENSION(:), ALLOCATABLE :: nz_rows, nz_cols\n\n CALL timeset(routineN, handle)\n\n info = dbcsr_tas_info(matrix_rect)\n\n ALLOCATE (row_dist_vec(matrix_rect%nblkrows))\n ALLOCATE (row_size_vec(matrix_rect%nblkrows))\n ALLOCATE (col_dist_vec(matrix_rect%nblkcols))\n ALLOCATE (col_size_vec(matrix_rect%nblkcols))\n\n DO row = 1, matrix_rect%nblkrows\n row_dist_vec(row) = matrix_rect%dist%row_dist%dist(row)\n row_size_vec(row) = matrix_rect%row_blk_size%data(row)\n END DO\n\n DO col = 1, matrix_rect%nblkcols\n col_dist_vec(col) = matrix_rect%dist%col_dist%dist(col)\n col_size_vec(col) = matrix_rect%col_blk_size%data(col)\n END DO\n\n mp_environ_tmp = dbcsr_mp_environ(info%mp_comm)\n CALL dbcsr_distribution_new(dist, mp_environ_tmp, row_dist_vec, col_dist_vec, reuse_arrays=.TRUE.)\n CALL dbcsr_mp_release(mp_environ_tmp)\n\n CALL dbcsr_create(matrix=matrix_dbcsr, &\n name=TRIM(matrix_rect%matrix%name), &\n dist=dist, &\n matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_size_vec, &\n col_blk_size=col_size_vec, &\n data_type=dbcsr_get_data_type(matrix_rect%matrix), &\n reuse_arrays=.TRUE.)\n\n CALL dbcsr_distribution_release(dist)\n\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, dbcsr_type_1d_to_2d(dbcsr_tas_get_data_type(matrix_rect)))\n\n nblks_local = dbcsr_tas_get_num_blocks(matrix_rect)\n CALL dbcsr_tas_iterator_start(iter, matrix_rect)\n ALLOCATE (nz_rows(nblks_local), nz_cols(nblks_local))\n rb_count = 0\n DO WHILE (dbcsr_tas_iterator_blocks_left(iter))\n CALL dbcsr_tas_iterator_next_block(iter, row, col, block_number)\n rb_count = rb_count + 1\n nz_rows(rb_count) = INT(row)\n nz_cols(rb_count) = INT(col)\n END DO\n\n CALL dbcsr_reserve_blocks(matrix_dbcsr, nz_rows, nz_cols)\n\n CALL dbcsr_tas_iterator_stop(iter)\n CALL dbcsr_tas_iterator_start(iter, matrix_rect)\n DO WHILE (dbcsr_tas_iterator_blocks_left(iter))\n CALL dbcsr_tas_iterator_next_block(iter, row, col, block, tr)\n CALL dbcsr_put_block(matrix_dbcsr, INT(row), INT(col), block)\n END DO\n\n CALL dbcsr_tas_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n\n CALL dbcsr_finalize(matrix_dbcsr)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_convert_to_tas(info, matrix_rect, matrix_dbcsr)\n !! Converts a DBCSR matrix into the tall-and-skinny matrix type.\n\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: info\n !! Strategy of how to split process grid\n TYPE(dbcsr_tas_type), INTENT(OUT) :: matrix_rect\n TYPE(dbcsr_type), INTENT(IN) :: matrix_dbcsr\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_convert_to_tas'\n\n CHARACTER(len=default_string_length) :: name\n INTEGER :: col, data_type, handle, numnodes, row\n INTEGER(KIND=int_8) :: nbcols, nbrows\n INTEGER, DIMENSION(2) :: pcoord, pdims\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_blk_size, row_blk_size\n LOGICAL :: tr\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_distribution_obj) :: dbcsr_dist\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_tas_blk_size_arb) :: col_blk_size_obj, row_blk_size_obj\n TYPE(dbcsr_tas_dist_arb) :: col_dist_obj, row_dist_obj\n TYPE(dbcsr_tas_distribution_type) :: dist\n\n NULLIFY (col_blk_size, row_blk_size)\n CALL timeset(routineN, handle)\n CALL mp_environ(numnodes, pdims, pcoord, info%mp_comm)\n CALL dbcsr_get_info(matrix_dbcsr, distribution=dbcsr_dist, name=name, data_type=data_type, &\n row_blk_size=row_blk_size, col_blk_size=col_blk_size)\n\n nbrows = dbcsr_nblkrows_total(matrix_dbcsr)\n nbcols = dbcsr_nblkcols_total(matrix_dbcsr)\n\n row_dist_obj = dbcsr_tas_dist_arb(dbcsr_distribution_row_dist(dbcsr_dist), pdims(1), nbrows)\n col_dist_obj = dbcsr_tas_dist_arb(dbcsr_distribution_col_dist(dbcsr_dist), pdims(2), nbcols)\n\n row_blk_size_obj = dbcsr_tas_blk_size_arb(row_blk_size)\n col_blk_size_obj = dbcsr_tas_blk_size_arb(col_blk_size)\n\n CALL dbcsr_tas_distribution_new(dist, info%mp_comm, row_dist_obj, col_dist_obj)\n\n CALL dbcsr_tas_create(matrix_rect, TRIM(name)//\"_compressed\", &\n dist, data_type, row_blk_size_obj, col_blk_size_obj)\n\n CALL dbcsr_data_init(block)\n\n CALL dbcsr_data_new(block, dbcsr_type_1d_to_2d(data_type))\n CALL dbcsr_iterator_start(iter, matrix_dbcsr)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, block, tr)\n CALL dbcsr_tas_put_block(matrix_rect, INT(row, KIND=int_8), INT(col, KIND=int_8), block)\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n\n CALL dbcsr_tas_finalize(matrix_rect)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_iterator_start(iter, matrix_in)\n !! As dbcsr_iterator_start\n TYPE(dbcsr_tas_iterator), INTENT(INOUT) :: iter\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix_in\n\n CALL dbcsr_iterator_start(iter%iter, matrix_in%matrix)\n\n iter%dist = matrix_in%dist\n END SUBROUTINE\n\n FUNCTION dbcsr_tas_iterator_blocks_left(iter)\n !! As dbcsr_iterator_blocks_left\n TYPE(dbcsr_tas_iterator), INTENT(IN) :: iter\n LOGICAL :: dbcsr_tas_iterator_blocks_left\n\n dbcsr_tas_iterator_blocks_left = dbcsr_iterator_blocks_left(iter%iter)\n END FUNCTION\n\n SUBROUTINE dbcsr_tas_iterator_stop(iter)\n !! As dbcsr_iterator_stop\n TYPE(dbcsr_tas_iterator), INTENT(INOUT) :: iter\n\n CALL dbcsr_iterator_stop(iter%iter)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_iterator_next_area_block(iterator, row, column, block, transposed, block_number, &\n !! As dbcsr_iterator_next_block\n row_size, col_size)\n TYPE(dbcsr_tas_iterator), INTENT(INOUT) :: iterator\n INTEGER(KIND=int_8), INTENT(OUT) :: row, column\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: block\n LOGICAL, INTENT(OUT) :: transposed\n INTEGER, INTENT(OUT), OPTIONAL :: block_number, row_size, col_size\n\n INTEGER :: column_group, row_group\n\n CALL dbcsr_iterator_next_block(iterator%iter, row_group, column_group, block, transposed, block_number, &\n row_size, col_size)\n\n CALL block_index_local_to_global(iterator%dist%info, iterator%dist, row_group=row_group, column_group=column_group, &\n row=row, column=column)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_iterator_next_block_index(iterator, row, column, block_number, &\n transposed, blk_p, row_size, col_size)\n !! As dbcsr_iterator_next_block\n\n TYPE(dbcsr_tas_iterator), INTENT(INOUT) :: iterator\n INTEGER(KIND=int_8), INTENT(OUT) :: row, column\n !! global block row\n !! global block column\n INTEGER, INTENT(OUT) :: block_number\n LOGICAL, INTENT(OUT), OPTIONAL :: transposed\n INTEGER, INTENT(OUT), OPTIONAL :: blk_p, row_size, col_size\n\n INTEGER :: column_group, row_group\n\n CALL dbcsr_iterator_next_block(iterator%iter, row_group, column_group, block_number, transposed, blk_p, &\n row_size, col_size)\n\n CALL block_index_local_to_global(iterator%dist%info, iterator%dist, row_group=row_group, column_group=column_group, &\n row=row, column=column)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_reserve_blocks_index(matrix, rows, columns)\n !! As dbcsr_reserve_blocks\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n INTEGER(KIND=int_8), DIMENSION(:), INTENT(IN) :: rows, columns\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_reserve_blocks_index'\n\n INTEGER :: handle, icol, irow\n INTEGER, DIMENSION(SIZE(rows), 2) :: rowcols_group\n INTEGER, DIMENSION(:, :), ALLOCATABLE :: rowcols_group_u\n\n CALL timeset(routineN, handle)\n\n DO irow = 1, SIZE(rows)\n CALL block_index_global_to_local(dbcsr_tas_info(matrix), matrix%dist, row=rows(irow), &\n row_group=rowcols_group(irow, 1))\n END DO\n\n DO icol = 1, SIZE(columns)\n CALL block_index_global_to_local(dbcsr_tas_info(matrix), matrix%dist, column=columns(icol), &\n column_group=rowcols_group(icol, 2))\n END DO\n\n CALL index_unique(rowcols_group, rowcols_group_u) ! make sure that index is unique, not sure\n ! if this is really needed or whether DBCSR\n ! takes care of duplicate indices\n\n CALL dbcsr_reserve_blocks(matrix%matrix, rowcols_group_u(:, 1), rowcols_group_u(:, 2))\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_put_block_area(matrix, row, col, block, transposed, summation, &\n !! As dbcsr_put_block\n scale)\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n INTEGER(KIND=int_8), INTENT(IN) :: row, col\n TYPE(dbcsr_data_obj) :: block\n LOGICAL, INTENT(IN), OPTIONAL :: transposed, summation\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale\n\n INTEGER :: col_group, row_group\n\n CALL block_index_global_to_local(dbcsr_tas_info(matrix), matrix%dist, row=row, column=col, &\n row_group=row_group, column_group=col_group)\n CALL dbcsr_put_block(matrix%matrix, row_group, col_group, block, transposed=transposed, summation=summation, scale=scale)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_get_block_p_area(matrix, row, col, block, transposed, found, row_size, col_size)\n !! As dbcsr_get_block_p\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n INTEGER(KIND=int_8), INTENT(IN) :: row, col\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: block\n LOGICAL, INTENT(OUT) :: transposed, found\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n\n INTEGER :: col_group, row_group\n\n CALL block_index_global_to_local(dbcsr_tas_info(matrix), matrix%dist, row=row, column=col, &\n row_group=row_group, column_group=col_group)\n\n CALL dbcsr_get_block_p(matrix%matrix, row_group, col_group, block, transposed, found, row_size=row_size, col_size=col_size)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_copy_distribution(dist_in, dist_out, own_dist)\n !! Copy a distribution\n\n TYPE(dbcsr_tas_distribution_type), INTENT(INOUT) :: dist_in\n TYPE(dbcsr_tas_distribution_type), INTENT(OUT) :: dist_out\n LOGICAL, INTENT(IN), OPTIONAL :: own_dist\n !! Whether distribution should be owned by dist_out\n\n LOGICAL :: own_dist_prv\n\n IF (PRESENT(own_dist)) THEN\n own_dist_prv = own_dist\n ELSE\n own_dist_prv = .FALSE.\n END IF\n\n IF (.NOT. own_dist_prv) THEN\n CALL dbcsr_distribution_hold(dist_in%dbcsr_dist)\n CALL dbcsr_tas_info_hold(dist_in%info)\n END IF\n\n dist_out = dist_in\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_blk_sizes(matrix, row, col, row_size, col_size)\n !! Get block size for a given row & column\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8), INTENT(IN) :: row, col\n INTEGER, INTENT(OUT) :: row_size, col_size\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_blk_sizes'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n row_size = matrix%row_blk_size%data(row)\n col_size = matrix%col_blk_size%data(col)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n FUNCTION dbcsr_tas_info(matrix)\n !! get info on mpi grid splitting\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n TYPE(dbcsr_tas_split_info) :: dbcsr_tas_info\n\n dbcsr_tas_info = matrix%dist%info\n END FUNCTION\n\n FUNCTION dbcsr_tas_nblkrows_total(matrix) RESULT(nblkrows_total)\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8) :: nblkrows_total\n\n nblkrows_total = matrix%nblkrows\n END FUNCTION\n\n FUNCTION dbcsr_tas_nfullrows_total(matrix) RESULT(nfullrows_total)\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8) :: nfullrows_total\n\n nfullrows_total = matrix%nfullrows\n END FUNCTION\n\n FUNCTION dbcsr_tas_nblkcols_total(matrix) RESULT(nblkcols_total)\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8) :: nblkcols_total\n\n nblkcols_total = matrix%nblkcols\n END FUNCTION\n\n FUNCTION dbcsr_tas_nfullcols_total(matrix) RESULT(nfullcols_total)\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8) :: nfullcols_total\n\n nfullcols_total = matrix%nfullcols\n END FUNCTION\n FUNCTION dbcsr_tas_nblkcols_local(matrix) RESULT(nblkcols_local)\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER :: nblkcols_local\n\n nblkcols_local = dbcsr_nblkcols_total(matrix%matrix)\n END FUNCTION\n\n FUNCTION dbcsr_tas_nblkrows_local(matrix) RESULT(nblkrows_local)\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER :: nblkrows_local\n\n nblkrows_local = dbcsr_nblkrows_total(matrix%matrix)\n END FUNCTION\n\n PURE FUNCTION dbcsr_tas_get_num_blocks(matrix) RESULT(num_blocks)\n !! As dbcsr_get_num_blocks: get number of local blocks\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER :: num_blocks\n\n num_blocks = dbcsr_get_num_blocks(matrix%matrix)\n END FUNCTION\n\n FUNCTION dbcsr_tas_get_num_blocks_total(matrix) RESULT(num_blocks)\n !! get total number of blocks\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8) :: num_blocks\n TYPE(dbcsr_tas_split_info) :: info\n\n info = dbcsr_tas_info(matrix)\n num_blocks = dbcsr_tas_get_num_blocks(matrix)\n CALL mp_sum(num_blocks, info%mp_comm)\n\n END FUNCTION\n\n PURE FUNCTION dbcsr_tas_get_nze(matrix)\n !! As dbcsr_get_nze: get number of local non-zero elements\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER :: dbcsr_tas_get_nze\n\n dbcsr_tas_get_nze = dbcsr_get_nze(matrix%matrix)\n\n END FUNCTION\n\n FUNCTION dbcsr_tas_get_nze_total(matrix)\n !! Get total number of non-zero elements\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8) :: dbcsr_tas_get_nze_total\n TYPE(dbcsr_tas_split_info) :: info\n\n dbcsr_tas_get_nze_total = dbcsr_tas_get_nze(matrix)\n info = dbcsr_tas_info(matrix)\n CALL mp_sum(dbcsr_tas_get_nze_total, info%mp_comm)\n END FUNCTION\n\n FUNCTION dbcsr_tas_get_data_type(matrix) RESULT(data_type)\n !! As dbcsr_get_data_type\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER :: data_type\n\n data_type = dbcsr_get_data_type(matrix%matrix)\n END FUNCTION\n\n FUNCTION dbcsr_tas_get_data_size(matrix) RESULT(data_size)\n !! As dbcsr_get_data_size\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER :: data_size\n\n data_size = dbcsr_get_data_size(matrix%matrix)\n END FUNCTION\n\n SUBROUTINE dbcsr_tas_clear(matrix)\n !! Clear matrix (erase all data)\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n\n CALL dbcsr_clear(matrix%matrix)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_get_info(matrix, nblkrows_total, nblkcols_total, &\n nfullrows_total, nfullcols_total, &\n nblkrows_local, nblkcols_local, &\n nfullrows_local, nfullcols_local, &\n nprow, npcol, my_prow, my_pcol, &\n local_rows, local_cols, proc_row_dist, proc_col_dist, &\n row_blk_size, col_blk_size, distribution, name, data_area, &\n matrix_type, data_type)\n\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: nblkrows_total, nblkcols_total, nfullrows_total, &\n nfullcols_total\n INTEGER, INTENT(OUT), OPTIONAL :: nblkrows_local, nblkcols_local, nfullrows_local, &\n nfullcols_local, nprow, npcol, my_prow, my_pcol\n INTEGER(KIND=int_8), DIMENSION(:), OPTIONAL, ALLOCATABLE :: local_rows, local_cols\n CLASS(dbcsr_tas_distribution), ALLOCATABLE, OPTIONAL, &\n INTENT(OUT) :: proc_row_dist, proc_col_dist\n CLASS(dbcsr_tas_rowcol_data), ALLOCATABLE, OPTIONAL, &\n INTENT(OUT) :: row_blk_size, col_blk_size\n TYPE(dbcsr_tas_distribution_type), OPTIONAL :: distribution\n CHARACTER(len=*), INTENT(OUT), OPTIONAL :: name\n TYPE(dbcsr_data_obj), INTENT(OUT), OPTIONAL :: data_area\n CHARACTER, OPTIONAL :: matrix_type\n INTEGER, OPTIONAL :: data_type\n\n TYPE(dbcsr_tas_split_info) :: info\n INTEGER :: numnodes, irow, icol\n INTEGER, DIMENSION(2) :: pdims, pcoord\n INTEGER, DIMENSION(:), POINTER :: local_rows_local, local_cols_local\n\n NULLIFY (local_rows_local, local_cols_local)\n CALL dbcsr_get_info(matrix%matrix, nblkrows_local=nblkrows_local, nblkcols_local=nblkcols_local, &\n nfullrows_local=nfullrows_local, nfullcols_local=nfullcols_local, &\n local_rows=local_rows_local, local_cols=local_cols_local, &\n name=name, data_area=data_area, matrix_type=matrix_type, data_type=data_type)\n\n IF (PRESENT(nblkrows_total)) nblkrows_total = dbcsr_tas_nblkrows_total(matrix)\n IF (PRESENT(nblkcols_total)) nblkcols_total = dbcsr_tas_nblkcols_total(matrix)\n\n IF (PRESENT(nfullrows_total)) nfullrows_total = dbcsr_tas_nfullrows_total(matrix)\n IF (PRESENT(nfullcols_total)) nfullcols_total = dbcsr_tas_nfullcols_total(matrix)\n\n info = dbcsr_tas_info(matrix)\n\n CALL mp_environ(numnodes, pdims, pcoord, info%mp_comm)\n IF (PRESENT(my_prow)) my_prow = pcoord(1)\n IF (PRESENT(my_pcol)) my_pcol = pcoord(2)\n IF (PRESENT(nprow)) nprow = pdims(1)\n IF (PRESENT(npcol)) npcol = pdims(2)\n\n IF (PRESENT(local_rows)) THEN\n ALLOCATE (local_rows(SIZE(local_rows_local)))\n DO irow = 1, SIZE(local_rows_local)\n CALL block_index_local_to_global(info, matrix%dist, row_group=local_rows_local(irow), row=local_rows(irow))\n END DO\n END IF\n\n IF (PRESENT(local_cols)) THEN\n ALLOCATE (local_cols(SIZE(local_cols_local)))\n DO icol = 1, SIZE(local_cols_local)\n CALL block_index_local_to_global(info, matrix%dist, column_group=local_cols_local(icol), column=local_cols(icol))\n END DO\n END IF\n\n IF (PRESENT(proc_row_dist)) ALLOCATE (proc_row_dist, SOURCE=matrix%dist%row_dist)\n IF (PRESENT(proc_col_dist)) ALLOCATE (proc_col_dist, SOURCE=matrix%dist%col_dist)\n\n IF (PRESENT(row_blk_size)) ALLOCATE (row_blk_size, SOURCE=matrix%row_blk_size)\n IF (PRESENT(col_blk_size)) ALLOCATE (col_blk_size, SOURCE=matrix%col_blk_size)\n IF (PRESENT(distribution)) distribution = matrix%dist\n\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE dbcsr_tas_iterator_next_block_${dsuffix}$ (iterator, row, column, block, transposed, block_number, &\n !! As dbcsr_iterator_next_block\n row_size, col_size)\n TYPE(dbcsr_tas_iterator), INTENT(INOUT) :: iterator\n INTEGER(KIND=int_8), INTENT(OUT) :: row, column\n ${dtype}$, DIMENSION(:, :), POINTER :: block\n LOGICAL, INTENT(OUT) :: transposed\n INTEGER, INTENT(OUT), OPTIONAL :: block_number\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n\n INTEGER :: row_group, column_group\n\n CALL dbcsr_iterator_next_block(iterator%iter, row_group, column_group, block, transposed, block_number, &\n row_size, col_size)\n\n CALL block_index_local_to_global(iterator%dist%info, iterator%dist, row_group=row_group, column_group=column_group, &\n row=row, column=column)\n\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n !! As dbcsr_put_block\n SUBROUTINE dbcsr_tas_put_block_${dsuffix}$ (matrix, row, col, block, transposed, summation, &\n scale)\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n ${dtype}$, DIMENSION(:, :), INTENT(IN) :: block\n LOGICAL, INTENT(IN), OPTIONAL :: transposed, summation\n INTEGER(KIND=int_8), INTENT(IN) :: row, col\n ${dtype}$, INTENT(IN), OPTIONAL :: scale\n\n INTEGER :: col_group, row_group\n\n CALL block_index_global_to_local(matrix%dist%info, matrix%dist, row=row, column=col, &\n row_group=row_group, column_group=col_group)\n\n CALL dbcsr_put_block(matrix%matrix, row_group, col_group, block, transposed=transposed, summation=summation, scale=scale)\n\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE dbcsr_tas_get_block_p_${dsuffix}$ (matrix, row, col, block, transposed, found, row_size, col_size)\n !! As dbcsr_get_block_p\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n INTEGER(KIND=int_8), INTENT(IN) :: row, col\n ${dtype}$, DIMENSION(:, :), POINTER :: block\n LOGICAL, INTENT(OUT) :: transposed\n LOGICAL, INTENT(OUT) :: found\n INTEGER, INTENT(OUT), OPTIONAL :: row_size, col_size\n\n INTEGER :: col_group, row_group\n\n CALL block_index_global_to_local(matrix%dist%info, matrix%dist, row=row, column=col, &\n row_group=row_group, column_group=col_group)\n\n CALL dbcsr_get_block_p(matrix%matrix, row_group, col_group, block, transposed, found, row_size=row_size, col_size=col_size)\n\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE dbcsr_tas_set_${dsuffix}$ (matrix, alpha)\n !! As dbcsr_set\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n ${dtype}$, INTENT(IN) :: alpha\n CALL dbcsr_set(matrix%matrix, alpha)\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE dbcsr_tas_filter_${dsuffix}$ (matrix, eps, method, use_absolute)\n !! As dbcsr_filter\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n ${dtype}$, INTENT(IN) :: eps\n INTEGER, INTENT(IN), OPTIONAL :: method\n LOGICAL, INTENT(IN), OPTIONAL :: use_absolute\n\n CALL dbcsr_filter(matrix%matrix, eps, method, use_absolute)\n\n END SUBROUTINE\n #:endfor\n\nEND MODULE\n" }, { "path": "src/tas/dbcsr_tas_global.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_global\n !! Global data (distribution and block sizes) for tall-and-skinny matrices\n !! For very sparse matrices with one very large dimension, storing array data of the same size\n !! as the matrix dimensions may require too much memory and we need to compute them on the fly for a\n !! given row or column. Hence global array data such as distribution and block sizes are specified as\n !! function objects, leaving up to the caller how to efficiently store global data.\n\n USE dbcsr_kinds, ONLY: int_8, dp\n USE dbcsr_toollib, ONLY: sort\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tas_global'\n\n PUBLIC :: &\n dbcsr_tas_blk_size_arb, &\n dbcsr_tas_blk_size_repl, &\n dbcsr_tas_blk_size_one, &\n dbcsr_tas_dist_arb, &\n dbcsr_tas_dist_arb_default, &\n dbcsr_tas_dist_cyclic, &\n dbcsr_tas_dist_repl, &\n dbcsr_tas_distribution, &\n dbcsr_tas_rowcol_data, &\n dbcsr_tas_default_distvec\n\n ! abstract type for distribution vectors along one dimension\n TYPE, ABSTRACT :: dbcsr_tas_distribution\n ! number of process rows / columns:\n INTEGER :: nprowcol = -1\n ! number of matrix rows / columns:\n INTEGER(KIND=int_8) :: nmrowcol = -1_int_8\n CONTAINS\n ! map matrix rows/cols to distribution rows/cols:\n PROCEDURE(rowcol_dist), deferred :: dist\n ! map distribution rows/cols to matrix rows/cols:\n PROCEDURE(dist_rowcols), deferred :: rowcols\n END TYPE\n\n ! type for cyclic (round robin) distribution:\n ! - may not be load balanced for arbitrary block sizes\n ! - memory efficient for large dimensions\n TYPE, EXTENDS(dbcsr_tas_distribution) :: dbcsr_tas_dist_cyclic\n INTEGER :: split_size = -1\n CONTAINS\n PROCEDURE :: dist => cyclic_dist\n PROCEDURE :: rowcols => cyclic_rowcols\n END TYPE\n\n ! type for arbitrary distributions\n ! - stored as an array\n ! - not memory efficient for large dimensions\n TYPE, EXTENDS(dbcsr_tas_distribution) :: dbcsr_tas_dist_arb\n INTEGER, DIMENSION(:), ALLOCATABLE :: dist_vec\n CONTAINS\n PROCEDURE :: dist => arb_dist\n PROCEDURE :: rowcols => arb_rowcols\n END TYPE\n\n ! type for replicated distribution\n ! - a submatrix distribution replicated on all process groups\n ! - memory efficient for large dimensions\n TYPE, EXTENDS(dbcsr_tas_distribution) :: dbcsr_tas_dist_repl\n INTEGER, DIMENSION(:), ALLOCATABLE :: dist_vec\n INTEGER :: nmrowcol_local = -1\n INTEGER :: n_repl = -1\n INTEGER :: dist_size = -1\n CONTAINS\n PROCEDURE :: dist => repl_dist\n PROCEDURE :: rowcols => repl_rowcols\n END TYPE\n\n ! abstract type for integer data (e.g. block sizes) along one dimension\n TYPE, ABSTRACT :: dbcsr_tas_rowcol_data\n ! number of matrix rows / columns (blocks):\n INTEGER(KIND=int_8) :: nmrowcol = -1_int_8\n ! number of matrix rows / columns (elements):\n INTEGER(KIND=int_8) :: nfullrowcol = -1_int_8\n CONTAINS\n ! integer data for each block row / col\n PROCEDURE(rowcol_data), deferred :: DATA\n END TYPE\n\n ! type for arbitrary block sizes\n ! - stored as an array\n ! - not memory efficient for large dimensions\n TYPE, EXTENDS(dbcsr_tas_rowcol_data) :: dbcsr_tas_blk_size_arb\n INTEGER, DIMENSION(:), ALLOCATABLE :: blk_size_vec\n CONTAINS\n PROCEDURE :: DATA => blk_size_arb\n END TYPE\n\n ! type for replicated block sizes\n ! - submatrix block sizes replicated on all process groups\n ! - memory efficient for large dimensions\n TYPE, EXTENDS(dbcsr_tas_rowcol_data) :: dbcsr_tas_blk_size_repl\n INTEGER, DIMENSION(:), ALLOCATABLE :: blk_size_vec\n INTEGER :: nmrowcol_local = -1\n CONTAINS\n PROCEDURE :: DATA => blk_size_repl\n END TYPE\n\n ! type for blocks of size one\n ! - memory efficient for large dimensions\n TYPE, EXTENDS(dbcsr_tas_rowcol_data) :: dbcsr_tas_blk_size_one\n CONTAINS\n PROCEDURE :: DATA => blk_size_one\n END TYPE\n\n ABSTRACT INTERFACE\n FUNCTION rowcol_dist(t, rowcol)\n !! map matrix rows/cols to distribution rows/cols:\n IMPORT :: dbcsr_tas_distribution, int_8\n CLASS(dbcsr_tas_distribution), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: rowcol_dist\n END FUNCTION\n\n FUNCTION dist_rowcols(t, dist)\n !! map distribution rows/cols to matrix rows/cols:\n IMPORT :: dbcsr_tas_distribution, int_8\n CLASS(dbcsr_tas_distribution), INTENT(IN) :: t\n INTEGER, INTENT(IN) :: dist\n INTEGER(KIND=int_8), DIMENSION(:), ALLOCATABLE :: dist_rowcols\n END FUNCTION\n\n FUNCTION rowcol_data(t, rowcol)\n !! integer data for each block row / col\n IMPORT :: dbcsr_tas_rowcol_data, int_8\n CLASS(dbcsr_tas_rowcol_data), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: rowcol_data\n END FUNCTION\n\n END INTERFACE\n\n INTERFACE dbcsr_tas_dist_cyclic\n MODULE PROCEDURE new_dbcsr_tas_dist_cyclic\n END INTERFACE\n\n INTERFACE dbcsr_tas_dist_arb\n MODULE PROCEDURE new_dbcsr_tas_dist_arb\n END INTERFACE\n\n INTERFACE dbcsr_tas_dist_repl\n MODULE PROCEDURE new_dbcsr_tas_dist_repl\n END INTERFACE\n\n INTERFACE dbcsr_tas_blk_size_arb\n MODULE PROCEDURE new_dbcsr_tas_blk_size_arb\n END INTERFACE\n\n INTERFACE dbcsr_tas_blk_size_repl\n MODULE PROCEDURE new_dbcsr_tas_blk_size_repl\n END INTERFACE\n\n INTERFACE dbcsr_tas_blk_size_one\n MODULE PROCEDURE new_dbcsr_tas_blk_size_one\n END INTERFACE\n\nCONTAINS\n FUNCTION blk_size_arb(t, rowcol)\n CLASS(dbcsr_tas_blk_size_arb), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: blk_size_arb\n blk_size_arb = t%blk_size_vec(rowcol)\n END FUNCTION\n\n FUNCTION blk_size_repl(t, rowcol)\n CLASS(dbcsr_tas_blk_size_repl), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: blk_size_repl\n INTEGER :: igroup\n INTEGER :: rowcol_local\n\n igroup = INT((rowcol - 1_int_8)/t%nmrowcol_local)\n rowcol_local = INT(MOD(rowcol - 1_int_8, INT(t%nmrowcol_local, KIND=int_8))) + 1\n blk_size_repl = t%blk_size_vec(rowcol_local)\n\n END FUNCTION\n\n FUNCTION blk_size_one(t, rowcol)\n CLASS(dbcsr_tas_blk_size_one), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: blk_size_one\n\n MARK_USED(t)\n MARK_USED(rowcol)\n blk_size_one = 1\n END FUNCTION\n\n FUNCTION new_dbcsr_tas_blk_size_arb(blk_size_vec)\n INTEGER, DIMENSION(:), INTENT(IN) :: blk_size_vec\n TYPE(dbcsr_tas_blk_size_arb) :: new_dbcsr_tas_blk_size_arb\n\n ALLOCATE (new_dbcsr_tas_blk_size_arb%blk_size_vec(SIZE(blk_size_vec)))\n new_dbcsr_tas_blk_size_arb%blk_size_vec(:) = blk_size_vec(:)\n new_dbcsr_tas_blk_size_arb%nmrowcol = SIZE(blk_size_vec)\n new_dbcsr_tas_blk_size_arb%nfullrowcol = SUM(blk_size_vec)\n END FUNCTION\n\n FUNCTION new_dbcsr_tas_blk_size_repl(blk_size_vec, n_repl)\n INTEGER, DIMENSION(:), INTENT(IN) :: blk_size_vec\n INTEGER, INTENT(IN) :: n_repl\n TYPE(dbcsr_tas_blk_size_repl) :: new_dbcsr_tas_blk_size_repl\n\n new_dbcsr_tas_blk_size_repl%nmrowcol_local = SIZE(blk_size_vec)\n ALLOCATE (new_dbcsr_tas_blk_size_repl%blk_size_vec(new_dbcsr_tas_blk_size_repl%nmrowcol_local))\n new_dbcsr_tas_blk_size_repl%blk_size_vec(:) = blk_size_vec(:)\n new_dbcsr_tas_blk_size_repl%nmrowcol = new_dbcsr_tas_blk_size_repl%nmrowcol_local*n_repl\n new_dbcsr_tas_blk_size_repl%nfullrowcol = SUM(blk_size_vec)*n_repl\n END FUNCTION\n\n FUNCTION new_dbcsr_tas_blk_size_one(nrowcol)\n INTEGER(KIND=int_8), INTENT(IN) :: nrowcol\n TYPE(dbcsr_tas_blk_size_one) :: new_dbcsr_tas_blk_size_one\n\n new_dbcsr_tas_blk_size_one%nmrowcol = nrowcol\n new_dbcsr_tas_blk_size_one%nfullrowcol = nrowcol\n END FUNCTION\n\n FUNCTION arb_dist(t, rowcol)\n CLASS(dbcsr_tas_dist_arb), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: arb_dist\n\n arb_dist = t%dist_vec(rowcol)\n END FUNCTION\n\n FUNCTION repl_dist(t, rowcol)\n CLASS(dbcsr_tas_dist_repl), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: repl_dist\n INTEGER :: rowcol_local\n INTEGER :: igroup\n\n igroup = INT((rowcol - 1_int_8)/t%nmrowcol_local)\n rowcol_local = INT(MOD(rowcol - 1_int_8, INT(t%nmrowcol_local, KIND=int_8))) + 1\n\n repl_dist = t%dist_vec(rowcol_local) + igroup*t%dist_size\n\n END FUNCTION\n\n FUNCTION repl_rowcols(t, dist)\n CLASS(dbcsr_tas_dist_repl), INTENT(IN) :: t\n INTEGER, INTENT(IN) :: dist\n INTEGER :: nrowcols\n INTEGER(KIND=int_8), DIMENSION(:), ALLOCATABLE :: repl_rowcols, rowcols_tmp\n INTEGER :: igroup\n INTEGER :: rowcol, count\n LOGICAL :: cond\n\n igroup = dist/t%dist_size\n\n nrowcols = t%nmrowcol_local\n count = 0\n ALLOCATE (rowcols_tmp(nrowcols))\n rowcols_tmp(:) = 0\n DO rowcol = 1, nrowcols\n cond = t%dist_vec(rowcol) + igroup*t%dist_size == dist\n\n IF (cond) THEN\n count = count + 1\n rowcols_tmp(count) = rowcol\n END IF\n END DO\n\n ALLOCATE (repl_rowcols(count))\n repl_rowcols(:) = rowcols_tmp(1:count) + igroup*t%nmrowcol_local\n\n END FUNCTION\n\n FUNCTION arb_rowcols(t, dist)\n CLASS(dbcsr_tas_dist_arb), INTENT(IN) :: t\n INTEGER, INTENT(IN) :: dist\n INTEGER(KIND=int_8) :: rowcol, nrowcols\n INTEGER(KIND=int_8), DIMENSION(:), ALLOCATABLE :: arb_rowcols, rowcols_tmp\n INTEGER :: count\n\n nrowcols = t%nmrowcol\n count = 0\n ALLOCATE (rowcols_tmp(nrowcols))\n rowcols_tmp(:) = 0\n DO rowcol = 1, nrowcols\n IF (t%dist_vec(rowcol) == dist) THEN\n count = count + 1\n rowcols_tmp(count) = rowcol\n END IF\n END DO\n\n ALLOCATE (arb_rowcols(count))\n arb_rowcols(:) = rowcols_tmp(1:count)\n END FUNCTION\n\n FUNCTION new_dbcsr_tas_dist_cyclic(split_size, nprowcol, nmrowcol)\n INTEGER, INTENT(IN) :: split_size, nprowcol\n INTEGER(KIND=int_8), INTENT(IN) :: nmrowcol\n TYPE(dbcsr_tas_dist_cyclic) :: new_dbcsr_tas_dist_cyclic\n\n new_dbcsr_tas_dist_cyclic%split_size = split_size\n new_dbcsr_tas_dist_cyclic%nprowcol = nprowcol\n new_dbcsr_tas_dist_cyclic%nmrowcol = nmrowcol\n END FUNCTION\n\n FUNCTION new_dbcsr_tas_dist_arb(dist_vec, nprowcol, nmrowcol)\n INTEGER, DIMENSION(:), INTENT(IN) :: dist_vec\n INTEGER, INTENT(IN) :: nprowcol\n INTEGER(KIND=int_8), INTENT(IN) :: nmrowcol\n TYPE(dbcsr_tas_dist_arb) :: new_dbcsr_tas_dist_arb\n\n ALLOCATE (new_dbcsr_tas_dist_arb%dist_vec(nmrowcol))\n new_dbcsr_tas_dist_arb%dist_vec(:) = dist_vec(:)\n new_dbcsr_tas_dist_arb%nprowcol = nprowcol\n new_dbcsr_tas_dist_arb%nmrowcol = nmrowcol\n END FUNCTION\n\n FUNCTION dbcsr_tas_dist_arb_default(nprowcol, nmrowcol, block_sizes)\n !! Distribution that is more or less cyclic (round robin) and load balanced with different\n !! weights for each element.\n !! This is used for creating adhoc distributions whenever matrices are mapped to new grids.\n !! Only for small dimensions since distribution is created as an array\n\n INTEGER :: nprowcol\n INTEGER(KIND=int_8), INTENT(IN) :: nmrowcol\n CLASS(dbcsr_tas_rowcol_data), INTENT(IN) :: block_sizes\n TYPE(dbcsr_tas_dist_arb) :: dbcsr_tas_dist_arb_default\n INTEGER, DIMENSION(nmrowcol) :: dist_vec, bsize_vec\n INTEGER(KIND=int_8) :: ind\n\n DO ind = 1, nmrowcol\n bsize_vec(ind) = block_sizes%data(ind)\n END DO\n\n CALL dbcsr_tas_default_distvec(INT(nmrowcol), nprowcol, bsize_vec, dist_vec)\n dbcsr_tas_dist_arb_default = dbcsr_tas_dist_arb(dist_vec, nprowcol, nmrowcol)\n\n END FUNCTION\n\n SUBROUTINE dbcsr_tas_default_distvec(nblk, nproc, blk_size, dist)\n !! get a load-balanced and randomized distribution along one tensor dimension\n INTEGER, INTENT(IN) :: nblk\n !! number of blocks (along one tensor dimension)\n INTEGER, INTENT(IN) :: nproc\n !! number of processes (along one process grid dimension)\n INTEGER, DIMENSION(nblk), INTENT(IN) :: blk_size\n !! block sizes\n INTEGER, DIMENSION(nblk), INTENT(OUT) :: dist\n !! distribution\n\n CALL distribute_lpt_random(nblk, nproc, blk_size, dist)\n\n END SUBROUTINE\n\n SUBROUTINE distribute_lpt_random(nel, nbin, weights, dist)\n !! distribute `nel` elements with weights `weights` over `nbin` bins.\n !! load balanced distribution is obtained by using LPT algorithm together with randomization over equivalent bins\n !! (i.e. randomization over all bins with the smallest accumulated weight)\n INTEGER, INTENT(IN) :: nel, nbin\n INTEGER, DIMENSION(nel), INTENT(IN) :: weights\n INTEGER, DIMENSION(nel), INTENT(OUT) :: dist\n\n INTEGER :: i, i_select, ibin, iel, min_occup, &\n n_avail\n INTEGER, ALLOCATABLE, DIMENSION(:) :: bins_avail\n INTEGER, DIMENSION(4) :: iseed\n INTEGER, DIMENSION(nel) :: sort_index, weights_s\n INTEGER, DIMENSION(nbin) :: occup\n LOGICAL, DIMENSION(nbin) :: bin_mask\n REAL(dp) :: rand\n INTEGER, PARAMETER :: n_idle = 1000\n\n ! initialize seed based on input arguments such that random numbers are deterministic across all processes\n iseed(1) = nel; iseed(2) = nbin; iseed(3) = MAXVAL(weights); iseed(4) = MINVAL(weights)\n\n iseed(4) = iseed(4)*2 + 1 ! odd\n\n iseed(:) = MODULO(iseed(:), 2**12)\n\n DO i = 1, n_idle\n CALL dlarnv(1, iseed, 1, rand)\n END DO\n\n occup(:) = 0\n weights_s = weights\n CALL sort(weights_s, nel, sort_index)\n\n occup(:) = 0\n DO iel = nel, 1, -1\n min_occup = MINVAL(occup, 1)\n\n ! available bins with min. occupancy\n bin_mask = occup == min_occup\n n_avail = COUNT(bin_mask)\n ALLOCATE (bins_avail(n_avail))\n bins_avail(:) = PACK((/(i, i=1, nbin)/), MASK=bin_mask)\n\n CALL dlarnv(1, iseed, 1, rand)\n i_select = FLOOR(rand*n_avail) + 1\n ibin = bins_avail(i_select)\n DEALLOCATE (bins_avail)\n\n dist(sort_index(iel)) = ibin - 1\n occup(ibin) = occup(ibin) + weights_s(iel)\n END DO\n\n END SUBROUTINE\n\n FUNCTION new_dbcsr_tas_dist_repl(dist_vec, nprowcol, nmrowcol, n_repl, dist_size)\n INTEGER, DIMENSION(:), INTENT(IN) :: dist_vec\n INTEGER, INTENT(IN) :: nprowcol, nmrowcol, n_repl, dist_size\n TYPE(dbcsr_tas_dist_repl) :: new_dbcsr_tas_dist_repl\n\n new_dbcsr_tas_dist_repl%n_repl = n_repl\n new_dbcsr_tas_dist_repl%dist_size = dist_size\n ALLOCATE (new_dbcsr_tas_dist_repl%dist_vec(nmrowcol))\n new_dbcsr_tas_dist_repl%dist_vec(:) = MOD(dist_vec(:), dist_size)\n new_dbcsr_tas_dist_repl%nprowcol = nprowcol\n new_dbcsr_tas_dist_repl%nmrowcol_local = nmrowcol\n new_dbcsr_tas_dist_repl%nmrowcol = nmrowcol*n_repl\n END FUNCTION\n\n FUNCTION cyclic_dist(t, rowcol)\n CLASS(dbcsr_tas_dist_cyclic), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: cyclic_dist\n\n cyclic_dist = INT(MOD((rowcol - 1)/INT(t%split_size, KIND=int_8), INT(t%nprowcol, KIND=int_8)))\n\n END FUNCTION\n\n FUNCTION cyclic_rowcols(t, dist)\n CLASS(dbcsr_tas_dist_cyclic), INTENT(IN) :: t\n INTEGER, INTENT(IN) :: dist\n INTEGER(KIND=int_8), DIMENSION(:), ALLOCATABLE :: cyclic_rowcols\n INTEGER :: count, nsplit, isplit, irowcol, max_size\n INTEGER(KIND=int_8) :: rowcol\n INTEGER(KIND=int_8), DIMENSION(:), ALLOCATABLE :: rowcols_tmp\n\n nsplit = INT((t%nmrowcol - 1)/INT(t%split_size, KIND=int_8) + 1_int_8)\n max_size = nsplit*t%split_size\n ALLOCATE (rowcols_tmp(max_size))\n rowcols_tmp(:) = 0\n count = 0\n loop: DO isplit = 1, nsplit\n DO irowcol = 1, t%split_size\n rowcol = INT((dist + (isplit - 1)*t%nprowcol), KIND=int_8)*INT(t%split_size, KIND=int_8) + &\n INT(irowcol, KIND=int_8)\n IF (rowcol > t%nmrowcol) THEN\n EXIT loop\n ELSE\n count = count + 1\n rowcols_tmp(count) = rowcol\n END IF\n END DO\n END DO loop\n\n ALLOCATE (cyclic_rowcols(count))\n cyclic_rowcols(:) = rowcols_tmp(1:count)\n END FUNCTION\n\nEND MODULE\n" }, { "path": "src/tas/dbcsr_tas_io.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_io\n\n !! tall-and-skinny matrices: Input / Output\n USE dbcsr_tas_types, ONLY: &\n dbcsr_tas_type, dbcsr_tas_split_info\n USE dbcsr_tas_global, ONLY: &\n dbcsr_tas_rowcol_data, dbcsr_tas_distribution\n USE dbcsr_kinds, ONLY: &\n int_8, real_8, default_string_length\n USE dbcsr_tas_base, ONLY: &\n dbcsr_tas_get_info, dbcsr_tas_get_num_blocks, dbcsr_tas_get_num_blocks_total, dbcsr_tas_get_nze_total, &\n dbcsr_tas_get_nze, dbcsr_tas_nblkrows_total, dbcsr_tas_nblkcols_total, dbcsr_tas_info\n USE dbcsr_tas_split, ONLY: &\n dbcsr_tas_get_split_info, rowsplit, colsplit\n USE dbcsr_mpiwrap, ONLY: &\n mp_environ, mp_sum, mp_max, mp_comm_type\n USE dbcsr_dist_methods, ONLY: &\n dbcsr_distribution_row_dist, dbcsr_distribution_col_dist\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tas_io'\n\n PUBLIC :: &\n dbcsr_tas_write_dist, &\n dbcsr_tas_write_matrix_info, &\n dbcsr_tas_write_split_info, &\n prep_output_unit\n\nCONTAINS\n\n SUBROUTINE dbcsr_tas_write_matrix_info(matrix, unit_nr, full_info)\n !! Write basic infos of tall-and-skinny matrix: block dimensions, full dimensions, process grid dimensions\n\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: unit_nr\n LOGICAL, OPTIONAL, INTENT(IN) :: full_info\n !! Whether to print distribution and block size vectors\n\n INTEGER(KIND=int_8) :: nblkrows_total, nblkcols_total, nfullrows_total, &\n nfullcols_total\n INTEGER :: nprow, npcol, unit_nr_prv\n CLASS(dbcsr_tas_distribution), ALLOCATABLE :: proc_row_dist, proc_col_dist\n CLASS(dbcsr_tas_rowcol_data), ALLOCATABLE :: row_blk_size, col_blk_size\n INTEGER(KIND=int_8) :: iblk\n CHARACTER(default_string_length) :: name\n\n unit_nr_prv = prep_output_unit(unit_nr)\n IF (unit_nr_prv == 0) RETURN\n\n CALL dbcsr_tas_get_info(matrix, nblkrows_total=nblkrows_total, nblkcols_total=nblkcols_total, &\n nfullrows_total=nfullrows_total, nfullcols_total=nfullcols_total, &\n nprow=nprow, npcol=npcol, proc_row_dist=proc_row_dist, proc_col_dist=proc_col_dist, &\n row_blk_size=row_blk_size, col_blk_size=col_blk_size, name=name)\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"GLOBAL INFO OF \"//TRIM(name)\n WRITE (unit_nr_prv, \"(T4,A,1X)\", advance=\"no\") \"block dimensions:\"\n WRITE (unit_nr_prv, \"(I12,I12)\", advance=\"no\") nblkrows_total, nblkcols_total\n WRITE (unit_nr_prv, \"(/T4,A,1X)\", advance=\"no\") \"full dimensions:\"\n WRITE (unit_nr_prv, \"(I14,I14)\", advance=\"no\") nfullrows_total, nfullcols_total\n WRITE (unit_nr_prv, \"(/T4,A,1X)\", advance=\"no\") \"process grid dimensions:\"\n WRITE (unit_nr_prv, \"(I10,I10)\", advance=\"no\") nprow, npcol\n IF (PRESENT(full_info)) THEN\n IF (full_info) THEN\n WRITE (unit_nr_prv, '(/T4,A)', advance='no') \"Block sizes:\"\n WRITE (unit_nr_prv, '(/T8,A)', advance='no') 'Row:'\n DO iblk = 1, row_blk_size%nmrowcol\n WRITE (unit_nr_prv, '(I4,1X)', advance='no') row_blk_size%data(iblk)\n END DO\n WRITE (unit_nr_prv, '(/T8,A)', advance='no') 'Column:'\n DO iblk = 1, col_blk_size%nmrowcol\n WRITE (unit_nr_prv, '(I4,1X)', advance='no') col_blk_size%data(iblk)\n END DO\n WRITE (unit_nr_prv, '(/T4,A)', advance='no') \"Block distribution:\"\n WRITE (unit_nr_prv, '(/T8,A)', advance='no') 'Row:'\n DO iblk = 1, proc_row_dist%nmrowcol\n WRITE (unit_nr_prv, '(I4,1X)', advance='no') proc_row_dist%dist(iblk)\n END DO\n WRITE (unit_nr_prv, '(/T8,A)', advance='no') 'Column:'\n DO iblk = 1, proc_col_dist%nmrowcol\n WRITE (unit_nr_prv, '(I4,1X)', advance='no') proc_col_dist%dist(iblk)\n END DO\n\n END IF\n END IF\n WRITE (unit_nr_prv, *)\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_write_dist(matrix, unit_nr, full_info)\n !! Write info on tall-and-skinny matrix distribution & load balance\n\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n INTEGER, INTENT(IN) :: unit_nr\n LOGICAL, INTENT(IN), OPTIONAL :: full_info\n !! Whether to print subgroup DBCSR distribution\n\n CHARACTER(default_string_length) :: name\n INTEGER :: ngroup, igroup, nproc, iproc, &\n nblock_p_max, nelement_p_max, &\n nblock, nelement\n INTEGER(KIND=int_8), DIMENSION(2) :: tmp_i8\n INTEGER, DIMENSION(2) :: tmp\n INTEGER(KIND=int_8) :: nblock_tot, nblock_p_sum, nelement_p_sum, nelement_s_max, &\n nblock_s, nelement_s, nblock_s_max\n REAL(KIND=real_8) :: occupation\n INTEGER, DIMENSION(:), POINTER :: rowdist, coldist\n INTEGER :: split_rowcol, icol, irow, unit_nr_prv\n TYPE(mp_comm_type) :: mp_comm, mp_comm_group\n\n unit_nr_prv = prep_output_unit(unit_nr)\n IF (unit_nr_prv == 0) RETURN\n\n CALL dbcsr_tas_get_split_info(matrix%dist%info, mp_comm, ngroup, igroup, mp_comm_group, split_rowcol)\n CALL dbcsr_tas_get_info(matrix, name=name)\n CALL mp_environ(nproc, iproc, mp_comm)\n\n nblock = dbcsr_tas_get_num_blocks(matrix)\n nelement = dbcsr_tas_get_nze(matrix)\n\n nblock_p_sum = dbcsr_tas_get_num_blocks_total(matrix)\n nelement_p_sum = dbcsr_tas_get_nze_total(matrix)\n\n tmp = (/nblock, nelement/)\n CALL mp_max(tmp, mp_comm)\n nblock_p_max = tmp(1); nelement_p_max = tmp(2)\n\n nblock_s = nblock\n nelement_s = nelement\n\n CALL mp_sum(nblock_s, mp_comm_group)\n CALL mp_sum(nelement_s, mp_comm_group)\n\n tmp_i8 = (/nblock_s, nelement_s/)\n CALL mp_max(tmp_i8, mp_comm)\n nblock_s_max = tmp_i8(1); nelement_s_max = tmp_i8(2)\n\n nblock_tot = dbcsr_tas_nblkrows_total(matrix)*dbcsr_tas_nblkcols_total(matrix)\n occupation = -1.0_real_8\n IF (nblock_tot .NE. 0) occupation = 100.0_real_8*REAL(nblock_p_sum, real_8)/REAL(nblock_tot, real_8)\n\n rowdist => dbcsr_distribution_row_dist(matrix%matrix%dist)\n coldist => dbcsr_distribution_col_dist(matrix%matrix%dist)\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"DISTRIBUTION OF \"//TRIM(name)\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Number of non-zero blocks:\", nblock_p_sum\n WRITE (unit_nr_prv, \"(T15,A,T75,F6.2)\") \"Percentage of non-zero blocks:\", occupation\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Average number of blocks per group:\", (nblock_p_sum + ngroup - 1)/ngroup\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Maximum number of blocks per group:\", nblock_s_max\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Average number of matrix elements per group:\", (nelement_p_sum + ngroup - 1)/ngroup\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Maximum number of matrix elements per group:\", nelement_s_max\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Average number of blocks per CPU:\", (nblock_p_sum + nproc - 1)/nproc\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Maximum number of blocks per CPU:\", nblock_p_max\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Average number of matrix elements per CPU:\", (nelement_p_sum + nproc - 1)/nproc\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Maximum number of matrix elements per CPU:\", nelement_p_max\n IF (PRESENT(full_info)) THEN\n IF (full_info) THEN\n WRITE (unit_nr_prv, \"(T15,A)\") \"Row distribution on subgroup:\"\n WRITE (unit_nr_prv, '(T15)', advance='no')\n DO irow = 1, SIZE(rowdist)\n WRITE (unit_nr_prv, '(I3, 1X)', advance='no') rowdist(irow)\n END DO\n WRITE (unit_nr_prv, \"(/T15,A)\") \"Column distribution on subgroup:\"\n WRITE (unit_nr_prv, '(T15)', advance='no')\n DO icol = 1, SIZE(coldist)\n WRITE (unit_nr_prv, '(I3, 1X)', advance='no') coldist(icol)\n END DO\n WRITE (unit_nr_prv, *)\n END IF\n END IF\n END IF\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_write_split_info(info, unit_nr, name)\n !! Print info on how matrix is split\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: info\n INTEGER, INTENT(IN) :: unit_nr\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: name\n INTEGER :: groupsize, igroup, &\n mynode, nsplit, &\n numnodes, split_rowcol, unit_nr_prv\n INTEGER, DIMENSION(2) :: coord, dims, groupcoord, groupdims, &\n pgrid_offset\n CHARACTER(len=:), ALLOCATABLE :: name_prv\n TYPE(mp_comm_type) :: mp_comm, mp_comm_group\n\n unit_nr_prv = prep_output_unit(unit_nr)\n IF (unit_nr_prv == 0) RETURN\n\n IF (PRESENT(name)) THEN\n ALLOCATE (name_prv, SOURCE=TRIM(name))\n ELSE\n ALLOCATE (name_prv, SOURCE=\"\")\n END IF\n\n CALL dbcsr_tas_get_split_info(info, mp_comm, nsplit, igroup, mp_comm_group, split_rowcol, pgrid_offset)\n\n CALL mp_environ(numnodes, mynode, mp_comm)\n CALL mp_environ(numnodes, dims, coord, mp_comm)\n CALL mp_environ(groupsize, groupdims, groupcoord, mp_comm_group)\n\n IF (unit_nr_prv > 0) THEN\n SELECT CASE (split_rowcol)\n CASE (rowsplit)\n WRITE (unit_nr_prv, \"(T4,A,I4,1X,A,I4)\") name_prv//\"splitting rows by factor\", nsplit\n CASE (colsplit)\n WRITE (unit_nr_prv, \"(T4,A,I4,1X,A,I4)\") name_prv//\"splitting columns by factor\", nsplit\n END SELECT\n WRITE (unit_nr_prv, \"(T4,A,I4,A1,I4)\") name_prv//\"global grid sizes:\", dims(1), \"x\", dims(2)\n END IF\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T4,A,I4,A1,I4)\") &\n name_prv//\"grid sizes on subgroups:\", &\n groupdims(1), \"x\", groupdims(2)\n END IF\n\n END SUBROUTINE\n\n FUNCTION prep_output_unit(unit_nr) RESULT(unit_nr_out)\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n INTEGER :: unit_nr_out\n\n IF (PRESENT(unit_nr)) THEN\n unit_nr_out = unit_nr\n ELSE\n unit_nr_out = 0\n END IF\n\n END FUNCTION\n\nEND MODULE\n\n" }, { "path": "src/tas/dbcsr_tas_mm.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_mm\n !! Matrix multiplication for tall-and-skinny matrices. This uses the k-split (non-recursive) CARMA\n !! algorithm that is communication-optimal as long as the two smaller dimensions have\n !! the same size.\n !! Submatrices are obtained by splitting a dimension of the process grid. Multiplication of\n !! submatrices uses DBCSR Cannon algorithm. Due to unknown sparsity pattern of result matrix, parameters\n !! (group sizes and process grid dimensions) can not be derived from matrix dimensions and need to be\n !! set manually.\n\n #:include \"dbcsr_tas.fypp\"\n\n USE dbcsr_data_methods, ONLY: &\n dbcsr_scalar_zero, dbcsr_scalar, dbcsr_scalar_multiply\n USE dbcsr_data_types, ONLY: &\n dbcsr_scalar_type, dbcsr_type_real_8, dbcsr_type_real_4, dbcsr_type_complex_8, dbcsr_type_complex_4\n USE dbcsr_multiply_api, ONLY: dbcsr_multiply\n USE dbcsr_tas_base, ONLY: &\n dbcsr_tas_create, dbcsr_tas_destroy, dbcsr_tas_distribution_destroy, dbcsr_tas_distribution_new, &\n dbcsr_tas_get_data_type, dbcsr_tas_info, dbcsr_tas_nblkcols_total, &\n dbcsr_tas_nblkrows_total, dbcsr_tas_filter, dbcsr_tas_get_info, dbcsr_tas_iterator_blocks_left, &\n dbcsr_tas_get_nze_total, dbcsr_tas_reserve_blocks, dbcsr_tas_iterator_start, dbcsr_tas_iterator_next_block, &\n dbcsr_tas_iterator_stop, dbcsr_tas_copy, dbcsr_tas_get_block_p, dbcsr_tas_clear, dbcsr_tas_get_num_blocks, &\n dbcsr_tas_nfullrows_total, dbcsr_tas_nfullcols_total\n USE dbcsr_tas_types, ONLY: &\n dbcsr_tas_distribution_type, dbcsr_tas_split_info, dbcsr_tas_type, dbcsr_tas_iterator\n USE dbcsr_tas_global, ONLY: &\n dbcsr_tas_dist_cyclic, dbcsr_tas_dist_arb, dbcsr_tas_distribution, dbcsr_tas_dist_arb_default, &\n dbcsr_tas_rowcol_data, dbcsr_tas_blk_size_one, dbcsr_tas_default_distvec\n USE dbcsr_tas_reshape_ops, ONLY: &\n dbcsr_tas_merge, dbcsr_tas_replicate, dbcsr_tas_reshape\n USE dbcsr_tas_split, ONLY: &\n rowsplit, colsplit, dbcsr_tas_get_split_info, dbcsr_tas_create_split, dbcsr_tas_mp_comm, &\n dbcsr_tas_release_info, accept_pgrid_dims, dbcsr_tas_info_hold, default_nsplit_accept_ratio\n USE dbcsr_tas_util, ONLY: &\n swap, invert_transpose_flag, array_eq, dbcsr_mp_environ\n USE dbcsr_types, ONLY: &\n dbcsr_no_transpose, dbcsr_transpose, dbcsr_type, dbcsr_distribution_obj, dbcsr_mp_obj, &\n dbcsr_type_no_symmetry\n USE dbcsr_kinds, ONLY: &\n int_8, real_8, real_4, default_string_length\n USE dbcsr_mpiwrap, ONLY: &\n mp_environ, mp_sum, mp_comm_free, mp_cart_create, mp_max, mp_sync, mp_comm_type\n USE dbcsr_operations, ONLY: &\n dbcsr_scale, dbcsr_get_info, dbcsr_copy, dbcsr_clear, dbcsr_add, dbcsr_zero\n USE dbcsr_tas_io, ONLY: &\n dbcsr_tas_write_dist, dbcsr_tas_write_matrix_info, dbcsr_tas_write_split_info, prep_output_unit\n USE dbcsr_work_operations, ONLY: dbcsr_create, dbcsr_finalize\n USE dbcsr_transformations, ONLY: dbcsr_redistribute\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_new\n USE dbcsr_methods, ONLY: &\n dbcsr_mp_release, dbcsr_release, dbcsr_distribution_release, dbcsr_get_nze, dbcsr_nfullrows_total, dbcsr_nfullcols_total\n USE dbcsr_config, ONLY: dbcsr_cfg\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tas_mm'\n\n PUBLIC :: &\n dbcsr_tas_multiply, &\n dbcsr_tas_batched_mm_init, &\n dbcsr_tas_batched_mm_finalize, &\n dbcsr_tas_result_index, &\n dbcsr_tas_set_batched_state, &\n dbcsr_tas_batched_mm_complete\n\nCONTAINS\n\n RECURSIVE SUBROUTINE dbcsr_tas_multiply(transa, transb, transc, alpha, matrix_a, matrix_b, beta, matrix_c, &\n optimize_dist, split_opt, filter_eps, flop, move_data_a, &\n move_data_b, retain_sparsity, simple_split, result_index, unit_nr, log_verbose)\n !! tall-and-skinny matrix-matrix multiplication. Undocumented dummy arguments are identical to\n !! arguments of dbcsr_multiply (see dbcsr_mm, dbcsr_multiply_generic).\n\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb, transc\n TYPE(dbcsr_scalar_type), INTENT(IN) :: alpha, beta\n TYPE(dbcsr_tas_type), TARGET, &\n INTENT(INOUT) :: matrix_a, matrix_b, matrix_c\n LOGICAL, INTENT(IN), OPTIONAL :: optimize_dist\n !! Whether distribution should be optimized internally. In the current implementation this guarantees optimal parameters\n !! only for dense matrices.\n TYPE(dbcsr_tas_split_info), INTENT(OUT), &\n OPTIONAL :: split_opt\n !! optionally return split info containing optimal grid and split parameters. This can be used to choose optimal process\n !! grids for subsequent matrix multiplications with matrices of similar shape and sparsity.\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: flop\n LOGICAL, INTENT(IN), OPTIONAL :: move_data_a, move_data_b, simple_split, retain_sparsity\n !! memory optimization: move data to matrix_c such that matrix_a is empty on return\n !! memory optimization: move data to matrix_c such that matrix_b is empty on return\n !! for internal use only\n INTEGER(int_8), DIMENSION(:, :), ALLOCATABLE, INTENT(OUT), OPTIONAL :: result_index\n INTEGER, OPTIONAL, INTENT(IN) :: unit_nr\n !! unit number for logging output\n LOGICAL, OPTIONAL, INTENT(IN) :: log_verbose\n !! only for testing: verbose output\n\n TYPE(dbcsr_tas_type), POINTER :: matrix_b_rs, matrix_a_rs, matrix_c_rs, &\n matrix_c_rep, matrix_b_rep, matrix_a_rep\n\n REAL(KIND=real_8) :: filter_eps_prv\n INTEGER(KIND=int_8), DIMENSION(2) :: dims_a, dims_b, dims_c\n INTEGER, DIMENSION(2) :: pdims, pcoord, pcoord_sub, pdims_sub\n INTEGER(KIND=int_8), DIMENSION(3) :: dims\n INTEGER :: max_mm_dim, data_type, handle, handle2, handle3, handle4, &\n unit_nr_prv, nsplit, nsplit_opt, numproc, numproc_sub, iproc, &\n split_rc, split_a, split_b, split_c, &\n batched_repl, max_mm_dim_batched, nsplit_batched\n CHARACTER(LEN=1) :: tr_case, transa_prv, transb_prv, transc_prv\n TYPE(dbcsr_scalar_type) :: zero\n LOGICAL :: new_a, new_b, new_c, simple_split_prv, opt_pgrid, &\n move_a, move_b, do_batched, &\n nodata_3\n TYPE(dbcsr_tas_split_info) :: info, info_a, info_b, info_c\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_multiply'\n INTEGER(KIND=int_8) :: nze_a, nze_b, nze_c, nze_c_sum\n TYPE(dbcsr_type) :: matrix_a_mm, matrix_b_mm, matrix_c_mm\n TYPE(mp_comm_type) :: mp_comm, comm_tmp, mp_comm_group, mp_comm_mm, mp_comm_opt\n\n CALL timeset(routineN, handle)\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timeset(\"dbcsr_tas_total\", handle2)\n\n NULLIFY (matrix_b_rs, matrix_a_rs, matrix_c_rs)\n\n unit_nr_prv = prep_output_unit(unit_nr)\n\n IF (PRESENT(simple_split)) THEN\n simple_split_prv = simple_split\n ELSE\n simple_split_prv = .FALSE.\n\n info_a = dbcsr_tas_info(matrix_a); info_b = dbcsr_tas_info(matrix_b); info_c = dbcsr_tas_info(matrix_c)\n IF (info_a%strict_split(1) .OR. info_b%strict_split(1) .OR. info_c%strict_split(1)) simple_split_prv = .TRUE.\n END IF\n\n nodata_3 = .TRUE.\n IF (PRESENT(retain_sparsity)) THEN\n IF (retain_sparsity) nodata_3 = .FALSE.\n END IF\n\n ! get prestored info for multiplication strategy in case of batched mm\n batched_repl = 0\n do_batched = .FALSE.\n IF (matrix_a%do_batched > 0) THEN\n do_batched = .TRUE.\n IF (matrix_a%do_batched == 3) THEN\n DBCSR_ASSERT(batched_repl == 0)\n batched_repl = 1\n CALL dbcsr_tas_get_split_info( &\n dbcsr_tas_info(matrix_a%mm_storage%store_batched_repl), &\n nsplit=nsplit_batched)\n DBCSR_ASSERT(nsplit_batched > 0)\n max_mm_dim_batched = 3\n END IF\n END IF\n\n IF (matrix_b%do_batched > 0) THEN\n do_batched = .TRUE.\n IF (matrix_b%do_batched == 3) THEN\n DBCSR_ASSERT(batched_repl == 0)\n batched_repl = 2\n CALL dbcsr_tas_get_split_info( &\n dbcsr_tas_info(matrix_b%mm_storage%store_batched_repl), &\n nsplit=nsplit_batched)\n DBCSR_ASSERT(nsplit_batched > 0)\n max_mm_dim_batched = 1\n END IF\n END IF\n\n IF (matrix_c%do_batched > 0) THEN\n do_batched = .TRUE.\n IF (matrix_c%do_batched == 3) THEN\n DBCSR_ASSERT(batched_repl == 0)\n batched_repl = 3\n CALL dbcsr_tas_get_split_info( &\n dbcsr_tas_info(matrix_c%mm_storage%store_batched_repl), &\n nsplit=nsplit_batched)\n DBCSR_ASSERT(nsplit_batched > 0)\n max_mm_dim_batched = 2\n END IF\n END IF\n\n move_a = .FALSE.\n move_b = .FALSE.\n\n IF (PRESENT(move_data_a)) move_a = move_data_a\n IF (PRESENT(move_data_b)) move_b = move_data_b\n\n IF (.NOT. dbcsr_tas_get_data_type(matrix_a) .EQ. dbcsr_tas_get_data_type(matrix_b)) THEN\n DBCSR_ABORT(\"matrices must have same datatype\")\n END IF\n\n data_type = dbcsr_tas_get_data_type(matrix_a)\n\n transa_prv = transa; transb_prv = transb; transc_prv = transc\n\n dims_a = [dbcsr_tas_nblkrows_total(matrix_a), dbcsr_tas_nblkcols_total(matrix_a)]\n dims_b = [dbcsr_tas_nblkrows_total(matrix_b), dbcsr_tas_nblkcols_total(matrix_b)]\n dims_c = [dbcsr_tas_nblkrows_total(matrix_c), dbcsr_tas_nblkcols_total(matrix_c)]\n\n IF (unit_nr_prv .GT. 0) THEN\n WRITE (unit_nr_prv, '(A)') repeat(\"-\", 80)\n WRITE (unit_nr_prv, '(A,1X,A,1X,A,1X,A,1X,A,1X,A)') \"DBCSR TAS MATRIX MULTIPLICATION:\", &\n TRIM(matrix_a%matrix%name), 'x', TRIM(matrix_b%matrix%name), '=', TRIM(matrix_c%matrix%name)\n WRITE (unit_nr_prv, '(A)') repeat(\"-\", 80)\n END IF\n IF (do_batched) THEN\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"BATCHED PROCESSING OF MATMUL\"\n IF (batched_repl > 0) THEN\n WRITE (unit_nr_prv, \"(T4,A,T80,I1)\") \"reusing replicated matrix:\", batched_repl\n END IF\n END IF\n END IF\n\n IF (transa_prv .EQ. dbcsr_transpose) THEN\n CALL swap(dims_a)\n END IF\n\n IF (transb_prv .EQ. dbcsr_transpose) THEN\n CALL swap(dims_b)\n END IF\n\n dims_c = [dims_a(1), dims_b(2)]\n\n IF (.NOT. (dims_a(2) .EQ. dims_b(1))) THEN\n DBCSR_ABORT(\"inconsistent matrix dimensions\")\n END IF\n\n dims(:) = [dims_a(1), dims_a(2), dims_b(2)]\n\n tr_case = ''\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A, 1X, I12, 1X, I12, 1X, I12)\") \"mm dims:\", dims(1), dims(2), dims(3)\n END IF\n\n CALL dbcsr_tas_get_split_info(dbcsr_tas_info(matrix_a), mp_comm=mp_comm)\n CALL mp_environ(numproc, iproc, mp_comm)\n\n ! derive optimal matrix layout and split factor from occupancies\n nze_a = dbcsr_tas_get_nze_total(matrix_a)\n nze_b = dbcsr_tas_get_nze_total(matrix_b)\n\n IF (.NOT. simple_split_prv) THEN\n CALL dbcsr_tas_result_index(transa, transb, transc, matrix_a, matrix_b, matrix_c, filter_eps, &\n blk_ind=result_index, nze=nze_c, retain_sparsity=retain_sparsity)\n\n IF (PRESENT(result_index)) THEN\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timestop(handle2)\n CALL timestop(handle)\n RETURN\n END IF\n\n max_mm_dim = MAXLOC(dims, 1)\n nsplit = split_factor_estimate(max_mm_dim, nze_a, nze_b, nze_c, numproc)\n nsplit_opt = nsplit\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"MM PARAMETERS\"\n WRITE (unit_nr_prv, \"(T4,A,T68,I13)\") \"Est. number of matrix elements per CPU of result matrix:\", &\n (nze_c + numproc - 1)/numproc\n\n WRITE (unit_nr_prv, \"(T4,A,T68,I13)\") \"Est. optimal split factor:\", nsplit\n END IF\n\n ELSEIF (batched_repl > 0) THEN\n nsplit = nsplit_batched\n nsplit_opt = nsplit\n max_mm_dim = max_mm_dim_batched\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"MM PARAMETERS\"\n WRITE (unit_nr_prv, \"(T4,A,T68,I13)\") \"Est. optimal split factor:\", nsplit\n END IF\n\n ELSE\n nsplit = 0\n max_mm_dim = MAXLOC(dims, 1)\n END IF\n\n ! reshape matrices to the optimal layout and split factor\n split_a = rowsplit; split_b = rowsplit; split_c = rowsplit\n SELECT CASE (max_mm_dim)\n CASE (1)\n\n split_a = rowsplit; split_c = rowsplit\n CALL reshape_mm_compatible(matrix_a, matrix_c, matrix_a_rs, matrix_c_rs, &\n new_a, new_c, transa_prv, transc_prv, optimize_dist=optimize_dist, &\n nsplit=nsplit, &\n opt_nsplit=batched_repl == 0, &\n split_rc_1=split_a, split_rc_2=split_c, &\n nodata2=nodata_3, comm_new=comm_tmp, &\n move_data_1=move_a, unit_nr=unit_nr_prv)\n\n info = dbcsr_tas_info(matrix_a_rs)\n CALL dbcsr_tas_get_split_info(info, split_rowcol=split_rc, mp_comm=mp_comm)\n\n new_b = .FALSE.\n IF (matrix_b%do_batched <= 2) THEN\n ALLOCATE (matrix_b_rs)\n CALL reshape_mm_small(mp_comm, matrix_b, matrix_b_rs, transb_prv == dbcsr_transpose, transb_prv, move_data=move_b)\n new_b = .TRUE.\n END IF\n\n tr_case = transa_prv\n\n IF (unit_nr_prv > 0) THEN\n IF (tr_case == 'N') THEN\n WRITE (unit_nr_prv, \"(T2,A, 1X, A)\") \"mm case:\", \"| x + = |\"\n ELSE\n WRITE (unit_nr_prv, \"(T2,A, 1X, A)\") \"mm case:\", \"--T x + = --T\"\n END IF\n END IF\n\n CASE (2)\n\n split_a = colsplit; split_b = rowsplit\n CALL reshape_mm_compatible(matrix_a, matrix_b, matrix_a_rs, matrix_b_rs, new_a, new_b, transa_prv, transb_prv, &\n optimize_dist=optimize_dist, &\n nsplit=nsplit, &\n opt_nsplit=batched_repl == 0, &\n split_rc_1=split_a, split_rc_2=split_b, &\n comm_new=comm_tmp, &\n move_data_1=move_a, move_data_2=move_b, unit_nr=unit_nr_prv)\n\n info = dbcsr_tas_info(matrix_a_rs)\n CALL dbcsr_tas_get_split_info(info, split_rowcol=split_rc, mp_comm=mp_comm)\n\n IF (matrix_c%do_batched == 1) THEN\n matrix_c%mm_storage%batched_beta = beta\n ELSEIF (matrix_c%do_batched > 1) THEN\n matrix_c%mm_storage%batched_beta = &\n dbcsr_scalar_multiply(matrix_c%mm_storage%batched_beta, beta)\n END IF\n\n IF (matrix_c%do_batched <= 2) THEN\n ALLOCATE (matrix_c_rs)\n CALL reshape_mm_small(mp_comm, matrix_c, matrix_c_rs, transc_prv == dbcsr_transpose, transc_prv, nodata=nodata_3)\n\n ! just leave sparsity structure for retain sparsity but no values\n IF (.NOT. nodata_3) CALL dbcsr_zero(matrix_c_rs%matrix)\n\n IF (matrix_c%do_batched >= 1) matrix_c%mm_storage%store_batched => matrix_c_rs\n ELSEIF (matrix_c%do_batched == 3) THEN\n matrix_c_rs => matrix_c%mm_storage%store_batched\n END IF\n\n new_c = matrix_c%do_batched == 0\n tr_case = transa_prv\n\n IF (unit_nr_prv > 0) THEN\n IF (tr_case == 'N') THEN\n WRITE (unit_nr_prv, \"(T2,A, 1X, A)\") \"mm case:\", \"-- x --T = +\"\n ELSE\n WRITE (unit_nr_prv, \"(T2,A, 1X, A)\") \"mm case:\", \"|T x | = +\"\n END IF\n END IF\n\n CASE (3)\n\n split_b = colsplit; split_c = colsplit\n CALL reshape_mm_compatible(matrix_b, matrix_c, matrix_b_rs, matrix_c_rs, new_b, new_c, transb_prv, &\n transc_prv, optimize_dist=optimize_dist, &\n nsplit=nsplit, &\n opt_nsplit=batched_repl == 0, &\n split_rc_1=split_b, split_rc_2=split_c, &\n nodata2=nodata_3, comm_new=comm_tmp, &\n move_data_1=move_b, unit_nr=unit_nr_prv)\n info = dbcsr_tas_info(matrix_b_rs)\n CALL dbcsr_tas_get_split_info(info, split_rowcol=split_rc, mp_comm=mp_comm)\n\n new_a = .FALSE.\n IF (matrix_a%do_batched <= 2) THEN\n ALLOCATE (matrix_a_rs)\n CALL reshape_mm_small(mp_comm, matrix_a, matrix_a_rs, transa_prv == dbcsr_transpose, transa_prv, move_data=move_a)\n new_a = .TRUE.\n END IF\n\n tr_case = transb_prv\n\n IF (unit_nr_prv > 0) THEN\n IF (tr_case == 'N') THEN\n WRITE (unit_nr_prv, \"(T2,A, 1X, A)\") \"mm case:\", \"+ x -- = --\"\n ELSE\n WRITE (unit_nr_prv, \"(T2,A, 1X, A)\") \"mm case:\", \"+ x |T = |T\"\n END IF\n END IF\n\n END SELECT\n\n CALL dbcsr_tas_get_split_info(info, nsplit=nsplit, mp_comm=mp_comm, mp_comm_group=mp_comm_group)\n\n CALL mp_environ(numproc, pdims, pcoord, mp_comm)\n CALL mp_environ(numproc_sub, pdims_sub, pcoord_sub, mp_comm_group)\n\n opt_pgrid = .NOT. accept_pgrid_dims(pdims_sub, relative=.TRUE.)\n\n IF (PRESENT(filter_eps)) THEN\n filter_eps_prv = filter_eps\n ELSE\n filter_eps_prv = 0.0_real_8\n END IF\n\n IF (unit_nr_prv /= 0) THEN\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2, A)\") \"SPLIT / PARALLELIZATION INFO\"\n END IF\n CALL dbcsr_tas_write_split_info(info, unit_nr_prv)\n IF (ASSOCIATED(matrix_a_rs)) CALL dbcsr_tas_write_matrix_info(matrix_a_rs, unit_nr_prv, full_info=log_verbose)\n IF (ASSOCIATED(matrix_b_rs)) CALL dbcsr_tas_write_matrix_info(matrix_b_rs, unit_nr_prv, full_info=log_verbose)\n IF (ASSOCIATED(matrix_c_rs)) CALL dbcsr_tas_write_matrix_info(matrix_c_rs, unit_nr_prv, full_info=log_verbose)\n IF (unit_nr_prv > 0) THEN\n IF (opt_pgrid) THEN\n WRITE (unit_nr_prv, \"(T4, A, 1X, A)\") \"Change process grid:\", \"Yes\"\n ELSE\n WRITE (unit_nr_prv, \"(T4, A, 1X, A)\") \"Change process grid:\", \"No\"\n END IF\n END IF\n END IF\n\n zero = dbcsr_scalar_zero(data_type)\n\n pdims = 0\n CALL mp_cart_create(mp_comm_group, 2, pdims, pcoord, mp_comm_mm)\n\n ! Convert DBCSR submatrices to optimized process grids and multiply\n SELECT CASE (max_mm_dim)\n CASE (1)\n IF (matrix_b%do_batched <= 2) THEN\n ALLOCATE (matrix_b_rep)\n CALL dbcsr_tas_replicate(matrix_b_rs%matrix, dbcsr_tas_info(matrix_a_rs), matrix_b_rep, move_data=.TRUE.)\n IF (matrix_b%do_batched == 1 .or. matrix_b%do_batched == 2) THEN\n matrix_b%mm_storage%store_batched_repl => matrix_b_rep\n CALL dbcsr_tas_set_batched_state(matrix_b, state=3)\n END IF\n ELSEIF (matrix_b%do_batched == 3) THEN\n matrix_b_rep => matrix_b%mm_storage%store_batched_repl\n END IF\n\n IF (new_b) THEN\n CALL dbcsr_tas_destroy(matrix_b_rs)\n DEALLOCATE (matrix_b_rs)\n END IF\n IF (unit_nr_prv /= 0) THEN\n CALL dbcsr_tas_write_dist(matrix_a_rs, unit_nr_prv)\n CALL dbcsr_tas_write_dist(matrix_b_rep, unit_nr_prv, full_info=log_verbose)\n END IF\n\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_a_rs%matrix, matrix_a_mm, optimize_pgrid=opt_pgrid, move_data=move_a)\n\n ! keep communicators alive even after releasing TAS matrices (communicator management does not work between DBCSR and TAS)\n info_a = dbcsr_tas_info(matrix_a_rs)\n CALL dbcsr_tas_info_hold(info_a)\n\n IF (new_a) THEN\n CALL dbcsr_tas_destroy(matrix_a_rs)\n DEALLOCATE (matrix_a_rs)\n END IF\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_b_rep%matrix, matrix_b_mm, optimize_pgrid=opt_pgrid, &\n move_data=matrix_b%do_batched == 0)\n\n info_b = dbcsr_tas_info(matrix_b_rep)\n CALL dbcsr_tas_info_hold(info_b)\n\n IF (matrix_b%do_batched == 0) THEN\n CALL dbcsr_tas_destroy(matrix_b_rep)\n DEALLOCATE (matrix_b_rep)\n END IF\n\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_c_rs%matrix, matrix_c_mm, nodata=nodata_3, optimize_pgrid=opt_pgrid)\n\n info_c = dbcsr_tas_info(matrix_c_rs)\n CALL dbcsr_tas_info_hold(info_c)\n\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timeset(\"dbcsr_tas_dbcsr\", handle4)\n SELECT CASE (tr_case)\n CASE (dbcsr_no_transpose)\n CALL timeset(\"dbcsr_tas_mm_1N\", handle3)\n\n CALL dbcsr_multiply(transa=dbcsr_no_transpose, transb=dbcsr_no_transpose, alpha=alpha, &\n matrix_a=matrix_a_mm, matrix_b=matrix_b_mm, beta=beta, matrix_c=matrix_c_mm, &\n filter_eps=filter_eps_prv, retain_sparsity=retain_sparsity, flop=flop)\n CALL timestop(handle3)\n CASE (dbcsr_transpose)\n CALL timeset(\"dbcsr_tas_mm_1T\", handle3)\n CALL dbcsr_multiply(transa=dbcsr_transpose, transb=dbcsr_no_transpose, alpha=alpha, &\n matrix_a=matrix_b_mm, matrix_b=matrix_a_mm, beta=beta, matrix_c=matrix_c_mm, &\n filter_eps=filter_eps_prv, retain_sparsity=retain_sparsity, flop=flop)\n\n CALL timestop(handle3)\n END SELECT\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timestop(handle4)\n\n CALL dbcsr_release(matrix_a_mm)\n CALL dbcsr_release(matrix_b_mm)\n\n nze_c = dbcsr_get_nze(matrix_c_mm)\n\n IF (.NOT. new_c) THEN\n CALL redistribute_and_sum(matrix_c_mm, matrix_c_rs%matrix, local_copy=.NOT. opt_pgrid, alpha=beta)\n ELSE\n CALL redistribute_and_sum(matrix_c_mm, matrix_c_rs%matrix, local_copy=.NOT. opt_pgrid)\n END IF\n\n CALL dbcsr_release(matrix_c_mm)\n\n IF (PRESENT(filter_eps)) CALL dbcsr_tas_filter(matrix_c_rs, filter_eps)\n\n IF (unit_nr_prv /= 0) THEN\n CALL dbcsr_tas_write_dist(matrix_c_rs, unit_nr_prv)\n END IF\n\n CASE (2)\n IF (matrix_c%do_batched <= 1) THEN\n ALLOCATE (matrix_c_rep)\n CALL dbcsr_tas_replicate(matrix_c_rs%matrix, dbcsr_tas_info(matrix_a_rs), matrix_c_rep, nodata=nodata_3)\n IF (matrix_c%do_batched == 1) THEN\n matrix_c%mm_storage%store_batched_repl => matrix_c_rep\n CALL dbcsr_tas_set_batched_state(matrix_c, state=3)\n END IF\n ELSEIF (matrix_c%do_batched == 2) THEN\n ALLOCATE (matrix_c_rep)\n CALL dbcsr_tas_replicate(matrix_c_rs%matrix, dbcsr_tas_info(matrix_a_rs), matrix_c_rep, nodata=nodata_3)\n ! just leave sparsity structure for retain sparsity but no values\n IF (.not. nodata_3) CALL dbcsr_zero(matrix_c_rep%matrix)\n matrix_c%mm_storage%store_batched_repl => matrix_c_rep\n CALL dbcsr_tas_set_batched_state(matrix_c, state=3)\n ELSEIF (matrix_c%do_batched == 3) THEN\n matrix_c_rep => matrix_c%mm_storage%store_batched_repl\n END IF\n\n IF (unit_nr_prv /= 0) THEN\n CALL dbcsr_tas_write_dist(matrix_a_rs, unit_nr_prv)\n CALL dbcsr_tas_write_dist(matrix_b_rs, unit_nr_prv)\n END IF\n\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_a_rs%matrix, matrix_a_mm, optimize_pgrid=opt_pgrid, move_data=move_a)\n\n ! keep communicators alive even after releasing TAS matrices (communicator management does not work between DBCSR and TAS)\n info_a = dbcsr_tas_info(matrix_a_rs)\n CALL dbcsr_tas_info_hold(info_a)\n\n IF (new_a) THEN\n CALL dbcsr_tas_destroy(matrix_a_rs)\n DEALLOCATE (matrix_a_rs)\n END IF\n\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_b_rs%matrix, matrix_b_mm, optimize_pgrid=opt_pgrid, move_data=move_b)\n\n info_b = dbcsr_tas_info(matrix_b_rs)\n CALL dbcsr_tas_info_hold(info_b)\n\n IF (new_b) THEN\n CALL dbcsr_tas_destroy(matrix_b_rs)\n DEALLOCATE (matrix_b_rs)\n END IF\n\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_c_rep%matrix, matrix_c_mm, nodata=nodata_3, optimize_pgrid=opt_pgrid)\n\n info_c = dbcsr_tas_info(matrix_c_rep)\n CALL dbcsr_tas_info_hold(info_c)\n\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timeset(\"dbcsr_tas_dbcsr\", handle4)\n CALL timeset(\"dbcsr_tas_mm_2\", handle3)\n CALL dbcsr_multiply(transa=transa_prv, transb=transb_prv, alpha=alpha, matrix_a=matrix_a_mm, &\n matrix_b=matrix_b_mm, beta=beta, matrix_c=matrix_c_mm, &\n filter_eps=filter_eps_prv/REAL(nsplit, KIND=real_8), retain_sparsity=retain_sparsity, flop=flop)\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timestop(handle3)\n CALL timestop(handle4)\n\n CALL dbcsr_release(matrix_a_mm)\n CALL dbcsr_release(matrix_b_mm)\n\n nze_c = dbcsr_get_nze(matrix_c_mm)\n\n CALL redistribute_and_sum(matrix_c_mm, matrix_c_rep%matrix, local_copy=.NOT. opt_pgrid, alpha=beta)\n nze_c_sum = dbcsr_tas_get_nze_total(matrix_c_rep)\n\n CALL dbcsr_release(matrix_c_mm)\n\n IF (unit_nr_prv /= 0) THEN\n CALL dbcsr_tas_write_dist(matrix_c_rep, unit_nr_prv, full_info=log_verbose)\n END IF\n\n IF (matrix_c%do_batched == 0) THEN\n CALL dbcsr_tas_merge(matrix_c_rs%matrix, matrix_c_rep, move_data=.TRUE.)\n ELSE\n matrix_c%mm_storage%batched_out = .TRUE. ! postpone merging submatrices to dbcsr_tas_batched_mm_finalize\n END IF\n\n IF (matrix_c%do_batched == 0) THEN\n CALL dbcsr_tas_destroy(matrix_c_rep)\n DEALLOCATE (matrix_c_rep)\n END IF\n\n IF (PRESENT(filter_eps)) CALL dbcsr_tas_filter(matrix_c_rs, filter_eps)\n\n ! set upper limit on memory consumption for replicated matrix and complete batched mm\n ! if limit is exceeded\n IF (nze_c_sum > default_nsplit_accept_ratio*MAX(nze_a, nze_b)) THEN\n CALL dbcsr_tas_batched_mm_complete(matrix_c)\n END IF\n\n CASE (3)\n IF (matrix_a%do_batched <= 2) THEN\n ALLOCATE (matrix_a_rep)\n CALL dbcsr_tas_replicate(matrix_a_rs%matrix, dbcsr_tas_info(matrix_b_rs), matrix_a_rep, move_data=.TRUE.)\n IF (matrix_a%do_batched == 1 .or. matrix_a%do_batched == 2) THEN\n matrix_a%mm_storage%store_batched_repl => matrix_a_rep\n CALL dbcsr_tas_set_batched_state(matrix_a, state=3)\n END IF\n ELSEIF (matrix_a%do_batched == 3) THEN\n matrix_a_rep => matrix_a%mm_storage%store_batched_repl\n END IF\n\n IF (new_a) THEN\n CALL dbcsr_tas_destroy(matrix_a_rs)\n DEALLOCATE (matrix_a_rs)\n END IF\n IF (unit_nr_prv /= 0) THEN\n CALL dbcsr_tas_write_dist(matrix_a_rep, unit_nr_prv, full_info=log_verbose)\n CALL dbcsr_tas_write_dist(matrix_b_rs, unit_nr_prv)\n END IF\n\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_a_rep%matrix, matrix_a_mm, optimize_pgrid=opt_pgrid, &\n move_data=matrix_a%do_batched == 0)\n\n ! keep communicators alive even after releasing TAS matrices (communicator management does not work between DBCSR and TAS)\n info_a = dbcsr_tas_info(matrix_a_rep)\n CALL dbcsr_tas_info_hold(info_a)\n\n IF (matrix_a%do_batched == 0) THEN\n CALL dbcsr_tas_destroy(matrix_a_rep)\n DEALLOCATE (matrix_a_rep)\n END IF\n\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_b_rs%matrix, matrix_b_mm, optimize_pgrid=opt_pgrid, move_data=move_b)\n\n info_b = dbcsr_tas_info(matrix_b_rs)\n CALL dbcsr_tas_info_hold(info_b)\n\n IF (new_b) THEN\n CALL dbcsr_tas_destroy(matrix_b_rs)\n DEALLOCATE (matrix_b_rs)\n END IF\n CALL convert_to_new_pgrid(mp_comm_mm, matrix_c_rs%matrix, matrix_c_mm, nodata=nodata_3, optimize_pgrid=opt_pgrid)\n\n info_c = dbcsr_tas_info(matrix_c_rs)\n CALL dbcsr_tas_info_hold(info_c)\n\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timeset(\"dbcsr_tas_dbcsr\", handle4)\n SELECT CASE (tr_case)\n CASE (dbcsr_no_transpose)\n CALL timeset(\"dbcsr_tas_mm_3N\", handle3)\n CALL dbcsr_multiply(transa=dbcsr_no_transpose, transb=dbcsr_no_transpose, alpha=alpha, &\n matrix_a=matrix_a_mm, matrix_b=matrix_b_mm, beta=beta, matrix_c=matrix_c_mm, &\n filter_eps=filter_eps_prv, retain_sparsity=retain_sparsity, flop=flop)\n CALL timestop(handle3)\n CASE (dbcsr_transpose)\n CALL timeset(\"dbcsr_tas_mm_3T\", handle3)\n CALL dbcsr_multiply(transa=dbcsr_no_transpose, transb=dbcsr_transpose, alpha=alpha, &\n matrix_a=matrix_b_mm, matrix_b=matrix_a_mm, beta=beta, matrix_c=matrix_c_mm, &\n filter_eps=filter_eps_prv, retain_sparsity=retain_sparsity, flop=flop)\n CALL timestop(handle3)\n END SELECT\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timestop(handle4)\n\n CALL dbcsr_release(matrix_a_mm)\n CALL dbcsr_release(matrix_b_mm)\n\n nze_c = dbcsr_get_nze(matrix_c_mm)\n\n IF (.NOT. new_c) THEN\n CALL redistribute_and_sum(matrix_c_mm, matrix_c_rs%matrix, local_copy=.NOT. opt_pgrid, alpha=beta)\n ELSE\n CALL redistribute_and_sum(matrix_c_mm, matrix_c_rs%matrix, local_copy=.NOT. opt_pgrid)\n END IF\n\n CALL dbcsr_release(matrix_c_mm)\n\n IF (PRESENT(filter_eps)) CALL dbcsr_tas_filter(matrix_c_rs, filter_eps)\n\n IF (unit_nr_prv /= 0) THEN\n CALL dbcsr_tas_write_dist(matrix_c_rs, unit_nr_prv)\n END IF\n END SELECT\n\n CALL mp_comm_free(mp_comm_mm)\n\n CALL dbcsr_tas_get_split_info(info_c, mp_comm=mp_comm)\n\n IF (PRESENT(split_opt)) THEN\n SELECT CASE (max_mm_dim)\n CASE (1, 3)\n CALL mp_sum(nze_c, mp_comm)\n CASE (2)\n CALL dbcsr_tas_get_split_info(info_c, mp_comm=mp_comm, mp_comm_group=mp_comm_group)\n CALL mp_sum(nze_c, mp_comm_group)\n CALL mp_max(nze_c, mp_comm)\n\n END SELECT\n nsplit_opt = split_factor_estimate(max_mm_dim, nze_a, nze_b, nze_c, numproc)\n ! ideally we should rederive the split factor from the actual sparsity of C, but\n ! due to parameter beta, we can not get the sparsity of AxB from DBCSR if not new_c\n mp_comm_opt = dbcsr_tas_mp_comm(mp_comm, split_rc, nsplit_opt)\n CALL dbcsr_tas_create_split(split_opt, mp_comm_opt, split_rc, nsplit_opt, own_comm=.TRUE.)\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"MM PARAMETERS\"\n WRITE (unit_nr_prv, \"(T4,A,T68,I13)\") \"Number of matrix elements per CPU of result matrix:\", &\n (nze_c + numproc - 1)/numproc\n\n WRITE (unit_nr_prv, \"(T4,A,T68,I13)\") \"Optimal split factor:\", nsplit_opt\n END IF\n\n END IF\n\n IF (new_c) THEN\n CALL dbcsr_scale(matrix_c%matrix, beta)\n CALL dbcsr_tas_reshape(matrix_c_rs, matrix_c, summation=.TRUE., transposed=transc_prv /= transc, &\n move_data=.TRUE.)\n CALL dbcsr_tas_destroy(matrix_c_rs)\n DEALLOCATE (matrix_c_rs)\n IF (PRESENT(filter_eps)) CALL dbcsr_tas_filter(matrix_c, filter_eps)\n ELSEIF (matrix_c%do_batched > 0) THEN\n IF (matrix_c%mm_storage%batched_out) THEN\n matrix_c%mm_storage%batched_trans = transc_prv /= transc\n END IF\n END IF\n\n IF (PRESENT(move_data_a)) THEN\n IF (move_data_a) CALL dbcsr_tas_clear(matrix_a)\n END IF\n IF (PRESENT(move_data_b)) THEN\n IF (move_data_b) CALL dbcsr_tas_clear(matrix_b)\n END IF\n\n IF (PRESENT(flop)) THEN\n CALL mp_sum(flop, mp_comm)\n flop = (flop + numproc - 1)/numproc\n END IF\n\n IF (PRESENT(optimize_dist)) THEN\n IF (optimize_dist) CALL mp_comm_free(comm_tmp)\n END IF\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(A)') repeat(\"-\", 80)\n WRITE (unit_nr_prv, '(A,1X,A,1X,A,1X,A,1X,A,1X,A)') \"TAS MATRIX MULTIPLICATION DONE\"\n WRITE (unit_nr_prv, '(A)') repeat(\"-\", 80)\n END IF\n\n CALL dbcsr_tas_release_info(info_a)\n CALL dbcsr_tas_release_info(info_b)\n CALL dbcsr_tas_release_info(info_c)\n\n CALL mp_sync(matrix_a%dist%info%mp_comm)\n CALL timestop(handle2)\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE redistribute_and_sum(matrix_in, matrix_out, local_copy, alpha)\n TYPE(dbcsr_type), INTENT(IN) :: matrix_in\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_out\n LOGICAL, INTENT(IN), OPTIONAL :: local_copy\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: alpha\n TYPE(dbcsr_type) :: matrix_tmp\n LOGICAL :: local_copy_prv\n\n IF (PRESENT(local_copy)) THEN\n local_copy_prv = local_copy\n ELSE\n local_copy_prv = .FALSE.\n END IF\n\n IF (.NOT. local_copy_prv) THEN\n CALL dbcsr_create(matrix_tmp, matrix_out)\n CALL dbcsr_redistribute(matrix_in, matrix_tmp)\n CALL dbcsr_add(matrix_out, matrix_tmp, alpha_scalar=alpha)\n CALL dbcsr_release(matrix_tmp)\n ELSE\n CALL dbcsr_add(matrix_out, matrix_in, alpha_scalar=alpha)\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE reshape_mm_small(mp_comm, matrix_in, matrix_out, transposed, trans, nodata, move_data)\n !! Make sure that smallest matrix involved in a multiplication is not split and bring it to\n !! the same process grid as the other 2 matrices.\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n !! communicator that defines Cartesian topology\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_in\n TYPE(dbcsr_tas_type), INTENT(OUT) :: matrix_out\n LOGICAL, INTENT(IN) :: transposed\n !! Whether matrix_out should be transposed\n CHARACTER(LEN=1), INTENT(INOUT) :: trans\n !! update transpose flag for DBCSR mm according to 'transposed' argument\n LOGICAL, INTENT(IN), OPTIONAL :: nodata, move_data\n !! Data of matrix_in should not be copied to matrix_out\n !! memory optimization: move data such that matrix_in is empty on return.\n\n INTEGER :: numnodes\n INTEGER(KIND=int_8), DIMENSION(2) :: dims\n INTEGER, DIMENSION(2) :: pdims, pcoord\n TYPE(dbcsr_tas_dist_arb) :: new_row_dist, new_col_dist\n TYPE(dbcsr_tas_distribution_type) :: dist\n LOGICAL :: nodata_prv\n CHARACTER(LEN=*), PARAMETER :: routineN = 'reshape_mm_small'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(nodata)) THEN\n nodata_prv = nodata\n ELSE\n nodata_prv = .FALSE.\n END IF\n\n IF (transposed) THEN\n SELECT CASE (trans)\n CASE (dbcsr_transpose)\n trans = dbcsr_no_transpose\n CASE (dbcsr_no_transpose)\n trans = dbcsr_transpose\n END SELECT\n END IF\n\n CALL mp_environ(numnodes, pdims, pcoord, mp_comm)\n\n dims = [dbcsr_tas_nblkrows_total(matrix_in), dbcsr_tas_nblkcols_total(matrix_in)]\n\n IF (transposed) CALL swap(dims)\n\n IF (.NOT. transposed) THEN\n new_row_dist = dbcsr_tas_dist_arb_default(pdims(1), dims(1), matrix_in%row_blk_size)\n new_col_dist = dbcsr_tas_dist_arb_default(pdims(2), dims(2), matrix_in%col_blk_size)\n CALL dbcsr_tas_distribution_new(dist, mp_comm, new_row_dist, new_col_dist, nosplit=.TRUE.)\n CALL dbcsr_tas_create(matrix_out, matrix_in%matrix%name, dist, dbcsr_tas_get_data_type(matrix_in), &\n matrix_in%row_blk_size, matrix_in%col_blk_size, own_dist=.TRUE.)\n ELSE\n new_row_dist = dbcsr_tas_dist_arb_default(pdims(1), dims(1), matrix_in%col_blk_size)\n new_col_dist = dbcsr_tas_dist_arb_default(pdims(2), dims(2), matrix_in%row_blk_size)\n CALL dbcsr_tas_distribution_new(dist, mp_comm, new_row_dist, new_col_dist, nosplit=.TRUE.)\n CALL dbcsr_tas_create(matrix_out, matrix_in%matrix%name, dist, dbcsr_tas_get_data_type(matrix_in), &\n matrix_in%col_blk_size, matrix_in%row_blk_size, own_dist=.TRUE.)\n\n END IF\n IF (.NOT. nodata_prv) CALL dbcsr_tas_reshape(matrix_in, matrix_out, transposed=transposed, move_data=move_data)\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE reshape_mm_compatible(matrix1_in, matrix2_in, matrix1_out, matrix2_out, new1, new2, trans1, trans2, &\n optimize_dist, nsplit, opt_nsplit, split_rc_1, split_rc_2, nodata1, nodata2, &\n move_data_1, move_data_2, comm_new, unit_nr)\n !! Reshape either matrix1 or matrix2 to make sure that their process grids are compatible with\n !! the same split factor.\n\n TYPE(dbcsr_tas_type), TARGET, &\n INTENT(INOUT) :: matrix1_in, matrix2_in\n TYPE(dbcsr_tas_type), POINTER, INTENT(OUT) :: matrix1_out, matrix2_out\n LOGICAL, INTENT(OUT) :: new1, new2\n !! Whether matrix1_out is a new matrix or simply pointing to matrix1_in\n !! Whether matrix2_out is a new matrix or simply pointing to matrix2_in\n CHARACTER(LEN=1), INTENT(INOUT) :: trans1, trans2\n !! transpose flag of matrix1_in for multiplication\n !! transpose flag of matrix2_in for multiplication\n LOGICAL, INTENT(IN), OPTIONAL :: optimize_dist\n !! experimental: optimize matrix splitting and distribution\n INTEGER, INTENT(IN), OPTIONAL :: nsplit\n !! Optimal split factor (set to 0 if split factor should not be changed)\n LOGICAL, INTENT(IN), OPTIONAL :: opt_nsplit\n INTEGER, INTENT(INOUT) :: split_rc_1, split_rc_2\n !! Whether to split rows or columns for matrix 1\n !! Whether to split rows or columns for matrix 2\n TYPE(mp_comm_type), INTENT(OUT), OPTIONAL :: comm_new\n !! returns the new communicator only if optimize_dist\n LOGICAL, OPTIONAL, INTENT(IN) :: nodata1, nodata2\n !! Don't copy matrix data from matrix1_in to matrix1_out\n !! Don't copy matrix data from matrix2_in to matrix2_out\n LOGICAL, OPTIONAL, INTENT(INOUT) :: move_data_1, move_data_2\n !! memory optimization: move data such that matrix1_in may be empty on return.\n !! memory optimization: move data such that matrix2_in may be empty on return.\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n !! output unit\n\n INTEGER(KIND=int_8), DIMENSION(2) :: dims1, dims2, dims_ref\n INTEGER(KIND=int_8) :: d1, d2\n CHARACTER(LEN=*), PARAMETER :: routineN = 'reshape_mm_compatible'\n INTEGER :: handle, numnodes, unit_nr_prv, &\n nsplit_prv, ref, split_rc_ref\n INTEGER, DIMENSION(2) :: pcoord, pdims\n LOGICAL :: optimize_dist_prv, trans1_newdist, trans2_newdist\n TYPE(dbcsr_tas_dist_cyclic) :: row_dist_1, col_dist_1, row_dist_2, col_dist_2\n TYPE(dbcsr_tas_distribution_type) :: dist_1, dist_2\n TYPE(dbcsr_tas_split_info) :: split_info\n INTEGER(KIND=int_8) :: nze1, nze2\n LOGICAL :: nodata1_prv, nodata2_prv\n TYPE(mp_comm_type) :: mp_comm\n\n CALL timeset(routineN, handle)\n new1 = .FALSE.; new2 = .FALSE.\n\n IF (PRESENT(nodata1)) THEN\n nodata1_prv = nodata1\n ELSE\n nodata1_prv = .FALSE.\n END IF\n\n IF (PRESENT(nodata2)) THEN\n nodata2_prv = nodata2\n ELSE\n nodata2_prv = .FALSE.\n END IF\n\n unit_nr_prv = prep_output_unit(unit_nr)\n\n NULLIFY (matrix1_out, matrix2_out)\n\n IF (PRESENT(optimize_dist)) THEN\n optimize_dist_prv = optimize_dist\n ELSE\n optimize_dist_prv = .FALSE.\n END IF\n\n dims1 = [dbcsr_tas_nblkrows_total(matrix1_in), dbcsr_tas_nblkcols_total(matrix1_in)]\n dims2 = [dbcsr_tas_nblkrows_total(matrix2_in), dbcsr_tas_nblkcols_total(matrix2_in)]\n nze1 = dbcsr_tas_get_nze_total(matrix1_in)\n nze2 = dbcsr_tas_get_nze_total(matrix2_in)\n\n IF (trans1 == dbcsr_transpose) split_rc_1 = MOD(split_rc_1, 2) + 1\n\n IF (trans2 == dbcsr_transpose) split_rc_2 = MOD(split_rc_2, 2) + 1\n\n IF (nze1 >= nze2) THEN\n ref = 1\n split_rc_ref = split_rc_1\n dims_ref = dims1\n ELSE\n ref = 2\n split_rc_ref = split_rc_2\n dims_ref = dims2\n END IF\n\n IF (PRESENT(nsplit)) THEN\n nsplit_prv = nsplit\n ELSE\n nsplit_prv = 0\n END IF\n\n IF (optimize_dist_prv) THEN\n DBCSR_ASSERT(PRESENT(comm_new))\n END IF\n\n IF ((.NOT. optimize_dist_prv) .AND. dist_compatible(matrix1_in, matrix2_in, split_rc_1, split_rc_2)) THEN\n CALL change_split(matrix1_in, matrix1_out, nsplit_prv, split_rc_1, new1, &\n move_data=move_data_1, nodata=nodata1, opt_nsplit=opt_nsplit)\n CALL dbcsr_tas_get_split_info(dbcsr_tas_info(matrix1_out), nsplit=nsplit_prv)\n CALL change_split(matrix2_in, matrix2_out, nsplit_prv, split_rc_2, new2, &\n move_data=move_data_2, nodata=nodata2, opt_nsplit=.FALSE.)\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A,1X,A,1X,A,1X,A)\") \"No redistribution of\", TRIM(matrix1_in%matrix%name), &\n \"and\", TRIM(matrix2_in%matrix%name)\n IF (new1) THEN\n WRITE (unit_nr_prv, \"(T2,A,1X,A,1X,A)\") \"Change split factor of\", TRIM(matrix1_in%matrix%name), \": Yes\"\n ELSE\n WRITE (unit_nr_prv, \"(T2,A,1X,A,1X,A)\") \"Change split factor of\", TRIM(matrix1_in%matrix%name), \": No\"\n END IF\n IF (new2) THEN\n WRITE (unit_nr_prv, \"(T2,A,1X,A,1X,A)\") \"Change split factor of\", TRIM(matrix2_in%matrix%name), \": Yes\"\n ELSE\n WRITE (unit_nr_prv, \"(T2,A,1X,A,1X,A)\") \"Change split factor of\", TRIM(matrix2_in%matrix%name), \": No\"\n END IF\n END IF\n ELSE\n\n IF (optimize_dist_prv) THEN\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A,1X,A,1X,A,1X,A)\") \"Optimizing distribution of\", TRIM(matrix1_in%matrix%name), &\n \"and\", TRIM(matrix2_in%matrix%name)\n END IF\n\n trans1_newdist = (split_rc_1 == colsplit)\n trans2_newdist = (split_rc_2 == colsplit)\n\n IF (trans1_newdist) THEN\n CALL swap(dims1)\n CALL invert_transpose_flag(trans1)\n END IF\n\n IF (trans2_newdist) THEN\n CALL swap(dims2)\n CALL invert_transpose_flag(trans2)\n END IF\n\n IF (nsplit_prv == 0) THEN\n SELECT CASE (split_rc_ref)\n CASE (rowsplit)\n d1 = dims_ref(1)\n d2 = dims_ref(2)\n CASE (colsplit)\n d1 = dims_ref(2)\n d2 = dims_ref(1)\n END SELECT\n nsplit_prv = INT((d1 - 1)/d2 + 1)\n END IF\n\n DBCSR_ASSERT(nsplit_prv > 0)\n\n CALL dbcsr_tas_get_split_info(dbcsr_tas_info(matrix1_in), mp_comm=mp_comm)\n comm_new = dbcsr_tas_mp_comm(mp_comm, rowsplit, nsplit_prv)\n CALL dbcsr_tas_create_split(split_info, comm_new, rowsplit, nsplit_prv)\n\n CALL mp_environ(numnodes, pdims, pcoord, comm_new)\n\n ! use a very simple cyclic distribution that may not be load balanced if block\n ! sizes are not equal. However we can not use arbitrary distributions\n ! for large dimensions since this would require storing distribution vectors as arrays\n ! which can not be stored for large dimensions.\n row_dist_1 = dbcsr_tas_dist_cyclic(1, pdims(1), dims1(1))\n col_dist_1 = dbcsr_tas_dist_cyclic(1, pdims(2), dims1(2))\n\n row_dist_2 = dbcsr_tas_dist_cyclic(1, pdims(1), dims2(1))\n col_dist_2 = dbcsr_tas_dist_cyclic(1, pdims(2), dims2(2))\n\n CALL dbcsr_tas_distribution_new(dist_1, comm_new, row_dist_1, col_dist_1, split_info=split_info)\n CALL dbcsr_tas_distribution_new(dist_2, comm_new, row_dist_2, col_dist_2, split_info=split_info)\n CALL dbcsr_tas_release_info(split_info)\n\n ALLOCATE (matrix1_out)\n IF (.NOT. trans1_newdist) THEN\n CALL dbcsr_tas_create(matrix1_out, matrix1_in%matrix%name, dist_1, dbcsr_tas_get_data_type(matrix1_in), &\n matrix1_in%row_blk_size, matrix1_in%col_blk_size, own_dist=.TRUE.)\n\n ELSE\n CALL dbcsr_tas_create(matrix1_out, matrix1_in%matrix%name, dist_1, dbcsr_tas_get_data_type(matrix1_in), &\n matrix1_in%col_blk_size, matrix1_in%row_blk_size, own_dist=.TRUE.)\n END IF\n\n ALLOCATE (matrix2_out)\n IF (.NOT. trans2_newdist) THEN\n CALL dbcsr_tas_create(matrix2_out, matrix2_in%matrix%name, dist_2, dbcsr_tas_get_data_type(matrix2_in), &\n matrix2_in%row_blk_size, matrix2_in%col_blk_size, own_dist=.TRUE.)\n ELSE\n CALL dbcsr_tas_create(matrix2_out, matrix2_in%matrix%name, dist_2, dbcsr_tas_get_data_type(matrix2_in), &\n matrix2_in%col_blk_size, matrix2_in%row_blk_size, own_dist=.TRUE.)\n END IF\n\n IF (.NOT. nodata1_prv) CALL dbcsr_tas_reshape(matrix1_in, matrix1_out, transposed=trans1_newdist, move_data=move_data_1)\n IF (.NOT. nodata2_prv) CALL dbcsr_tas_reshape(matrix2_in, matrix2_out, transposed=trans2_newdist, move_data=move_data_2)\n new1 = .TRUE.\n new2 = .TRUE.\n\n ELSE\n SELECT CASE (ref)\n CASE (1)\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A,1X,A)\") \"Redistribution of\", TRIM(matrix2_in%matrix%name)\n END IF\n\n CALL change_split(matrix1_in, matrix1_out, nsplit_prv, split_rc_1, new1, &\n move_data=move_data_1, nodata=nodata1, opt_nsplit=opt_nsplit)\n\n ALLOCATE (matrix2_out)\n CALL reshape_mm_template(matrix1_out, matrix2_in, matrix2_out, trans2, split_rc_2, &\n nodata=nodata2, move_data=move_data_2)\n new2 = .TRUE.\n CASE (2)\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A,1X,A)\") \"Redistribution of\", TRIM(matrix1_in%matrix%name)\n END IF\n\n CALL change_split(matrix2_in, matrix2_out, nsplit_prv, split_rc_2, new2, &\n move_data=move_data_2, nodata=nodata2, opt_nsplit=opt_nsplit)\n\n ALLOCATE (matrix1_out)\n CALL reshape_mm_template(matrix2_out, matrix1_in, matrix1_out, trans1, split_rc_1, &\n nodata=nodata1, move_data=move_data_1)\n new1 = .TRUE.\n END SELECT\n END IF\n END IF\n\n IF (PRESENT(move_data_1) .AND. new1) move_data_1 = .TRUE.\n IF (PRESENT(move_data_2) .AND. new2) move_data_2 = .TRUE.\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE change_split(matrix_in, matrix_out, nsplit, split_rowcol, is_new, opt_nsplit, move_data, nodata)\n !! Change split factor without redistribution\n\n TYPE(dbcsr_tas_type), TARGET, &\n INTENT(INOUT) :: matrix_in\n TYPE(dbcsr_tas_type), POINTER, INTENT(OUT) :: matrix_out\n INTEGER, INTENT(IN) :: nsplit\n !! new split factor, set to 0 to not change split of matrix_in\n INTEGER, INTENT(IN) :: split_rowcol\n !! split rows or columns\n LOGICAL, INTENT(OUT) :: is_new\n !! whether matrix_out is new or a pointer to matrix_in\n LOGICAL, INTENT(IN), OPTIONAL :: opt_nsplit\n !! whether nsplit should be optimized for current process grid\n LOGICAL, INTENT(IN), OPTIONAL :: nodata\n !! Data of matrix_in should not be copied to matrix_out\n LOGICAL, INTENT(INOUT), OPTIONAL :: move_data\n !! memory optimization: move data such that matrix_in is empty on return.\n\n INTEGER :: &\n split_rc, nsplit_old, handle, data_type, nsplit_new, nsplit_prv\n TYPE(dbcsr_tas_split_info) :: split_info\n CHARACTER(len=default_string_length) :: name\n TYPE(dbcsr_tas_distribution_type) :: dist\n LOGICAL :: nodata_prv\n CLASS(dbcsr_tas_distribution), ALLOCATABLE :: rdist, cdist\n CLASS(dbcsr_tas_rowcol_data), ALLOCATABLE :: rbsize, cbsize\n TYPE(mp_comm_type) :: mp_comm\n CHARACTER(LEN=*), PARAMETER :: routineN = 'change_split'\n\n NULLIFY (matrix_out)\n\n is_new = .TRUE.\n\n CALL dbcsr_tas_get_split_info(dbcsr_tas_info(matrix_in), mp_comm=mp_comm, &\n split_rowcol=split_rc, nsplit=nsplit_old)\n\n IF (nsplit == 0) THEN\n IF (split_rowcol == split_rc) THEN\n matrix_out => matrix_in\n is_new = .FALSE.\n RETURN\n ELSE\n nsplit_prv = 1\n END IF\n ELSE\n nsplit_prv = nsplit\n END IF\n\n CALL timeset(routineN, handle)\n\n nodata_prv = .FALSE.\n IF (PRESENT(nodata)) nodata_prv = nodata\n\n CALL dbcsr_tas_get_info(matrix_in, data_type=data_type, name=name, &\n row_blk_size=rbsize, col_blk_size=cbsize, &\n proc_row_dist=rdist, proc_col_dist=cdist)\n\n CALL dbcsr_tas_create_split(split_info, mp_comm, split_rowcol, nsplit_prv, opt_nsplit=opt_nsplit)\n\n CALL dbcsr_tas_get_split_info(split_info, nsplit=nsplit_new)\n\n IF (nsplit_old == nsplit_new .AND. split_rc == split_rowcol) THEN\n matrix_out => matrix_in\n is_new = .FALSE.\n CALL dbcsr_tas_release_info(split_info)\n CALL timestop(handle)\n RETURN\n END IF\n\n CALL dbcsr_tas_distribution_new(dist, mp_comm, rdist, cdist, &\n split_info=split_info)\n\n CALL dbcsr_tas_release_info(split_info)\n\n ALLOCATE (matrix_out)\n CALL dbcsr_tas_create(matrix_out, name, dist, &\n data_type, &\n rbsize, cbsize, own_dist=.TRUE.)\n\n IF (.NOT. nodata_prv) CALL dbcsr_tas_copy(matrix_out, matrix_in)\n\n IF (PRESENT(move_data)) THEN\n IF (.NOT. nodata_prv) THEN\n IF (move_data) CALL dbcsr_tas_clear(matrix_in)\n move_data = .TRUE.\n END IF\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE\n\n FUNCTION dist_compatible(mat_a, mat_b, split_rc_a, split_rc_b, unit_nr)\n !! Check whether matrices have same distribution and same split.\n TYPE(dbcsr_tas_type), INTENT(IN) :: mat_a, mat_b\n INTEGER, INTENT(IN) :: split_rc_a, split_rc_b\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n LOGICAL :: dist_compatible\n\n INTEGER :: same_local_rowcols, split_check_a, split_check_b\n TYPE(dbcsr_tas_split_info) :: info_a, info_b\n INTEGER :: unit_nr_prv, numproc\n INTEGER, DIMENSION(2) :: pdims_a, pdims_b, pcoord_a, pcoord_b\n INTEGER(int_8), DIMENSION(:), ALLOCATABLE :: local_rowcols_a, local_rowcols_b\n\n unit_nr_prv = prep_output_unit(unit_nr)\n\n dist_compatible = .FALSE.\n\n info_a = dbcsr_tas_info(mat_a)\n info_b = dbcsr_tas_info(mat_b)\n CALL dbcsr_tas_get_split_info(info_a, split_rowcol=split_check_a)\n CALL dbcsr_tas_get_split_info(info_b, split_rowcol=split_check_b)\n IF (split_check_b /= split_rc_b .OR. split_check_a /= split_rc_a .OR. split_rc_a /= split_rc_b) THEN\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, *) \"matrix layout a not compatible\", split_check_a, split_rc_a\n WRITE (unit_nr_prv, *) \"matrix layout b not compatible\", split_check_b, split_rc_b\n END IF\n RETURN\n END IF\n\n ! check if communicators are equivalent\n ! Note: mpi_comm_compare is not sufficient since this does not compare associated Cartesian grids.\n ! It's sufficient to check dimensions of global grid, subgrids will be determined later on (change_split)\n CALL mp_environ(numproc, pdims_a, pcoord_a, info_a%mp_comm)\n CALL mp_environ(numproc, pdims_b, pcoord_b, info_b%mp_comm)\n IF (.NOT. array_eq(pdims_a, pdims_b)) THEN\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, *) \"mp dims not compatible:\", pdims_a, \"|\", pdims_b\n END IF\n RETURN\n END IF\n\n ! check that distribution is the same by comparing local rows / columns for each matrix\n SELECT CASE (split_rc_a)\n CASE (rowsplit)\n CALL dbcsr_tas_get_info(mat_a, local_rows=local_rowcols_a)\n CALL dbcsr_tas_get_info(mat_b, local_rows=local_rowcols_b)\n CASE (colsplit)\n CALL dbcsr_tas_get_info(mat_a, local_cols=local_rowcols_a)\n CALL dbcsr_tas_get_info(mat_b, local_cols=local_rowcols_b)\n END SELECT\n\n same_local_rowcols = MERGE(1, 0, array_eq(local_rowcols_a, local_rowcols_b))\n\n CALL mp_sum(same_local_rowcols, info_a%mp_comm)\n\n IF (same_local_rowcols == numproc) THEN\n dist_compatible = .TRUE.\n ELSE\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, *) \"local rowcols not compatible\"\n WRITE (unit_nr_prv, *) \"local rowcols A\", local_rowcols_a\n WRITE (unit_nr_prv, *) \"local rowcols B\", local_rowcols_b\n END IF\n END IF\n\n END FUNCTION\n\n SUBROUTINE reshape_mm_template(template, matrix_in, matrix_out, trans, split_rc, nodata, move_data)\n !! Reshape matrix_in s.t. it has same process grid, distribution and split as template\n TYPE(dbcsr_tas_type), INTENT(IN) :: template\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_in\n TYPE(dbcsr_tas_type), INTENT(OUT) :: matrix_out\n CHARACTER(LEN=1), INTENT(INOUT) :: trans\n INTEGER, INTENT(IN) :: split_rc\n LOGICAL, INTENT(IN), OPTIONAL :: nodata, move_data\n CLASS(dbcsr_tas_distribution), ALLOCATABLE :: row_dist, col_dist\n\n TYPE(dbcsr_tas_distribution_type) :: dist_new\n TYPE(dbcsr_tas_split_info) :: info_template, info_matrix\n INTEGER :: dim_split_template, dim_split_matrix, &\n numnodes, handle\n INTEGER, DIMENSION(2) :: pcoord, pdims\n LOGICAL :: nodata_prv, transposed\n TYPE(mp_comm_type) :: mp_comm\n CHARACTER(LEN=*), PARAMETER :: routineN = 'reshape_mm_template'\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(nodata)) THEN\n nodata_prv = nodata\n ELSE\n nodata_prv = .FALSE.\n END IF\n\n info_template = dbcsr_tas_info(template)\n info_matrix = dbcsr_tas_info(matrix_in)\n\n dim_split_template = info_template%split_rowcol\n dim_split_matrix = split_rc\n\n transposed = dim_split_template .NE. dim_split_matrix\n IF (transposed) THEN\n SELECT CASE (trans)\n CASE (dbcsr_transpose)\n trans = dbcsr_no_transpose\n CASE (dbcsr_no_transpose)\n trans = dbcsr_transpose\n END SELECT\n END IF\n\n CALL mp_environ(numnodes, pdims, pcoord, info_template%mp_comm)\n\n SELECT CASE (dim_split_template)\n CASE (1)\n IF (.NOT. transposed) THEN\n ALLOCATE (row_dist, source=template%dist%row_dist)\n ALLOCATE (col_dist, source=dbcsr_tas_dist_arb_default(pdims(2), matrix_in%nblkcols, matrix_in%col_blk_size))\n ELSE\n ALLOCATE (row_dist, source=template%dist%row_dist)\n ALLOCATE (col_dist, source=dbcsr_tas_dist_arb_default(pdims(2), matrix_in%nblkrows, matrix_in%row_blk_size))\n END IF\n CASE (2)\n IF (.NOT. transposed) THEN\n ALLOCATE (row_dist, source=dbcsr_tas_dist_arb_default(pdims(1), matrix_in%nblkrows, matrix_in%row_blk_size))\n ALLOCATE (col_dist, source=template%dist%col_dist)\n ELSE\n ALLOCATE (row_dist, source=dbcsr_tas_dist_arb_default(pdims(1), matrix_in%nblkcols, matrix_in%col_blk_size))\n ALLOCATE (col_dist, source=template%dist%col_dist)\n END IF\n END SELECT\n\n CALL dbcsr_tas_get_split_info(info_template, mp_comm=mp_comm)\n CALL dbcsr_tas_distribution_new(dist_new, mp_comm, row_dist, col_dist, split_info=info_template)\n IF (.NOT. transposed) THEN\n CALL dbcsr_tas_create(matrix_out, matrix_in%matrix%name, dist_new, dbcsr_tas_get_data_type(matrix_in), &\n matrix_in%row_blk_size, matrix_in%col_blk_size, own_dist=.TRUE.)\n ELSE\n CALL dbcsr_tas_create(matrix_out, matrix_in%matrix%name, dist_new, dbcsr_tas_get_data_type(matrix_in), &\n matrix_in%col_blk_size, matrix_in%row_blk_size, own_dist=.TRUE.)\n END IF\n\n IF (.NOT. nodata_prv) CALL dbcsr_tas_reshape(matrix_in, matrix_out, transposed=transposed, move_data=move_data)\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_result_index(transa, transb, transc, matrix_a, matrix_b, matrix_c, filter_eps, &\n unit_nr, blk_ind, nze, retain_sparsity)\n !! Estimate sparsity pattern of C resulting from A x B = C by multiplying the block norms of A and B\n !! Same dummy arguments as dbcsr_tas_multiply\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb, transc\n TYPE(dbcsr_tas_type), INTENT(INOUT), TARGET :: matrix_a, matrix_b, matrix_c\n TYPE(dbcsr_tas_type), POINTER :: matrix_a_bnorm, matrix_b_bnorm, matrix_c_bnorm\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n INTEGER(int_8), DIMENSION(:, :), ALLOCATABLE, INTENT(OUT), OPTIONAL :: blk_ind\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n INTEGER(int_8), INTENT(OUT), OPTIONAL :: nze\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_result_index'\n LOGICAL :: retain_sparsity_prv\n INTEGER :: bn, row_size, col_size, handle, iblk, nblk\n INTEGER(int_8) :: row, col\n TYPE(dbcsr_tas_iterator) :: iter\n TYPE(mp_comm_type) :: mp_comm\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(retain_sparsity)) THEN\n retain_sparsity_prv = retain_sparsity\n ELSE\n retain_sparsity_prv = .FALSE.\n END IF\n\n IF (.NOT. retain_sparsity_prv) THEN\n ALLOCATE (matrix_a_bnorm, matrix_b_bnorm, matrix_c_bnorm)\n CALL create_block_norms_matrix(matrix_a, matrix_a_bnorm)\n CALL create_block_norms_matrix(matrix_b, matrix_b_bnorm)\n CALL create_block_norms_matrix(matrix_c, matrix_c_bnorm, nodata=.TRUE.)\n\n CALL dbcsr_tas_multiply(transa, transb, transc, dbcsr_scalar(1.0_real_8), matrix_a_bnorm, &\n matrix_b_bnorm, dbcsr_scalar(0.0_real_8), matrix_c_bnorm, &\n filter_eps=filter_eps, move_data_a=.TRUE., move_data_b=.TRUE., &\n simple_split=.TRUE., unit_nr=unit_nr)\n CALL dbcsr_tas_destroy(matrix_a_bnorm)\n CALL dbcsr_tas_destroy(matrix_b_bnorm)\n\n DEALLOCATE (matrix_a_bnorm, matrix_b_bnorm)\n ELSE\n matrix_c_bnorm => matrix_c\n END IF\n\n nblk = dbcsr_tas_get_num_blocks(matrix_c_bnorm)\n IF (PRESENT(blk_ind)) ALLOCATE (blk_ind(nblk, 2))\n\n CALL dbcsr_tas_iterator_start(iter, matrix_c_bnorm)\n IF (PRESENT(nze)) nze = 0\n DO iblk = 1, nblk\n CALL dbcsr_tas_iterator_next_block(iter, row, col, bn)\n row_size = matrix_c%row_blk_size%data(row)\n col_size = matrix_c%col_blk_size%data(col)\n IF (PRESENT(nze)) nze = nze + row_size*col_size\n IF (PRESENT(blk_ind)) blk_ind(iblk, :) = [row, col]\n END DO\n CALL dbcsr_tas_iterator_stop(iter)\n\n IF (PRESENT(nze)) THEN\n CALL dbcsr_tas_get_split_info(dbcsr_tas_info(matrix_a), mp_comm=mp_comm)\n CALL mp_sum(nze, mp_comm)\n END IF\n\n IF (.NOT. retain_sparsity_prv) THEN\n CALL dbcsr_tas_destroy(matrix_c_bnorm)\n DEALLOCATE (matrix_c_bnorm)\n END IF\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n FUNCTION split_factor_estimate(max_mm_dim, nze_a, nze_b, nze_c, numnodes) RESULT(nsplit)\n !! Estimate optimal split factor for AxB=C from occupancies (number of non-zero elements)\n !! This estimate is based on the minimization of communication volume whereby\n !! the communication of CARMA n-split step and CANNON-multiplication of submatrices are\n !! considered.\n !! \\result estimated split factor\n\n INTEGER, INTENT(IN) :: max_mm_dim\n INTEGER(KIND=int_8), INTENT(IN) :: nze_a, nze_b, nze_c\n !! number of non-zeroes in A\n !! number of non-zeroes in B\n !! number of non-zeroes in C\n INTEGER, INTENT(IN) :: numnodes\n !! number of MPI ranks\n INTEGER :: nsplit\n INTEGER(KIND=int_8) :: max_nze, min_nze\n REAL(real_8) :: s_opt_factor\n\n s_opt_factor = dbcsr_cfg%tas_split_factor%val\n\n SELECT CASE (max_mm_dim)\n CASE (1)\n min_nze = MAX(nze_b, 1_int_8)\n max_nze = MAX(MAXVAL([nze_a, nze_c]), 1_int_8)\n CASE (2)\n min_nze = MAX(nze_c, 1_int_8)\n max_nze = MAX(MAXVAL([nze_a, nze_b]), 1_int_8)\n CASE (3)\n min_nze = MAX(nze_a, 1_int_8)\n max_nze = MAX(MAXVAL([nze_b, nze_c]), 1_int_8)\n CASE DEFAULT\n DBCSR_ABORT(\"\")\n END SELECT\n\n nsplit = INT(MIN(INT(numnodes, KIND=int_8), NINT(REAL(max_nze, real_8)/(REAL(min_nze, real_8)*s_opt_factor), KIND=int_8)))\n IF (nsplit == 0) nsplit = 1\n\n END FUNCTION\n\n SUBROUTINE create_block_norms_matrix(matrix_in, matrix_out, nodata)\n !! Create a matrix with block sizes one that contains the block norms of matrix_in\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_in\n TYPE(dbcsr_tas_type), INTENT(OUT) :: matrix_out\n LOGICAL, INTENT(IN), OPTIONAL :: nodata\n TYPE(dbcsr_tas_blk_size_one) :: row_blk_size, col_blk_size\n TYPE(dbcsr_tas_iterator) :: iter\n INTEGER(KIND=int_8) :: row, column, nblkrows, nblkcols\n CHARACTER(len=default_string_length) :: name\n INTEGER :: data_type\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n ${dtype}$, DIMENSION(:, :), POINTER :: block_get_${dsuffix}$\n ${dtype}$, DIMENSION(:, :), POINTER :: block_put_${dsuffix}$\n #:endfor\n LOGICAL :: tr, nodata_prv, found\n\n DBCSR_ASSERT(matrix_in%valid)\n\n IF (PRESENT(nodata)) THEN\n nodata_prv = nodata\n ELSE\n nodata_prv = .FALSE.\n END IF\n\n CALL dbcsr_tas_get_info(matrix_in, data_type=data_type, name=name, &\n nblkrows_total=nblkrows, nblkcols_total=nblkcols)\n\n row_blk_size = dbcsr_tas_blk_size_one(nblkrows)\n col_blk_size = dbcsr_tas_blk_size_one(nblkcols)\n\n ! not sure if assumption that same distribution can be taken still holds\n CALL dbcsr_tas_create(matrix_out, name, matrix_in%dist, &\n data_type, &\n row_blk_size, col_blk_size)\n\n IF (.NOT. nodata_prv) THEN\n CALL dbcsr_tas_reserve_blocks(matrix_in, matrix_out)\n\n CALL dbcsr_tas_iterator_start(iter, matrix_in)\n\n DO WHILE (dbcsr_tas_iterator_blocks_left(iter))\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n IF (data_type == ${dparam}$) THEN\n CALL dbcsr_tas_iterator_next_block(iter, row, column, block_get_${dsuffix}$, tr)\n CALL dbcsr_tas_get_block_p(matrix_out, row, column, block_put_${dsuffix}$, tr, found)\n DBCSR_ASSERT(found)\n block_put_${dsuffix}$ (1, 1) = SQRT(SUM(block_get_${dsuffix}$**2)) ! norm2 works only for real\n END IF\n #:endfor\n END DO\n CALL dbcsr_tas_iterator_stop(iter)\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE convert_to_new_pgrid(mp_comm_cart, matrix_in, matrix_out, move_data, nodata, optimize_pgrid)\n !! Convert a DBCSR matrix to a new process grid\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm_cart\n !! new process grid\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_in\n TYPE(dbcsr_type), INTENT(OUT) :: matrix_out\n LOGICAL, INTENT(IN), OPTIONAL :: move_data, nodata\n !! memory optimization: move data such that matrix_in is empty on return.\n !! Data of matrix_in should not be copied to matrix_out\n LOGICAL, INTENT(IN), OPTIONAL :: optimize_pgrid\n !! Whether to change process grid\n\n INTEGER :: &\n nbrows, nbcols, data_type, nproc, handle\n INTEGER, DIMENSION(2) :: pdims, pcoord\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: row_dist, col_dist, rbsize, rcsize\n TYPE(dbcsr_distribution_obj) :: dist, dist_old\n TYPE(dbcsr_mp_obj) :: mp_obj\n CHARACTER(len=default_string_length) :: name\n LOGICAL :: nodata_prv, optimize_pgrid_prv\n CHARACTER(LEN=*), PARAMETER :: routineN = 'convert_to_new_pgrid'\n\n NULLIFY (row_dist, col_dist, rbsize, rcsize)\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(optimize_pgrid)) THEN\n optimize_pgrid_prv = optimize_pgrid\n ELSE\n optimize_pgrid_prv = .TRUE.\n END IF\n\n IF (PRESENT(nodata)) THEN\n nodata_prv = nodata\n ELSE\n nodata_prv = .FALSE.\n END IF\n\n IF (.NOT. optimize_pgrid_prv) THEN\n CALL dbcsr_create(matrix_out, template=matrix_in)\n IF (.NOT. nodata_prv) CALL dbcsr_copy(matrix_out, matrix_in)\n CALL timestop(handle)\n RETURN\n END IF\n\n CALL dbcsr_get_info(matrix_in, nblkrows_total=nbrows, nblkcols_total=nbcols, &\n row_blk_size=rbsize, col_blk_size=rcsize, &\n data_type=data_type, distribution=dist_old, name=name)\n CALL mp_environ(nproc, pdims, pcoord, mp_comm_cart)\n\n ALLOCATE (row_dist(nbrows), col_dist(nbcols))\n CALL dbcsr_tas_default_distvec(nbrows, pdims(1), rbsize, row_dist)\n CALL dbcsr_tas_default_distvec(nbcols, pdims(2), rcsize, col_dist)\n\n mp_obj = dbcsr_mp_environ(mp_comm_cart)\n CALL dbcsr_distribution_new(dist, mp_obj, row_dist, col_dist, reuse_arrays=.TRUE.)\n CALL dbcsr_mp_release(mp_obj)\n\n CALL dbcsr_create(matrix_out, name, dist, dbcsr_type_no_symmetry, rbsize, rcsize, data_type=data_type)\n CALL dbcsr_distribution_release(dist)\n\n IF (.NOT. nodata_prv) THEN\n CALL dbcsr_redistribute(matrix_in, matrix_out)\n IF (PRESENT(move_data)) THEN\n IF (move_data) CALL dbcsr_clear(matrix_in)\n END IF\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_batched_mm_init(matrix)\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n CALL dbcsr_tas_set_batched_state(matrix, state=1)\n ALLOCATE (matrix%mm_storage)\n matrix%mm_storage%batched_out = .FALSE.\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_batched_mm_finalize(matrix)\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n INTEGER :: handle\n\n CALL mp_sync(matrix%dist%info%mp_comm)\n CALL timeset(\"dbcsr_tas_total\", handle)\n\n IF (matrix%do_batched == 0) RETURN\n\n IF (matrix%mm_storage%batched_out) THEN\n CALL dbcsr_scale(matrix%matrix, matrix%mm_storage%batched_beta)\n END IF\n\n CALL dbcsr_tas_batched_mm_complete(matrix)\n\n matrix%mm_storage%batched_out = .FALSE.\n\n DEALLOCATE (matrix%mm_storage)\n CALL dbcsr_tas_set_batched_state(matrix, state=0)\n\n CALL mp_sync(matrix%dist%info%mp_comm)\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_set_batched_state(matrix, state, opt_grid)\n !! set state flags during batched multiplication\n\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n LOGICAL, INTENT(IN), OPTIONAL :: opt_grid\n !! whether process grid was already optimized and should not be changed\n INTEGER, INTENT(IN), OPTIONAL :: state\n !! - 0 no batched MM\n !! - 1 batched MM but mm_storage not yet initialized\n !! - 2 batched MM and mm_storage requires update\n !! - 3 batched MM and mm_storage initialized\n\n IF (PRESENT(opt_grid)) THEN\n matrix%has_opt_pgrid = opt_grid\n matrix%dist%info%strict_split(1) = .TRUE.\n END IF\n\n IF (PRESENT(state)) THEN\n matrix%do_batched = state\n SELECT CASE (state)\n CASE (0, 1)\n ! reset to default\n IF (matrix%has_opt_pgrid) THEN\n matrix%dist%info%strict_split(1) = .TRUE.\n ELSE\n matrix%dist%info%strict_split(1) = matrix%dist%info%strict_split(2)\n END IF\n CASE (2, 3)\n matrix%dist%info%strict_split(1) = .TRUE.\n CASE DEFAULT\n DBCSR_ABORT(\"should not happen\")\n END SELECT\n END IF\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_batched_mm_complete(matrix, warn)\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix\n LOGICAL, INTENT(IN), OPTIONAL :: warn\n\n IF (matrix%do_batched == 0) RETURN\n ASSOCIATE (storage => matrix%mm_storage)\n IF (PRESENT(warn)) THEN\n IF (warn .AND. matrix%do_batched == 3) THEN\n CALL dbcsr_warn(__LOCATION__, &\n \"Optimizations for batched multiplication are disabled because of conflicting data access\")\n END IF\n END IF\n IF (storage%batched_out .AND. matrix%do_batched == 3) THEN\n\n CALL dbcsr_tas_merge(storage%store_batched%matrix, &\n storage%store_batched_repl, move_data=.TRUE.)\n\n CALL dbcsr_tas_reshape(storage%store_batched, matrix, summation=.TRUE., &\n transposed=storage%batched_trans, move_data=.TRUE.)\n CALL dbcsr_tas_destroy(storage%store_batched)\n DEALLOCATE (storage%store_batched)\n END IF\n\n IF (ASSOCIATED(storage%store_batched_repl)) THEN\n CALL dbcsr_tas_destroy(storage%store_batched_repl)\n DEALLOCATE (storage%store_batched_repl)\n END IF\n END ASSOCIATE\n\n CALL dbcsr_tas_set_batched_state(matrix, state=2)\n\n END SUBROUTINE\n\nEND MODULE\n" }, { "path": "src/tas/dbcsr_tas_reshape_ops.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_reshape_ops\n !! communication routines to reshape / replicate / merge tall-and-skinny matrices.\n #:include \"dbcsr_tas.fypp\"\n\n USE dbcsr_block_access, ONLY: &\n dbcsr_put_block, dbcsr_reserve_blocks\n USE dbcsr_data_methods, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_init, dbcsr_data_new, dbcsr_data_release, &\n dbcsr_type_1d_to_2d, dbcsr_data_get_sizes, dbcsr_data_set_pointer\n USE dbcsr_data_methods_low, ONLY: &\n internal_data_allocate, internal_data_deallocate, dbcsr_get_data_p_2d_d, dbcsr_get_data_p_2d_s, &\n dbcsr_get_data_p_2d_z, dbcsr_get_data_p_2d_c\n USE dbcsr_data_types, ONLY: &\n dbcsr_data_obj, dbcsr_type_real_8, dbcsr_type_real_4, dbcsr_type_complex_8, dbcsr_type_complex_4\n USE dbcsr_dist_methods, ONLY: &\n dbcsr_distribution_col_dist, dbcsr_distribution_row_dist\n USE dbcsr_dist_operations, ONLY: &\n dbcsr_get_stored_coordinates\n USE dbcsr_iterator_operations, ONLY: &\n dbcsr_iterator_blocks_left, dbcsr_iterator_next_block, dbcsr_iterator_start, dbcsr_iterator_stop\n USE dbcsr_methods, ONLY: &\n dbcsr_blk_column_size, dbcsr_blk_row_size\n USE dbcsr_operations, ONLY: &\n dbcsr_get_info, dbcsr_clear\n USE dbcsr_tas_base, ONLY: &\n dbcsr_tas_blk_sizes, dbcsr_tas_create, dbcsr_tas_distribution_new, dbcsr_tas_finalize, &\n dbcsr_tas_get_data_type, dbcsr_tas_get_stored_coordinates, dbcsr_tas_info, &\n dbcsr_tas_iterator_blocks_left, dbcsr_tas_iterator_next_block, dbcsr_tas_iterator_start, &\n dbcsr_tas_iterator_stop, dbcsr_tas_put_block, dbcsr_tas_reserve_blocks, &\n dbcsr_repl_get_stored_coordinates, dbcsr_tas_clear\n USE dbcsr_tas_types, ONLY: &\n dbcsr_tas_distribution_type, dbcsr_tas_iterator, dbcsr_tas_split_info, dbcsr_tas_type\n USE dbcsr_tas_global, ONLY: &\n dbcsr_tas_blk_size_arb, dbcsr_tas_blk_size_repl, dbcsr_tas_dist_arb, dbcsr_tas_dist_repl, &\n dbcsr_tas_distribution, dbcsr_tas_rowcol_data\n USE dbcsr_tas_split, ONLY: &\n colsplit, dbcsr_tas_get_split_info, rowsplit\n USE dbcsr_types, ONLY: &\n dbcsr_distribution_obj, dbcsr_iterator, dbcsr_type\n USE dbcsr_work_operations, ONLY: &\n dbcsr_finalize\n USE dbcsr_kinds, ONLY: &\n int_8, real_8, real_4\n USE dbcsr_mpiwrap, ONLY: &\n mp_alltoall, mp_environ, mp_isend, mp_irecv, mp_waitall, mp_comm_type, mp_request_type\n USE dbcsr_tas_util, ONLY: &\n swap, index_unique\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tas_reshape_ops'\n\n PUBLIC :: &\n dbcsr_tas_merge, &\n dbcsr_tas_replicate, &\n dbcsr_tas_reshape\n\n TYPE block_buffer_type\n INTEGER :: nblock = -1\n INTEGER(KIND=int_8), DIMENSION(:, :), ALLOCATABLE :: indx\n #:for dparam, dtype, dsuffix in dtype_float_list\n ${dtype}$, DIMENSION(:), ALLOCATABLE :: msg_${dsuffix}$\n #:endfor\n INTEGER :: data_type = -1\n INTEGER :: endpos = -1\n END TYPE\n\n INTERFACE block_buffer_get_next_block\n MODULE PROCEDURE block_buffer_get_next_area_block\n #!for dparam, dtype, dsuffix in dtype_float_list\n !MODULE PROCEDURE block_buffer_get_next_block_${dsuffix}$ ! issue: ambiguous interface\n #!endfor\n END INTERFACE\n\n INTERFACE block_buffer_add_block\n MODULE PROCEDURE block_buffer_add_area_block\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE block_buffer_add_block_${dsuffix}$\n #:endfor\n END INTERFACE\n\nCONTAINS\n\n RECURSIVE SUBROUTINE dbcsr_tas_reshape(matrix_in, matrix_out, summation, transposed, move_data)\n !! copy data (involves reshape)\n\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_in, matrix_out\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! whether matrix_out = matrix_out + matrix_in\n LOGICAL, INTENT(IN), OPTIONAL :: transposed\n LOGICAL, INTENT(IN), OPTIONAL :: move_data\n !! memory optimization: move data to matrix_out such that matrix_in is empty on return\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_reshape'\n\n INTEGER :: handle, handle2, iproc, mynode, nblock, &\n ndata, numnodes, bcount, nblk\n INTEGER(KIND=int_8), ALLOCATABLE, DIMENSION(:, :) :: index_recv, blks_to_allocate\n INTEGER(KIND=int_8), DIMENSION(2) :: blk_index\n INTEGER, ALLOCATABLE, DIMENSION(:) :: num_blocks_recv, num_blocks_send, &\n num_entries_recv, num_entries_send, &\n num_rec, num_send\n TYPE(mp_request_type), ALLOCATABLE, DIMENSION(:, :) :: req_array\n INTEGER, DIMENSION(2) :: blk_size\n LOGICAL :: tr, tr_in, move_prv\n TYPE(block_buffer_type), ALLOCATABLE, DIMENSION(:) :: buffer_recv, buffer_send\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_tas_iterator) :: iter\n TYPE(dbcsr_tas_split_info) :: info\n TYPE(mp_comm_type) :: mp_comm\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(summation)) THEN\n IF (.NOT. summation) CALL dbcsr_clear(matrix_out%matrix)\n ELSE\n CALL dbcsr_clear(matrix_out%matrix)\n END IF\n\n IF (PRESENT(move_data)) THEN\n move_prv = move_data\n ELSE\n move_prv = .FALSE.\n END IF\n\n IF (PRESENT(transposed)) THEN\n tr_in = transposed\n ELSE\n tr_in = .FALSE.\n END IF\n\n IF (.NOT. matrix_out%valid) THEN\n DBCSR_ABORT(\"can not reshape into invalid matrix\")\n END IF\n\n info = dbcsr_tas_info(matrix_in)\n mp_comm = info%mp_comm\n CALL mp_environ(numnodes, mynode, mp_comm)\n ALLOCATE (buffer_send(0:numnodes - 1))\n ALLOCATE (buffer_recv(0:numnodes - 1))\n ALLOCATE (num_blocks_recv(0:numnodes - 1))\n ALLOCATE (num_blocks_send(0:numnodes - 1))\n ALLOCATE (num_entries_recv(0:numnodes - 1))\n ALLOCATE (num_entries_send(0:numnodes - 1))\n ALLOCATE (num_rec(0:2*numnodes - 1))\n ALLOCATE (num_send(0:2*numnodes - 1))\n num_send(:) = 0\n ALLOCATE (req_array(1:numnodes, 4))\n CALL dbcsr_tas_iterator_start(iter, matrix_in)\n\n CALL timeset(routineN//\"_get_coord\", handle2)\n DO WHILE (dbcsr_tas_iterator_blocks_left(iter))\n CALL dbcsr_tas_iterator_next_block(iter, blk_index(1), blk_index(2), nblock, transposed=tr, &\n row_size=blk_size(1), col_size=blk_size(2))\n\n IF (tr_in) THEN\n CALL dbcsr_tas_get_stored_coordinates(matrix_out, blk_index(2), blk_index(1), iproc)\n ELSE\n CALL dbcsr_tas_get_stored_coordinates(matrix_out, blk_index(1), blk_index(2), iproc)\n END IF\n\n num_send(2*iproc) = num_send(2*iproc) + PRODUCT(blk_size)\n num_send(2*iproc + 1) = num_send(2*iproc + 1) + 1\n END DO\n CALL dbcsr_tas_iterator_stop(iter)\n CALL timestop(handle2)\n\n CALL timeset(routineN//\"_alltoall\", handle2)\n CALL mp_alltoall(num_send, num_rec, 2, mp_comm)\n CALL timestop(handle2)\n\n CALL timeset(routineN//\"_buffer_fill\", handle2)\n DO iproc = 0, numnodes - 1\n num_entries_recv(iproc) = num_rec(2*iproc)\n num_blocks_recv(iproc) = num_rec(2*iproc + 1)\n num_entries_send(iproc) = num_send(2*iproc)\n num_blocks_send(iproc) = num_send(2*iproc + 1)\n\n CALL block_buffer_create(buffer_send(iproc), num_blocks_send(iproc), num_entries_send(iproc), &\n dbcsr_tas_get_data_type(matrix_in))\n\n CALL block_buffer_create(buffer_recv(iproc), num_blocks_recv(iproc), num_entries_recv(iproc), &\n dbcsr_tas_get_data_type(matrix_in))\n\n END DO\n\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, dbcsr_type_1d_to_2d(dbcsr_tas_get_data_type(matrix_in))) ! need to convert to 2d data type\n CALL dbcsr_tas_iterator_start(iter, matrix_in)\n DO WHILE (dbcsr_tas_iterator_blocks_left(iter))\n CALL dbcsr_tas_iterator_next_block(iter, blk_index(1), blk_index(2), block, tr, &\n row_size=blk_size(1), col_size=blk_size(2))\n\n DBCSR_ASSERT(tr .EQV. .FALSE.)\n\n IF (tr_in) THEN\n CALL dbcsr_tas_get_stored_coordinates(matrix_out, blk_index(2), blk_index(1), iproc)\n ELSE\n CALL dbcsr_tas_get_stored_coordinates(matrix_out, blk_index(1), blk_index(2), iproc)\n END IF\n CALL block_buffer_add_block(buffer_send(iproc), blk_index, block, transposed=tr_in)\n END DO\n CALL dbcsr_tas_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n\n IF (move_prv) CALL dbcsr_tas_clear(matrix_in)\n\n CALL timestop(handle2)\n\n CALL timeset(routineN//\"_communicate_buffer\", handle2)\n CALL dbcsr_tas_communicate_buffer(mp_comm, buffer_recv, buffer_send, req_array)\n\n DO iproc = 0, numnodes - 1\n CALL block_buffer_destroy(buffer_send(iproc))\n END DO\n\n CALL timestop(handle2)\n\n CALL timeset(routineN//\"_buffer_obtain\", handle2)\n\n nblk = SUM(num_blocks_recv)\n ALLOCATE (blks_to_allocate(nblk, 2))\n\n bcount = 0\n DO iproc = 0, numnodes - 1\n CALL block_buffer_get_index(buffer_recv(iproc), index_recv)\n blks_to_allocate(bcount + 1:bcount + SIZE(index_recv, 1), :) = index_recv(:, :)\n bcount = bcount + SIZE(index_recv, 1)\n DEALLOCATE (index_recv)\n END DO\n\n CALL dbcsr_tas_reserve_blocks(matrix_out, blks_to_allocate(:, 1), blks_to_allocate(:, 2))\n DEALLOCATE (blks_to_allocate)\n\n DO iproc = 0, numnodes - 1\n ! First, we need to get the index to create block\n DO WHILE (block_buffer_blocks_left(buffer_recv(iproc)))\n CALL block_buffer_get_next_block(buffer_recv(iproc), ndata, blk_index)\n CALL dbcsr_tas_blk_sizes(matrix_out, blk_index(1), blk_index(2), blk_size(1), blk_size(2))\n CALL internal_data_allocate(block%d, blk_size)\n CALL block_buffer_get_next_block(buffer_recv(iproc), ndata, blk_index, block)\n CALL dbcsr_tas_put_block(matrix_out, blk_index(1), blk_index(2), block, summation=summation)\n CALL internal_data_deallocate(block%d)\n END DO\n CALL block_buffer_destroy(buffer_recv(iproc))\n END DO\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n\n CALL timestop(handle2)\n\n CALL dbcsr_tas_finalize(matrix_out)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_replicate(matrix_in, info, matrix_out, nodata, move_data)\n !! Replicate matrix_in such that each submatrix of matrix_out is an exact copy of matrix_in\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_in\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: info\n TYPE(dbcsr_tas_type), INTENT(OUT) :: matrix_out\n LOGICAL, INTENT(IN), OPTIONAL :: nodata\n !! Don't copy data but create matrix_out\n LOGICAL, INTENT(IN), OPTIONAL :: move_data\n !! memory optimization: move data to matrix_out such that matrix_in is empty on return\n\n INTEGER :: data_type, nblkcols, nblkrows\n INTEGER, DIMENSION(2) :: pcoord, pdims\n INTEGER, DIMENSION(:), POINTER :: col_blk_size, col_dist, &\n row_blk_size, row_dist\n TYPE(dbcsr_distribution_obj) :: dbcsr_dist\n TYPE(dbcsr_tas_dist_arb), TARGET :: dir_dist\n TYPE(dbcsr_tas_dist_repl), TARGET :: repl_dist\n\n CLASS(dbcsr_tas_distribution), ALLOCATABLE :: col_dist_obj, row_dist_obj\n CLASS(dbcsr_tas_rowcol_data), ALLOCATABLE :: row_bsize_obj, col_bsize_obj\n TYPE(dbcsr_tas_blk_size_repl), TARGET :: repl_blksize\n TYPE(dbcsr_tas_blk_size_arb), TARGET :: dir_blksize\n TYPE(dbcsr_tas_distribution_type) :: dist\n INTEGER :: numnodes, mynode\n TYPE(block_buffer_type), ALLOCATABLE, DIMENSION(:) :: buffer_recv, buffer_send\n INTEGER, ALLOCATABLE, DIMENSION(:) :: num_blocks_recv, num_blocks_send, &\n num_entries_recv, num_entries_send, &\n num_rec, num_send\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: blks_to_allocate\n INTEGER, DIMENSION(2) :: blk_size\n INTEGER, DIMENSION(2) :: blk_index\n INTEGER(KIND=int_8), DIMENSION(2) :: blk_index_i8\n TYPE(dbcsr_iterator) :: iter\n INTEGER :: nblock, i, iproc, bcount, nblk\n INTEGER, DIMENSION(:), ALLOCATABLE :: iprocs\n LOGICAL :: tr, nodata_prv, move_prv\n INTEGER(KIND=int_8), ALLOCATABLE, DIMENSION(:, :) :: index_recv\n INTEGER :: ndata\n TYPE(mp_comm_type) :: mp_comm\n TYPE(mp_request_type), ALLOCATABLE, DIMENSION(:, :) :: req_array\n\n TYPE(dbcsr_data_obj) :: block\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_replicate'\n\n INTEGER :: handle, handle2\n\n NULLIFY (col_blk_size, row_blk_size)\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(nodata)) THEN\n nodata_prv = nodata\n ELSE\n nodata_prv = .FALSE.\n END IF\n\n IF (PRESENT(move_data)) THEN\n move_prv = move_data\n ELSE\n move_prv = .FALSE.\n END IF\n\n CALL dbcsr_get_info(matrix_in, distribution=dbcsr_dist, data_type=data_type, &\n nblkrows_total=nblkrows, nblkcols_total=nblkcols, &\n row_blk_size=row_blk_size, col_blk_size=col_blk_size)\n row_dist => dbcsr_distribution_row_dist(dbcsr_dist)\n col_dist => dbcsr_distribution_col_dist(dbcsr_dist)\n\n mp_comm = info%mp_comm\n\n CALL mp_environ(numnodes, mynode, mp_comm)\n CALL mp_environ(numnodes, pdims, pcoord, mp_comm)\n\n SELECT CASE (info%split_rowcol)\n CASE (rowsplit)\n repl_dist = dbcsr_tas_dist_repl(row_dist, pdims(1), nblkrows, info%ngroup, info%pgrid_split_size)\n dir_dist = dbcsr_tas_dist_arb(col_dist, pdims(2), INT(nblkcols, KIND=int_8))\n repl_blksize = dbcsr_tas_blk_size_repl(row_blk_size, info%ngroup)\n dir_blksize = dbcsr_tas_blk_size_arb(col_blk_size)\n ALLOCATE (row_dist_obj, source=repl_dist)\n ALLOCATE (col_dist_obj, source=dir_dist)\n ALLOCATE (row_bsize_obj, source=repl_blksize)\n ALLOCATE (col_bsize_obj, source=dir_blksize)\n CASE (colsplit)\n dir_dist = dbcsr_tas_dist_arb(row_dist, pdims(1), INT(nblkrows, KIND=int_8))\n repl_dist = dbcsr_tas_dist_repl(col_dist, pdims(2), nblkcols, info%ngroup, info%pgrid_split_size)\n dir_blksize = dbcsr_tas_blk_size_arb(row_blk_size)\n repl_blksize = dbcsr_tas_blk_size_repl(col_blk_size, info%ngroup)\n ALLOCATE (row_dist_obj, source=dir_dist)\n ALLOCATE (col_dist_obj, source=repl_dist)\n ALLOCATE (row_bsize_obj, source=dir_blksize)\n ALLOCATE (col_bsize_obj, source=repl_blksize)\n END SELECT\n\n CALL dbcsr_tas_distribution_new(dist, mp_comm, row_dist_obj, col_dist_obj, split_info=info)\n CALL dbcsr_tas_create(matrix_out, TRIM(matrix_in%name)//\" replicated\", &\n dist, data_type, row_bsize_obj, col_bsize_obj, own_dist=.TRUE.)\n\n IF (nodata_prv) THEN\n CALL dbcsr_tas_finalize(matrix_out)\n CALL timestop(handle)\n RETURN\n END IF\n\n ALLOCATE (buffer_send(0:numnodes - 1))\n ALLOCATE (buffer_recv(0:numnodes - 1))\n ALLOCATE (num_blocks_recv(0:numnodes - 1))\n ALLOCATE (num_blocks_send(0:numnodes - 1))\n ALLOCATE (num_entries_recv(0:numnodes - 1))\n ALLOCATE (num_entries_send(0:numnodes - 1))\n ALLOCATE (num_rec(0:2*numnodes - 1))\n ALLOCATE (num_send(0:2*numnodes - 1))\n num_send(:) = 0\n ALLOCATE (req_array(1:numnodes, 4))\n\n ALLOCATE (iprocs(info%ngroup))\n CALL dbcsr_iterator_start(iter, matrix_in)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blk_index(1), blk_index(2), nblock, transposed=tr, &\n row_size=blk_size(1), col_size=blk_size(2))\n CALL dbcsr_repl_get_stored_coordinates(matrix_out, blk_index(1), blk_index(2), iprocs)\n DO i = 1, SIZE(iprocs)\n num_send(2*iprocs(i)) = num_send(2*iprocs(i)) + PRODUCT(blk_size)\n num_send(2*iprocs(i) + 1) = num_send(2*iprocs(i) + 1) + 1\n END DO\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n CALL timeset(routineN//\"_alltoall\", handle2)\n CALL mp_alltoall(num_send, num_rec, 2, mp_comm)\n CALL timestop(handle2)\n\n DO iproc = 0, numnodes - 1\n num_entries_recv(iproc) = num_rec(2*iproc)\n num_blocks_recv(iproc) = num_rec(2*iproc + 1)\n num_entries_send(iproc) = num_send(2*iproc)\n num_blocks_send(iproc) = num_send(2*iproc + 1)\n\n CALL block_buffer_create(buffer_send(iproc), num_blocks_send(iproc), num_entries_send(iproc), &\n data_type)\n\n CALL block_buffer_create(buffer_recv(iproc), num_blocks_recv(iproc), num_entries_recv(iproc), &\n data_type)\n\n END DO\n\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, dbcsr_type_1d_to_2d(data_type))\n CALL dbcsr_iterator_start(iter, matrix_in)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blk_index(1), blk_index(2), block, tr, &\n row_size=blk_size(1), col_size=blk_size(2))\n CALL dbcsr_repl_get_stored_coordinates(matrix_out, blk_index(1), blk_index(2), iprocs)\n DO i = 1, SIZE(iprocs)\n CALL block_buffer_add_block(buffer_send(iprocs(i)), INT(blk_index, KIND=int_8), block)\n END DO\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(block)\n\n IF (move_prv) CALL dbcsr_clear(matrix_in)\n\n CALL timeset(routineN//\"_communicate_buffer\", handle2)\n CALL dbcsr_tas_communicate_buffer(mp_comm, buffer_recv, buffer_send, req_array)\n\n DO iproc = 0, numnodes - 1\n CALL block_buffer_destroy(buffer_send(iproc))\n END DO\n\n CALL timestop(handle2)\n\n nblk = SUM(num_blocks_recv)\n ALLOCATE (blks_to_allocate(nblk, 2))\n\n bcount = 0\n DO iproc = 0, numnodes - 1\n CALL block_buffer_get_index(buffer_recv(iproc), index_recv)\n blks_to_allocate(bcount + 1:bcount + SIZE(index_recv, 1), :) = INT(index_recv(:, :))\n bcount = bcount + SIZE(index_recv, 1)\n DEALLOCATE (index_recv)\n END DO\n\n CALL dbcsr_reserve_blocks(matrix_out%matrix, blks_to_allocate(:, 1), blks_to_allocate(:, 2))\n DEALLOCATE (blks_to_allocate)\n\n DO iproc = 0, numnodes - 1\n ! First, we need to get the index to create block\n DO WHILE (block_buffer_blocks_left(buffer_recv(iproc)))\n CALL block_buffer_get_next_block(buffer_recv(iproc), ndata, blk_index_i8)\n CALL dbcsr_tas_blk_sizes(matrix_out, blk_index_i8(1), blk_index_i8(2), blk_size(1), blk_size(2))\n CALL internal_data_allocate(block%d, blk_size)\n CALL block_buffer_get_next_block(buffer_recv(iproc), ndata, blk_index_i8, block)\n CALL dbcsr_put_block(matrix_out%matrix, INT(blk_index_i8(1)), INT(blk_index_i8(2)), block)\n CALL internal_data_deallocate(block%d)\n END DO\n\n CALL block_buffer_destroy(buffer_recv(iproc))\n END DO\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n\n CALL dbcsr_tas_finalize(matrix_out)\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_merge(matrix_out, matrix_in, summation, move_data)\n !! Merge submatrices of matrix_in to matrix_out by sum\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_out\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_in\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n LOGICAL, INTENT(IN), OPTIONAL :: move_data\n !! memory optimization: move data to matrix_out such that matrix_in is empty on return\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_merge'\n INTEGER :: data_type, handle, handle2, iproc, &\n mynode, nblock, ndata, numnodes, nblk, bcount\n INTEGER(KIND=int_8), ALLOCATABLE, DIMENSION(:, :) :: index_recv\n INTEGER(KIND=int_8), DIMENSION(2) :: blk_index_i8\n INTEGER, ALLOCATABLE, DIMENSION(:) :: iprocs, num_blocks_recv, &\n num_blocks_send, num_entries_recv, &\n num_entries_send, num_rec, num_send\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: blks_to_allocate, blks_to_allocate_u\n INTEGER, DIMENSION(2) :: blk_index, blk_size\n LOGICAL :: tr, move_prv\n TYPE(block_buffer_type), ALLOCATABLE, DIMENSION(:) :: buffer_recv, buffer_send\n TYPE(dbcsr_data_obj) :: block\n TYPE(dbcsr_iterator) :: iter\n TYPE(dbcsr_tas_split_info) :: info\n TYPE(mp_comm_type) :: mp_comm\n TYPE(mp_request_type), ALLOCATABLE, DIMENSION(:, :) :: req_array\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(summation)) THEN\n IF (.NOT. summation) CALL dbcsr_clear(matrix_out)\n ELSE\n CALL dbcsr_clear(matrix_out)\n END IF\n\n IF (PRESENT(move_data)) THEN\n move_prv = move_data\n ELSE\n move_prv = .FALSE.\n END IF\n\n data_type = dbcsr_tas_get_data_type(matrix_in)\n\n info = dbcsr_tas_info(matrix_in)\n CALL dbcsr_tas_get_split_info(info, mp_comm=mp_comm)\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n ALLOCATE (buffer_send(0:numnodes - 1))\n ALLOCATE (buffer_recv(0:numnodes - 1))\n ALLOCATE (num_blocks_recv(0:numnodes - 1))\n ALLOCATE (num_blocks_send(0:numnodes - 1))\n ALLOCATE (num_entries_recv(0:numnodes - 1))\n ALLOCATE (num_entries_send(0:numnodes - 1))\n ALLOCATE (num_rec(0:2*numnodes - 1))\n ALLOCATE (num_send(0:2*numnodes - 1))\n num_send(:) = 0\n ALLOCATE (req_array(1:numnodes, 4))\n\n ALLOCATE (iprocs(info%ngroup))\n\n CALL dbcsr_iterator_start(iter, matrix_in%matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blk_index(1), blk_index(2), nblock, transposed=tr, &\n row_size=blk_size(1), col_size=blk_size(2))\n CALL dbcsr_get_stored_coordinates(matrix_out, blk_index(1), blk_index(2), iproc)\n num_send(2*iproc) = num_send(2*iproc) + PRODUCT(blk_size)\n num_send(2*iproc + 1) = num_send(2*iproc + 1) + 1\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n CALL timeset(routineN//\"_alltoall\", handle2)\n CALL mp_alltoall(num_send, num_rec, 2, mp_comm)\n CALL timestop(handle2)\n\n DO iproc = 0, numnodes - 1\n num_entries_recv(iproc) = num_rec(2*iproc)\n num_blocks_recv(iproc) = num_rec(2*iproc + 1)\n num_entries_send(iproc) = num_send(2*iproc)\n num_blocks_send(iproc) = num_send(2*iproc + 1)\n\n CALL block_buffer_create(buffer_send(iproc), num_blocks_send(iproc), num_entries_send(iproc), &\n data_type)\n\n CALL block_buffer_create(buffer_recv(iproc), num_blocks_recv(iproc), num_entries_recv(iproc), &\n data_type)\n\n END DO\n\n CALL dbcsr_data_init(block)\n CALL dbcsr_data_new(block, dbcsr_type_1d_to_2d(data_type))\n CALL dbcsr_iterator_start(iter, matrix_in%matrix)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, blk_index(1), blk_index(2), block, tr, &\n row_size=blk_size(1), col_size=blk_size(2))\n CALL dbcsr_get_stored_coordinates(matrix_out, blk_index(1), blk_index(2), iproc)\n CALL block_buffer_add_block(buffer_send(iproc), INT(blk_index, KIND=int_8), block)\n END DO\n\n CALL dbcsr_iterator_stop(iter)\n\n IF (move_prv) CALL dbcsr_tas_clear(matrix_in)\n\n CALL timeset(routineN//\"_communicate_buffer\", handle2)\n CALL dbcsr_tas_communicate_buffer(mp_comm, buffer_recv, buffer_send, req_array)\n\n DO iproc = 0, numnodes - 1\n CALL block_buffer_destroy(buffer_send(iproc))\n END DO\n\n CALL timestop(handle2)\n\n nblk = SUM(num_blocks_recv)\n ALLOCATE (blks_to_allocate(nblk, 2))\n\n bcount = 0\n DO iproc = 0, numnodes - 1\n CALL block_buffer_get_index(buffer_recv(iproc), index_recv)\n blks_to_allocate(bcount + 1:bcount + SIZE(index_recv, 1), :) = INT(index_recv(:, :))\n bcount = bcount + SIZE(index_recv, 1)\n DEALLOCATE (index_recv)\n END DO\n\n CALL index_unique(blks_to_allocate, blks_to_allocate_u)\n\n CALL dbcsr_reserve_blocks(matrix_out, blks_to_allocate_u(:, 1), blks_to_allocate_u(:, 2))\n DEALLOCATE (blks_to_allocate, blks_to_allocate_u)\n\n DO iproc = 0, numnodes - 1\n ! First, we need to get the index to create block\n DO WHILE (block_buffer_blocks_left(buffer_recv(iproc)))\n CALL block_buffer_get_next_block(buffer_recv(iproc), ndata, blk_index_i8)\n blk_size(1) = dbcsr_blk_row_size(matrix_out, INT(blk_index_i8(1)))\n blk_size(2) = dbcsr_blk_column_size(matrix_out, INT(blk_index_i8(2)))\n CALL internal_data_allocate(block%d, blk_size)\n CALL block_buffer_get_next_block(buffer_recv(iproc), ndata, blk_index_i8, block)\n CALL dbcsr_put_block(matrix_out, INT(blk_index_i8(1)), INT(blk_index_i8(2)), block, summation=.TRUE.)\n CALL internal_data_deallocate(block%d)\n END DO\n CALL block_buffer_destroy(buffer_recv(iproc))\n END DO\n CALL dbcsr_data_clear_pointer(block)\n CALL dbcsr_data_release(block)\n\n CALL dbcsr_finalize(matrix_out)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE block_buffer_get_index(buffer, index)\n !! get all indices from buffer\n TYPE(block_buffer_type), INTENT(IN) :: buffer\n INTEGER(KIND=int_8), ALLOCATABLE, &\n DIMENSION(:, :), INTENT(OUT) :: index\n\n INTEGER, DIMENSION(2) :: indx_shape\n CHARACTER(LEN=*), PARAMETER :: routineN = 'block_buffer_get_index'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n indx_shape = SHAPE(buffer%indx) - [0, 1]\n ALLOCATE (INDEX(indx_shape(1), indx_shape(2)))\n INDEX(:, :) = buffer%indx(1:indx_shape(1), 1:indx_shape(2))\n CALL timestop(handle)\n END SUBROUTINE\n\n PURE FUNCTION block_buffer_blocks_left(buffer)\n !! how many blocks left in iterator\n TYPE(block_buffer_type), INTENT(IN) :: buffer\n LOGICAL :: block_buffer_blocks_left\n\n block_buffer_blocks_left = buffer%endpos .LT. buffer%nblock\n END FUNCTION\n\n SUBROUTINE block_buffer_create(buffer, nblock, ndata, data_type)\n !! Create block buffer for MPI communication.\n\n TYPE(block_buffer_type), INTENT(OUT) :: buffer\n !! block buffer\n INTEGER, INTENT(IN) :: nblock, ndata, data_type\n !! number of blocks\n !! total number of block entries\n\n buffer%nblock = nblock\n buffer%data_type = data_type\n buffer%endpos = 0\n SELECT CASE (data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n ALLOCATE (buffer%msg_${dsuffix}$ (ndata))\n #:endfor\n END SELECT\n ALLOCATE (buffer%indx(nblock, 3))\n END SUBROUTINE\n\n SUBROUTINE block_buffer_destroy(buffer)\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n\n SELECT CASE (buffer%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n DEALLOCATE (buffer%msg_${dsuffix}$)\n #:endfor\n END SELECT\n DEALLOCATE (buffer%indx)\n buffer%nblock = -1\n buffer%data_type = -1\n buffer%endpos = -1\n END SUBROUTINE block_buffer_destroy\n\n SUBROUTINE block_buffer_add_area_block(buffer, index, block, transposed)\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n INTEGER(KIND=int_8), DIMENSION(2), &\n INTENT(IN) :: index\n TYPE(dbcsr_data_obj), INTENT(IN) :: block\n LOGICAL, INTENT(IN), OPTIONAL :: transposed\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n ${dtype}$, DIMENSION(:, :), POINTER :: block_${dsuffix}$\n #:endfor\n\n SELECT CASE (buffer%data_type)\n #:for dparam, dtype, dsuffix, dsuffix_dbcsr in dtype_float_list_dbcsr\n CASE (${dparam}$)\n block_${dsuffix}$ => dbcsr_get_data_p_2d_${dsuffix_dbcsr}$ (block)\n CALL block_buffer_add_block_${dsuffix}$ (buffer, index, block_${dsuffix}$, transposed)\n #:endfor\n END SELECT\n END SUBROUTINE\n\n SUBROUTINE block_buffer_get_next_area_block(buffer, ndata, index, block, advance_iter)\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n INTEGER, INTENT(OUT) :: ndata\n INTEGER(KIND=int_8), DIMENSION(2), &\n INTENT(OUT) :: index\n TYPE(dbcsr_data_obj), INTENT(INOUT), OPTIONAL :: block\n LOGICAL, INTENT(IN), OPTIONAL :: advance_iter\n LOGICAL :: valid\n INTEGER, DIMENSION(2) :: sizes\n #:for dparam, dtype, dsuffix in dtype_float_list\n ${dtype}$, DIMENSION(:, :), POINTER :: data_${dsuffix}$\n #:endfor\n\n IF (PRESENT(block)) THEN\n CALL dbcsr_data_get_sizes(block, sizes, valid)\n DBCSR_ASSERT(valid)\n CALL internal_data_deallocate(block%d)\n END IF\n\n SELECT CASE (buffer%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n IF (PRESENT(block)) THEN\n ALLOCATE (data_${dsuffix}$ (sizes(1), sizes(2)))\n CALL block_buffer_get_next_block_${dsuffix}$ (buffer, ndata, index, data_${dsuffix}$, advance_iter=advance_iter)\n CALL dbcsr_data_set_pointer(block, data_${dsuffix}$)\n ELSE\n CALL block_buffer_get_next_block_${dsuffix}$ (buffer, ndata, index, advance_iter=advance_iter)\n END IF\n #:endfor\n END SELECT\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE block_buffer_add_block_${dsuffix}$ (buffer, index, block, transposed)\n !! insert a block into block buffer (at current iterator position)\n\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n INTEGER(KIND=int_8), DIMENSION(2), &\n INTENT(IN) :: index\n !! index of block\n ${dtype}$, DIMENSION(:, :), INTENT(IN) :: block\n !! block\n LOGICAL, INTENT(IN), OPTIONAL :: transposed\n INTEGER(KIND=int_8), DIMENSION(2) :: index_prv\n\n LOGICAL :: tr\n INTEGER :: p\n INTEGER :: ndata\n INTEGER :: p_data\n\n IF (PRESENT(transposed)) THEN\n tr = transposed\n ELSE\n tr = .FALSE.\n END IF\n\n index_prv(:) = index(:)\n IF (tr) THEN\n CALL swap(index_prv)\n END IF\n ndata = PRODUCT(SHAPE(block))\n\n DBCSR_ASSERT(buffer%data_type .EQ. ${dparam}$)\n p = buffer%endpos\n IF (p .EQ. 0) THEN\n p_data = 0\n ELSE\n p_data = INT(buffer%indx(p, 3))\n END IF\n\n IF (tr) THEN\n buffer%msg_${dsuffix}$ (p_data + 1:p_data + ndata) = RESHAPE(TRANSPOSE(block), [ndata])\n ELSE\n buffer%msg_${dsuffix}$ (p_data + 1:p_data + ndata) = RESHAPE(block, [ndata])\n END IF\n\n buffer%indx(p + 1, 1:2) = index_prv(:)\n IF (p > 0) THEN\n buffer%indx(p + 1, 3) = buffer%indx(p, 3) + INT(ndata, KIND=int_8)\n ELSE\n buffer%indx(p + 1, 3) = INT(ndata, KIND=int_8)\n END IF\n buffer%endpos = buffer%endpos + 1\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE block_buffer_get_next_block_${dsuffix}$ (buffer, ndata, index, block, advance_iter)\n !! get next block from buffer. Iterator is advanced only if block is retrieved or advance_iter.\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n INTEGER, INTENT(OUT) :: ndata\n INTEGER(KIND=int_8), DIMENSION(2), &\n INTENT(OUT) :: index\n ${dtype}$, DIMENSION(:, :), INTENT(OUT), OPTIONAL :: block\n LOGICAL, INTENT(IN), OPTIONAL :: advance_iter\n INTEGER :: p, p_data\n LOGICAL :: do_advance\n\n do_advance = .FALSE.\n IF (PRESENT(advance_iter)) THEN\n do_advance = advance_iter\n ELSE IF (PRESENT(block)) THEN\n do_advance = .TRUE.\n END IF\n\n DBCSR_ASSERT(buffer%data_type .EQ. ${dparam}$)\n\n p = buffer%endpos\n IF (p .EQ. 0) THEN\n p_data = 0\n ELSE\n p_data = INT(buffer%indx(p, 3))\n END IF\n\n IF (p > 0) THEN\n ndata = INT(buffer%indx(p + 1, 3) - buffer%indx(p, 3))\n ELSE\n ndata = INT(buffer%indx(p + 1, 3))\n END IF\n index(:) = buffer%indx(p + 1, 1:2)\n\n IF (PRESENT(block)) THEN\n block(:, :) = RESHAPE(buffer%msg_${dsuffix}$ (p_data + 1:p_data + ndata), SHAPE(block))\n END IF\n\n IF (do_advance) buffer%endpos = buffer%endpos + 1\n END SUBROUTINE\n #:endfor\n\n SUBROUTINE dbcsr_tas_communicate_buffer(mp_comm, buffer_recv, buffer_send, req_array)\n !! communicate buffer\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n TYPE(block_buffer_type), DIMENSION(0:), INTENT(INOUT) :: buffer_recv, buffer_send\n TYPE(mp_request_type), DIMENSION(:, :), INTENT(OUT) :: req_array\n\n INTEGER :: iproc, mynode, numnodes, rec_counter, &\n send_counter\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_communicate_buffer'\n\n CALL timeset(routineN, handle)\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n IF (numnodes > 1) THEN\n\n send_counter = 0\n rec_counter = 0\n\n DO iproc = 0, numnodes - 1\n IF (buffer_recv(iproc)%nblock > 0) THEN\n rec_counter = rec_counter + 1\n CALL mp_irecv(buffer_recv(iproc)%indx, iproc, mp_comm, req_array(rec_counter, 3), tag=4)\n SELECT CASE (buffer_recv(iproc)%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL mp_irecv(buffer_recv(iproc)%msg_${dsuffix}$, iproc, mp_comm, req_array(rec_counter, 4), tag=7)\n #:endfor\n END SELECT\n END IF\n END DO\n\n DO iproc = 0, numnodes - 1\n IF (buffer_send(iproc)%nblock > 0) THEN\n send_counter = send_counter + 1\n CALL mp_isend(buffer_send(iproc)%indx, iproc, mp_comm, req_array(send_counter, 1), tag=4)\n SELECT CASE (buffer_recv(iproc)%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL mp_isend(buffer_send(iproc)%msg_${dsuffix}$, iproc, mp_comm, req_array(send_counter, 2), tag=7)\n #:endfor\n END SELECT\n END IF\n END DO\n\n IF (send_counter > 0) THEN\n CALL mp_waitall(req_array(1:send_counter, 1:2))\n END IF\n IF (rec_counter > 0) THEN\n CALL mp_waitall(req_array(1:rec_counter, 3:4))\n END IF\n\n ELSE\n IF (buffer_recv(0)%nblock > 0) THEN\n buffer_recv(0)%indx(:, :) = buffer_send(0)%indx(:, :)\n SELECT CASE (buffer_recv(0)%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n buffer_recv(0)%msg_${dsuffix}$ (:) = buffer_send(0)%msg_${dsuffix}$ (:)\n #:endfor\n END SELECT\n END IF\n END IF\n CALL timestop(handle)\n END SUBROUTINE\n\nEND MODULE\n" }, { "path": "src/tas/dbcsr_tas_split.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_split\n !! methods to split tall-and-skinny matrices along longest dimension.\n !! Basically, we are splitting process grid and each subgrid holds its own DBCSR matrix.\n\n USE dbcsr_tas_types, ONLY: &\n dbcsr_tas_distribution_type, dbcsr_tas_split_info\n USE dbcsr_tas_global, ONLY: &\n dbcsr_tas_distribution\n USE dbcsr_tas_util, ONLY: &\n swap\n USE dbcsr_toollib, ONLY: &\n sort\n USE dbcsr_kinds, ONLY: &\n int_8\n USE dbcsr_mpiwrap, ONLY: &\n mp_bcast, mp_cart_create, mp_comm_dup, mp_comm_free, mp_comm_split_direct, mp_dims_create, mp_environ, mp_comm_type\n USE dbcsr_kinds, ONLY: &\n real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n PUBLIC :: &\n block_index_global_to_local, &\n block_index_local_to_global, &\n colsplit, &\n dbcsr_tas_get_split_info, &\n dbcsr_tas_info_hold, &\n dbcsr_tas_mp_comm, &\n dbcsr_tas_mp_dims, &\n dbcsr_tas_release_info, &\n dbcsr_tas_create_split, &\n dbcsr_tas_create_split_rows_or_cols, &\n dbcsr_tas_set_strict_split, &\n group_to_mrowcol, &\n group_to_world_proc_map, &\n rowsplit, &\n world_to_group_proc_map, &\n accept_pgrid_dims, &\n default_nsplit_accept_ratio, &\n default_pdims_accept_ratio\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tas_split'\n\n INTEGER, PARAMETER :: rowsplit = 1, colsplit = 2\n REAL(real_8), PARAMETER :: default_pdims_accept_ratio = 1.2_real_8\n REAL(real_8), PARAMETER :: default_nsplit_accept_ratio = 3.0_real_8\n\n INTERFACE dbcsr_tas_mp_comm\n MODULE PROCEDURE dbcsr_tas_mp_comm\n MODULE PROCEDURE dbcsr_tas_mp_comm_from_matrix_sizes\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE dbcsr_tas_create_split_rows_or_cols(split_info, mp_comm, ngroup, igroup, split_rowcol, own_comm)\n !! split mpi grid by rows or columns\n\n TYPE(dbcsr_tas_split_info), INTENT(OUT) :: split_info\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n !! global mpi communicator with a 2d cartesian grid\n INTEGER, INTENT(INOUT) :: ngroup\n !! number of groups\n INTEGER, INTENT(IN) :: igroup, split_rowcol\n !! my group ID\n !! split rows or columns\n LOGICAL, INTENT(IN), OPTIONAL :: own_comm\n !! Whether split_info should own communicator\n\n INTEGER :: &\n igroup_check, iproc, iproc_group, iproc_group_check, numproc, &\n numproc_group, numproc_group_check, handle\n INTEGER, DIMENSION(2) :: pcoord, pcoord_group, pdims, pdims_group\n LOGICAL :: to_assert, own_comm_prv\n TYPE(mp_comm_type) :: mp_comm_group\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_create_split_rows_or_cols'\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(own_comm)) THEN\n own_comm_prv = own_comm\n ELSE\n own_comm_prv = .FALSE.\n END IF\n\n IF (own_comm_prv) THEN\n split_info%mp_comm = mp_comm\n ELSE\n CALL mp_comm_dup(mp_comm, split_info%mp_comm)\n END IF\n\n split_info%igroup = igroup\n split_info%split_rowcol = split_rowcol\n\n CALL mp_comm_split_direct(mp_comm, mp_comm_group, igroup)\n\n CALL mp_environ(numproc, iproc, mp_comm)\n CALL mp_environ(numproc, pdims, pcoord, mp_comm)\n split_info%pdims = pdims\n\n CALL mp_environ(numproc_group, iproc_group, mp_comm_group)\n\n IF (iproc == 0) THEN\n to_assert = MOD(numproc_group, pdims(MOD(split_rowcol, 2) + 1)) == 0\n DBCSR_ASSERT(to_assert)\n split_info%pgrid_split_size = numproc_group/pdims(MOD(split_rowcol, 2) + 1)\n END IF\n CALL mp_bcast(split_info%pgrid_split_size, 0, split_info%mp_comm)\n\n ngroup = (pdims(split_rowcol) + split_info%pgrid_split_size - 1)/split_info%pgrid_split_size\n split_info%ngroup = ngroup\n split_info%group_size = split_info%pgrid_split_size*pdims(MOD(split_rowcol, 2) + 1)\n\n CALL world_to_group_proc_map(iproc, pdims, split_rowcol, split_info%pgrid_split_size, igroup_check, pdims_group, iproc_group)\n\n IF (igroup_check .NE. split_info%igroup) THEN\n DBCSR_ABORT('inconsistent subgroups')\n END IF\n\n CALL mp_cart_create(mp_comm_group, 2, pdims_group, pcoord_group, split_info%mp_comm_group)\n\n CALL mp_environ(numproc_group_check, iproc_group_check, split_info%mp_comm_group)\n\n DBCSR_ASSERT(iproc_group_check .EQ. iproc_group)\n\n CALL mp_comm_free(mp_comm_group)\n\n ALLOCATE (split_info%refcount)\n split_info%refcount = 1\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n FUNCTION dbcsr_tas_mp_comm(mp_comm, split_rowcol, nsplit)\n !! Create default cartesian process grid that is consistent with default split heuristic\n !! of dbcsr_tas_create_split\n !! \\return new communicator\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n INTEGER, INTENT(IN) :: split_rowcol\n INTEGER, INTENT(IN) :: nsplit\n TYPE(mp_comm_type) :: dbcsr_tas_mp_comm\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_mp_comm'\n\n INTEGER :: handle, iproc, numproc\n INTEGER, DIMENSION(2) :: myploc, npdims\n\n CALL timeset(routineN, handle)\n\n CALL mp_environ(numproc, iproc, mp_comm)\n\n npdims = dbcsr_tas_mp_dims(numproc, split_rowcol, nsplit)\n\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, dbcsr_tas_mp_comm)\n\n CALL timestop(handle)\n END FUNCTION\n\n FUNCTION dbcsr_tas_mp_dims(numproc, split_rowcol, nsplit)\n !! Get optimal process grid dimensions consistent with dbcsr_tas_create_split\n INTEGER, INTENT(IN) :: numproc\n INTEGER, INTENT(IN) :: split_rowcol\n INTEGER, INTENT(IN) :: nsplit\n INTEGER, DIMENSION(2) :: dbcsr_tas_mp_dims\n\n INTEGER :: nsplit_opt\n INTEGER :: group_size\n INTEGER, DIMENSION(2) :: group_dims\n\n nsplit_opt = get_opt_nsplit(numproc, nsplit, split_pgrid=.FALSE.)\n\n group_size = numproc/nsplit_opt\n group_dims(:) = 0\n\n CALL mp_dims_create(group_size, group_dims)\n\n ! here we choose order of group dims s.t. a split factor < nsplit_opt is favoured w.r.t.\n ! optimal subgrid dimensions\n SELECT CASE (split_rowcol)\n CASE (rowsplit)\n group_dims = [MINVAL(group_dims), MAXVAL(group_dims)]\n CASE (colsplit)\n group_dims = [MAXVAL(group_dims), MINVAL(group_dims)]\n END SELECT\n\n SELECT CASE (split_rowcol)\n CASE (rowsplit)\n dbcsr_tas_mp_dims(:) = [group_dims(1)*nsplit_opt, group_dims(2)]\n CASE (colsplit)\n dbcsr_tas_mp_dims(:) = [group_dims(1), group_dims(2)*nsplit_opt]\n END SELECT\n\n END FUNCTION\n\n FUNCTION get_opt_nsplit(numproc, nsplit, split_pgrid, pdim_nonsplit)\n !! Heuristic to get good split factor for a given process grid OR a given number of processes\n !! \\return split factor consistent with process grid or number of processes\n\n INTEGER, INTENT(IN) :: numproc, nsplit\n !! total number of processes or (if split_pgrid) process grid dimension to split\n !! Desired split factor\n LOGICAL, INTENT(IN) :: split_pgrid\n !! whether to split process grid\n INTEGER, INTENT(IN), OPTIONAL :: pdim_nonsplit\n !! if split_pgrid: other process grid dimension\n INTEGER, ALLOCATABLE, DIMENSION(:) :: nsplit_list, nsplit_list_square, nsplit_list_accept\n INTEGER :: lb, ub, count, count_square, count_accept, split, &\n minpos, get_opt_nsplit\n INTEGER, DIMENSION(2) :: dims_sub\n\n DBCSR_ASSERT(nsplit > 0)\n\n IF (split_pgrid) THEN\n DBCSR_ASSERT(PRESENT(pdim_nonsplit))\n END IF\n\n lb = CEILING(REAL(nsplit, real_8)/default_nsplit_accept_ratio)\n ub = FLOOR(REAL(nsplit, real_8)*default_nsplit_accept_ratio)\n\n IF (ub < lb) ub = lb\n\n ALLOCATE (nsplit_list(1:ub - lb + 1), nsplit_list_square(1:ub - lb + 1), nsplit_list_accept(1:ub - lb + 1))\n count = 0\n count_square = 0\n count_accept = 0\n DO split = lb, ub\n IF (MOD(numproc, split) == 0) THEN\n count = count + 1\n nsplit_list(count) = split\n\n dims_sub = 0\n IF (.NOT. split_pgrid) THEN\n CALL mp_dims_create(numproc/split, dims_sub)\n ELSE\n dims_sub = [numproc/split, pdim_nonsplit]\n END IF\n\n IF (dims_sub(1) == dims_sub(2)) THEN\n count_square = count_square + 1\n nsplit_list_square(count_square) = split\n count_accept = count_accept + 1\n nsplit_list_accept(count_accept) = split\n ELSEIF (accept_pgrid_dims(dims_sub, relative=.FALSE.)) THEN\n count_accept = count_accept + 1\n nsplit_list_accept(count_accept) = split\n END IF\n\n END IF\n END DO\n\n IF (count_square > 0) THEN\n minpos = MINLOC(ABS(nsplit_list_square(1:count_square) - nsplit), DIM=1)\n get_opt_nsplit = nsplit_list_square(minpos)\n ELSEIF (count_accept > 0) THEN\n minpos = MINLOC(ABS(nsplit_list_accept(1:count_accept) - nsplit), DIM=1)\n get_opt_nsplit = nsplit_list_accept(minpos)\n ELSEIF (count > 0) THEN\n minpos = MINLOC(ABS(nsplit_list(1:count) - nsplit), DIM=1)\n get_opt_nsplit = nsplit_list(minpos)\n ELSE\n get_opt_nsplit = nsplit\n DO WHILE (MOD(numproc, get_opt_nsplit) .NE. 0)\n get_opt_nsplit = get_opt_nsplit - 1\n END DO\n END IF\n\n END FUNCTION\n\n FUNCTION dbcsr_tas_mp_comm_from_matrix_sizes(mp_comm, nblkrows, nblkcols) RESULT(mp_comm_new)\n !! Derive optimal cartesian process grid from matrix sizes. This ensures optimality for\n !! dense matrices only\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n INTEGER(KIND=int_8), INTENT(IN) :: nblkrows, nblkcols\n !! total number of block rows\n !! total number of block columns\n INTEGER :: nsplit, split_rowcol\n TYPE(mp_comm_type) :: mp_comm_new\n !! MPI communicator\n\n IF (nblkrows >= nblkcols) THEN\n split_rowcol = rowsplit\n nsplit = INT((nblkrows - 1)/nblkcols + 1)\n ELSE\n split_rowcol = colsplit\n nsplit = INT((nblkcols - 1)/nblkrows + 1)\n END IF\n\n mp_comm_new = dbcsr_tas_mp_comm(mp_comm, split_rowcol, nsplit)\n END FUNCTION\n\n SUBROUTINE dbcsr_tas_create_split(split_info, mp_comm, split_rowcol, nsplit, own_comm, opt_nsplit)\n !! Split Cartesian process grid using a default split heuristic.\n\n TYPE(dbcsr_tas_split_info), INTENT(OUT) :: split_info\n !! object storing all data corresponding to split, submatrices and parallelization\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n !! MPI communicator with associated cartesian grid\n INTEGER, INTENT(IN) :: split_rowcol\n !! split rows or columns\n INTEGER, INTENT(IN) :: nsplit\n !! desired split factor, set to 0 if split factor of exactly 1 is required\n LOGICAL, INTENT(IN), OPTIONAL :: own_comm\n !! whether split_info should own communicator\n LOGICAL, INTENT(IN), OPTIONAL :: opt_nsplit\n !! whether nsplit should be optimized to process grid\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_create_split'\n\n INTEGER :: &\n handle, iproc, numproc, igroup, nsplit_opt, pdim_split, pdim_nonsplit\n INTEGER, DIMENSION(2) :: pcoord, pdims, pdims_group\n LOGICAL :: opt_nsplit_prv\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(opt_nsplit)) THEN\n opt_nsplit_prv = opt_nsplit\n ELSE\n opt_nsplit_prv = .TRUE.\n END IF\n\n DBCSR_ASSERT(nsplit > 0)\n\n CALL mp_environ(numproc, iproc, mp_comm)\n CALL mp_environ(numproc, pdims, pcoord, mp_comm)\n\n SELECT CASE (split_rowcol)\n CASE (rowsplit)\n pdim_split = pdims(1)\n pdim_nonsplit = pdims(2)\n CASE (colsplit)\n pdim_split = pdims(2)\n pdim_nonsplit = pdims(1)\n END SELECT\n\n IF (opt_nsplit_prv) THEN\n nsplit_opt = get_opt_nsplit(pdim_split, nsplit, split_pgrid=.TRUE., pdim_nonsplit=pdim_nonsplit)\n ELSE\n IF (MOD(pdims(split_rowcol), nsplit) .NE. 0) THEN\n DBCSR_ABORT(\"Split factor does not divide process grid dimension\")\n END IF\n nsplit_opt = nsplit\n END IF\n\n pdims_group = pdims\n pdims_group(split_rowcol) = pdims_group(split_rowcol)/nsplit_opt\n\n igroup = pcoord(split_rowcol)/pdims_group(split_rowcol)\n\n CALL dbcsr_tas_create_split_rows_or_cols(split_info, mp_comm, nsplit_opt, igroup, split_rowcol, own_comm=own_comm)\n\n IF (nsplit > 0) THEN\n ALLOCATE (split_info%ngroup_opt, SOURCE=nsplit)\n END IF\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n FUNCTION accept_pgrid_dims(dims, relative)\n !! Whether to accept proposed process grid dimensions (based on ratio of dimensions)\n INTEGER, DIMENSION(2), INTENT(IN) :: dims\n LOGICAL, INTENT(IN) :: relative\n INTEGER, DIMENSION(2) :: dims_opt\n LOGICAL :: accept_pgrid_dims\n\n IF (relative) THEN\n dims_opt = 0\n CALL mp_dims_create(PRODUCT(dims), dims_opt)\n accept_pgrid_dims = (MAXVAL(REAL(dims, real_8))/MAXVAL(dims_opt) .LT. default_pdims_accept_ratio)\n ELSE\n accept_pgrid_dims = (MAXVAL(REAL(dims, real_8))/MINVAL(dims) .LT. default_pdims_accept_ratio**2)\n END IF\n END FUNCTION\n\n SUBROUTINE dbcsr_tas_get_split_info(info, mp_comm, nsplit, igroup, mp_comm_group, split_rowcol, pgrid_offset)\n !! Get info on split\n\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: info\n TYPE(mp_comm_type), INTENT(OUT), OPTIONAL :: mp_comm, mp_comm_group\n INTEGER, INTENT(OUT), OPTIONAL :: nsplit, igroup, &\n split_rowcol\n !! communicator (global process grid)\n !! split factor\n !! which group do I belong to\n !! subgroup communicator (group-local process grid)\n !! split rows or columns\n INTEGER, DIMENSION(2), INTENT(OUT), OPTIONAL :: pgrid_offset\n !! group-local offset in process grid\n\n IF (PRESENT(mp_comm)) mp_comm = info%mp_comm\n IF (PRESENT(mp_comm_group)) mp_comm_group = info%mp_comm_group\n IF (PRESENT(split_rowcol)) split_rowcol = info%split_rowcol\n IF (PRESENT(igroup)) igroup = info%igroup\n IF (PRESENT(nsplit)) nsplit = info%ngroup\n\n IF (PRESENT(pgrid_offset)) THEN\n SELECT CASE (info%split_rowcol)\n CASE (rowsplit)\n pgrid_offset(:) = [info%igroup*info%pgrid_split_size, 0]\n CASE (colsplit)\n pgrid_offset(:) = [0, info%igroup*info%pgrid_split_size]\n END SELECT\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_release_info(split_info)\n TYPE(dbcsr_tas_split_info), INTENT(INOUT) :: split_info\n LOGICAL :: abort\n\n abort = .FALSE.\n\n IF (.NOT. ASSOCIATED(split_info%refcount)) THEN\n abort = .TRUE.\n ELSEIF (split_info%refcount < 1) THEN\n abort = .TRUE.\n END IF\n\n IF (abort) THEN\n DBCSR_ABORT(\"can not destroy non-existing split_info\")\n END IF\n\n split_info%refcount = split_info%refcount - 1\n\n IF (split_info%refcount == 0) THEN\n CALL mp_comm_free(split_info%mp_comm_group)\n CALL mp_comm_free(split_info%mp_comm)\n DEALLOCATE (split_info%refcount)\n END IF\n\n split_info%pdims = 0\n\n IF (ALLOCATED(split_info%ngroup_opt)) DEALLOCATE (split_info%ngroup_opt)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_info_hold(split_info)\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: split_info\n\n INTEGER, POINTER :: ref\n\n IF (split_info%refcount < 1) THEN\n DBCSR_ABORT(\"can not hold non-existing split_info\")\n END IF\n ref => split_info%refcount\n ref = ref + 1\n END SUBROUTINE\n\n SUBROUTINE world_to_group_proc_map(iproc, pdims, split_rowcol, pgrid_split_size, igroup, &\n pdims_group, iproc_group)\n !! map global process info to group\n\n INTEGER, INTENT(IN) :: iproc\n !! global process ID\n INTEGER, DIMENSION(2), INTENT(IN) :: pdims\n !! global process dimensions\n INTEGER, INTENT(IN) :: split_rowcol, pgrid_split_size\n !! split rows or column\n !! how many process rows/cols per group\n INTEGER, INTENT(OUT) :: igroup\n !! group ID\n INTEGER, DIMENSION(2), INTENT(OUT), OPTIONAL :: pdims_group\n !! local process grid dimensions\n INTEGER, INTENT(OUT), OPTIONAL :: iproc_group\n !! group local process ID\n\n INTEGER, DIMENSION(2) :: pcoord, pcoord_group\n\n IF (PRESENT(iproc_group)) THEN\n DBCSR_ASSERT(PRESENT(pdims_group))\n END IF\n\n pcoord = [iproc/pdims(2), MOD(iproc, pdims(2))]\n\n igroup = pcoord(split_rowcol)/pgrid_split_size\n\n SELECT CASE (split_rowcol)\n CASE (rowsplit)\n IF (PRESENT(pdims_group)) pdims_group = [pgrid_split_size, pdims(2)]\n IF (PRESENT(iproc_group)) pcoord_group = [MOD(pcoord(1), pgrid_split_size), pcoord(2)]\n CASE (colsplit)\n IF (PRESENT(pdims_group)) pdims_group = [pdims(1), pgrid_split_size]\n IF (PRESENT(iproc_group)) pcoord_group = [pcoord(1), MOD(pcoord(2), pgrid_split_size)]\n END SELECT\n IF (PRESENT(iproc_group)) iproc_group = pcoord_group(1)*pdims_group(2) + pcoord_group(2)\n END SUBROUTINE\n\n SUBROUTINE group_to_world_proc_map(iproc, pdims, split_rowcol, pgrid_split_size, &\n igroup, iproc_group)\n !! map local process info to global info\n\n INTEGER, INTENT(OUT) :: iproc\n !! global process id\n INTEGER, DIMENSION(2), INTENT(IN) :: pdims\n !! global process grid dimensions\n INTEGER, INTENT(IN) :: split_rowcol, pgrid_split_size, &\n igroup, iproc_group\n !! split rows or column\n !! how many process rows/cols per group\n !! group ID\n !! local process ID\n\n INTEGER, DIMENSION(2) :: pcoord, pcoord_group, pdims_group\n\n SELECT CASE (split_rowcol)\n CASE (rowsplit)\n pdims_group = [pgrid_split_size, pdims(2)]\n CASE (colsplit)\n pdims_group = [pdims(1), pgrid_split_size]\n END SELECT\n\n pcoord_group = [iproc_group/pdims_group(2), MOD(iproc_group, pdims_group(2))]\n\n SELECT CASE (split_rowcol)\n CASE (rowsplit)\n pcoord = [igroup*pgrid_split_size + pcoord_group(1), pcoord_group(2)]\n CASE (colsplit)\n pcoord = [pcoord_group(1), igroup*pgrid_split_size + pcoord_group(2)]\n END SELECT\n iproc = pcoord(1)*pdims(2) + pcoord(2)\n END SUBROUTINE\n\n SUBROUTINE block_index_local_to_global(info, dist, row_group, column_group, &\n row, column)\n !! map group local block index to global matrix index\n\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: info\n TYPE(dbcsr_tas_distribution_type), INTENT(IN) :: dist\n INTEGER, INTENT(IN), OPTIONAL :: row_group, column_group\n !! group local row block index\n !! group local column block index\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: row, column\n !! global block row\n !! global block column\n\n SELECT CASE (info%split_rowcol)\n CASE (rowsplit)\n ASSOCIATE (rows => dist%local_rowcols)\n IF (PRESENT(row)) row = rows(row_group)\n IF (PRESENT(column)) column = column_group\n END ASSOCIATE\n CASE (colsplit)\n ASSOCIATE (cols => dist%local_rowcols)\n IF (PRESENT(row)) row = row_group\n IF (PRESENT(column)) column = cols(column_group)\n END ASSOCIATE\n END SELECT\n END SUBROUTINE\n\n SUBROUTINE block_index_global_to_local(info, dist, row, column, row_group, column_group)\n !! map global block index to group local index\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: info\n TYPE(dbcsr_tas_distribution_type), INTENT(IN) :: dist\n INTEGER(KIND=int_8), INTENT(IN), OPTIONAL :: row, column\n INTEGER, INTENT(OUT), OPTIONAL :: row_group, column_group\n\n SELECT CASE (info%split_rowcol)\n CASE (rowsplit)\n IF (PRESENT(row_group)) row_group = i8_bsearch(dist%local_rowcols, row)\n IF (PRESENT(column_group)) column_group = INT(column)\n CASE (colsplit)\n IF (PRESENT(row_group)) row_group = INT(row)\n IF (PRESENT(column_group)) column_group = i8_bsearch(dist%local_rowcols, column)\n END SELECT\n\n END SUBROUTINE\n\n FUNCTION i8_bsearch(array, el, l_index, u_index) result(res)\n !! binary search for 8-byte integers\n INTEGER(KIND=int_8), intent(in) :: array(:)\n INTEGER(KIND=int_8), intent(in) :: el\n INTEGER, INTENT(in), OPTIONAL :: l_index, u_index\n INTEGER :: res, lindex, uindex, aindex\n\n lindex = 1\n uindex = size(array)\n if (present(l_index)) lindex = l_index\n if (present(u_index)) uindex = u_index\n DO WHILE (lindex <= uindex)\n aindex = (lindex + uindex)/2\n IF (array(aindex) < el) THEN\n lindex = aindex + 1\n ELSE\n uindex = aindex - 1\n END IF\n END DO\n res = lindex\n END FUNCTION\n\n SUBROUTINE group_to_mrowcol(info, rowcol_dist, igroup, rowcols)\n !! maps a process subgroup to matrix rows/columns\n\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: info\n CLASS(dbcsr_tas_distribution), INTENT(IN) :: rowcol_dist\n INTEGER, INTENT(IN) :: igroup\n !! group ID\n INTEGER(KIND=int_8), DIMENSION(:), ALLOCATABLE, INTENT(OUT) :: rowcols\n !! rows/ columns on this group\n INTEGER, DIMENSION(0:info%pgrid_split_size - 1) :: nrowcols_group\n INTEGER :: pcoord, nrowcols, count, pcoord_group\n INTEGER, DIMENSION(:), ALLOCATABLE :: sort_indices\n\n nrowcols_group(:) = 0\n DO pcoord = igroup*info%pgrid_split_size, (igroup + 1)*info%pgrid_split_size - 1\n pcoord_group = pcoord - igroup*info%pgrid_split_size\n nrowcols_group(pcoord_group) = SIZE(rowcol_dist%rowcols(pcoord))\n END DO\n nrowcols = SUM(nrowcols_group)\n\n ALLOCATE (rowcols(nrowcols))\n\n count = 0\n DO pcoord = igroup*info%pgrid_split_size, (igroup + 1)*info%pgrid_split_size - 1\n pcoord_group = pcoord - igroup*info%pgrid_split_size\n rowcols(count + 1:count + nrowcols_group(pcoord_group)) = rowcol_dist%rowcols(pcoord)\n count = count + nrowcols_group(pcoord_group)\n END DO\n\n ALLOCATE (sort_indices(nrowcols))\n CALL sort(rowcols, nrowcols, sort_indices)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_set_strict_split(info)\n !! freeze current split factor such that it is never changed during multiplication\n TYPE(dbcsr_tas_split_info), INTENT(INOUT) :: info\n info%strict_split = [.TRUE., .TRUE.]\n END SUBROUTINE\n\nEND MODULE\n" }, { "path": "src/tas/dbcsr_tas_test.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_test\n\n !! testing infrastructure for tall-and-skinny matrices\n USE dbcsr_types, ONLY: dbcsr_type_real_8\n USE dbcsr_data_methods, ONLY: dbcsr_scalar\n USE dbcsr_methods, ONLY: &\n dbcsr_release, dbcsr_nblkcols_total, dbcsr_nblkrows_total, dbcsr_row_block_sizes, dbcsr_col_block_sizes, &\n dbcsr_mp_release, dbcsr_distribution_release\n USE dbcsr_multiply_api, ONLY: dbcsr_multiply\n USE dbcsr_tas_base, ONLY: &\n dbcsr_tas_convert_to_dbcsr, dbcsr_tas_create, dbcsr_tas_distribution_new, &\n dbcsr_tas_finalize, dbcsr_tas_get_stored_coordinates, dbcsr_tas_nblkcols_total, &\n dbcsr_tas_nblkrows_total, dbcsr_tas_put_block, dbcsr_tas_info\n USE dbcsr_tas_types, ONLY: dbcsr_tas_distribution_type, &\n dbcsr_tas_type\n USE dbcsr_tas_global, ONLY: dbcsr_tas_blk_size_arb, &\n dbcsr_tas_dist_cyclic, &\n dbcsr_tas_default_distvec\n USE dbcsr_tas_mm, ONLY: dbcsr_tas_multiply\n USE dbcsr_tas_split, ONLY: dbcsr_tas_mp_comm, &\n dbcsr_tas_get_split_info\n USE dbcsr_tas_util, ONLY: dbcsr_mp_environ, &\n invert_transpose_flag\n USE dbcsr_types, ONLY: &\n dbcsr_type, dbcsr_distribution_obj, dbcsr_mp_obj, dbcsr_no_transpose, dbcsr_transpose, &\n dbcsr_type_no_symmetry\n USE dbcsr_kinds, ONLY: int_8, &\n real_8\n USE dbcsr_mpiwrap, ONLY: mp_environ, &\n mp_cart_create, &\n mp_comm_free, mp_comm_type\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_new\n USE dbcsr_work_operations, ONLY: dbcsr_create, &\n dbcsr_finalize\n USE dbcsr_dist_util, ONLY: dbcsr_checksum\n USE dbcsr_operations, ONLY: dbcsr_maxabs, &\n dbcsr_add\n USE dbcsr_transformations, ONLY: dbcsr_complete_redistribute\n USE dbcsr_blas_operations, ONLY: &\n set_larnv_seed\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n PUBLIC :: &\n dbcsr_tas_benchmark_mm, &\n dbcsr_tas_checksum, &\n dbcsr_tas_random_bsizes, &\n dbcsr_tas_setup_test_matrix, &\n dbcsr_tas_test_mm, &\n dbcsr_tas_reset_randmat_seed\n\n INTEGER, SAVE :: randmat_counter = 0\n INTEGER, PARAMETER, PRIVATE :: rand_seed_init = 12341313\n\nCONTAINS\n SUBROUTINE dbcsr_tas_setup_test_matrix(matrix, mp_comm_out, mp_comm, nrows, ncols, rbsizes, cbsizes, &\n !! Setup tall-and-skinny matrix for testing\n dist_splitsize, name, sparsity, reuse_comm)\n\n TYPE(dbcsr_tas_type), INTENT(OUT) :: matrix\n TYPE(mp_comm_type), INTENT(OUT) :: mp_comm_out\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n INTEGER(KIND=int_8), INTENT(IN) :: nrows, ncols\n INTEGER, DIMENSION(nrows), INTENT(IN) :: rbsizes\n INTEGER, DIMENSION(ncols), INTENT(IN) :: cbsizes\n INTEGER, DIMENSION(2), INTENT(IN) :: dist_splitsize\n CHARACTER(len=*), INTENT(IN) :: name\n REAL(KIND=real_8), INTENT(IN) :: sparsity\n LOGICAL, INTENT(IN), OPTIONAL :: reuse_comm\n\n INTEGER :: col_size, max_col_size, max_nze, &\n max_row_size, mynode, node_holds_blk, &\n numnodes, nze, row_size\n INTEGER(KIND=int_8) :: col, col_s, row, row_s, nrow, ncol\n INTEGER, DIMENSION(2) :: pcoord, pdims\n LOGICAL :: reuse_comm_prv, tr\n REAL(KIND=real_8), DIMENSION(1) :: rn\n REAL(KIND=real_8), ALLOCATABLE, DIMENSION(:, :) :: values\n TYPE(dbcsr_tas_blk_size_arb) :: cbsize_obj, rbsize_obj\n TYPE(dbcsr_tas_dist_cyclic) :: col_dist_obj, row_dist_obj\n TYPE(dbcsr_tas_distribution_type) :: dist\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_tas_setup_test_matrix'\n INTEGER :: handle\n INTEGER, DIMENSION(4) :: iseed, jseed\n\n ! we don't reserve blocks prior to putting them, so this time is meaningless and should not\n ! be considered in benchmark!\n CALL timeset(routineN, handle)\n\n ! Check that the counter was initialised (or has not overflowed)\n DBCSR_ASSERT(randmat_counter .NE. 0)\n ! the counter goes into the seed. Every new call gives a new random matrix\n randmat_counter = randmat_counter + 1\n\n IF (PRESENT(reuse_comm)) THEN\n reuse_comm_prv = reuse_comm\n ELSE\n reuse_comm_prv = .FALSE.\n END IF\n\n IF (reuse_comm_prv) THEN\n mp_comm_out = mp_comm\n ELSE\n mp_comm_out = dbcsr_tas_mp_comm(mp_comm, nrows, ncols)\n END IF\n\n CALL mp_environ(numnodes, mynode, mp_comm_out)\n CALL mp_environ(numnodes, pdims, pcoord, mp_comm_out)\n\n row_dist_obj = dbcsr_tas_dist_cyclic(dist_splitsize(1), pdims(1), nrows)\n col_dist_obj = dbcsr_tas_dist_cyclic(dist_splitsize(2), pdims(2), ncols)\n\n rbsize_obj = dbcsr_tas_blk_size_arb(rbsizes)\n cbsize_obj = dbcsr_tas_blk_size_arb(cbsizes)\n\n CALL dbcsr_tas_distribution_new(dist, mp_comm_out, row_dist_obj, col_dist_obj)\n CALL dbcsr_tas_create(matrix, name, dist=dist, data_type=dbcsr_type_real_8, &\n row_blk_size=rbsize_obj, col_blk_size=cbsize_obj, own_dist=.TRUE.)\n\n max_row_size = MAXVAL(rbsizes)\n max_col_size = MAXVAL(cbsizes)\n max_nze = max_row_size*max_col_size\n\n nrow = dbcsr_tas_nblkrows_total(matrix)\n ncol = dbcsr_tas_nblkcols_total(matrix)\n\n ALLOCATE (values(max_row_size, max_col_size))\n\n CALL set_larnv_seed(7, 42, 3, 42, randmat_counter, jseed)\n\n DO row = 1, dbcsr_tas_nblkrows_total(matrix)\n DO col = 1, dbcsr_tas_nblkcols_total(matrix)\n CALL dlarnv(1, jseed, 1, rn)\n IF (rn(1) .LT. sparsity) THEN\n tr = .FALSE.\n row_s = row; col_s = col\n CALL dbcsr_tas_get_stored_coordinates(matrix, row_s, col_s, node_holds_blk)\n\n IF (node_holds_blk .EQ. mynode) THEN\n row_size = rbsize_obj%data(row_s)\n col_size = cbsize_obj%data(col_s)\n nze = row_size*col_size\n CALL set_larnv_seed(INT(row_s), INT(nrow), INT(col_s), INT(ncol), randmat_counter, iseed)\n CALL dlarnv(1, iseed, max_nze, values)\n CALL dbcsr_tas_put_block(matrix, row_s, col_s, values(1:row_size, 1:col_size))\n END IF\n END IF\n END DO\n END DO\n\n CALL dbcsr_tas_finalize(matrix)\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_benchmark_mm(transa, transb, transc, matrix_a, matrix_b, matrix_c, compare_dbcsr, filter_eps, io_unit)\n !! Benchmark routine. Due to random sparsity (as opposed to structured sparsity pattern), this\n !! may not be representative for actual applications.\n\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb, transc\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_a, matrix_b, matrix_c\n\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER, INTENT(IN), OPTIONAL :: io_unit\n LOGICAL, INTENT(IN) :: compare_dbcsr\n\n INTEGER :: handle1, handle2\n TYPE(dbcsr_type) :: dbcsr_a, dbcsr_b, dbcsr_c, &\n dbcsr_a_mm, dbcsr_b_mm, dbcsr_c_mm\n TYPE(mp_comm_type) :: mp_comm, comm_dbcsr\n TYPE(dbcsr_distribution_obj) :: dist_a, dist_b, dist_c\n INTEGER, DIMENSION(2) :: npdims, myploc\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: cd_a, cd_b, cd_c, &\n rd_a, rd_b, rd_c\n TYPE(dbcsr_mp_obj) :: mp_environ_tmp\n\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: row_blk_size, col_blk_size\n\n IF (PRESENT(io_unit)) THEN\n IF (io_unit > 0) THEN\n WRITE (io_unit, \"(A)\") \"starting tall-and-skinny benchmark\"\n END IF\n END IF\n CALL timeset(\"benchmark_tas_mm\", handle1)\n CALL dbcsr_tas_multiply(transa, transb, transc, dbcsr_scalar(1.0_real_8), matrix_a, matrix_b, &\n dbcsr_scalar(0.0_real_8), matrix_c, &\n filter_eps=filter_eps, unit_nr=io_unit)\n CALL timestop(handle1)\n IF (PRESENT(io_unit)) THEN\n IF (io_unit > 0) THEN\n WRITE (io_unit, \"(A)\") \"tall-and-skinny benchmark completed\"\n END IF\n END IF\n\n IF (compare_dbcsr) THEN\n CALL dbcsr_tas_convert_to_dbcsr(matrix_a, dbcsr_a)\n CALL dbcsr_tas_convert_to_dbcsr(matrix_b, dbcsr_b)\n CALL dbcsr_tas_convert_to_dbcsr(matrix_c, dbcsr_c)\n\n CALL dbcsr_tas_get_split_info(dbcsr_tas_info(matrix_a), mp_comm=mp_comm)\n npdims(:) = 0\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, comm_dbcsr)\n\n ALLOCATE (rd_a(dbcsr_nblkrows_total(dbcsr_a))); ALLOCATE (cd_a(dbcsr_nblkcols_total(dbcsr_a)))\n ALLOCATE (rd_b(dbcsr_nblkrows_total(dbcsr_b))); ALLOCATE (cd_b(dbcsr_nblkcols_total(dbcsr_b)))\n ALLOCATE (rd_c(dbcsr_nblkrows_total(dbcsr_c))); ALLOCATE (cd_c(dbcsr_nblkcols_total(dbcsr_c)))\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkrows_total(dbcsr_a)), npdims(1), dbcsr_row_block_sizes(dbcsr_a), rd_a)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkcols_total(dbcsr_a)), npdims(2), dbcsr_col_block_sizes(dbcsr_a), cd_a)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkrows_total(dbcsr_b)), npdims(1), dbcsr_row_block_sizes(dbcsr_b), rd_b)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkcols_total(dbcsr_b)), npdims(2), dbcsr_col_block_sizes(dbcsr_b), cd_b)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkrows_total(dbcsr_c)), npdims(1), dbcsr_row_block_sizes(dbcsr_c), rd_c)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkcols_total(dbcsr_c)), npdims(2), dbcsr_col_block_sizes(dbcsr_c), cd_c)\n\n mp_environ_tmp = dbcsr_mp_environ(comm_dbcsr)\n CALL dbcsr_distribution_new(dist_a, mp_environ_tmp, rd_a, cd_a, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_b, mp_environ_tmp, rd_b, cd_b, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_c, mp_environ_tmp, rd_c, cd_c, reuse_arrays=.TRUE.)\n CALL dbcsr_mp_release(mp_environ_tmp)\n\n row_blk_size => dbcsr_row_block_sizes(dbcsr_a)\n col_blk_size => dbcsr_col_block_sizes(dbcsr_a)\n CALL dbcsr_create(matrix=dbcsr_a_mm, name=dbcsr_a%name, dist=dist_a, matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_size, col_blk_size=col_blk_size, &\n data_type=dbcsr_type_real_8)\n row_blk_size => dbcsr_row_block_sizes(dbcsr_b)\n col_blk_size => dbcsr_col_block_sizes(dbcsr_b)\n CALL dbcsr_create(matrix=dbcsr_b_mm, name=dbcsr_b%name, dist=dist_b, matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_size, col_blk_size=col_blk_size, &\n data_type=dbcsr_type_real_8)\n row_blk_size => dbcsr_row_block_sizes(dbcsr_c)\n col_blk_size => dbcsr_col_block_sizes(dbcsr_c)\n CALL dbcsr_create(matrix=dbcsr_c_mm, name=dbcsr_c%name, dist=dist_c, matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_size, col_blk_size=col_blk_size, &\n data_type=dbcsr_type_real_8)\n\n CALL dbcsr_finalize(dbcsr_a_mm)\n CALL dbcsr_finalize(dbcsr_b_mm)\n CALL dbcsr_finalize(dbcsr_c_mm)\n\n CALL dbcsr_complete_redistribute(dbcsr_a, dbcsr_a_mm)\n CALL dbcsr_complete_redistribute(dbcsr_b, dbcsr_b_mm)\n IF (PRESENT(io_unit)) THEN\n IF (io_unit > 0) THEN\n WRITE (io_unit, \"(A)\") \"starting dbcsr benchmark\"\n END IF\n END IF\n CALL timeset(\"benchmark_dbcsr_mm\", handle2)\n CALL dbcsr_multiply(transa, transb, dbcsr_scalar(1.0_real_8), dbcsr_a_mm, dbcsr_b_mm, &\n dbcsr_scalar(0.0_real_8), dbcsr_c_mm, filter_eps=filter_eps)\n CALL timestop(handle2)\n IF (PRESENT(io_unit)) THEN\n IF (io_unit > 0) THEN\n WRITE (io_unit, \"(A)\") \"dbcsr benchmark completed\"\n END IF\n END IF\n\n CALL dbcsr_release(dbcsr_a)\n CALL dbcsr_release(dbcsr_b)\n CALL dbcsr_release(dbcsr_c)\n CALL dbcsr_release(dbcsr_a_mm)\n CALL dbcsr_release(dbcsr_b_mm)\n CALL dbcsr_release(dbcsr_c_mm)\n CALL dbcsr_distribution_release(dist_a)\n CALL dbcsr_distribution_release(dist_b)\n CALL dbcsr_distribution_release(dist_c)\n\n CALL mp_comm_free(comm_dbcsr)\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_test_mm(transa, transb, transc, matrix_a, matrix_b, matrix_c, filter_eps, unit_nr, log_verbose)\n !! Test tall-and-skinny matrix multiplication for accuracy\n CHARACTER(LEN=1), INTENT(IN) :: transa, transb, transc\n TYPE(dbcsr_tas_type), INTENT(INOUT) :: matrix_a, matrix_b, matrix_c\n INTEGER, INTENT(IN) :: unit_nr\n LOGICAL, INTENT(IN), OPTIONAL :: log_verbose\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n\n CHARACTER(LEN=1) :: transa_prv, transb_prv\n INTEGER :: io_unit, mynode, &\n numnodes\n INTEGER, DIMENSION(2) :: myploc, npdims\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: cd_a, cd_b, cd_c, &\n rd_a, rd_b, rd_c\n REAL(KIND=real_8) :: norm, rc_cs, sq_cs\n TYPE(dbcsr_distribution_obj) :: dist_a, dist_b, dist_c\n TYPE(dbcsr_mp_obj) :: mp_environ_tmp\n TYPE(dbcsr_type) :: dbcsr_a, dbcsr_a_mm, dbcsr_b, &\n dbcsr_b_mm, dbcsr_c, dbcsr_c_mm, &\n dbcsr_c_mm_check\n TYPE(mp_comm_type) :: comm_dbcsr, mp_comm\n REAL(KIND=real_8), PARAMETER :: test_tol = 1.0E-10_real_8\n\n CALL dbcsr_tas_get_split_info(dbcsr_tas_info(matrix_a), mp_comm=mp_comm)\n CALL mp_environ(numnodes, mynode, mp_comm)\n io_unit = -1\n IF (mynode .EQ. 0) io_unit = unit_nr\n\n CALL dbcsr_tas_multiply(transa, transb, transc, dbcsr_scalar(1.0_real_8), matrix_a, matrix_b, &\n dbcsr_scalar(0.0_real_8), matrix_c, &\n filter_eps=filter_eps, unit_nr=io_unit, log_verbose=log_verbose, optimize_dist=.TRUE.)\n\n CALL dbcsr_tas_convert_to_dbcsr(matrix_a, dbcsr_a)\n CALL dbcsr_tas_convert_to_dbcsr(matrix_b, dbcsr_b)\n CALL dbcsr_tas_convert_to_dbcsr(matrix_c, dbcsr_c)\n\n npdims(:) = 0\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, comm_dbcsr)\n\n ALLOCATE (rd_a(dbcsr_nblkrows_total(dbcsr_a))); ALLOCATE (cd_a(dbcsr_nblkcols_total(dbcsr_a)))\n ALLOCATE (rd_b(dbcsr_nblkrows_total(dbcsr_b))); ALLOCATE (cd_b(dbcsr_nblkcols_total(dbcsr_b)))\n ALLOCATE (rd_c(dbcsr_nblkrows_total(dbcsr_c))); ALLOCATE (cd_c(dbcsr_nblkcols_total(dbcsr_c)))\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkrows_total(dbcsr_a)), npdims(1), dbcsr_row_block_sizes(dbcsr_a), rd_a)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkcols_total(dbcsr_a)), npdims(2), dbcsr_col_block_sizes(dbcsr_a), cd_a)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkrows_total(dbcsr_b)), npdims(1), dbcsr_row_block_sizes(dbcsr_b), rd_b)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkcols_total(dbcsr_b)), npdims(2), dbcsr_col_block_sizes(dbcsr_b), cd_b)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkrows_total(dbcsr_c)), npdims(1), dbcsr_row_block_sizes(dbcsr_c), rd_c)\n CALL dbcsr_tas_default_distvec(INT(dbcsr_nblkcols_total(dbcsr_c)), npdims(2), dbcsr_col_block_sizes(dbcsr_c), cd_c)\n\n mp_environ_tmp = dbcsr_mp_environ(comm_dbcsr)\n CALL dbcsr_distribution_new(dist_a, mp_environ_tmp, rd_a, cd_a, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_b, mp_environ_tmp, rd_b, cd_b, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_c, mp_environ_tmp, rd_c, cd_c, reuse_arrays=.TRUE.)\n CALL dbcsr_mp_release(mp_environ_tmp)\n\n CALL dbcsr_create(matrix=dbcsr_a_mm, name=\"matrix a\", dist=dist_a, matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size_obj=dbcsr_a%row_blk_size, col_blk_size_obj=dbcsr_a%col_blk_size, &\n data_type=dbcsr_type_real_8)\n\n CALL dbcsr_create(matrix=dbcsr_b_mm, name=\"matrix b\", dist=dist_b, matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size_obj=dbcsr_b%row_blk_size, col_blk_size_obj=dbcsr_b%col_blk_size, &\n data_type=dbcsr_type_real_8)\n\n CALL dbcsr_create(matrix=dbcsr_c_mm, name=\"matrix c\", dist=dist_c, matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size_obj=dbcsr_c%row_blk_size, col_blk_size_obj=dbcsr_c%col_blk_size, &\n data_type=dbcsr_type_real_8)\n\n CALL dbcsr_create(matrix=dbcsr_c_mm_check, name=\"matrix c check\", dist=dist_c, matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size_obj=dbcsr_c%row_blk_size, col_blk_size_obj=dbcsr_c%col_blk_size, &\n data_type=dbcsr_type_real_8)\n\n CALL dbcsr_finalize(dbcsr_a_mm)\n CALL dbcsr_finalize(dbcsr_b_mm)\n CALL dbcsr_finalize(dbcsr_c_mm)\n CALL dbcsr_finalize(dbcsr_c_mm_check)\n\n CALL dbcsr_complete_redistribute(dbcsr_a, dbcsr_a_mm)\n CALL dbcsr_complete_redistribute(dbcsr_b, dbcsr_b_mm)\n CALL dbcsr_complete_redistribute(dbcsr_c, dbcsr_c_mm_check)\n\n transa_prv = transa; transb_prv = transb\n\n IF (transc == dbcsr_no_transpose) THEN\n CALL dbcsr_multiply(transa_prv, transb_prv, dbcsr_scalar(1.0_real_8), &\n dbcsr_a_mm, dbcsr_b_mm, dbcsr_scalar(0.0_real_8), dbcsr_c_mm, filter_eps=filter_eps)\n ELSEIF (transc == dbcsr_transpose) THEN\n CALL invert_transpose_flag(transa_prv)\n CALL invert_transpose_flag(transb_prv)\n CALL dbcsr_multiply(transb_prv, transa_prv, dbcsr_scalar(1.0_real_8), &\n dbcsr_b_mm, dbcsr_a_mm, dbcsr_scalar(0.0_real_8), dbcsr_c_mm, filter_eps=filter_eps)\n END IF\n\n sq_cs = dbcsr_checksum(dbcsr_c_mm)\n rc_cs = dbcsr_checksum(dbcsr_c_mm_check)\n CALL dbcsr_add(dbcsr_c_mm_check, dbcsr_c_mm, -1.0_real_8, 1.0_real_8)\n norm = dbcsr_maxabs(dbcsr_c_mm_check)\n\n IF (io_unit > 0) THEN\n IF (ABS(norm) .GT. test_tol) THEN\n WRITE (io_unit, '(A, A, A, A, A, 1X, A)') TRIM(matrix_a%matrix%name), transa, ' X ', TRIM(matrix_b%matrix%name), &\n transb, 'failed!'\n WRITE (io_unit, \"(A,1X,E9.2,1X,E9.2)\") \"checksums\", sq_cs, rc_cs\n WRITE (io_unit, \"(A,1X,E9.2)\") \"difference norm\", norm\n DBCSR_ABORT(\"\")\n ELSE\n WRITE (io_unit, '(A, A, A, A, A, 1X, A)') TRIM(matrix_a%matrix%name), transa, ' X ', TRIM(matrix_b%matrix%name), &\n transb, 'passed!'\n WRITE (io_unit, \"(A,1X,E9.2,1X,E9.2)\") \"checksums\", sq_cs, rc_cs\n WRITE (io_unit, \"(A,1X,E9.2)\") \"difference norm\", norm\n END IF\n END IF\n\n CALL dbcsr_release(dbcsr_a)\n CALL dbcsr_release(dbcsr_a_mm)\n CALL dbcsr_release(dbcsr_b)\n CALL dbcsr_release(dbcsr_b_mm)\n CALL dbcsr_release(dbcsr_c)\n CALL dbcsr_release(dbcsr_c_mm)\n CALL dbcsr_release(dbcsr_c_mm_check)\n\n CALL dbcsr_distribution_release(dist_a)\n CALL dbcsr_distribution_release(dist_b)\n CALL dbcsr_distribution_release(dist_c)\n\n CALL mp_comm_free(comm_dbcsr)\n\n END SUBROUTINE\n\n FUNCTION dbcsr_tas_checksum(matrix, local, pos)\n !! Calculate checksum of tall-and-skinny matrix consistent with dbcsr_checksum\n TYPE(dbcsr_tas_type), INTENT(IN) :: matrix\n LOGICAL, INTENT(IN), OPTIONAL :: local, pos\n TYPE(dbcsr_type) :: dbcsr_m\n REAL(KIND=real_8) :: dbcsr_tas_checksum\n\n CALL dbcsr_tas_convert_to_dbcsr(matrix, dbcsr_m)\n dbcsr_tas_checksum = dbcsr_checksum(dbcsr_m, local, pos)\n CALL dbcsr_release(dbcsr_m)\n END FUNCTION\n\n SUBROUTINE dbcsr_tas_random_bsizes(sizes, repeat, block_sizes)\n !! Create random block sizes\n INTEGER, DIMENSION(:), INTENT(IN) :: sizes\n INTEGER, INTENT(IN) :: repeat\n INTEGER, DIMENSION(:), INTENT(OUT) :: block_sizes\n\n INTEGER :: d, size_i\n\n DO d = 1, SIZE(block_sizes)\n size_i = MOD((d - 1)/repeat, SIZE(sizes)) + 1\n block_sizes(d) = sizes(size_i)\n END DO\n END SUBROUTINE\n\n SUBROUTINE dbcsr_tas_reset_randmat_seed()\n !! Reset the seed used for generating random matrices to default value\n randmat_counter = rand_seed_init\n END SUBROUTINE\n\nEND MODULE\n" }, { "path": "src/tas/dbcsr_tas_types.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_types\n !! DBCSR tall-and-skinny base types.\n !! Mostly wrappers around existing DBCSR routines.\n\n USE dbcsr_tas_global, ONLY: &\n dbcsr_tas_distribution, dbcsr_tas_rowcol_data\n USE dbcsr_types, ONLY: &\n dbcsr_distribution_obj, dbcsr_iterator, dbcsr_type\n USE dbcsr_kinds, ONLY: int_8\n USE dbcsr_data_types, ONLY: dbcsr_scalar_type\n USE dbcsr_mpiwrap, ONLY: mp_comm_type\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tas_types'\n\n PUBLIC :: &\n dbcsr_tas_distribution_type, &\n dbcsr_tas_iterator, &\n dbcsr_tas_split_info, &\n dbcsr_tas_type, &\n dbcsr_tas_mm_storage\n\n ! info on MPI Cartesian grid that is split on MPI subgroups.\n ! info on distribution of matrix rows / columns to different subgroups.\n TYPE dbcsr_tas_split_info\n TYPE(mp_comm_type) :: mp_comm = mp_comm_type() ! global communicator\n INTEGER, DIMENSION(2) :: pdims = -1 ! dimensions of process grid\n INTEGER :: igroup = -1 ! which subgroup do I belong to\n INTEGER :: ngroup = -1 ! how many groups in total\n INTEGER :: split_rowcol = -1 ! split row or column?\n INTEGER :: pgrid_split_size = -1 ! how many process rows/cols in subgroups\n INTEGER :: group_size = -1 ! group size (how many cores) of subgroups\n TYPE(mp_comm_type) :: mp_comm_group = mp_comm_type() ! sub communicator\n INTEGER, ALLOCATABLE :: ngroup_opt ! optimal number of groups (split factor)\n LOGICAL, DIMENSION(2) :: strict_split = [.FALSE., .FALSE.]\n ! if .true., split factor should not be modified (2 parameters for current and general settings)\n INTEGER, POINTER :: refcount => NULL() ! lightweight reference counting for communicators\n END TYPE\n\n TYPE dbcsr_tas_distribution_type\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(dbcsr_tas_split_info) :: info = dbcsr_tas_split_info(ngroup_opt=NULL())\n#else\n TYPE(dbcsr_tas_split_info) :: info = dbcsr_tas_split_info()\n#endif\n TYPE(dbcsr_distribution_obj) :: dbcsr_dist = dbcsr_distribution_obj()\n CLASS(dbcsr_tas_distribution), ALLOCATABLE :: row_dist\n CLASS(dbcsr_tas_distribution), ALLOCATABLE :: col_dist\n INTEGER(KIND=int_8), ALLOCATABLE, DIMENSION(:) :: local_rowcols\n END TYPE\n\n ! storage for batched matrix multiplication\n TYPE dbcsr_tas_mm_storage\n TYPE(dbcsr_tas_type), POINTER :: store_batched => NULL() ! intermediate replicated matrix\n TYPE(dbcsr_tas_type), POINTER :: store_batched_repl => NULL() ! intermediate replicated matrix\n LOGICAL :: batched_out = .FALSE. ! whether replicated matrix has been changed in mm and should be copied to actual matrix\n LOGICAL :: batched_trans = .FALSE.\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(dbcsr_scalar_type) :: batched_beta\n#else\n TYPE(dbcsr_scalar_type) :: batched_beta = dbcsr_scalar_type()\n#endif\n END TYPE\n\n ! type for tall-and-skinny matrices\n TYPE dbcsr_tas_type\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(dbcsr_tas_distribution_type) :: dist\n#else\n TYPE(dbcsr_tas_distribution_type) :: dist = dbcsr_tas_distribution_type()\n#endif\n CLASS(dbcsr_tas_rowcol_data), ALLOCATABLE :: row_blk_size\n CLASS(dbcsr_tas_rowcol_data), ALLOCATABLE :: col_blk_size\n\n TYPE(dbcsr_type) :: matrix = dbcsr_type() ! matrix on subgroup\n INTEGER(KIND=int_8) :: nblkrows = -1_int_8 ! total number of rows\n INTEGER(KIND=int_8) :: nblkcols = -1_int_8 ! total number of columns\n INTEGER(KIND=int_8) :: nblkrowscols_split = -1_int_8 ! nblkrows or nblkcols depending on which is splitted\n INTEGER(KIND=int_8) :: nfullrows = -1_int_8 ! total number of full (not blocked) rows\n INTEGER(KIND=int_8) :: nfullcols = -1_int_8 ! total number of full (not blocked) columns\n LOGICAL :: valid = .FALSE. ! has been created?\n\n ! storage and flags for batched matrix multiplication\n INTEGER :: do_batched = 0 ! state flag for batched multiplication\n TYPE(dbcsr_tas_mm_storage), ALLOCATABLE :: mm_storage ! storage for batched processing of matrix matrix multiplication.\n LOGICAL :: has_opt_pgrid = .FALSE. ! whether pgrid was automatically optimized\n END TYPE\n\n TYPE dbcsr_tas_iterator\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(dbcsr_tas_split_info) :: info = dbcsr_tas_split_info(ngroup_opt=NULL())\n TYPE(dbcsr_tas_distribution_type) :: dist\n#else\n TYPE(dbcsr_tas_split_info) :: info = dbcsr_tas_split_info()\n TYPE(dbcsr_tas_distribution_type) :: dist = dbcsr_tas_distribution_type()\n#endif\n TYPE(dbcsr_iterator) :: iter = dbcsr_iterator()\n END TYPE dbcsr_tas_iterator\n\nEND MODULE\n" }, { "path": "src/tas/dbcsr_tas_util.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tas_util\n\n !! often used utilities for tall-and-skinny matrices\n\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_new\n USE dbcsr_types, ONLY: dbcsr_mp_obj, &\n dbcsr_transpose, &\n dbcsr_no_transpose\n USE dbcsr_kinds, ONLY: int_8\n USE dbcsr_mpiwrap, ONLY: mp_cart_rank, &\n mp_environ, mp_comm_type\n USE dbcsr_index_operations, ONLY: dbcsr_sort_indices\n\n#include \"base/dbcsr_base_uses.f90\"\n#if TO_VERSION(1, 11) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n USE libxsmm, ONLY: libxsmm_diff\n# define PURE_ARRAY_EQ\n#else\n# define PURE_ARRAY_EQ PURE\n#endif\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tas_util'\n\n PUBLIC :: &\n array_eq, &\n dbcsr_mp_environ, &\n index_unique, &\n invert_transpose_flag, &\n swap\n\n INTERFACE swap\n MODULE PROCEDURE swap_i8\n MODULE PROCEDURE swap_i\n END INTERFACE\n\n INTERFACE array_eq\n MODULE PROCEDURE array_eq_i8\n MODULE PROCEDURE array_eq_i\n END INTERFACE\n\nCONTAINS\n FUNCTION dbcsr_mp_environ(mp_comm)\n !! Create a dbcsr mp environment from communicator\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n TYPE(dbcsr_mp_obj) :: dbcsr_mp_environ\n\n INTEGER :: mynode, numnodes, pcol, prow\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: pgrid\n INTEGER, DIMENSION(2) :: coord, mycoord, npdims\n\n CALL mp_environ(numnodes, npdims, mycoord, mp_comm)\n CALL mp_environ(numnodes, mynode, mp_comm)\n ALLOCATE (pgrid(0:npdims(1) - 1, 0:npdims(2) - 1))\n DO prow = 0, npdims(1) - 1\n DO pcol = 0, npdims(2) - 1\n coord = (/prow, pcol/)\n CALL mp_cart_rank(mp_comm, coord, pgrid(prow, pcol))\n END DO\n END DO\n\n DBCSR_ASSERT(mynode == pgrid(mycoord(1), mycoord(2)))\n\n CALL dbcsr_mp_new(dbcsr_mp_environ, mp_comm, pgrid, mynode, numnodes, mycoord(1), mycoord(2))\n END FUNCTION\n\n SUBROUTINE swap_i8(arr)\n INTEGER(KIND=int_8), DIMENSION(2), INTENT(INOUT) :: arr\n\n INTEGER(KIND=int_8) :: tmp\n\n tmp = arr(1)\n arr(1) = arr(2)\n arr(2) = tmp\n END SUBROUTINE\n\n SUBROUTINE swap_i(arr)\n INTEGER, DIMENSION(2), INTENT(INOUT) :: arr\n\n INTEGER :: tmp\n\n tmp = arr(1)\n arr(1) = arr(2)\n arr(2) = tmp\n END SUBROUTINE\n\n SUBROUTINE index_unique(index_in, index_out)\n !! Get all unique elements in index_in\n INTEGER, DIMENSION(:, :), INTENT(IN) :: index_in\n INTEGER, ALLOCATABLE, &\n DIMENSION(:, :), INTENT(OUT) :: index_out\n\n INTEGER :: blk, count, orig_size\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: index_tmp\n INTEGER, DIMENSION(2) :: prev_index\n INTEGER, DIMENSION(1:SIZE(index_in, 1) &\n , 1:SIZE(index_in, 2)) :: index_sorted\n\n orig_size = SIZE(index_in, 1)\n ALLOCATE (index_tmp(orig_size, 2))\n index_sorted(:, :) = index_in(:, :)\n CALL dbcsr_sort_indices(orig_size, index_sorted(:, 1), index_sorted(:, 2))\n count = 0\n prev_index(:) = [0, 0]\n DO blk = 1, orig_size\n IF (ANY(index_sorted(blk, :) .NE. prev_index(:))) THEN\n count = count + 1\n index_tmp(count, :) = index_sorted(blk, :)\n prev_index(:) = index_sorted(blk, :)\n END IF\n END DO\n\n ALLOCATE (index_out(count, 2))\n index_out(:, :) = index_tmp(1:count, :)\n END SUBROUTINE\n\n SUBROUTINE invert_transpose_flag(trans_flag)\n CHARACTER(LEN=1), INTENT(INOUT) :: trans_flag\n\n IF (trans_flag == dbcsr_transpose) THEN\n trans_flag = dbcsr_no_transpose\n ELSEIF (trans_flag == dbcsr_no_transpose) THEN\n trans_flag = dbcsr_transpose\n END IF\n END SUBROUTINE\n\n PURE_ARRAY_EQ FUNCTION array_eq_i(arr1, arr2)\n INTEGER, DIMENSION(:), INTENT(IN) :: arr1, arr2\n LOGICAL :: array_eq_i\n#if TO_VERSION(1, 11) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n array_eq_i = .NOT. libxsmm_diff(arr1, arr2)\n#else\n array_eq_i = .FALSE.\n IF (SIZE(arr1) .EQ. SIZE(arr2)) array_eq_i = ALL(arr1 == arr2)\n#endif\n END FUNCTION\n\n PURE_ARRAY_EQ FUNCTION array_eq_i8(arr1, arr2)\n INTEGER(KIND=int_8), DIMENSION(:), INTENT(IN) :: arr1, arr2\n LOGICAL :: array_eq_i8\n#if TO_VERSION(1, 11) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n array_eq_i8 = .NOT. libxsmm_diff(arr1, arr2)\n#else\n array_eq_i8 = .FALSE.\n IF (SIZE(arr1) .EQ. SIZE(arr2)) array_eq_i8 = ALL(arr1 == arr2)\n#endif\n END FUNCTION\n\nEND MODULE\n" }, { "path": "src/tensors/PACKAGE", "content": "{\n\"description\": \"block-sparse tensor framework on top of DBCSR\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../base\",\"../mpi\", \"../ops\", \"../\", \"../utils\", \"../tas\", \"../data\", \"../dist\"]\n}\n" }, { "path": "src/tensors/dbcsr_allocate_wrap.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_allocate_wrap\n !! Wrapper for allocating, copying and reshaping arrays.\n !! @todo: with fortran 2008 support, this should be replaced by plain ALLOCATE\n !! @note\n !! in particular ALLOCATE(..., SOURCE=...) does not work in gcc 5.4.0, see also\n !! https://gcc.gnu.org/bugzilla/show_bug.cgi?id=44672\n !! @endnote\n\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = fortran_max_ndim\n\n USE dbcsr_kinds, ONLY: ${uselist(dtype_float_prec)}$\n\n#include \"base/dbcsr_base_uses.f90\"\n IMPLICIT NONE\n PRIVATE\n\n PUBLIC :: allocate_any\n\n INTERFACE allocate_any\n #:for dparam, dtype, dsuffix in dtype_all_list\n #:for dim in range(1, maxdim+1)\n MODULE PROCEDURE allocate_${dim}$d_${dsuffix}$\n #:endfor\n #:endfor\n END INTERFACE\n\nCONTAINS\n\n #:for dparam, dtype, dsuffix in dtype_all_list\n #:for dim in range(1, maxdim+1)\n\n SUBROUTINE allocate_${dim}$d_${dsuffix}$ (array, shape_spec, source, order)\n !! Allocate array according to shape_spec. Possibly assign array from source.\n !! @note\n !! this does not fully replace Fortran RESHAPE intrinsic since source and target array must\n !! have same rank.\n !! @endnote\n\n ${dtype}$, DIMENSION(${shape_colon(dim)}$), ALLOCATABLE, INTENT(OUT) :: array\n !! target array.\n INTEGER, DIMENSION(${dim}$), INTENT(IN), OPTIONAL :: shape_spec\n !! shape of array to be allocated. If shape is not specified, it is derived from source.\n ${dtype}$, DIMENSION(${shape_colon(dim)}$), INTENT(IN), OPTIONAL :: source\n !! source array to be copied to target array, must have same rank as target array.\n INTEGER, DIMENSION(${dim}$), INTENT(IN), OPTIONAL :: order\n !! in which order to copy source to array (same convention as RESHAPE intrinsic).\n INTEGER, DIMENSION(${dim}$) :: shape_prv\n\n IF (PRESENT(shape_spec)) THEN\n IF (PRESENT(order)) THEN\n shape_prv(order) = shape_spec\n ELSE\n shape_prv = shape_spec\n END IF\n ELSEIF (PRESENT(source)) THEN\n IF (PRESENT(order)) THEN\n shape_prv(order) = SHAPE(source)\n ELSE\n shape_prv = SHAPE(source)\n END IF\n ELSE\n DBCSR_ABORT(\"either source or shape_spec must be present\")\n END IF\n\n IF (PRESENT(source)) THEN\n IF (PRESENT(order)) THEN\n ALLOCATE (array(${arrlist(\"shape_prv\", nmax=dim)}$))\n array(${shape_colon(dim)}$) = RESHAPE(source, shape_prv, order=order)\n ELSE\n ALLOCATE (array(${arrlist(\"shape_prv\", nmax=dim)}$), source=source)\n END IF\n ELSE\n ALLOCATE (array(${arrlist(\"shape_prv\", nmax=dim)}$))\n END IF\n\n END SUBROUTINE\n #:endfor\n #:endfor\nEND MODULE\n" }, { "path": "src/tensors/dbcsr_array_list_methods.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_array_list_methods\n !! Representation of arbitrary number of 1d integer arrays with arbitrary sizes.\n !! This is needed for generic handling of dimension-specific tensor quantities (such as block index).\n\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = maxrank\n #:set ndims = range(2,maxdim+1)\n\n USE dbcsr_tensor_index, ONLY: dbcsr_t_inverse_order\n USE dbcsr_allocate_wrap, ONLY: allocate_any\n\n#include \"base/dbcsr_base_uses.f90\"\n#if TO_VERSION(1, 11) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n USE libxsmm, ONLY: libxsmm_diff\n# define PURE_ARRAY_EQ\n#else\n# define PURE_ARRAY_EQ PURE\n#endif\n\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_array_list_methods'\n\n PUBLIC :: &\n array_eq_i, &\n array_list, &\n array_offsets, &\n array_sublist, &\n create_array_list, &\n destroy_array_list, &\n get_array_elements, &\n get_arrays, &\n get_ith_array, &\n number_of_arrays, &\n reorder_arrays, &\n sizes_of_arrays, &\n sum_of_arrays, &\n check_equal\n\n TYPE array_list\n INTEGER, DIMENSION(:), ALLOCATABLE :: col_data\n INTEGER, DIMENSION(:), ALLOCATABLE :: ptr\n END TYPE\n\n INTERFACE get_ith_array\n MODULE PROCEDURE allocate_and_get_ith_array\n MODULE PROCEDURE get_ith_array\n END INTERFACE\n\nCONTAINS\n\n PURE FUNCTION number_of_arrays(list)\n !! number of arrays stored in list\n TYPE(array_list), INTENT(IN) :: list\n INTEGER :: number_of_arrays\n\n number_of_arrays = SIZE(list%ptr) - 1\n\n END FUNCTION number_of_arrays\n\n PURE FUNCTION get_array_elements(list, indices)\n !! Get an element for each array.\n\n TYPE(array_list), INTENT(IN) :: list\n INTEGER, DIMENSION(number_of_arrays(list)), INTENT(IN) :: indices\n !! element index for each array\n INTEGER, DIMENSION(number_of_arrays(list)) :: get_array_elements\n\n INTEGER :: i, ind\n\n DO i = 1, SIZE(indices)\n ind = indices(i) + list%ptr(i) - 1\n get_array_elements(i) = list%col_data(ind)\n END DO\n\n END FUNCTION get_array_elements\n\n SUBROUTINE create_array_list(list, ndata, ${varlist(\"data\")}$)\n !! collects any number of arrays of different sizes into a single array (list%col_data),\n !! storing the indices that start a new array (list%ptr).\n TYPE(array_list), INTENT(OUT) :: list\n !! list of arrays\n INTEGER, INTENT(IN) :: ndata\n !! number of arrays\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"data\")}$\n !! arrays 1 and 2\n INTEGER :: ptr, size_all\n\n size_all = 0\n\n #:for dim in range(1, maxdim+1)\n IF (ndata .GE. ${dim}$) THEN\n DBCSR_ASSERT(PRESENT(data_${dim}$))\n size_all = size_all + SIZE(data_${dim}$)\n END IF\n #:endfor\n\n ALLOCATE (list%ptr(ndata + 1))\n ALLOCATE (list%col_data(size_all))\n\n ptr = 1\n list%ptr(1) = ptr\n\n #:for dim in range(1, maxdim+1)\n IF (ndata .GE. ${dim}$) THEN\n list%col_data(ptr:ptr + SIZE(data_${dim}$) - 1) = data_${dim}$ (:)\n ptr = ptr + SIZE(data_${dim}$)\n list%ptr(${dim+1}$) = ptr\n END IF\n #:endfor\n\n END SUBROUTINE\n\n FUNCTION array_sublist(list, i_selected)\n !! extract a subset of arrays\n\n TYPE(array_list), INTENT(IN) :: list\n !! list of arrays\n INTEGER, DIMENSION(:), INTENT(IN) :: i_selected\n !! array numbers to retrieve\n TYPE(array_list) :: array_sublist\n INTEGER :: ndata\n INTEGER, ALLOCATABLE, DIMENSION(:) :: ${varlist(\"data\")}$\n\n ndata = SIZE(i_selected)\n\n #:for dim in range(1, maxdim+1)\n IF (ndata == ${dim}$) THEN\n CALL get_arrays(list, ${varlist(\"data\", nmax=dim)}$, i_selected=i_selected)\n CALL create_array_list(array_sublist, ndata, ${varlist(\"data\", nmax=dim)}$)\n END IF\n #:endfor\n END FUNCTION\n\n SUBROUTINE destroy_array_list(list)\n !! destroy array list.\n TYPE(array_list), INTENT(INOUT) :: list\n\n DEALLOCATE (list%ptr, list%col_data)\n END SUBROUTINE\n\n SUBROUTINE get_arrays(list, ${varlist(\"data\")}$, i_selected)\n !! Get all arrays contained in list\n TYPE(array_list), INTENT(IN) :: list\n INTEGER, ALLOCATABLE, DIMENSION(:), INTENT(OUT), &\n OPTIONAL :: ${varlist(\"data\")}$\n !! arrays 1 and 2\n INTEGER, DIMENSION(:), INTENT(IN), &\n OPTIONAL :: i_selected\n !! array numbers to retrieve (if not present, all arrays are returned)\n INTEGER :: i, ndata\n INTEGER, DIMENSION(number_of_arrays(list)) :: o\n\n o(:) = 0\n IF (PRESENT(i_selected)) THEN\n ndata = SIZE(i_selected)\n o(1:ndata) = i_selected(:)\n ELSE\n ndata = number_of_arrays(list)\n o(1:ndata) = (/(i, i=1, ndata)/)\n END IF\n\n ASSOCIATE (ptr => list%ptr, col_data => list%col_data)\n #:for dim in range(1, maxdim+1)\n IF (ndata > ${dim-1}$) THEN\n CALL allocate_any(data_${dim}$, source=col_data(ptr(o(${dim}$)):ptr(o(${dim}$) + 1) - 1))\n END IF\n #:endfor\n END ASSOCIATE\n\n END SUBROUTINE get_arrays\n\n SUBROUTINE get_ith_array(list, i, array_size, array)\n !! get ith array\n TYPE(array_list), INTENT(IN) :: list\n INTEGER, INTENT(IN) :: i\n INTEGER, INTENT(IN) :: array_size\n INTEGER, DIMENSION(array_size), INTENT(OUT) :: array\n\n ASSOCIATE (ptr => list%ptr, col_data => list%col_data)\n DBCSR_ASSERT(i <= number_of_arrays(list))\n\n array(:) = col_data(ptr(i):ptr(i + 1) - 1)\n\n END ASSOCIATE\n\n END SUBROUTINE\n\n SUBROUTINE allocate_and_get_ith_array(list, i, array)\n !! get ith array\n TYPE(array_list), INTENT(IN) :: list\n INTEGER, INTENT(IN) :: i\n INTEGER, DIMENSION(:), ALLOCATABLE, INTENT(OUT) :: array\n\n ASSOCIATE (ptr => list%ptr, col_data => list%col_data)\n DBCSR_ASSERT(i <= number_of_arrays(list))\n\n CALL allocate_any(array, source=col_data(ptr(i):ptr(i + 1) - 1))\n END ASSOCIATE\n END SUBROUTINE\n\n FUNCTION sizes_of_arrays(list)\n !! sizes of arrays stored in list\n TYPE(array_list), INTENT(IN) :: list\n INTEGER, ALLOCATABLE, DIMENSION(:) :: sizes_of_arrays\n\n INTEGER :: i_data, num_data\n\n num_data = number_of_arrays(list)\n ALLOCATE (sizes_of_arrays(num_data))\n DO i_data = 1, num_data\n sizes_of_arrays(i_data) = list%ptr(i_data + 1) - list%ptr(i_data)\n END DO\n END FUNCTION sizes_of_arrays\n\n FUNCTION sum_of_arrays(list)\n !! sum of all elements for each array stored in list\n TYPE(array_list), INTENT(IN) :: list\n INTEGER, ALLOCATABLE, DIMENSION(:) :: sum_of_arrays\n\n INTEGER :: i_data, num_data\n\n num_data = number_of_arrays(list)\n ALLOCATE (sum_of_arrays(num_data))\n DO i_data = 1, num_data\n sum_of_arrays(i_data) = SUM(list%col_data(list%ptr(i_data):list%ptr(i_data + 1) - 1))\n END DO\n\n END FUNCTION sum_of_arrays\n\n SUBROUTINE array_offsets(list_in, list_out)\n !! partial sums of array elements.\n TYPE(array_list), INTENT(IN) :: list_in\n TYPE(array_list), INTENT(OUT) :: list_out\n\n INTEGER :: i_data, i_ptr, num_data, partial_sum\n\n num_data = number_of_arrays(list_in)\n CALL allocate_any(list_out%ptr, source=list_in%ptr)\n ALLOCATE (list_out%col_data(SIZE(list_in%col_data)))\n DO i_data = 1, num_data\n partial_sum = 1\n DO i_ptr = list_out%ptr(i_data), list_out%ptr(i_data + 1) - 1\n list_out%col_data(i_ptr) = partial_sum\n partial_sum = partial_sum + list_in%col_data(i_ptr)\n END DO\n END DO\n END SUBROUTINE\n\n SUBROUTINE reorder_arrays(list_in, list_out, order)\n !! reorder array list.\n TYPE(array_list), INTENT(IN) :: list_in\n TYPE(array_list), INTENT(OUT) :: list_out\n INTEGER, ALLOCATABLE, DIMENSION(:) :: ${varlist(\"data\")}$\n INTEGER, DIMENSION(number_of_arrays(list_in)), &\n INTENT(IN) :: order\n\n #:for ndim in ndims\n IF (number_of_arrays(list_in) == ${ndim}$) THEN\n CALL get_arrays(list_in, ${varlist(\"data\", nmax=ndim)}$, i_selected=dbcsr_t_inverse_order(order))\n CALL create_array_list(list_out, number_of_arrays(list_in), &\n ${varlist(\"data\", nmax=ndim)}$)\n END IF\n #:endfor\n\n END SUBROUTINE\n\n FUNCTION check_equal(list1, list2)\n !! check whether two array lists are equal\n TYPE(array_list), INTENT(IN) :: list1, list2\n LOGICAL :: check_equal\n\n check_equal = array_eq_i(list1%col_data, list2%col_data) .AND. array_eq_i(list1%ptr, list2%ptr)\n END FUNCTION\n\n PURE_ARRAY_EQ FUNCTION array_eq_i(arr1, arr2)\n !! check whether two arrays are equal\n INTEGER, INTENT(IN), DIMENSION(:) :: arr1\n INTEGER, INTENT(IN), DIMENSION(:) :: arr2\n LOGICAL :: array_eq_i\n\n#if TO_VERSION(1, 11) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n array_eq_i = .NOT. libxsmm_diff(arr1, arr2)\n#else\n array_eq_i = .FALSE.\n IF (SIZE(arr1) .EQ. SIZE(arr2)) array_eq_i = ALL(arr1 == arr2)\n#endif\n END FUNCTION\n\nEND MODULE dbcsr_array_list_methods\n" }, { "path": "src/tensors/dbcsr_tensor.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor\n !! DBCSR tensor framework for block-sparse tensor contraction.\n !! Representation of n-rank tensors as DBCSR tall-and-skinny matrices.\n !! Support for arbitrary redistribution between different representations.\n !! Support for arbitrary tensor contractions\n !! \\todo implement checks and error messages\n\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = maxrank\n #:set ndims = range(2,maxdim+1)\n\n USE dbcsr_allocate_wrap, ONLY: &\n allocate_any\n USE dbcsr_array_list_methods, ONLY: &\n get_arrays, reorder_arrays, get_ith_array, array_list, array_sublist, check_equal, array_eq_i, &\n create_array_list, destroy_array_list, sizes_of_arrays\n USE dbcsr_api, ONLY: &\n dbcsr_type, dbcsr_iterator_type, dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block, dbcsr_iterator_start, dbcsr_iterator_stop, &\n dbcsr_transpose, dbcsr_no_transpose, dbcsr_scalar, dbcsr_put_block, &\n ${uselist(dtype_float_param)}$, dbcsr_clear, &\n dbcsr_release, dbcsr_desymmetrize, dbcsr_has_symmetry\n USE dbcsr_tas_types, ONLY: &\n dbcsr_tas_split_info\n USE dbcsr_tas_base, ONLY: &\n dbcsr_tas_copy, dbcsr_tas_finalize, dbcsr_tas_get_data_type, dbcsr_tas_get_info, dbcsr_tas_info\n USE dbcsr_tas_mm, ONLY: &\n dbcsr_tas_multiply, dbcsr_tas_batched_mm_init, dbcsr_tas_batched_mm_finalize, dbcsr_tas_result_index, &\n dbcsr_tas_batched_mm_complete, dbcsr_tas_set_batched_state\n USE dbcsr_tensor_block, ONLY: &\n dbcsr_t_iterator_type, dbcsr_t_get_block, dbcsr_t_put_block, dbcsr_t_iterator_start, &\n dbcsr_t_iterator_blocks_left, dbcsr_t_iterator_stop, dbcsr_t_iterator_next_block, &\n ndims_iterator, dbcsr_t_reserve_blocks, block_nd, destroy_block\n USE dbcsr_tensor_index, ONLY: &\n dbcsr_t_get_mapping_info, nd_to_2d_mapping, dbcsr_t_inverse_order, permute_index, get_nd_indices_tensor, &\n ndims_mapping_row, ndims_mapping_column, ndims_mapping\n USE dbcsr_tensor_types, ONLY: &\n dbcsr_t_create, dbcsr_t_get_data_type, dbcsr_t_type, ndims_tensor, dims_tensor, &\n dbcsr_t_distribution_type, dbcsr_t_distribution, dbcsr_t_nd_mp_comm, dbcsr_t_destroy, &\n dbcsr_t_distribution_destroy, dbcsr_t_distribution_new_expert, dbcsr_t_get_stored_coordinates, &\n blk_dims_tensor, dbcsr_t_hold, dbcsr_t_pgrid_type, mp_environ_pgrid, dbcsr_t_filter, &\n dbcsr_t_clear, dbcsr_t_finalize, dbcsr_t_get_num_blocks, dbcsr_t_scale, &\n dbcsr_t_get_num_blocks_total, dbcsr_t_get_info, ndims_matrix_row, ndims_matrix_column, &\n dbcsr_t_max_nblks_local, dbcsr_t_default_distvec, dbcsr_t_contraction_storage, dbcsr_t_nblks_total, &\n dbcsr_t_distribution_new, dbcsr_t_copy_contraction_storage, dbcsr_t_pgrid_destroy\n USE dbcsr_kinds, ONLY: &\n ${uselist(dtype_float_prec)}$, default_string_length, int_8, dp\n USE dbcsr_mpiwrap, ONLY: &\n mp_environ, mp_max, mp_comm_free, mp_cart_create, mp_sync, mp_comm_type\n USE dbcsr_toollib, ONLY: &\n sort\n USE dbcsr_tensor_reshape, ONLY: &\n dbcsr_t_reshape\n USE dbcsr_tas_split, ONLY: &\n dbcsr_tas_mp_comm, rowsplit, colsplit, dbcsr_tas_info_hold, dbcsr_tas_release_info, default_nsplit_accept_ratio, &\n default_pdims_accept_ratio, dbcsr_tas_create_split\n USE dbcsr_data_types, ONLY: &\n dbcsr_scalar_type\n USE dbcsr_tensor_split, ONLY: &\n dbcsr_t_split_copyback, dbcsr_t_make_compatible_blocks, dbcsr_t_crop\n USE dbcsr_tensor_io, ONLY: &\n dbcsr_t_write_tensor_info, dbcsr_t_write_tensor_dist, prep_output_unit, dbcsr_t_write_split_info\n USE dbcsr_dist_operations, ONLY: &\n checker_tr\n USE dbcsr_toollib, ONLY: &\n swap\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor'\n\n PUBLIC :: &\n dbcsr_t_contract, &\n dbcsr_t_copy, &\n dbcsr_t_get_block, &\n dbcsr_t_get_stored_coordinates, &\n dbcsr_t_inverse_order, &\n dbcsr_t_iterator_blocks_left, &\n dbcsr_t_iterator_next_block, &\n dbcsr_t_iterator_start, &\n dbcsr_t_iterator_stop, &\n dbcsr_t_iterator_type, &\n dbcsr_t_put_block, &\n dbcsr_t_reserve_blocks, &\n dbcsr_t_copy_matrix_to_tensor, &\n dbcsr_t_copy_tensor_to_matrix, &\n dbcsr_t_contract_index, &\n dbcsr_t_batched_contract_init, &\n dbcsr_t_batched_contract_finalize\n\nCONTAINS\n\n SUBROUTINE dbcsr_t_copy(tensor_in, tensor_out, order, summation, bounds, move_data, unit_nr)\n !! Copy tensor data.\n !! Redistributes tensor data according to distributions of target and source tensor.\n !! Permutes tensor index according to `order` argument (if present).\n !! Source and target tensor formats are arbitrary as long as the following requirements are met:\n !! * source and target tensors have the same rank and the same sizes in each dimension in terms\n !! of tensor elements (block sizes don't need to be the same).\n !! If `order` argument is present, sizes must match after index permutation.\n !! OR\n !! * target tensor is not yet created, in this case an exact copy of source tensor is returned.\n\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_in, tensor_out\n !! Source\n !! Target\n INTEGER, DIMENSION(ndims_tensor(tensor_in)), &\n INTENT(IN), OPTIONAL :: order\n !! Permutation of target tensor index. Exact same convention as order argument of RESHAPE intrinsic\n LOGICAL, INTENT(IN), OPTIONAL :: summation, move_data\n INTEGER, DIMENSION(2, ndims_tensor(tensor_in)), &\n INTENT(IN), OPTIONAL :: bounds\n !! crop tensor data: start and end index for each tensor dimension\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n INTEGER :: handle\n\n CALL mp_sync(tensor_in%pgrid%mp_comm_2d)\n CALL timeset(\"dbcsr_t_total\", handle)\n\n ! make sure that it is safe to use dbcsr_t_copy during a batched contraction\n CALL dbcsr_tas_batched_mm_complete(tensor_in%matrix_rep, warn=.TRUE.)\n CALL dbcsr_tas_batched_mm_complete(tensor_out%matrix_rep, warn=.TRUE.)\n\n CALL dbcsr_t_copy_expert(tensor_in, tensor_out, order, summation, bounds, move_data, unit_nr)\n CALL mp_sync(tensor_in%pgrid%mp_comm_2d)\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_copy_expert(tensor_in, tensor_out, order, summation, bounds, move_data, unit_nr)\n !! expert routine for copying a tensor. For internal use only.\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_in, tensor_out\n INTEGER, DIMENSION(ndims_tensor(tensor_in)), &\n INTENT(IN), OPTIONAL :: order\n LOGICAL, INTENT(IN), OPTIONAL :: summation, move_data\n INTEGER, DIMENSION(2, ndims_tensor(tensor_in)), &\n INTENT(IN), OPTIONAL :: bounds\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n\n TYPE(dbcsr_t_type), POINTER :: in_tmp_1, in_tmp_2, &\n in_tmp_3, out_tmp_1\n INTEGER :: handle, unit_nr_prv\n INTEGER, DIMENSION(:), ALLOCATABLE :: map1_in_1, map1_in_2, map2_in_1, map2_in_2\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_copy'\n LOGICAL :: dist_compatible_tas, dist_compatible_tensor, &\n summation_prv, new_in_1, new_in_2, &\n new_in_3, new_out_1, block_compatible, &\n move_prv\n TYPE(array_list) :: blk_sizes_in\n\n CALL timeset(routineN, handle)\n\n DBCSR_ASSERT(tensor_out%valid)\n\n unit_nr_prv = prep_output_unit(unit_nr)\n\n IF (PRESENT(move_data)) THEN\n move_prv = move_data\n ELSE\n move_prv = .FALSE.\n END IF\n\n dist_compatible_tas = .FALSE.\n dist_compatible_tensor = .FALSE.\n block_compatible = .FALSE.\n new_in_1 = .FALSE.\n new_in_2 = .FALSE.\n new_in_3 = .FALSE.\n new_out_1 = .FALSE.\n\n IF (PRESENT(summation)) THEN\n summation_prv = summation\n ELSE\n summation_prv = .FALSE.\n END IF\n\n IF (PRESENT(bounds)) THEN\n ALLOCATE (in_tmp_1)\n CALL dbcsr_t_crop(tensor_in, in_tmp_1, bounds=bounds, move_data=move_prv)\n new_in_1 = .TRUE.\n move_prv = .TRUE.\n ELSE\n in_tmp_1 => tensor_in\n END IF\n\n IF (PRESENT(order)) THEN\n CALL reorder_arrays(in_tmp_1%blk_sizes, blk_sizes_in, order=order)\n block_compatible = check_equal(blk_sizes_in, tensor_out%blk_sizes)\n ELSE\n block_compatible = check_equal(in_tmp_1%blk_sizes, tensor_out%blk_sizes)\n END IF\n\n IF (.NOT. block_compatible) THEN\n ALLOCATE (in_tmp_2, out_tmp_1)\n CALL dbcsr_t_make_compatible_blocks(in_tmp_1, tensor_out, in_tmp_2, out_tmp_1, order=order, &\n nodata2=.NOT. summation_prv, move_data=move_prv)\n new_in_2 = .TRUE.; new_out_1 = .TRUE.\n move_prv = .TRUE.\n ELSE\n in_tmp_2 => in_tmp_1\n out_tmp_1 => tensor_out\n END IF\n\n IF (PRESENT(order)) THEN\n ALLOCATE (in_tmp_3)\n CALL dbcsr_t_permute_index(in_tmp_2, in_tmp_3, order)\n new_in_3 = .TRUE.\n ELSE\n in_tmp_3 => in_tmp_2\n END IF\n\n ALLOCATE (map1_in_1(ndims_matrix_row(in_tmp_3)))\n ALLOCATE (map1_in_2(ndims_matrix_column(in_tmp_3)))\n CALL dbcsr_t_get_mapping_info(in_tmp_3%nd_index, map1_2d=map1_in_1, map2_2d=map1_in_2)\n\n ALLOCATE (map2_in_1(ndims_matrix_row(out_tmp_1)))\n ALLOCATE (map2_in_2(ndims_matrix_column(out_tmp_1)))\n CALL dbcsr_t_get_mapping_info(out_tmp_1%nd_index, map1_2d=map2_in_1, map2_2d=map2_in_2)\n\n IF (.NOT. PRESENT(order)) THEN\n IF (array_eq_i(map1_in_1, map2_in_1) .AND. array_eq_i(map1_in_2, map2_in_2)) THEN\n dist_compatible_tas = check_equal(in_tmp_3%nd_dist, out_tmp_1%nd_dist)\n ELSEIF (array_eq_i([map1_in_1, map1_in_2], [map2_in_1, map2_in_2])) THEN\n dist_compatible_tensor = check_equal(in_tmp_3%nd_dist, out_tmp_1%nd_dist)\n END IF\n END IF\n\n IF (dist_compatible_tas) THEN\n CALL dbcsr_tas_copy(out_tmp_1%matrix_rep, in_tmp_3%matrix_rep, summation)\n IF (move_prv) CALL dbcsr_t_clear(in_tmp_3)\n ELSEIF (dist_compatible_tensor) THEN\n CALL dbcsr_t_copy_nocomm(in_tmp_3, out_tmp_1, summation)\n IF (move_prv) CALL dbcsr_t_clear(in_tmp_3)\n ELSE\n CALL dbcsr_t_reshape(in_tmp_3, out_tmp_1, summation, move_data=move_prv)\n END IF\n\n IF (new_in_1) THEN\n CALL dbcsr_t_destroy(in_tmp_1)\n DEALLOCATE (in_tmp_1)\n END IF\n\n IF (new_in_2) THEN\n CALL dbcsr_t_destroy(in_tmp_2)\n DEALLOCATE (in_tmp_2)\n END IF\n\n IF (new_in_3) THEN\n CALL dbcsr_t_destroy(in_tmp_3)\n DEALLOCATE (in_tmp_3)\n END IF\n\n IF (new_out_1) THEN\n IF (unit_nr_prv /= 0) THEN\n CALL dbcsr_t_write_tensor_dist(out_tmp_1, unit_nr)\n END IF\n CALL dbcsr_t_split_copyback(out_tmp_1, tensor_out, summation)\n CALL dbcsr_t_destroy(out_tmp_1)\n DEALLOCATE (out_tmp_1)\n END IF\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_copy_nocomm(tensor_in, tensor_out, summation)\n !! copy without communication, requires that both tensors have same process grid and distribution\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_out\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! Whether to sum matrices b = a + b\n TYPE(dbcsr_t_iterator_type) :: iter\n INTEGER, DIMENSION(ndims_tensor(tensor_in)) :: ind_nd\n INTEGER :: blk\n TYPE(block_nd) :: blk_data\n LOGICAL :: found\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_copy_nocomm'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n DBCSR_ASSERT(tensor_out%valid)\n\n IF (PRESENT(summation)) THEN\n IF (.NOT. summation) CALL dbcsr_t_clear(tensor_out)\n ELSE\n CALL dbcsr_t_clear(tensor_out)\n END IF\n\n CALL dbcsr_t_reserve_blocks(tensor_in, tensor_out)\n\n CALL dbcsr_t_iterator_start(iter, tensor_in)\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, ind_nd, blk)\n CALL dbcsr_t_get_block(tensor_in, ind_nd, blk_data, found)\n DBCSR_ASSERT(found)\n CALL dbcsr_t_put_block(tensor_out, ind_nd, blk_data, summation=summation)\n CALL destroy_block(blk_data)\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_copy_matrix_to_tensor(matrix_in, tensor_out, summation)\n !! copy matrix to tensor.\n\n TYPE(dbcsr_type), TARGET, INTENT(IN) :: matrix_in\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_out\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! tensor_out = tensor_out + matrix_in\n TYPE(dbcsr_type), POINTER :: matrix_in_desym\n\n INTEGER, DIMENSION(2) :: ind_2d\n REAL(KIND=real_8), ALLOCATABLE, DIMENSION(:, :) :: block_arr\n REAL(KIND=real_8), DIMENSION(:, :), POINTER :: block\n TYPE(dbcsr_iterator_type) :: iter\n LOGICAL :: tr\n\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_copy_matrix_to_tensor'\n\n CALL timeset(routineN, handle)\n DBCSR_ASSERT(tensor_out%valid)\n\n NULLIFY (block)\n\n IF (dbcsr_has_symmetry(matrix_in)) THEN\n ALLOCATE (matrix_in_desym)\n CALL dbcsr_desymmetrize(matrix_in, matrix_in_desym)\n ELSE\n matrix_in_desym => matrix_in\n END IF\n\n IF (PRESENT(summation)) THEN\n IF (.NOT. summation) CALL dbcsr_t_clear(tensor_out)\n ELSE\n CALL dbcsr_t_clear(tensor_out)\n END IF\n\n CALL dbcsr_t_reserve_blocks(matrix_in_desym, tensor_out)\n\n CALL dbcsr_iterator_start(iter, matrix_in_desym)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, ind_2d(1), ind_2d(2), block, tr)\n CALL allocate_any(block_arr, source=block)\n CALL dbcsr_t_put_block(tensor_out, ind_2d, SHAPE(block_arr), block_arr, summation=summation)\n DEALLOCATE (block_arr)\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n IF (dbcsr_has_symmetry(matrix_in)) THEN\n CALL dbcsr_release(matrix_in_desym)\n DEALLOCATE (matrix_in_desym)\n END IF\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_copy_tensor_to_matrix(tensor_in, matrix_out, summation)\n !! copy tensor to matrix\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_out\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! matrix_out = matrix_out + tensor_in\n TYPE(dbcsr_t_iterator_type) :: iter\n INTEGER :: blk, handle\n INTEGER, DIMENSION(2) :: ind_2d\n REAL(KIND=real_8), DIMENSION(:, :), ALLOCATABLE :: block\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_copy_tensor_to_matrix'\n LOGICAL :: found\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(summation)) THEN\n IF (.NOT. summation) CALL dbcsr_clear(matrix_out)\n ELSE\n CALL dbcsr_clear(matrix_out)\n END IF\n\n CALL dbcsr_t_reserve_blocks(tensor_in, matrix_out)\n\n CALL dbcsr_t_iterator_start(iter, tensor_in)\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, ind_2d, blk)\n IF (dbcsr_has_symmetry(matrix_out) .AND. checker_tr(ind_2d(1), ind_2d(2))) CYCLE\n\n CALL dbcsr_t_get_block(tensor_in, ind_2d, block, found)\n DBCSR_ASSERT(found)\n\n IF (dbcsr_has_symmetry(matrix_out) .AND. ind_2d(1) > ind_2d(2)) THEN\n CALL dbcsr_put_block(matrix_out, ind_2d(2), ind_2d(1), TRANSPOSE(block), summation=summation)\n ELSE\n CALL dbcsr_put_block(matrix_out, ind_2d(1), ind_2d(2), block, summation=summation)\n END IF\n DEALLOCATE (block)\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_contract(alpha, tensor_1, tensor_2, beta, tensor_3, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n map_1, map_2, &\n bounds_1, bounds_2, bounds_3, &\n optimize_dist, pgrid_opt_1, pgrid_opt_2, pgrid_opt_3, &\n filter_eps, flop, move_data, retain_sparsity, unit_nr, log_verbose)\n !! Contract tensors by multiplying matrix representations.\n !! tensor_3(map_1, map_2) := alpha * tensor_1(notcontract_1, contract_1)\n !! * tensor_2(contract_2, notcontract_2)\n !! + beta * tensor_3(map_1, map_2)\n !!\n !! @note\n !! note 1: block sizes of the corresponding indices need to be the same in all tensors.\n !!\n !! note 2: for best performance the tensors should have been created in matrix layouts\n !! compatible with the contraction, e.g. tensor_1 should have been created with either\n !! map1_2d == contract_1 and map2_2d == notcontract_1 or map1_2d == notcontract_1 and\n !! map2_2d == contract_1 (the same with tensor_2 and contract_2 / notcontract_2 and with\n !! tensor_3 and map_1 / map_2).\n !! Furthermore the two largest tensors involved in the contraction should map both to either\n !! tall or short matrices: the largest matrix dimension should be \"on the same side\"\n !! and should have identical distribution (which is always the case if the distributions were\n !! obtained with dbcsr_t_default_distvec).\n !!\n !! note 3: if the same tensor occurs in multiple contractions, a different tensor object should\n !! be created for each contraction and the data should be copied between the tensors by use of\n !! dbcsr_t_copy. If the same tensor object is used in multiple contractions, matrix layouts are\n !! not compatible for all contractions (see note 2).\n !!\n !! note 4: automatic optimizations are enabled by using the feature of batched contraction, see\n !! dbcsr_t_batched_contract_init, dbcsr_t_batched_contract_finalize. The arguments bounds_1,\n !! bounds_2, bounds_3 give the index ranges of the batches.\n !! @endnote\n\n TYPE(dbcsr_scalar_type), INTENT(IN) :: alpha\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_1\n !! first tensor (in)\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_2\n !! second tensor (in)\n TYPE(dbcsr_scalar_type), INTENT(IN) :: beta\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_1\n !! indices of tensor_1 to contract\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_2\n !! indices of tensor_2 to contract (1:1 with contract_1)\n INTEGER, DIMENSION(:), INTENT(IN) :: map_1\n !! which indices of tensor_3 map to non-contracted indices of tensor_1 (1:1 with notcontract_1)\n INTEGER, DIMENSION(:), INTENT(IN) :: map_2\n !! which indices of tensor_3 map to non-contracted indices of tensor_2 (1:1 with notcontract_2)\n INTEGER, DIMENSION(:), INTENT(IN) :: notcontract_1\n !! indices of tensor_1 not to contract\n INTEGER, DIMENSION(:), INTENT(IN) :: notcontract_2\n !! indices of tensor_2 not to contract\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_3\n !! contracted tensor (out)\n INTEGER, DIMENSION(2, SIZE(contract_1)), &\n INTENT(IN), OPTIONAL :: bounds_1\n !! bounds corresponding to contract_1 AKA contract_2: start and end index of an index range over\n !! which to contract. For use in batched contraction.\n INTEGER, DIMENSION(2, SIZE(notcontract_1)), &\n INTENT(IN), OPTIONAL :: bounds_2\n !! bounds corresponding to notcontract_1: start and end index of an index range.\n !! For use in batched contraction.\n INTEGER, DIMENSION(2, SIZE(notcontract_2)), &\n INTENT(IN), OPTIONAL :: bounds_3\n !! bounds corresponding to notcontract_2: start and end index of an index range.\n !! For use in batched contraction.\n LOGICAL, INTENT(IN), OPTIONAL :: optimize_dist\n !! Whether distribution should be optimized internally. In the current implementation this guarantees optimal parameters\n !! only for dense matrices.\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT), &\n POINTER, OPTIONAL :: pgrid_opt_1\n !! Optionally return optimal process grid for tensor_1. This can be used to choose optimal process grids for subsequent\n !! tensor contractions with tensors of similar shape and sparsity. Under some conditions, pgrid_opt_1 can not be returned,\n !! in this case the pointer is not associated.\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT), &\n POINTER, OPTIONAL :: pgrid_opt_2\n !! Optionally return optimal process grid for tensor_2.\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT), &\n POINTER, OPTIONAL :: pgrid_opt_3\n !! Optionally return optimal process grid for tensor_3.\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n !! As in DBCSR mm\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: flop\n !! As in DBCSR mm\n LOGICAL, INTENT(IN), OPTIONAL :: move_data\n !! memory optimization: transfer data such that tensor_1 and tensor_2 are empty on return\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n !! enforce the sparsity pattern of the existing tensor_3; default is no\n INTEGER, OPTIONAL, INTENT(IN) :: unit_nr\n !! output unit for logging\n !! set it to -1 on ranks that should not write (and any valid unit number on ranks that should write output)\n !! if 0 on ALL ranks, no output is written\n LOGICAL, INTENT(IN), OPTIONAL :: log_verbose\n !! verbose logging (for testing only)\n\n INTEGER :: handle\n\n CALL mp_sync(tensor_1%pgrid%mp_comm_2d)\n CALL timeset(\"dbcsr_t_total\", handle)\n CALL dbcsr_t_contract_expert(alpha, tensor_1, tensor_2, beta, tensor_3, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n map_1, map_2, &\n bounds_1=bounds_1, &\n bounds_2=bounds_2, &\n bounds_3=bounds_3, &\n optimize_dist=optimize_dist, &\n pgrid_opt_1=pgrid_opt_1, &\n pgrid_opt_2=pgrid_opt_2, &\n pgrid_opt_3=pgrid_opt_3, &\n filter_eps=filter_eps, &\n flop=flop, &\n move_data=move_data, &\n retain_sparsity=retain_sparsity, &\n unit_nr=unit_nr, &\n log_verbose=log_verbose)\n CALL mp_sync(tensor_1%pgrid%mp_comm_2d)\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_contract_expert(alpha, tensor_1, tensor_2, beta, tensor_3, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n map_1, map_2, &\n bounds_1, bounds_2, bounds_3, &\n optimize_dist, pgrid_opt_1, pgrid_opt_2, pgrid_opt_3, &\n filter_eps, flop, move_data, retain_sparsity, &\n nblks_local, result_index, unit_nr, log_verbose)\n !! expert routine for tensor contraction. For internal use only.\n TYPE(dbcsr_scalar_type), INTENT(IN) :: alpha\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_1\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_2\n TYPE(dbcsr_scalar_type), INTENT(IN) :: beta\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_1\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_2\n INTEGER, DIMENSION(:), INTENT(IN) :: map_1\n INTEGER, DIMENSION(:), INTENT(IN) :: map_2\n INTEGER, DIMENSION(:), INTENT(IN) :: notcontract_1\n INTEGER, DIMENSION(:), INTENT(IN) :: notcontract_2\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_3\n INTEGER, DIMENSION(2, SIZE(contract_1)), &\n INTENT(IN), OPTIONAL :: bounds_1\n INTEGER, DIMENSION(2, SIZE(notcontract_1)), &\n INTENT(IN), OPTIONAL :: bounds_2\n INTEGER, DIMENSION(2, SIZE(notcontract_2)), &\n INTENT(IN), OPTIONAL :: bounds_3\n LOGICAL, INTENT(IN), OPTIONAL :: optimize_dist\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT), &\n POINTER, OPTIONAL :: pgrid_opt_1\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT), &\n POINTER, OPTIONAL :: pgrid_opt_2\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT), &\n POINTER, OPTIONAL :: pgrid_opt_3\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER(KIND=int_8), INTENT(OUT), OPTIONAL :: flop\n LOGICAL, INTENT(IN), OPTIONAL :: move_data\n LOGICAL, INTENT(IN), OPTIONAL :: retain_sparsity\n INTEGER, INTENT(OUT), OPTIONAL :: nblks_local\n !! number of local blocks on this MPI rank\n INTEGER, DIMENSION(dbcsr_t_max_nblks_local(tensor_3), ndims_tensor(tensor_3)), &\n OPTIONAL, INTENT(OUT) :: result_index\n !! get indices of non-zero tensor blocks for tensor_3 without actually performing contraction\n !! this is an estimate based on block norm multiplication\n INTEGER, OPTIONAL, INTENT(IN) :: unit_nr\n LOGICAL, INTENT(IN), OPTIONAL :: log_verbose\n\n TYPE(dbcsr_t_type), POINTER :: tensor_contr_1, tensor_contr_2, tensor_contr_3\n TYPE(dbcsr_t_type), TARGET :: tensor_algn_1, tensor_algn_2, tensor_algn_3\n TYPE(dbcsr_t_type), POINTER :: tensor_crop_1, tensor_crop_2\n TYPE(dbcsr_t_type), POINTER :: tensor_small, tensor_large\n\n INTEGER(int_8), DIMENSION(:, :), ALLOCATABLE :: result_index_2d\n LOGICAL :: assert_stmt, tensors_remapped\n INTEGER :: data_type, max_mm_dim, max_tensor, &\n iblk, nblk, unit_nr_prv, ref_tensor, &\n handle\n INTEGER, DIMENSION(SIZE(contract_1)) :: contract_1_mod\n INTEGER, DIMENSION(SIZE(notcontract_1)) :: notcontract_1_mod\n INTEGER, DIMENSION(SIZE(contract_2)) :: contract_2_mod\n INTEGER, DIMENSION(SIZE(notcontract_2)) :: notcontract_2_mod\n INTEGER, DIMENSION(SIZE(map_1)) :: map_1_mod\n INTEGER, DIMENSION(SIZE(map_2)) :: map_2_mod\n CHARACTER(LEN=1) :: trans_1, trans_2, trans_3\n LOGICAL :: new_1, new_2, new_3, move_data_1, move_data_2\n INTEGER :: ndims1, ndims2, ndims3\n INTEGER :: occ_1, occ_2\n INTEGER, DIMENSION(:), ALLOCATABLE :: dims1, dims2, dims3\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_contract'\n CHARACTER(LEN=1), DIMENSION(:), ALLOCATABLE :: indchar1, indchar2, indchar3, indchar1_mod, &\n indchar2_mod, indchar3_mod\n CHARACTER(LEN=1), DIMENSION(15) :: alph = &\n ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o']\n INTEGER, DIMENSION(2, ndims_tensor(tensor_1)) :: bounds_t1\n INTEGER, DIMENSION(2, ndims_tensor(tensor_2)) :: bounds_t2\n LOGICAL :: do_crop_1, do_crop_2, do_write_3, nodata_3, do_batched, pgrid_changed, &\n pgrid_changed_any, do_change_pgrid(2)\n TYPE(dbcsr_tas_split_info) :: split_opt, split, split_opt_avg\n INTEGER, DIMENSION(2) :: pdims_2d_opt, pdims_2d, pcoord_2d, pdims_sub, pdims_sub_opt\n LOGICAL, DIMENSION(2) :: periods_2d\n REAL(real_8) :: pdim_ratio, pdim_ratio_opt\n TYPE(mp_comm_type) :: mp_comm, mp_comm_opt\n\n NULLIFY (tensor_contr_1, tensor_contr_2, tensor_contr_3, tensor_crop_1, tensor_crop_2, &\n tensor_small)\n\n CALL timeset(routineN, handle)\n\n DBCSR_ASSERT(tensor_1%valid)\n DBCSR_ASSERT(tensor_2%valid)\n DBCSR_ASSERT(tensor_3%valid)\n\n assert_stmt = SIZE(contract_1) .EQ. SIZE(contract_2)\n DBCSR_ASSERT(assert_stmt)\n\n assert_stmt = SIZE(map_1) .EQ. SIZE(notcontract_1)\n DBCSR_ASSERT(assert_stmt)\n\n assert_stmt = SIZE(map_2) .EQ. SIZE(notcontract_2)\n DBCSR_ASSERT(assert_stmt)\n\n assert_stmt = SIZE(notcontract_1) + SIZE(contract_1) .EQ. ndims_tensor(tensor_1)\n DBCSR_ASSERT(assert_stmt)\n\n assert_stmt = SIZE(notcontract_2) + SIZE(contract_2) .EQ. ndims_tensor(tensor_2)\n DBCSR_ASSERT(assert_stmt)\n\n assert_stmt = SIZE(map_1) + SIZE(map_2) .EQ. ndims_tensor(tensor_3)\n DBCSR_ASSERT(assert_stmt)\n\n assert_stmt = dbcsr_t_get_data_type(tensor_1) .EQ. dbcsr_t_get_data_type(tensor_2)\n DBCSR_ASSERT(assert_stmt)\n\n unit_nr_prv = prep_output_unit(unit_nr)\n\n IF (PRESENT(flop)) flop = 0\n IF (PRESENT(result_index)) result_index = 0\n IF (PRESENT(nblks_local)) nblks_local = 0\n\n IF (PRESENT(move_data)) THEN\n move_data_1 = move_data\n move_data_2 = move_data\n ELSE\n move_data_1 = .FALSE.\n move_data_2 = .FALSE.\n END IF\n\n nodata_3 = .TRUE.\n IF (PRESENT(retain_sparsity)) THEN\n IF (retain_sparsity) nodata_3 = .FALSE.\n END IF\n\n CALL dbcsr_t_map_bounds_to_tensors(tensor_1, tensor_2, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n bounds_t1, bounds_t2, &\n bounds_1=bounds_1, bounds_2=bounds_2, bounds_3=bounds_3, &\n do_crop_1=do_crop_1, do_crop_2=do_crop_2)\n\n IF (do_crop_1) THEN\n ALLOCATE (tensor_crop_1)\n CALL dbcsr_t_crop(tensor_1, tensor_crop_1, bounds_t1, move_data=move_data_1)\n move_data_1 = .TRUE.\n ELSE\n tensor_crop_1 => tensor_1\n END IF\n\n IF (do_crop_2) THEN\n ALLOCATE (tensor_crop_2)\n CALL dbcsr_t_crop(tensor_2, tensor_crop_2, bounds_t2, move_data=move_data_2)\n move_data_2 = .TRUE.\n ELSE\n tensor_crop_2 => tensor_2\n END IF\n\n ! shortcut for empty tensors\n ! this is needed to avoid unnecessary work in case user contracts different portions of a\n ! tensor consecutively to save memory\n mp_comm = tensor_crop_1%pgrid%mp_comm_2d\n occ_1 = dbcsr_t_get_num_blocks(tensor_crop_1)\n CALL mp_max(occ_1, mp_comm)\n occ_2 = dbcsr_t_get_num_blocks(tensor_crop_2)\n CALL mp_max(occ_2, mp_comm)\n\n IF (occ_1 == 0 .OR. occ_2 == 0) THEN\n CALL dbcsr_t_scale(tensor_3, beta)\n IF (do_crop_1) THEN\n CALL dbcsr_t_destroy(tensor_crop_1)\n DEALLOCATE (tensor_crop_1)\n END IF\n IF (do_crop_2) THEN\n CALL dbcsr_t_destroy(tensor_crop_2)\n DEALLOCATE (tensor_crop_2)\n END IF\n\n CALL timestop(handle)\n RETURN\n END IF\n\n IF (unit_nr_prv /= 0) THEN\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(A)') repeat(\"-\", 80)\n WRITE (unit_nr_prv, '(A,1X,A,1X,A,1X,A,1X,A,1X,A)') \"DBCSR TENSOR CONTRACTION:\", &\n TRIM(tensor_crop_1%name), 'x', TRIM(tensor_crop_2%name), '=', TRIM(tensor_3%name)\n WRITE (unit_nr_prv, '(A)') repeat(\"-\", 80)\n END IF\n CALL dbcsr_t_write_tensor_info(tensor_crop_1, unit_nr_prv, full_info=log_verbose)\n CALL dbcsr_t_write_tensor_dist(tensor_crop_1, unit_nr_prv)\n CALL dbcsr_t_write_tensor_info(tensor_crop_2, unit_nr_prv, full_info=log_verbose)\n CALL dbcsr_t_write_tensor_dist(tensor_crop_2, unit_nr_prv)\n END IF\n\n data_type = dbcsr_t_get_data_type(tensor_crop_1)\n\n ! align tensor index with data, tensor data is not modified\n ndims1 = ndims_tensor(tensor_crop_1)\n ndims2 = ndims_tensor(tensor_crop_2)\n ndims3 = ndims_tensor(tensor_3)\n ALLOCATE (indchar1(ndims1), indchar1_mod(ndims1))\n ALLOCATE (indchar2(ndims2), indchar2_mod(ndims2))\n ALLOCATE (indchar3(ndims3), indchar3_mod(ndims3))\n\n ! labeling tensor index with letters\n\n indchar1([notcontract_1, contract_1]) = alph(1:ndims1) ! arb. choice\n indchar2(notcontract_2) = alph(ndims1 + 1:ndims1 + SIZE(notcontract_2)) ! arb. choice\n indchar2(contract_2) = indchar1(contract_1)\n indchar3(map_1) = indchar1(notcontract_1)\n indchar3(map_2) = indchar2(notcontract_2)\n\n IF (unit_nr_prv /= 0) CALL dbcsr_t_print_contraction_index(tensor_crop_1, indchar1, &\n tensor_crop_2, indchar2, &\n tensor_3, indchar3, unit_nr_prv)\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(T2,A)') \"aligning tensor index with data\"\n END IF\n\n CALL align_tensor(tensor_crop_1, contract_1, notcontract_1, &\n tensor_algn_1, contract_1_mod, notcontract_1_mod, indchar1, indchar1_mod)\n\n CALL align_tensor(tensor_crop_2, contract_2, notcontract_2, &\n tensor_algn_2, contract_2_mod, notcontract_2_mod, indchar2, indchar2_mod)\n\n CALL align_tensor(tensor_3, map_1, map_2, &\n tensor_algn_3, map_1_mod, map_2_mod, indchar3, indchar3_mod)\n\n IF (unit_nr_prv /= 0) CALL dbcsr_t_print_contraction_index(tensor_algn_1, indchar1_mod, &\n tensor_algn_2, indchar2_mod, &\n tensor_algn_3, indchar3_mod, unit_nr_prv)\n\n ALLOCATE (dims1(ndims1))\n ALLOCATE (dims2(ndims2))\n ALLOCATE (dims3(ndims3))\n\n ! ideally we should consider block sizes and occupancy to measure tensor sizes but current solution should work for most\n ! cases and is more elegant. Note that we can not easily consider occupancy since it is unknown for result tensor\n CALL blk_dims_tensor(tensor_crop_1, dims1)\n CALL blk_dims_tensor(tensor_crop_2, dims2)\n CALL blk_dims_tensor(tensor_3, dims3)\n\n max_mm_dim = MAXLOC([PRODUCT(INT(dims1(notcontract_1), int_8)), &\n PRODUCT(INT(dims1(contract_1), int_8)), &\n PRODUCT(INT(dims2(notcontract_2), int_8))], DIM=1)\n max_tensor = MAXLOC([PRODUCT(INT(dims1, int_8)), PRODUCT(INT(dims2, int_8)), PRODUCT(INT(dims3, int_8))], DIM=1)\n SELECT CASE (max_mm_dim)\n CASE (1)\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(T2,A)') \"large tensors: 1, 3; small tensor: 2\"\n WRITE (unit_nr_prv, '(T2,A)') \"sorting contraction indices\"\n END IF\n CALL index_linked_sort(contract_1_mod, contract_2_mod)\n CALL index_linked_sort(map_2_mod, notcontract_2_mod)\n SELECT CASE (max_tensor)\n CASE (1)\n CALL index_linked_sort(notcontract_1_mod, map_1_mod)\n CASE (3)\n CALL index_linked_sort(map_1_mod, notcontract_1_mod)\n CASE DEFAULT\n DBCSR_ABORT(\"should not happen\")\n END SELECT\n\n CALL reshape_mm_compatible(tensor_algn_1, tensor_algn_3, tensor_contr_1, tensor_contr_3, &\n contract_1_mod, notcontract_1_mod, map_2_mod, map_1_mod, &\n trans_1, trans_3, new_1, new_3, ref_tensor, nodata2=nodata_3, optimize_dist=optimize_dist, &\n move_data_1=move_data_1, unit_nr=unit_nr_prv)\n\n CALL reshape_mm_small(tensor_algn_2, contract_2_mod, notcontract_2_mod, tensor_contr_2, trans_2, &\n new_2, move_data=move_data_2, unit_nr=unit_nr_prv)\n\n SELECT CASE (ref_tensor)\n CASE (1)\n tensor_large => tensor_contr_1\n CASE (2)\n tensor_large => tensor_contr_3\n END SELECT\n tensor_small => tensor_contr_2\n\n CASE (2)\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(T2,A)') \"large tensors: 1, 2; small tensor: 3\"\n WRITE (unit_nr_prv, '(T2,A)') \"sorting contraction indices\"\n END IF\n\n CALL index_linked_sort(notcontract_1_mod, map_1_mod)\n CALL index_linked_sort(notcontract_2_mod, map_2_mod)\n SELECT CASE (max_tensor)\n CASE (1)\n CALL index_linked_sort(contract_1_mod, contract_2_mod)\n CASE (2)\n CALL index_linked_sort(contract_2_mod, contract_1_mod)\n CASE DEFAULT\n DBCSR_ABORT(\"should not happen\")\n END SELECT\n\n CALL reshape_mm_compatible(tensor_algn_1, tensor_algn_2, tensor_contr_1, tensor_contr_2, &\n notcontract_1_mod, contract_1_mod, notcontract_2_mod, contract_2_mod, &\n trans_1, trans_2, new_1, new_2, ref_tensor, optimize_dist=optimize_dist, &\n move_data_1=move_data_1, move_data_2=move_data_2, unit_nr=unit_nr_prv)\n CALL invert_transpose_flag(trans_1)\n\n CALL reshape_mm_small(tensor_algn_3, map_1_mod, map_2_mod, tensor_contr_3, trans_3, &\n new_3, nodata=nodata_3, unit_nr=unit_nr_prv)\n\n SELECT CASE (ref_tensor)\n CASE (1)\n tensor_large => tensor_contr_1\n CASE (2)\n tensor_large => tensor_contr_2\n END SELECT\n tensor_small => tensor_contr_3\n\n CASE (3)\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(T2,A)') \"large tensors: 2, 3; small tensor: 1\"\n WRITE (unit_nr_prv, '(T2,A)') \"sorting contraction indices\"\n END IF\n CALL index_linked_sort(map_1_mod, notcontract_1_mod)\n CALL index_linked_sort(contract_2_mod, contract_1_mod)\n SELECT CASE (max_tensor)\n CASE (2)\n CALL index_linked_sort(notcontract_2_mod, map_2_mod)\n CASE (3)\n CALL index_linked_sort(map_2_mod, notcontract_2_mod)\n CASE DEFAULT\n DBCSR_ABORT(\"should not happen\")\n END SELECT\n\n CALL reshape_mm_compatible(tensor_algn_2, tensor_algn_3, tensor_contr_2, tensor_contr_3, &\n contract_2_mod, notcontract_2_mod, map_1_mod, map_2_mod, &\n trans_2, trans_3, new_2, new_3, ref_tensor, nodata2=nodata_3, optimize_dist=optimize_dist, &\n move_data_1=move_data_2, unit_nr=unit_nr_prv)\n\n CALL invert_transpose_flag(trans_2)\n CALL invert_transpose_flag(trans_3)\n\n CALL reshape_mm_small(tensor_algn_1, notcontract_1_mod, contract_1_mod, tensor_contr_1, &\n trans_1, new_1, move_data=move_data_1, unit_nr=unit_nr_prv)\n\n SELECT CASE (ref_tensor)\n CASE (1)\n tensor_large => tensor_contr_2\n CASE (2)\n tensor_large => tensor_contr_3\n END SELECT\n tensor_small => tensor_contr_1\n\n END SELECT\n\n IF (unit_nr_prv /= 0) CALL dbcsr_t_print_contraction_index(tensor_contr_1, indchar1_mod, &\n tensor_contr_2, indchar2_mod, &\n tensor_contr_3, indchar3_mod, unit_nr_prv)\n IF (unit_nr_prv /= 0) THEN\n IF (new_1) CALL dbcsr_t_write_tensor_info(tensor_contr_1, unit_nr_prv, full_info=log_verbose)\n IF (new_1) CALL dbcsr_t_write_tensor_dist(tensor_contr_1, unit_nr_prv)\n IF (new_2) CALL dbcsr_t_write_tensor_info(tensor_contr_2, unit_nr_prv, full_info=log_verbose)\n IF (new_2) CALL dbcsr_t_write_tensor_dist(tensor_contr_2, unit_nr_prv)\n END IF\n\n IF (.NOT. PRESENT(result_index)) THEN\n CALL dbcsr_tas_multiply(trans_1, trans_2, trans_3, alpha, &\n tensor_contr_1%matrix_rep, tensor_contr_2%matrix_rep, &\n beta, &\n tensor_contr_3%matrix_rep, filter_eps=filter_eps, flop=flop, &\n unit_nr=unit_nr_prv, log_verbose=log_verbose, &\n split_opt=split_opt, &\n move_data_a=move_data_1, move_data_b=move_data_2, retain_sparsity=retain_sparsity)\n ELSE\n\n CALL dbcsr_tas_result_index(trans_1, trans_2, trans_3, tensor_contr_1%matrix_rep, tensor_contr_2%matrix_rep, &\n tensor_contr_3%matrix_rep, filter_eps=filter_eps, blk_ind=result_index_2d)\n\n nblk = SIZE(result_index_2d, 1)\n IF (PRESENT(nblks_local)) nblks_local = nblk\n IF (SIZE(result_index, 1) < nblk) THEN\n CALL dbcsr_abort(__LOCATION__, &\n \"allocated size of `result_index` is too small. This error occurs due to a high load imbalance of distributed tensor data.\")\n END IF\n\n DO iblk = 1, nblk\n result_index(iblk, :) = get_nd_indices_tensor(tensor_contr_3%nd_index_blk, result_index_2d(iblk, :))\n END DO\n\n IF (new_1) THEN\n CALL dbcsr_t_destroy(tensor_contr_1)\n DEALLOCATE (tensor_contr_1)\n END IF\n IF (new_2) THEN\n CALL dbcsr_t_destroy(tensor_contr_2)\n DEALLOCATE (tensor_contr_2)\n END IF\n IF (new_3) THEN\n CALL dbcsr_t_destroy(tensor_contr_3)\n DEALLOCATE (tensor_contr_3)\n END IF\n IF (do_crop_1) THEN\n CALL dbcsr_t_destroy(tensor_crop_1)\n DEALLOCATE (tensor_crop_1)\n END IF\n IF (do_crop_2) THEN\n CALL dbcsr_t_destroy(tensor_crop_2)\n DEALLOCATE (tensor_crop_2)\n END IF\n\n CALL dbcsr_t_destroy(tensor_algn_1)\n CALL dbcsr_t_destroy(tensor_algn_2)\n CALL dbcsr_t_destroy(tensor_algn_3)\n\n CALL timestop(handle)\n RETURN\n END IF\n\n IF (PRESENT(pgrid_opt_1)) THEN\n IF (.NOT. new_1) THEN\n ALLOCATE (pgrid_opt_1)\n pgrid_opt_1 = opt_pgrid(tensor_1, split_opt)\n END IF\n END IF\n\n IF (PRESENT(pgrid_opt_2)) THEN\n IF (.NOT. new_2) THEN\n ALLOCATE (pgrid_opt_2)\n pgrid_opt_2 = opt_pgrid(tensor_2, split_opt)\n END IF\n END IF\n\n IF (PRESENT(pgrid_opt_3)) THEN\n IF (.NOT. new_3) THEN\n ALLOCATE (pgrid_opt_3)\n pgrid_opt_3 = opt_pgrid(tensor_3, split_opt)\n END IF\n END IF\n\n do_batched = tensor_small%matrix_rep%do_batched > 0\n\n tensors_remapped = .FALSE.\n IF (new_1 .OR. new_2 .OR. new_3) tensors_remapped = .TRUE.\n\n IF (tensors_remapped .AND. do_batched) THEN\n CALL dbcsr_warn(__LOCATION__, &\n \"Internal process grid optimization disabled because tensors are not in contraction-compatible format\")\n END IF\n\n CALL mp_environ(tensor_large%pgrid%mp_comm_2d, 2, pdims_2d, pcoord_2d, periods_2d)\n\n ! optimize process grid during batched contraction\n do_change_pgrid(:) = .FALSE.\n IF ((.NOT. tensors_remapped) .AND. do_batched) THEN\n ASSOCIATE (storage => tensor_small%contraction_storage)\n DBCSR_ASSERT(storage%static)\n split = dbcsr_tas_info(tensor_large%matrix_rep)\n do_change_pgrid(:) = &\n update_contraction_storage(storage, split_opt, split)\n\n IF (ANY(do_change_pgrid)) THEN\n mp_comm_opt = dbcsr_tas_mp_comm(tensor_small%pgrid%mp_comm_2d, split_opt%split_rowcol, NINT(storage%nsplit_avg))\n CALL dbcsr_tas_create_split(split_opt_avg, mp_comm_opt, split_opt%split_rowcol, &\n NINT(storage%nsplit_avg), own_comm=.TRUE.)\n CALL mp_environ(split_opt_avg%mp_comm, 2, pdims_2d_opt, pcoord_2d, periods_2d)\n END IF\n\n END ASSOCIATE\n\n IF (do_change_pgrid(1) .AND. .NOT. do_change_pgrid(2)) THEN\n ! check if new grid has better subgrid, if not there is no need to change process grid\n CALL mp_environ(split_opt_avg%mp_comm_group, 2, pdims_sub_opt, pcoord_2d, periods_2d)\n CALL mp_environ(split%mp_comm_group, 2, pdims_sub, pcoord_2d, periods_2d)\n\n pdim_ratio = MAXVAL(REAL(pdims_sub, real_8))/MINVAL(pdims_sub)\n pdim_ratio_opt = MAXVAL(REAL(pdims_sub_opt, real_8))/MINVAL(pdims_sub_opt)\n IF (pdim_ratio/pdim_ratio_opt <= default_pdims_accept_ratio**2) THEN\n do_change_pgrid(1) = .FALSE.\n CALL dbcsr_tas_release_info(split_opt_avg)\n END IF\n END IF\n END IF\n\n IF (unit_nr_prv /= 0) THEN\n do_write_3 = .TRUE.\n IF (tensor_contr_3%matrix_rep%do_batched > 0) THEN\n IF (tensor_contr_3%matrix_rep%mm_storage%batched_out) do_write_3 = .FALSE.\n END IF\n IF (do_write_3) THEN\n CALL dbcsr_t_write_tensor_info(tensor_contr_3, unit_nr_prv, full_info=log_verbose)\n CALL dbcsr_t_write_tensor_dist(tensor_contr_3, unit_nr_prv)\n END IF\n END IF\n\n IF (new_3) THEN\n ! need redistribute if we created new tensor for tensor 3\n CALL dbcsr_t_scale(tensor_algn_3, beta)\n CALL dbcsr_t_copy_expert(tensor_contr_3, tensor_algn_3, summation=.TRUE., move_data=.TRUE.)\n IF (PRESENT(filter_eps)) CALL dbcsr_t_filter(tensor_algn_3, filter_eps)\n ! tensor_3 automatically has correct data because tensor_algn_3 contains a matrix\n ! pointer to data of tensor_3\n END IF\n\n ! transfer contraction storage\n CALL dbcsr_t_copy_contraction_storage(tensor_contr_1, tensor_1)\n CALL dbcsr_t_copy_contraction_storage(tensor_contr_2, tensor_2)\n CALL dbcsr_t_copy_contraction_storage(tensor_contr_3, tensor_3)\n\n IF (unit_nr_prv /= 0) THEN\n IF (new_3 .AND. do_write_3) CALL dbcsr_t_write_tensor_info(tensor_3, unit_nr_prv, full_info=log_verbose)\n IF (new_3 .AND. do_write_3) CALL dbcsr_t_write_tensor_dist(tensor_3, unit_nr_prv)\n END IF\n\n CALL dbcsr_t_destroy(tensor_algn_1)\n CALL dbcsr_t_destroy(tensor_algn_2)\n CALL dbcsr_t_destroy(tensor_algn_3)\n\n IF (do_crop_1) THEN\n CALL dbcsr_t_destroy(tensor_crop_1)\n DEALLOCATE (tensor_crop_1)\n END IF\n\n IF (do_crop_2) THEN\n CALL dbcsr_t_destroy(tensor_crop_2)\n DEALLOCATE (tensor_crop_2)\n END IF\n\n IF (new_1) THEN\n CALL dbcsr_t_destroy(tensor_contr_1)\n DEALLOCATE (tensor_contr_1)\n END IF\n IF (new_2) THEN\n CALL dbcsr_t_destroy(tensor_contr_2)\n DEALLOCATE (tensor_contr_2)\n END IF\n IF (new_3) THEN\n CALL dbcsr_t_destroy(tensor_contr_3)\n DEALLOCATE (tensor_contr_3)\n END IF\n\n IF (PRESENT(move_data)) THEN\n IF (move_data) THEN\n CALL dbcsr_t_clear(tensor_1)\n CALL dbcsr_t_clear(tensor_2)\n END IF\n END IF\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(A)') repeat(\"-\", 80)\n WRITE (unit_nr_prv, '(A)') \"TENSOR CONTRACTION DONE\"\n WRITE (unit_nr_prv, '(A)') repeat(\"-\", 80)\n END IF\n\n IF (ANY(do_change_pgrid)) THEN\n pgrid_changed_any = .FALSE.\n SELECT CASE (max_mm_dim)\n CASE (1)\n IF (ALLOCATED(tensor_1%contraction_storage) .AND. ALLOCATED(tensor_3%contraction_storage)) THEN\n CALL dbcsr_t_change_pgrid_2d(tensor_1, tensor_1%pgrid%mp_comm_2d, pdims=pdims_2d_opt, &\n nsplit=split_opt_avg%ngroup, dimsplit=split_opt_avg%split_rowcol, &\n pgrid_changed=pgrid_changed, &\n unit_nr=unit_nr_prv)\n IF (pgrid_changed) pgrid_changed_any = .TRUE.\n CALL dbcsr_t_change_pgrid_2d(tensor_3, tensor_3%pgrid%mp_comm_2d, pdims=pdims_2d_opt, &\n nsplit=split_opt_avg%ngroup, dimsplit=split_opt_avg%split_rowcol, &\n pgrid_changed=pgrid_changed, &\n unit_nr=unit_nr_prv)\n IF (pgrid_changed) pgrid_changed_any = .TRUE.\n END IF\n IF (pgrid_changed_any) THEN\n IF (tensor_2%matrix_rep%do_batched == 3) THEN\n ! set flag that process grid has been optimized to make sure that no grid optimizations are done\n ! in TAS multiply algorithm\n CALL dbcsr_tas_batched_mm_complete(tensor_2%matrix_rep)\n END IF\n END IF\n CASE (2)\n IF (ALLOCATED(tensor_1%contraction_storage) .AND. ALLOCATED(tensor_2%contraction_storage)) THEN\n CALL dbcsr_t_change_pgrid_2d(tensor_1, tensor_1%pgrid%mp_comm_2d, pdims=pdims_2d_opt, &\n nsplit=split_opt_avg%ngroup, dimsplit=split_opt_avg%split_rowcol, &\n pgrid_changed=pgrid_changed, &\n unit_nr=unit_nr_prv)\n IF (pgrid_changed) pgrid_changed_any = .TRUE.\n CALL dbcsr_t_change_pgrid_2d(tensor_2, tensor_2%pgrid%mp_comm_2d, pdims=pdims_2d_opt, &\n nsplit=split_opt_avg%ngroup, dimsplit=split_opt_avg%split_rowcol, &\n pgrid_changed=pgrid_changed, &\n unit_nr=unit_nr_prv)\n IF (pgrid_changed) pgrid_changed_any = .TRUE.\n END IF\n IF (pgrid_changed_any) THEN\n IF (tensor_3%matrix_rep%do_batched == 3) THEN\n CALL dbcsr_tas_batched_mm_complete(tensor_3%matrix_rep)\n END IF\n END IF\n CASE (3)\n IF (ALLOCATED(tensor_2%contraction_storage) .AND. ALLOCATED(tensor_3%contraction_storage)) THEN\n CALL dbcsr_t_change_pgrid_2d(tensor_2, tensor_2%pgrid%mp_comm_2d, pdims=pdims_2d_opt, &\n nsplit=split_opt_avg%ngroup, dimsplit=split_opt_avg%split_rowcol, &\n pgrid_changed=pgrid_changed, &\n unit_nr=unit_nr_prv)\n IF (pgrid_changed) pgrid_changed_any = .TRUE.\n CALL dbcsr_t_change_pgrid_2d(tensor_3, tensor_3%pgrid%mp_comm_2d, pdims=pdims_2d_opt, &\n nsplit=split_opt_avg%ngroup, dimsplit=split_opt_avg%split_rowcol, &\n pgrid_changed=pgrid_changed, &\n unit_nr=unit_nr_prv)\n IF (pgrid_changed) pgrid_changed_any = .TRUE.\n END IF\n IF (pgrid_changed_any) THEN\n IF (tensor_1%matrix_rep%do_batched == 3) THEN\n CALL dbcsr_tas_batched_mm_complete(tensor_1%matrix_rep)\n END IF\n END IF\n END SELECT\n CALL dbcsr_tas_release_info(split_opt_avg)\n END IF\n\n IF ((.NOT. tensors_remapped) .AND. do_batched) THEN\n ! freeze TAS process grids if tensor grids were optimized\n CALL dbcsr_tas_set_batched_state(tensor_1%matrix_rep, opt_grid=.TRUE.)\n CALL dbcsr_tas_set_batched_state(tensor_2%matrix_rep, opt_grid=.TRUE.)\n CALL dbcsr_tas_set_batched_state(tensor_3%matrix_rep, opt_grid=.TRUE.)\n END IF\n\n CALL dbcsr_tas_release_info(split_opt)\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE align_tensor(tensor_in, contract_in, notcontract_in, &\n !! align tensor index with data\n tensor_out, contract_out, notcontract_out, indp_in, indp_out)\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_in, notcontract_in\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor_out\n INTEGER, DIMENSION(SIZE(contract_in)), &\n INTENT(OUT) :: contract_out\n INTEGER, DIMENSION(SIZE(notcontract_in)), &\n INTENT(OUT) :: notcontract_out\n CHARACTER(LEN=1), DIMENSION(ndims_tensor(tensor_in)), INTENT(IN) :: indp_in\n CHARACTER(LEN=1), DIMENSION(ndims_tensor(tensor_in)), INTENT(OUT) :: indp_out\n INTEGER, DIMENSION(ndims_tensor(tensor_in)) :: align\n\n CALL dbcsr_t_align_index(tensor_in, tensor_out, order=align)\n contract_out = align(contract_in)\n notcontract_out = align(notcontract_in)\n indp_out(align) = indp_in\n\n END SUBROUTINE\n\n SUBROUTINE reshape_mm_compatible(tensor1, tensor2, tensor1_out, tensor2_out, ind1_free, ind1_linked, &\n ind2_free, ind2_linked, trans1, trans2, new1, new2, ref_tensor, &\n nodata1, nodata2, move_data_1, &\n move_data_2, optimize_dist, unit_nr)\n !! Prepare tensor for contraction: redistribute to a 2d format which can be contracted by\n !! matrix multiplication. This routine reshapes the two largest of the three tensors. Redistribution\n !! is avoided if tensors already in a consistent layout.\n\n TYPE(dbcsr_t_type), TARGET, INTENT(INOUT) :: tensor1\n !! tensor 1 in\n TYPE(dbcsr_t_type), TARGET, INTENT(INOUT) :: tensor2\n !! tensor 2 in\n TYPE(dbcsr_t_type), POINTER, INTENT(OUT) :: tensor1_out, tensor2_out\n !! tensor 1 out\n !! tensor 2 out\n INTEGER, DIMENSION(:), INTENT(IN) :: ind1_free, ind2_free\n !! indices of tensor 1 that are \"free\" (not linked to any index of tensor 2)\n INTEGER, DIMENSION(:), INTENT(IN) :: ind1_linked, ind2_linked\n !! indices of tensor 1 that are linked to indices of tensor 2\n !! 1:1 correspondence with ind1_linked\n CHARACTER(LEN=1), INTENT(OUT) :: trans1, trans2\n !! transpose flag of matrix rep. of tensor 1\n !! transpose flag of matrix rep. tensor 2\n LOGICAL, INTENT(OUT) :: new1, new2\n !! whether a new tensor 1 was created\n !! whether a new tensor 2 was created\n INTEGER, INTENT(OUT) :: ref_tensor\n LOGICAL, INTENT(IN), OPTIONAL :: nodata1, nodata2\n !! don't copy data of tensor 1\n !! don't copy data of tensor 2\n LOGICAL, INTENT(INOUT), OPTIONAL :: move_data_1, move_data_2\n !! memory optimization: transfer data s.t. tensor1 may be empty on return\n !! memory optimization: transfer data s.t. tensor2 may be empty on return\n LOGICAL, INTENT(IN), OPTIONAL :: optimize_dist\n !! experimental: optimize distribution\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n !! output unit\n INTEGER :: compat1, compat1_old, compat2, compat2_old, &\n unit_nr_prv\n TYPE(array_list) :: dist_list\n INTEGER, DIMENSION(:), ALLOCATABLE :: mp_dims\n TYPE(dbcsr_t_distribution_type) :: dist_in\n INTEGER(KIND=int_8) :: nblkrows, nblkcols\n LOGICAL :: optimize_dist_prv\n INTEGER, DIMENSION(ndims_tensor(tensor1)) :: dims1\n INTEGER, DIMENSION(ndims_tensor(tensor2)) :: dims2\n TYPE(mp_comm_type) :: comm_2d\n\n NULLIFY (tensor1_out, tensor2_out)\n\n unit_nr_prv = prep_output_unit(unit_nr)\n\n CALL blk_dims_tensor(tensor1, dims1)\n CALL blk_dims_tensor(tensor2, dims2)\n\n IF (PRODUCT(int(dims1, int_8)) .GE. PRODUCT(int(dims2, int_8))) THEN\n ref_tensor = 1\n ELSE\n ref_tensor = 2\n END IF\n\n IF (PRESENT(optimize_dist)) THEN\n optimize_dist_prv = optimize_dist\n ELSE\n optimize_dist_prv = .FALSE.\n END IF\n\n compat1 = compat_map(tensor1%nd_index, ind1_linked)\n compat2 = compat_map(tensor2%nd_index, ind2_linked)\n compat1_old = compat1\n compat2_old = compat2\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(T2,A,1X,A,A,1X)', advance='no') \"compatibility of\", TRIM(tensor1%name), \":\"\n SELECT CASE (compat1)\n CASE (0)\n WRITE (unit_nr_prv, '(A)') \"Not compatible\"\n CASE (1)\n WRITE (unit_nr_prv, '(A)') \"Normal\"\n CASE (2)\n WRITE (unit_nr_prv, '(A)') \"Transposed\"\n END SELECT\n WRITE (unit_nr_prv, '(T2,A,1X,A,A,1X)', advance='no') \"compatibility of\", TRIM(tensor2%name), \":\"\n SELECT CASE (compat2)\n CASE (0)\n WRITE (unit_nr_prv, '(A)') \"Not compatible\"\n CASE (1)\n WRITE (unit_nr_prv, '(A)') \"Normal\"\n CASE (2)\n WRITE (unit_nr_prv, '(A)') \"Transposed\"\n END SELECT\n END IF\n\n new1 = .FALSE.\n new2 = .FALSE.\n\n IF (compat1 == 0 .OR. optimize_dist_prv) THEN\n new1 = .TRUE.\n END IF\n\n IF (compat2 == 0 .OR. optimize_dist_prv) THEN\n new2 = .TRUE.\n END IF\n\n IF (ref_tensor == 1) THEN ! tensor 1 is reference and tensor 2 is reshaped compatible with tensor 1\n IF (compat1 == 0 .OR. optimize_dist_prv) THEN ! tensor 1 is not contraction compatible --> reshape\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A)') \"Redistribution of\", TRIM(tensor1%name)\n nblkrows = PRODUCT(INT(dims1(ind1_linked), KIND=int_8))\n nblkcols = PRODUCT(INT(dims1(ind1_free), KIND=int_8))\n comm_2d = dbcsr_tas_mp_comm(tensor1%pgrid%mp_comm_2d, nblkrows, nblkcols)\n ALLOCATE (tensor1_out)\n CALL dbcsr_t_remap(tensor1, ind1_linked, ind1_free, tensor1_out, comm_2d=comm_2d, &\n nodata=nodata1, move_data=move_data_1)\n CALL mp_comm_free(comm_2d)\n compat1 = 1\n ELSE\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A)') \"No redistribution of\", TRIM(tensor1%name)\n tensor1_out => tensor1\n END IF\n IF (compat2 == 0 .OR. optimize_dist_prv) THEN ! tensor 2 is not contraction compatible --> reshape\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A,1X,A,1X,A)') \"Redistribution of\", &\n TRIM(tensor2%name), \"compatible with\", TRIM(tensor1%name)\n dist_in = dbcsr_t_distribution(tensor1_out)\n dist_list = array_sublist(dist_in%nd_dist, ind1_linked)\n IF (compat1 == 1) THEN ! linked index is first 2d dimension\n ! get distribution of linked index, tensor 2 must adopt this distribution\n ! get grid dimensions of linked index\n ALLOCATE (mp_dims(ndims_mapping_row(dist_in%pgrid%nd_index_grid)))\n CALL dbcsr_t_get_mapping_info(dist_in%pgrid%nd_index_grid, dims1_2d=mp_dims)\n ALLOCATE (tensor2_out)\n CALL dbcsr_t_remap(tensor2, ind2_linked, ind2_free, tensor2_out, comm_2d=dist_in%pgrid%mp_comm_2d, &\n dist1=dist_list, mp_dims_1=mp_dims, nodata=nodata2, move_data=move_data_2)\n ELSEIF (compat1 == 2) THEN ! linked index is second 2d dimension\n ! get distribution of linked index, tensor 2 must adopt this distribution\n ! get grid dimensions of linked index\n ALLOCATE (mp_dims(ndims_mapping_column(dist_in%pgrid%nd_index_grid)))\n CALL dbcsr_t_get_mapping_info(dist_in%pgrid%nd_index_grid, dims2_2d=mp_dims)\n ALLOCATE (tensor2_out)\n CALL dbcsr_t_remap(tensor2, ind2_free, ind2_linked, tensor2_out, comm_2d=dist_in%pgrid%mp_comm_2d, &\n dist2=dist_list, mp_dims_2=mp_dims, nodata=nodata2, move_data=move_data_2)\n ELSE\n DBCSR_ABORT(\"should not happen\")\n END IF\n compat2 = compat1\n ELSE\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A)') \"No redistribution of\", TRIM(tensor2%name)\n tensor2_out => tensor2\n END IF\n ELSE ! tensor 2 is reference and tensor 1 is reshaped compatible with tensor 2\n IF (compat2 == 0 .OR. optimize_dist_prv) THEN ! tensor 2 is not contraction compatible --> reshape\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A)') \"Redistribution of\", TRIM(tensor2%name)\n nblkrows = PRODUCT(INT(dims2(ind2_linked), KIND=int_8))\n nblkcols = PRODUCT(INT(dims2(ind2_free), KIND=int_8))\n comm_2d = dbcsr_tas_mp_comm(tensor2%pgrid%mp_comm_2d, nblkrows, nblkcols)\n ALLOCATE (tensor2_out)\n CALL dbcsr_t_remap(tensor2, ind2_linked, ind2_free, tensor2_out, nodata=nodata2, move_data=move_data_2)\n CALL mp_comm_free(comm_2d)\n compat2 = 1\n ELSE\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A)') \"No redistribution of\", TRIM(tensor2%name)\n tensor2_out => tensor2\n END IF\n IF (compat1 == 0 .OR. optimize_dist_prv) THEN ! tensor 1 is not contraction compatible --> reshape\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A,1X,A,1X,A)') \"Redistribution of\", TRIM(tensor1%name), &\n \"compatible with\", TRIM(tensor2%name)\n dist_in = dbcsr_t_distribution(tensor2_out)\n dist_list = array_sublist(dist_in%nd_dist, ind2_linked)\n IF (compat2 == 1) THEN\n ALLOCATE (mp_dims(ndims_mapping_row(dist_in%pgrid%nd_index_grid)))\n CALL dbcsr_t_get_mapping_info(dist_in%pgrid%nd_index_grid, dims1_2d=mp_dims)\n ALLOCATE (tensor1_out)\n CALL dbcsr_t_remap(tensor1, ind1_linked, ind1_free, tensor1_out, comm_2d=dist_in%pgrid%mp_comm_2d, &\n dist1=dist_list, mp_dims_1=mp_dims, nodata=nodata1, move_data=move_data_1)\n ELSEIF (compat2 == 2) THEN\n ALLOCATE (mp_dims(ndims_mapping_column(dist_in%pgrid%nd_index_grid)))\n CALL dbcsr_t_get_mapping_info(dist_in%pgrid%nd_index_grid, dims2_2d=mp_dims)\n ALLOCATE (tensor1_out)\n CALL dbcsr_t_remap(tensor1, ind1_free, ind1_linked, tensor1_out, comm_2d=dist_in%pgrid%mp_comm_2d, &\n dist2=dist_list, mp_dims_2=mp_dims, nodata=nodata1, move_data=move_data_1)\n ELSE\n DBCSR_ABORT(\"should not happen\")\n END IF\n compat1 = compat2\n ELSE\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A)') \"No redistribution of\", TRIM(tensor1%name)\n tensor1_out => tensor1\n END IF\n END IF\n\n SELECT CASE (compat1)\n CASE (1)\n trans1 = dbcsr_no_transpose\n CASE (2)\n trans1 = dbcsr_transpose\n CASE DEFAULT\n DBCSR_ABORT(\"should not happen\")\n END SELECT\n\n SELECT CASE (compat2)\n CASE (1)\n trans2 = dbcsr_no_transpose\n CASE (2)\n trans2 = dbcsr_transpose\n CASE DEFAULT\n DBCSR_ABORT(\"should not happen\")\n END SELECT\n\n IF (unit_nr_prv > 0) THEN\n IF (compat1 .NE. compat1_old) THEN\n WRITE (unit_nr_prv, '(T2,A,1X,A,A,1X)', advance='no') \"compatibility of\", TRIM(tensor1_out%name), \":\"\n SELECT CASE (compat1)\n CASE (0)\n WRITE (unit_nr_prv, '(A)') \"Not compatible\"\n CASE (1)\n WRITE (unit_nr_prv, '(A)') \"Normal\"\n CASE (2)\n WRITE (unit_nr_prv, '(A)') \"Transposed\"\n END SELECT\n END IF\n IF (compat2 .NE. compat2_old) THEN\n WRITE (unit_nr_prv, '(T2,A,1X,A,A,1X)', advance='no') \"compatibility of\", TRIM(tensor2_out%name), \":\"\n SELECT CASE (compat2)\n CASE (0)\n WRITE (unit_nr_prv, '(A)') \"Not compatible\"\n CASE (1)\n WRITE (unit_nr_prv, '(A)') \"Normal\"\n CASE (2)\n WRITE (unit_nr_prv, '(A)') \"Transposed\"\n END SELECT\n END IF\n END IF\n\n IF (new1 .AND. PRESENT(move_data_1)) move_data_1 = .TRUE.\n IF (new2 .AND. PRESENT(move_data_2)) move_data_2 = .TRUE.\n\n END SUBROUTINE\n\n SUBROUTINE reshape_mm_small(tensor_in, ind1, ind2, tensor_out, trans, new, nodata, move_data, unit_nr)\n !! Prepare tensor for contraction: redistribute to a 2d format which can be contracted by\n !! matrix multiplication. This routine reshapes the smallest of the three tensors.\n\n TYPE(dbcsr_t_type), TARGET, INTENT(INOUT) :: tensor_in\n !! tensor in\n INTEGER, DIMENSION(:), INTENT(IN) :: ind1, ind2\n !! index that should be mapped to first matrix dimension\n !! index that should be mapped to second matrix dimension\n TYPE(dbcsr_t_type), POINTER, INTENT(OUT) :: tensor_out\n !! tensor out\n CHARACTER(LEN=1), INTENT(OUT) :: trans\n !! transpose flag of matrix rep.\n LOGICAL, INTENT(OUT) :: new\n !! whether a new tensor was created for tensor_out\n LOGICAL, INTENT(IN), OPTIONAL :: nodata, move_data\n !! don't copy tensor data\n !! memory optimization: transfer data s.t. tensor_in may be empty on return\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n !! output unit\n INTEGER :: compat1, compat2, compat1_old, compat2_old, unit_nr_prv\n LOGICAL :: nodata_prv\n\n NULLIFY (tensor_out)\n IF (PRESENT(nodata)) THEN\n nodata_prv = nodata\n ELSE\n nodata_prv = .FALSE.\n END IF\n\n unit_nr_prv = prep_output_unit(unit_nr)\n\n new = .FALSE.\n compat1 = compat_map(tensor_in%nd_index, ind1)\n compat2 = compat_map(tensor_in%nd_index, ind2)\n compat1_old = compat1; compat2_old = compat2\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(T2,A,1X,A,A,1X)', advance='no') \"compatibility of\", TRIM(tensor_in%name), \":\"\n IF (compat1 == 1 .AND. compat2 == 2) THEN\n WRITE (unit_nr_prv, '(A)') \"Normal\"\n ELSEIF (compat1 == 2 .AND. compat2 == 1) THEN\n WRITE (unit_nr_prv, '(A)') \"Transposed\"\n ELSE\n WRITE (unit_nr_prv, '(A)') \"Not compatible\"\n END IF\n END IF\n IF (compat1 == 0 .or. compat2 == 0) THEN ! index mapping not compatible with contract index\n\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A)') \"Redistribution of\", TRIM(tensor_in%name)\n\n ALLOCATE (tensor_out)\n CALL dbcsr_t_remap(tensor_in, ind1, ind2, tensor_out, nodata=nodata, move_data=move_data)\n CALL dbcsr_t_copy_contraction_storage(tensor_in, tensor_out)\n compat1 = 1\n compat2 = 2\n new = .TRUE.\n ELSE\n IF (unit_nr_prv > 0) WRITE (unit_nr_prv, '(T2,A,1X,A)') \"No redistribution of\", TRIM(tensor_in%name)\n tensor_out => tensor_in\n END IF\n\n IF (compat1 == 1 .AND. compat2 == 2) THEN\n trans = dbcsr_no_transpose\n ELSEIF (compat1 == 2 .AND. compat2 == 1) THEN\n trans = dbcsr_transpose\n ELSE\n DBCSR_ABORT(\"this should not happen\")\n END IF\n\n IF (unit_nr_prv > 0) THEN\n IF (compat1_old .NE. compat1 .OR. compat2_old .NE. compat2) THEN\n WRITE (unit_nr_prv, '(T2,A,1X,A,A,1X)', advance='no') \"compatibility of\", TRIM(tensor_out%name), \":\"\n IF (compat1 == 1 .AND. compat2 == 2) THEN\n WRITE (unit_nr_prv, '(A)') \"Normal\"\n ELSEIF (compat1 == 2 .AND. compat2 == 1) THEN\n WRITE (unit_nr_prv, '(A)') \"Transposed\"\n ELSE\n WRITE (unit_nr_prv, '(A)') \"Not compatible\"\n END IF\n END IF\n END IF\n\n END SUBROUTINE\n\n FUNCTION update_contraction_storage(storage, split_opt, split) RESULT(do_change_pgrid)\n !! update contraction storage that keeps track of process grids during a batched contraction\n !! and decide if tensor process grid needs to be optimized\n TYPE(dbcsr_t_contraction_storage), INTENT(INOUT) :: storage\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: split_opt\n !! optimized TAS process grid\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: split\n !! current TAS process grid\n INTEGER, DIMENSION(2) :: pdims_opt, coor, pdims, pdims_sub\n LOGICAL, DIMENSION(2) :: periods\n LOGICAL, DIMENSION(2) :: do_change_pgrid\n REAL(kind=real_8) :: change_criterion, pdims_ratio\n INTEGER :: nsplit_opt, nsplit\n\n DBCSR_ASSERT(ALLOCATED(split_opt%ngroup_opt))\n nsplit_opt = split_opt%ngroup_opt\n nsplit = split%ngroup\n\n CALL mp_environ(split_opt%mp_comm, 2, pdims_opt, coor, periods)\n CALL mp_environ(split%mp_comm, 2, pdims, coor, periods)\n\n storage%ibatch = storage%ibatch + 1\n\n storage%nsplit_avg = (storage%nsplit_avg*REAL(storage%ibatch - 1, real_8) + REAL(nsplit_opt, real_8)) &\n /REAL(storage%ibatch, real_8)\n\n SELECT CASE (split_opt%split_rowcol)\n CASE (rowsplit)\n pdims_ratio = REAL(pdims(1), real_8)/pdims(2)\n CASE (colsplit)\n pdims_ratio = REAL(pdims(2), real_8)/pdims(1)\n END SELECT\n\n do_change_pgrid(:) = .FALSE.\n\n ! check for process grid dimensions\n CALL mp_environ(split%mp_comm_group, 2, pdims_sub, coor, periods)\n change_criterion = MAXVAL(REAL(pdims_sub, real_8))/MINVAL(pdims_sub)\n IF (change_criterion > default_pdims_accept_ratio**2) do_change_pgrid(1) = .TRUE.\n\n ! check for split factor\n change_criterion = MAX(REAL(nsplit, real_8)/storage%nsplit_avg, REAL(storage%nsplit_avg, real_8)/nsplit)\n IF (change_criterion > default_nsplit_accept_ratio) do_change_pgrid(2) = .TRUE.\n\n END FUNCTION\n\n FUNCTION compat_map(nd_index, compat_ind)\n !! Check if 2d index is compatible with tensor index\n TYPE(nd_to_2d_mapping), INTENT(IN) :: nd_index\n INTEGER, DIMENSION(:), INTENT(IN) :: compat_ind\n INTEGER, DIMENSION(ndims_mapping_row(nd_index)) :: map1\n INTEGER, DIMENSION(ndims_mapping_column(nd_index)) :: map2\n INTEGER :: compat_map\n\n CALL dbcsr_t_get_mapping_info(nd_index, map1_2d=map1, map2_2d=map2)\n\n compat_map = 0\n IF (array_eq_i(map1, compat_ind)) THEN\n compat_map = 1\n ELSEIF (array_eq_i(map2, compat_ind)) THEN\n compat_map = 2\n END IF\n\n END FUNCTION\n\n SUBROUTINE invert_transpose_flag(trans_flag)\n CHARACTER(LEN=1), INTENT(INOUT) :: trans_flag\n\n IF (trans_flag == dbcsr_transpose) THEN\n trans_flag = dbcsr_no_transpose\n ELSEIF (trans_flag == dbcsr_no_transpose) THEN\n trans_flag = dbcsr_transpose\n END IF\n END SUBROUTINE\n\n SUBROUTINE index_linked_sort(ind_ref, ind_dep)\n INTEGER, DIMENSION(:), INTENT(INOUT) :: ind_ref, ind_dep\n INTEGER, DIMENSION(SIZE(ind_ref)) :: sort_indices\n\n CALL sort(ind_ref, SIZE(ind_ref), sort_indices)\n ind_dep(:) = ind_dep(sort_indices)\n\n END SUBROUTINE\n\n FUNCTION opt_pgrid(tensor, tas_split_info)\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n TYPE(dbcsr_tas_split_info), INTENT(IN) :: tas_split_info\n INTEGER, DIMENSION(ndims_matrix_row(tensor)) :: map1\n INTEGER, DIMENSION(ndims_matrix_column(tensor)) :: map2\n TYPE(dbcsr_t_pgrid_type) :: opt_pgrid\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: dims\n\n CALL dbcsr_t_get_mapping_info(tensor%pgrid%nd_index_grid, map1_2d=map1, map2_2d=map2)\n CALL blk_dims_tensor(tensor, dims)\n opt_pgrid = dbcsr_t_nd_mp_comm(tas_split_info%mp_comm, map1, map2, tdims=dims)\n\n ALLOCATE (opt_pgrid%tas_split_info, SOURCE=tas_split_info)\n CALL dbcsr_tas_info_hold(opt_pgrid%tas_split_info)\n END FUNCTION\n\n SUBROUTINE dbcsr_t_remap(tensor_in, map1_2d, map2_2d, tensor_out, comm_2d, dist1, dist2, &\n mp_dims_1, mp_dims_2, name, nodata, move_data)\n !! Copy tensor to tensor with modified index mapping\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d, map2_2d\n !! new index mapping\n !! new index mapping\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor_out\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: name\n LOGICAL, INTENT(IN), OPTIONAL :: nodata, move_data\n TYPE(mp_comm_type), INTENT(IN), OPTIONAL :: comm_2d\n TYPE(array_list), INTENT(IN), OPTIONAL :: dist1, dist2\n INTEGER, DIMENSION(SIZE(map1_2d)), OPTIONAL :: mp_dims_1\n INTEGER, DIMENSION(SIZE(map2_2d)), OPTIONAL :: mp_dims_2\n CHARACTER(len=default_string_length) :: name_tmp\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"blk_sizes\")}$, &\n ${varlist(\"nd_dist\")}$\n TYPE(dbcsr_t_distribution_type) :: dist\n INTEGER :: handle, i\n INTEGER, DIMENSION(ndims_tensor(tensor_in)) :: pdims, myploc\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_remap'\n LOGICAL :: nodata_prv\n TYPE(dbcsr_t_pgrid_type) :: comm_nd\n TYPE(mp_comm_type) :: comm_2d_prv\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(name)) THEN\n name_tmp = name\n ELSE\n name_tmp = tensor_in%name\n END IF\n IF (PRESENT(dist1)) THEN\n DBCSR_ASSERT(PRESENT(mp_dims_1))\n END IF\n\n IF (PRESENT(dist2)) THEN\n DBCSR_ASSERT(PRESENT(mp_dims_2))\n END IF\n\n IF (PRESENT(comm_2d)) THEN\n comm_2d_prv = comm_2d\n ELSE\n comm_2d_prv = tensor_in%pgrid%mp_comm_2d\n END IF\n\n comm_nd = dbcsr_t_nd_mp_comm(comm_2d_prv, map1_2d, map2_2d, dims1_nd=mp_dims_1, dims2_nd=mp_dims_2)\n CALL mp_environ_pgrid(comm_nd, pdims, myploc)\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n CALL get_arrays(tensor_in%blk_sizes, ${varlist(\"blk_sizes\", nmax=ndim)}$)\n END IF\n #:endfor\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n #:for idim in range(1, ndim+1)\n IF (PRESENT(dist1)) THEN\n IF (ANY(map1_2d == ${idim}$)) THEN\n i = MINLOC(map1_2d, dim=1, mask=map1_2d == ${idim}$) ! i is location of idim in map1_2d\n CALL get_ith_array(dist1, i, nd_dist_${idim}$)\n END IF\n END IF\n\n IF (PRESENT(dist2)) THEN\n IF (ANY(map2_2d == ${idim}$)) THEN\n i = MINLOC(map2_2d, dim=1, mask=map2_2d == ${idim}$) ! i is location of idim in map2_2d\n CALL get_ith_array(dist2, i, nd_dist_${idim}$)\n END IF\n END IF\n\n IF (.NOT. ALLOCATED(nd_dist_${idim}$)) THEN\n ALLOCATE (nd_dist_${idim}$ (SIZE(blk_sizes_${idim}$)))\n CALL dbcsr_t_default_distvec(SIZE(blk_sizes_${idim}$), pdims(${idim}$), blk_sizes_${idim}$, nd_dist_${idim}$)\n END IF\n #:endfor\n CALL dbcsr_t_distribution_new_expert(dist, comm_nd, map1_2d, map2_2d, &\n ${varlist(\"nd_dist\", nmax=ndim)}$, own_comm=.TRUE.)\n END IF\n #:endfor\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n CALL dbcsr_t_create(tensor_out, name_tmp, dist, &\n map1_2d, map2_2d, dbcsr_tas_get_data_type(tensor_in%matrix_rep), &\n ${varlist(\"blk_sizes\", nmax=ndim)}$)\n END IF\n #:endfor\n\n IF (PRESENT(nodata)) THEN\n nodata_prv = nodata\n ELSE\n nodata_prv = .FALSE.\n END IF\n\n IF (.NOT. nodata_prv) CALL dbcsr_t_copy_expert(tensor_in, tensor_out, move_data=move_data)\n CALL dbcsr_t_distribution_destroy(dist)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_align_index(tensor_in, tensor_out, order)\n !! Align index with data\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor_out\n INTEGER, DIMENSION(ndims_matrix_row(tensor_in)) :: map1_2d\n INTEGER, DIMENSION(ndims_matrix_column(tensor_in)) :: map2_2d\n INTEGER, DIMENSION(ndims_tensor(tensor_in)), &\n INTENT(OUT), OPTIONAL :: order\n !! permutation resulting from alignment\n INTEGER, DIMENSION(ndims_tensor(tensor_in)) :: order_prv\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_align_index'\n INTEGER :: handle\n\n CALL timeset(routineN, handle)\n\n CALL dbcsr_t_get_mapping_info(tensor_in%nd_index_blk, map1_2d=map1_2d, map2_2d=map2_2d)\n order_prv = dbcsr_t_inverse_order([map1_2d, map2_2d])\n CALL dbcsr_t_permute_index(tensor_in, tensor_out, order=order_prv)\n\n IF (PRESENT(order)) order = order_prv\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_permute_index(tensor_in, tensor_out, order)\n !! Create new tensor by reordering index, data is copied exactly (shallow copy)\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor_out\n INTEGER, DIMENSION(ndims_tensor(tensor_in)), &\n INTENT(IN) :: order\n\n TYPE(nd_to_2d_mapping) :: nd_index_blk_rs, nd_index_rs\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_permute_index'\n INTEGER :: handle\n INTEGER :: ndims\n\n CALL timeset(routineN, handle)\n\n ndims = ndims_tensor(tensor_in)\n\n CALL permute_index(tensor_in%nd_index, nd_index_rs, order)\n CALL permute_index(tensor_in%nd_index_blk, nd_index_blk_rs, order)\n CALL permute_index(tensor_in%pgrid%nd_index_grid, tensor_out%pgrid%nd_index_grid, order)\n\n tensor_out%matrix_rep => tensor_in%matrix_rep\n tensor_out%owns_matrix = .FALSE.\n\n tensor_out%nd_index = nd_index_rs\n tensor_out%nd_index_blk = nd_index_blk_rs\n tensor_out%pgrid%mp_comm_2d = tensor_in%pgrid%mp_comm_2d\n IF (ALLOCATED(tensor_in%pgrid%tas_split_info)) THEN\n ALLOCATE (tensor_out%pgrid%tas_split_info, SOURCE=tensor_in%pgrid%tas_split_info)\n END IF\n tensor_out%refcount => tensor_in%refcount\n CALL dbcsr_t_hold(tensor_out)\n\n CALL reorder_arrays(tensor_in%blk_sizes, tensor_out%blk_sizes, order)\n CALL reorder_arrays(tensor_in%blk_offsets, tensor_out%blk_offsets, order)\n CALL reorder_arrays(tensor_in%nd_dist, tensor_out%nd_dist, order)\n CALL reorder_arrays(tensor_in%blks_local, tensor_out%blks_local, order)\n ALLOCATE (tensor_out%nblks_local(ndims))\n ALLOCATE (tensor_out%nfull_local(ndims))\n tensor_out%nblks_local(order) = tensor_in%nblks_local(:)\n tensor_out%nfull_local(order) = tensor_in%nfull_local(:)\n tensor_out%name = tensor_in%name\n tensor_out%valid = .TRUE.\n\n IF (ALLOCATED(tensor_in%contraction_storage)) THEN\n ALLOCATE (tensor_out%contraction_storage, SOURCE=tensor_in%contraction_storage)\n CALL destroy_array_list(tensor_out%contraction_storage%batch_ranges)\n CALL reorder_arrays(tensor_in%contraction_storage%batch_ranges, tensor_out%contraction_storage%batch_ranges, order)\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_contract_index(alpha, tensor_1, tensor_2, beta, tensor_3, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n map_1, map_2, &\n bounds_1, bounds_2, bounds_3, &\n filter_eps, &\n nblks_local, result_index)\n !! get indices of non-zero tensor blocks for contraction result without actually\n !! performing contraction.\n !! this is an estimate based on block norm multiplication.\n !! See documentation of dbcsr_t_contract.\n TYPE(dbcsr_scalar_type), INTENT(IN) :: alpha\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_1\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_2\n TYPE(dbcsr_scalar_type), INTENT(IN) :: beta\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_1\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_2\n INTEGER, DIMENSION(:), INTENT(IN) :: map_1\n INTEGER, DIMENSION(:), INTENT(IN) :: map_2\n INTEGER, DIMENSION(:), INTENT(IN) :: notcontract_1\n INTEGER, DIMENSION(:), INTENT(IN) :: notcontract_2\n TYPE(dbcsr_t_type), INTENT(INOUT), TARGET :: tensor_3\n INTEGER, DIMENSION(2, SIZE(contract_1)), &\n INTENT(IN), OPTIONAL :: bounds_1\n INTEGER, DIMENSION(2, SIZE(notcontract_1)), &\n INTENT(IN), OPTIONAL :: bounds_2\n INTEGER, DIMENSION(2, SIZE(notcontract_2)), &\n INTENT(IN), OPTIONAL :: bounds_3\n REAL(KIND=real_8), INTENT(IN), OPTIONAL :: filter_eps\n INTEGER, INTENT(OUT) :: nblks_local\n !! number of local blocks on this MPI rank\n INTEGER, DIMENSION(dbcsr_t_max_nblks_local(tensor_3), ndims_tensor(tensor_3)), &\n INTENT(OUT) :: result_index\n !! indices of local non-zero tensor blocks for tensor_3\n !! only the elements result_index(:nblks_local, :) are relevant (all others are set to 0)\n\n CALL dbcsr_t_contract_expert(alpha, tensor_1, tensor_2, beta, tensor_3, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n map_1, map_2, &\n bounds_1=bounds_1, &\n bounds_2=bounds_2, &\n bounds_3=bounds_3, &\n filter_eps=filter_eps, &\n nblks_local=nblks_local, &\n result_index=result_index)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_map_bounds_to_tensors(tensor_1, tensor_2, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n bounds_t1, bounds_t2, &\n bounds_1, bounds_2, bounds_3, &\n do_crop_1, do_crop_2)\n !! Map contraction bounds to bounds referring to tensor indices\n !! see dbcsr_t_contract for docu of dummy arguments\n\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor_1, tensor_2\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_1, contract_2, &\n notcontract_1, notcontract_2\n INTEGER, DIMENSION(2, ndims_tensor(tensor_1)), &\n INTENT(OUT) :: bounds_t1\n !! bounds mapped to tensor_1\n INTEGER, DIMENSION(2, ndims_tensor(tensor_2)), &\n INTENT(OUT) :: bounds_t2\n !! bounds mapped to tensor_2\n INTEGER, DIMENSION(2, SIZE(contract_1)), &\n INTENT(IN), OPTIONAL :: bounds_1\n INTEGER, DIMENSION(2, SIZE(notcontract_1)), &\n INTENT(IN), OPTIONAL :: bounds_2\n INTEGER, DIMENSION(2, SIZE(notcontract_2)), &\n INTENT(IN), OPTIONAL :: bounds_3\n LOGICAL, INTENT(OUT), OPTIONAL :: do_crop_1, do_crop_2\n !! whether tensor 1 should be cropped\n !! whether tensor 2 should be cropped\n LOGICAL, DIMENSION(2) :: do_crop\n\n do_crop = .FALSE.\n\n bounds_t1(1, :) = 1\n CALL dbcsr_t_get_info(tensor_1, nfull_total=bounds_t1(2, :))\n\n bounds_t2(1, :) = 1\n CALL dbcsr_t_get_info(tensor_2, nfull_total=bounds_t2(2, :))\n\n IF (PRESENT(bounds_1)) THEN\n bounds_t1(:, contract_1) = bounds_1\n do_crop(1) = .TRUE.\n bounds_t2(:, contract_2) = bounds_1\n do_crop(2) = .TRUE.\n END IF\n\n IF (PRESENT(bounds_2)) THEN\n bounds_t1(:, notcontract_1) = bounds_2\n do_crop(1) = .TRUE.\n END IF\n\n IF (PRESENT(bounds_3)) THEN\n bounds_t2(:, notcontract_2) = bounds_3\n do_crop(2) = .TRUE.\n END IF\n\n IF (PRESENT(do_crop_1)) do_crop_1 = do_crop(1)\n IF (PRESENT(do_crop_2)) do_crop_2 = do_crop(2)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_print_contraction_index(tensor_1, indchar1, tensor_2, indchar2, tensor_3, indchar3, unit_nr)\n !! print tensor contraction indices in a human readable way\n\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor_1, tensor_2, tensor_3\n CHARACTER(LEN=1), DIMENSION(ndims_tensor(tensor_1)), INTENT(IN) :: indchar1\n !! characters printed for index of tensor 1\n CHARACTER(LEN=1), DIMENSION(ndims_tensor(tensor_2)), INTENT(IN) :: indchar2\n !! characters printed for index of tensor 2\n CHARACTER(LEN=1), DIMENSION(ndims_tensor(tensor_3)), INTENT(IN) :: indchar3\n !! characters printed for index of tensor 3\n INTEGER, INTENT(IN) :: unit_nr\n !! output unit\n INTEGER, DIMENSION(ndims_matrix_row(tensor_1)) :: map11\n INTEGER, DIMENSION(ndims_matrix_column(tensor_1)) :: map12\n INTEGER, DIMENSION(ndims_matrix_row(tensor_2)) :: map21\n INTEGER, DIMENSION(ndims_matrix_column(tensor_2)) :: map22\n INTEGER, DIMENSION(ndims_matrix_row(tensor_3)) :: map31\n INTEGER, DIMENSION(ndims_matrix_column(tensor_3)) :: map32\n INTEGER :: ichar1, ichar2, ichar3, unit_nr_prv\n\n unit_nr_prv = prep_output_unit(unit_nr)\n\n IF (unit_nr_prv /= 0) THEN\n CALL dbcsr_t_get_mapping_info(tensor_1%nd_index_blk, map1_2d=map11, map2_2d=map12)\n CALL dbcsr_t_get_mapping_info(tensor_2%nd_index_blk, map1_2d=map21, map2_2d=map22)\n CALL dbcsr_t_get_mapping_info(tensor_3%nd_index_blk, map1_2d=map31, map2_2d=map32)\n END IF\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, '(T2,A)') \"INDEX INFO\"\n WRITE (unit_nr_prv, '(T15,A)', advance='no') \"tensor index: (\"\n DO ichar1 = 1, SIZE(indchar1)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar1(ichar1)\n END DO\n WRITE (unit_nr_prv, '(A)', advance='no') \") x (\"\n DO ichar2 = 1, SIZE(indchar2)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar2(ichar2)\n END DO\n WRITE (unit_nr_prv, '(A)', advance='no') \") = (\"\n DO ichar3 = 1, SIZE(indchar3)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar3(ichar3)\n END DO\n WRITE (unit_nr_prv, '(A)') \")\"\n\n WRITE (unit_nr_prv, '(T15,A)', advance='no') \"matrix index: (\"\n DO ichar1 = 1, SIZE(map11)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar1(map11(ichar1))\n END DO\n WRITE (unit_nr_prv, '(A1)', advance='no') \"|\"\n DO ichar1 = 1, SIZE(map12)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar1(map12(ichar1))\n END DO\n WRITE (unit_nr_prv, '(A)', advance='no') \") x (\"\n DO ichar2 = 1, SIZE(map21)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar2(map21(ichar2))\n END DO\n WRITE (unit_nr_prv, '(A1)', advance='no') \"|\"\n DO ichar2 = 1, SIZE(map22)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar2(map22(ichar2))\n END DO\n WRITE (unit_nr_prv, '(A)', advance='no') \") = (\"\n DO ichar3 = 1, SIZE(map31)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar3(map31(ichar3))\n END DO\n WRITE (unit_nr_prv, '(A1)', advance='no') \"|\"\n DO ichar3 = 1, SIZE(map32)\n WRITE (unit_nr_prv, '(A1)', advance='no') indchar3(map32(ichar3))\n END DO\n WRITE (unit_nr_prv, '(A)') \")\"\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_batched_contract_init(tensor, ${varlist(\"batch_range\")}$)\n !! Initialize batched contraction for this tensor.\n !!\n !! Explanation: A batched contraction is a contraction performed in several consecutive steps by\n !! specification of bounds in dbcsr_t_contract. This can be used to reduce memory by a large factor.\n !! The routines dbcsr_t_batched_contract_init and dbcsr_t_batched_contract_finalize should be\n !! called to define the scope of a batched contraction as this enables important optimizations\n !! (adapting communication scheme to batches and adapting process grid to multiplication algorithm).\n !! The routines dbcsr_t_batched_contract_init and dbcsr_t_batched_contract_finalize must be called\n !! before the first and after the last contraction step on all 3 tensors.\n !!\n !! Requirements:\n !! - the tensors are in a compatible matrix layout (see documentation of `dbcsr_t_contract`, note 2 & 3).\n !! If they are not, process grid optimizations are disabled and a warning is issued.\n !! - within the scope of a batched contraction, it is not allowed to access or change tensor data\n !! except by calling the routines dbcsr_t_contract & dbcsr_t_copy.\n !! - the bounds affecting indices of the smallest tensor must not change in the course of a batched\n !! contraction (todo: get rid of this requirement).\n !!\n !! Side effects:\n !! - the parallel layout (process grid and distribution) of all tensors may change. In order to\n !! disable the process grid optimization including this side effect, call this routine only on the\n !! smallest of the 3 tensors.\n !!\n !! @note\n !! Note 1: for an example of batched contraction see `examples/dbcsr_tensor_example.F`.\n !! (todo: the example is outdated and should be updated).\n !!\n !! Note 2: it is meaningful to use this feature if the contraction consists of one batch only\n !! but if multiple contractions involving the same 3 tensors are performed\n !! (batched_contract_init and batched_contract_finalize must then be called before/after each\n !! contraction call). The process grid is then optimized after the first contraction\n !! and future contraction may profit from this optimization.\n !! @endnote\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(:), OPTIONAL, INTENT(IN) :: ${varlist(\"batch_range\")}$\n !! For internal load balancing optimizations, optionally specify the index ranges of\n !! batched contraction.\n !! batch_range_i refers to the ith tensor dimension and contains all block indices starting\n !! a new range. The size should be the number of ranges plus one, the last element being the\n !! block index plus one of the last block in the last range.\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: tdims\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"batch_range_prv\")}$\n LOGICAL :: static_range\n\n CALL dbcsr_t_get_info(tensor, nblks_total=tdims)\n\n static_range = .TRUE.\n #:for idim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) >= ${idim}$) THEN\n IF (PRESENT(batch_range_${idim}$)) THEN\n CALL allocate_any(batch_range_prv_${idim}$, source=batch_range_${idim}$)\n static_range = .FALSE.\n ELSE\n ALLOCATE (batch_range_prv_${idim}$ (2))\n batch_range_prv_${idim}$ (1) = 1\n batch_range_prv_${idim}$ (2) = tdims(${idim}$) + 1\n END IF\n END IF\n #:endfor\n\n ALLOCATE (tensor%contraction_storage)\n tensor%contraction_storage%static = static_range\n IF (static_range) THEN\n CALL dbcsr_tas_batched_mm_init(tensor%matrix_rep)\n END IF\n tensor%contraction_storage%nsplit_avg = 0.0_real_8\n tensor%contraction_storage%ibatch = 0\n\n #:for ndim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n CALL create_array_list(tensor%contraction_storage%batch_ranges, ${ndim}$, &\n ${varlist(\"batch_range_prv\", nmax=ndim)}$)\n END IF\n #:endfor\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_batched_contract_finalize(tensor, unit_nr)\n !! finalize batched contraction. This performs all communication that has been postponed in the\n !! contraction calls.\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n LOGICAL :: do_write\n INTEGER :: unit_nr_prv, handle\n\n CALL mp_sync(tensor%pgrid%mp_comm_2d)\n CALL timeset(\"dbcsr_t_total\", handle)\n unit_nr_prv = prep_output_unit(unit_nr)\n\n do_write = .FALSE.\n\n IF (tensor%contraction_storage%static) THEN\n IF (tensor%matrix_rep%do_batched > 0) THEN\n IF (tensor%matrix_rep%mm_storage%batched_out) do_write = .TRUE.\n END IF\n CALL dbcsr_tas_batched_mm_finalize(tensor%matrix_rep)\n END IF\n\n IF (do_write .AND. unit_nr_prv /= 0) THEN\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"FINALIZING BATCHED PROCESSING OF MATMUL\"\n END IF\n CALL dbcsr_t_write_tensor_info(tensor, unit_nr_prv)\n CALL dbcsr_t_write_tensor_dist(tensor, unit_nr_prv)\n END IF\n\n CALL destroy_array_list(tensor%contraction_storage%batch_ranges)\n DEALLOCATE (tensor%contraction_storage)\n CALL mp_sync(tensor%pgrid%mp_comm_2d)\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_change_pgrid(tensor, pgrid, ${varlist(\"batch_range\")}$, &\n nodata, pgrid_changed, unit_nr)\n !! change the process grid of a tensor\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n TYPE(dbcsr_t_pgrid_type), INTENT(IN) :: pgrid\n INTEGER, DIMENSION(:), OPTIONAL, INTENT(IN) :: ${varlist(\"batch_range\")}$\n !! For internal load balancing optimizations, optionally specify the index ranges of\n !! batched contraction.\n !! batch_range_i refers to the ith tensor dimension and contains all block indices starting\n !! a new range. The size should be the number of ranges plus one, the last element being the\n !! block index plus one of the last block in the last range.\n LOGICAL, INTENT(IN), OPTIONAL :: nodata\n !! optionally don't copy the tensor data (then tensor is empty on returned)\n LOGICAL, INTENT(OUT), OPTIONAL :: pgrid_changed\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_change_pgrid'\n CHARACTER(default_string_length) :: name\n INTEGER :: handle\n INTEGER, ALLOCATABLE, DIMENSION(:) :: ${varlist(\"bs\")}$, &\n ${varlist(\"dist\")}$\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: pcoord, pcoord_ref, pdims, pdims_ref, &\n tdims\n TYPE(dbcsr_t_type) :: t_tmp\n TYPE(dbcsr_t_distribution_type) :: dist\n INTEGER, DIMENSION(ndims_matrix_row(tensor)) :: map1\n INTEGER, &\n DIMENSION(ndims_matrix_column(tensor)) :: map2\n LOGICAL, DIMENSION(ndims_tensor(tensor)) :: mem_aware\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: nbatch\n INTEGER :: ind1, ind2, batch_size, ibatch\n\n IF (PRESENT(pgrid_changed)) pgrid_changed = .FALSE.\n CALL mp_environ_pgrid(pgrid, pdims, pcoord)\n CALL mp_environ_pgrid(tensor%pgrid, pdims_ref, pcoord_ref)\n\n IF (ALL(pdims == pdims_ref)) THEN\n IF (ALLOCATED(pgrid%tas_split_info) .AND. ALLOCATED(tensor%pgrid%tas_split_info)) THEN\n IF (pgrid%tas_split_info%ngroup == tensor%pgrid%tas_split_info%ngroup) THEN\n RETURN\n END IF\n END IF\n END IF\n\n CALL timeset(routineN, handle)\n\n #:for idim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) >= ${idim}$) THEN\n mem_aware(${idim}$) = PRESENT(batch_range_${idim}$)\n IF (mem_aware(${idim}$)) nbatch(${idim}$) = SIZE(batch_range_${idim}$) - 1\n END IF\n #:endfor\n\n CALL dbcsr_t_get_info(tensor, nblks_total=tdims, name=name)\n\n #:for idim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) >= ${idim}$) THEN\n ALLOCATE (bs_${idim}$ (dbcsr_t_nblks_total(tensor, ${idim}$)))\n CALL get_ith_array(tensor%blk_sizes, ${idim}$, bs_${idim}$)\n ALLOCATE (dist_${idim}$ (tdims(${idim}$)))\n dist_${idim}$ = 0\n IF (mem_aware(${idim}$)) THEN\n DO ibatch = 1, nbatch(${idim}$)\n ind1 = batch_range_${idim}$ (ibatch)\n ind2 = batch_range_${idim}$ (ibatch + 1) - 1\n batch_size = ind2 - ind1 + 1\n CALL dbcsr_t_default_distvec(batch_size, pdims(${idim}$), &\n bs_${idim}$ (ind1:ind2), dist_${idim}$ (ind1:ind2))\n END DO\n ELSE\n CALL dbcsr_t_default_distvec(tdims(${idim}$), pdims(${idim}$), bs_${idim}$, dist_${idim}$)\n END IF\n END IF\n #:endfor\n\n CALL dbcsr_t_get_mapping_info(tensor%nd_index_blk, map1_2d=map1, map2_2d=map2)\n #:for ndim in ndims\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n CALL dbcsr_t_distribution_new(dist, pgrid, ${varlist(\"dist\", nmax=ndim)}$)\n CALL dbcsr_t_create(t_tmp, name, dist, map1, map2, dbcsr_type_real_8, ${varlist(\"bs\", nmax=ndim)}$)\n END IF\n #:endfor\n CALL dbcsr_t_distribution_destroy(dist)\n\n IF (PRESENT(nodata)) THEN\n IF (.NOT. nodata) CALL dbcsr_t_copy_expert(tensor, t_tmp, move_data=.TRUE.)\n ELSE\n CALL dbcsr_t_copy_expert(tensor, t_tmp, move_data=.TRUE.)\n END IF\n\n CALL dbcsr_t_copy_contraction_storage(tensor, t_tmp)\n\n CALL dbcsr_t_destroy(tensor)\n tensor = t_tmp\n\n IF (PRESENT(unit_nr)) THEN\n IF (unit_nr > 0) THEN\n WRITE (unit_nr, \"(T2,A,1X,A)\") \"OPTIMIZED PGRID INFO FOR\", TRIM(tensor%name)\n WRITE (unit_nr, \"(T4,A,1X,3I6)\") \"process grid dimensions:\", pdims\n CALL dbcsr_t_write_split_info(pgrid, unit_nr)\n END IF\n END IF\n\n IF (PRESENT(pgrid_changed)) pgrid_changed = .TRUE.\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_change_pgrid_2d(tensor, mp_comm, pdims, nodata, nsplit, dimsplit, pgrid_changed, unit_nr)\n !! map tensor to a new 2d process grid for the matrix representation.\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: pdims\n LOGICAL, INTENT(IN), OPTIONAL :: nodata\n INTEGER, INTENT(IN), OPTIONAL :: nsplit, dimsplit\n LOGICAL, INTENT(OUT), OPTIONAL :: pgrid_changed\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n INTEGER, DIMENSION(ndims_matrix_row(tensor)) :: map1\n INTEGER, DIMENSION(ndims_matrix_column(tensor)) :: map2\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: dims, nbatches\n TYPE(dbcsr_t_pgrid_type) :: pgrid\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"batch_range\")}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: array\n INTEGER :: idim\n\n CALL dbcsr_t_get_mapping_info(tensor%pgrid%nd_index_grid, map1_2d=map1, map2_2d=map2)\n CALL blk_dims_tensor(tensor, dims)\n\n IF (ALLOCATED(tensor%contraction_storage)) THEN\n ASSOCIATE (batch_ranges => tensor%contraction_storage%batch_ranges)\n nbatches = sizes_of_arrays(tensor%contraction_storage%batch_ranges) - 1\n ! for good load balancing the process grid dimensions should be chosen adapted to the\n ! tensor dimenions. For batched contraction the tensor dimensions should be divided by\n ! the number of batches (number of index ranges).\n DO idim = 1, ndims_tensor(tensor)\n CALL get_ith_array(tensor%contraction_storage%batch_ranges, idim, array)\n dims(idim) = array(nbatches(idim) + 1) - array(1)\n DEALLOCATE (array)\n dims(idim) = dims(idim)/nbatches(idim)\n IF (dims(idim) <= 0) dims(idim) = 1\n END DO\n END ASSOCIATE\n END IF\n\n pgrid = dbcsr_t_nd_mp_comm(mp_comm, map1, map2, pdims_2d=pdims, tdims=dims, nsplit=nsplit, dimsplit=dimsplit)\n IF (ALLOCATED(tensor%contraction_storage)) THEN\n #:for ndim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n CALL get_arrays(tensor%contraction_storage%batch_ranges, ${varlist(\"batch_range\", nmax=ndim)}$)\n CALL dbcsr_t_change_pgrid(tensor, pgrid, ${varlist(\"batch_range\", nmax=ndim)}$, &\n nodata=nodata, pgrid_changed=pgrid_changed, unit_nr=unit_nr)\n END IF\n #:endfor\n ELSE\n CALL dbcsr_t_change_pgrid(tensor, pgrid, nodata=nodata, pgrid_changed=pgrid_changed, unit_nr=unit_nr)\n END IF\n CALL dbcsr_t_pgrid_destroy(pgrid)\n\n END SUBROUTINE\n\nEND MODULE\n" }, { "path": "src/tensors/dbcsr_tensor.fypp", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n\n#:mute\n\n#! maximum number of dimensions of fortran arrays\n#:set fortran_max_ndim = 7\n\n#! maximum tensor rank\n#:set maxrank = 4\n\n#! datatypes\n#:set dtype_float_prec = ['real_8', 'real_4', 'real_8', 'real_4']\n#:set dtype_float_type = ['REAL(kind=real_8)', 'REAL(kind=real_4)', 'COMPLEX(kind=real_8)', 'COMPLEX(kind=real_4)']\n#:set dtype_float_suffix = ['r_dp', 'r_sp', 'c_dp', 'c_sp']\n#:set dtype_float_param = ['dbcsr_type_real_8', 'dbcsr_type_real_4', 'dbcsr_type_complex_8', 'dbcsr_type_complex_4']\n\n#:set dtype_int4_type = ['INTEGER']\n#:set dtype_int4_suffix = ['i']\n#:set dtype_int4_param = ['dbcsr_type_int_4']\n\n#:set dtype_int8_type = ['INTEGER(KIND=int_8)']\n#:set dtype_int8_suffix = ['i8']\n#:set dtype_int8_param = ['dbcsr_type_int_8']\n\n#:set dtype_all_type = dtype_float_type + dtype_int4_type\n#:set dtype_all_suffix = dtype_float_suffix + dtype_int4_suffix\n#:set dtype_all_param = dtype_float_param + dtype_int4_param\n\n#:set dtype_int_type = dtype_int4_type + dtype_int8_type\n#:set dtype_int_suffix = dtype_int4_suffix + dtype_int8_suffix\n#:set dtype_int_param = dtype_int4_param + dtype_int8_param\n\n#:set dtype_float_list = list(zip(dtype_float_param, dtype_float_type, dtype_float_suffix))\n#:set dtype_float_list_prec = list(zip(dtype_float_prec, dtype_float_param, dtype_float_type, dtype_float_suffix))\n#:set dtype_int_list = list(zip(dtype_int_param, dtype_int_type, dtype_int_suffix))\n#:set dtype_all_list = list(zip(dtype_all_param, dtype_all_type, dtype_all_suffix))\n\n#:def arrlist(name, nmin=1, nmax=maxrank, ndim_pre=0, ndim_post=0)\n#! expand array into list of elements \"name(1), name(2), ..., name(n)\n$: \", \".join([name + \"(\" + \":,\" * ndim_pre + str(i) + \",:\"*ndim_post + \")\" for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def varlist(name, nmin=1, nmax=maxrank, suffix=\"\")\n#! create variable list \"name_1, name_2, ..., name_n\n$: \", \".join([name + \"_\" + str(i) + suffix for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def shape_colon(n=maxrank)\n#! repeated colon ':' for e.g. assumed shape array notation\n$: ','.join([':']*n)\n#:enddef\n\n#:def shape_explicit(name, n=maxrank)\n#! explicit shape for pointer bounds remapping\n$: \", \".join(['LBOUND('+name+', '+ str(i) + '):UBOUND('+name+', '+str(i)+')' for i in range(1,n+1)])\n#:enddef\n\n#:def uselist(list_in)\n#! comma-separated list of unique entries of list_in\n$: \", \".join(list(set(list_in)))\n#:enddef\n\n#! added\n\n#! c datatypes\n\n#: set base_dtype_float_type = ['REAL', 'REAL', 'COMPLEX', 'COMPLEX']\n#: set cf_dtype_float_type = ['c_double', 'c_float', 'c_double_complex', 'c_float_complex']\n\n#: set c_dtype_float_type = ['double', 'float', 'double _Complex', 'float _Complex']\n\n#:set cf_dtype_float_list = list(zip(dtype_float_param, dtype_float_type, dtype_float_suffix, base_dtype_float_type, cf_dtype_float_type))\n#:set cf_dtype_float_list_prec = list(zip(dtype_float_prec, dtype_float_param, dtype_float_type, dtype_float_suffix, base_dtype_float_type, cf_dtype_float_type))\n#:set c_dtype_float_list = list(zip(dtype_float_suffix, c_dtype_float_type))\n\n#:def varlist_equal(name, nmin=1, nmax=maxrank, suffix=\"\", namesuffix=\"\")\n#! create variable list \"name_1=name_1, name_2=name_2, ..., name_n=name_n\n$: \", \".join([name + \"_\" + str(i) + suffix + \" = \" + namesuffix + name + \"_\" + str(i) + suffix for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def pointer_list(name, nmin=1, nmax=maxrank, suffix=\"\")\n#! create pointer list \"name_1(:), name_2(:), ..., name_n(:)\"\n$: \", \".join([name + \"_\" + str(i) + suffix + \"(\" + \":\" + \")\" for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def c_varlist_and_size(name, nmin=1, nmax=maxrank, suffix=\"\")\n#! create variable list \"name_1, name_2, ..., name_n\n$: \", \".join([name + \"_\" + str(i) + \", \" + name + \"_\" + str(i) + \"_\" + \"size\" + suffix for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def c_size(name, nmin=1, nmax=maxrank, suffix=\"\")\n#! create variable list \"name_1_size, name_2_size, ..., name_n_size\n$: \", \".join([name + \"_\" + str(i) + \"_\" + \"size\" + suffix for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def c_arrlist_and_size(name, nmin=1, nmax=maxrank)\n#! expand array into list of elements \"name_1(name_1_size), name_2(name_2_size), ..., name_n(name_n_size)\n$: \", \".join([name + \"_\" + str(i) + \"(\" + name + \"_\" + str(i) + \"_\" + \"size\" + \")\" for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def c_bind_pointer(name, nmin=1, nmax=maxrank, suffix=\"\")\n#! bind c pointers: \"name_1 => c_name_1 \\n name_2 => c_name_2 ...\"\n$: \"\\n \".join([name + \"_\" + str(i) + suffix + \" => \" + \"c_\" + name + \"_\" + str(i) + suffix for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def extern_varlist_and_size(name, type, nmin=1, nmax=maxrank, suffix=\"\")\n#! create variable list \"type* name_1, type name_1_size, type* name_2, type name_2_size ...\n$: \", \".join([type + \"* \" + name + \"_\" + str(i) + \", \" + type + \" \" + name + \"_\" + str(i) + \"_\" + \"size\" + suffix for i in range(nmin, nmax+1)])\n#:enddef\n\n#:def extern_alloc_varlist_and_size(name, nmin=1, nmax=maxrank, suffix=\"\")\n#! create variable list \"int* name_1, int name_1_size, int* name_2, int name_2_size ...\n$: \", \".join([\"int** \" + name + \"_\" + str(i) + \", \" + \"int* \" + name + \"_\" + str(i) + \"_\" + \"size\" + suffix for i in range(nmin, nmax+1)])\n#:enddef\n\n#! Handling optional arguments for non-interoperable types\n\n#:def add_num(num,numout)\n#! binary number counter e.g. [1,0,0,0] -> [0,1,0,0]\n#:set carry = 1\n#:for i in range(0,len(num))\n#:set outi = 0\n#:if carry == 1\n #:if num[i] == 0\n #:set outi = 1\n #:set carry = 0\n #:else\n #:set outi = 0\n #:set carry = 1\n #:endif\n#:else\n #:set outi = num[i]\n#:endif\n#:mute\n$: numout.append(outi)\n#:endmute\n#:endfor\n#:enddef\n\n#:def init(list,n)\n#:mute\n #! fill a list with n zeros\n #:for i in range(n)\n $: list.append(0)\n #:endfor\n#:endmute\n#:enddef\n\n#:def gen_permlist(permlist,n)\n#:mute\n #! generates a list of permutations from n entries\n #! example n = 2 -> [[0,0],[0,1],[1,0],[1,1]] where 0/1 means present/not present\n #:set idx = []\n #:set newidx = []\n ${init(idx,n)}$\n\n #:set imax = pow(2,n)\n #:for i in range(0,imax)\n $: permlist.append(idx)\n ${add_num(idx,newidx)}$\n #:set idx = newidx\n #:set newidx = []\n #:endfor\n#:endmute\n#:enddef\n\n#:def gen_vargroups(varlist,vargroups)\n#:mute\n #! generates permuted groups of variables from a variable list\n #! optional variables that appear together may be grouped\n #! example: varlist = [[var1], [var2,var3]]\n #! this gives: vargroups = [ [[var1],[var2,var3]], [[var1]], [[var2,var3]], []]\n #:set permlist = []\n ${gen_permlist(permlist,len(varlist))}$\n #:for p in permlist\n #:set group = []\n #:for i in range(len(varlist))\n #:if p[i] == 0\n $: group.append(varlist[i])\n #:endif\n #:endfor\n $: vargroups.append(group)\n #:endfor\n#:endmute\n#:enddef\n\n#:def flatten(group,flatgroup)\n#:mute\n#! flattens an array by one level:\n#! [[var1],[var2,var3]] -> [var1,var2,var3]\n#:for sub in group\n #:for x in sub\n $: flatgroup.append(x)\n #:endfor\n#:endfor\n#:endmute\n#:enddef\n\n#:def print_group(group, prefix=\", \")\n#! for a group [[var1],[var2,var3]]\n#! prints \"var1 = var1, var2 = var2, var3 = var3\"\n#:set flatgroup = [item for sublist in group for item in sublist]\n$: prefix * (bool(len(group))) + \", \".join([str(i) + ' = ' + str(i) for i in flatgroup])\n#:enddef\n\n#:def print_groupif(vargroups,varlist,i,check='PRESENT',prefix='')\n#! for a group [[var1]] and a varlist [[var1]],[var2,var3]]\n#! prints \"(ELSE) IF (PRESENT(var1) .AND. .NOT. PRESENT(var2) .AND. .NOT. PRESENT(var3)) THEN\"\n#! to be used in a loop\n#:set group = vargroups[i]\n#:set diff = [item for item in varlist if item not in group]\n#:set stat = \"ELSE IF\"\n#:if i == 0\n#:set stat = \"IF\"\n#:elif i == len(vargroups) - 1\n#:set stat = \"ELSE\"\n#:endif\n#:if stat != \"ELSE\"\n#:set flatgroup = []\n#:set flatdiff = []\n#:mute\n${flatten(group,flatgroup)}$\n${flatten(diff,flatdiff)}$\n#:endmute\n$: stat + \"(\" + \" .AND. \".join([check + \"(\" + prefix + str(i) + \")\" for i in flatgroup]) &\n + \" .AND. \" * (bool(len(diff)) * bool(len(diff) - len(varlist))) &\n + \" .AND. \".join([\".NOT. \" + check + \"(\" + prefix + str(i) + \")\" for i in flatdiff]) + \") THEN \"\n#:else\nELSE\n#:endif\n#:enddef\n\n#:endmute\n" }, { "path": "src/tensors/dbcsr_tensor.h", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#ifndef DBCSR_TENSOR_H\n#define DBCSR_TENSOR_H\n\n#include \n#include /* we need bool from C99 */\n\n#:include \"dbcsr_tensor.fypp\"\n#:set ndims = range(2, maxrank + 1)\n#:set ddims = range(1, maxrank + 1)\n\ntypedef void* dbcsr_matrix;\ntypedef void* dbcsr_t_tensor;\ntypedef void* dbcsr_t_distribution;\ntypedef void* dbcsr_t_pgrid;\ntypedef void* dbcsr_t_iterator;\n\n#if defined(__cplusplus)\nextern \"C\" {\n#endif\n\nvoid c_dbcsr_t_finalize(const dbcsr_t_tensor tensor);\n\nvoid c_dbcsr_t_pgrid_create(\n const MPI_Fint* fcomm, int* c_dims, const int dims_size, dbcsr_t_pgrid* c_pgrid, const int* c_tensor_dims);\n\nvoid c_dbcsr_t_pgrid_create_expert(const MPI_Fint* fcomm, int* c_dims, const int dims_size, dbcsr_t_pgrid* c_pgrid,\n const int* c_map1_2d, const int map1_2d_size, const int* c_map2_2d, const int map2_2d_size, const int* c_tensor_dims,\n const int* nsplit, const int* dimsplit);\n\nvoid c_dbcsr_t_pgrid_destroy(dbcsr_t_pgrid* c_pgrid, const bool* c_keep_comm);\n\nvoid c_dbcsr_t_distribution_new(\n dbcsr_t_distribution* c_dist, const dbcsr_t_pgrid c_pgrid, ${extern_varlist_and_size(\"c_nd_dist\", \"const int\")}$);\n\nvoid c_dbcsr_t_distribution_destroy(dbcsr_t_distribution* c_dist);\n\nvoid c_dbcsr_t_create_new(dbcsr_t_tensor* c_tensor, const char* c_name, const dbcsr_t_distribution c_dist, const int* c_map1_2d,\n const int c_map1_2d_size, const int* c_map2_2d, const int c_map2_2d_size, const int* data_type,\n ${extern_varlist_and_size(\"c_blk_size\", \"const int\")}$);\n\nvoid c_dbcsr_t_create_template(const dbcsr_t_tensor c_tensor_in, dbcsr_t_tensor* c_tensor, const char* c_name, const void* c_dist,\n const int* c_map1_2d, const int map1_2d_size, const int* c_map2_2d, const int map2_2d_size, const int* data_type);\n\nvoid c_dbcsr_t_create_matrix(const dbcsr_matrix c_matrix_in, dbcsr_t_tensor* c_tensor, const int* c_order, const char* c_name);\n\nvoid c_dbcsr_t_destroy(dbcsr_t_tensor* c_tensor);\n\n#:for dsuffix, ctype in c_dtype_float_list\n#:for ndim in ndims\n\nvoid c_dbcsr_t_get_${ndim}$d_block_${dsuffix}$(\n const dbcsr_t_tensor c_tensor, const int tensor_dim, const int* c_ind, const int* c_sizes, ${ctype}$* c_block, bool* c_found);\n\nvoid c_dbcsr_t_put_${ndim}$d_block_${dsuffix}$(const dbcsr_t_tensor c_tensor, const int tensor_dim, const int* c_ind,\n const int* c_sizes, const ${ctype}$* c_block, const bool* c_summation, const ${ctype}$* c_scale);\n\nvoid c_dbcsr_t_get_${ndim}$d_block_p_${dsuffix}$(\n const dbcsr_t_tensor c_tensor, const int* c_ind, ${ctype}$** c_block, bool* c_found);\n\n#:endfor\n\nvoid c_dbcsr_t_get_data_${dsuffix}$(const dbcsr_t_tensor c_tensor, ${ctype}$** c_data, long long int* c_data_size,\n ${ctype}$ c_select_data_type, int* c_lb, int* c_ub);\n\nvoid c_dbcsr_t_contract_${dsuffix}$(const ${ctype}$ c_alpha, dbcsr_t_tensor c_tensor_1, dbcsr_t_tensor c_tensor_2,\n const ${ctype}$ c_beta, dbcsr_t_tensor c_tensor_3, const int* c_contract_1, const int c_contract_1_size,\n const int* c_notcontract_1, const int c_notcontract_1_size, const int* c_contract_2, const int c_contract_2_size,\n const int* c_notcontract_2, const int c_notcontract_2_size, const int* c_map_1, const int c_map_1_size, const int* c_map_2,\n const int c_map_2_size, const int* c_bounds_1, const int* c_bounds_2, const int* c_bounds_3, const bool* c_optimize_dist,\n dbcsr_t_pgrid* c_pgrid_opt_1, dbcsr_t_pgrid* c_pgrid_opt_2, dbcsr_t_pgrid* c_pgrid_opt_3, const double* filter_eps,\n long long int* flop, const bool* move_data, const bool* retain_sparsity, const int* unit_nr, const bool* log_verbose);\n\nvoid c_dbcsr_t_contract_index_${dsuffix}$(const ${ctype}$ c_alpha, dbcsr_t_tensor c_tensor_1, dbcsr_t_tensor c_tensor_2,\n const ${ctype}$ c_beta, dbcsr_t_tensor c_tensor_3, const int* c_contract_1, const int contract_1_size,\n const int* c_notcontract_1, const int notcontract_1_size, const int* c_contract_2, const int contract_2_size,\n const int* c_notcontract_2, const int notcontract_2_size, const int* c_map_1, const int map_1_size, const int* c_map_2,\n const int map_2_size, const int* c_bounds_1, const int* c_bounds_2, const int* c_bounds_3, const double* c_filter_eps,\n int* c_nblks_local, int* c_result_index, long long int result_index_size, int tensor3_dim);\n\nvoid c_dbcsr_t_filter_${dsuffix}$(\n const dbcsr_t_tensor c_tensor, const ${ctype}$ c_eps, const int* c_method, const bool* c_use_absolute);\n\nvoid c_dbcsr_t_set_${dsuffix}$(const dbcsr_t_tensor c_tensor, const ${ctype}$ c_alpha);\n\nvoid c_dbcsr_t_scale_${dsuffix}$(const dbcsr_t_tensor c_tensor, const ${ctype}$ c_alpha);\n\n#:endfor\n\nvoid c_dbcsr_t_get_stored_coordinates(const dbcsr_t_tensor c_tensor, const int tensor_dim, const int* c_ind_nd, int* c_processor);\n\nvoid c_dbcsr_t_reserve_blocks_index(const dbcsr_t_tensor c_tensor, const int nblocks, ${varlist(\"const int* c_blk_ind\")}$);\n\nvoid c_dbcsr_t_reserve_blocks_template(const dbcsr_t_tensor c_tensor_in, const dbcsr_t_tensor tensor_out);\n\nint c_ndims_iterator(const dbcsr_t_iterator c_iterator);\n\nvoid c_dbcsr_t_iterator_start(dbcsr_t_iterator* c_iterator, const dbcsr_t_tensor c_tensor);\n\nvoid c_dbcsr_t_iterator_stop(dbcsr_t_iterator* c_iterator);\n\nvoid c_dbcsr_t_iterator_next_block(const dbcsr_t_iterator c_iterator, const int iterator_size, int* c_ind_nd, int* c_blk,\n int* c_blk_p, int* c_blk_size, int* c_blk_offset);\n\nbool c_dbcsr_t_iterator_blocks_left(const dbcsr_t_iterator c_iterator);\n\nvoid c_dbcsr_t_split_blocks(const dbcsr_t_tensor c_tensor_in, const int tensor_dim, dbcsr_t_tensor* c_tensor_out,\n const int* c_block_sizes, const bool* c_nodata);\n\nvoid c_dbcsr_t_copy_matrix_to_tensor(const dbcsr_matrix c_matrix_in, dbcsr_t_tensor c_tensor_out, const bool* c_summation);\n\nvoid c_dbcsr_t_copy_tensor_to_matrix(const dbcsr_t_tensor c_tensor_in, dbcsr_matrix c_matrix_out, const bool* c_summation);\n\nvoid c_dbcsr_t_copy(const dbcsr_t_tensor c_tensor_in, const int tensor_dim, dbcsr_t_tensor c_tensor_out, const int* c_order,\n const bool* c_summation, const int* c_bounds, const bool* c_move_data, const int* c_unit_nr);\n\nvoid c_dbcsr_t_clear(dbcsr_t_tensor c_tensor);\n\nvoid c_dbcsr_t_get_info(const dbcsr_t_tensor c_tensor, const int tensor_dim, int* c_nblks_total, int* c_nfull_total,\n int* c_nblks_local, int* c_nfull_local, int* c_pdims, int* my_ploc, ${varlist(\"int nblks_local\")}$,\n ${varlist(\"int nblks_total\")}$, ${varlist(\"int* c_blks_local\")}$, ${varlist(\"int* c_proc_dist\")}$,\n ${varlist(\"int* c_blk_size\")}$, ${varlist(\"int* c_blk_offset\")}$, dbcsr_t_distribution* c_distribution, char** name,\n int* data_type);\n\nvoid c_dbcsr_t_get_nd_index_blk(const dbcsr_t_tensor c_tensor, void** c_nd_index_blk);\n\nvoid c_dbcsr_t_get_nd_index(const dbcsr_t_tensor c_tensor, void** c_nd_index);\n\nvoid c_dbcsr_t_get_mapping_info(const dbcsr_t_tensor c_tensor, const int nd_size, const int nd_row_size, const int nd_col_size,\n int* ndim_nd, int* ndim1_2d, int* ndim2_2d, long long int* c_dims_2d_i8, int* c_dims_2d, int* c_dims_nd, int* c_dims1_2d,\n int* c_dims2_2d, int* c_map1_2d, int* c_map2_2d, int* c_map_nd, int* base, bool* c_col_major);\n\nint c_dbcsr_t_get_num_blocks(const dbcsr_t_tensor c_tensor);\n\nlong long int c_dbcsr_t_get_num_blocks_total(const dbcsr_t_tensor c_tensor);\n\nvoid c_dbcsr_t_dims(const dbcsr_t_tensor c_tensor, const int tensor_dim, const int* c_dims);\n\nint c_dbcsr_t_ndims(const dbcsr_t_tensor c_tensor);\n\nint c_dbcsr_t_nblks_local(const dbcsr_t_tensor c_tensor, const int idim);\n\nint c_dbcsr_t_nblks_total(const dbcsr_t_tensor c_tensor, const int idim);\n\nint c_dbcsr_t_ndims_matrix_row(const dbcsr_t_tensor c_tensor);\n\nint c_dbcsr_t_ndims_matrix_column(const dbcsr_t_tensor c_tensor);\n\nint c_dbcsr_t_get_nze(const dbcsr_t_tensor c_tensor);\n\nlong long int c_dbcsr_t_get_nze_total(const dbcsr_t_tensor c_tensor);\n\nint c_dbcsr_t_ndims_matrix_column(const dbcsr_t_tensor c_tensor);\n\nint c_dbcsr_t_get_nze(const dbcsr_t_tensor c_tensor);\n\nlong long int c_dbcsr_t_get_nze_total(const dbcsr_t_tensor c_tensor);\n\nlong long int c_dbcsr_t_max_nblks_local(const dbcsr_t_tensor c_tensor);\n\nvoid c_dbcsr_t_batched_contract_init(dbcsr_t_tensor c_tensor);\n\nvoid c_dbcsr_t_batched_contract_finalize(dbcsr_t_tensor c_tensor, int* c_unit_nr);\n\n#if defined(__cplusplus)\n}\n#endif\n\n#if defined(__cplusplus)\n// --------------------------------------------------- //\n// overloaded functions (cpp only) //\n// --------------------------------------------------- //\n#:for dsuffix, ctype in c_dtype_float_list\ninline void c_dbcsr_t_get_block(\n const dbcsr_t_tensor c_tensor, const int* c_ind, const int* c_sizes, ${ctype}$* c_block, bool* c_found) {\n int tensor_dim = c_dbcsr_t_ndims(c_tensor);\n\n switch (tensor_dim) {\n#:for ndim in ndims\n case ${ndim}$: c_dbcsr_t_get_${ndim}$d_block_${dsuffix}$(c_tensor, tensor_dim, c_ind, c_sizes, c_block, c_found); break;\n#:endfor\n }\n}\n\ninline void c_dbcsr_t_get_block_p(const dbcsr_t_tensor c_tensor, const int* c_ind, ${ctype}$** c_block, bool* c_found) {\n int tensor_dim = c_dbcsr_t_ndims(c_tensor);\n\n switch (tensor_dim) {\n#:for ndim in ndims\n case ${ndim}$: c_dbcsr_t_get_${ndim}$d_block_p_${dsuffix}$(c_tensor, c_ind, c_block, c_found); break;\n#:endfor\n }\n}\n\n#:endfor\n\n#:for dsuffix, ctype in c_dtype_float_list\ninline void c_dbcsr_t_put_block(const dbcsr_t_tensor c_tensor, const int* c_ind, const int* c_sizes, const ${ctype}$* c_block,\n const bool* c_summation, const ${ctype}$* c_scale) {\n int tensor_dim = c_dbcsr_t_ndims(c_tensor);\n\n switch (tensor_dim) {\n#:for ndim in ndims\n case ${ndim}$:\n c_dbcsr_t_put_${ndim}$d_block_${dsuffix}$(c_tensor, tensor_dim, c_ind, c_sizes, c_block, c_summation, c_scale);\n break;\n#:endfor\n }\n}\n#:endfor\n\ninline void c_dbcsr_t_get_stored_coordinates(const dbcsr_t_tensor c_tensor, const int* c_ind_nd, int* c_processor) {\n int tensor_dim = c_dbcsr_t_ndims(c_tensor);\n c_dbcsr_t_get_stored_coordinates(c_tensor, tensor_dim, c_ind_nd, c_processor);\n}\n\ninline void c_dbcsr_t_iterator_next_block(\n const dbcsr_t_iterator c_iterator, int* c_ind_nd, int* c_blk, int* c_blk_p, int* c_blk_size, int* c_blk_offset) {\n int iterator_size = c_ndims_iterator(c_iterator);\n\n c_dbcsr_t_iterator_next_block(c_iterator, iterator_size, c_ind_nd, c_blk, c_blk_p, c_blk_size, c_blk_offset);\n}\n\n#:for dsuffix, ctype in c_dtype_float_list\ninline void c_dbcsr_t_filter(\n const dbcsr_t_tensor c_tensor, const ${ctype}$ c_eps, const int* c_method, const bool* c_use_absolute) {\n c_dbcsr_t_filter_${dsuffix}$(c_tensor, c_eps, c_method, c_use_absolute);\n}\n\ninline void c_dbcsr_t_set(const dbcsr_t_tensor c_tensor, const ${ctype}$ c_alpha) {\n c_dbcsr_t_set_${dsuffix}$(c_tensor, c_alpha);\n}\n\ninline void c_dbcsr_t_scale(const dbcsr_t_tensor c_tensor, const ${ctype}$ c_alpha) {\n c_dbcsr_t_scale_${dsuffix}$(c_tensor, c_alpha);\n}\n\ninline void c_dbcsr_t_get_data_p(const dbcsr_t_tensor c_tensor, ${ctype}$** c_data, long long int* c_data_size,\n ${ctype}$ c_select_data_type, int* c_lb, int* c_ub) {\n c_dbcsr_t_get_data_${dsuffix}$(c_tensor, c_data, c_data_size, c_select_data_type, c_lb, c_ub);\n}\n#:endfor\n#endif\n\n#endif /*DBCSR_H*/\n" }, { "path": "src/tensors/dbcsr_tensor_api.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor_api\n !! This is the start of a dbcsr_tensor_api, all publically needed functions\n !! are exported here. The others remain private to the library.\n !! Currently, this is the CP2K used set.\n !! Ultimately, a reduced subset and well defined api will remain,\n !! possibly grouped in to standard and expert api.\n !! Currently, this is work in progress.\n\n USE dbcsr_tensor, ONLY: &\n dbcsr_t_contract, dbcsr_t_get_block, dbcsr_t_get_stored_coordinates, dbcsr_t_put_block, &\n dbcsr_t_reserve_blocks, dbcsr_t_copy_matrix_to_tensor, dbcsr_t_copy, &\n dbcsr_t_copy_tensor_to_matrix, dbcsr_t_batched_contract_init, &\n dbcsr_t_batched_contract_finalize, dbcsr_t_contract_index\n USE dbcsr_tensor_block, ONLY: &\n dbcsr_t_iterator_blocks_left, dbcsr_t_iterator_next_block, dbcsr_t_iterator_start, &\n dbcsr_t_iterator_stop, dbcsr_t_iterator_type, dbcsr_t_reserved_block_indices\n USE dbcsr_tensor_types, ONLY: &\n dbcsr_t_create, dbcsr_t_destroy, dbcsr_t_distribution_destroy, dbcsr_t_distribution_new, &\n dbcsr_t_distribution_type, dbcsr_t_nd_mp_comm_prv => dbcsr_t_nd_mp_comm, dbcsr_t_nd_mp_free, dbcsr_t_type, &\n dbcsr_t_pgrid_type, dbcsr_t_pgrid_create_prv => dbcsr_t_pgrid_create, &\n dbcsr_t_pgrid_create_expert_prv => dbcsr_t_pgrid_create_expert, dbcsr_t_pgrid_destroy, &\n dbcsr_t_set, dbcsr_t_filter, &\n dbcsr_t_mp_environ_pgrid => mp_environ_pgrid, dbcsr_t_blk_sizes, dbcsr_t_get_info, &\n dbcsr_t_finalize, dbcsr_t_scale, dbcsr_t_get_nze, dbcsr_t_get_nze_total, &\n dbcsr_t_get_num_blocks, dbcsr_t_get_num_blocks_total, dbcsr_t_clear, &\n dbcsr_t_mp_dims_create, dbcsr_t_pgrid_change_dims, dbcsr_t_ndims => ndims_tensor, &\n dbcsr_t_dims => dims_tensor, dbcsr_t_ndims_matrix_row => ndims_matrix_row, &\n dbcsr_t_ndims_matrix_column => ndims_matrix_column, dbcsr_t_blk_size, dbcsr_t_nblks_local, &\n dbcsr_t_nblks_total, dbcsr_t_max_nblks_local, dbcsr_t_default_distvec\n USE dbcsr_tensor_test, ONLY: &\n dbcsr_t_contract_test, dbcsr_t_checksum\n USE dbcsr_tensor_split, ONLY: &\n dbcsr_t_split_blocks\n USE dbcsr_tensor_index, ONLY: &\n dbcsr_t_get_mapping_info\n USE dbcsr_tensor_io, ONLY: &\n dbcsr_t_write_tensor_info, dbcsr_t_write_split_info, dbcsr_t_write_blocks, dbcsr_t_write_tensor_dist\n USE dbcsr_mpiwrap, ONLY: mp_comm_type\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor_api'\n\n PUBLIC :: dbcsr_t_contract, dbcsr_t_contract_test\n PUBLIC :: dbcsr_t_get_block\n PUBLIC :: dbcsr_t_get_stored_coordinates\n PUBLIC :: dbcsr_t_put_block\n PUBLIC :: dbcsr_t_reserve_blocks\n PUBLIC :: dbcsr_t_create\n PUBLIC :: dbcsr_t_destroy\n PUBLIC :: dbcsr_t_distribution_destroy\n PUBLIC :: dbcsr_t_distribution_new\n PUBLIC :: dbcsr_t_distribution_type\n PUBLIC :: dbcsr_t_nd_mp_comm\n PUBLIC :: dbcsr_t_nd_mp_free\n PUBLIC :: dbcsr_t_type\n PUBLIC :: dbcsr_t_iterator_next_block\n PUBLIC :: dbcsr_t_iterator_blocks_left\n PUBLIC :: dbcsr_t_iterator_stop\n PUBLIC :: dbcsr_t_iterator_start\n PUBLIC :: dbcsr_t_iterator_type\n PUBLIC :: dbcsr_t_split_blocks\n PUBLIC :: dbcsr_t_pgrid_type\n PUBLIC :: dbcsr_t_pgrid_create\n PUBLIC :: dbcsr_t_pgrid_create_expert\n PUBLIC :: dbcsr_t_pgrid_destroy\n PUBLIC :: dbcsr_t_set\n PUBLIC :: dbcsr_t_filter\n PUBLIC :: dbcsr_t_mp_environ_pgrid\n PUBLIC :: dbcsr_t_copy_matrix_to_tensor\n PUBLIC :: dbcsr_t_blk_sizes\n PUBLIC :: dbcsr_t_copy\n PUBLIC :: dbcsr_t_copy_tensor_to_matrix\n PUBLIC :: dbcsr_t_get_info\n PUBLIC :: dbcsr_t_checksum\n PUBLIC :: dbcsr_t_finalize\n PUBLIC :: dbcsr_t_scale\n PUBLIC :: dbcsr_t_get_num_blocks, dbcsr_t_get_num_blocks_total\n PUBLIC :: dbcsr_t_get_nze, dbcsr_t_get_nze_total\n PUBLIC :: dbcsr_t_clear\n PUBLIC :: dbcsr_t_get_mapping_info\n PUBLIC :: dbcsr_t_write_split_info\n PUBLIC :: dbcsr_t_write_blocks\n PUBLIC :: dbcsr_t_write_tensor_dist\n PUBLIC :: dbcsr_t_write_tensor_info\n PUBLIC :: dbcsr_t_mp_dims_create\n PUBLIC :: dbcsr_t_batched_contract_init\n PUBLIC :: dbcsr_t_batched_contract_finalize\n PUBLIC :: dbcsr_t_ndims\n PUBLIC :: dbcsr_t_dims\n PUBLIC :: dbcsr_t_pgrid_change_dims\n PUBLIC :: dbcsr_t_reserved_block_indices\n PUBLIC :: dbcsr_t_contract_index\n PUBLIC :: dbcsr_t_ndims_matrix_row\n PUBLIC :: dbcsr_t_ndims_matrix_column\n PUBLIC :: dbcsr_t_nblks_local\n PUBLIC :: dbcsr_t_nblks_total\n PUBLIC :: dbcsr_t_blk_size\n PUBLIC :: dbcsr_t_max_nblks_local\n PUBLIC :: dbcsr_t_default_distvec\n\nCONTAINS\n\n FUNCTION dbcsr_t_nd_mp_comm(comm_2d, map1_2d, map2_2d, dims_nd, dims1_nd, dims2_nd, pdims_2d, tdims, &\n nsplit, dimsplit)\n INTEGER, INTENT(IN) :: comm_2d\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d, map2_2d\n INTEGER, DIMENSION(SIZE(map1_2d) + SIZE(map2_2d)), &\n INTENT(IN), OPTIONAL :: dims_nd\n INTEGER, DIMENSION(SIZE(map1_2d)), INTENT(IN), OPTIONAL :: dims1_nd\n INTEGER, DIMENSION(SIZE(map2_2d)), INTENT(IN), OPTIONAL :: dims2_nd\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: pdims_2d\n INTEGER, DIMENSION(SIZE(map1_2d) + SIZE(map2_2d)), &\n INTENT(IN), OPTIONAL :: tdims\n INTEGER, INTENT(IN), OPTIONAL :: nsplit, dimsplit\n TYPE(dbcsr_t_pgrid_type) :: dbcsr_t_nd_mp_comm\n\n TYPE(mp_comm_type) :: my_comm_2d\n\n CALL my_comm_2d%set_handle(comm_2d)\n\n dbcsr_t_nd_mp_comm = dbcsr_t_nd_mp_comm_prv(my_comm_2d, map1_2d, map2_2d, &\n dims_nd, dims1_nd, dims2_nd, pdims_2d, tdims, &\n nsplit, dimsplit)\n\n END FUNCTION dbcsr_t_nd_mp_comm\n\n SUBROUTINE dbcsr_t_pgrid_create_expert(mp_comm, dims, pgrid, map1_2d, map2_2d, tensor_dims, nsplit, dimsplit)\n INTEGER, INTENT(IN) :: mp_comm\n INTEGER, DIMENSION(:), INTENT(INOUT) :: dims\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT) :: pgrid\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d, map2_2d\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: tensor_dims\n INTEGER, INTENT(IN), OPTIONAL :: nsplit, dimsplit\n\n TYPE(mp_comm_type) :: my_mp_comm\n\n CALL my_mp_comm%set_handle(mp_comm)\n\n CALL dbcsr_t_pgrid_create_expert_prv(my_mp_comm, dims, pgrid, map1_2d, map2_2d, tensor_dims, nsplit, dimsplit)\n\n END SUBROUTINE dbcsr_t_pgrid_create_expert\n\n SUBROUTINE dbcsr_t_pgrid_create(mp_comm, dims, pgrid, tensor_dims)\n INTEGER, INTENT(IN) :: mp_comm\n INTEGER, DIMENSION(:), INTENT(INOUT) :: dims\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT) :: pgrid\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: tensor_dims\n\n TYPE(mp_comm_type) :: my_mp_comm\n\n CALL my_mp_comm%set_handle(mp_comm)\n\n CALL dbcsr_t_pgrid_create_prv(my_mp_comm, dims, pgrid, tensor_dims)\n\n END SUBROUTINE dbcsr_t_pgrid_create\n\nEND MODULE dbcsr_tensor_api\n" }, { "path": "src/tensors/dbcsr_tensor_api_c.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include \"dbcsr_tensor.fypp\"\n#:set ndims = range(2,maxrank+1)\n#:set ddims = range(1,maxrank+1)\n\nMODULE dbcsr_tensor_api_c\n\n USE, INTRINSIC :: ISO_C_BINDING, ONLY: c_loc, c_ptr, c_double, c_sizeof, C_NULL_CHAR, &\n c_float, c_f_pointer, c_int, c_long_long, &\n c_char, c_null_ptr, c_bool, c_associated, &\n c_float_complex, c_double_complex\n USE dbcsr_api, ONLY: dbcsr_type, dbcsr_scale\n USE dbcsr_allocate_wrap, ONLY: allocate_any\n USE dbcsr_tensor_api\n USE dbcsr_kinds, ONLY: &\n ${uselist(dtype_float_prec)}$, default_string_length, int_8\n USE dbcsr_data_types, ONLY: dbcsr_scalar_type\n USE dbcsr_data_methods, ONLY: dbcsr_scalar\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_tensor_index, ONLY: &\n dbcsr_t_get_mapping_info, ndims_mapping, nd_to_2d_mapping\n USE dbcsr_tensor_types, ONLY: dbcsr_t_create, dbcsr_t_type\n USE dbcsr_tas_types, ONLY: dbcsr_tas_type\n USE dbcsr_tas_base, ONLY: dbcsr_tas_get_block_p\n USE dbcsr_tensor_index, ONLY: get_2d_indices_tensor\n USE dbcsr_data_methods, ONLY: dbcsr_get_data_p\n\n IMPLICIT NONE\n PRIVATE\n\nCONTAINS\n\n SUBROUTINE c_f_string(c_str, str)\n USE, INTRINSIC :: iso_c_binding, ONLY: c_ptr, c_f_pointer, c_char\n TYPE(c_ptr), INTENT(in) :: c_str\n CHARACTER(kind=c_char), POINTER :: arr(:)\n CHARACTER(:, kind=c_char), ALLOCATABLE, INTENT(out) :: str\n INTEGER(8) :: n, i\n INTERFACE\n ! steal std c library function rather than writing our own.\n FUNCTION strlen(s) bind(c, name='strlen')\n USE, INTRINSIC :: iso_c_binding, ONLY: c_ptr, c_size_t\n IMPLICIT NONE\n !----\n TYPE(c_ptr), INTENT(in), value :: s\n INTEGER(c_size_t) :: strlen\n END FUNCTION strlen\n END INTERFACE\n n = strlen(c_str)\n !****\n CALL c_f_pointer(c_str, arr, [n])\n ALLOCATE (CHARACTER(len=n) :: str)\n DO i = 1, n\n str(i:i) = arr(i)\n END DO\n END SUBROUTINE c_f_string\n\n SUBROUTINE c_dbcsr_t_finalize(c_tensor) BIND(C, name=\"c_dbcsr_t_finalize\")\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_finalize(tensor)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_pgrid_create_expert(fcomm, c_dims, dims_size, c_pgrid, &\n c_map1_2d, map1_2d_size, c_map2_2d, &\n map2_2d_size, c_tensor_dims, nsplit, dimsplit) &\n bind(C, name=\"c_dbcsr_t_pgrid_create_expert\")\n\n INTEGER(kind=c_int), INTENT(in) :: fcomm\n INTEGER(kind=c_int), INTENT(in), value :: dims_size\n TYPE(c_ptr), INTENT(out) :: c_pgrid\n INTEGER(kind=c_int), INTENT(out) :: c_dims(dims_size)\n INTEGER(kind=c_int), INTENT(out), OPTIONAL, &\n DIMENSION(dims_size) :: c_tensor_dims\n INTEGER(kind=c_int), INTENT(in), VALUE :: map1_2d_size\n INTEGER(kind=c_int), INTENT(in) :: c_map1_2d(map1_2d_size)\n INTEGER(kind=c_int), INTENT(in), VALUE :: map2_2d_size\n INTEGER(kind=c_int), INTENT(in) :: c_map2_2d(map2_2d_size)\n INTEGER(kind=c_int), INTENT(in), OPTIONAL :: nsplit, dimsplit\n\n TYPE(dbcsr_t_pgrid_type), POINTER :: pgrid\n\n ALLOCATE (pgrid)\n\n CALL dbcsr_t_pgrid_create_expert(fcomm, c_dims, pgrid, c_map1_2d + 1, c_map2_2d + 1, c_tensor_dims, &\n nsplit, dimsplit)\n\n c_pgrid = c_loc(pgrid)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_pgrid_create(fcomm, c_dims, dims_size, c_pgrid, c_tensor_dims) &\n bind(C, name=\"c_dbcsr_t_pgrid_create\")\n\n INTEGER(kind=c_int), INTENT(in) :: fcomm\n INTEGER(kind=c_int), INTENT(in), value :: dims_size\n TYPE(c_ptr), INTENT(out) :: c_pgrid\n INTEGER(kind=c_int), INTENT(out) :: c_dims(dims_size)\n INTEGER(kind=c_int), INTENT(in), OPTIONAL :: c_tensor_dims(dims_size)\n\n TYPE(dbcsr_t_pgrid_type), POINTER :: pgrid\n\n ALLOCATE (pgrid)\n\n IF (PRESENT(c_tensor_dims)) THEN\n CALL dbcsr_t_pgrid_create(fcomm, c_dims, pgrid, c_tensor_dims)\n ELSE\n CALL dbcsr_t_pgrid_create(fcomm, c_dims, pgrid)\n END IF\n\n c_pgrid = c_loc(pgrid)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_pgrid_destroy(c_pgrid, c_keep_comm) &\n BIND(C, name=\"c_dbcsr_t_pgrid_destroy\")\n\n TYPE(c_ptr), INTENT(INOUT) :: c_pgrid\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_keep_comm\n TYPE(dbcsr_t_pgrid_type), POINTER :: pgrid\n LOGICAL :: keep_comm\n\n CALL c_f_pointer(c_pgrid, pgrid)\n\n IF (PRESENT(c_keep_comm)) THEN\n keep_comm = c_keep_comm\n CALL dbcsr_t_pgrid_destroy(pgrid, keep_comm)\n ELSE\n CALL dbcsr_t_pgrid_destroy(pgrid)\n END IF\n\n IF (ASSOCIATED(pgrid)) DEALLOCATE (pgrid)\n c_pgrid = c_null_ptr\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_distribution_new(c_dist, c_pgrid, ${c_varlist_and_size(\"c_nd_dist\")}$) &\n bind(C, name=\"c_dbcsr_t_distribution_new\")\n\n TYPE(c_ptr), INTENT(OUT) :: c_dist\n TYPE(c_ptr), INTENT(IN), value :: c_pgrid\n\n INTEGER(kind=c_int), INTENT(in), value :: ${varlist(\"c_nd_dist\", suffix=\"_size\")}$\n INTEGER(kind=c_int), INTENT(IN), TARGET, OPTIONAL :: ${c_arrlist_and_size(\"c_nd_dist\")}$\n\n TYPE(dbcsr_t_pgrid_type), POINTER :: pgrid\n TYPE(dbcsr_t_distribution_type), POINTER :: dist\n\n INTEGER, DIMENSION(:), POINTER :: ${varlist(\"nd_dist\")}$\n\n ALLOCATE (dist)\n\n CALL c_f_pointer(c_pgrid, pgrid)\n\n #:for i in range(1, maxrank+1)\n NULLIFY (nd_dist_${i}$)\n IF (PRESENT(c_nd_dist_${i}$)) THEN\n nd_dist_${i}$ => c_nd_dist_${i}$\n END IF\n #:endfor\n\n CALL dbcsr_t_distribution_new(dist, pgrid, ${varlist(\"nd_dist\")}$)\n\n c_dist = c_loc(dist)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_distribution_destroy(c_dist) BIND(C, name=\"c_dbcsr_t_distribution_destroy\")\n TYPE(c_ptr), INTENT(INOUT) :: c_dist\n\n TYPE(dbcsr_t_distribution_type), POINTER :: dist\n\n CALL c_f_pointer(c_dist, dist)\n CALL dbcsr_t_distribution_destroy(dist)\n\n IF (ASSOCIATED(dist)) DEALLOCATE (dist)\n c_dist = c_null_ptr\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_create_new(c_tensor, c_name, c_dist, c_map1_2d, map1_2d_size, &\n c_map2_2d, map2_2d_size, c_data_type, ${c_varlist_and_size(\"c_blk_size\")}$) &\n bind(C, name=\"c_dbcsr_t_create_new\")\n\n TYPE(c_ptr), INTENT(OUT) :: c_tensor\n TYPE(c_ptr), INTENT(IN), value :: c_dist, c_name\n\n INTEGER(kind=c_int), INTENT(in), value :: map1_2d_size\n INTEGER(kind=c_int), INTENT(in), TARGET :: c_map1_2d(map1_2d_size)\n INTEGER(kind=c_int), INTENT(in), value :: map2_2d_size\n INTEGER(kind=c_int), INTENT(in), TARGET :: c_map2_2d(map2_2d_size)\n\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_data_type\n\n INTEGER(kind=c_int), INTENT(in), value :: ${varlist(\"c_blk_size\", suffix=\"_size\")}$\n INTEGER(kind=c_int), INTENT(IN), TARGET, OPTIONAL :: ${c_arrlist_and_size(\"c_blk_size\")}$\n\n CHARACTER(:, kind=c_char), ALLOCATABLE :: fname\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n TYPE(dbcsr_t_distribution_type), POINTER :: dist\n\n INTEGER, DIMENSION(:), POINTER :: ${varlist(\"blk_size\")}$\n\n ALLOCATE (tensor)\n\n CALL c_f_pointer(c_dist, dist)\n CALL c_f_string(c_name, fname)\n\n #:for i in range(1, maxrank+1)\n NULLIFY (blk_size_${i}$)\n IF (PRESENT(c_blk_size_${i}$)) THEN\n blk_size_${i}$ => c_blk_size_${i}$\n END IF\n #:endfor\n\n CALL dbcsr_t_create(tensor, fname, dist, c_map1_2d + 1, c_map2_2d + 1, c_data_type, &\n ${varlist(\"blk_size\")}$)\n\n c_tensor = c_loc(tensor)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_create_template(c_tensor_in, c_tensor, c_name, c_dist, &\n c_map1_2d, map1_2d_size, c_map2_2d, map2_2d_size, data_type) &\n BIND(C, name=\"c_dbcsr_t_create_template\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_in\n TYPE(c_ptr), INTENT(OUT) :: c_tensor\n TYPE(c_ptr), INTENT(IN), VALUE :: c_name\n TYPE(c_ptr), INTENT(IN), VALUE :: c_dist\n\n INTEGER(kind=c_int), INTENT(in), value :: map1_2d_size\n INTEGER(kind=c_int), INTENT(in), TARGET, OPTIONAL :: c_map1_2d(map1_2d_size)\n INTEGER(kind=c_int), INTENT(in), value :: map2_2d_size\n INTEGER(kind=c_int), INTENT(in), TARGET, OPTIONAL :: c_map2_2d(map2_2d_size)\n\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: data_type\n\n TYPE(dbcsr_t_type), POINTER :: tensor_in\n TYPE(dbcsr_t_type), POINTER :: tensor\n CHARACTER(:, kind=c_char), ALLOCATABLE :: fname\n TYPE(dbcsr_t_distribution_type), POINTER :: dist\n INTEGER, DIMENSION(:), POINTER :: map1_2d, map2_2d\n\n CALL c_f_pointer(c_tensor_in, tensor_in)\n\n IF (c_associated(c_name)) CALL c_f_string(c_name, fname)\n\n ALLOCATE (tensor)\n\n NULLIFY (dist)\n IF (C_ASSOCIATED(c_dist)) CALL c_f_pointer(c_dist, dist)\n NULLIFY (map1_2d, map2_2d)\n IF (PRESENT(c_map1_2d) .AND. PRESENT(c_map2_2d)) THEN\n ALLOCATE (map1_2d(SIZE(c_map1_2d)))\n ALLOCATE (map2_2d(SIZE(c_map2_2d)))\n map1_2d = c_map1_2d + 1\n map2_2d = c_map2_2d + 1\n END IF\n\n CALL dbcsr_t_create(tensor_in, tensor, fname, dist, &\n map1_2d, map2_2d, data_type)\n\n c_tensor = c_loc(tensor)\n\n IF (ASSOCIATED(map1_2d)) DEALLOCATE (map1_2d)\n IF (ASSOCIATED(map2_2d)) DEALLOCATE (map2_2d)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_create_matrix(c_matrix_in, c_tensor, c_order, c_name) &\n BIND(C, name=\"c_dbcsr_t_create_matrix\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_in\n TYPE(c_ptr), INTENT(OUT) :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(2), &\n OPTIONAL :: c_order\n TYPE(c_ptr), INTENT(IN), OPTIONAL :: c_name\n\n TYPE(dbcsr_type), POINTER :: matrix_in\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER, DIMENSION(2) :: order\n CHARACTER(:, kind=c_char), ALLOCATABLE :: fname\n\n CALL c_f_pointer(c_matrix_in, matrix_in)\n IF (PRESENT(c_name)) CALL c_f_string(c_name, fname)\n\n IF (PRESENT(c_order)) THEN\n order = c_order + 1\n ELSE\n order = [1, 2]\n END IF\n\n ALLOCATE (tensor)\n\n CALL dbcsr_t_create(matrix_in, tensor, order, fname)\n\n c_tensor = c_loc(tensor)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_destroy(c_tensor) BIND(C, name=\"c_dbcsr_t_destroy\")\n TYPE(c_ptr), INTENT(INOUT) :: c_tensor\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_destroy(tensor)\n\n IF (ASSOCIATED(tensor)) DEALLOCATE (tensor)\n c_tensor = c_null_ptr\n\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix, dbase, dctype in cf_dtype_float_list\n\n SUBROUTINE c_dbcsr_t_contract_${dsuffix}$ (c_alpha, c_tensor_1, c_tensor_2, c_beta, c_tensor_3, &\n c_contract_1, contract_1_size, &\n c_notcontract_1, notcontract_1_size, &\n c_contract_2, contract_2_size, &\n c_notcontract_2, notcontract_2_size, &\n c_map_1, map_1_size, c_map_2, map_2_size, &\n c_bounds_1, c_bounds_2, c_bounds_3, &\n c_optimize_dist, c_pgrid_opt_1, c_pgrid_opt_2, c_pgrid_opt_3, &\n c_filter_eps, c_flop, c_move_data, c_retain_sparsity, &\n c_unit_nr, c_log_verbose) &\n BIND(C, name=\"c_dbcsr_t_contract_${dsuffix}$\")\n\n ${dbase}$ (kind=${dctype}$), INTENT(IN), VALUE :: c_alpha\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_1, c_tensor_2\n ${dbase}$ (kind=${dctype}$), INTENT(IN), VALUE :: c_beta\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_3\n\n INTEGER(kind=c_int), INTENT(IN), VALUE :: contract_1_size, contract_2_size\n INTEGER(kind=c_int), INTENT(IN), VALUE :: notcontract_1_size, notcontract_2_size\n INTEGER(kind=c_int), INTENT(IN), VALUE :: map_1_size, map_2_size\n\n INTEGER(kind=c_int), INTENT(IN), TARGET :: c_contract_1(contract_1_size), c_contract_2(contract_2_size)\n INTEGER(kind=c_int), INTENT(IN), TARGET :: c_map_1(map_1_size), c_map_2(map_2_size)\n INTEGER(kind=c_int), INTENT(IN), TARGET :: c_notcontract_1(notcontract_1_size), c_notcontract_2(notcontract_2_size)\n\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(2, contract_1_size), &\n OPTIONAL :: c_bounds_1\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(2, notcontract_1_size), &\n OPTIONAL :: c_bounds_2\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(2, notcontract_2_size), &\n OPTIONAL :: c_bounds_3\n\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_optimize_dist\n TYPE(c_ptr), INTENT(OUT), OPTIONAL :: c_pgrid_opt_1, c_pgrid_opt_2, c_pgrid_opt_3\n\n REAL(kind=c_double), INTENT(IN), OPTIONAL :: c_filter_eps\n INTEGER(kind=c_long_long), INTENT(INOUT), OPTIONAL :: c_flop\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_move_data\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_retain_sparsity\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_unit_nr\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_log_verbose\n\n TYPE(dbcsr_t_type), POINTER :: tensor_1\n TYPE(dbcsr_t_type), POINTER :: tensor_2\n TYPE(dbcsr_t_type), POINTER :: tensor_3\n LOGICAL, POINTER :: optimize_dist\n TYPE(dbcsr_t_pgrid_type), POINTER :: pgrid_opt_1, pgrid_opt_2, pgrid_opt_3\n\n INTEGER, DIMENSION(:, :), ALLOCATABLE :: bounds_1, bounds_2, bounds_3\n\n LOGICAL, POINTER :: move_data\n LOGICAL, POINTER :: retain_sparsity\n LOGICAL, POINTER :: log_verbose\n\n CALL c_f_pointer(c_tensor_1, tensor_1)\n CALL c_f_pointer(c_tensor_2, tensor_2)\n CALL c_f_pointer(c_tensor_3, tensor_3)\n\n #:for dim in range(1,4)\n IF (PRESENT(c_bounds_${dim}$)) THEN\n ALLOCATE (bounds_${dim}$ (2, SIZE(c_bounds_${dim}$, 2)))\n bounds_${dim}$ (:, :) = c_bounds_${dim}$ (:, :) + 1\n END IF\n #:endfor\n\n #:set list = ['optimize_dist', 'move_data', 'retain_sparsity', 'log_verbose']\n #:for var in list\n NULLIFY (${var}$)\n IF (PRESENT(c_${var}$)) THEN\n ALLOCATE (${var}$)\n ${var}$ = c_${var}$\n END IF\n #:endfor\n\n #:set optvars = [['pgrid_opt_1'],['pgrid_opt_2'],['pgrid_opt_3']]\n #:set optgroups = []\n ${gen_vargroups(optvars,optgroups)}$\n\n #:for var in optvars\n NULLIFY (${var[0]}$)\n #:endfor\n\n #:for i in range(len(optgroups))\n ${print_groupif(optgroups,optvars,i,'PRESENT','c_')}$\n\n CALL dbcsr_t_contract(alpha=dbcsr_scalar(c_alpha), tensor_1=tensor_1, &\n tensor_2=tensor_2, beta=dbcsr_scalar(c_beta), &\n tensor_3=tensor_3, contract_1=c_contract_1 + 1, &\n notcontract_1=c_notcontract_1 + 1, &\n contract_2=c_contract_2 + 1, notcontract_2=c_notcontract_2 + 1, &\n map_1=c_map_1 + 1, map_2=c_map_2 + 1, &\n bounds_1=bounds_1, bounds_2=bounds_2, bounds_3=bounds_3, &\n optimize_dist=optimize_dist &\n ${print_group(optgroups[i])}$, &\n filter_eps=c_filter_eps, flop=c_flop, move_data=move_data, &\n retain_sparsity=retain_sparsity, unit_nr=c_unit_nr, &\n log_verbose=log_verbose)\n #:endfor\n $:\"ENDIF\"\n\n #:for dim in range(1,4)\n IF (PRESENT(c_pgrid_opt_${dim}$)) c_pgrid_opt_${dim}$ = c_loc(pgrid_opt_${dim}$)\n #:endfor\n\n #:set list = ['optimize_dist', 'move_data', 'retain_sparsity', 'log_verbose']\n #:for var in list\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n\n #:for dim in range(1,4)\n IF (ALLOCATED(bounds_${dim}$)) DEALLOCATE (bounds_${dim}$)\n #:endfor\n\n IF (PRESENT(c_unit_nr)) THEN\n IF (c_unit_nr .GE. 0) THEN\n flush (c_unit_nr)\n END IF\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_contract_index_${dsuffix}$ (c_alpha, c_tensor_1, &\n c_tensor_2, c_beta, c_tensor_3, &\n c_contract_1, contract_1_size, &\n c_notcontract_1, notcontract_1_size, &\n c_contract_2, contract_2_size, &\n c_notcontract_2, notcontract_2_size, &\n c_map_1, map_1_size, c_map_2, map_2_size, &\n c_bounds_1, c_bounds_2, c_bounds_3, &\n c_filter_eps, c_nblks_local, c_result_index, &\n result_index_size, tensor3_dim) &\n BIND(C, name=\"c_dbcsr_t_contract_index_${dsuffix}$\")\n\n ${dbase}$ (kind=${dctype}$), INTENT(IN), VALUE :: c_alpha\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_1, c_tensor_2\n ${dbase}$ (kind=${dctype}$), INTENT(IN), VALUE :: c_beta\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_3\n\n INTEGER(kind=c_int), INTENT(IN), VALUE :: contract_1_size, contract_2_size\n INTEGER(kind=c_int), INTENT(IN), VALUE :: notcontract_1_size, notcontract_2_size\n INTEGER(kind=c_int), INTENT(IN), VALUE :: map_1_size, map_2_size\n\n INTEGER(kind=c_int), INTENT(IN) :: c_contract_1(contract_1_size), c_contract_2(contract_2_size)\n INTEGER(kind=c_int), INTENT(IN) :: c_map_1(map_1_size), c_map_2(map_2_size)\n INTEGER(kind=c_int), INTENT(IN) :: c_notcontract_1(notcontract_1_size), c_notcontract_2(notcontract_2_size)\n\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(2, contract_1_size), &\n OPTIONAL :: c_bounds_1\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(2, notcontract_1_size), &\n OPTIONAL :: c_bounds_2\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(2, notcontract_2_size), &\n OPTIONAL :: c_bounds_3\n\n REAL(kind=c_double), INTENT(IN), OPTIONAL :: c_filter_eps\n INTEGER(kind=c_int), INTENT(OUT) :: c_nblks_local\n INTEGER(kind=c_long_long), INTENT(IN), VALUE :: result_index_size\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor3_dim\n INTEGER(kind=c_int), DIMENSION(result_index_size, tensor3_dim), &\n INTENT(OUT) :: c_result_index\n\n TYPE(dbcsr_t_type), POINTER :: tensor_1\n TYPE(dbcsr_t_type), POINTER :: tensor_2\n TYPE(dbcsr_t_type), POINTER :: tensor_3\n INTEGER, DIMENSION(:, :), POINTER :: bounds_1, bounds_2, bounds_3\n INTEGER, DIMENSION(result_index_size, tensor3_dim) :: result_index\n\n CALL c_f_pointer(c_tensor_1, tensor_1)\n CALL c_f_pointer(c_tensor_2, tensor_2)\n CALL c_f_pointer(c_tensor_3, tensor_3)\n\n #:for dim in range(1,4)\n NULLIFY (bounds_${dim}$)\n IF (PRESENT(c_bounds_${dim}$)) THEN\n ALLOCATE (bounds_${dim}$ (2, SIZE(c_bounds_${dim}$, 2)))\n bounds_${dim}$ = c_bounds_${dim}$+1\n END IF\n #:endfor\n\n CALL dbcsr_t_contract_index(dbcsr_scalar(c_alpha), tensor_1, &\n tensor_2, dbcsr_scalar(c_beta), tensor_3, &\n c_contract_1 + 1, c_notcontract_1 + 1, &\n c_contract_2 + 1, c_notcontract_2 + 1, &\n c_map_1 + 1, c_map_2 + 1, &\n bounds_1, bounds_2, bounds_3, &\n c_filter_eps, c_nblks_local, result_index)\n\n c_result_index = result_index - 1\n\n #:for dim in range(1,4)\n IF (ASSOCIATED(bounds_${dim}$)) DEALLOCATE (bounds_${dim}$)\n #:endfor\n\n END SUBROUTINE\n\n #:endfor\n\n #:for dparam, dtype, dsuffix, basetype, cftype in cf_dtype_float_list\n #:for ndim in ndims\n\n SUBROUTINE c_dbcsr_t_get_${ndim}$d_block_${dsuffix}$ (c_tensor, tensor_dim, c_ind, c_sizes, c_block, c_found) &\n BIND(C, name=\"c_dbcsr_t_get_${ndim}$d_block_${dsuffix}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor_dim\n INTEGER(kind=c_int), DIMENSION(tensor_dim), &\n INTENT(IN) :: c_ind\n INTEGER(kind=c_int), DIMENSION(tensor_dim), &\n INTENT(IN) :: c_sizes\n ${basetype}$ (kind=${cftype}$), &\n DIMENSION(${arrlist(\"c_sizes\", nmax=ndim)}$), &\n INTENT(OUT) :: c_block\n LOGICAL(kind=c_bool), INTENT(OUT) :: c_found\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n LOGICAL :: found\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_get_block(tensor, c_ind + 1, c_sizes, c_block, found)\n c_found = LOGICAL(found, kind=c_bool)\n\n END SUBROUTINE\n #:endfor\n #:endfor\n\n #:for dparam, dtype, dsuffix, basetype, cftype in cf_dtype_float_list\n #:for ndim in ndims\n\n SUBROUTINE c_dbcsr_t_put_${ndim}$d_block_${dsuffix}$ (c_tensor, tensor_dim, c_ind, c_sizes, &\n c_block, c_summation, c_scale) &\n BIND(C, name=\"c_dbcsr_t_put_${ndim}$d_block_${dsuffix}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor_dim\n INTEGER(kind=c_int), DIMENSION(tensor_dim), &\n INTENT(IN) :: c_ind\n INTEGER(kind=c_int), DIMENSION(tensor_dim), &\n INTENT(IN) :: c_sizes\n ${basetype}$ (kind=${cftype}$), INTENT(IN), &\n DIMENSION(${arrlist(\"c_sizes\", nmax=ndim)}$) :: c_block\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_summation\n ${basetype}$ (kind=${cftype}$), INTENT(IN), &\n OPTIONAL :: c_scale\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n LOGICAL :: summation\n\n CALL c_f_pointer(c_tensor, tensor)\n\n IF (PRESENT(c_summation)) THEN\n summation = c_summation\n CALL dbcsr_t_put_block(tensor, c_ind + 1, c_sizes, &\n c_block, summation, c_scale)\n ELSE\n CALL dbcsr_t_put_block(tensor, c_ind + 1, c_sizes, &\n c_block, scale=c_scale)\n END IF\n\n END SUBROUTINE\n #:endfor\n #:endfor\n\n #:for dparam, dtype, dsuffix, basetype, cftype in cf_dtype_float_list\n #:for ndim in ndims\n SUBROUTINE c_dbcsr_t_get_${ndim}$d_block_p_${dsuffix}$ (c_tensor, c_ind, c_block, c_found) &\n BIND(C, name=\"c_dbcsr_t_get_${ndim}$d_block_p_${dsuffix}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN) :: c_ind(${ndim}$)\n TYPE(c_ptr), INTENT(INOUT) :: c_block\n LOGICAL(kind=c_bool), INTENT(INOUT) :: c_found\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER, DIMENSION(${ndim}$) :: ind\n LOGICAL :: found, tr\n\n INTEGER(KIND=int_8), DIMENSION(2) :: ind_2d\n ${dtype}$, DIMENSION(:, :), POINTER, CONTIGUOUS :: block_2d_ptr\n\n CALL c_f_pointer(c_tensor, tensor)\n ind = c_ind + 1\n\n NULLIFY (block_2d_ptr)\n\n ind_2d(:) = get_2d_indices_tensor(tensor%nd_index_blk, ind)\n\n CALL dbcsr_tas_get_block_p(tensor%matrix_rep, ind_2d(1), ind_2d(2), block_2d_ptr, tr, found)\n\n c_found = found\n c_block = c_loc(block_2d_ptr)\n\n END SUBROUTINE\n #:endfor\n #:endfor\n\n SUBROUTINE c_dbcsr_t_get_stored_coordinates(c_tensor, tensor_dim, c_ind_nd, c_processor) &\n BIND(C, name=\"c_dbcsr_t_get_stored_coordinates\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor_dim\n INTEGER(kind=c_int), DIMENSION(tensor_dim), &\n INTENT(IN) :: c_ind_nd\n INTEGER(kind=c_int), INTENT(OUT) :: c_processor\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_get_stored_coordinates(tensor, c_ind_nd + 1, c_processor)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_reserve_blocks_index(c_tensor, nblocks, ${varlist(\"c_blk_ind\")}$) &\n BIND(C, name=\"c_dbcsr_t_reserve_blocks_index\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(in), value :: nblocks\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: ${varlist(\"c_blk_ind\", suffix =\"(nblocks)\")}$\n INTEGER, DIMENSION(:), POINTER :: ${varlist(\"blk_ind\")}$\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n #:for ddim in ddims\n NULLIFY (blk_ind_${ddim}$)\n IF (PRESENT(c_blk_ind_${ddim}$)) THEN\n ALLOCATE (blk_ind_${ddim}$ (nblocks))\n blk_ind_${ddim}$ = c_blk_ind_${ddim}$+1\n END IF\n #:endfor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_reserve_blocks(tensor, ${varlist(\"blk_ind\")}$)\n\n #:for ddim in ddims\n IF (ASSOCIATED(blk_ind_${ddim}$)) DEALLOCATE (blk_ind_${ddim}$)\n #:endfor\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_reserve_blocks_template(c_tensor_in, c_tensor_out) &\n BIND(C, name=\"c_dbcsr_t_reserve_blocks_template\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_in\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_out\n\n TYPE(dbcsr_t_type), POINTER :: tensor_in\n TYPE(dbcsr_t_type), POINTER :: tensor_out\n\n CALL c_f_pointer(c_tensor_in, tensor_in)\n CALL c_f_pointer(c_tensor_out, tensor_out)\n\n CALL dbcsr_t_reserve_blocks(tensor_in, tensor_out)\n\n END SUBROUTINE\n\n FUNCTION c_ndims_iterator(c_iterator) BIND(C, name=\"c_ndims_iterator\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_iterator\n TYPE(dbcsr_t_iterator_type), POINTER :: iterator\n INTEGER(kind=c_int) :: c_ndims_iterator\n\n CALL c_f_pointer(c_iterator, iterator)\n\n c_ndims_iterator = iterator%nd_index%ndim_nd\n\n END FUNCTION\n\n SUBROUTINE c_dbcsr_t_iterator_start(c_iterator, c_tensor) BIND(C, name=\"c_dbcsr_t_iterator_start\")\n\n TYPE(c_ptr), INTENT(OUT) :: c_iterator\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n\n TYPE(dbcsr_t_iterator_type), POINTER :: iterator\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n ALLOCATE (iterator)\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_iterator_start(iterator, tensor)\n\n c_iterator = c_loc(iterator)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_iterator_stop(c_iterator) BIND(C, name=\"c_dbcsr_t_iterator_stop\")\n TYPE(c_ptr), INTENT(INOUT) :: c_iterator\n\n TYPE(dbcsr_t_iterator_type), POINTER :: iterator\n\n CALL c_f_pointer(c_iterator, iterator)\n\n CALL dbcsr_t_iterator_stop(iterator)\n\n IF (ASSOCIATED(iterator)) DEALLOCATE (iterator)\n c_iterator = c_null_ptr\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_iterator_next_block(c_iterator, iterator_size, c_ind_nd, c_blk, c_blk_p, c_blk_size, c_blk_offset) &\n BIND(C, name=\"c_dbcsr_t_iterator_next_block\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_iterator\n INTEGER(kind=c_int), INTENT(IN), VALUE :: iterator_size\n INTEGER(kind=c_int), DIMENSION(iterator_size), TARGET, &\n INTENT(OUT) :: c_ind_nd\n INTEGER(kind=c_int), INTENT(OUT) :: c_blk\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_blk_p\n INTEGER(kind=c_int), DIMENSION(iterator_size), INTENT(OUT), &\n OPTIONAL :: c_blk_size, c_blk_offset\n\n TYPE(dbcsr_t_iterator_type), POINTER :: iterator\n INTEGER, DIMENSION(iterator_size) :: ind_nd\n INTEGER, DIMENSION(:), POINTER :: blk_offset\n\n CALL c_f_pointer(c_iterator, iterator)\n\n NULLIFY (blk_offset)\n IF (PRESENT(c_blk_offset)) ALLOCATE (blk_offset(iterator_size))\n\n CALL dbcsr_t_iterator_next_block(iterator, ind_nd, c_blk, c_blk_p, c_blk_size, blk_offset)\n\n c_ind_nd = ind_nd - 1\n IF (PRESENT(c_blk_offset)) THEN\n c_blk_offset = blk_offset - 1\n DEALLOCATE (blk_offset)\n END IF\n\n END SUBROUTINE\n\n FUNCTION c_dbcsr_t_iterator_blocks_left(c_iterator) &\n BIND(C, name=\"c_dbcsr_t_iterator_blocks_left\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_iterator\n TYPE(dbcsr_t_iterator_type), POINTER :: iterator\n LOGICAL(kind=c_bool) :: c_dbcsr_t_iterator_blocks_left\n\n CALL c_f_pointer(c_iterator, iterator)\n c_dbcsr_t_iterator_blocks_left = LOGICAL(dbcsr_t_iterator_blocks_left(iterator), kind=c_bool)\n\n END FUNCTION\n\n SUBROUTINE c_dbcsr_t_split_blocks(c_tensor_in, tensor_dim, c_tensor_out, c_block_sizes, c_nodata) &\n BIND(C, name=\"c_dbcsr_t_split_blocks\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_in\n TYPE(c_ptr), INTENT(OUT) :: c_tensor_out\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor_dim\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(tensor_dim) &\n :: c_block_sizes\n LOGICAL(kind=c_bool), OPTIONAL :: c_nodata\n\n TYPE(dbcsr_t_type), POINTER :: tensor_in\n TYPE(dbcsr_t_type), POINTER :: tensor_out\n LOGICAL :: nodata\n\n CALL c_f_pointer(c_tensor_in, tensor_in)\n ALLOCATE (tensor_out)\n\n IF (PRESENT(c_nodata)) THEN\n nodata = c_nodata\n CALL dbcsr_t_split_blocks(tensor_in, tensor_out, c_block_sizes, nodata)\n ELSE\n CALL dbcsr_t_split_blocks(tensor_in, tensor_out, c_block_sizes)\n END IF\n\n c_tensor_out = c_loc(tensor_out)\n\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix, dbase, dctype in cf_dtype_float_list\n\n SUBROUTINE c_dbcsr_t_filter_${dsuffix}$ (c_tensor, c_eps, c_method, c_use_absolute) &\n BIND(C, name=\"c_dbcsr_t_filter_${dsuffix}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n ${dbase}$ (kind=${dctype}$), INTENT(IN), VALUE :: c_eps\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_method\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_use_absolute\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n LOGICAL :: use_absolute\n\n CALL c_f_pointer(c_tensor, tensor)\n\n IF (PRESENT(c_use_absolute)) THEN\n use_absolute = c_use_absolute\n CALL dbcsr_t_filter(tensor, c_eps, c_method, use_absolute)\n ELSE\n CALL dbcsr_t_filter(tensor, c_eps, c_method)\n END IF\n\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix, dbase, dctype in cf_dtype_float_list\n\n SUBROUTINE c_dbcsr_t_set_${dsuffix}$ (c_tensor, c_alpha) &\n BIND(C, name=\"c_dbcsr_t_set_${dsuffix}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n ${dbase}$ (kind=${dctype}$), INTENT(IN), VALUE :: c_alpha\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_set(tensor, c_alpha)\n\n END SUBROUTINE\n #:endfor\n\n SUBROUTINE c_dbcsr_t_copy_matrix_to_tensor(c_matrix_in, c_tensor_out, c_summation) &\n BIND(C, name=\"c_dbcsr_t_copy_matrix_to_tensor\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_in\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_out\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_summation\n\n TYPE(dbcsr_type), POINTER :: matrix_in\n TYPE(dbcsr_t_type), POINTER :: tensor_out\n LOGICAL :: summation\n\n CALL c_f_pointer(c_matrix_in, matrix_in)\n CALL c_f_pointer(c_tensor_out, tensor_out)\n\n IF (PRESENT(c_summation)) THEN\n summation = c_summation\n CALL dbcsr_t_copy_matrix_to_tensor(matrix_in, tensor_out, summation)\n ELSE\n CALL dbcsr_t_copy_matrix_to_tensor(matrix_in, tensor_out)\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_copy_tensor_to_matrix(c_tensor_in, c_matrix_out, c_summation) &\n BIND(C, name=\"c_dbcsr_t_copy_tensor_to_matrix\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_in\n TYPE(c_ptr), INTENT(IN), VALUE :: c_matrix_out\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_summation\n\n TYPE(dbcsr_t_type), POINTER :: tensor_in\n TYPE(dbcsr_type), POINTER :: matrix_out\n LOGICAL :: summation\n\n CALL c_f_pointer(c_tensor_in, tensor_in)\n CALL c_f_pointer(c_matrix_out, matrix_out)\n\n IF (PRESENT(c_summation)) THEN\n summation = c_summation\n CALL dbcsr_t_copy_tensor_to_matrix(tensor_in, matrix_out, summation)\n ELSE\n CALL dbcsr_t_copy_tensor_to_matrix(tensor_in, matrix_out)\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_blk_sizes(c_tensor, tensor_dim, c_ind, c_blk_size) &\n BIND(C, name=\"c_dbcsr_t_blk_sizes\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor_dim\n INTEGER(kind=c_int), DIMENSION(tensor_dim), INTENT(IN) :: c_ind\n INTEGER(kind=c_int), DIMENSION(tensor_dim), INTENT(OUT) :: c_blk_size\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_blk_sizes(tensor, c_ind + 1, c_blk_size)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_copy(c_tensor_in, tensor_dim, c_tensor_out, c_order, c_summation, c_bounds, c_move_data, c_unit_nr) &\n BIND(C, name=\"c_dbcsr_t_copy\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_in\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor_out\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor_dim\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(tensor_dim), &\n OPTIONAL :: c_order\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL :: c_summation\n INTEGER(kind=c_int), INTENT(IN), DIMENSION(2, tensor_dim), &\n OPTIONAL :: c_bounds\n LOGICAL(kind=c_bool), INTENT(IN), OPTIONAL ::c_move_data\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_unit_nr\n\n TYPE(dbcsr_t_type), POINTER :: tensor_in, tensor_out\n INTEGER, DIMENSION(:), POINTER :: order\n INTEGER, DIMENSION(:, :), POINTER :: bounds\n LOGICAL, POINTER :: summation, move_data\n\n CALL c_f_pointer(c_tensor_in, tensor_in)\n CALL c_f_pointer(c_tensor_out, tensor_out)\n\n NULLIFY (order)\n IF (PRESENT(c_order)) THEN\n ALLOCATE (order(tensor_dim))\n order = c_order + 1\n END IF\n\n NULLIFY (bounds)\n IF (PRESENT(c_bounds)) THEN\n ALLOCATE (bounds(2, tensor_dim))\n bounds = c_bounds + 1\n END IF\n\n NULLIFY (summation)\n IF (PRESENT(c_summation)) THEN\n ALLOCATE (summation)\n summation = c_summation\n END IF\n\n NULLIFY (move_data)\n IF (PRESENT(c_move_data)) THEN\n ALLOCATE (move_data)\n move_data = c_move_data\n END IF\n\n CALL dbcsr_t_copy(tensor_in, tensor_out, order, summation, bounds, move_data, c_unit_nr)\n\n #:set list = ['order', 'bounds', 'summation', 'move_data']\n #:for var in list\n IF (ASSOCIATED(${var}$)) DEALLOCATE (${var}$)\n #:endfor\n\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix, dbase, dctype in cf_dtype_float_list\n\n SUBROUTINE c_dbcsr_t_scale_${dsuffix}$ (c_tensor, c_alpha) &\n BIND(C, name=\"c_dbcsr_t_scale_${dsuffix}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n ${dbase}$ (kind=${dctype}$), INTENT(IN), VALUE :: c_alpha\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_scale(tensor, dbcsr_scalar(c_alpha))\n\n END SUBROUTINE\n\n #:endfor\n\n SUBROUTINE c_dbcsr_t_clear(c_tensor) BIND(C, name=\"c_dbcsr_t_clear\")\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_clear(tensor)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_get_info(c_tensor, tensor_dim, c_nblks_total, &\n c_nfull_total, &\n c_nblks_local, &\n c_nfull_local, &\n c_pdims, &\n c_my_ploc, &\n ${varlist(\"nblks_local\")}$, &\n ${varlist(\"nblks_total\")}$, &\n ${varlist(\"c_blks_local\")}$, &\n ${varlist(\"c_proc_dist\")}$, &\n ${varlist(\"c_blk_size\")}$, &\n ${varlist(\"c_blk_offset\")}$, &\n c_distribution, &\n c_name, &\n c_data_type) &\n BIND(C, name=\"c_dbcsr_t_get_info\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor_dim\n INTEGER(kind=c_int), DIMENSION(tensor_dim), INTENT(OUT), &\n OPTIONAL :: c_nblks_total\n INTEGER(kind=c_int), DIMENSION(tensor_dim), INTENT(OUT), &\n OPTIONAL :: c_nfull_total\n INTEGER(kind=c_int), DIMENSION(tensor_dim), INTENT(OUT), &\n OPTIONAL :: c_nblks_local\n INTEGER(kind=c_int), DIMENSION(tensor_dim), INTENT(OUT), &\n OPTIONAL :: c_nfull_local\n INTEGER(kind=c_int), DIMENSION(tensor_dim), INTENT(OUT), &\n OPTIONAL :: c_my_ploc\n INTEGER(kind=c_int), DIMENSION(tensor_dim), INTENT(OUT), &\n OPTIONAL :: c_pdims\n\n #:for idim in range(1, maxrank+1)\n INTEGER(kind=c_int), INTENT(IN), VALUE :: nblks_local_${idim}$\n INTEGER(kind=c_int), INTENT(IN), VALUE :: nblks_total_${idim}$\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL, &\n DIMENSION(nblks_local_${idim}$) :: c_blks_local_${idim}$\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL, &\n DIMENSION(nblks_total_${idim}$) :: c_proc_dist_${idim}$\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL, &\n DIMENSION(nblks_total_${idim}$) :: c_blk_size_${idim}$\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL, &\n DIMENSION(nblks_total_${idim}$) :: c_blk_offset_${idim}$\n #:endfor\n\n TYPE(c_ptr), INTENT(OUT), OPTIONAL :: c_distribution\n TYPE(c_ptr), INTENT(OUT), OPTIONAL :: c_name\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: c_data_type\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n TYPE(dbcsr_t_distribution_type), POINTER :: distribution\n CHARACTER(kind=c_char, len=:), POINTER :: name\n\n CALL c_f_pointer(c_tensor, tensor)\n\n NULLIFY (distribution)\n IF (PRESENT(c_distribution)) ALLOCATE (distribution)\n NULLIFY (name)\n IF (PRESENT(c_name)) ALLOCATE (CHARACTER(len=default_string_length) :: name)\n\n CALL dbcsr_t_get_info(tensor, c_nblks_total, c_nfull_total, c_nblks_local, &\n c_nfull_local, c_pdims, c_my_ploc, &\n ${varlist(\"c_blks_local\")}$, &\n ${varlist(\"c_proc_dist\")}$, &\n ${varlist(\"c_blk_size\")}$, &\n ${varlist(\"c_blk_offset\")}$, &\n distribution, name, &\n c_data_type)\n\n #:set list = ['blks_local', 'blk_offset']\n #:for idim in range(1, maxrank+1)\n #:for var in list\n IF (PRESENT(c_${var}$_${idim}$)) c_${var}$_${idim}$ = c_${var}$_${idim}$-1\n #:endfor\n #:endfor\n\n IF (PRESENT(c_name)) THEN\n name = TRIM(name)//char(0)\n c_name = c_loc(name)\n END IF\n\n IF (PRESENT(c_distribution)) c_distribution = c_loc(distribution)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_get_mapping_info(c_tensor, nd_size, nd_row_size, &\n nd_col_size, ndim_nd, ndim1_2d, ndim2_2d, &\n c_dims_2d_i8, c_dims_2d, c_dims_nd, &\n c_dims1_2d, c_dims2_2d, &\n c_map1_2d, c_map2_2d, &\n c_map_nd, base, c_col_major) &\n BIND(C, name=\"c_dbcsr_t_get_mapping_info\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n !! nd_size = ndims_mapping(map),\n !! nd_row_size = ndims_mapping_row(map),\n !! nd_col_size = ndims_mapping_column(map)\n INTEGER(kind=c_int), INTENT(IN), VALUE :: nd_size, nd_row_size, nd_col_size\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: ndim_nd, ndim1_2d, ndim2_2d\n INTEGER(kind=c_long_long), INTENT(OUT), DIMENSION(2), &\n OPTIONAL :: c_dims_2d_i8\n INTEGER(kind=c_int), INTENT(OUT), DIMENSION(2), &\n OPTIONAL :: c_dims_2d\n\n INTEGER(kind=c_int), INTENT(OUT), DIMENSION(nd_size), &\n OPTIONAL :: c_dims_nd\n INTEGER(kind=c_int), INTENT(OUT), DIMENSION(nd_row_size), &\n OPTIONAL :: c_dims1_2d, c_map1_2d\n INTEGER(kind=c_int), INTENT(OUT), DIMENSION(nd_col_size), &\n OPTIONAL :: c_dims2_2d, c_map2_2d\n INTEGER(kind=c_int), INTENT(OUT), DIMENSION(nd_size), &\n OPTIONAL :: c_map_nd\n\n INTEGER(kind=c_int), INTENT(OUT), OPTIONAL :: base\n LOGICAL(kind=c_bool), INTENT(OUT), OPTIONAL :: c_col_major\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n LOGICAL :: col_major\n\n CALL c_f_pointer(c_tensor, tensor)\n\n IF (PRESENT(c_col_major)) THEN\n CALL dbcsr_t_get_mapping_info(tensor%nd_index_blk, ndim_nd, ndim1_2d, &\n ndim2_2d, c_dims_2d_i8, c_dims_2d, c_dims_nd, &\n c_dims1_2d, c_dims2_2d, &\n c_map1_2d, c_map2_2d, c_map_nd, &\n base, col_major)\n c_col_major = LOGICAL(col_major, kind=c_bool)\n ELSE\n CALL dbcsr_t_get_mapping_info(tensor%nd_index_blk, ndim_nd, ndim1_2d, &\n ndim2_2d, c_dims_2d_i8, c_dims_2d, c_dims_nd, &\n c_dims1_2d, c_dims2_2d, &\n c_map1_2d, c_map2_2d, c_map_nd, &\n base)\n END IF\n\n #:set list = ['dims_nd', 'dims1_2d', 'dims2_2d', 'map1_2d', 'map2_2d', 'map_nd']\n #:for var in list\n IF (PRESENT(c_${var}$)) c_${var}$ = c_${var}$-1\n #:endfor\n\n END SUBROUTINE\n\n FUNCTION c_dbcsr_t_get_num_blocks(c_tensor) RESULT(c_num_blocks) &\n BIND(C, name=\"c_dbcsr_t_get_num_blocks\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER(kind=c_int) :: c_num_blocks\n\n CALL c_f_pointer(c_tensor, tensor)\n c_num_blocks = dbcsr_t_get_num_blocks(tensor)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_t_get_num_blocks_total(c_tensor) RESULT(c_num_blocks_total) &\n BIND(C, name=\"c_dbcsr_t_get_num_blocks_total\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER(kind=c_long_long) :: c_num_blocks_total\n\n CALL c_f_pointer(c_tensor, tensor)\n c_num_blocks_total = dbcsr_t_get_num_blocks_total(tensor)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_t_nblks_local(c_tensor, idim) &\n BIND(C, name=\"c_dbcsr_t_nblks_local\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), VALUE :: idim\n INTEGER(kind=c_int) :: c_dbcsr_t_nblks_local\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n CALL c_f_pointer(c_tensor, tensor)\n\n c_dbcsr_t_nblks_local = dbcsr_t_nblks_local(tensor, idim + 1)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_t_nblks_total(c_tensor, idim) &\n BIND(C, name=\"c_dbcsr_t_nblks_total\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), VALUE :: idim\n INTEGER(kind=c_int) :: c_dbcsr_t_nblks_total\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n CALL c_f_pointer(c_tensor, tensor)\n\n c_dbcsr_t_nblks_total = dbcsr_t_nblks_total(tensor, idim + 1)\n\n END FUNCTION\n\n SUBROUTINE c_dbcsr_t_dims(c_tensor, tensor_dim, c_dims) &\n BIND(C, name=\"c_dbcsr_t_dims\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), INTENT(IN), VALUE :: tensor_dim\n INTEGER(kind=c_int), DIMENSION(tensor_dim), &\n INTENT(OUT) :: c_dims\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_dims(tensor, c_dims)\n\n END SUBROUTINE\n\n FUNCTION c_dbcsr_t_ndims(c_tensor) BIND(C, name=\"c_dbcsr_t_ndims\")\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER(kind=c_int) :: c_dbcsr_t_ndims\n\n CALL c_f_pointer(c_tensor, tensor)\n\n c_dbcsr_t_ndims = dbcsr_t_ndims(tensor)\n END FUNCTION\n\n FUNCTION c_dbcsr_t_ndims_matrix_row(c_tensor) &\n BIND(C, name=\"c_dbcsr_t_ndims_matrix_row\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER(kind=c_long_long) :: c_dbcsr_t_ndims_matrix_row\n\n CALL c_f_pointer(c_tensor, tensor)\n\n c_dbcsr_t_ndims_matrix_row = &\n dbcsr_t_ndims_matrix_row(tensor)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_t_ndims_matrix_column(c_tensor) &\n BIND(C, name=\"c_dbcsr_t_ndims_matrix_column\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER(kind=c_long_long) :: c_dbcsr_t_ndims_matrix_column\n\n CALL c_f_pointer(c_tensor, tensor)\n\n c_dbcsr_t_ndims_matrix_column = &\n dbcsr_t_ndims_matrix_column(tensor)\n\n END FUNCTION\n\n FUNCTION c_dbcsr_t_get_nze(c_tensor) &\n BIND(C, name=\"c_dbcsr_t_get_nze\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER(kind=c_int) :: c_dbcsr_t_get_nze\n\n CALL c_f_pointer(c_tensor, tensor)\n c_dbcsr_t_get_nze = dbcsr_t_get_nze(tensor)\n END FUNCTION\n\n FUNCTION c_dbcsr_t_get_nze_total(c_tensor) &\n BIND(C, name=\"c_dbcsr_t_get_nze_total\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n TYPE(dbcsr_t_type), POINTER :: tensor\n INTEGER(kind=c_long_long) :: c_dbcsr_t_get_nze_total\n\n CALL c_f_pointer(c_tensor, tensor)\n c_dbcsr_t_get_nze_total = dbcsr_t_get_nze_total(tensor)\n END FUNCTION\n\n FUNCTION c_dbcsr_t_max_nblks_local(c_tensor) RESULT(max_blks) &\n BIND(C, name=\"c_dbcsr_t_max_nblks_local\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_long_long) :: max_blks\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n max_blks = dbcsr_t_max_nblks_local(tensor)\n END FUNCTION\n\n #:for dparam, dtype, dsuffix, basetype, cftype in cf_dtype_float_list\n SUBROUTINE c_dbcsr_t_get_data_${dsuffix}$ (c_tensor, c_data, c_data_size, &\n c_select_data_type, c_lb, c_ub) BIND(C, name=\"c_dbcsr_t_get_data_${dsuffix}$\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n TYPE(c_ptr), INTENT(INOUT) :: c_data\n INTEGER(kind=c_long_long), INTENT(INOUT) :: c_data_size\n ${basetype}$ (kind=${cftype}$), INTENT(IN), VALUE :: c_select_data_type\n INTEGER(kind=c_int), INTENT(IN), OPTIONAL :: c_lb, c_ub\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n ${basetype}$ (kind=${cftype}$), DIMENSION(:), POINTER :: DATA\n INTEGER, POINTER :: lb, ub\n\n CALL c_f_pointer(c_tensor, tensor)\n\n NULLIFY (lb)\n IF (PRESENT(c_lb)) THEN\n ALLOCATE (lb)\n lb = c_lb + 1\n END IF\n\n NULLIFY (ub)\n IF (PRESENT(c_ub)) THEN\n ALLOCATE (ub)\n ub = ub + 1\n END IF\n\n DATA => dbcsr_get_data_p(tensor%matrix_rep%matrix%data_area, &\n c_select_data_type, lb, ub)\n\n c_data = c_loc(DATA)\n c_data_size = SIZE(DATA)\n\n IF (ASSOCIATED(lb)) DEALLOCATE (lb)\n IF (ASSOCIATED(ub)) DEALLOCATE (ub)\n\n END SUBROUTINE\n #:endfor\n\n SUBROUTINE c_dbcsr_t_batched_contract_init(c_tensor) &\n BIND(C, name=\"c_dbcsr_t_batched_contract_init\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n\n CALL dbcsr_t_batched_contract_init(tensor)\n\n END SUBROUTINE\n\n SUBROUTINE c_dbcsr_t_batched_contract_finalize(c_tensor, c_unit_nr) &\n BIND(C, name=\"c_dbcsr_t_batched_contract_finalize\")\n\n TYPE(c_ptr), INTENT(IN), VALUE :: c_tensor\n INTEGER(kind=c_int), OPTIONAL :: c_unit_nr\n\n TYPE(dbcsr_t_type), POINTER :: tensor\n\n CALL c_f_pointer(c_tensor, tensor)\n IF (PRESENT(c_unit_nr)) THEN\n CALL dbcsr_t_batched_contract_finalize(tensor, c_unit_nr)\n ELSE\n CALL dbcsr_t_batched_contract_finalize(tensor)\n END IF\n\n END SUBROUTINE\n\nEND MODULE\n" }, { "path": "src/tensors/dbcsr_tensor_block.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor_block\n !! Methods to operate on n-dimensional tensor blocks.\n\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = maxrank\n #:set ndims = range(2,maxdim+1)\n\n USE dbcsr_allocate_wrap, ONLY: &\n allocate_any\n USE dbcsr_api, ONLY: &\n ${uselist(dtype_float_param)}$, dbcsr_iterator_type, &\n dbcsr_iterator_next_block, dbcsr_iterator_start, dbcsr_iterator_stop, dbcsr_type, &\n dbcsr_reserve_blocks, dbcsr_scalar_type, dbcsr_finalize, dbcsr_get_num_blocks, &\n dbcsr_type_no_symmetry, dbcsr_desymmetrize, dbcsr_release, dbcsr_has_symmetry\n USE dbcsr_tas_types, ONLY: &\n dbcsr_tas_iterator\n USE dbcsr_tas_base, ONLY: &\n dbcsr_tas_iterator_next_block, dbcsr_tas_iterator_blocks_left, dbcsr_tas_iterator_start, &\n dbcsr_tas_iterator_stop, dbcsr_tas_get_block_p, dbcsr_tas_put_block, dbcsr_tas_reserve_blocks\n USE dbcsr_kinds, ONLY: &\n ${uselist(dtype_float_prec)}$, int_8\n USE dbcsr_tensor_index, ONLY: &\n nd_to_2d_mapping, ndims_mapping, get_nd_indices_tensor, destroy_nd_to_2d_mapping, get_2d_indices_tensor\n USE dbcsr_array_list_methods, ONLY: &\n array_list, get_array_elements, destroy_array_list, sizes_of_arrays, create_array_list, &\n get_arrays\n USE dbcsr_tensor_types, ONLY: &\n dbcsr_t_type, ndims_tensor, dbcsr_t_get_data_type, dbcsr_t_blk_sizes, dbcsr_t_get_num_blocks, &\n dbcsr_t_finalize, ndims_matrix_row, ndims_matrix_column\n USE dbcsr_dist_operations, ONLY: &\n checker_tr\n USE dbcsr_toollib, ONLY: &\n swap\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor_block'\n\n PUBLIC :: &\n block_nd, &\n create_block, &\n dbcsr_t_get_block, &\n dbcsr_t_iterator_blocks_left, &\n dbcsr_t_iterator_next_block, &\n dbcsr_t_iterator_start, &\n dbcsr_t_iterator_stop, &\n dbcsr_t_iterator_type, &\n dbcsr_t_put_block, &\n dbcsr_t_reserve_blocks, &\n dbcsr_t_reserved_block_indices, &\n destroy_block, &\n ndims_iterator\n\n TYPE dbcsr_t_iterator_type\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(dbcsr_tas_iterator) :: iter\n TYPE(nd_to_2d_mapping) :: nd_index_blk\n TYPE(nd_to_2d_mapping) :: nd_index\n TYPE(array_list) :: blk_sizes, blk_offsets\n#else\n TYPE(dbcsr_tas_iterator) :: iter = dbcsr_tas_iterator()\n TYPE(nd_to_2d_mapping) :: nd_index_blk = nd_to_2d_mapping()\n TYPE(nd_to_2d_mapping) :: nd_index = nd_to_2d_mapping()\n TYPE(array_list) :: blk_sizes = array_list(), blk_offsets = array_list()\n#endif\n END TYPE dbcsr_t_iterator_type\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n PUBLIC :: block_nd_${dsuffix}$\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n TYPE block_nd_${dsuffix}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: sizes\n ${dtype}$, DIMENSION(:), ALLOCATABLE :: blk\n END TYPE\n\n #:endfor\n\n TYPE block_nd\n #:for dparam, dtype, dsuffix in dtype_float_list\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(block_nd_${dsuffix}$) :: ${dsuffix}$\n#else\n TYPE(block_nd_${dsuffix}$) :: ${dsuffix}$ = block_nd_${dsuffix}$ ()\n#endif\n #:endfor\n INTEGER :: data_type = -1\n END TYPE\n\n INTERFACE create_block\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE create_block_data_${dsuffix}$\n #:endfor\n MODULE PROCEDURE create_block_nodata\n END INTERFACE\n\n INTERFACE dbcsr_t_put_block\n #:for dparam, dtype, dsuffix in dtype_float_list\n #:for ndim in ndims\n MODULE PROCEDURE dbcsr_t_put_${ndim}$d_block_${dsuffix}$\n #:endfor\n #:endfor\n MODULE PROCEDURE dbcsr_t_put_anyd_block\n END INTERFACE\n\n INTERFACE dbcsr_t_get_block\n #:for dparam, dtype, dsuffix in dtype_float_list\n #:for ndim in ndims\n MODULE PROCEDURE dbcsr_t_get_${ndim}$d_block_${dsuffix}$\n MODULE PROCEDURE dbcsr_t_allocate_and_get_${ndim}$d_block_${dsuffix}$\n #:endfor\n #:endfor\n MODULE PROCEDURE dbcsr_t_get_anyd_block\n END INTERFACE\n\n INTERFACE dbcsr_t_reserve_blocks\n MODULE PROCEDURE dbcsr_t_reserve_blocks_index\n MODULE PROCEDURE dbcsr_t_reserve_blocks_index_array\n MODULE PROCEDURE dbcsr_t_reserve_blocks_template\n MODULE PROCEDURE dbcsr_t_reserve_blocks_tensor_to_matrix\n MODULE PROCEDURE dbcsr_t_reserve_blocks_matrix_to_tensor\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE create_block_nodata(block, sizes, data_type)\n !! Create block without data\n TYPE(block_nd), INTENT(OUT) :: block\n INTEGER, DIMENSION(:), INTENT(IN) :: sizes\n INTEGER, INTENT(IN) :: data_type\n\n block%data_type = data_type\n SELECT CASE (data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL create_block_nodata_${dsuffix}$ (block%${dsuffix}$, sizes)\n #:endfor\n END SELECT\n END SUBROUTINE\n\n SUBROUTINE destroy_block(block)\n !! Destroy block\n TYPE(block_nd), INTENT(INOUT) :: block\n\n SELECT CASE (block%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL destroy_block_${dsuffix}$ (block%${dsuffix}$)\n #:endfor\n END SELECT\n\n END SUBROUTINE\n\n FUNCTION block_size(block)\n !! block size\n TYPE(block_nd), INTENT(IN) :: block\n INTEGER, ALLOCATABLE, DIMENSION(:) :: block_size\n\n block_size = 0 ! invalid\n SELECT CASE (block%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL allocate_any(block_size, source=block%${dsuffix}$%sizes)\n #:endfor\n END SELECT\n END FUNCTION\n\n SUBROUTINE dbcsr_t_iterator_start(iterator, tensor)\n !! Generalization of dbcsr_iterator_start for tensors.\n TYPE(dbcsr_t_iterator_type), INTENT(OUT) :: iterator\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n\n DBCSR_ASSERT(tensor%valid)\n\n CALL dbcsr_tas_iterator_start(iterator%iter, tensor%matrix_rep)\n iterator%nd_index_blk = tensor%nd_index_blk\n iterator%nd_index = tensor%nd_index\n iterator%blk_sizes = tensor%blk_sizes\n iterator%blk_offsets = tensor%blk_offsets\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_iterator_stop(iterator)\n !! Generalization of dbcsr_iterator_stop for tensors.\n TYPE(dbcsr_t_iterator_type), INTENT(INOUT) :: iterator\n\n CALL dbcsr_tas_iterator_stop(iterator%iter)\n CALL destroy_nd_to_2d_mapping(iterator%nd_index)\n CALL destroy_nd_to_2d_mapping(iterator%nd_index_blk)\n CALL destroy_array_list(iterator%blk_sizes)\n CALL destroy_array_list(iterator%blk_offsets)\n\n END SUBROUTINE\n\n PURE FUNCTION ndims_iterator(iterator)\n !! Number of dimensions.\n !!\n !! Note: specification function below must be defined before it is used in\n !! the source due to a bug in the IBM XL Fortran compiler (compilation fails)\n\n TYPE(dbcsr_t_iterator_type), INTENT(IN) :: iterator\n INTEGER :: ndims_iterator\n\n ndims_iterator = iterator%nd_index%ndim_nd\n END FUNCTION\n\n SUBROUTINE dbcsr_t_iterator_next_block(iterator, ind_nd, blk, blk_p, blk_size, blk_offset)\n !! iterate over nd blocks of an nd rank tensor, index only (blocks must be retrieved by calling\n !! dbcsr_t_get_block on tensor).\n\n TYPE(dbcsr_t_iterator_type), INTENT(INOUT) :: iterator\n INTEGER, DIMENSION(ndims_iterator(iterator)), &\n INTENT(OUT) :: ind_nd\n !! nd index of block\n INTEGER, INTENT(OUT) :: blk\n !! is this needed?\n INTEGER, INTENT(OUT), OPTIONAL :: blk_p\n !! is this needed?\n INTEGER, DIMENSION(ndims_iterator(iterator)), &\n INTENT(OUT), OPTIONAL :: blk_size, blk_offset\n !! blk size in each dimension\n !! blk offset in each dimension\n\n INTEGER(KIND=int_8), DIMENSION(2) :: ind_2d\n\n CALL dbcsr_tas_iterator_next_block(iterator%iter, ind_2d(1), ind_2d(2), blk, blk_p=blk_p)\n\n ind_nd(:) = get_nd_indices_tensor(iterator%nd_index_blk, ind_2d)\n IF (PRESENT(blk_size)) blk_size(:) = get_array_elements(iterator%blk_sizes, ind_nd)\n ! note: blk_offset needs to be determined by tensor metadata, can not be derived from 2d row/col\n ! offset since block index mapping is not consistent with element index mapping\n IF (PRESENT(blk_offset)) blk_offset(:) = get_array_elements(iterator%blk_offsets, ind_nd)\n\n END SUBROUTINE\n\n FUNCTION dbcsr_t_iterator_blocks_left(iterator)\n !! Generalization of dbcsr_iterator_blocks_left for tensors.\n TYPE(dbcsr_t_iterator_type), INTENT(IN) :: iterator\n LOGICAL :: dbcsr_t_iterator_blocks_left\n\n dbcsr_t_iterator_blocks_left = dbcsr_tas_iterator_blocks_left(iterator%iter)\n\n END FUNCTION\n\n SUBROUTINE dbcsr_t_reserve_blocks_index_array(tensor, blk_ind)\n !! reserve blocks from indices as array object\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(:, :), INTENT(IN) :: blk_ind\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_reserve_blocks_index_array'\n\n CALL timeset(routineN, handle)\n #:for ndim in ndims\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n CALL dbcsr_t_reserve_blocks(tensor, ${arrlist(\"blk_ind\", nmax=ndim, ndim_pre=1)}$)\n END IF\n #:endfor\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_reserve_blocks_index(tensor, ${varlist(\"blk_ind\")}$)\n !! reserve tensor blocks using block indices\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"blk_ind\")}$\n !! index of blocks to reserve in each dimension\n INTEGER :: iblk, nblk, handle\n INTEGER(KIND=int_8), ALLOCATABLE, DIMENSION(:) :: cols, rows\n INTEGER(KIND=int_8), DIMENSION(2) :: ind_2d\n TYPE(array_list) :: blks\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: iblk_nd, ind_nd, nblk_tmp\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_reserve_blocks_index'\n\n CALL timeset(routineN, handle)\n DBCSR_ASSERT(tensor%valid)\n\n CALL create_array_list(blks, ndims_tensor(tensor), &\n ${varlist(\"blk_ind\")}$)\n\n nblk_tmp(:) = sizes_of_arrays(blks)\n nblk = nblk_tmp(1)\n ALLOCATE (cols(nblk), rows(nblk))\n DO iblk = 1, nblk\n iblk_nd(:) = iblk\n ind_nd(:) = get_array_elements(blks, iblk_nd)\n ind_2d(:) = get_2d_indices_tensor(tensor%nd_index_blk, ind_nd)\n rows(iblk) = ind_2d(1); cols(iblk) = ind_2d(2)\n END DO\n\n CALL dbcsr_tas_reserve_blocks(tensor%matrix_rep, rows=rows, columns=cols)\n CALL dbcsr_t_finalize(tensor)\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_reserve_blocks_template(tensor_in, tensor_out)\n !! reserve tensor blocks using template\n\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor_in\n !! template tensor\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_out\n INTEGER :: handle\n\n INTEGER, DIMENSION(dbcsr_t_get_num_blocks(tensor_in), ndims_tensor(tensor_in)) :: blk_ind\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_reserve_blocks_template'\n\n CALL timeset(routineN, handle)\n\n CALL dbcsr_t_reserved_block_indices(tensor_in, blk_ind)\n CALL dbcsr_t_reserve_blocks(tensor_out, blk_ind)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_reserve_blocks_matrix_to_tensor(matrix_in, tensor_out)\n !! reserve tensor blocks using matrix template\n TYPE(dbcsr_type), TARGET, INTENT(IN) :: matrix_in\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_out\n TYPE(dbcsr_type), POINTER :: matrix_in_desym\n\n INTEGER :: blk, iblk, nblk\n INTEGER, ALLOCATABLE, DIMENSION(:) :: blk_ind_1, blk_ind_2\n INTEGER, DIMENSION(2) :: ind_2d\n TYPE(dbcsr_iterator_type) :: iter\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_reserve_blocks_matrix_to_tensor'\n\n CALL timeset(routineN, handle)\n\n IF (dbcsr_has_symmetry(matrix_in)) THEN\n ALLOCATE (matrix_in_desym)\n CALL dbcsr_desymmetrize(matrix_in, matrix_in_desym)\n ELSE\n matrix_in_desym => matrix_in\n END IF\n\n nblk = dbcsr_get_num_blocks(matrix_in_desym)\n ALLOCATE (blk_ind_1(nblk), blk_ind_2(nblk))\n CALL dbcsr_iterator_start(iter, matrix_in_desym)\n DO iblk = 1, nblk\n CALL dbcsr_iterator_next_block(iter, ind_2d(1), ind_2d(2), blk)\n blk_ind_1(iblk) = ind_2d(1); blk_ind_2(iblk) = ind_2d(2)\n END DO\n CALL dbcsr_iterator_stop(iter)\n\n CALL dbcsr_t_reserve_blocks(tensor_out, blk_ind_1, blk_ind_2)\n\n IF (dbcsr_has_symmetry(matrix_in)) THEN\n CALL dbcsr_release(matrix_in_desym)\n DEALLOCATE (matrix_in_desym)\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_reserve_blocks_tensor_to_matrix(tensor_in, matrix_out)\n !! reserve matrix blocks using tensor template\n\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor_in\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix_out\n TYPE(dbcsr_t_iterator_type) :: iter\n INTEGER, ALLOCATABLE, DIMENSION(:) :: blk_ind_1, blk_ind_2\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_reserve_blocks_tensor_to_matrix'\n INTEGER :: handle, blk, iblk, nblk\n INTEGER, DIMENSION(2) :: ind_2d\n\n CALL timeset(routineN, handle)\n\n nblk = dbcsr_t_get_num_blocks(tensor_in)\n ALLOCATE (blk_ind_1(nblk), blk_ind_2(nblk))\n CALL dbcsr_t_iterator_start(iter, tensor_in)\n\n iblk = 0\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, ind_2d, blk)\n IF (dbcsr_has_symmetry(matrix_out)) THEN\n IF (checker_tr(ind_2d(1), ind_2d(2))) CYCLE\n IF (ind_2d(1) > ind_2d(2)) CALL swap(ind_2d(1), ind_2d(2))\n END IF\n\n iblk = iblk + 1\n blk_ind_1(iblk) = ind_2d(1); blk_ind_2(iblk) = ind_2d(2)\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n\n CALL dbcsr_reserve_blocks(matrix_out, blk_ind_1(:iblk), blk_ind_2(:iblk))\n CALL dbcsr_finalize(matrix_out)\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_reserved_block_indices(tensor, blk_ind)\n !! indices of non-zero blocks\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER :: blk, iblk, nblk\n TYPE(dbcsr_t_iterator_type) :: iterator\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: ind_nd\n INTEGER, DIMENSION(dbcsr_t_get_num_blocks(tensor), ndims_tensor(tensor)), INTENT(OUT) :: blk_ind\n\n DBCSR_ASSERT(tensor%valid)\n\n nblk = dbcsr_t_get_num_blocks(tensor)\n\n CALL dbcsr_t_iterator_start(iterator, tensor)\n DO iblk = 1, nblk\n CALL dbcsr_t_iterator_next_block(iterator, ind_nd, blk)\n blk_ind(iblk, :) = ind_nd(:)\n END DO\n CALL dbcsr_t_iterator_stop(iterator)\n\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE create_block_data_${dsuffix}$ (block, sizes, array)\n !! Create block from array, array can be n-dimensional.\n TYPE(block_nd), INTENT(OUT) :: block\n INTEGER, DIMENSION(:), INTENT(IN) :: sizes\n ${dtype}$, DIMENSION(PRODUCT(sizes)), INTENT(IN) :: array\n\n ASSOCIATE (blk => block%${dsuffix}$)\n block%data_type = ${dparam}$\n CALL allocate_any(blk%sizes, source=sizes)\n CALL allocate_any(blk%blk, source=array)\n END ASSOCIATE\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE create_block_nodata_${dsuffix}$ (block, sizes)\n !! Create and allocate block, but no data.\n INTEGER, INTENT(IN), DIMENSION(:) :: sizes\n TYPE(block_nd_${dsuffix}$), INTENT(OUT) :: block\n CALL allocate_any(block%sizes, source=sizes)\n ALLOCATE (block%blk(PRODUCT(sizes)))\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE destroy_block_${dsuffix}$ (block)\n TYPE(block_nd_${dsuffix}$), INTENT(INOUT) :: block\n DEALLOCATE (block%blk)\n DEALLOCATE (block%sizes)\n END SUBROUTINE\n #:endfor\n\n SUBROUTINE dbcsr_t_get_anyd_block(tensor, ind, block, found)\n !! Generic implementation of dbcsr_t_get_block (arbitrary tensor rank and arbitrary datatype)\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(IN) :: ind\n !! block index\n TYPE(block_nd), INTENT(OUT) :: block\n !! block to get\n LOGICAL, INTENT(OUT) :: found\n !! whether block was found\n\n SELECT CASE (dbcsr_t_get_data_type(tensor))\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL dbcsr_t_get_anyd_block_${dsuffix}$ (tensor, ind, block, found)\n #:endfor\n END SELECT\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_put_anyd_block(tensor, ind, block, summation, scale)\n !! Generic implementation of dbcsr_t_put_block (arbitrary tensor rank and arbitrary datatype)\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(IN) :: ind\n !! block index\n TYPE(block_nd), INTENT(IN) :: block\n !! block to put\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! whether block should be summed to existing block\n TYPE(dbcsr_scalar_type), INTENT(IN), OPTIONAL :: scale\n !! scaling factor\n\n SELECT CASE (block%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n IF (.NOT. PRESENT(scale)) THEN\n CALL dbcsr_t_put_anyd_block_${dsuffix}$ (tensor, ind, block%${dsuffix}$, summation)\n ELSE\n CALL dbcsr_t_put_anyd_block_${dsuffix}$ (tensor, ind, block%${dsuffix}$, summation, scale=scale%${dsuffix}$)\n END IF\n #:endfor\n END SELECT\n\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE dbcsr_t_put_anyd_block_${dsuffix}$ (tensor, ind, block, summation, scale)\n !! Generic implementation of dbcsr_t_put_block, template for datatype\n\n TYPE(block_nd_${dsuffix}$), INTENT(IN) :: block\n !! block to put\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! whether block should be summed to existing block\n ${dtype}$, INTENT(IN), OPTIONAL :: scale\n !! scaling factor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(IN) :: ind\n !! block index\n\n SELECT CASE (ndims_tensor(tensor))\n #:for ndim in ndims\n CASE (${ndim}$)\n CALL dbcsr_t_put_${ndim}$d_block_${dsuffix}$ (tensor, ind, block%sizes, block%blk, summation=summation, scale=scale)\n #:endfor\n END SELECT\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE dbcsr_t_get_anyd_block_${dsuffix}$ (tensor, ind, block, found)\n !! Generic implementation of dbcsr_t_get_block (arbitrary tensor rank)\n\n TYPE(block_nd), INTENT(OUT) :: block\n !! block to get\n LOGICAL, INTENT(OUT) :: found\n !! whether block was found\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(IN) :: ind\n !! block index\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: blk_size\n ${dtype}$, DIMENSION(:), ALLOCATABLE :: block_arr\n\n CALL dbcsr_t_blk_sizes(tensor, ind, blk_size)\n ALLOCATE (block_arr(PRODUCT(blk_size)))\n\n SELECT CASE (ndims_tensor(tensor))\n #:for ndim in ndims\n CASE (${ndim}$)\n CALL dbcsr_t_get_${ndim}$d_block_${dsuffix}$ (tensor, ind, blk_size, block_arr, found)\n #:endfor\n END SELECT\n CALL create_block(block, blk_size, block_arr)\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n #:for ndim in ndims\n SUBROUTINE dbcsr_t_put_${ndim}$d_block_${dsuffix}$ (tensor, ind, sizes, block, summation, scale)\n !! Template for dbcsr_t_put_block.\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(${ndim}$), INTENT(IN) :: ind\n !! block index\n INTEGER, DIMENSION(${ndim}$), INTENT(IN) :: sizes\n !! block size\n ${dtype}$, DIMENSION(${arrlist(\"sizes\", nmax=ndim)}$), &\n INTENT(IN), TARGET :: block\n !! block to put\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! whether block should be summed to existing block\n ${dtype}$, INTENT(IN), OPTIONAL :: scale\n !! scaling factor\n INTEGER(KIND=int_8), DIMENSION(2) :: ind_2d\n INTEGER, DIMENSION(2) :: shape_2d\n ${dtype}$, POINTER, DIMENSION(:, :) :: block_2d\n INTEGER, DIMENSION(${ndim}$) :: shape_nd\n LOGICAL :: found, new_block\n ${dtype}$, DIMENSION(${arrlist(\"sizes\", nmax=ndim)}$) :: block_check\n\n LOGICAL, PARAMETER :: debug = .FALSE.\n INTEGER :: i\n\n new_block = .FALSE.\n\n IF (debug) THEN\n CALL dbcsr_t_get_block(tensor, ind, sizes, block_check, found=found)\n DBCSR_ASSERT(found)\n END IF\n\n ASSOCIATE (map_nd => tensor%nd_index_blk%map_nd, &\n map1_2d => tensor%nd_index_blk%map1_2d, &\n map2_2d => tensor%nd_index_blk%map2_2d)\n\n shape_2d = [PRODUCT(sizes(map1_2d)), PRODUCT(sizes(map2_2d))]\n\n IF (ALL([map1_2d, map2_2d] == (/(i, i=1, ${ndim}$)/))) THEN\n ! to avoid costly reshape can do pointer bounds remapping as long as arrays are equivalent in memory\n block_2d(1:shape_2d(1), 1:shape_2d(2)) => block(${shape_colon(ndim)}$)\n ELSE\n ! need reshape due to rank reordering\n ALLOCATE (block_2d(shape_2d(1), shape_2d(2)))\n new_block = .TRUE.\n shape_nd(map_nd) = sizes\n block_2d(:, :) = RESHAPE(RESHAPE(block, SHAPE=shape_nd, order=map_nd), SHAPE=shape_2d)\n END IF\n\n ind_2d(:) = get_2d_indices_tensor(tensor%nd_index_blk, ind)\n\n END ASSOCIATE\n\n CALL dbcsr_tas_put_block(tensor%matrix_rep, ind_2d(1), ind_2d(2), block_2d, summation=summation, &\n scale=scale)\n\n IF (new_block) DEALLOCATE (block_2d)\n\n END SUBROUTINE\n #:endfor\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n #:for ndim in ndims\n SUBROUTINE dbcsr_t_allocate_and_get_${ndim}$d_block_${dsuffix}$ (tensor, ind, block, found)\n !! allocate and get block\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(${ndim}$), INTENT(IN) :: ind\n !! block index\n ${dtype}$, DIMENSION(${shape_colon(ndim)}$), &\n ALLOCATABLE, INTENT(OUT) :: block\n !! block to get\n LOGICAL, INTENT(OUT) :: found\n !! whether block was found\n INTEGER, DIMENSION(${ndim}$) :: blk_size\n\n CALL dbcsr_t_blk_sizes(tensor, ind, blk_size)\n CALL allocate_any(block, shape_spec=blk_size)\n CALL dbcsr_t_get_${ndim}$d_block_${dsuffix}$ (tensor, ind, blk_size, block, found)\n\n END SUBROUTINE\n #:endfor\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n #:for ndim in ndims\n SUBROUTINE dbcsr_t_get_${ndim}$d_block_${dsuffix}$ (tensor, ind, sizes, block, found)\n !! Template for dbcsr_t_get_block.\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, DIMENSION(${ndim}$), INTENT(IN) :: ind\n !! block index\n INTEGER, DIMENSION(${ndim}$), INTENT(IN) :: sizes\n !! block size\n ${dtype}$, DIMENSION(${arrlist(\"sizes\", nmax=ndim)}$), &\n INTENT(OUT) :: block\n !! block to get\n LOGICAL, INTENT(OUT) :: found\n !! whether block was found\n\n INTEGER(KIND=int_8), DIMENSION(2) :: ind_2d\n ${dtype}$, DIMENSION(:, :), POINTER, CONTIGUOUS :: block_2d_ptr\n LOGICAL :: tr\n INTEGER :: i\n ${dtype}$, DIMENSION(${shape_colon(ndim)}$), POINTER :: block_ptr\n\n NULLIFY (block_2d_ptr)\n\n ind_2d(:) = get_2d_indices_tensor(tensor%nd_index_blk, ind)\n\n ASSOCIATE (map1_2d => tensor%nd_index_blk%map1_2d, &\n map2_2d => tensor%nd_index_blk%map2_2d)\n\n CALL dbcsr_tas_get_block_p(tensor%matrix_rep, ind_2d(1), ind_2d(2), block_2d_ptr, tr, found)\n DBCSR_ASSERT(.NOT. tr)\n\n IF (found) THEN\n IF (ALL([map1_2d, map2_2d] == (/(i, i=1, ${ndim}$)/))) THEN\n ! to avoid costly reshape can do pointer bounds remapping as long as arrays are equivalent in memory\n block_ptr(${shape_explicit('block', ndim)}$) => block_2d_ptr(:, :)\n block(${shape_colon(ndim)}$) = block_ptr(${shape_colon(ndim)}$)\n ELSE\n ! need reshape due to rank reordering\n block(${shape_colon(ndim)}$) = RESHAPE(block_2d_ptr, SHAPE=SHAPE(block), ORDER=[map1_2d, map2_2d])\n END IF\n END IF\n\n END ASSOCIATE\n\n END SUBROUTINE\n #:endfor\n #:endfor\n\nEND MODULE\n" }, { "path": "src/tensors/dbcsr_tensor_index.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor_index\n !! tensor index and mapping to DBCSR index\n USE dbcsr_allocate_wrap, ONLY: allocate_any\n USE dbcsr_kinds, ONLY: int_8\n#include \"base/dbcsr_base_uses.f90\"\n #:include \"dbcsr_tensor.fypp\"\n\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor_index'\n\n PUBLIC :: &\n combine_tensor_index, &\n combine_pgrid_index, &\n create_nd_to_2d_mapping, &\n destroy_nd_to_2d_mapping, &\n get_2d_indices_tensor, &\n get_2d_indices_pgrid, &\n dbcsr_t_get_mapping_info, &\n get_nd_indices_tensor, &\n get_nd_indices_pgrid, &\n nd_to_2d_mapping, &\n ndims_mapping, &\n split_tensor_index, &\n split_pgrid_index, &\n ndims_mapping_row, &\n ndims_mapping_column, &\n dbcsr_t_inverse_order, &\n permute_index\n\n TYPE nd_to_2d_mapping\n INTEGER :: ndim_nd = -1\n INTEGER :: ndim1_2d = -1\n INTEGER :: ndim2_2d = -1\n\n INTEGER, DIMENSION(:), ALLOCATABLE :: dims_nd\n INTEGER(KIND=int_8), DIMENSION(2) :: dims_2d = -1_int_8\n INTEGER, DIMENSION(:), ALLOCATABLE :: dims1_2d\n INTEGER, DIMENSION(:), ALLOCATABLE :: dims2_2d\n\n INTEGER, DIMENSION(:), ALLOCATABLE :: map1_2d\n INTEGER, DIMENSION(:), ALLOCATABLE :: map2_2d\n INTEGER, DIMENSION(:), ALLOCATABLE :: map_nd\n\n INTEGER :: base = -1\n LOGICAL :: col_major = .FALSE.\n END TYPE nd_to_2d_mapping\n\nCONTAINS\n\n SUBROUTINE create_nd_to_2d_mapping(map, dims, map1_2d, map2_2d, base, col_major)\n !! Create all data needed to quickly map between nd index and 2d index.\n\n TYPE(nd_to_2d_mapping), INTENT(OUT) :: map\n !! index mapping data\n INTEGER, DIMENSION(:), INTENT(IN) :: dims, map1_2d, map2_2d\n !! nd sizes\n !! which nd-indices map to first matrix index and in which order\n !! which nd-indices map to second matrix index and in which order\n INTEGER, INTENT(IN), OPTIONAL :: base\n !! base index (1 for Fortran-style, 0 for C-style, default is 1)\n LOGICAL, INTENT(IN), OPTIONAL :: col_major\n !! whether index should be column major order (.TRUE. for Fortran-style, .FALSE. for C-style, default is .TRUE.).\n\n INTEGER :: i\n\n IF (PRESENT(col_major)) THEN\n map%col_major = col_major\n ELSE\n map%col_major = .TRUE.\n END IF\n\n IF (PRESENT(base)) THEN\n map%base = base\n ELSE\n map%base = 1\n END IF\n\n map%ndim1_2d = SIZE(map1_2d)\n map%ndim2_2d = SIZE(map2_2d)\n map%ndim_nd = SIZE(dims)\n\n CALL allocate_any(map%map1_2d, source=map1_2d)\n CALL allocate_any(map%map2_2d, source=map2_2d)\n CALL allocate_any(map%dims_nd, source=dims)\n CALL allocate_any(map%dims1_2d, source=dims(map1_2d))\n CALL allocate_any(map%dims2_2d, source=dims(map2_2d))\n\n ALLOCATE (map%map_nd(map%ndim_nd))\n map%map_nd(map1_2d) = (/(i, i=1, SIZE(map1_2d))/)\n map%map_nd(map2_2d) = (/(i + SIZE(map1_2d), i=1, SIZE(map2_2d))/)\n\n map%dims_2d = [PRODUCT(INT(map%dims1_2d, KIND=int_8)), PRODUCT(INT(map%dims2_2d, KIND=int_8))]\n\n END SUBROUTINE create_nd_to_2d_mapping\n\n SUBROUTINE destroy_nd_to_2d_mapping(map)\n TYPE(nd_to_2d_mapping), INTENT(INOUT) :: map\n\n DEALLOCATE (map%dims1_2d)\n DEALLOCATE (map%dims2_2d)\n DEALLOCATE (map%map1_2d)\n DEALLOCATE (map%map2_2d)\n DEALLOCATE (map%map_nd)\n DEALLOCATE (map%dims_nd)\n END SUBROUTINE destroy_nd_to_2d_mapping\n\n PURE FUNCTION ndims_mapping(map)\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map\n INTEGER :: ndims_mapping\n\n ndims_mapping = map%ndim_nd\n END FUNCTION\n\n PURE FUNCTION ndims_mapping_row(map)\n !! how many tensor dimensions are mapped to matrix row\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map\n INTEGER :: ndims_mapping_row\n ndims_mapping_row = map%ndim1_2d\n END FUNCTION\n\n PURE FUNCTION ndims_mapping_column(map)\n !! how many tensor dimensions are mapped to matrix column\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map\n INTEGER :: ndims_mapping_column\n ndims_mapping_column = map%ndim2_2d\n END FUNCTION\n\n PURE SUBROUTINE dbcsr_t_get_mapping_info(map, ndim_nd, ndim1_2d, ndim2_2d, dims_2d_i8, dims_2d, dims_nd, dims1_2d, dims2_2d, &\n map1_2d, map2_2d, map_nd, base, col_major)\n !! get mapping info\n\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map\n !! index mapping data.\n INTEGER, INTENT(OUT), OPTIONAL :: ndim_nd, ndim1_2d, ndim2_2d\n !! number of dimensions\n !! number of dimensions that map to first 2d index\n !! number of dimensions that map to first 2d index\n INTEGER(KIND=int_8), DIMENSION(2), INTENT(OUT), OPTIONAL :: dims_2d_i8\n INTEGER, DIMENSION(2), INTENT(OUT), OPTIONAL :: dims_2d\n !! 2d dimensions\n INTEGER, DIMENSION(ndims_mapping(map)), &\n INTENT(OUT), OPTIONAL :: dims_nd\n !! nd dimensions\n INTEGER, DIMENSION(ndims_mapping_row(map)), INTENT(OUT), &\n OPTIONAL :: dims1_2d\n !! dimensions that map to first 2d index\n INTEGER, DIMENSION(ndims_mapping_column(map)), INTENT(OUT), &\n OPTIONAL :: dims2_2d\n !! dimensions that map to second 2d index\n INTEGER, DIMENSION(ndims_mapping_row(map)), INTENT(OUT), &\n OPTIONAL :: map1_2d\n !! indices that map to first 2d index\n INTEGER, DIMENSION(ndims_mapping_column(map)), INTENT(OUT), &\n OPTIONAL :: map2_2d\n !! indices that map to second 2d index\n INTEGER, DIMENSION(ndims_mapping(map)), &\n INTENT(OUT), OPTIONAL :: map_nd\n !! inverse of [map1_2d, map2_2d]\n INTEGER, INTENT(OUT), OPTIONAL :: base\n !! base index\n LOGICAL, INTENT(OUT), OPTIONAL :: col_major\n !! is index in column major order\n\n IF (PRESENT(ndim_nd)) ndim_nd = map%ndim_nd\n IF (PRESENT(ndim1_2d)) ndim1_2d = map%ndim1_2d\n IF (PRESENT(ndim2_2d)) ndim2_2d = map%ndim2_2d\n IF (PRESENT(dims_2d_i8)) dims_2d_i8(:) = map%dims_2d(:)\n IF (PRESENT(dims_2d)) dims_2d(:) = INT(map%dims_2d(:))\n IF (PRESENT(dims_nd)) THEN\n dims_nd(:) = map%dims_nd(:)\n END IF\n IF (PRESENT(dims1_2d)) THEN\n dims1_2d(:) = map%dims1_2d\n END IF\n IF (PRESENT(dims2_2d)) THEN\n dims2_2d(:) = map%dims2_2d\n END IF\n IF (PRESENT(map1_2d)) THEN\n map1_2d(:) = map%map1_2d\n END IF\n IF (PRESENT(map2_2d)) THEN\n map2_2d(:) = map%map2_2d\n END IF\n IF (PRESENT(map_nd)) THEN\n map_nd(:) = map%map_nd(:)\n END IF\n IF (PRESENT(base)) THEN\n base = map%base\n END IF\n IF (PRESENT(col_major)) THEN\n col_major = map%col_major\n END IF\n\n END SUBROUTINE dbcsr_t_get_mapping_info\n\n PURE FUNCTION combine_tensor_index(ind_in, dims) RESULT(ind_out)\n !! transform nd index to flat index\n INTEGER, DIMENSION(:), INTENT(IN) :: ind_in, dims\n !! nd index\n !! nd dimensions\n INTEGER(KIND=int_8) :: ind_out\n !! flat index\n INTEGER :: i_dim\n\n ind_out = ind_in(SIZE(dims))\n DO i_dim = SIZE(dims) - 1, 1, -1\n ind_out = (ind_out - 1)*dims(i_dim) + ind_in(i_dim)\n END DO\n\n END FUNCTION\n\n PURE FUNCTION combine_pgrid_index(ind_in, dims) RESULT(ind_out)\n !! transform nd index to flat index\n\n INTEGER, DIMENSION(:), INTENT(IN) :: ind_in, dims\n !! nd index\n !! nd dimensions\n INTEGER :: ind_out\n !! flat index\n\n INTEGER :: i_dim\n\n ind_out = ind_in(1)\n DO i_dim = 2, SIZE(dims)\n ind_out = ind_out*dims(i_dim) + ind_in(i_dim)\n END DO\n END FUNCTION\n\n PURE FUNCTION split_tensor_index(ind_in, dims) RESULT(ind_out)\n !! transform flat index to nd index\n\n INTEGER(KIND=int_8), INTENT(IN) :: ind_in\n !! flat index\n INTEGER, DIMENSION(:), INTENT(IN) :: dims\n !! nd dimensions\n INTEGER, DIMENSION(SIZE(dims)) :: ind_out\n !! nd index\n\n INTEGER(KIND=int_8) :: tmp\n INTEGER :: i_dim\n\n tmp = ind_in\n DO i_dim = 1, SIZE(dims)\n ind_out(i_dim) = INT(MOD(tmp - 1, INT(dims(i_dim), int_8)) + 1)\n tmp = (tmp - 1)/dims(i_dim) + 1\n END DO\n\n END FUNCTION\n\n PURE FUNCTION split_pgrid_index(ind_in, dims) RESULT(ind_out)\n !! transform flat index to nd index\n\n INTEGER, INTENT(IN) :: ind_in\n !! flat index\n INTEGER, DIMENSION(:), INTENT(IN) :: dims\n !! nd dimensions\n INTEGER, DIMENSION(SIZE(dims)) :: ind_out\n !! nd index\n\n INTEGER :: tmp\n INTEGER :: i_dim\n\n tmp = ind_in\n DO i_dim = SIZE(dims), 1, -1\n ind_out(i_dim) = MOD(tmp, dims(i_dim))\n tmp = tmp/dims(i_dim)\n END DO\n END FUNCTION\n\n PURE FUNCTION get_2d_indices_tensor(map, ind_in) RESULT(ind_out)\n !! transform nd index to 2d index, using info from index mapping.\n\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map\n !! index mapping\n INTEGER, DIMENSION(map%ndim_nd), INTENT(IN) :: ind_in\n !! nd index\n INTEGER(KIND=int_8), DIMENSION(2) :: ind_out\n !! 2d index\n INTEGER :: i\n INTEGER, DIMENSION(${maxrank}$) :: ind_tmp\n\n DO i = 1, map%ndim1_2d\n ind_tmp(i) = ind_in(map%map1_2d(i))\n END DO\n ind_out(1) = combine_tensor_index(ind_tmp(:map%ndim1_2d), map%dims1_2d)\n\n DO i = 1, map%ndim2_2d\n ind_tmp(i) = ind_in(map%map2_2d(i))\n END DO\n ind_out(2) = combine_tensor_index(ind_tmp(:map%ndim2_2d), map%dims2_2d)\n END FUNCTION\n\n PURE FUNCTION get_2d_indices_pgrid(map, ind_in) RESULT(ind_out)\n !! transform nd index to 2d index, using info from index mapping.\n\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map\n !! index mapping\n INTEGER, DIMENSION(map%ndim_nd), INTENT(IN) :: ind_in\n !! nd index\n INTEGER, DIMENSION(2) :: ind_out\n !! 2d index\n INTEGER :: i\n INTEGER, DIMENSION(${maxrank}$) :: ind_tmp\n\n DO i = 1, map%ndim1_2d\n ind_tmp(i) = ind_in(map%map1_2d(i))\n END DO\n ind_out(1) = combine_pgrid_index(ind_tmp(:map%ndim1_2d), map%dims1_2d)\n\n DO i = 1, map%ndim2_2d\n ind_tmp(i) = ind_in(map%map2_2d(i))\n END DO\n ind_out(2) = combine_pgrid_index(ind_tmp(:map%ndim2_2d), map%dims2_2d)\n END FUNCTION\n\n PURE FUNCTION get_nd_indices_tensor(map, ind_in) RESULT(ind_out)\n !! transform 2d index to nd index, using info from index mapping.\n\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map\n !! index mapping\n INTEGER(KIND=int_8), DIMENSION(2), INTENT(IN) :: ind_in\n !! 2d index\n INTEGER, DIMENSION(map%ndim_nd) :: ind_out\n !! nd index\n INTEGER, DIMENSION(${maxrank}$) :: ind_tmp\n INTEGER :: i\n\n ind_tmp(:map%ndim1_2d) = split_tensor_index(ind_in(1), map%dims1_2d)\n\n DO i = 1, map%ndim1_2d\n ind_out(map%map1_2d(i)) = ind_tmp(i)\n END DO\n\n ind_tmp(:map%ndim2_2d) = split_tensor_index(ind_in(2), map%dims2_2d)\n\n DO i = 1, map%ndim2_2d\n ind_out(map%map2_2d(i)) = ind_tmp(i)\n END DO\n\n END FUNCTION\n\n PURE FUNCTION get_nd_indices_pgrid(map, ind_in) RESULT(ind_out)\n !! transform 2d index to nd index, using info from index mapping.\n\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map\n !! index mapping\n INTEGER, DIMENSION(2), INTENT(IN) :: ind_in\n !! 2d index\n INTEGER, DIMENSION(map%ndim_nd) :: ind_out\n !! nd index\n\n ind_out(map%map1_2d) = split_pgrid_index(ind_in(1), map%dims1_2d)\n ind_out(map%map2_2d) = split_pgrid_index(ind_in(2), map%dims2_2d)\n\n END FUNCTION\n\n PURE FUNCTION dbcsr_t_inverse_order(order)\n !! Invert order\n INTEGER, DIMENSION(:), INTENT(IN) :: order\n INTEGER, DIMENSION(SIZE(order)) :: dbcsr_t_inverse_order\n\n INTEGER :: i\n\n dbcsr_t_inverse_order(order) = (/(i, i=1, SIZE(order))/)\n END FUNCTION\n\n SUBROUTINE permute_index(map_in, map_out, order)\n !! reorder tensor index (no data)\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map_in\n TYPE(nd_to_2d_mapping), INTENT(OUT) :: map_out\n INTEGER, DIMENSION(ndims_mapping(map_in)), &\n INTENT(IN) :: order\n\n INTEGER :: ndim_nd\n INTEGER, DIMENSION(ndims_mapping_row(map_in)) :: map1_2d, map1_2d_reorder\n INTEGER, DIMENSION(ndims_mapping_column(map_in)) :: map2_2d, map2_2d_reorder\n INTEGER, DIMENSION(ndims_mapping(map_in)) :: dims_nd, dims_reorder\n\n CALL dbcsr_t_get_mapping_info(map_in, ndim_nd, dims_nd=dims_nd, map1_2d=map1_2d, map2_2d=map2_2d)\n\n dims_reorder(order) = dims_nd\n\n map1_2d_reorder(:) = order(map1_2d)\n map2_2d_reorder(:) = order(map2_2d)\n\n CALL create_nd_to_2d_mapping(map_out, dims_reorder, map1_2d_reorder, map2_2d_reorder)\n END SUBROUTINE\nEND MODULE dbcsr_tensor_index\n" }, { "path": "src/tensors/dbcsr_tensor_io.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor_io\n !! DBCSR tensor Input / Output\n\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = maxrank\n #:set ndims = range(2,maxdim+1)\n\n USE dbcsr_tensor_types, ONLY: &\n dbcsr_t_get_info, dbcsr_t_type, ndims_tensor, dbcsr_t_get_num_blocks, dbcsr_t_get_num_blocks_total, &\n blk_dims_tensor, dbcsr_t_get_stored_coordinates, dbcsr_t_get_nze, dbcsr_t_get_nze_total, &\n dbcsr_t_pgrid_type, dbcsr_t_nblks_total\n USE dbcsr_kinds, ONLY: default_string_length, int_8, real_8\n USE dbcsr_mpiwrap, ONLY: mp_environ, mp_max, mp_comm_type\n USE dbcsr_tensor_block, ONLY: &\n dbcsr_t_iterator_type, dbcsr_t_iterator_next_block, dbcsr_t_iterator_start, &\n dbcsr_t_iterator_blocks_left, dbcsr_t_iterator_stop, dbcsr_t_get_block\n USE dbcsr_tas_io, ONLY: dbcsr_tas_write_split_info\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor_types'\n\n PUBLIC :: &\n dbcsr_t_write_tensor_info, &\n dbcsr_t_write_tensor_dist, &\n dbcsr_t_write_blocks, &\n dbcsr_t_write_block, &\n dbcsr_t_write_block_indices, &\n dbcsr_t_write_split_info, &\n prep_output_unit\n\nCONTAINS\n\n SUBROUTINE dbcsr_t_write_tensor_info(tensor, unit_nr, full_info)\n !! Write tensor global info: block dimensions, full dimensions and process grid dimensions\n\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, INTENT(IN) :: unit_nr\n LOGICAL, OPTIONAL, INTENT(IN) :: full_info\n !! Whether to print distribution and block size vectors\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: nblks_total, nfull_total, pdims, my_ploc, nblks_local, nfull_local\n\n #:for idim in range(1, maxdim+1)\n INTEGER, DIMENSION(dbcsr_t_nblks_total(tensor, ${idim}$)) :: proc_dist_${idim}$\n INTEGER, DIMENSION(dbcsr_t_nblks_total(tensor, ${idim}$)) :: blk_size_${idim}$\n INTEGER, DIMENSION(dbcsr_t_nblks_total(tensor, ${idim}$)) :: blks_local_${idim}$\n #:endfor\n CHARACTER(len=default_string_length) :: name\n INTEGER :: idim\n INTEGER :: iblk\n INTEGER :: unit_nr_prv\n\n unit_nr_prv = prep_output_unit(unit_nr)\n IF (unit_nr_prv == 0) RETURN\n\n CALL dbcsr_t_get_info(tensor, nblks_total, nfull_total, nblks_local, nfull_local, pdims, my_ploc, &\n ${varlist(\"blks_local\")}$, ${varlist(\"proc_dist\")}$, ${varlist(\"blk_size\")}$, &\n name=name)\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"GLOBAL INFO OF \"//TRIM(name)\n WRITE (unit_nr_prv, \"(T4,A,1X)\", advance=\"no\") \"block dimensions:\"\n DO idim = 1, ndims_tensor(tensor)\n WRITE (unit_nr_prv, \"(I6)\", advance=\"no\") nblks_total(idim)\n END DO\n WRITE (unit_nr_prv, \"(/T4,A,1X)\", advance=\"no\") \"full dimensions:\"\n DO idim = 1, ndims_tensor(tensor)\n WRITE (unit_nr_prv, \"(I8)\", advance=\"no\") nfull_total(idim)\n END DO\n WRITE (unit_nr_prv, \"(/T4,A,1X)\", advance=\"no\") \"process grid dimensions:\"\n DO idim = 1, ndims_tensor(tensor)\n WRITE (unit_nr_prv, \"(I6)\", advance=\"no\") pdims(idim)\n END DO\n WRITE (unit_nr_prv, *)\n\n IF (PRESENT(full_info)) THEN\n IF (full_info) THEN\n WRITE (unit_nr_prv, '(T4,A)', advance='no') \"Block sizes:\"\n #:for dim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) >= ${dim}$) THEN\n WRITE (unit_nr_prv, '(/T8,A,1X,I1,A,1X)', advance='no') 'Dim', ${dim}$, ':'\n DO iblk = 1, SIZE(blk_size_${dim}$)\n WRITE (unit_nr_prv, '(I2,1X)', advance='no') blk_size_${dim}$ (iblk)\n END DO\n END IF\n #:endfor\n WRITE (unit_nr_prv, '(/T4,A)', advance='no') \"Block distribution:\"\n #:for dim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) >= ${dim}$) THEN\n WRITE (unit_nr_prv, '(/T8,A,1X,I1,A,1X)', advance='no') 'Dim', ${dim}$, ':'\n DO iblk = 1, SIZE(proc_dist_${dim}$)\n WRITE (unit_nr_prv, '(I3,1X)', advance='no') proc_dist_${dim}$ (iblk)\n END DO\n END IF\n #:endfor\n END IF\n WRITE (unit_nr_prv, *)\n END IF\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_write_tensor_dist(tensor, unit_nr)\n !! Write info on tensor distribution & load balance\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, INTENT(IN) :: unit_nr\n INTEGER :: nproc, myproc, nblock_max, nelement_max\n INTEGER(KIND=int_8) :: nblock_sum, nelement_sum, nblock_tot\n INTEGER :: nblock, nelement, unit_nr_prv\n TYPE(mp_comm_type) :: mp_comm\n INTEGER, DIMENSION(2) :: tmp\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: bdims\n REAL(KIND=real_8) :: occupation\n\n mp_comm = tensor%pgrid%mp_comm_2d\n unit_nr_prv = prep_output_unit(unit_nr)\n IF (unit_nr_prv == 0) RETURN\n\n CALL mp_environ(nproc, myproc, mp_comm)\n\n nblock = dbcsr_t_get_num_blocks(tensor)\n nelement = dbcsr_t_get_nze(tensor)\n\n nblock_sum = dbcsr_t_get_num_blocks_total(tensor)\n nelement_sum = dbcsr_t_get_nze_total(tensor)\n\n tmp = (/nblock, nelement/)\n CALL mp_max(tmp, mp_comm)\n nblock_max = tmp(1); nelement_max = tmp(2)\n\n CALL blk_dims_tensor(tensor, bdims)\n nblock_tot = PRODUCT(INT(bdims, KIND=int_8))\n\n occupation = -1.0_real_8\n IF (nblock_tot .NE. 0) occupation = 100.0_real_8*REAL(nblock_sum, real_8)/REAL(nblock_tot, real_8)\n\n IF (unit_nr_prv > 0) THEN\n WRITE (unit_nr_prv, \"(T2,A)\") &\n \"DISTRIBUTION OF \"//TRIM(tensor%name)\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Number of non-zero blocks:\", nblock_sum\n WRITE (unit_nr_prv, \"(T15,A,T75,F6.2)\") \"Percentage of non-zero blocks:\", occupation\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Average number of blocks per CPU:\", (nblock_sum + nproc - 1)/nproc\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Maximum number of blocks per CPU:\", nblock_max\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Average number of matrix elements per CPU:\", (nelement_sum + nproc - 1)/nproc\n WRITE (unit_nr_prv, \"(T15,A,T68,I13)\") \"Maximum number of matrix elements per CPU:\", nelement_max\n END IF\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_write_blocks(tensor, io_unit_master, io_unit_all, write_int)\n !! Write all tensor blocks\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, INTENT(IN) :: io_unit_master, io_unit_all\n !! for global output\n !! for local output\n LOGICAL, INTENT(IN), OPTIONAL :: write_int\n !! convert to integers (useful for testing with integer tensors)\n INTEGER :: blk\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: blk_index, blk_size\n #:for ndim in ndims\n REAL(KIND=real_8), ALLOCATABLE, &\n DIMENSION(${shape_colon(ndim)}$) :: blk_values_${ndim}$\n #:endfor\n TYPE(dbcsr_t_iterator_type) :: iterator\n INTEGER :: proc, mynode, numnodes\n LOGICAL :: found\n\n IF (io_unit_master > 0) THEN\n WRITE (io_unit_master, '(T7,A)') \"(block index) @ process: (array index) value\"\n END IF\n CALL dbcsr_t_iterator_start(iterator, tensor)\n DO WHILE (dbcsr_t_iterator_blocks_left(iterator))\n CALL dbcsr_t_iterator_next_block(iterator, blk_index, blk, blk_size=blk_size)\n CALL dbcsr_t_get_stored_coordinates(tensor, blk_index, proc)\n CALL mp_environ(numnodes, mynode, tensor%pgrid%mp_comm_2d)\n DBCSR_ASSERT(proc .EQ. mynode)\n #:for ndim in ndims\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n CALL dbcsr_t_get_block(tensor, blk_index, blk_values_${ndim}$, found)\n DBCSR_ASSERT(found)\n CALL dbcsr_t_write_block(tensor%name, blk_size, blk_index, proc, io_unit_all, &\n blk_values_${ndim}$=blk_values_${ndim}$, write_int=write_int)\n DEALLOCATE (blk_values_${ndim}$)\n END IF\n #:endfor\n END DO\n CALL dbcsr_t_iterator_stop(iterator)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_write_block(name, blk_size, blk_index, proc, unit_nr, &\n ${varlist(\"blk_values\",nmin=2)}$, write_int)\n !! Write a tensor block\n CHARACTER(LEN=*), INTENT(IN) :: name\n !! tensor name\n INTEGER, DIMENSION(:), INTENT(IN) :: blk_size\n !! block size\n INTEGER, DIMENSION(:), INTENT(IN) :: blk_index\n !! block index\n #:for ndim in ndims\n REAL(KIND=real_8), &\n DIMENSION(${arrlist(\"blk_size\", nmax=ndim)}$), &\n INTENT(IN), OPTIONAL :: blk_values_${ndim}$\n !! block values for 2 dimensions\n #:endfor\n LOGICAL, INTENT(IN), OPTIONAL :: write_int\n !! write_int convert values to integers\n LOGICAL :: write_int_prv\n INTEGER, INTENT(IN) :: unit_nr\n !! unit number\n INTEGER, INTENT(IN) :: proc\n !! which process am I\n INTEGER :: ${varlist(\"i\")}$\n INTEGER :: ndim\n\n IF (PRESENT(write_int)) THEN\n write_int_prv = write_int\n ELSE\n write_int_prv = .FALSE.\n END IF\n\n ndim = SIZE(blk_size)\n\n IF (unit_nr > 0) THEN\n #:for ndim in ndims\n IF (ndim == ${ndim}$) THEN\n #:for idim in range(ndim,0,-1)\n DO i_${idim}$ = 1, blk_size(${idim}$)\n #:endfor\n IF (write_int_prv) THEN\n WRITE (unit_nr, '(T7,A,T16,A,${ndim}$I3,1X,A,1X,I3,A,1X,A,${ndim}$I3,1X,A,1X,I20)') &\n TRIM(name), \"(\", blk_index, \") @\", proc, ':', &\n \"(\", ${varlist(\"i\", nmax=ndim)}$, \")\", &\n INT(blk_values_${ndim}$ (${varlist(\"i\", nmax=ndim)}$), KIND=int_8)\n ELSE\n WRITE (unit_nr, '(T7,A,T16,A,${ndim}$I3,1X,A,1X,I3,A,1X,A,${ndim}$I3,1X,A,1X,F10.5)') &\n TRIM(name), \"(\", blk_index, \") @\", proc, ':', &\n \"(\", ${varlist(\"i\", nmax=ndim)}$, \")\", &\n blk_values_${ndim}$ (${varlist(\"i\", nmax=ndim)}$)\n END IF\n #:for idim in range(ndim,0,-1)\n END DO\n #:endfor\n END IF\n #:endfor\n END IF\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_write_block_indices(tensor, io_unit_master, io_unit_all)\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER, INTENT(IN) :: io_unit_master, io_unit_all\n TYPE(dbcsr_t_iterator_type) :: iterator\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: blk_index, blk_size\n INTEGER :: blk, mynode, numnodes, proc\n\n IF (io_unit_master > 0) THEN\n WRITE (io_unit_master, '(T7,A)') \"(block index) @ process: size\"\n END IF\n\n CALL dbcsr_t_iterator_start(iterator, tensor)\n DO WHILE (dbcsr_t_iterator_blocks_left(iterator))\n CALL dbcsr_t_iterator_next_block(iterator, blk_index, blk, blk_size=blk_size)\n CALL dbcsr_t_get_stored_coordinates(tensor, blk_index, proc)\n CALL mp_environ(numnodes, mynode, tensor%pgrid%mp_comm_2d)\n DBCSR_ASSERT(proc .EQ. mynode)\n #:for ndim in ndims\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n WRITE (io_unit_all, '(T7,A,T16,A,${ndim}$I3,1X,A,1X,I3,A2,${ndim}$I3)') &\n TRIM(tensor%name), \"blk index (\", blk_index, \") @\", proc, \":\", blk_size\n END IF\n #:endfor\n END DO\n CALL dbcsr_t_iterator_stop(iterator)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_write_split_info(pgrid, unit_nr)\n TYPE(dbcsr_t_pgrid_type), INTENT(IN) :: pgrid\n INTEGER, INTENT(IN) :: unit_nr\n\n IF (ALLOCATED(pgrid%tas_split_info)) THEN\n CALL dbcsr_tas_write_split_info(pgrid%tas_split_info, unit_nr)\n END IF\n END SUBROUTINE\n\n FUNCTION prep_output_unit(unit_nr) RESULT(unit_nr_out)\n INTEGER, INTENT(IN), OPTIONAL :: unit_nr\n INTEGER :: unit_nr_out\n\n IF (PRESENT(unit_nr)) THEN\n unit_nr_out = unit_nr\n ELSE\n unit_nr_out = 0\n END IF\n\n END FUNCTION\n END MODULE\n" }, { "path": "src/tensors/dbcsr_tensor_reshape.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor_reshape\n !! Routines to reshape / redistribute tensors\n\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = maxrank\n #:set ndims = range(2,maxdim+1)\n\n USE dbcsr_allocate_wrap, ONLY: allocate_any\n USE dbcsr_tas_base, ONLY: dbcsr_tas_copy, dbcsr_tas_get_info, dbcsr_tas_info\n USE dbcsr_tensor_block, ONLY: &\n block_nd, create_block, destroy_block, dbcsr_t_iterator_type, dbcsr_t_iterator_next_block, &\n dbcsr_t_iterator_blocks_left, dbcsr_t_iterator_start, dbcsr_t_iterator_stop, dbcsr_t_get_block, &\n dbcsr_t_reserve_blocks, dbcsr_t_put_block\n USE dbcsr_tensor_types, ONLY: dbcsr_t_blk_sizes, &\n dbcsr_t_create, &\n dbcsr_t_get_data_type, &\n dbcsr_t_type, &\n ndims_tensor, &\n dbcsr_t_get_stored_coordinates, &\n dbcsr_t_clear\n USE dbcsr_kinds, ONLY: default_string_length\n USE dbcsr_kinds, ONLY: ${uselist(dtype_float_prec)}$\n USE dbcsr_api, ONLY: ${uselist(dtype_float_param)}$\n USE dbcsr_mpiwrap, ONLY: mp_alltoall, &\n mp_environ, &\n mp_irecv, &\n mp_isend, &\n mp_waitall, mp_comm_type, mp_request_type\n\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor_reshape'\n\n PUBLIC :: &\n dbcsr_t_reshape\n\n TYPE block_buffer_type\n INTEGER :: ndim = -1\n INTEGER :: nblock = -1\n INTEGER, DIMENSION(:, :), ALLOCATABLE :: indx\n #:for dparam, dtype, dsuffix in dtype_float_list\n ${dtype}$, DIMENSION(:), ALLOCATABLE :: msg_${dsuffix}$\n #:endfor\n INTEGER :: data_type = -1\n INTEGER :: endpos = -1\n END TYPE\n\n INTERFACE block_buffer_add_block\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE block_buffer_add_block_${dsuffix}$\n #:endfor\n END INTERFACE\n\nCONTAINS\n\n SUBROUTINE dbcsr_t_reshape(tensor_in, tensor_out, summation, move_data)\n !! copy data (involves reshape)\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in, tensor_out\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n !! tensor_out = tensor_out + tensor_in move_data memory optimization: transfer data from tensor_in to tensor_out s.t.\n !! tensor_in is empty on return\n LOGICAL, INTENT(IN), OPTIONAL :: move_data\n\n INTEGER :: blk, iproc, mynode, ndata, &\n numnodes, bcount, nblk\n INTEGER, ALLOCATABLE, DIMENSION(:) :: num_blocks_recv, num_blocks_send, &\n num_entries_recv, num_entries_send, &\n num_rec, num_send\n INTEGER, ALLOCATABLE, DIMENSION(:, :) :: index_recv, blks_to_allocate\n TYPE(dbcsr_t_iterator_type) :: iter\n TYPE(block_nd) :: blk_data\n TYPE(block_buffer_type), ALLOCATABLE, DIMENSION(:) :: buffer_recv, buffer_send\n INTEGER, DIMENSION(ndims_tensor(tensor_in)) :: blk_size, ind_nd, index\n LOGICAL :: found, summation_prv, move_prv\n TYPE(mp_comm_type) :: mp_comm\n TYPE(mp_request_type), ALLOCATABLE, DIMENSION(:, :) :: req_array\n\n IF (PRESENT(summation)) THEN\n summation_prv = summation\n ELSE\n summation_prv = .FALSE.\n END IF\n\n IF (PRESENT(move_data)) THEN\n move_prv = move_data\n ELSE\n move_prv = .FALSE.\n END IF\n\n DBCSR_ASSERT(tensor_out%valid)\n\n IF (.NOT. summation_prv) CALL dbcsr_t_clear(tensor_out)\n\n mp_comm = tensor_in%pgrid%mp_comm_2d\n CALL mp_environ(numnodes, mynode, mp_comm)\n ALLOCATE (buffer_send(0:numnodes - 1))\n ALLOCATE (buffer_recv(0:numnodes - 1))\n ALLOCATE (num_blocks_recv(0:numnodes - 1))\n ALLOCATE (num_blocks_send(0:numnodes - 1))\n ALLOCATE (num_entries_recv(0:numnodes - 1))\n ALLOCATE (num_entries_send(0:numnodes - 1))\n ALLOCATE (num_rec(0:2*numnodes - 1))\n ALLOCATE (num_send(0:2*numnodes - 1))\n num_send(:) = 0\n ALLOCATE (req_array(1:numnodes, 4))\n CALL dbcsr_t_iterator_start(iter, tensor_in)\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, ind_nd, blk, blk_size=blk_size)\n CALL dbcsr_t_get_stored_coordinates(tensor_out, ind_nd, iproc)\n num_send(2*iproc) = num_send(2*iproc) + PRODUCT(blk_size)\n num_send(2*iproc + 1) = num_send(2*iproc + 1) + 1\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n CALL mp_alltoall(num_send, num_rec, 2, mp_comm)\n DO iproc = 0, numnodes - 1\n num_entries_recv(iproc) = num_rec(2*iproc)\n num_blocks_recv(iproc) = num_rec(2*iproc + 1)\n num_entries_send(iproc) = num_send(2*iproc)\n num_blocks_send(iproc) = num_send(2*iproc + 1)\n\n CALL block_buffer_create(buffer_send(iproc), num_blocks_send(iproc), num_entries_send(iproc), &\n dbcsr_t_get_data_type(tensor_in), ndims_tensor(tensor_in))\n CALL block_buffer_create(buffer_recv(iproc), num_blocks_recv(iproc), num_entries_recv(iproc), &\n dbcsr_t_get_data_type(tensor_in), ndims_tensor(tensor_in))\n END DO\n CALL dbcsr_t_iterator_start(iter, tensor_in)\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, ind_nd, blk, blk_size=blk_size)\n CALL dbcsr_t_get_block(tensor_in, ind_nd, blk_data, found)\n DBCSR_ASSERT(found)\n CALL dbcsr_t_get_stored_coordinates(tensor_out, ind_nd, iproc)\n CALL block_buffer_add_anyd_block(buffer_send(iproc), ind_nd, blk_data)\n CALL destroy_block(blk_data)\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n\n IF (move_prv) CALL dbcsr_t_clear(tensor_in)\n\n CALL dbcsr_t_communicate_buffer(mp_comm, buffer_recv, buffer_send, req_array)\n DO iproc = 0, numnodes - 1\n CALL block_buffer_destroy(buffer_send(iproc))\n END DO\n\n nblk = SUM(num_blocks_recv)\n ALLOCATE (blks_to_allocate(nblk, ndims_tensor(tensor_in)))\n\n bcount = 0\n DO iproc = 0, numnodes - 1\n CALL block_buffer_get_index(buffer_recv(iproc), index_recv)\n blks_to_allocate(bcount + 1:bcount + SIZE(index_recv, 1), :) = index_recv(:, :)\n bcount = bcount + SIZE(index_recv, 1)\n DEALLOCATE (index_recv)\n END DO\n\n CALL dbcsr_t_reserve_blocks(tensor_out, blks_to_allocate)\n DEALLOCATE (blks_to_allocate)\n\n DO iproc = 0, numnodes - 1\n DO WHILE (block_buffer_blocks_left(buffer_recv(iproc)))\n CALL block_buffer_get_next_anyd_block(buffer_recv(iproc), ndata, index)\n CALL dbcsr_t_blk_sizes(tensor_in, index, blk_size)\n ! create block\n CALL create_block(blk_data, blk_size, dbcsr_t_get_data_type(tensor_in))\n ! get actual block data\n CALL block_buffer_get_next_anyd_block(buffer_recv(iproc), ndata, index, blk_data)\n CALL dbcsr_t_put_block(tensor_out, index, blk_data, summation=summation)\n CALL destroy_block(blk_data)\n END DO\n CALL block_buffer_destroy(buffer_recv(iproc))\n END DO\n END SUBROUTINE\n\n SUBROUTINE block_buffer_create(buffer, nblock, ndata, data_type, ndim)\n !! Create block buffer for MPI communication.\n\n TYPE(block_buffer_type), INTENT(OUT) :: buffer\n !! block buffer\n INTEGER, INTENT(IN) :: nblock, ndata, data_type, ndim\n !! number of blocks\n !! total number of block entries\n !! number of dimensions\n\n buffer%nblock = nblock\n buffer%data_type = data_type\n buffer%endpos = 0\n buffer%ndim = ndim\n SELECT CASE (data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n ALLOCATE (buffer%msg_${dsuffix}$ (ndata))\n #:endfor\n END SELECT\n ALLOCATE (buffer%indx(nblock, ndim + 1))\n END SUBROUTINE block_buffer_create\n\n SUBROUTINE block_buffer_destroy(buffer)\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n\n SELECT CASE (buffer%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n DEALLOCATE (buffer%msg_${dsuffix}$)\n #:endfor\n END SELECT\n DEALLOCATE (buffer%indx)\n buffer%nblock = -1\n buffer%data_type = -1\n buffer%ndim = -1\n buffer%endpos = -1\n END SUBROUTINE block_buffer_destroy\n\n PURE FUNCTION ndims_buffer(buffer)\n TYPE(block_buffer_type), INTENT(IN) :: buffer\n INTEGER :: ndims_buffer\n\n ndims_buffer = buffer%ndim\n END FUNCTION\n\n SUBROUTINE block_buffer_add_anyd_block(buffer, index, block)\n !! insert a block into block buffer (at current iterator position)\n\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n INTEGER, DIMENSION(ndims_buffer(buffer)), &\n INTENT(IN) :: index\n !! index of block\n TYPE(block_nd), INTENT(IN) :: block\n !! block\n\n SELECT CASE (block%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL block_buffer_add_block_${dsuffix}$ (buffer, SIZE(block%${dsuffix}$%blk), index, block%${dsuffix}$%blk)\n #:endfor\n END SELECT\n END SUBROUTINE\n\n SUBROUTINE block_buffer_get_next_anyd_block(buffer, ndata, index, block, advance_iter)\n !! get next block from buffer. Iterator is advanced only if block is retrieved or advance_iter.\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n INTEGER, INTENT(OUT) :: ndata\n INTEGER, DIMENSION(ndims_buffer(buffer)), &\n INTENT(OUT) :: index\n TYPE(block_nd), INTENT(INOUT), OPTIONAL :: block\n LOGICAL, INTENT(IN), OPTIONAL :: advance_iter\n\n SELECT CASE (buffer%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n IF (PRESENT(block)) THEN\n CALL block_buffer_get_next_block_${dsuffix}$ (buffer, ndata, index, block%${dsuffix}$%blk, advance_iter=advance_iter)\n ELSE\n CALL block_buffer_get_next_block_${dsuffix}$ (buffer, ndata, index, advance_iter=advance_iter)\n END IF\n #:endfor\n END SELECT\n END SUBROUTINE\n\n SUBROUTINE block_buffer_get_index(buffer, index)\n !! Get all indices from buffer\n TYPE(block_buffer_type), INTENT(IN) :: buffer\n INTEGER, INTENT(OUT), DIMENSION(:, :), ALLOCATABLE :: index\n INTEGER, DIMENSION(2) :: indx_shape\n\n indx_shape = SHAPE(buffer%indx) - [0, 1]\n CALL allocate_any(index, source=buffer%indx(1:indx_shape(1), 1:indx_shape(2)))\n END SUBROUTINE\n\n PURE FUNCTION block_buffer_blocks_left(buffer)\n !! how many blocks left in iterator\n TYPE(block_buffer_type), INTENT(IN) :: buffer\n LOGICAL :: block_buffer_blocks_left\n\n block_buffer_blocks_left = buffer%endpos .LT. buffer%nblock\n END FUNCTION\n\n SUBROUTINE dbcsr_t_communicate_buffer(mp_comm, buffer_recv, buffer_send, req_array)\n !! communicate buffer\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n TYPE(block_buffer_type), DIMENSION(0:), INTENT(INOUT) :: buffer_recv, buffer_send\n TYPE(mp_request_type), DIMENSION(:, :), INTENT(OUT) :: req_array\n\n INTEGER :: iproc, mynode, numnodes, rec_counter, &\n send_counter\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_communicate_buffer'\n\n CALL timeset(routineN, handle)\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n IF (numnodes > 1) THEN\n\n send_counter = 0\n rec_counter = 0\n\n DO iproc = 0, numnodes - 1\n IF (buffer_recv(iproc)%nblock > 0) THEN\n rec_counter = rec_counter + 1\n CALL mp_irecv(buffer_recv(iproc)%indx, iproc, mp_comm, req_array(rec_counter, 3), tag=4)\n SELECT CASE (buffer_recv(iproc)%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL mp_irecv(buffer_recv(iproc)%msg_${dsuffix}$, iproc, mp_comm, req_array(rec_counter, 4), tag=7)\n #:endfor\n END SELECT\n END IF\n END DO\n\n DO iproc = 0, numnodes - 1\n IF (buffer_send(iproc)%nblock > 0) THEN\n send_counter = send_counter + 1\n CALL mp_isend(buffer_send(iproc)%indx, iproc, mp_comm, req_array(send_counter, 1), tag=4)\n SELECT CASE (buffer_recv(iproc)%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n CALL mp_isend(buffer_send(iproc)%msg_${dsuffix}$, iproc, mp_comm, req_array(send_counter, 2), tag=7)\n #:endfor\n END SELECT\n END IF\n END DO\n\n IF (send_counter > 0) THEN\n CALL mp_waitall(req_array(1:send_counter, 1:2))\n END IF\n IF (rec_counter > 0) THEN\n CALL mp_waitall(req_array(1:rec_counter, 3:4))\n END IF\n\n ELSE\n IF (buffer_recv(0)%nblock > 0) THEN\n buffer_recv(0)%indx(:, :) = buffer_send(0)%indx(:, :)\n SELECT CASE (buffer_recv(0)%data_type)\n #:for dparam, dtype, dsuffix in dtype_float_list\n CASE (${dparam}$)\n buffer_recv(0)%msg_${dsuffix}$ (:) = buffer_send(0)%msg_${dsuffix}$ (:)\n #:endfor\n END SELECT\n END IF\n END IF\n CALL timestop(handle)\n\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE block_buffer_add_block_${dsuffix}$ (buffer, ndata, index, block)\n !! add block to buffer.\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n INTEGER, INTENT(IN) :: ndata\n ${dtype}$, DIMENSION(ndata), INTENT(IN) :: block\n INTEGER, DIMENSION(ndims_buffer(buffer)), INTENT(IN) :: index\n INTEGER :: p, ndims, p_data\n DBCSR_ASSERT(buffer%data_type .EQ. ${dparam}$)\n ndims = ndims_buffer(buffer)\n p = buffer%endpos\n IF (p .EQ. 0) THEN\n p_data = 0\n ELSE\n p_data = buffer%indx(p, ndims + 1)\n END IF\n\n buffer%msg_${dsuffix}$ (p_data + 1:p_data + ndata) = block(:)\n buffer%indx(p + 1, 1:ndims) = index(:)\n IF (p > 0) THEN\n buffer%indx(p + 1, ndims + 1) = buffer%indx(p, ndims + 1) + ndata\n ELSE\n buffer%indx(p + 1, ndims + 1) = ndata\n END IF\n buffer%endpos = buffer%endpos + 1\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE block_buffer_get_next_block_${dsuffix}$ (buffer, ndata, index, block, advance_iter)\n !! get next block from buffer. Iterator is advanced only if block is retrieved or advance_iter.\n\n TYPE(block_buffer_type), INTENT(INOUT) :: buffer\n INTEGER, INTENT(OUT) :: ndata\n ${dtype}$, DIMENSION(:), ALLOCATABLE, OPTIONAL, INTENT(OUT) :: block\n INTEGER, DIMENSION(ndims_buffer(buffer)), INTENT(OUT) :: index\n INTEGER :: p, ndims, p_data\n LOGICAL, INTENT(IN), OPTIONAL :: advance_iter\n LOGICAL :: do_advance\n\n do_advance = .FALSE.\n IF (PRESENT(advance_iter)) THEN\n do_advance = advance_iter\n ELSE IF (PRESENT(block)) THEN\n do_advance = .TRUE.\n END IF\n\n DBCSR_ASSERT(buffer%data_type .EQ. ${dparam}$)\n ndims = ndims_buffer(buffer)\n p = buffer%endpos\n IF (p .EQ. 0) THEN\n p_data = 0\n ELSE\n p_data = buffer%indx(p, ndims + 1)\n END IF\n IF (p > 0) THEN\n ndata = buffer%indx(p + 1, ndims + 1) - buffer%indx(p, ndims + 1)\n ELSE\n ndata = buffer%indx(p + 1, ndims + 1)\n END IF\n index(:) = buffer%indx(p + 1, 1:ndims)\n IF (PRESENT(block)) THEN\n CALL allocate_any(block, source=buffer%msg_${dsuffix}$ (p_data + 1:p_data + ndata))\n END IF\n\n IF (do_advance) buffer%endpos = buffer%endpos + 1\n END SUBROUTINE\n #:endfor\n\nEND MODULE dbcsr_tensor_reshape\n" }, { "path": "src/tensors/dbcsr_tensor_split.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor_split\n\n !! Routines to split blocks and to convert between tensors with different block sizes.\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = maxrank\n #:set ndims = range(2,maxdim+1)\n\n USE dbcsr_allocate_wrap, ONLY: allocate_any\n USE dbcsr_array_list_methods, ONLY: get_ith_array\n USE dbcsr_tensor_block, ONLY: dbcsr_t_iterator_type, &\n dbcsr_t_get_block, &\n dbcsr_t_put_block, &\n dbcsr_t_iterator_start, &\n dbcsr_t_iterator_blocks_left, &\n dbcsr_t_iterator_stop, &\n dbcsr_t_iterator_next_block, &\n dbcsr_t_reserve_blocks, &\n dbcsr_t_reserved_block_indices\n USE dbcsr_tensor_index, ONLY: dbcsr_t_get_mapping_info, &\n dbcsr_t_inverse_order\n USE dbcsr_tensor_types, ONLY: dbcsr_t_create, &\n dbcsr_t_get_data_type, &\n dbcsr_t_type, &\n ndims_tensor, &\n dbcsr_t_distribution_type, &\n dbcsr_t_distribution, &\n dbcsr_t_distribution_destroy, &\n dbcsr_t_distribution_new_expert, &\n dbcsr_t_clear, &\n dbcsr_t_finalize, &\n dbcsr_t_get_num_blocks, &\n dbcsr_t_blk_offsets, &\n dbcsr_t_blk_sizes, &\n ndims_matrix_row, &\n ndims_matrix_column, &\n dbcsr_t_filter, &\n dbcsr_t_copy_contraction_storage\n USE dbcsr_api, ONLY: ${uselist(dtype_float_param)}$\n USE dbcsr_kinds, ONLY: ${uselist(dtype_float_prec)}$, dp\n\n#include \"base/dbcsr_base_uses.f90\"\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor_split'\n PUBLIC :: &\n dbcsr_t_make_compatible_blocks, &\n dbcsr_t_split_blocks, &\n dbcsr_t_split_blocks_generic, &\n dbcsr_t_split_copyback, &\n dbcsr_t_crop\n\nCONTAINS\n\n SUBROUTINE dbcsr_t_split_blocks_generic(tensor_in, tensor_out, ${varlist(\"blk_size\")}$, nodata)\n !! Split tensor blocks into smaller blocks\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n !! Input tensor\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor_out\n !! Output tensor (splitted blocks)\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"blk_size\")}$\n !! block sizes for each of the tensor dimensions\n LOGICAL, INTENT(IN), OPTIONAL :: nodata\n !! don't copy data from tensor_in to tensor_out\n\n TYPE(dbcsr_t_distribution_type) :: dist_old, dist_split\n TYPE(dbcsr_t_iterator_type) :: iter\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"nd_dist_split\")}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"nd_blk_size_split\")}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"index_split_offset\")}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"inblock_offset\")}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"blk_nsplit\")}$\n INTEGER :: ${varlist(\"split_blk\")}$\n INTEGER :: idim, i, isplit_sum, blk, nsplit, handle, splitsum, bcount\n INTEGER, DIMENSION(:, :), ALLOCATABLE :: blks_to_allocate\n INTEGER, DIMENSION(:), ALLOCATABLE :: dist_d, blk_size_d, blk_size_split_d, dist_split_d\n INTEGER, DIMENSION(ndims_matrix_row(tensor_in)) :: map1_2d\n INTEGER, DIMENSION(ndims_matrix_column(tensor_in)) :: map2_2d\n INTEGER, DIMENSION(ndims_tensor(tensor_in)) :: blk_index, blk_size, blk_offset, &\n blk_shape\n INTEGER, DIMENSION(${maxdim}$) :: bi_split, inblock_offset\n LOGICAL :: found\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n #:for ndim in ndims\n ${dtype}$, DIMENSION(${shape_colon(n=ndim)}$), ALLOCATABLE :: block_${dsuffix}$_${ndim}$d\n #:endfor\n #:endfor\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_split_blocks_generic'\n\n CALL timeset(routineN, handle)\n\n dist_old = dbcsr_t_distribution(tensor_in)\n\n DO idim = 1, ndims_tensor(tensor_in)\n CALL get_ith_array(dist_old%nd_dist, idim, dist_d)\n CALL get_ith_array(tensor_in%blk_sizes, idim, blk_size_d)\n\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) THEN\n ! split block index offset for each normal block index\n ALLOCATE (index_split_offset_${idim}$ (SIZE(dist_d)))\n ! how many split blocks for each normal block index\n ALLOCATE (blk_nsplit_${idim}$ (SIZE(dist_d)))\n ! data offset of split blocks w.r.t. corresponding normal block\n ALLOCATE (inblock_offset_${idim}$ (SIZE(blk_size_${idim}$)))\n CALL allocate_any(blk_size_split_d, source=blk_size_${idim}$)\n END IF\n #:endfor\n\n ! distribution vector for split blocks\n ALLOCATE (dist_split_d(SIZE(blk_size_split_d)))\n\n isplit_sum = 0 ! counting splits\n DO i = 1, SIZE(blk_size_d)\n nsplit = 0 ! number of splits for current normal block\n splitsum = 0 ! summing split block sizes for current normal block\n DO WHILE (splitsum < blk_size_d(i))\n nsplit = nsplit + 1\n isplit_sum = isplit_sum + 1\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) inblock_offset_${idim}$ (isplit_sum) = splitsum\n #:endfor\n dist_split_d(isplit_sum) = dist_d(i)\n splitsum = splitsum + blk_size_split_d(isplit_sum)\n END DO\n DBCSR_ASSERT(splitsum == blk_size_d(i))\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) THEN\n blk_nsplit_${idim}$ (i) = nsplit\n index_split_offset_${idim}$ (i) = isplit_sum - nsplit\n END IF\n #:endfor\n END DO\n\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) THEN\n CALL allocate_any(nd_dist_split_${idim}$, source=dist_split_d)\n CALL allocate_any(nd_blk_size_split_${idim}$, source=blk_size_split_d)\n END IF\n #:endfor\n DEALLOCATE (dist_split_d)\n DEALLOCATE (blk_size_split_d)\n\n END DO\n\n CALL dbcsr_t_get_mapping_info(tensor_in%nd_index_blk, map1_2d=map1_2d, map2_2d=map2_2d)\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n CALL dbcsr_t_distribution_new_expert(dist_split, tensor_in%pgrid, map1_2d, map2_2d, &\n ${varlist(\"nd_dist_split\", nmax=ndim)}$)\n CALL dbcsr_t_create(tensor_out, tensor_in%name, dist_split, map1_2d, map2_2d, &\n dbcsr_t_get_data_type(tensor_in), ${varlist(\"nd_blk_size_split\", nmax=ndim)}$)\n END IF\n #:endfor\n\n CALL dbcsr_t_distribution_destroy(dist_split)\n\n IF (PRESENT(nodata)) THEN\n IF (nodata) THEN\n CALL timestop(handle)\n RETURN\n END IF\n END IF\n\n CALL dbcsr_t_iterator_start(iter, tensor_in)\n\n bcount = 0\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, blk_index, blk, blk_size=blk_size)\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n #:for idim in range(1,ndim+1)\n DO split_blk_${idim}$ = 1, blk_nsplit_${idim}$ (blk_index(${idim}$))\n #:endfor\n bcount = bcount + 1\n #:for idim in range(1,ndim+1)\n END DO\n #:endfor\n END IF\n #:endfor\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n\n ALLOCATE (blks_to_allocate(bcount, ndims_tensor(tensor_in)))\n\n CALL dbcsr_t_iterator_start(iter, tensor_in)\n\n bcount = 0\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, blk_index, blk, blk_size=blk_size, blk_offset=blk_offset)\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n #:for idim in range(1,ndim+1)\n DO split_blk_${idim}$ = 1, blk_nsplit_${idim}$ (blk_index(${idim}$))\n bi_split(${idim}$) = index_split_offset_${idim}$ (blk_index(${idim}$)) + split_blk_${idim}$\n #:endfor\n bcount = bcount + 1\n blks_to_allocate(bcount, :) = bi_split(1:ndims_tensor(tensor_in))\n #:for idim in range(1,ndim+1)\n END DO\n #:endfor\n END IF\n #:endfor\n END DO\n\n CALL dbcsr_t_iterator_stop(iter)\n\n CALL dbcsr_t_reserve_blocks(tensor_out, blks_to_allocate)\n\n CALL dbcsr_t_iterator_start(iter, tensor_in)\n\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, blk_index, blk, blk_size=blk_size, blk_offset=blk_offset)\n #:for dparam, dtype, dsuffix in dtype_float_list\n IF (dbcsr_t_get_data_type(tensor_in) == ${dparam}$) THEN\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n CALL dbcsr_t_get_block(tensor_in, blk_index, block_${dsuffix}$_${ndim}$d, found)\n DBCSR_ASSERT(found)\n END IF\n #:endfor\n END IF\n #:endfor\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n #:for idim in range(1,ndim+1)\n DO split_blk_${idim}$ = 1, blk_nsplit_${idim}$ (blk_index(${idim}$))\n ! split block index\n bi_split(${idim}$) = index_split_offset_${idim}$ (blk_index(${idim}$)) + split_blk_${idim}$\n blk_shape(${idim}$) = blk_size_${idim}$ (bi_split(${idim}$))\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n\n IF (dbcsr_t_get_data_type(tensor_in) == ${dparam}$) THEN\n\n #:for idim in range(1,ndim+1)\n inblock_offset(${idim}$) = inblock_offset_${idim}$ (bi_split(${idim}$))\n #:endfor\n CALL dbcsr_t_put_block(tensor_out, bi_split(1:${ndim}$), &\n blk_shape, &\n block_${dsuffix}$_${ndim}$d( &\n ${\", \".join([\"inblock_offset(\"+str(idim)+\") + 1:inblock_offset(\"+str(idim)+\") + blk_shape(\"+str(idim)+\")\" for idim in range(1, ndim+1)])}$))\n\n END IF\n #:endfor\n\n #:for idim in range(1,ndim+1)\n END DO\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n IF (dbcsr_t_get_data_type(tensor_in) == ${dparam}$) THEN\n DEALLOCATE (block_${dsuffix}$_${ndim}$d)\n END IF\n #:endfor\n END IF\n #:endfor\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n\n CALL dbcsr_t_finalize(tensor_out)\n\n ! remove blocks that are exactly 0, these can occur if a cropping operation was performed before splitting\n CALL dbcsr_t_filter(tensor_out, TINY(0.0_dp))\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_split_blocks(tensor_in, tensor_out, block_sizes, nodata)\n !! Split tensor blocks into smaller blocks of maximum size PRODUCT(block_sizes).\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n !! Input tensor\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor_out\n !! Output tensor (split blocks)\n INTEGER, DIMENSION(ndims_tensor(tensor_in)), &\n INTENT(IN) :: block_sizes\n !! block sizes for each of the tensor dimensions\n LOGICAL, INTENT(IN), OPTIONAL :: nodata\n !! don't copy data from tensor_in to tensor_out\n\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"nd_blk_size_split\")}$\n INTEGER :: idim, i, isplit_sum, blk_remainder, nsplit, isplit\n INTEGER, DIMENSION(:), ALLOCATABLE :: blk_size_d, blk_size_split_d\n\n DO idim = 1, ndims_tensor(tensor_in)\n CALL get_ith_array(tensor_in%blk_sizes, idim, blk_size_d)\n\n isplit_sum = 0\n DO i = 1, SIZE(blk_size_d)\n nsplit = (blk_size_d(i) + block_sizes(idim) - 1)/block_sizes(idim)\n isplit_sum = isplit_sum + nsplit\n END DO\n\n ALLOCATE (blk_size_split_d(isplit_sum))\n\n isplit_sum = 0\n DO i = 1, SIZE(blk_size_d)\n nsplit = (blk_size_d(i) + block_sizes(idim) - 1)/block_sizes(idim)\n blk_remainder = blk_size_d(i)\n DO isplit = 1, nsplit\n isplit_sum = isplit_sum + 1\n blk_size_split_d(isplit_sum) = MIN(block_sizes(idim), blk_remainder)\n blk_remainder = blk_remainder - block_sizes(idim)\n END DO\n\n END DO\n\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) THEN\n CALL allocate_any(nd_blk_size_split_${idim}$, source=blk_size_split_d)\n END IF\n #:endfor\n DEALLOCATE (blk_size_split_d)\n END DO\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) CALL dbcsr_t_split_blocks_generic(tensor_in, tensor_out, &\n ${varlist(\"nd_blk_size_split\", nmax=ndim)}$, &\n nodata=nodata)\n #:endfor\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_split_copyback(tensor_split_in, tensor_out, summation)\n !! Copy tensor with split blocks to tensor with original block sizes.\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_split_in\n !! tensor with smaller blocks\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_out\n !! original tensor\n LOGICAL, INTENT(IN), OPTIONAL :: summation\n INTEGER, DIMENSION(:), ALLOCATABLE :: first_split_d, last_split_d\n INTEGER, DIMENSION(:), ALLOCATABLE :: blk_size_split_d, blk_size_d\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"last_split\")}$, &\n ${varlist(\"first_split\")}$, &\n ${varlist(\"split\")}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"inblock_offset\")}$, ${varlist(\"blk_size_split\")}$\n INTEGER, DIMENSION(:, :), ALLOCATABLE :: blks_to_allocate\n INTEGER :: idim, iblk, blk, bcount\n INTEGER :: ${varlist(\"iblk\")}$, isplit_sum, splitsum, nblk\n TYPE(dbcsr_t_iterator_type) :: iter\n INTEGER, DIMENSION(ndims_tensor(tensor_out)) :: blk_index, blk_size, blk_offset, blk_shape, blk_index_n\n LOGICAL :: found\n\n INTEGER, DIMENSION(${maxdim}$) :: inblock_offset\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_split_copyback'\n #:for dparam, dtype, dsuffix in dtype_float_list\n #:for ndim in ndims\n ${dtype}$, DIMENSION(${shape_colon(n=ndim)}$), ALLOCATABLE :: block_${dsuffix}$_${ndim}$d\n ${dtype}$, DIMENSION(${shape_colon(n=ndim)}$), ALLOCATABLE :: block_split_${dsuffix}$_${ndim}$d\n #:endfor\n #:endfor\n\n CALL timeset(routineN, handle)\n DBCSR_ASSERT(tensor_out%valid)\n IF (PRESENT(summation)) THEN\n IF (.NOT. summation) CALL dbcsr_t_clear(tensor_out)\n ELSE\n CALL dbcsr_t_clear(tensor_out)\n END IF\n\n DO idim = 1, ndims_tensor(tensor_split_in)\n CALL get_ith_array(tensor_split_in%blk_sizes, idim, blk_size_split_d)\n CALL get_ith_array(tensor_out%blk_sizes, idim, blk_size_d)\n\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) THEN\n ! data offset of split blocks w.r.t. corresponding normal block\n ALLOCATE (inblock_offset_${idim}$ (SIZE(blk_size_split_d)))\n ! normal block index for each split block\n ALLOCATE (split_${idim}$ (SIZE(blk_size_split_d)))\n END IF\n #:endfor\n\n ALLOCATE (last_split_d(SIZE(blk_size_d)))\n ALLOCATE (first_split_d(SIZE(blk_size_d)))\n first_split_d(1) = 1\n isplit_sum = 0\n DO iblk = 1, SIZE(blk_size_d)\n splitsum = 0\n IF (iblk .GT. 1) first_split_d(iblk) = last_split_d(iblk - 1) + 1\n DO WHILE (splitsum < blk_size_d(iblk))\n isplit_sum = isplit_sum + 1\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) THEN\n inblock_offset_${idim}$ (isplit_sum) = splitsum\n split_${idim}$ (isplit_sum) = iblk\n END IF\n #:endfor\n splitsum = splitsum + blk_size_split_d(isplit_sum)\n END DO\n DBCSR_ASSERT(splitsum == blk_size_d(iblk))\n last_split_d(iblk) = isplit_sum\n END DO\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) THEN\n CALL allocate_any(first_split_${idim}$, source=first_split_d)\n CALL allocate_any(last_split_${idim}$, source=last_split_d)\n CALL allocate_any(blk_size_split_${idim}$, source=blk_size_split_d)\n END IF\n #:endfor\n DEALLOCATE (first_split_d, last_split_d)\n DEALLOCATE (blk_size_split_d, blk_size_d)\n END DO\n\n nblk = dbcsr_t_get_num_blocks(tensor_split_in)\n ALLOCATE (blks_to_allocate(nblk, ndims_tensor(tensor_split_in)))\n CALL dbcsr_t_iterator_start(iter, tensor_split_in)\n bcount = 0\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, blk_index, blk, blk_size=blk_size)\n #:for ndim in ndims\n IF (ndims_tensor(tensor_out) == ${ndim}$) THEN\n #:for idim in range(1,ndim+1)\n blk_index_n(${idim}$) = split_${idim}$ (blk_index(${idim}$))\n #:endfor\n END IF\n #:endfor\n blks_to_allocate(bcount + 1, :) = blk_index_n\n bcount = bcount + 1\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n CALL dbcsr_t_reserve_blocks(tensor_out, blks_to_allocate)\n\n CALL dbcsr_t_iterator_start(iter, tensor_out)\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, blk_index, blk, blk_size=blk_size, blk_offset=blk_offset)\n #:for dprec, dparam, dtype, dsuffix in dtype_float_list_prec\n IF (dbcsr_t_get_data_type(tensor_out) == ${dparam}$) THEN\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor_out) == ${ndim}$) THEN\n CALL allocate_any(block_${dsuffix}$_${ndim}$d, blk_size)\n block_${dsuffix}$_${ndim}$d = 0.0_${dprec}$\n #:for idim in range(1,ndim+1)\n DO iblk_${idim}$ = first_split_${idim}$ (blk_index(${idim}$)), last_split_${idim}$ (blk_index(${idim}$))\n #:endfor\n #:for idim in range(1,ndim+1)\n inblock_offset(${idim}$) = inblock_offset_${idim}$ (iblk_${idim}$)\n #:endfor\n\n CALL dbcsr_t_get_block(tensor_split_in, [${\", \".join([\"iblk_\"+str(idim) for idim in range(1, ndim+1)])}$], &\n block_split_${dsuffix}$_${ndim}$d, found)\n IF (found) THEN\n blk_shape(1:${ndim}$) = SHAPE(block_split_${dsuffix}$_${ndim}$d)\n block_${dsuffix}$_${ndim}$d( &\n ${\", \".join([\"inblock_offset(\"+str(idim)+\") + 1:inblock_offset(\"+str(idim)+\") + blk_shape(\"+str(idim)+\")\" for idim in range(1, ndim+1)])}$) = &\n block_split_${dsuffix}$_${ndim}$d\n END IF\n\n #:for idim in range(1,ndim+1)\n END DO\n #:endfor\n CALL dbcsr_t_put_block(tensor_out, blk_index, blk_size, block_${dsuffix}$_${ndim}$d, summation=summation)\n DEALLOCATE (block_${dsuffix}$_${ndim}$d)\n END IF\n #:endfor\n END IF\n #:endfor\n END DO\n CALL dbcsr_t_iterator_stop(iter)\n\n CALL timestop(handle)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_make_compatible_blocks(tensor1, tensor2, tensor1_split, tensor2_split, order, nodata1, nodata2, move_data)\n !! split two tensors with same total sizes but different block sizes such that they have equal\n !! block sizes\n !! \\move_data memory optimization: transfer data s.t. tensor1 and tensor2 may be empty on return\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor1, tensor2\n !! tensor 1 in\n !! tensor 2 in\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor1_split, tensor2_split\n !! tensor 1 with split blocks\n !! tensor 2 with split blocks\n INTEGER, DIMENSION(ndims_tensor(tensor1)), &\n INTENT(IN), OPTIONAL :: order\n\n LOGICAL, INTENT(IN), OPTIONAL :: nodata1, nodata2, move_data\n !! don't copy data of tensor 1\n !! don't copy data of tensor 2\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"blk_size_split_1\")}$, ${varlist(\"blk_size_split_2\")}$, &\n blk_size_d_1, blk_size_d_2, blk_size_d_split\n INTEGER :: size_sum_1, size_sum_2, size_sum, bind_1, bind_2, isplit, bs, idim, i\n LOGICAL :: move_prv, nodata1_prv, nodata2_prv\n INTEGER, DIMENSION(ndims_tensor(tensor1)) :: order_prv\n\n IF (PRESENT(move_data)) THEN\n move_prv = move_data\n ELSE\n move_prv = .FALSE.\n END IF\n\n IF (PRESENT(nodata1)) THEN\n nodata1_prv = nodata1\n ELSE\n nodata1_prv = .FALSE.\n END IF\n IF (PRESENT(nodata2)) THEN\n nodata2_prv = nodata2\n ELSE\n nodata2_prv = .FALSE.\n END IF\n\n IF (PRESENT(order)) THEN\n order_prv(:) = dbcsr_t_inverse_order(order)\n ELSE\n order_prv(:) = (/(i, i=1, ndims_tensor(tensor1))/)\n END IF\n\n DO idim = 1, ndims_tensor(tensor2)\n CALL get_ith_array(tensor1%blk_sizes, order_prv(idim), blk_size_d_1)\n CALL get_ith_array(tensor2%blk_sizes, idim, blk_size_d_2)\n ALLOCATE (blk_size_d_split(SIZE(blk_size_d_1) + SIZE(blk_size_d_2)))\n size_sum_1 = 0\n size_sum_2 = 0\n size_sum = 0\n bind_1 = 0\n bind_2 = 0\n isplit = 0\n\n DO WHILE (bind_1 < SIZE(blk_size_d_1) .AND. bind_2 < SIZE(blk_size_d_2))\n IF (blk_size_d_1(bind_1 + 1) < blk_size_d_2(bind_2 + 1)) THEN\n bind_1 = bind_1 + 1\n bs = blk_size_d_1(bind_1)\n blk_size_d_2(bind_2 + 1) = blk_size_d_2(bind_2 + 1) - bs\n size_sum = size_sum + bs\n isplit = isplit + 1\n blk_size_d_split(isplit) = bs\n ELSEIF (blk_size_d_1(bind_1 + 1) > blk_size_d_2(bind_2 + 1)) THEN\n bind_2 = bind_2 + 1\n bs = blk_size_d_2(bind_2)\n blk_size_d_1(bind_1 + 1) = blk_size_d_1(bind_1 + 1) - bs\n size_sum = size_sum + bs\n isplit = isplit + 1\n blk_size_d_split(isplit) = bs\n ELSE\n bind_1 = bind_1 + 1\n bind_2 = bind_2 + 1\n bs = blk_size_d_1(bind_1)\n size_sum = size_sum + bs\n isplit = isplit + 1\n blk_size_d_split(isplit) = bs\n END IF\n END DO\n\n IF (bind_1 < SIZE(blk_size_d_1)) THEN\n bind_1 = bind_1 + 1\n bs = blk_size_d_1(bind_1)\n size_sum = size_sum + bs\n isplit = isplit + 1\n blk_size_d_split(isplit) = bs\n END IF\n\n IF (bind_2 < SIZE(blk_size_d_2)) THEN\n bind_2 = bind_2 + 1\n bs = blk_size_d_2(bind_2)\n size_sum = size_sum + bs\n isplit = isplit + 1\n blk_size_d_split(isplit) = bs\n END IF\n\n #:for idim in range(1, maxdim+1)\n IF (order_prv(idim) == ${idim}$) THEN\n CALL allocate_any(blk_size_split_1_${idim}$, source=blk_size_d_split(:isplit))\n END IF\n #:endfor\n\n #:for idim in range(1, maxdim+1)\n IF (idim == ${idim}$) THEN\n CALL allocate_any(blk_size_split_2_${idim}$, source=blk_size_d_split(:isplit))\n END IF\n #:endfor\n\n DEALLOCATE (blk_size_d_split, blk_size_d_1, blk_size_d_2)\n END DO\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor1) == ${ndim}$) THEN\n CALL dbcsr_t_split_blocks_generic(tensor1, tensor1_split, ${varlist(\"blk_size_split_1\", nmax=ndim)}$, nodata=nodata1)\n IF (move_prv .AND. .NOT. nodata1_prv) CALL dbcsr_t_clear(tensor1)\n CALL dbcsr_t_split_blocks_generic(tensor2, tensor2_split, ${varlist(\"blk_size_split_2\", nmax=ndim)}$, nodata=nodata2)\n IF (move_prv .AND. .NOT. nodata2_prv) CALL dbcsr_t_clear(tensor2)\n END IF\n #:endfor\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_crop(tensor_in, tensor_out, bounds, move_data)\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor_out\n INTEGER, DIMENSION(2, ndims_tensor(tensor_in)), INTENT(IN) :: bounds\n LOGICAL, INTENT(IN), OPTIONAL :: move_data\n INTEGER, DIMENSION(2, ndims_tensor(tensor_in)) :: blk_bounds\n TYPE(dbcsr_t_iterator_type) :: iter\n INTEGER, DIMENSION(ndims_tensor(tensor_in)) :: blk_index, blk_size, blk_offset\n LOGICAL :: found, move_data_prv\n INTEGER :: idim, blk, iblk, iblk_all, nblk\n INTEGER, DIMENSION(:, :), ALLOCATABLE :: blk_ind, blk_ind_tmp\n #:for dparam, dtype, dsuffix in dtype_float_list\n #:for ndim in ndims\n ${dtype}$, DIMENSION(${shape_colon(n=ndim)}$), ALLOCATABLE :: block_${dsuffix}$_${ndim}$d, block_put_${dsuffix}$_${ndim}$d\n #:endfor\n #:endfor\n\n IF (PRESENT(move_data)) THEN\n move_data_prv = move_data\n ELSE\n move_data_prv = .FALSE.\n END IF\n\n CALL dbcsr_t_create(tensor_in, tensor_out)\n\n ! reserve blocks inside bounds\n ALLOCATE (blk_ind(dbcsr_t_get_num_blocks(tensor_in), ndims_tensor(tensor_in)))\n CALL dbcsr_t_reserved_block_indices(tensor_in, blk_ind)\n nblk = dbcsr_t_get_num_blocks(tensor_in)\n ALLOCATE (blk_ind_tmp(dbcsr_t_get_num_blocks(tensor_in), ndims_tensor(tensor_in)))\n blk_ind_tmp(:, :) = 0\n iblk = 0\n blk_loop: DO iblk_all = 1, nblk\n CALL dbcsr_t_blk_offsets(tensor_in, blk_ind(iblk_all, :), blk_offset)\n CALL dbcsr_t_blk_sizes(tensor_in, blk_ind(iblk_all, :), blk_size)\n DO idim = 1, ndims_tensor(tensor_in)\n IF (bounds(1, idim) > blk_offset(idim) - 1 + blk_size(idim)) CYCLE blk_loop\n IF (bounds(2, idim) < blk_offset(idim)) CYCLE blk_loop\n END DO\n iblk = iblk + 1\n blk_ind_tmp(iblk, :) = blk_ind(iblk_all, :)\n END DO blk_loop\n\n DEALLOCATE (blk_ind)\n ALLOCATE (blk_ind(iblk, ndims_tensor(tensor_in)))\n blk_ind(:, :) = blk_ind_tmp(:iblk, :)\n\n CALL dbcsr_t_reserve_blocks(tensor_out, blk_ind)\n\n ! copy blocks\n CALL dbcsr_t_iterator_start(iter, tensor_out)\n iter_loop: DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, blk_index, blk, blk_size=blk_size, blk_offset=blk_offset)\n\n DO idim = 1, ndims_tensor(tensor_in)\n blk_bounds(1, idim) = MAX(bounds(1, idim) - blk_offset(idim) + 1, 1)\n blk_bounds(2, idim) = MIN(bounds(2, idim) - blk_offset(idim) + 1, blk_size(idim))\n END DO\n\n #:for dprec, dparam, dtype, dsuffix in dtype_float_list_prec\n IF (dbcsr_t_get_data_type(tensor_in) == ${dparam}$) THEN\n #:for ndim in ndims\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n CALL dbcsr_t_get_block(tensor_in, blk_index, block_${dsuffix}$_${ndim}$d, found)\n\n CALL allocate_any(block_put_${dsuffix}$_${ndim}$d, blk_size)\n block_put_${dsuffix}$_${ndim}$d = 0.0_${dprec}$\n block_put_${dsuffix}$_${ndim}$d(${\", \".join([\"blk_bounds(1, \"+str(idim)+\"):blk_bounds(2,\"+str(idim)+\")\" for idim in range(1, ndim+1)])}$) = &\n block_${dsuffix}$_${ndim}$d(${\", \".join([\"blk_bounds(1, \"+str(idim)+\"):blk_bounds(2,\"+str(idim)+\")\" for idim in range(1, ndim+1)])}$)\n CALL dbcsr_t_put_block(tensor_out, blk_index, blk_size, block_put_${dsuffix}$_${ndim}$d)\n DEALLOCATE (block_${dsuffix}$_${ndim}$d)\n DEALLOCATE (block_put_${dsuffix}$_${ndim}$d)\n END IF\n #:endfor\n END IF\n #:endfor\n END DO iter_loop\n CALL dbcsr_t_iterator_stop(iter)\n CALL dbcsr_t_finalize(tensor_out)\n\n IF (move_data_prv) CALL dbcsr_t_clear(tensor_in)\n\n ! transfer data for batched contraction\n CALL dbcsr_t_copy_contraction_storage(tensor_in, tensor_out)\n\n END SUBROUTINE\n\n END MODULE\n" }, { "path": "src/tensors/dbcsr_tensor_test.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor_test\n !! General methods for testing DBCSR tensors.\n\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = maxrank\n #:set ndims = range(2,maxdim+1)\n\n USE dbcsr_api, ONLY: ${uselist(dtype_float_param)}$\n USE dbcsr_tensor, ONLY: &\n dbcsr_t_copy, dbcsr_t_get_block, dbcsr_t_iterator_type, dbcsr_t_iterator_blocks_left, &\n dbcsr_t_iterator_next_block, dbcsr_t_iterator_start, dbcsr_t_iterator_stop, &\n dbcsr_t_reserve_blocks, dbcsr_t_get_stored_coordinates, dbcsr_t_put_block, &\n dbcsr_t_contract, dbcsr_t_inverse_order\n USE dbcsr_tensor_block, ONLY: block_nd\n USE dbcsr_tensor_types, ONLY: &\n dbcsr_t_create, dbcsr_t_destroy, dbcsr_t_type, dbcsr_t_distribution_type, dbcsr_t_distribution_destroy, &\n dims_tensor, ndims_tensor, dbcsr_t_distribution_new, dbcsr_t_get_data_type, &\n mp_environ_pgrid, dbcsr_t_pgrid_type, dbcsr_t_pgrid_create, dbcsr_t_pgrid_destroy, dbcsr_t_get_info, &\n dbcsr_t_default_distvec\n USE dbcsr_tensor_io, ONLY: &\n dbcsr_t_write_blocks, dbcsr_t_write_block_indices\n USE dbcsr_kinds, ONLY: ${uselist(dtype_float_prec)}$, &\n default_string_length, &\n int_8\n USE dbcsr_mpiwrap, ONLY: mp_environ, &\n mp_comm_free, &\n mp_sum, &\n mp_comm_type\n USE dbcsr_allocate_wrap, ONLY: allocate_any\n USE dbcsr_tensor_index, ONLY: &\n combine_tensor_index, get_2d_indices_tensor, dbcsr_t_get_mapping_info\n USE dbcsr_tas_test, ONLY: dbcsr_tas_checksum\n USE dbcsr_data_types, ONLY: dbcsr_scalar_type\n USE dbcsr_blas_operations, ONLY: &\n set_larnv_seed\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor_test'\n\n PUBLIC :: &\n dbcsr_t_setup_test_tensor, &\n dbcsr_t_contract_test, &\n dbcsr_t_test_formats, &\n dbcsr_t_checksum, &\n dbcsr_t_reset_randmat_seed\n\n INTERFACE dist_sparse_tensor_to_repl_dense_array\n #:for dparam, dtype, dsuffix in [dtype_float_list[0]]\n #:for ndim in ndims\n MODULE PROCEDURE dist_sparse_tensor_to_repl_dense_${ndim}$d_array_${dsuffix}$\n #:endfor\n #:endfor\n END INTERFACE\n\n INTEGER, SAVE :: randmat_counter = 0\n INTEGER, PARAMETER, PRIVATE :: rand_seed_init = 12341313\n\nCONTAINS\n\n FUNCTION dbcsr_t_equal(tensor1, tensor2)\n !! check if two (arbitrarily mapped and distributed) tensors are equal.\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor1, tensor2\n LOGICAL :: dbcsr_t_equal\n\n INTEGER :: blk\n TYPE(dbcsr_t_type) :: tensor2_tmp\n TYPE(dbcsr_t_iterator_type) :: iter\n TYPE(block_nd) :: blk_data1, blk_data2\n INTEGER, DIMENSION(ndims_tensor(tensor1)) :: blk_size, ind_nd\n LOGICAL :: found\n\n ! create a copy of tensor2 that has exact same data format as tensor1\n CALL dbcsr_t_create(tensor1, tensor2_tmp)\n\n CALL dbcsr_t_reserve_blocks(tensor1, tensor2_tmp)\n CALL dbcsr_t_copy(tensor2, tensor2_tmp)\n\n dbcsr_t_equal = .TRUE.\n\n CALL dbcsr_t_iterator_start(iter, tensor1)\n\n DO WHILE (dbcsr_t_iterator_blocks_left(iter))\n CALL dbcsr_t_iterator_next_block(iter, ind_nd, blk, blk_size=blk_size)\n CALL dbcsr_t_get_block(tensor1, ind_nd, blk_data1, found)\n DBCSR_ASSERT(found)\n CALL dbcsr_t_get_block(tensor2_tmp, ind_nd, blk_data2, found)\n DBCSR_ASSERT(found)\n\n IF (.NOT. blocks_equal(blk_data1, blk_data2)) THEN\n dbcsr_t_equal = .FALSE.\n END IF\n END DO\n\n CALL dbcsr_t_iterator_stop(iter)\n\n CALL dbcsr_t_destroy(tensor2_tmp)\n END FUNCTION\n\n PURE FUNCTION blocks_equal(block1, block2)\n !! check if two blocks are equal\n TYPE(block_nd), INTENT(IN) :: block1, block2\n LOGICAL :: blocks_equal\n\n SELECT CASE (block1%data_type)\n #:for dprec, dparam, dtype, dsuffix in dtype_float_list_prec\n CASE (${dparam}$)\n blocks_equal = MAXVAL(ABS(block1%${dsuffix}$%blk - block2%${dsuffix}$%blk)) .LT. 1.0E-12_${dprec}$\n #:endfor\n END SELECT\n\n END FUNCTION\n\n PURE FUNCTION factorial(n)\n !! Compute factorial\n INTEGER, INTENT(IN) :: n\n INTEGER :: k\n INTEGER :: factorial\n factorial = PRODUCT((/(k, k=1, n)/))\n END FUNCTION\n\n SUBROUTINE permute(n, p)\n !! Compute all permutations p of (1, 2, ..., n)\n INTEGER, INTENT(IN) :: n\n INTEGER :: i, c\n INTEGER, DIMENSION(n) :: pp\n INTEGER, DIMENSION(n, factorial(n)), INTENT(OUT) :: p\n\n pp = [(i, i=1, n)]\n c = 1\n CALL perm(1)\n CONTAINS\n RECURSIVE SUBROUTINE perm(i)\n INTEGER, INTENT(IN) :: i\n INTEGER :: j, t\n IF (i == n) THEN\n p(:, c) = pp(:)\n c = c + 1\n ELSE\n DO j = i, n\n t = pp(i)\n pp(i) = pp(j)\n pp(j) = t\n call perm(i + 1)\n t = pp(i)\n pp(i) = pp(j)\n pp(j) = t\n END DO\n END IF\n END SUBROUTINE\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_test_formats(ndims, mp_comm, unit_nr, verbose, &\n ${varlist(\"blk_size\")}$, &\n ${varlist(\"blk_ind\")}$)\n !! Test equivalence of all tensor formats, using a random distribution.\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"blk_size\")}$\n !! block sizes along respective dimension\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"blk_ind\")}$\n !! index along respective dimension of non-zero blocks\n INTEGER, INTENT(IN) :: ndims\n !! tensor rank\n INTEGER, INTENT(IN) :: unit_nr\n !! output unit, needs to be a valid unit number on all mpi ranks\n LOGICAL, INTENT(IN) :: verbose\n !! if .TRUE., print all tensor blocks\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n TYPE(dbcsr_t_distribution_type) :: dist1, dist2\n TYPE(dbcsr_t_type) :: tensor1, tensor2\n INTEGER :: isep, iblk\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"dist1\")}$, &\n ${varlist(\"dist2\")}$\n INTEGER :: nblks, imap\n INTEGER, DIMENSION(ndims) :: pdims, myploc\n LOGICAL :: eql\n INTEGER :: iperm, idist, icount\n INTEGER, DIMENSION(:), ALLOCATABLE :: map1, map2, map1_ref, map2_ref\n INTEGER, DIMENSION(ndims, factorial(ndims)) :: perm\n INTEGER :: io_unit\n INTEGER :: mynode, numnodes\n TYPE(dbcsr_t_pgrid_type) :: comm_nd\n CHARACTER(LEN=default_string_length) :: tensor_name\n\n ! Process grid\n pdims(:) = 0\n CALL dbcsr_t_pgrid_create(mp_comm, pdims, comm_nd)\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n io_unit = 0\n IF (mynode .EQ. 0) io_unit = unit_nr\n\n CALL permute(ndims, perm)\n CALL allocate_any(map1_ref, source=perm(1:ndims/2, 1))\n CALL allocate_any(map2_ref, source=perm(ndims/2 + 1:ndims, 1))\n\n IF (io_unit > 0) THEN\n WRITE (io_unit, *)\n WRITE (io_unit, '(A)') repeat(\"-\", 80)\n WRITE (io_unit, '(A,1X,I1)') \"Testing matrix representations of tensor rank\", ndims\n WRITE (io_unit, '(A)') repeat(\"-\", 80)\n WRITE (io_unit, '(A)') \"Block sizes:\"\n\n #:for dim in range(1, maxdim+1)\n IF (ndims >= ${dim}$) THEN\n WRITE (io_unit, '(T4,A,1X,I1,A,1X)', advance='no') 'Dim', ${dim}$, ':'\n DO iblk = 1, SIZE(blk_size_${dim}$)\n WRITE (io_unit, '(I2,1X)', advance='no') blk_size_${dim}$ (iblk)\n END DO\n WRITE (io_unit, *)\n END IF\n #:endfor\n\n WRITE (io_unit, '(A)') \"Non-zero blocks:\"\n DO iblk = 1, SIZE(blk_ind_1)\n #:for ndim in ndims\n IF (ndims == ${ndim}$) THEN\n WRITE (io_unit, '(T4,A, I3, A, ${ndim}$I3, 1X, A)') &\n 'Block', iblk, ': (', ${varlist(\"blk_ind\", nmax=ndim, suffix='(iblk)')}$, ')'\n END IF\n #:endfor\n END DO\n\n WRITE (io_unit, *)\n WRITE (io_unit, '(A,1X)', advance='no') \"Reference map:\"\n WRITE (io_unit, '(A1,1X)', advance='no') \"(\"\n DO imap = 1, SIZE(map1_ref)\n WRITE (io_unit, '(I1,1X)', advance='no') map1_ref(imap)\n END DO\n WRITE (io_unit, '(A1,1X)', advance='no') \"|\"\n DO imap = 1, SIZE(map2_ref)\n WRITE (io_unit, '(I1,1X)', advance='no') map2_ref(imap)\n END DO\n WRITE (io_unit, '(A1)') \")\"\n\n END IF\n\n icount = 0\n DO iperm = 1, factorial(ndims)\n DO isep = 1, ndims - 1\n icount = icount + 1\n\n CALL allocate_any(map1, source=perm(1:isep, iperm))\n CALL allocate_any(map2, source=perm(isep + 1:ndims, iperm))\n\n CALL mp_environ(numnodes, mynode, mp_comm)\n CALL mp_environ_pgrid(comm_nd, pdims, myploc)\n\n #:for dim in range(1, maxdim+1)\n IF (${dim}$ <= ndims) THEN\n nblks = SIZE(blk_size_${dim}$)\n ALLOCATE (dist1_${dim}$ (nblks))\n ALLOCATE (dist2_${dim}$ (nblks))\n CALL dbcsr_t_default_distvec(nblks, pdims(${dim}$), blk_size_${dim}$, dist1_${dim}$)\n CALL dbcsr_t_default_distvec(nblks, pdims(${dim}$), blk_size_${dim}$, dist2_${dim}$)\n END IF\n #:endfor\n\n WRITE (tensor_name, '(A,1X,I3,1X)') \"Test\", icount\n\n IF (io_unit > 0) THEN\n WRITE (io_unit, *)\n WRITE (io_unit, '(A,A,1X)', advance='no') TRIM(tensor_name), ':'\n WRITE (io_unit, '(A1,1X)', advance='no') \"(\"\n DO imap = 1, SIZE(map1)\n WRITE (io_unit, '(I1,1X)', advance='no') map1(imap)\n END DO\n WRITE (io_unit, '(A1,1X)', advance='no') \"|\"\n DO imap = 1, SIZE(map2)\n WRITE (io_unit, '(I1,1X)', advance='no') map2(imap)\n END DO\n WRITE (io_unit, '(A1)') \")\"\n\n WRITE (io_unit, '(T4,A)') \"Reference distribution:\"\n #:for dim in range(1, maxdim+1)\n IF (${dim}$ <= ndims) THEN\n WRITE (io_unit, '(T7,A,1X)', advance='no') \"Dist vec ${dim}$:\"\n DO idist = 1, SIZE(dist2_${dim}$)\n WRITE (io_unit, '(I2,1X)', advance='no') dist2_${dim}$ (idist)\n END DO\n WRITE (io_unit, *)\n END IF\n #:endfor\n\n WRITE (io_unit, '(T4,A)') \"Test distribution:\"\n #:for dim in range(1, maxdim+1)\n IF (${dim}$ <= ndims) THEN\n WRITE (io_unit, '(T7,A,1X)', advance='no') \"Dist vec ${dim}$:\"\n DO idist = 1, SIZE(dist2_${dim}$)\n WRITE (io_unit, '(I2,1X)', advance='no') dist1_${dim}$ (idist)\n END DO\n WRITE (io_unit, *)\n END IF\n #:endfor\n END IF\n\n #:for ndim in ndims\n IF (ndims == ${ndim}$) THEN\n CALL dbcsr_t_distribution_new(dist2, comm_nd, ${varlist(\"dist2\", nmax=ndim)}$)\n CALL dbcsr_t_create(tensor2, \"Ref\", dist2, map1_ref, map2_ref, &\n dbcsr_type_real_8, ${varlist(\"blk_size\", nmax=ndim)}$)\n CALL dbcsr_t_setup_test_tensor(tensor2, comm_nd%mp_comm_2d, .TRUE., ${varlist(\"blk_ind\", nmax=ndim)}$)\n END IF\n #:endfor\n\n IF (verbose) CALL dbcsr_t_write_blocks(tensor2, io_unit, unit_nr)\n\n #:for ndim in ndims\n IF (ndims == ${ndim}$) THEN\n CALL dbcsr_t_distribution_new(dist1, comm_nd, ${varlist(\"dist1\", nmax=ndim)}$)\n CALL dbcsr_t_create(tensor1, tensor_name, dist1, map1, map2, &\n dbcsr_type_real_8, ${varlist(\"blk_size\", nmax=ndim)}$)\n CALL dbcsr_t_setup_test_tensor(tensor1, comm_nd%mp_comm_2d, .TRUE., ${varlist(\"blk_ind\", nmax=ndim)}$)\n END IF\n #:endfor\n\n IF (verbose) CALL dbcsr_t_write_blocks(tensor1, io_unit, unit_nr)\n\n eql = dbcsr_t_equal(tensor1, tensor2)\n\n IF (.NOT. eql) THEN\n IF (io_unit > 0) WRITE (io_unit, '(A,1X,A)') TRIM(tensor_name), 'Test failed!'\n DBCSR_ABORT('')\n ELSE\n IF (io_unit > 0) WRITE (io_unit, '(A,1X,A)') TRIM(tensor_name), 'Test passed!'\n END IF\n DEALLOCATE (map1, map2)\n\n CALL dbcsr_t_destroy(tensor1)\n CALL dbcsr_t_distribution_destroy(dist1)\n\n CALL dbcsr_t_destroy(tensor2)\n CALL dbcsr_t_distribution_destroy(dist2)\n\n #:for dim in range(1, maxdim+1)\n IF (${dim}$ <= ndims) THEN\n DEALLOCATE (dist1_${dim}$, dist2_${dim}$)\n END IF\n #:endfor\n\n END DO\n END DO\n CALL dbcsr_t_pgrid_destroy(comm_nd)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_setup_test_tensor(tensor, mp_comm, enumerate, ${varlist(\"blk_ind\")}$)\n !! Allocate and fill test tensor - entries are enumerated by their index s.t. they only depend\n !! on global properties of the tensor but not on distribution, matrix representation, etc.\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n !! communicator\n LOGICAL, INTENT(IN) :: enumerate\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"blk_ind\")}$\n !! index along respective dimension of non-zero blocks\n INTEGER :: blk, numnodes, mynode\n\n INTEGER :: i, ib, my_nblks_alloc, nblks_alloc, proc, nze\n INTEGER, ALLOCATABLE, DIMENSION(:) :: ${varlist(\"my_blk_ind\")}$\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: blk_index, blk_offset, blk_size, &\n tensor_dims\n INTEGER, DIMENSION(:, :), ALLOCATABLE :: ind_nd\n #:for ndim in ndims\n REAL(KIND=real_8), ALLOCATABLE, &\n DIMENSION(${shape_colon(ndim)}$) :: blk_values_${ndim}$\n #:endfor\n TYPE(dbcsr_t_iterator_type) :: iterator\n INTEGER, DIMENSION(4) :: iseed\n INTEGER, DIMENSION(2) :: blk_index_2d, nblks_2d\n\n nblks_alloc = SIZE(blk_ind_1)\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n IF (.NOT. enumerate) THEN\n DBCSR_ASSERT(randmat_counter .NE. 0)\n\n randmat_counter = randmat_counter + 1\n END IF\n\n ALLOCATE (ind_nd(nblks_alloc, ndims_tensor(tensor)))\n my_nblks_alloc = 0\n DO ib = 1, nblks_alloc\n #:for ndim in ndims\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n ind_nd(ib, :) = [${varlist(\"blk_ind\", nmax=ndim, suffix=\"(ib)\")}$]\n END IF\n #:endfor\n CALL dbcsr_t_get_stored_coordinates(tensor, ind_nd(ib, :), proc)\n IF (proc == mynode) THEN\n my_nblks_alloc = my_nblks_alloc + 1\n END IF\n END DO\n\n #:for dim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) >= ${dim}$) THEN\n ALLOCATE (my_blk_ind_${dim}$ (my_nblks_alloc))\n END IF\n #:endfor\n\n i = 0\n DO ib = 1, nblks_alloc\n CALL dbcsr_t_get_stored_coordinates(tensor, ind_nd(ib, :), proc)\n IF (proc == mynode) THEN\n i = i + 1\n #:for dim in range(1, maxdim+1)\n IF (ndims_tensor(tensor) >= ${dim}$) THEN\n my_blk_ind_${dim}$ (i) = blk_ind_${dim}$ (ib)\n END IF\n #:endfor\n END IF\n END DO\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n CALL dbcsr_t_reserve_blocks(tensor, ${varlist(\"my_blk_ind\", nmax=ndim)}$)\n END IF\n #:endfor\n\n CALL dbcsr_t_iterator_start(iterator, tensor)\n DO WHILE (dbcsr_t_iterator_blocks_left(iterator))\n CALL dbcsr_t_iterator_next_block(iterator, blk_index, blk, blk_size=blk_size, blk_offset=blk_offset)\n\n IF (.NOT. enumerate) THEN\n blk_index_2d = INT(get_2d_indices_tensor(tensor%nd_index_blk, blk_index))\n CALL dbcsr_t_get_mapping_info(tensor%nd_index_blk, dims_2d=nblks_2d)\n CALL set_larnv_seed(blk_index_2d(1), nblks_2d(1), blk_index_2d(2), nblks_2d(2), randmat_counter, iseed)\n nze = PRODUCT(blk_size)\n END IF\n\n #:for ndim in ndims\n IF (ndims_tensor(tensor) == ${ndim}$) THEN\n CALL allocate_any(blk_values_${ndim}$, shape_spec=blk_size)\n CALL dims_tensor(tensor, tensor_dims)\n IF (enumerate) THEN\n CALL enumerate_block_elements(blk_size, blk_offset, tensor_dims, blk_${ndim}$=blk_values_${ndim}$)\n ELSE\n CALL dlarnv(1, iseed, nze, blk_values_${ndim}$)\n END IF\n CALL dbcsr_t_put_block(tensor, blk_index, blk_size, blk_values_${ndim}$)\n DEALLOCATE (blk_values_${ndim}$)\n END IF\n #:endfor\n END DO\n CALL dbcsr_t_iterator_stop(iterator)\n\n END SUBROUTINE\n\n SUBROUTINE enumerate_block_elements(blk_size, blk_offset, tensor_size, ${varlist(\"blk\", nmin=2)}$)\n !! Enumerate tensor entries in block\n !! \\blk_2 block values for 2 dimensions\n !! \\blk_3 block values for 3 dimensions\n\n INTEGER, DIMENSION(:), INTENT(IN) :: blk_size, blk_offset, tensor_size\n !! size of block\n !! block offset (indices of first element)\n !! global tensor sizes\n #:for ndim in ndims\n REAL(KIND=real_8), DIMENSION(${shape_colon(ndim)}$), &\n OPTIONAL, INTENT(OUT) :: blk_${ndim}$\n #:endfor\n INTEGER :: ndim\n INTEGER, DIMENSION(SIZE(blk_size)) :: arr_ind, tens_ind\n INTEGER :: ${varlist(\"i\")}$\n\n ndim = SIZE(tensor_size)\n\n #:for ndim in ndims\n IF (ndim == ${ndim}$) THEN\n #:for idim in range(ndim,0,-1)\n DO i_${idim}$ = 1, blk_size(${idim}$)\n #:endfor\n arr_ind(:) = [${varlist(\"i\", nmax=ndim)}$]\n tens_ind(:) = arr_ind(:) + blk_offset(:) - 1\n blk_${ndim}$ (${arrlist(\"arr_ind\", nmax=ndim)}$) = combine_tensor_index(tens_ind, tensor_size)\n #:for idim in range(ndim,0,-1)\n END DO\n #:endfor\n END IF\n #:endfor\n\n END SUBROUTINE\n\n #:for dprec, dparam, dtype, dsuffix in [dtype_float_list_prec[0]]\n #:for ndim in ndims\n SUBROUTINE dist_sparse_tensor_to_repl_dense_${ndim}$d_array_${dsuffix}$ (tensor, array)\n !! Transform a distributed sparse tensor to a replicated dense array. This is only useful for\n !! testing tensor contraction by matrix multiplication of dense arrays.\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n ${dtype}$, ALLOCATABLE, DIMENSION(${shape_colon(ndim)}$), &\n INTENT(OUT) :: array\n ${dtype}$, ALLOCATABLE, DIMENSION(${shape_colon(ndim)}$) :: block\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: dims_nd, ind_nd, blk_size, blk_offset\n TYPE(dbcsr_t_iterator_type) :: iterator\n INTEGER :: blk, idim\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: blk_start, blk_end\n LOGICAL :: found\n\n DBCSR_ASSERT(ndims_tensor(tensor) .EQ. ${ndim}$)\n CALL dbcsr_t_get_info(tensor, nfull_total=dims_nd)\n CALL allocate_any(array, shape_spec=dims_nd)\n array(${shape_colon(ndim)}$) = 0.0_${dprec}$\n\n CALL dbcsr_t_iterator_start(iterator, tensor)\n DO WHILE (dbcsr_t_iterator_blocks_left(iterator))\n CALL dbcsr_t_iterator_next_block(iterator, ind_nd, blk, blk_size=blk_size, blk_offset=blk_offset)\n CALL dbcsr_t_get_block(tensor, ind_nd, block, found)\n DBCSR_ASSERT(found)\n\n DO idim = 1, ndims_tensor(tensor)\n blk_start(idim) = blk_offset(idim)\n blk_end(idim) = blk_offset(idim) + blk_size(idim) - 1\n END DO\n array(${\", \".join([\"blk_start(\"+str(idim)+\"):blk_end(\"+str(idim)+\")\" for idim in range(1, ndim + 1)])}$) = &\n block(${shape_colon(ndim)}$)\n\n DEALLOCATE (block)\n END DO\n CALL dbcsr_t_iterator_stop(iterator)\n CALL mp_sum(array, tensor%pgrid%mp_comm_2d)\n\n END SUBROUTINE\n #:endfor\n #:endfor\n\n SUBROUTINE dbcsr_t_contract_test(alpha, tensor_1, tensor_2, beta, tensor_3, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n map_1, map_2, &\n unit_nr, &\n bounds_1, bounds_2, bounds_3, &\n log_verbose, write_int)\n !! test tensor contraction\n !! @note\n !! for testing/debugging, simply replace a call to dbcsr_t_contract with a call to this routine\n !! @endnote\n\n TYPE(dbcsr_scalar_type), INTENT(IN) :: alpha\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_1, tensor_2, tensor_3\n TYPE(dbcsr_scalar_type), INTENT(IN) :: beta\n INTEGER, DIMENSION(:), INTENT(IN) :: contract_1, contract_2, &\n notcontract_1, notcontract_2, &\n map_1, map_2\n INTEGER, INTENT(IN) :: unit_nr\n INTEGER, DIMENSION(2, SIZE(contract_1)), &\n OPTIONAL :: bounds_1\n INTEGER, DIMENSION(2, SIZE(notcontract_1)), &\n OPTIONAL :: bounds_2\n INTEGER, DIMENSION(2, SIZE(notcontract_2)), &\n OPTIONAL :: bounds_3\n LOGICAL, INTENT(IN), OPTIONAL :: log_verbose\n LOGICAL, INTENT(IN), OPTIONAL :: write_int\n INTEGER :: io_unit, mynode, numnodes\n INTEGER, DIMENSION(:), ALLOCATABLE :: size_1, size_2, size_3, &\n order_t1, order_t2, order_t3\n INTEGER, DIMENSION(2, ndims_tensor(tensor_1)) :: bounds_t1\n INTEGER, DIMENSION(2, ndims_tensor(tensor_2)) :: bounds_t2\n TYPE(mp_comm_type) :: mp_comm\n\n #:for ndim in ndims\n REAL(KIND=real_8), ALLOCATABLE, &\n DIMENSION(${shape_colon(ndim)}$) :: array_1_${ndim}$d, &\n array_2_${ndim}$d, &\n array_3_${ndim}$d, &\n array_1_${ndim}$d_full, &\n array_2_${ndim}$d_full, &\n array_3_0_${ndim}$d, &\n array_1_rs${ndim}$d, &\n array_2_rs${ndim}$d, &\n array_3_rs${ndim}$d, &\n array_3_0_rs${ndim}$d\n #:endfor\n REAL(KIND=real_8), ALLOCATABLE, &\n DIMENSION(:, :) :: array_1_mm, &\n array_2_mm, &\n array_3_mm, &\n array_3_test_mm\n LOGICAL :: eql, notzero\n LOGICAL, PARAMETER :: debug = .FALSE.\n REAL(KIND=real_8) :: cs_1, cs_2, cs_3, eql_diff\n LOGICAL :: do_crop_1, do_crop_2\n\n mp_comm = tensor_1%pgrid%mp_comm_2d\n CALL mp_environ(numnodes, mynode, mp_comm)\n io_unit = -1\n IF (mynode .EQ. 0) io_unit = unit_nr\n\n cs_1 = dbcsr_t_checksum(tensor_1)\n cs_2 = dbcsr_t_checksum(tensor_2)\n cs_3 = dbcsr_t_checksum(tensor_3)\n\n IF (io_unit > 0) THEN\n WRITE (io_unit, *)\n WRITE (io_unit, '(A)') repeat(\"-\", 80)\n WRITE (io_unit, '(A,1X,A,1X,A,1X,A,1X,A,1X,A)') \"Testing tensor contraction\", &\n TRIM(tensor_1%name), \"x\", TRIM(tensor_2%name), \"=\", TRIM(tensor_3%name)\n WRITE (io_unit, '(A)') repeat(\"-\", 80)\n END IF\n\n IF (debug) THEN\n IF (io_unit > 0) THEN\n WRITE (io_unit, \"(A, E9.2)\") \"checksum \", TRIM(tensor_1%name), cs_1\n WRITE (io_unit, \"(A, E9.2)\") \"checksum \", TRIM(tensor_2%name), cs_2\n WRITE (io_unit, \"(A, E9.2)\") \"checksum \", TRIM(tensor_3%name), cs_3\n END IF\n END IF\n\n IF (debug) THEN\n CALL dbcsr_t_write_block_indices(tensor_1, io_unit, unit_nr)\n CALL dbcsr_t_write_blocks(tensor_1, io_unit, unit_nr, write_int)\n END IF\n\n SELECT CASE (ndims_tensor(tensor_3))\n #:for ndim in ndims\n CASE (${ndim}$)\n CALL dist_sparse_tensor_to_repl_dense_array(tensor_3, array_3_0_${ndim}$d)\n #:endfor\n END SELECT\n\n CALL dbcsr_t_contract(alpha, tensor_1, tensor_2, beta, tensor_3, &\n contract_1, notcontract_1, &\n contract_2, notcontract_2, &\n map_1, map_2, &\n bounds_1=bounds_1, bounds_2=bounds_2, bounds_3=bounds_3, &\n filter_eps=1.0E-12_real_8, &\n unit_nr=io_unit, log_verbose=log_verbose)\n\n cs_3 = dbcsr_t_checksum(tensor_3)\n\n IF (debug) THEN\n IF (io_unit > 0) THEN\n WRITE (io_unit, \"(A, E9.2)\") \"checksum \", TRIM(tensor_3%name), cs_3\n END IF\n END IF\n\n do_crop_1 = .FALSE.; do_crop_2 = .FALSE.!; do_crop_3 = .FALSE.\n\n ! crop tensor as first step\n bounds_t1(1, :) = 1\n CALL dbcsr_t_get_info(tensor_1, nfull_total=bounds_t1(2, :))\n\n bounds_t2(1, :) = 1\n CALL dbcsr_t_get_info(tensor_2, nfull_total=bounds_t2(2, :))\n\n IF (PRESENT(bounds_1)) THEN\n bounds_t1(:, contract_1) = bounds_1\n do_crop_1 = .TRUE.\n bounds_t2(:, contract_2) = bounds_1\n do_crop_2 = .TRUE.\n END IF\n\n IF (PRESENT(bounds_2)) THEN\n bounds_t1(:, notcontract_1) = bounds_2\n do_crop_1 = .TRUE.\n END IF\n\n IF (PRESENT(bounds_3)) THEN\n bounds_t2(:, notcontract_2) = bounds_3\n do_crop_2 = .TRUE.\n END IF\n\n ! Convert tensors to simple multidimensional arrays\n #:for i in range(1,4)\n SELECT CASE (ndims_tensor(tensor_${i}$))\n #:for ndim in ndims\n CASE (${ndim}$)\n #:if i < 3\n CALL dist_sparse_tensor_to_repl_dense_array(tensor_${i}$, array_${i}$_${ndim}$d_full)\n CALL allocate_any(array_${i}$_${ndim}$d, shape_spec=SHAPE(array_${i}$_${ndim}$d_full))\n array_${i}$_${ndim}$d = 0.0_real_8\n array_${i}$_${ndim}$d(${\", \".join([\"bounds_t\" + str(i) + \"(1, \" + str(idim) + \"):bounds_t\" + str(i) + \"(2, \" + str(idim) + \")\" for idim in range(1, ndim+1)])}$) = &\n array_${i}$_${ndim}$d_full(${\", \".join([\"bounds_t\" + str(i) + \"(1, \" + str(idim) + \"):bounds_t\" + str(i) + \"(2, \" + str(idim) + \")\" for idim in range(1, ndim+1)])}$)\n #:else\n CALL dist_sparse_tensor_to_repl_dense_array(tensor_${i}$, array_${i}$_${ndim}$d)\n #:endif\n\n #:endfor\n END SELECT\n #:endfor\n\n ! Get array sizes\n\n #:for i in range(1,4)\n SELECT CASE (ndims_tensor(tensor_${i}$))\n #:for ndim in ndims\n CASE (${ndim}$)\n CALL allocate_any(size_${i}$, source=SHAPE(array_${i}$_${ndim}$d))\n\n #:endfor\n END SELECT\n #:endfor\n\n #:for i in range(1,4)\n ALLOCATE (order_t${i}$ (ndims_tensor(tensor_${i}$)))\n #:endfor\n\n ASSOCIATE (map_t1_1 => notcontract_1, map_t1_2 => contract_1, &\n map_t2_1 => notcontract_2, map_t2_2 => contract_2, &\n map_t3_1 => map_1, map_t3_2 => map_2)\n\n #:for i in range(1,4)\n order_t${i}$ (:) = dbcsr_t_inverse_order([map_t${i}$_1, map_t${i}$_2])\n\n SELECT CASE (ndims_tensor(tensor_${i}$))\n #:for ndim in ndims\n CASE (${ndim}$)\n CALL allocate_any(array_${i}$_rs${ndim}$d, source=array_${i}$_${ndim}$d, order=order_t${i}$)\n CALL allocate_any(array_${i}$_mm, sizes_2d(size_${i}$, map_t${i}$_1, map_t${i}$_2))\n array_${i}$_mm(:, :) = RESHAPE(array_${i}$_rs${ndim}$d, SHAPE(array_${i}$_mm))\n #:endfor\n END SELECT\n #:endfor\n\n SELECT CASE (ndims_tensor(tensor_3))\n #:for ndim in ndims\n CASE (${ndim}$)\n CALL allocate_any(array_3_0_rs${ndim}$d, source=array_3_0_${ndim}$d, order=order_t3)\n CALL allocate_any(array_3_test_mm, sizes_2d(size_3, map_t3_1, map_t3_2))\n array_3_test_mm(:, :) = RESHAPE(array_3_0_rs${ndim}$d, SHAPE(array_3_mm))\n #:endfor\n END SELECT\n\n array_3_test_mm(:, :) = beta%r_dp*array_3_test_mm(:, :) + alpha%r_dp*MATMUL(array_1_mm, transpose(array_2_mm))\n\n END ASSOCIATE\n\n eql_diff = MAXVAL(ABS(array_3_test_mm(:, :) - array_3_mm(:, :)))\n notzero = MAXVAL(ABS(array_3_test_mm(:, :))) .GT. 1.0E-12_${dprec}$\n\n eql = eql_diff .LT. 1.0E-11_${dprec}$\n\n IF (.NOT. eql .OR. .NOT. notzero) THEN\n IF (io_unit > 0) WRITE (io_unit, *) 'Test failed!', eql_diff\n DBCSR_ABORT('')\n ELSE\n IF (io_unit > 0) WRITE (io_unit, *) 'Test passed!', eql_diff\n END IF\n\n END SUBROUTINE\n\n FUNCTION sizes_2d(nd_sizes, map1, map2)\n !! mapped sizes in 2d\n INTEGER, DIMENSION(:), INTENT(IN) :: nd_sizes, map1, map2\n INTEGER, DIMENSION(2) :: sizes_2d\n sizes_2d(1) = PRODUCT(nd_sizes(map1))\n sizes_2d(2) = PRODUCT(nd_sizes(map2))\n END FUNCTION\n\n FUNCTION dbcsr_t_checksum(tensor, local, pos)\n !! checksum of a tensor consistent with dbcsr_checksum\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n REAL(KIND=real_8) :: dbcsr_t_checksum\n LOGICAL, INTENT(IN), OPTIONAL :: local, pos\n dbcsr_t_checksum = dbcsr_tas_checksum(tensor%matrix_rep, local, pos)\n END FUNCTION\n\n SUBROUTINE dbcsr_t_reset_randmat_seed()\n !! Reset the seed used for generating random matrices to default value\n randmat_counter = rand_seed_init\n END SUBROUTINE\n\n END MODULE\n" }, { "path": "src/tensors/dbcsr_tensor_types.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_tensor_types\n !! DBCSR tensor framework for block-sparse tensor contraction: Types and create/destroy\n !! routines.\n\n #:include \"dbcsr_tensor.fypp\"\n #:set maxdim = maxrank\n #:set ndims = range(2,maxdim+1)\n\n USE dbcsr_array_list_methods, ONLY: &\n array_list, array_offsets, create_array_list, destroy_array_list, get_array_elements, &\n sizes_of_arrays, sum_of_arrays, array_sublist, get_arrays, get_ith_array, array_eq_i\n USE dbcsr_api, ONLY: &\n dbcsr_distribution_get, dbcsr_distribution_type, dbcsr_get_info, dbcsr_type, &\n ${uselist(dtype_float_param)}$\n USE dbcsr_kinds, ONLY: &\n ${uselist(dtype_float_prec)}$, &\n default_string_length\n USE dbcsr_tas_base, ONLY: &\n dbcsr_tas_create, dbcsr_tas_distribution_new, &\n dbcsr_tas_distribution_destroy, dbcsr_tas_finalize, dbcsr_tas_get_info, &\n dbcsr_tas_destroy, dbcsr_tas_get_stored_coordinates, dbcsr_tas_set, dbcsr_tas_filter, &\n dbcsr_tas_get_num_blocks, dbcsr_tas_get_num_blocks_total, dbcsr_tas_get_data_size, dbcsr_tas_get_nze, &\n dbcsr_tas_get_nze_total, dbcsr_tas_clear, dbcsr_tas_get_data_type\n USE dbcsr_tas_types, ONLY: &\n dbcsr_tas_type, dbcsr_tas_distribution_type, dbcsr_tas_split_info, dbcsr_tas_mm_storage\n USE dbcsr_tas_mm, ONLY: dbcsr_tas_set_batched_state\n USE dbcsr_tensor_index, ONLY: &\n get_2d_indices_tensor, get_nd_indices_pgrid, create_nd_to_2d_mapping, destroy_nd_to_2d_mapping, &\n dbcsr_t_get_mapping_info, nd_to_2d_mapping, split_tensor_index, combine_tensor_index, combine_pgrid_index, &\n split_pgrid_index, ndims_mapping, ndims_mapping_row, ndims_mapping_column\n USE dbcsr_tas_split, ONLY: &\n dbcsr_tas_release_info, dbcsr_tas_info_hold, &\n dbcsr_tas_create_split, dbcsr_tas_get_split_info, dbcsr_tas_set_strict_split\n USE dbcsr_kinds, ONLY: default_string_length, int_8, dp\n USE dbcsr_mpiwrap, ONLY: &\n mp_cart_create, mp_environ, mp_dims_create, mp_comm_free, mp_comm_type\n USE dbcsr_tas_global, ONLY: dbcsr_tas_distribution, dbcsr_tas_rowcol_data, dbcsr_tas_default_distvec\n USE dbcsr_allocate_wrap, ONLY: allocate_any\n USE dbcsr_data_types, ONLY: dbcsr_scalar_type\n USE dbcsr_operations, ONLY: dbcsr_scale\n USE dbcsr_toollib, ONLY: sort\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_tensor_types'\n\n PUBLIC :: &\n blk_dims_tensor, &\n dbcsr_t_blk_offsets, &\n dbcsr_t_blk_sizes, &\n dbcsr_t_clear, &\n dbcsr_t_create, &\n dbcsr_t_destroy, &\n dbcsr_t_distribution, &\n dbcsr_t_distribution_destroy, &\n dbcsr_t_distribution_new, &\n dbcsr_t_distribution_new_expert, &\n dbcsr_t_distribution_type, &\n dbcsr_t_filter, &\n dbcsr_t_finalize, &\n dbcsr_t_get_data_size, &\n dbcsr_t_get_data_type, &\n dbcsr_t_get_info, &\n dbcsr_t_get_num_blocks, &\n dbcsr_t_get_num_blocks_total, &\n dbcsr_t_get_nze, &\n dbcsr_t_get_nze_total, &\n dbcsr_t_get_stored_coordinates, &\n dbcsr_t_hold, &\n dbcsr_t_mp_dims_create, &\n dbcsr_t_nd_mp_comm, &\n dbcsr_t_nd_mp_free, &\n dbcsr_t_pgrid_change_dims, &\n dbcsr_t_pgrid_create, &\n dbcsr_t_pgrid_create_expert, &\n dbcsr_t_pgrid_destroy, &\n dbcsr_t_pgrid_type, &\n dbcsr_t_pgrid_set_strict_split, &\n dbcsr_t_scale, &\n dbcsr_t_set, &\n dbcsr_t_type, &\n dims_tensor, &\n mp_environ_pgrid, &\n ndims_tensor, &\n ndims_matrix_row, &\n ndims_matrix_column, &\n dbcsr_t_nblks_local, &\n dbcsr_t_nblks_total, &\n dbcsr_t_blk_size, &\n dbcsr_t_max_nblks_local, &\n dbcsr_t_default_distvec, &\n dbcsr_t_contraction_storage, &\n dbcsr_t_copy_contraction_storage\n\n TYPE dbcsr_t_pgrid_type\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(nd_to_2d_mapping) :: nd_index_grid\n#else\n TYPE(nd_to_2d_mapping) :: nd_index_grid = nd_to_2d_mapping()\n#endif\n TYPE(mp_comm_type) :: mp_comm_2d = mp_comm_type()\n TYPE(dbcsr_tas_split_info), ALLOCATABLE :: tas_split_info\n INTEGER :: nproc = -1\n END TYPE\n\n TYPE dbcsr_t_contraction_storage\n REAL(real_8) :: nsplit_avg = -1.0_real_8\n INTEGER :: ibatch = -1\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(array_list) :: batch_ranges\n#else\n TYPE(array_list) :: batch_ranges = array_list()\n#endif\n LOGICAL :: static = .FALSE.\n END TYPE\n\n TYPE dbcsr_t_type\n TYPE(dbcsr_tas_type), POINTER :: matrix_rep => NULL()\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(nd_to_2d_mapping) :: nd_index_blk\n TYPE(nd_to_2d_mapping) :: nd_index\n TYPE(array_list) :: blk_sizes\n TYPE(array_list) :: blk_offsets\n TYPE(array_list) :: nd_dist\n TYPE(dbcsr_t_pgrid_type) :: pgrid\n TYPE(array_list) :: blks_local\n#else\n TYPE(nd_to_2d_mapping) :: nd_index_blk = nd_to_2d_mapping()\n TYPE(nd_to_2d_mapping) :: nd_index = nd_to_2d_mapping()\n TYPE(array_list) :: blk_sizes = array_list()\n TYPE(array_list) :: blk_offsets = array_list()\n TYPE(array_list) :: nd_dist = array_list()\n TYPE(dbcsr_t_pgrid_type) :: pgrid = dbcsr_t_pgrid_type()\n TYPE(array_list) :: blks_local = array_list()\n#endif\n INTEGER, DIMENSION(:), ALLOCATABLE :: nblks_local\n INTEGER, DIMENSION(:), ALLOCATABLE :: nfull_local\n LOGICAL :: valid = .FALSE.\n LOGICAL :: owns_matrix = .FALSE.\n CHARACTER(LEN=default_string_length) :: name = \"\"\n ! lightweight reference counting for communicators:\n INTEGER, POINTER :: refcount => NULL()\n TYPE(dbcsr_t_contraction_storage), ALLOCATABLE :: contraction_storage\n END TYPE dbcsr_t_type\n\n TYPE dbcsr_t_distribution_type\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(dbcsr_tas_distribution_type) :: dist\n TYPE(dbcsr_t_pgrid_type) :: pgrid\n TYPE(array_list) :: nd_dist\n#else\n TYPE(dbcsr_tas_distribution_type) :: dist = dbcsr_tas_distribution_type()\n TYPE(dbcsr_t_pgrid_type) :: pgrid = dbcsr_t_pgrid_type()\n TYPE(array_list) :: nd_dist = array_list()\n#endif\n ! lightweight reference counting for communicators:\n INTEGER, POINTER :: refcount => NULL()\n END TYPE\n\n ! tas matrix distribution function object for one matrix index\n TYPE, EXTENDS(dbcsr_tas_distribution) :: dbcsr_tas_dist_t\n ! tensor dimensions only for this matrix dimension:\n INTEGER, DIMENSION(:), ALLOCATABLE :: dims\n ! grid dimensions only for this matrix dimension:\n INTEGER, DIMENSION(:), ALLOCATABLE :: dims_grid\n ! dist only for tensor dimensions belonging to this matrix dimension:\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(array_list) :: nd_dist\n#else\n TYPE(array_list) :: nd_dist = array_list()\n#endif\n CONTAINS\n ! map matrix index to process grid:\n PROCEDURE :: dist => tas_dist_t\n ! map process grid to matrix index:\n PROCEDURE :: rowcols => tas_rowcols_t\n END TYPE\n\n ! block size object for one matrix index\n TYPE, EXTENDS(dbcsr_tas_rowcol_data) :: dbcsr_tas_blk_size_t\n ! tensor dimensions only for this matrix dimension:\n INTEGER, DIMENSION(:), ALLOCATABLE :: dims\n ! block size only for this matrix dimension:\n#if defined(__GNUC__) && defined(__GNUC_MINOR__) && (TO_VERSION(9, 5) > TO_VERSION(__GNUC__, __GNUC_MINOR__))\n TYPE(array_list) :: blk_size\n#else\n TYPE(array_list) :: blk_size = array_list()\n#endif\n CONTAINS\n PROCEDURE :: data => tas_blk_size_t\n END TYPE\n\n INTERFACE dbcsr_t_create\n MODULE PROCEDURE dbcsr_t_create_new\n MODULE PROCEDURE dbcsr_t_create_template\n MODULE PROCEDURE dbcsr_t_create_matrix\n END INTERFACE\n\n INTERFACE dbcsr_tas_dist_t\n MODULE PROCEDURE new_dbcsr_tas_dist_t\n END INTERFACE\n\n INTERFACE dbcsr_tas_blk_size_t\n MODULE PROCEDURE new_dbcsr_tas_blk_size_t\n END INTERFACE\n\n INTERFACE dbcsr_t_set\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE dbcsr_t_set_${dsuffix}$\n #:endfor\n END INTERFACE\n\n INTERFACE dbcsr_t_filter\n #:for dparam, dtype, dsuffix in dtype_float_list\n MODULE PROCEDURE dbcsr_t_filter_${dsuffix}$\n #:endfor\n END INTERFACE\n\nCONTAINS\n\n FUNCTION new_dbcsr_tas_dist_t(nd_dist, map_blks, map_grid, which_dim)\n !! Create distribution object for one matrix dimension\n !! \\return distribution object\n\n TYPE(array_list), INTENT(IN) :: nd_dist\n !! arrays for distribution vectors along all dimensions\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map_blks, map_grid\n !! tensor to matrix mapping object for blocks\n !! tensor to matrix mapping object for process grid\n INTEGER, INTENT(IN) :: which_dim\n !! for which dimension (1 or 2) distribution should be created\n\n TYPE(dbcsr_tas_dist_t) :: new_dbcsr_tas_dist_t\n INTEGER, DIMENSION(2) :: grid_dims\n INTEGER(KIND=int_8), DIMENSION(2) :: matrix_dims\n INTEGER, DIMENSION(:), ALLOCATABLE :: index_map\n\n IF (which_dim == 1) THEN\n ALLOCATE (new_dbcsr_tas_dist_t%dims(ndims_mapping_row(map_blks)))\n ALLOCATE (index_map(ndims_mapping_row(map_blks)))\n CALL dbcsr_t_get_mapping_info(map_blks, &\n dims_2d_i8=matrix_dims, &\n map1_2d=index_map, &\n dims1_2d=new_dbcsr_tas_dist_t%dims)\n ALLOCATE (new_dbcsr_tas_dist_t%dims_grid(ndims_mapping_row(map_grid)))\n CALL dbcsr_t_get_mapping_info(map_grid, &\n dims_2d=grid_dims, &\n dims1_2d=new_dbcsr_tas_dist_t%dims_grid)\n ELSEIF (which_dim == 2) THEN\n ALLOCATE (new_dbcsr_tas_dist_t%dims(ndims_mapping_column(map_blks)))\n ALLOCATE (index_map(ndims_mapping_column(map_blks)))\n CALL dbcsr_t_get_mapping_info(map_blks, &\n dims_2d_i8=matrix_dims, &\n map2_2d=index_map, &\n dims2_2d=new_dbcsr_tas_dist_t%dims)\n ALLOCATE (new_dbcsr_tas_dist_t%dims_grid(ndims_mapping_column(map_grid)))\n CALL dbcsr_t_get_mapping_info(map_grid, &\n dims_2d=grid_dims, &\n dims2_2d=new_dbcsr_tas_dist_t%dims_grid)\n ELSE\n DBCSR_ABORT(\"Unknown value for which_dim\")\n END IF\n\n new_dbcsr_tas_dist_t%nd_dist = array_sublist(nd_dist, index_map)\n new_dbcsr_tas_dist_t%nprowcol = grid_dims(which_dim)\n new_dbcsr_tas_dist_t%nmrowcol = matrix_dims(which_dim)\n END FUNCTION\n\n FUNCTION tas_dist_t(t, rowcol)\n CLASS(dbcsr_tas_dist_t), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER, DIMENSION(${maxrank}$) :: ind_blk\n INTEGER, DIMENSION(${maxrank}$) :: dist_blk\n INTEGER :: tas_dist_t\n\n ind_blk(:SIZE(t%dims)) = split_tensor_index(rowcol, t%dims)\n dist_blk(:SIZE(t%dims)) = get_array_elements(t%nd_dist, ind_blk(:SIZE(t%dims)))\n tas_dist_t = combine_pgrid_index(dist_blk(:SIZE(t%dims)), t%dims_grid)\n END FUNCTION\n\n FUNCTION tas_rowcols_t(t, dist)\n CLASS(dbcsr_tas_dist_t), INTENT(IN) :: t\n INTEGER, INTENT(IN) :: dist\n INTEGER(KIND=int_8), DIMENSION(:), ALLOCATABLE :: tas_rowcols_t\n INTEGER, DIMENSION(${maxrank}$) :: dist_blk\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"dist\")}$, ${varlist(\"blks\")}$, blks_tmp, nd_ind\n INTEGER :: ${varlist(\"i\")}$, i, iblk, iblk_count, nblks\n INTEGER(KIND=int_8) :: nrowcols\n TYPE(array_list) :: blks\n\n dist_blk(:SIZE(t%dims)) = split_pgrid_index(dist, t%dims_grid)\n\n #:for ndim in range(1, maxdim+1)\n IF (SIZE(t%dims) == ${ndim}$) THEN\n CALL get_arrays(t%nd_dist, ${varlist(\"dist\", nmax=ndim)}$)\n END IF\n #:endfor\n\n #:for idim in range(1, maxdim+1)\n IF (SIZE(t%dims) .GE. ${idim}$) THEN\n nblks = SIZE(dist_${idim}$)\n ALLOCATE (blks_tmp(nblks))\n iblk_count = 0\n DO iblk = 1, nblks\n IF (dist_${idim}$ (iblk) == dist_blk(${idim}$)) THEN\n iblk_count = iblk_count + 1\n blks_tmp(iblk_count) = iblk\n END IF\n END DO\n ALLOCATE (blks_${idim}$ (iblk_count))\n blks_${idim}$ (:) = blks_tmp(:iblk_count)\n DEALLOCATE (blks_tmp)\n END IF\n #:endfor\n\n #:for ndim in range(1, maxdim+1)\n IF (SIZE(t%dims) == ${ndim}$) THEN\n CALL create_array_list(blks, ${ndim}$, ${varlist(\"blks\", nmax=ndim)}$)\n END IF\n #:endfor\n\n nrowcols = PRODUCT(INT(sizes_of_arrays(blks), int_8))\n ALLOCATE (tas_rowcols_t(nrowcols))\n\n #:for ndim in range(1, maxdim+1)\n IF (SIZE(t%dims) == ${ndim}$) THEN\n ALLOCATE (nd_ind(${ndim}$))\n i = 0\n #:for idim in range(1,ndim+1)\n DO i_${idim}$ = 1, SIZE(blks_${idim}$)\n #:endfor\n i = i + 1\n\n nd_ind(:) = get_array_elements(blks, [${varlist(\"i\", nmax=ndim)}$])\n tas_rowcols_t(i) = combine_tensor_index(nd_ind, t%dims)\n #:for idim in range(1,ndim+1)\n END DO\n #:endfor\n END IF\n #:endfor\n\n END FUNCTION\n\n FUNCTION new_dbcsr_tas_blk_size_t(blk_size, map_blks, which_dim)\n !! Create block size object for one matrix dimension\n !! \\return block size object\n\n TYPE(array_list), INTENT(IN) :: blk_size\n !! arrays for block sizes along all dimensions\n TYPE(nd_to_2d_mapping), INTENT(IN) :: map_blks\n !! tensor to matrix mapping object for blocks\n INTEGER, INTENT(IN) :: which_dim\n !! for which dimension (1 or 2) distribution should be created\n INTEGER(KIND=int_8), DIMENSION(2) :: matrix_dims\n INTEGER, DIMENSION(:), ALLOCATABLE :: index_map\n TYPE(dbcsr_tas_blk_size_t) :: new_dbcsr_tas_blk_size_t\n\n IF (which_dim == 1) THEN\n ALLOCATE (index_map(ndims_mapping_row(map_blks)))\n ALLOCATE (new_dbcsr_tas_blk_size_t%dims(ndims_mapping_row(map_blks)))\n CALL dbcsr_t_get_mapping_info(map_blks, &\n dims_2d_i8=matrix_dims, &\n map1_2d=index_map, &\n dims1_2d=new_dbcsr_tas_blk_size_t%dims)\n ELSEIF (which_dim == 2) THEN\n ALLOCATE (index_map(ndims_mapping_column(map_blks)))\n ALLOCATE (new_dbcsr_tas_blk_size_t%dims(ndims_mapping_column(map_blks)))\n CALL dbcsr_t_get_mapping_info(map_blks, &\n dims_2d_i8=matrix_dims, &\n map2_2d=index_map, &\n dims2_2d=new_dbcsr_tas_blk_size_t%dims)\n ELSE\n DBCSR_ABORT(\"Unknown value for which_dim\")\n END IF\n\n new_dbcsr_tas_blk_size_t%blk_size = array_sublist(blk_size, index_map)\n new_dbcsr_tas_blk_size_t%nmrowcol = matrix_dims(which_dim)\n\n new_dbcsr_tas_blk_size_t%nfullrowcol = PRODUCT(INT(sum_of_arrays(new_dbcsr_tas_blk_size_t%blk_size), &\n KIND=int_8))\n END FUNCTION\n\n FUNCTION tas_blk_size_t(t, rowcol)\n CLASS(dbcsr_tas_blk_size_t), INTENT(IN) :: t\n INTEGER(KIND=int_8), INTENT(IN) :: rowcol\n INTEGER :: tas_blk_size_t\n INTEGER, DIMENSION(SIZE(t%dims)) :: ind_blk\n INTEGER, DIMENSION(SIZE(t%dims)) :: blk_size\n\n ind_blk(:) = split_tensor_index(rowcol, t%dims)\n blk_size(:) = get_array_elements(t%blk_size, ind_blk)\n tas_blk_size_t = PRODUCT(blk_size)\n\n END FUNCTION\n\n FUNCTION dbcsr_t_nd_mp_comm(comm_2d, map1_2d, map2_2d, dims_nd, dims1_nd, dims2_nd, pdims_2d, tdims, &\n nsplit, dimsplit)\n !! Create a default nd process topology that is consistent with a given 2d topology.\n !! Purpose: a nd tensor defined on the returned process grid can be represented as a DBCSR\n !! matrix with the given 2d topology.\n !! This is needed to enable contraction of 2 tensors (must have the same 2d process grid).\n !! \\return with nd cartesian grid\n\n TYPE(mp_comm_type), INTENT(IN) :: comm_2d\n !! communicator with 2-dimensional topology\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d, map2_2d\n !! which nd-indices map to first matrix index and in which order\n !! which nd-indices map to second matrix index and in which order\n INTEGER, DIMENSION(SIZE(map1_2d) + SIZE(map2_2d)), &\n INTENT(IN), OPTIONAL :: dims_nd\n !! nd dimensions\n INTEGER, DIMENSION(SIZE(map1_2d)), INTENT(IN), OPTIONAL :: dims1_nd\n INTEGER, DIMENSION(SIZE(map2_2d)), INTENT(IN), OPTIONAL :: dims2_nd\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: pdims_2d\n !! if comm_2d does not have a cartesian topology associated, can input dimensions with pdims_2d\n INTEGER, DIMENSION(SIZE(map1_2d) + SIZE(map2_2d)), &\n INTENT(IN), OPTIONAL :: tdims\n !! tensor block dimensions. If present, process grid dimensions are created such that good\n !! load balancing is ensured even if some of the tensor dimensions are small (i.e. on the same order\n !! or smaller than nproc**(1/ndim) where ndim is the tensor rank)\n INTEGER, INTENT(IN), OPTIONAL :: nsplit, dimsplit\n INTEGER :: ndim1, ndim2\n INTEGER :: numtask\n INTEGER, DIMENSION(2) :: dims_2d, task_coor\n\n INTEGER, DIMENSION(SIZE(map1_2d)) :: dims1_nd_prv\n INTEGER, DIMENSION(SIZE(map2_2d)) :: dims2_nd_prv\n INTEGER, DIMENSION(SIZE(map1_2d) + SIZE(map2_2d)) :: dims_nd_prv\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_nd_mp_comm'\n TYPE(dbcsr_t_pgrid_type) :: dbcsr_t_nd_mp_comm\n\n CALL timeset(routineN, handle)\n\n ndim1 = SIZE(map1_2d); ndim2 = SIZE(map2_2d)\n\n IF (PRESENT(pdims_2d)) THEN\n dims_2d(:) = pdims_2d\n ELSE\n CALL mp_environ(numtask, dims_2d, task_coor, comm_2d)\n END IF\n\n IF (.NOT. PRESENT(dims_nd)) THEN\n dims1_nd_prv = 0; dims2_nd_prv = 0\n IF (PRESENT(dims1_nd)) THEN\n dims1_nd_prv(:) = dims1_nd\n ELSE\n\n IF (PRESENT(tdims)) THEN\n CALL dbcsr_t_mp_dims_create(dims_2d(1), dims1_nd_prv, tdims(map1_2d))\n ELSE\n CALL mp_dims_create(dims_2d(1), dims1_nd_prv)\n END IF\n END IF\n\n IF (PRESENT(dims2_nd)) THEN\n dims2_nd_prv(:) = dims2_nd\n ELSE\n IF (PRESENT(tdims)) THEN\n CALL dbcsr_t_mp_dims_create(dims_2d(2), dims2_nd_prv, tdims(map2_2d))\n ELSE\n CALL mp_dims_create(dims_2d(2), dims2_nd_prv)\n END IF\n END IF\n dims_nd_prv(map1_2d) = dims1_nd_prv\n dims_nd_prv(map2_2d) = dims2_nd_prv\n ELSE\n DBCSR_ASSERT(PRODUCT(dims_nd(map1_2d)) == dims_2d(1))\n DBCSR_ASSERT(PRODUCT(dims_nd(map2_2d)) == dims_2d(2))\n dims_nd_prv = dims_nd\n END IF\n\n CALL dbcsr_t_pgrid_create_expert(comm_2d, dims_nd_prv, dbcsr_t_nd_mp_comm, &\n tensor_dims=tdims, map1_2d=map1_2d, map2_2d=map2_2d, nsplit=nsplit, dimsplit=dimsplit)\n\n CALL timestop(handle)\n\n END FUNCTION\n\n RECURSIVE SUBROUTINE dbcsr_t_mp_dims_create(nodes, dims, tensor_dims, lb_ratio)\n !! Create process grid dimensions corresponding to one dimension of the matrix representation\n !! of a tensor, imposing that no process grid dimension is greater than the corresponding\n !! tensor dimension.\n\n INTEGER, INTENT(IN) :: nodes\n !! Total number of nodes available for this matrix dimension\n INTEGER, DIMENSION(:), INTENT(INOUT) :: dims\n !! process grid dimension corresponding to tensor_dims\n INTEGER, DIMENSION(:), INTENT(IN) :: tensor_dims\n !! tensor dimensions\n REAL(real_8), INTENT(IN), OPTIONAL :: lb_ratio\n !! load imbalance acceptance factor\n\n INTEGER, DIMENSION(:), ALLOCATABLE :: tensor_dims_sorted, sort_indices, dims_store\n REAL(real_8), DIMENSION(:), ALLOCATABLE :: sort_key\n INTEGER :: pdims_rem, idim, pdim\n REAL(real_8) :: lb_ratio_prv\n\n IF (PRESENT(lb_ratio)) THEN\n lb_ratio_prv = lb_ratio\n ELSE\n lb_ratio_prv = 0.1_real_8\n END IF\n\n CALL allocate_any(dims_store, source=dims)\n\n ! get default process grid dimensions\n IF (any(dims == 0)) THEN\n CALL mp_dims_create(nodes, dims)\n END IF\n\n ! sort dimensions such that problematic grid dimensions (those who should be corrected) come first\n ALLOCATE (sort_key(SIZE(tensor_dims)))\n sort_key(:) = REAL(tensor_dims, real_8)/dims\n\n CALL allocate_any(tensor_dims_sorted, source=tensor_dims)\n ALLOCATE (sort_indices(SIZE(sort_key)))\n CALL sort(sort_key, SIZE(sort_key), sort_indices)\n tensor_dims_sorted(:) = tensor_dims_sorted(sort_indices)\n dims(:) = dims(sort_indices)\n\n ! remaining number of nodes\n pdims_rem = nodes\n\n DO idim = 1, SIZE(tensor_dims_sorted)\n IF (.NOT. accept_pdims_loadbalancing(pdims_rem, dims(idim), tensor_dims_sorted(idim), lb_ratio_prv)) THEN\n pdim = tensor_dims_sorted(idim)\n DO WHILE (.NOT. accept_pdims_loadbalancing(pdims_rem, pdim, tensor_dims_sorted(idim), lb_ratio_prv))\n pdim = pdim - 1\n END DO\n dims(idim) = pdim\n pdims_rem = pdims_rem/dims(idim)\n\n IF (idim .NE. SIZE(tensor_dims_sorted)) THEN\n dims(idim + 1:) = 0\n CALL mp_dims_create(pdims_rem, dims(idim + 1:))\n ELSEIF (lb_ratio_prv < 0.5_real_8) THEN\n ! resort to a less strict load imbalance factor\n dims(:) = dims_store\n CALL dbcsr_t_mp_dims_create(nodes, dims, tensor_dims, 0.5_real_8)\n RETURN\n ELSE\n ! resort to default process grid dimensions\n dims(:) = dims_store\n CALL mp_dims_create(nodes, dims)\n RETURN\n END IF\n\n ELSE\n pdims_rem = pdims_rem/dims(idim)\n END IF\n END DO\n\n dims(sort_indices) = dims\n\n END SUBROUTINE\n\n PURE FUNCTION accept_pdims_loadbalancing(pdims_avail, pdim, tdim, lb_ratio)\n !! load balancing criterion whether to accept process grid dimension based on total number of\n !! cores and tensor dimension\n INTEGER, INTENT(IN) :: pdims_avail\n !! available process grid dimensions (total number of cores)\n INTEGER, INTENT(IN) :: pdim\n !! process grid dimension to test\n INTEGER, INTENT(IN) :: tdim\n !! tensor dimension corresponding to pdim\n REAL(real_8), INTENT(IN) :: lb_ratio\n !! load imbalance acceptance factor\n LOGICAL :: accept_pdims_loadbalancing\n\n accept_pdims_loadbalancing = .FALSE.\n IF (MOD(pdims_avail, pdim) == 0) THEN\n IF (REAL(tdim, real_8)*lb_ratio < REAL(pdim, real_8)) THEN\n IF (MOD(tdim, pdim) == 0) accept_pdims_loadbalancing = .TRUE.\n ELSE\n accept_pdims_loadbalancing = .TRUE.\n END IF\n END IF\n\n END FUNCTION\n\n SUBROUTINE dbcsr_t_nd_mp_free(mp_comm)\n !! Release the MPI communicator.\n TYPE(mp_comm_type), INTENT(INOUT) :: mp_comm\n\n CALL mp_comm_free(mp_comm)\n END SUBROUTINE dbcsr_t_nd_mp_free\n\n SUBROUTINE dbcsr_t_distribution_new(dist, pgrid, ${varlist(\"nd_dist\")}$)\n !! Create a tensor distribution.\n TYPE(dbcsr_t_distribution_type), INTENT(OUT) :: dist\n TYPE(dbcsr_t_pgrid_type), INTENT(IN) :: pgrid\n !! process grid\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"nd_dist\")}$\n !! distribution vectors for all tensor dimensions\n INTEGER, DIMENSION(ndims_mapping_row(pgrid%nd_index_grid)) :: map1_2d\n INTEGER, DIMENSION(ndims_mapping_column(pgrid%nd_index_grid)) :: map2_2d\n INTEGER :: ndims\n\n CALL dbcsr_t_get_mapping_info(pgrid%nd_index_grid, map1_2d=map1_2d, map2_2d=map2_2d, ndim_nd=ndims)\n\n CALL dbcsr_t_distribution_new_expert(dist, pgrid, map1_2d, map2_2d, ${varlist(\"nd_dist\")}$)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_distribution_new_expert(dist, pgrid, map1_2d, map2_2d, ${varlist(\"nd_dist\")}$, own_comm)\n !! Create a tensor distribution.\n TYPE(dbcsr_t_distribution_type), INTENT(OUT) :: dist\n TYPE(dbcsr_t_pgrid_type), INTENT(IN) :: pgrid\n !! process grid\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d\n !! which nd-indices map to first matrix index and in which order\n INTEGER, DIMENSION(:), INTENT(IN) :: map2_2d\n !! which nd-indices map to second matrix index and in which order\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"nd_dist\")}$\n LOGICAL, INTENT(IN), OPTIONAL :: own_comm\n !! whether distribution should own communicator\n INTEGER :: ndims\n TYPE(mp_comm_type) :: comm_2d\n INTEGER, DIMENSION(2) :: pdims_2d_check, &\n pdims_2d, task_coor_2d\n INTEGER, DIMENSION(SIZE(map1_2d) + SIZE(map2_2d)) :: dims, nblks_nd, task_coor\n LOGICAL, DIMENSION(2) :: periods_2d\n TYPE(array_list) :: nd_dist\n TYPE(nd_to_2d_mapping) :: map_blks, map_grid\n INTEGER :: handle\n TYPE(dbcsr_tas_dist_t) :: row_dist_obj, col_dist_obj\n TYPE(dbcsr_t_pgrid_type) :: pgrid_prv\n LOGICAL :: need_pgrid_remap\n INTEGER, DIMENSION(ndims_mapping_row(pgrid%nd_index_grid)) :: map1_2d_check\n INTEGER, DIMENSION(ndims_mapping_column(pgrid%nd_index_grid)) :: map2_2d_check\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_distribution_new'\n\n CALL timeset(routineN, handle)\n ndims = SIZE(map1_2d) + SIZE(map2_2d)\n DBCSR_ASSERT(ndims .GE. 2 .AND. ndims .LE. ${maxdim}$)\n\n CALL create_array_list(nd_dist, ndims, ${varlist(\"nd_dist\")}$)\n\n nblks_nd(:) = sizes_of_arrays(nd_dist)\n\n need_pgrid_remap = .TRUE.\n IF (PRESENT(own_comm)) THEN\n CALL dbcsr_t_get_mapping_info(pgrid%nd_index_grid, map1_2d=map1_2d_check, map2_2d=map2_2d_check)\n IF (own_comm) THEN\n IF (.NOT. array_eq_i(map1_2d_check, map1_2d) .OR. .NOT. array_eq_i(map2_2d_check, map2_2d)) THEN\n DBCSR_ABORT(\"map1_2d / map2_2d are not consistent with pgrid\")\n END IF\n pgrid_prv = pgrid\n need_pgrid_remap = .FALSE.\n END IF\n END IF\n\n IF (need_pgrid_remap) CALL dbcsr_t_pgrid_remap(pgrid, map1_2d, map2_2d, pgrid_prv)\n\n ! check that 2d process topology is consistent with nd topology.\n CALL mp_environ_pgrid(pgrid_prv, dims, task_coor)\n\n ! process grid index mapping\n CALL create_nd_to_2d_mapping(map_grid, dims, map1_2d, map2_2d, base=0, col_major=.FALSE.)\n\n ! blk index mapping\n CALL create_nd_to_2d_mapping(map_blks, nblks_nd, map1_2d, map2_2d)\n\n row_dist_obj = dbcsr_tas_dist_t(nd_dist, map_blks, map_grid, 1)\n col_dist_obj = dbcsr_tas_dist_t(nd_dist, map_blks, map_grid, 2)\n\n CALL dbcsr_t_get_mapping_info(map_grid, dims_2d=pdims_2d)\n\n comm_2d = pgrid_prv%mp_comm_2d\n\n CALL mp_environ(comm_2d, 2, pdims_2d_check, task_coor_2d, periods_2d)\n IF (ANY(pdims_2d_check .NE. pdims_2d)) THEN\n DBCSR_ABORT(\"inconsistent process grid dimensions\")\n END IF\n\n IF (ALLOCATED(pgrid_prv%tas_split_info)) THEN\n CALL dbcsr_tas_distribution_new(dist%dist, comm_2d, row_dist_obj, col_dist_obj, split_info=pgrid_prv%tas_split_info)\n ELSE\n CALL dbcsr_tas_distribution_new(dist%dist, comm_2d, row_dist_obj, col_dist_obj)\n ALLOCATE (pgrid_prv%tas_split_info, SOURCE=dist%dist%info)\n CALL dbcsr_tas_info_hold(pgrid_prv%tas_split_info)\n END IF\n\n dist%nd_dist = nd_dist\n dist%pgrid = pgrid_prv\n\n ALLOCATE (dist%refcount)\n dist%refcount = 1\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_distribution_destroy(dist)\n !! Destroy tensor distribution\n TYPE(dbcsr_t_distribution_type), INTENT(INOUT) :: dist\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_distribution_destroy'\n LOGICAL :: abort\n\n CALL timeset(routineN, handle)\n CALL dbcsr_tas_distribution_destroy(dist%dist)\n CALL destroy_array_list(dist%nd_dist)\n\n abort = .FALSE.\n IF (.NOT. ASSOCIATED(dist%refcount)) THEN\n abort = .TRUE.\n ELSEIF (dist%refcount < 1) THEN\n abort = .TRUE.\n END IF\n\n IF (abort) THEN\n DBCSR_ABORT(\"can not destroy non-existing tensor distribution\")\n END IF\n\n dist%refcount = dist%refcount - 1\n\n IF (dist%refcount == 0) THEN\n CALL dbcsr_t_pgrid_destroy(dist%pgrid)\n DEALLOCATE (dist%refcount)\n ELSE\n CALL dbcsr_t_pgrid_destroy(dist%pgrid, keep_comm=.TRUE.)\n END IF\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_distribution_hold(dist)\n !! reference counting for distribution (only needed for communicator handle that must be freed\n !! when no longer needed)\n\n TYPE(dbcsr_t_distribution_type), INTENT(IN) :: dist\n INTEGER, POINTER :: ref\n\n IF (dist%refcount < 1) THEN\n DBCSR_ABORT(\"can not hold non-existing tensor distribution\")\n END IF\n ref => dist%refcount\n ref = ref + 1\n END SUBROUTINE\n\n FUNCTION dbcsr_t_distribution(tensor)\n !! get distribution from tensor\n !! \\return distribution\n\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n TYPE(dbcsr_t_distribution_type) :: dbcsr_t_distribution\n\n CALL dbcsr_tas_get_info(tensor%matrix_rep, distribution=dbcsr_t_distribution%dist)\n dbcsr_t_distribution%pgrid = tensor%pgrid\n dbcsr_t_distribution%nd_dist = tensor%nd_dist\n dbcsr_t_distribution%refcount => dbcsr_t_distribution%refcount\n END FUNCTION\n\n SUBROUTINE dbcsr_t_create_new(tensor, name, dist, map1_2d, map2_2d, data_type, &\n ${varlist(\"blk_size\")}$)\n !! create a tensor.\n !! For performance, the arguments map1_2d and map2_2d (controlling matrix representation of tensor) should be\n !! consistent with the the contraction to be performed (see documentation of dbcsr_t_contract).\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor\n CHARACTER(len=*), INTENT(IN) :: name\n TYPE(dbcsr_t_distribution_type), INTENT(INOUT) :: dist\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d\n !! which nd-indices to map to first 2d index and in which order\n INTEGER, DIMENSION(:), INTENT(IN) :: map2_2d\n !! which nd-indices to map to first 2d index and in which order\n INTEGER, INTENT(IN), OPTIONAL :: data_type\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: ${varlist(\"blk_size\")}$\n !! blk sizes in each dimension\n INTEGER :: ndims\n INTEGER(KIND=int_8), DIMENSION(2) :: dims_2d\n INTEGER, DIMENSION(SIZE(map1_2d) + SIZE(map2_2d)) :: dims, pdims, task_coor\n TYPE(dbcsr_tas_blk_size_t) :: col_blk_size_obj, row_blk_size_obj\n TYPE(dbcsr_t_distribution_type) :: dist_new\n TYPE(array_list) :: blk_size, blks_local\n TYPE(nd_to_2d_mapping) :: map\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_create_new'\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"blks_local\")}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"dist\")}$\n INTEGER :: iblk_count, iblk\n INTEGER, DIMENSION(:), ALLOCATABLE :: nblks_local, nfull_local\n\n CALL timeset(routineN, handle)\n ndims = SIZE(map1_2d) + SIZE(map2_2d)\n CALL create_array_list(blk_size, ndims, ${varlist(\"blk_size\")}$)\n dims = sizes_of_arrays(blk_size)\n\n CALL create_nd_to_2d_mapping(map, dims, map1_2d, map2_2d)\n CALL dbcsr_t_get_mapping_info(map, dims_2d_i8=dims_2d)\n\n row_blk_size_obj = dbcsr_tas_blk_size_t(blk_size, map, 1)\n col_blk_size_obj = dbcsr_tas_blk_size_t(blk_size, map, 2)\n\n CALL dbcsr_t_distribution_remap(dist, map1_2d, map2_2d, dist_new)\n\n ALLOCATE (tensor%matrix_rep)\n CALL dbcsr_tas_create(matrix=tensor%matrix_rep, &\n name=TRIM(name)//\" matrix\", &\n dist=dist_new%dist, &\n row_blk_size=row_blk_size_obj, &\n col_blk_size=col_blk_size_obj, &\n data_type=data_type)\n\n tensor%owns_matrix = .TRUE.\n\n tensor%nd_index_blk = map\n tensor%name = name\n\n CALL dbcsr_tas_finalize(tensor%matrix_rep)\n CALL destroy_nd_to_2d_mapping(map)\n\n ! map element-wise tensor index\n CALL create_nd_to_2d_mapping(map, sum_of_arrays(blk_size), map1_2d, map2_2d)\n tensor%nd_index = map\n tensor%blk_sizes = blk_size\n\n CALL mp_environ_pgrid(dist_new%pgrid, pdims, task_coor)\n\n #:for ndim in range(1, maxdim+1)\n IF (ndims == ${ndim}$) THEN\n CALL get_arrays(dist_new%nd_dist, ${varlist(\"dist\", nmax=ndim)}$)\n END IF\n #:endfor\n\n ALLOCATE (nblks_local(ndims))\n ALLOCATE (nfull_local(ndims))\n nfull_local(:) = 0\n #:for idim in range(1, maxdim+1)\n IF (ndims .GE. ${idim}$) THEN\n nblks_local(${idim}$) = COUNT(dist_${idim}$ == task_coor(${idim}$))\n ALLOCATE (blks_local_${idim}$ (nblks_local(${idim}$)))\n iblk_count = 0\n DO iblk = 1, SIZE(dist_${idim}$)\n IF (dist_${idim}$ (iblk) == task_coor(${idim}$)) THEN\n iblk_count = iblk_count + 1\n blks_local_${idim}$ (iblk_count) = iblk\n nfull_local(${idim}$) = nfull_local(${idim}$) + blk_size_${idim}$ (iblk)\n END IF\n END DO\n END IF\n #:endfor\n\n #:for ndim in range(1, maxdim+1)\n IF (ndims == ${ndim}$) THEN\n CALL create_array_list(blks_local, ${ndim}$, ${varlist(\"blks_local\", nmax=ndim)}$)\n END IF\n #:endfor\n\n ALLOCATE (tensor%nblks_local(ndims))\n ALLOCATE (tensor%nfull_local(ndims))\n tensor%nblks_local(:) = nblks_local\n tensor%nfull_local(:) = nfull_local\n\n tensor%blks_local = blks_local\n\n tensor%nd_dist = dist_new%nd_dist\n tensor%pgrid = dist_new%pgrid\n\n CALL dbcsr_t_distribution_hold(dist_new)\n tensor%refcount => dist_new%refcount\n CALL dbcsr_t_distribution_destroy(dist_new)\n\n CALL array_offsets(tensor%blk_sizes, tensor%blk_offsets)\n\n tensor%valid = .TRUE.\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_hold(tensor)\n !! reference counting for tensors (only needed for communicator handle that must be freed\n !! when no longer needed)\n\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, POINTER :: ref\n\n IF (tensor%refcount < 1) THEN\n DBCSR_ABORT(\"can not hold non-existing tensor\")\n END IF\n ref => tensor%refcount\n ref = ref + 1\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_create_template(tensor_in, tensor, name, dist, map1_2d, map2_2d, data_type)\n !! create a tensor from template\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_in\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: name\n TYPE(dbcsr_t_distribution_type), &\n INTENT(INOUT), OPTIONAL :: dist\n INTEGER, DIMENSION(:), INTENT(IN), &\n OPTIONAL :: map1_2d, map2_2d\n INTEGER, INTENT(IN), OPTIONAL :: data_type\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_create_template'\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"bsize\")}$\n INTEGER, DIMENSION(:), ALLOCATABLE :: map1_2d_prv, map2_2d_prv\n CHARACTER(len=default_string_length) :: name_prv\n TYPE(dbcsr_t_distribution_type) :: dist_prv\n INTEGER :: data_type_prv\n\n CALL timeset(routineN, handle)\n\n IF (PRESENT(dist) .OR. PRESENT(map1_2d) .OR. PRESENT(map2_2d)) THEN\n ! need to create matrix representation from scratch\n IF (PRESENT(dist)) THEN\n dist_prv = dist\n ELSE\n dist_prv = dbcsr_t_distribution(tensor_in)\n END IF\n IF (PRESENT(map1_2d) .AND. PRESENT(map2_2d)) THEN\n CALL allocate_any(map1_2d_prv, source=map1_2d)\n CALL allocate_any(map2_2d_prv, source=map2_2d)\n ELSE\n ALLOCATE (map1_2d_prv(ndims_matrix_row(tensor_in)))\n ALLOCATE (map2_2d_prv(ndims_matrix_column(tensor_in)))\n CALL dbcsr_t_get_mapping_info(tensor_in%nd_index_blk, map1_2d=map1_2d_prv, map2_2d=map2_2d_prv)\n END IF\n IF (PRESENT(name)) THEN\n name_prv = name\n ELSE\n name_prv = tensor_in%name\n END IF\n IF (PRESENT(data_type)) THEN\n data_type_prv = data_type\n ELSE\n data_type_prv = dbcsr_t_get_data_type(tensor_in)\n END IF\n #:for ndim in range(1, maxdim+1)\n IF (ndims_tensor(tensor_in) == ${ndim}$) THEN\n CALL get_arrays(tensor_in%blk_sizes, ${varlist(\"bsize\", nmax=ndim)}$)\n CALL dbcsr_t_create(tensor, name_prv, dist_prv, map1_2d_prv, map2_2d_prv, &\n data_type_prv, ${varlist(\"bsize\", nmax=ndim)}$)\n END IF\n #:endfor\n ELSE\n ! create matrix representation from template\n ALLOCATE (tensor%matrix_rep)\n IF (.NOT. PRESENT(name)) THEN\n CALL dbcsr_tas_create(tensor_in%matrix_rep, tensor%matrix_rep, &\n name=TRIM(tensor_in%name)//\" matrix\", data_type=data_type)\n ELSE\n CALL dbcsr_tas_create(tensor_in%matrix_rep, tensor%matrix_rep, name=TRIM(name)//\" matrix\", data_type=data_type)\n END IF\n tensor%owns_matrix = .TRUE.\n CALL dbcsr_tas_finalize(tensor%matrix_rep)\n\n tensor%nd_index_blk = tensor_in%nd_index_blk\n tensor%nd_index = tensor_in%nd_index\n tensor%blk_sizes = tensor_in%blk_sizes\n tensor%blk_offsets = tensor_in%blk_offsets\n tensor%nd_dist = tensor_in%nd_dist\n tensor%blks_local = tensor_in%blks_local\n ALLOCATE (tensor%nblks_local(ndims_tensor(tensor_in)))\n tensor%nblks_local(:) = tensor_in%nblks_local\n ALLOCATE (tensor%nfull_local(ndims_tensor(tensor_in)))\n tensor%nfull_local(:) = tensor_in%nfull_local\n tensor%pgrid = tensor_in%pgrid\n\n tensor%refcount => tensor_in%refcount\n CALL dbcsr_t_hold(tensor)\n\n tensor%valid = .TRUE.\n IF (PRESENT(name)) THEN\n tensor%name = name\n ELSE\n tensor%name = tensor_in%name\n END IF\n END IF\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_create_matrix(matrix_in, tensor, order, name)\n !! Create 2-rank tensor from matrix.\n TYPE(dbcsr_type), INTENT(IN) :: matrix_in\n TYPE(dbcsr_t_type), INTENT(OUT) :: tensor\n INTEGER, DIMENSION(2), INTENT(IN), OPTIONAL :: order\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: name\n\n CHARACTER(len=default_string_length) :: name_in\n INTEGER, DIMENSION(2) :: order_in\n INTEGER :: comm_2d_handle, data_type\n TYPE(dbcsr_distribution_type) :: matrix_dist\n TYPE(dbcsr_t_distribution_type) :: dist\n INTEGER, DIMENSION(:), POINTER :: row_blk_size, col_blk_size\n INTEGER, DIMENSION(:), POINTER :: col_dist, row_dist\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_create_matrix'\n TYPE(dbcsr_t_pgrid_type) :: comm_nd\n INTEGER, DIMENSION(2) :: pdims_2d\n TYPE(mp_comm_type) :: comm_2d\n\n CALL timeset(routineN, handle)\n\n NULLIFY (row_blk_size, col_blk_size, col_dist, row_dist)\n IF (PRESENT(name)) THEN\n name_in = name\n ELSE\n CALL dbcsr_get_info(matrix_in, name=name_in)\n END IF\n\n IF (PRESENT(order)) THEN\n order_in = order\n ELSE\n order_in = [1, 2]\n END IF\n\n CALL dbcsr_get_info(matrix_in, distribution=matrix_dist)\n CALL dbcsr_distribution_get(matrix_dist, group=comm_2d_handle, row_dist=row_dist, col_dist=col_dist, &\n nprows=pdims_2d(1), npcols=pdims_2d(2))\n CALL comm_2d%set_handle(comm_2d_handle)\n comm_nd = dbcsr_t_nd_mp_comm(comm_2d, [order_in(1)], [order_in(2)], pdims_2d=pdims_2d)\n\n CALL dbcsr_t_distribution_new_expert( &\n dist, &\n comm_nd, &\n [order_in(1)], [order_in(2)], &\n row_dist, col_dist, own_comm=.TRUE.)\n\n CALL dbcsr_get_info(matrix_in, &\n data_type=data_type, &\n row_blk_size=row_blk_size, &\n col_blk_size=col_blk_size)\n\n CALL dbcsr_t_create_new(tensor, name_in, dist, &\n [order_in(1)], [order_in(2)], &\n data_type, &\n row_blk_size, &\n col_blk_size)\n\n CALL dbcsr_t_distribution_destroy(dist)\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_destroy(tensor)\n !! Destroy a tensor\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n INTEGER :: handle\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_destroy'\n LOGICAL :: abort\n\n CALL timeset(routineN, handle)\n IF (tensor%owns_matrix) THEN\n CALL dbcsr_tas_destroy(tensor%matrix_rep)\n DEALLOCATE (tensor%matrix_rep)\n ELSE\n NULLIFY (tensor%matrix_rep)\n END IF\n tensor%owns_matrix = .FALSE.\n\n CALL destroy_nd_to_2d_mapping(tensor%nd_index_blk)\n CALL destroy_nd_to_2d_mapping(tensor%nd_index)\n !CALL destroy_nd_to_2d_mapping(tensor%nd_index_grid)\n CALL destroy_array_list(tensor%blk_sizes)\n CALL destroy_array_list(tensor%blk_offsets)\n CALL destroy_array_list(tensor%nd_dist)\n CALL destroy_array_list(tensor%blks_local)\n\n DEALLOCATE (tensor%nblks_local, tensor%nfull_local)\n\n abort = .FALSE.\n IF (.NOT. ASSOCIATED(tensor%refcount)) THEN\n abort = .TRUE.\n ELSEIF (tensor%refcount < 1) THEN\n abort = .TRUE.\n END IF\n\n IF (abort) THEN\n DBCSR_ABORT(\"can not destroy non-existing tensor\")\n END IF\n\n tensor%refcount = tensor%refcount - 1\n\n IF (tensor%refcount == 0) THEN\n CALL dbcsr_t_pgrid_destroy(tensor%pgrid)\n !CALL mp_comm_free(tensor%comm_2d)\n !CALL mp_comm_free(tensor%comm_nd)\n DEALLOCATE (tensor%refcount)\n ELSE\n CALL dbcsr_t_pgrid_destroy(tensor%pgrid, keep_comm=.TRUE.)\n END IF\n\n tensor%valid = .FALSE.\n tensor%name = \"\"\n CALL timestop(handle)\n END SUBROUTINE\n\n PURE FUNCTION dbcsr_t_nblks_total(tensor, idim)\n !! total numbers of blocks along dimension idim\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, INTENT(IN) :: idim\n INTEGER :: dbcsr_t_nblks_total\n\n IF (idim > ndims_tensor(tensor)) THEN\n dbcsr_t_nblks_total = 0\n ELSE\n dbcsr_t_nblks_total = tensor%nd_index_blk%dims_nd(idim)\n END IF\n END FUNCTION\n\n PURE FUNCTION dbcsr_t_nblks_local(tensor, idim)\n !! local number of blocks along dimension idim\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, INTENT(IN) :: idim\n INTEGER :: dbcsr_t_nblks_local\n\n IF (idim > ndims_tensor(tensor)) THEN\n dbcsr_t_nblks_local = 0\n ELSE\n dbcsr_t_nblks_local = tensor%nblks_local(idim)\n END IF\n\n END FUNCTION\n\n PURE FUNCTION ndims_tensor(tensor)\n !! tensor rank\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER :: ndims_tensor\n\n ndims_tensor = tensor%nd_index%ndim_nd\n END FUNCTION\n\n SUBROUTINE dims_tensor(tensor, dims)\n !! tensor dimensions\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(OUT) :: dims\n\n DBCSR_ASSERT(tensor%valid)\n dims = tensor%nd_index%dims_nd\n END SUBROUTINE\n\n SUBROUTINE blk_dims_tensor(tensor, dims)\n !! tensor block dimensions\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(OUT) :: dims\n\n DBCSR_ASSERT(tensor%valid)\n dims = tensor%nd_index_blk%dims_nd\n END SUBROUTINE\n\n FUNCTION dbcsr_t_get_data_type(tensor) RESULT(data_type)\n !! tensor data type\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER :: data_type\n\n data_type = dbcsr_tas_get_data_type(tensor%matrix_rep)\n END FUNCTION\n\n SUBROUTINE dbcsr_t_blk_sizes(tensor, ind, blk_size)\n !! Size of tensor block\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(IN) :: ind\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(OUT) :: blk_size\n\n blk_size(:) = get_array_elements(tensor%blk_sizes, ind)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_blk_offsets(tensor, ind, blk_offset)\n !! offset of tensor block\n\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(IN) :: ind\n !! block index\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(OUT) :: blk_offset\n !! block offset\n\n DBCSR_ASSERT(tensor%valid)\n blk_offset(:) = get_array_elements(tensor%blk_offsets, ind)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_get_stored_coordinates(tensor, ind_nd, processor)\n !! Generalization of dbcsr_get_stored_coordinates for tensors.\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(IN) :: ind_nd\n INTEGER, INTENT(OUT) :: processor\n\n INTEGER(KIND=int_8), DIMENSION(2) :: ind_2d\n\n ind_2d(:) = get_2d_indices_tensor(tensor%nd_index_blk, ind_nd)\n CALL dbcsr_tas_get_stored_coordinates(tensor%matrix_rep, ind_2d(1), ind_2d(2), processor)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_pgrid_create(mp_comm, dims, pgrid, tensor_dims)\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n INTEGER, DIMENSION(:), INTENT(INOUT) :: dims\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT) :: pgrid\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: tensor_dims\n INTEGER, DIMENSION(:), ALLOCATABLE :: map1_2d, map2_2d\n INTEGER :: i, ndims\n\n ndims = SIZE(dims)\n\n ALLOCATE (map1_2d(ndims/2))\n ALLOCATE (map2_2d(ndims - ndims/2))\n map1_2d(:) = (/(i, i=1, SIZE(map1_2d))/)\n map2_2d(:) = (/(i, i=SIZE(map1_2d) + 1, SIZE(map1_2d) + SIZE(map2_2d))/)\n\n CALL dbcsr_t_pgrid_create_expert(mp_comm, dims, pgrid, map1_2d, map2_2d, tensor_dims)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_pgrid_create_expert(mp_comm, dims, pgrid, map1_2d, map2_2d, tensor_dims, nsplit, dimsplit)\n !! Create an n-dimensional process grid.\n !! We can not use a n-dimensional MPI cartesian grid for tensors since the mapping between\n !! n-dim. and 2-dim. index allows for an arbitrary reordering of tensor index. Therefore we can not\n !! use n-dim. MPI Cartesian grid because it may not be consistent with the respective 2d grid.\n !! The 2d Cartesian MPI grid is the reference grid (since tensor data is stored as DBCSR matrix)\n !! and this routine creates an object that is a n-dim. interface to this grid.\n !! map1_2d and map2_2d don't need to be specified (correctly), grid may be redefined in dbcsr_t_distribution_new\n !! Note that pgrid is equivalent to a MPI cartesian grid only if map1_2d and map2_2d don't reorder indices\n !! (which is the case if [map1_2d, map2_2d] == [1, 2, ..., ndims]). Otherwise the mapping of grid\n !! coordinates to processes depends on the ordering of the indices and is not equivalent to a MPI\n !! cartesian grid.\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_comm\n !! simple MPI Communicator\n INTEGER, DIMENSION(:), INTENT(INOUT) :: dims\n !! grid dimensions - if entries are 0, dimensions are chosen automatically.\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT) :: pgrid\n !! n-dimensional grid object\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d, map2_2d\n !! which nd-indices map to first matrix index and in which order\n !! which nd-indices map to first matrix index and in which order\n INTEGER, DIMENSION(:), INTENT(IN), OPTIONAL :: tensor_dims\n !! tensor block dimensions. If present, process grid dimensions are created such that good\n !! load balancing is ensured even if some of the tensor dimensions are small (i.e. on the same order\n !! or smaller than nproc**(1/ndim) where ndim is the tensor rank)\n INTEGER, INTENT(IN), OPTIONAL :: nsplit, dimsplit\n !! impose a constant split factor\n !! which matrix dimension to split\n INTEGER :: nproc, iproc, ndims, handle\n INTEGER, DIMENSION(2) :: pdims_2d, pos\n TYPE(dbcsr_tas_split_info) :: info\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'dbcsr_t_pgrid_create'\n\n CALL timeset(routineN, handle)\n\n ndims = SIZE(dims)\n\n CALL mp_environ(nproc, iproc, mp_comm)\n IF (ANY(dims == 0)) THEN\n IF (.NOT. PRESENT(tensor_dims)) THEN\n CALL mp_dims_create(nproc, dims)\n ELSE\n CALL dbcsr_t_mp_dims_create(nproc, dims, tensor_dims)\n END IF\n END IF\n CALL create_nd_to_2d_mapping(pgrid%nd_index_grid, dims, map1_2d, map2_2d, base=0, col_major=.FALSE.)\n CALL dbcsr_t_get_mapping_info(pgrid%nd_index_grid, dims_2d=pdims_2d)\n CALL mp_cart_create(mp_comm, 2, pdims_2d, pos, pgrid%mp_comm_2d)\n\n IF (PRESENT(nsplit)) THEN\n DBCSR_ASSERT(PRESENT(dimsplit))\n CALL dbcsr_tas_create_split(info, pgrid%mp_comm_2d, dimsplit, nsplit, opt_nsplit=.FALSE.)\n ALLOCATE (pgrid%tas_split_info, SOURCE=info)\n END IF\n\n ! store number of MPI ranks because we need it for PURE function dbcsr_t_max_nblks_local\n pgrid%nproc = nproc\n\n CALL timestop(handle)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_pgrid_destroy(pgrid, keep_comm)\n !! destroy process grid\n\n TYPE(dbcsr_t_pgrid_type), INTENT(INOUT) :: pgrid\n LOGICAL, INTENT(IN), OPTIONAL :: keep_comm\n !! if .TRUE. communicator is not freed\n LOGICAL :: keep_comm_prv\n IF (PRESENT(keep_comm)) THEN\n keep_comm_prv = keep_comm\n ELSE\n keep_comm_prv = .FALSE.\n END IF\n IF (.NOT. keep_comm_prv) CALL mp_comm_free(pgrid%mp_comm_2d)\n CALL destroy_nd_to_2d_mapping(pgrid%nd_index_grid)\n IF (ALLOCATED(pgrid%tas_split_info) .AND. .NOT. keep_comm_prv) THEN\n CALL dbcsr_tas_release_info(pgrid%tas_split_info)\n DEALLOCATE (pgrid%tas_split_info)\n END IF\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_pgrid_set_strict_split(pgrid)\n !! freeze current split factor such that it is never changed during contraction\n TYPE(dbcsr_t_pgrid_type), INTENT(INOUT) :: pgrid\n IF (ALLOCATED(pgrid%tas_split_info)) CALL dbcsr_tas_set_strict_split(pgrid%tas_split_info)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_pgrid_remap(pgrid_in, map1_2d, map2_2d, pgrid_out)\n !! remap a process grid (needed when mapping between tensor and matrix index is changed)\n\n TYPE(dbcsr_t_pgrid_type), INTENT(IN) :: pgrid_in\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d, map2_2d\n !! new mapping\n !! new mapping\n TYPE(dbcsr_t_pgrid_type), INTENT(OUT) :: pgrid_out\n INTEGER, DIMENSION(:), ALLOCATABLE :: dims\n INTEGER, DIMENSION(ndims_mapping_row(pgrid_in%nd_index_grid)) :: map1_2d_old\n INTEGER, DIMENSION(ndims_mapping_column(pgrid_in%nd_index_grid)) :: map2_2d_old\n\n ALLOCATE (dims(SIZE(map1_2d) + SIZE(map2_2d)))\n CALL dbcsr_t_get_mapping_info(pgrid_in%nd_index_grid, dims_nd=dims, map1_2d=map1_2d_old, map2_2d=map2_2d_old)\n CALL dbcsr_t_pgrid_create_expert(pgrid_in%mp_comm_2d, dims, pgrid_out, map1_2d=map1_2d, map2_2d=map2_2d)\n IF (array_eq_i(map1_2d_old, map1_2d) .AND. array_eq_i(map2_2d_old, map2_2d)) THEN\n IF (ALLOCATED(pgrid_in%tas_split_info)) THEN\n ALLOCATE (pgrid_out%tas_split_info, SOURCE=pgrid_in%tas_split_info)\n CALL dbcsr_tas_info_hold(pgrid_out%tas_split_info)\n END IF\n END IF\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_pgrid_change_dims(pgrid, pdims)\n !! change dimensions of an existing process grid.\n\n TYPE(dbcsr_t_pgrid_type), INTENT(INOUT) :: pgrid\n !! process grid to be changed\n INTEGER, DIMENSION(:), INTENT(INOUT) :: pdims\n !! new process grid dimensions, should all be set > 0\n TYPE(dbcsr_t_pgrid_type) :: pgrid_tmp\n INTEGER :: nsplit, dimsplit\n INTEGER, DIMENSION(ndims_mapping_row(pgrid%nd_index_grid)) :: map1_2d\n INTEGER, DIMENSION(ndims_mapping_column(pgrid%nd_index_grid)) :: map2_2d\n TYPe(nd_to_2d_mapping) :: nd_index_grid\n INTEGER, DIMENSION(2) :: pdims_2d\n\n DBCSR_ASSERT(ALL(pdims > 0))\n CALL dbcsr_tas_get_split_info(pgrid%tas_split_info, nsplit=nsplit, split_rowcol=dimsplit)\n CALL dbcsr_t_get_mapping_info(pgrid%nd_index_grid, map1_2d=map1_2d, map2_2d=map2_2d)\n CALL create_nd_to_2d_mapping(nd_index_grid, pdims, map1_2d, map2_2d, base=0, col_major=.FALSE.)\n CALL dbcsr_t_get_mapping_info(nd_index_grid, dims_2d=pdims_2d)\n IF (MOD(pdims_2d(dimsplit), nsplit) == 0) THEN\n CALL dbcsr_t_pgrid_create_expert(pgrid%mp_comm_2d, pdims, pgrid_tmp, map1_2d=map1_2d, map2_2d=map2_2d, &\n nsplit=nsplit, dimsplit=dimsplit)\n ELSE\n CALL dbcsr_t_pgrid_create_expert(pgrid%mp_comm_2d, pdims, pgrid_tmp, map1_2d=map1_2d, map2_2d=map2_2d)\n END IF\n CALL dbcsr_t_pgrid_destroy(pgrid)\n pgrid = pgrid_tmp\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_distribution_remap(dist_in, map1_2d, map2_2d, dist_out)\n TYPE(dbcsr_t_distribution_type), INTENT(IN) :: dist_in\n INTEGER, DIMENSION(:), INTENT(IN) :: map1_2d, map2_2d\n TYPE(dbcsr_t_distribution_type), INTENT(OUT) :: dist_out\n INTEGER, DIMENSION(:), ALLOCATABLE :: ${varlist(\"dist\")}$\n INTEGER :: ndims\n ndims = SIZE(map1_2d) + SIZE(map2_2d)\n #:for ndim in range(1, maxdim+1)\n IF (ndims == ${ndim}$) THEN\n CALL get_arrays(dist_in%nd_dist, ${varlist(\"dist\", nmax=ndim)}$)\n CALL dbcsr_t_distribution_new_expert(dist_out, dist_in%pgrid, map1_2d, map2_2d, ${varlist(\"dist\", nmax=ndim)}$)\n END IF\n #:endfor\n END SUBROUTINE\n\n SUBROUTINE mp_environ_pgrid(pgrid, dims, task_coor)\n !! as mp_environ but for special pgrid type\n TYPE(dbcsr_t_pgrid_type), INTENT(IN) :: pgrid\n INTEGER, DIMENSION(ndims_mapping(pgrid%nd_index_grid)), INTENT(OUT) :: dims\n INTEGER, DIMENSION(ndims_mapping(pgrid%nd_index_grid)), INTENT(OUT) :: task_coor\n INTEGER, DIMENSION(2) :: dims_2d, task_coor_2d\n INTEGER :: nproc\n\n CALL mp_environ(nproc, dims_2d, task_coor_2d, pgrid%mp_comm_2d)\n CALL mp_environ(nproc, dims_2d, task_coor_2d, pgrid%mp_comm_2d)\n CALL dbcsr_t_get_mapping_info(pgrid%nd_index_grid, dims_nd=dims)\n task_coor = get_nd_indices_pgrid(pgrid%nd_index_grid, task_coor_2d)\n END SUBROUTINE\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE dbcsr_t_set_${dsuffix}$ (tensor, alpha)\n !! As dbcsr_set\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n ${dtype}$, INTENT(IN) :: alpha\n CALL dbcsr_tas_set(tensor%matrix_rep, alpha)\n END SUBROUTINE\n #:endfor\n\n #:for dparam, dtype, dsuffix in dtype_float_list\n SUBROUTINE dbcsr_t_filter_${dsuffix}$ (tensor, eps, method, use_absolute)\n !! As dbcsr_filter\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n ${dtype}$, INTENT(IN) :: eps\n INTEGER, INTENT(IN), OPTIONAL :: method\n LOGICAL, INTENT(IN), OPTIONAL :: use_absolute\n\n CALL dbcsr_tas_filter(tensor%matrix_rep, eps, method, use_absolute)\n\n END SUBROUTINE\n #:endfor\n\n SUBROUTINE dbcsr_t_get_info(tensor, nblks_total, &\n nfull_total, &\n nblks_local, &\n nfull_local, &\n pdims, &\n my_ploc, &\n ${varlist(\"blks_local\")}$, &\n ${varlist(\"proc_dist\")}$, &\n ${varlist(\"blk_size\")}$, &\n ${varlist(\"blk_offset\")}$, &\n distribution, &\n name, &\n data_type)\n !! As dbcsr_get_info but for tensors\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, INTENT(OUT), OPTIONAL, DIMENSION(ndims_tensor(tensor)) :: nblks_total\n !! number of blocks along each dimension\n INTEGER, INTENT(OUT), OPTIONAL, DIMENSION(ndims_tensor(tensor)) :: nfull_total\n !! number of elements along each dimension\n INTEGER, INTENT(OUT), OPTIONAL, DIMENSION(ndims_tensor(tensor)) :: nblks_local\n !! local number of blocks along each dimension\n INTEGER, INTENT(OUT), OPTIONAL, DIMENSION(ndims_tensor(tensor)) :: nfull_local\n !! local number of elements along each dimension\n INTEGER, INTENT(OUT), OPTIONAL, DIMENSION(ndims_tensor(tensor)) :: my_ploc\n !! process coordinates in process grid\n INTEGER, INTENT(OUT), OPTIONAL, DIMENSION(ndims_tensor(tensor)) :: pdims\n !! process grid dimensions\n #:for idim in range(1, maxdim+1)\n INTEGER, DIMENSION(dbcsr_t_nblks_local(tensor, ${idim}$)), INTENT(OUT), OPTIONAL :: blks_local_${idim}$\n !! local blocks along dimension ${idim}$\n INTEGER, DIMENSION(dbcsr_t_nblks_total(tensor, ${idim}$)), INTENT(OUT), OPTIONAL :: proc_dist_${idim}$\n !! distribution along dimension ${idim}$\n INTEGER, DIMENSION(dbcsr_t_nblks_total(tensor, ${idim}$)), INTENT(OUT), OPTIONAL :: blk_size_${idim}$\n !! block sizes along dimension ${idim}$\n INTEGER, DIMENSION(dbcsr_t_nblks_total(tensor, ${idim}$)), INTENT(OUT), OPTIONAL :: blk_offset_${idim}$\n !! block offsets along dimension ${idim}$\n #:endfor\n TYPE(dbcsr_t_distribution_type), INTENT(OUT), OPTIONAL :: distribution\n !! distribution object\n CHARACTER(len=*), INTENT(OUT), OPTIONAL :: name\n !! name of tensor\n INTEGER, INTENT(OUT), OPTIONAL :: data_type\n !! data type of tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: pdims_tmp, my_ploc_tmp\n\n IF (PRESENT(nblks_total)) CALL dbcsr_t_get_mapping_info(tensor%nd_index_blk, dims_nd=nblks_total)\n IF (PRESENT(nfull_total)) CALL dbcsr_t_get_mapping_info(tensor%nd_index, dims_nd=nfull_total)\n IF (PRESENT(nblks_local)) nblks_local(:) = tensor%nblks_local\n IF (PRESENT(nfull_local)) nfull_local(:) = tensor%nfull_local\n\n IF (PRESENT(my_ploc) .OR. PRESENT(pdims)) CALL mp_environ_pgrid(tensor%pgrid, pdims_tmp, my_ploc_tmp)\n IF (PRESENT(my_ploc)) my_ploc = my_ploc_tmp\n IF (PRESENT(pdims)) pdims = pdims_tmp\n\n #:for idim in range(1, maxdim+1)\n IF (${idim}$ <= ndims_tensor(tensor)) THEN\n IF (PRESENT(blks_local_${idim}$)) CALL get_ith_array(tensor%blks_local, ${idim}$, &\n dbcsr_t_nblks_local(tensor, ${idim}$), &\n blks_local_${idim}$)\n IF (PRESENT(proc_dist_${idim}$)) CALL get_ith_array(tensor%nd_dist, ${idim}$, &\n dbcsr_t_nblks_total(tensor, ${idim}$), &\n proc_dist_${idim}$)\n IF (PRESENT(blk_size_${idim}$)) CALL get_ith_array(tensor%blk_sizes, ${idim}$, &\n dbcsr_t_nblks_total(tensor, ${idim}$), &\n blk_size_${idim}$)\n IF (PRESENT(blk_offset_${idim}$)) CALL get_ith_array(tensor%blk_offsets, ${idim}$, &\n dbcsr_t_nblks_total(tensor, ${idim}$), &\n blk_offset_${idim}$)\n END IF\n #:endfor\n\n IF (PRESENT(distribution)) distribution = dbcsr_t_distribution(tensor)\n IF (PRESENT(name)) name = tensor%name\n IF (PRESENT(data_type)) data_type = dbcsr_t_get_data_type(tensor)\n\n END SUBROUTINE\n\n PURE FUNCTION dbcsr_t_get_num_blocks(tensor) RESULT(num_blocks)\n !! As dbcsr_get_num_blocks: get number of local blocks\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER :: num_blocks\n num_blocks = dbcsr_tas_get_num_blocks(tensor%matrix_rep)\n END FUNCTION\n\n FUNCTION dbcsr_t_get_num_blocks_total(tensor) RESULT(num_blocks)\n !! Get total number of blocks\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER(KIND=int_8) :: num_blocks\n num_blocks = dbcsr_tas_get_num_blocks_total(tensor%matrix_rep)\n END FUNCTION\n\n FUNCTION dbcsr_t_get_data_size(tensor) RESULT(data_size)\n !! As dbcsr_get_data_size\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER :: data_size\n data_size = dbcsr_tas_get_data_size(tensor%matrix_rep)\n END FUNCTION\n\n SUBROUTINE dbcsr_t_clear(tensor)\n !! Clear tensor (s.t. it does not contain any blocks)\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n\n CALL dbcsr_tas_clear(tensor%matrix_rep)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_finalize(tensor)\n !! Finalize tensor, as dbcsr_finalize. This should be taken care of internally in dbcsr tensors,\n !! there should not be any need to call this routine outside of dbcsr tensors.\n\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n CALL dbcsr_tas_finalize(tensor%matrix_rep)\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_scale(tensor, alpha)\n !! as dbcsr_scale\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor\n TYPE(dbcsr_scalar_type), INTENT(IN) :: alpha\n CALL dbcsr_scale(tensor%matrix_rep%matrix, alpha)\n END SUBROUTINE\n\n PURE FUNCTION dbcsr_t_get_nze(tensor)\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER :: dbcsr_t_get_nze\n dbcsr_t_get_nze = dbcsr_tas_get_nze(tensor%matrix_rep)\n END FUNCTION\n\n FUNCTION dbcsr_t_get_nze_total(tensor)\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER(KIND=int_8) :: dbcsr_t_get_nze_total\n dbcsr_t_get_nze_total = dbcsr_tas_get_nze_total(tensor%matrix_rep)\n END FUNCTION\n\n PURE FUNCTION dbcsr_t_blk_size(tensor, ind, idim)\n !! block size of block with index ind along dimension idim\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER, DIMENSION(ndims_tensor(tensor)), &\n INTENT(IN) :: ind\n INTEGER, INTENT(IN) :: idim\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: blk_size\n INTEGER :: dbcsr_t_blk_size\n\n IF (idim > ndims_tensor(tensor)) THEN\n dbcsr_t_blk_size = 0\n ELSE\n blk_size(:) = get_array_elements(tensor%blk_sizes, ind)\n dbcsr_t_blk_size = blk_size(idim)\n END IF\n END FUNCTION\n\n PURE FUNCTION ndims_matrix_row(tensor)\n !! how many tensor dimensions are mapped to matrix row\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER(int_8) :: ndims_matrix_row\n\n ndims_matrix_row = ndims_mapping_row(tensor%nd_index_blk)\n\n END FUNCTION\n\n PURE FUNCTION ndims_matrix_column(tensor)\n !! how many tensor dimensions are mapped to matrix column\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER(int_8) :: ndims_matrix_column\n\n ndims_matrix_column = ndims_mapping_column(tensor%nd_index_blk)\n END FUNCTION\n\n PURE FUNCTION dbcsr_t_max_nblks_local(tensor) RESULT(blk_count)\n !! returns an estimate of maximum number of local blocks in tensor\n !! (irrespective of the actual number of currently present blocks)\n !! this estimate is based on the following assumption: tensor data is dense and\n !! load balancing is within a factor of 2\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor\n INTEGER :: blk_count, nproc\n INTEGER, DIMENSION(ndims_tensor(tensor)) :: bdims\n INTEGER(int_8) :: blk_count_total\n INTEGER, PARAMETER :: max_load_imbalance = 2\n\n CALL dbcsr_t_get_mapping_info(tensor%nd_index_blk, dims_nd=bdims)\n\n blk_count_total = PRODUCT(INT(bdims, int_8))\n\n ! can not call an MPI routine due to PURE\n !CALL mp_environ(nproc, myproc, tensor%pgrid%mp_comm_2d)\n nproc = tensor%pgrid%nproc\n\n blk_count = INT(blk_count_total/nproc*max_load_imbalance)\n\n END FUNCTION\n\n SUBROUTINE dbcsr_t_default_distvec(nblk, nproc, blk_size, dist)\n !! get a load-balanced and randomized distribution along one tensor dimension\n INTEGER, INTENT(IN) :: nblk\n !! number of blocks (along one tensor dimension)\n INTEGER, INTENT(IN) :: nproc\n !! number of processes (along one process grid dimension)\n INTEGER, DIMENSION(nblk), INTENT(IN) :: blk_size\n !! block sizes\n INTEGER, DIMENSION(nblk), INTENT(OUT) :: dist\n !! distribution\n\n CALL dbcsr_tas_default_distvec(nblk, nproc, blk_size, dist)\n\n END SUBROUTINE\n\n SUBROUTINE dbcsr_t_copy_contraction_storage(tensor_in, tensor_out)\n TYPE(dbcsr_t_type), INTENT(IN) :: tensor_in\n TYPE(dbcsr_t_type), INTENT(INOUT) :: tensor_out\n TYPE(dbcsr_t_contraction_storage), ALLOCATABLE :: tensor_storage_tmp\n TYPE(dbcsr_tas_mm_storage), ALLOCATABLE :: tas_storage_tmp\n\n IF (tensor_in%matrix_rep%do_batched > 0) THEN\n ALLOCATE (tas_storage_tmp, SOURCE=tensor_in%matrix_rep%mm_storage)\n ! transfer data for batched contraction\n IF (ALLOCATED(tensor_out%matrix_rep%mm_storage)) DEALLOCATE (tensor_out%matrix_rep%mm_storage)\n CALL move_alloc(tas_storage_tmp, tensor_out%matrix_rep%mm_storage)\n END IF\n CALL dbcsr_tas_set_batched_state(tensor_out%matrix_rep, state=tensor_in%matrix_rep%do_batched, &\n opt_grid=tensor_in%matrix_rep%has_opt_pgrid)\n IF (ALLOCATED(tensor_in%contraction_storage)) THEN\n ALLOCATE (tensor_storage_tmp, SOURCE=tensor_in%contraction_storage)\n END IF\n IF (ALLOCATED(tensor_out%contraction_storage)) DEALLOCATE (tensor_out%contraction_storage)\n IF (ALLOCATED(tensor_storage_tmp)) CALL move_alloc(tensor_storage_tmp, tensor_out%contraction_storage)\n\n END SUBROUTINE\n\n END MODULE\n" }, { "path": "src/utils/PACKAGE", "content": "{\n\"description\": \"Utilities for DBCSR\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../base\", \"../core\"],\n}\n" }, { "path": "src/utils/dbcsr_array_sort.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include 'dbcsr_array_sort.fypp'\n\nMODULE dbcsr_array_sort\n !! Routine for sorting an array\n !! @note\n !! CP2K:\n !! Please use the interface defined in util.F for calling sort().\n !! DBCSR:\n !! Please use the interface defined in dbcsr_toollib.F for calling sort().\n\n USE dbcsr_kinds, ONLY: ${uselist(usekinds)}$\n\n IMPLICIT NONE\n PRIVATE\n\n LOGICAL, PRIVATE, PARAMETER :: debug_this_module = .FALSE.\n CHARACTER(len=*), PRIVATE, PARAMETER :: moduleN = 'dbcsr_array_sort'\n\n #:for nametype in nametype1\n PUBLIC :: dbcsr_1d_${nametype}$_sort\n #:endfor\n\nCONTAINS\n\n #:for nametype1, type1, lessQ in inst_params\n subroutine dbcsr_1d_${nametype1}$_sort(arr, n, indices)\n !! Sorts an array inplace using a combination of merge- and bubble-sort.\n !! It also returns the indices, which the elements had before the sort.\n\n integer, intent(in) :: n\n !! length of array\n ${type1}$, dimension(1:n), intent(inout) :: arr\n !! the array to sort\n integer, dimension(1:n), intent(out) :: indices\n !! returns elements-indices before the sort\n\n integer :: i\n ${type1}$, pointer, CONTIGUOUS :: tmp_arr(:)\n integer, pointer, CONTIGUOUS :: tmp_idx(:)\n\n if (n == 0) return ! for some reason this is a frequent case in cp2k\n\n ! scratch space used during the merge step\n allocate (tmp_arr((size(arr) + 1)/2), tmp_idx((size(arr) + 1)/2))\n\n indices = (/(i, i=1, size(arr))/)\n\n call dbcsr_1d_${nametype1}$_sort_low(arr(1:n), indices, tmp_arr, tmp_idx)\n\n deallocate (tmp_arr, tmp_idx)\n\n end subroutine dbcsr_1d_${nametype1}$_sort\n\n recursive subroutine dbcsr_1d_${nametype1}$_sort_low(arr, indices, tmp_arr, tmp_idx)\n !! The actual sort routine.\n !! Only dbcsr_1d_${nametype1}$_sort and itself should call this.\n\n ${type1}$, dimension(:), intent(inout) :: arr\n !! the array to sort\n integer, dimension(size(arr)), intent(inout) :: indices\n !! elements-indices before the sort\n ${type1}$, dimension((size(arr) + 1)/2), intent(inout) :: tmp_arr\n !! scratch space\n integer, dimension((size(arr) + 1)/2), intent(inout) :: tmp_idx\n !! scratch space\n ${type1}$ :: a\n integer :: t, m, i, j, k\n LOGICAL :: swapped\n ! a,t: used during swapping of elements in arr and indices\n\n swapped = .TRUE.\n\n ! If only a few elements are left we switch to bubble-sort for efficiency.\n if (size(arr) <= 7) then ! 7 seems to be a good choice for the moment\n DO j = size(arr) - 1, 1, -1\n swapped = .FALSE.\n DO i = 1, j\n IF (@{lessQ(arr(i+1), arr(i))}@) THEN\n ! swap arr(i) with arr(i+1)\n a = arr(i)\n arr(i) = arr(i + 1)\n arr(i + 1) = a\n ! swap indices(i) with indices(i+1)\n t = indices(i)\n indices(i) = indices(i + 1)\n indices(i + 1) = t\n swapped = .true.\n END IF\n END DO\n IF (.NOT. swapped) EXIT\n END DO\n return\n end if\n\n ! split list in half and recursively sort both sublists\n m = (size(arr) + 1)/2 ! index where we going to divide the list in two\n call dbcsr_1d_${nametype1}$_sort_low(arr(1:m), indices(1:m), tmp_arr, tmp_idx)\n call dbcsr_1d_${nametype1}$_sort_low(arr(m + 1:), indices(m + 1:), tmp_arr, tmp_idx)\n\n ! Check for a special case: Can we just concatenate the two sorted sublists?\n ! This leads to O(n) scaling if the input is already sorted.\n if (@{lessQ(arr(m+1), arr(m))}@) then\n ! ...no - let's merge the two sorted sublists arr(:m) and arr(m+1:)\n ! Merge will be performed directly in arr. Need backup of first sublist.\n tmp_arr(1:m) = arr(1:m)\n tmp_idx(1:m) = indices(1:m)\n i = 1; ! number of elements consumed from 1st sublist\n j = 1; ! number of elements consumed from 2nd sublist\n k = 1; ! number of elements already merged\n\n do while (i <= m .and. j <= size(arr) - m)\n if (@{lessQ(arr(m+j), tmp_arr(i))}@) then\n arr(k) = arr(m + j)\n indices(k) = indices(m + j)\n j = j + 1\n else\n arr(k) = tmp_arr(i)\n indices(k) = tmp_idx(i)\n i = i + 1\n end if\n k = k + 1\n end do\n\n ! One of the two sublist is now empty.\n ! Copy possibly remaining tail of 1st sublist\n do while (i <= m)\n arr(k) = tmp_arr(i)\n indices(k) = tmp_idx(i)\n i = i + 1\n k = k + 1\n end do\n\n ! The possibly remaining tail of 2nd sublist is already at the right spot.\n\n end if\n\n end subroutine dbcsr_1d_${nametype1}$_sort_low\n #:endfor\n\nEND MODULE dbcsr_array_sort\n" }, { "path": "src/utils/dbcsr_array_sort.fypp", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n\n#:mute\n\n#:set nametype1 =['d', 's', 'i4', 'i8']\n#:set type1 = ['REAL(kind=real_8)','REAL(kind=real_4)','INTEGER(kind=int_4)','INTEGER(kind=int_8)']\n#:set usekinds = ['real_8', 'real_4', 'int_4', 'int_8']\n\n#:def lessQnum(el1, el2)\n${el1}$ < ${el2}$\n#:enddef\n\n#:set lessQ = [lessQnum, lessQnum, lessQnum, lessQnum]\n\n#:set inst_params = list(zip(nametype1, type1, lessQ))\n\n#:def uselist(list_in)\n#! comma-separated list of unique entries of list_in\n$: \", \".join(list(set(list_in)))\n#:enddef\n\n#:endmute\n" }, { "path": "src/utils/dbcsr_blas_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_blas_operations\n !! Wrappers to BLAS calls.\n USE dbcsr_kinds, ONLY: int_8\n USE dbcsr_types, ONLY: dbcsr_data_obj, &\n dbcsr_type_complex_4, &\n dbcsr_type_complex_8, &\n dbcsr_type_real_4, &\n dbcsr_type_real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_blas_operations'\n\n PUBLIC :: dbcsr_lapack_larnv, set_larnv_seed\n\nCONTAINS\n\n SUBROUTINE set_larnv_seed(irow, nrow, icol, ncol, ival, iseed)\n !! generate a seed respecting the lapack constraints,\n !! - values between 0..4095 (2**12-1)\n !! - iseed(4) odd\n !! also try to avoid iseed that are zero.\n !! Have but with a unique 2D mapping (irow,icol), and a 'mini-seed' ival\n\n INTEGER, INTENT(IN) :: irow, nrow, icol, ncol, ival\n !! 1..nrow\n !! nrow\n !! 1..ncol\n !! ncol\n !! mini-seed\n INTEGER, INTENT(OUT) :: iseed(4)\n !! a lapack compatible seed\n\n INTEGER(KIND=int_8) :: map\n\n map = ((irow - 1 + icol*INT(nrow, int_8))*(1 + MODULO(ival, 2**16)))*2 + 1 + 0*ncol ! ncol used\n iseed(4) = INT(MODULO(map, 2_int_8**12)); map = map/2_int_8**12; ! keep odd\n iseed(3) = INT(MODULO(IEOR(map, 3541_int_8), 2_int_8**12)); map = map/2_int_8**12\n iseed(2) = INT(MODULO(IEOR(map, 1153_int_8), 2_int_8**12)); map = map/2_int_8**12\n iseed(1) = INT(MODULO(IEOR(map, 2029_int_8), 2_int_8**12)); map = map/2_int_8**12\n END SUBROUTINE set_larnv_seed\n\n SUBROUTINE dbcsr_lapack_larnv(idist, iseed, n, x)\n !! fills an array with random numbers\n\n INTEGER, INTENT(IN) :: idist\n !! type of distribution (1..3, see lapack docs)\n INTEGER, DIMENSION(:), INTENT(INOUT) :: iseed\n !! requires each int to be in the range 0..2**12, and the iseed(4) odd\n INTEGER, INTENT(IN) :: n\n TYPE(dbcsr_data_obj), INTENT(INOUT) :: x\n\n SELECT CASE (x%d%data_type)\n CASE (dbcsr_type_real_4)\n CALL slarnv(idist, iseed, n, x%d%r_sp)\n CASE (dbcsr_type_real_8)\n CALL dlarnv(idist, iseed, n, x%d%r_dp)\n CASE (dbcsr_type_complex_4)\n CALL clarnv(idist, iseed, n, x%d%c_sp)\n CASE (dbcsr_type_complex_8)\n CALL zlarnv(idist, iseed, n, x%d%c_dp)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n END SUBROUTINE dbcsr_lapack_larnv\n\nEND MODULE dbcsr_blas_operations\n" }, { "path": "src/utils/dbcsr_btree.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n#:include 'dbcsr_btree.fypp'\n\nMODULE dbcsr_btree\n !! B-tree\n IMPLICIT NONE\n PRIVATE\n\n !API\n PUBLIC :: btree_new, btree_add, btree_find, &\n btree_delete, btree_get_entries\n #:for nt in nametype\n PUBLIC :: btree_${nt}$\n #:endfor\n\n INTEGER, PARAMETER :: keyt = SELECTED_INT_KIND(10)\n INTEGER, PARAMETER :: valt = SELECTED_INT_KIND(5)\n INTEGER, PARAMETER :: sp = KIND(0.0)\n INTEGER, PARAMETER :: dp = KIND(0.0d0)\n\n #:for ts in type2setup\n $:ts\n #:endfor\n\n INTERFACE btree_new\n #:for nt in nametype\n MODULE PROCEDURE btree_new_${nt}$\n #:endfor\n END INTERFACE\n\n INTERFACE btree_add\n #:for nt in nametype\n MODULE PROCEDURE btree_add_${nt}$\n #:endfor\n END INTERFACE\n\n INTERFACE btree_find\n #:for nt in nametype\n MODULE PROCEDURE btree_find_${nt}$\n #:endfor\n END INTERFACE\n\n INTERFACE btree_delete\n #:for nt in nametype\n MODULE PROCEDURE btree_delete_${nt}$\n #:endfor\n END INTERFACE\n\n INTERFACE btree_get_entries\n #:for nt in nametype\n MODULE PROCEDURE btree_get_entries_${nt}$\n #:endfor\n END INTERFACE\n\n #:for nametype, nametype1, nametype2, type1, type2, defaultFormatType1, defaultFormatType2, accessorType2 in inst_params\n TYPE btree_node_${nametype}$\n INTEGER :: id = -1\n INTEGER :: filled = -1\n ${type1}$, DIMENSION(:), POINTER :: keys => NULL()\n ${type2}$, DIMENSION(:), POINTER :: values => NULL()\n TYPE(btree_node_p_${nametype}$), DIMENSION(:), POINTER :: subtrees => NULL()\n TYPE(btree_node_${nametype}$), POINTER :: parent => NULL()\n END TYPE btree_node_${nametype}$\n\n TYPE btree_node_p_${nametype}$\n TYPE(btree_node_${nametype}$), POINTER :: node => NULL()\n END TYPE btree_node_p_${nametype}$\n\n TYPE btree_node_structure_${nametype}$\n INTEGER :: min_fill = -1, max_fill = -1\n INTEGER :: n = -1\n INTEGER :: lastid = -1\n INTEGER :: refcount = -1\n TYPE(btree_node_${nametype}$), POINTER :: root => NULL()\n END TYPE btree_node_structure_${nametype}$\n\n TYPE btree_${nametype}$\n TYPE(btree_node_structure_${nametype}$) :: b = btree_node_structure_${nametype}$ ()\n END TYPE btree_${nametype}$\n #:endfor\n\nCONTAINS\n\n #:for nametype, nametype1, nametype2, type1, type2, defaultFormatType1, defaultFormatType2, accessorType2 in inst_params\n SUBROUTINE btree_new_${nametype}$ (tree, order)\n TYPE(btree_${nametype}$), INTENT(OUT) :: tree\n INTEGER, INTENT(IN), OPTIONAL :: order\n INTEGER :: maxs, mins\n !\n IF (PRESENT(order)) THEN\n maxs = order - 1\n ELSE\n maxs = 15\n END IF\n mins = ISHFT(maxs, -1)\n IF (mins*2 .GT. maxs) maxs = 2*maxs\n IF (mins .LT. 1) mins = 1\n IF (maxs .LT. 3) maxs = 3\n tree%b%min_fill = mins\n tree%b%max_fill = maxs\n tree%b%refcount = 1\n tree%b%n = 0\n NULLIFY (tree%b%root)\n tree%b%lastid = 0\n END SUBROUTINE btree_new_${nametype}$\n\n FUNCTION btree_get_entries_${nametype}$ (tree) RESULT(num_entries)\n TYPE(btree_${nametype}$), INTENT(INOUT) :: tree\n INTEGER :: num_entries\n num_entries = tree%b%n\n END FUNCTION btree_get_entries_${nametype}$\n\n ! node is a non-leaf node\n SUBROUTINE btree_adopt_subtrees_${nametype}$ (node)\n TYPE(btree_node_${nametype}$), POINTER :: node\n INTEGER :: i\n !\n ! Assume that node is not a leaf!\n DO i = 1, node%filled + 1\n !IF (ASSOCIATED (node%subtrees(i)%node)) THEN\n !IF (.NOT. ASSOCIATED (node%subtrees(i)%node%parent,&\n ! node)) THEN\n node%subtrees(i)%node%parent => node\n !ENDIF\n !ENDIF\n END DO\n END SUBROUTINE btree_adopt_subtrees_${nametype}$\n\n SUBROUTINE btree_delete_${nametype}$ (tree, keys, values)\n TYPE(btree_${nametype}$), INTENT(INOUT) :: tree\n ${type1}$, DIMENSION(:), INTENT(OUT), OPTIONAL :: keys\n ${type2}$, DIMENSION(:), INTENT(OUT), OPTIONAL :: values\n INTEGER :: pos\n !\n IF (ASSOCIATED(tree%b%root)) THEN\n pos = 0\n IF (PRESENT(keys) .AND. PRESENT(values)) THEN\n pos = 1\n CALL btree_delete_node_${nametype}$ (tree%b%root, pos, keys, values)\n ELSE\n CALL btree_delete_node_${nametype}$ (tree%b%root)\n END IF\n END IF\n NULLIFY (tree%b%root)\n END SUBROUTINE btree_delete_${nametype}$\n\n RECURSIVE SUBROUTINE btree_delete_node_${nametype}$ (node, pos, keys, values)\n TYPE(btree_node_${nametype}$), POINTER :: node\n INTEGER, INTENT(INOUT), OPTIONAL :: pos\n ${type1}$, DIMENSION(:), INTENT(INOUT), OPTIONAL :: keys\n ${type2}$, DIMENSION(:), INTENT(INOUT), OPTIONAL :: values\n !\n INTEGER :: i\n !\n IF (node%filled .GT. 0 .AND. ASSOCIATED(node%subtrees(1)%node)) THEN\n DO i = 1, node%filled + 1\n IF (PRESENT(pos)) THEN\n CALL btree_delete_node_${nametype}$ (node%subtrees(i)%node, pos, keys, values)\n ELSE\n CALL btree_delete_node_${nametype}$ (node%subtrees(i)%node)\n END IF\n IF (PRESENT(pos) .AND. i .LE. node%filled) THEN\n keys(pos) = node%keys(i)\n values(pos) = node%values(i)\n pos = pos + 1\n END IF\n END DO\n ELSEIF (PRESENT(pos) .AND. node%filled .GT. 0) THEN\n keys(pos:pos + node%filled - 1) = node%keys(1:node%filled)\n values(pos:pos + node%filled - 1) = node%values(1:node%filled)\n pos = pos + node%filled\n END IF\n CALL btree_free_node_${nametype}$ (node)\n END SUBROUTINE btree_delete_node_${nametype}$\n\n ! Find the key\n ! IF node still has space, insert & update the node\n ! else\n ! 1. select median\n ! 2. split keys into two nodes (one is new)\n ! 3. insert separation key put into parent, and repeat upwards\n\n SUBROUTINE btree_add_${nametype}$ (tree, key, value, exists, existing_value, replace)\n TYPE(btree_${nametype}$), INTENT(INOUT) :: tree\n ${type1}$, INTENT(IN) :: key\n ${type2}$, INTENT(IN) :: value\n LOGICAL, INTENT(OUT), OPTIONAL :: exists\n ${type2}$, INTENT(OUT), OPTIONAL :: existing_value\n LOGICAL, INTENT(IN), OPTIONAL :: replace\n !\n TYPE(btree_node_${nametype}$), POINTER :: node\n INTEGER :: ge_pos, position\n !\n IF (PRESENT(exists)) THEN\n CALL btree_find_full_${nametype}$ (tree, key, node, position, ge_pos, short=.TRUE.)\n IF (position .GT. 0) THEN\n exists = .TRUE.\n existing_value = node%values(position)\n IF (PRESENT(replace)) THEN\n IF (replace) THEN\n node%values(position) = value\n END IF\n END IF\n RETURN\n ELSE\n exists = .FALSE.\n END IF\n ELSE\n CALL btree_find_leaf_${nametype}$ (tree, key, node, ge_pos)\n END IF\n CALL btree_add_into_${nametype}$ (tree, node, key, value, before=ge_pos)\n IF (PRESENT(exists)) existing_value = value\n tree%b%n = tree%b%n + 1\n END SUBROUTINE btree_add_${nametype}$\n\n RECURSIVE SUBROUTINE btree_add_into_${nametype}$ (tree, node, key, value, before, subtree)\n TYPE(btree_${nametype}$), INTENT(INOUT) :: tree\n TYPE(btree_node_${nametype}$), POINTER :: node\n ${type1}$, INTENT(IN) :: key\n ${type2}$, INTENT(IN) :: value\n INTEGER, INTENT(IN), OPTIONAL :: before\n TYPE(btree_node_${nametype}$), POINTER, OPTIONAL :: subtree\n !\n TYPE(btree_node_${nametype}$), POINTER :: new_node\n ${type1}$ :: upgrade_key\n INTEGER :: ge_pos, split_pos\n ${type2}$ :: upgrade_value\n LOGICAL :: leaf\n !\n ! Root is special\n IF (.NOT. ASSOCIATED(node)) THEN\n CALL btree_new_root_${nametype}$ (tree, key, value)\n IF (PRESENT(subtree)) THEN\n tree%b%root%subtrees(2)%node => subtree\n subtree%parent => tree%b%root\n END IF\n RETURN\n END IF\n ! Where the insertion takes place.\n IF (PRESENT(before)) THEN\n ge_pos = before\n ELSE\n CALL btree_node_find_gt_pos_${nametype}$ (node%keys, key, ge_pos, node%filled)\n END IF\n ! Addition is easy if the node has enough space.\n leaf = .NOT. ASSOCIATED(node%subtrees(1)%node)\n IF (node%filled .LT. tree%b%max_fill) THEN\n IF (PRESENT(subtree)) THEN\n CALL btree_simple_insertion_${nametype}$ (node, key, value, ge_pos, subtree)\n ELSE\n CALL btree_simple_insertion_${nametype}$ (node, key, value, ge_pos)\n END IF\n RETURN\n ELSE\n split_pos = ISHFT(tree%b%max_fill + 1, -1)\n ! I assert that split_pos <= SIZE(node%keys)\n CALL btree_new_node_${nametype}$ (tree, new_node)\n ! The key to be added falls in the left node\n node%filled = split_pos - 1\n IF (ge_pos .LE. split_pos) THEN\n IF (ge_pos .EQ. split_pos) THEN\n upgrade_key = key\n upgrade_value = value\n ELSE\n upgrade_key = node%keys(split_pos - 1)\n upgrade_value = node%values(split_pos - 1)\n END IF\n IF (PRESENT(subtree)) THEN\n CALL btree_left_insertion_${nametype}$ (tree, node, new_node, key, value, &\n ge_pos, split_pos, subtree)\n !CALL btree_adopt_subtrees_${nametype}$ (new_node)\n ELSE\n CALL btree_left_insertion_${nametype}$ (tree, node, new_node, key, value, &\n ge_pos, split_pos)\n END IF\n !\n ELSE\n upgrade_key = node%keys(split_pos)\n upgrade_value = node%values(split_pos)\n IF (PRESENT(subtree)) THEN\n CALL btree_right_insertion_${nametype}$ (tree, node, new_node, key, value, &\n ge_pos, split_pos, subtree)\n !CALL btree_adopt_subtrees_${nametype}$ (new_node)\n ELSE\n CALL btree_right_insertion_${nametype}$ (tree, node, new_node, key, value, &\n ge_pos, split_pos)\n END IF\n !\n END IF\n !\n new_node%parent => node%parent\n !\n IF (.NOT. leaf) THEN\n CALL btree_adopt_subtrees_${nametype}$ (new_node)\n END IF\n !\n CALL btree_add_into_${nametype}$ (tree, node%parent, upgrade_key, upgrade_value, &\n subtree=new_node)\n !\n END IF\n END SUBROUTINE btree_add_into_${nametype}$\n\n SUBROUTINE btree_simple_insertion_${nametype}$ (node, key, value, before, subtree)\n TYPE(btree_node_${nametype}$), INTENT(INOUT) :: node\n ${type1}$, INTENT(IN) :: key\n ${type2}$, INTENT(IN) :: value\n INTEGER, INTENT(IN) :: before\n TYPE(btree_node_${nametype}$), POINTER, OPTIONAL :: subtree\n !\n ! Shift keys\n node%keys(before + 1:node%filled + 1) = node%keys(before:node%filled)\n node%keys(before) = key\n ! Shift values\n node%values(before + 1:node%filled + 1) = node%values(before:node%filled)\n node%values(before) = value\n ! Shift subtree pointers, but only if node is not a leaf ; assume\n ! leaf <=> present(subtree)\n IF (PRESENT(subtree)) THEN\n node%subtrees(before + 2:node%filled + 2) = &\n node%subtrees(before + 1:node%filled + 1)\n node%subtrees(before + 1)%node => subtree\n END IF\n node%filled = node%filled + 1\n END SUBROUTINE btree_simple_insertion_${nametype}$\n\n SUBROUTINE btree_left_insertion_${nametype}$ (tree, node, new_node, key, value, before, split_pos, subtree)\n TYPE(btree_${nametype}$), INTENT(IN) :: tree\n TYPE(btree_node_${nametype}$), INTENT(INOUT) :: node, new_node\n ${type1}$, INTENT(IN) :: key\n ${type2}$, INTENT(IN) :: value\n INTEGER, INTENT(IN) :: before, split_pos\n TYPE(btree_node_${nametype}$), POINTER, OPTIONAL :: subtree\n !\n new_node%filled = (tree%b%max_fill) - (split_pos - 1)\n new_node%keys(1:new_node%filled) = &\n node%keys(split_pos:tree%b%max_fill)\n new_node%values(1:new_node%filled) = &\n node%values(split_pos:tree%b%max_fill)\n !IF (ASSOCIATED (node%subtrees(1)%node)) THEN\n IF (PRESENT(subtree)) THEN\n IF (before .EQ. split_pos) THEN\n new_node%subtrees(2:new_node%filled + 1) = &\n node%subtrees(split_pos + 1:tree%b%max_fill + 1)\n new_node%subtrees(1)%node => subtree\n ELSE\n new_node%subtrees(1:new_node%filled + 1) = &\n node%subtrees(split_pos:tree%b%max_fill + 1)\n END IF\n END IF\n ! Fill node%{keys,values}(1:node%filled), where node%filled\n ! is split_pos-1, but do insert the new value at ge_pos. The\n ! key/value at split_pos is to be inserted into the\n ! parent.\n ! The new tree is added to the right of the new insertion.\n node%keys(before + 1:node%filled) = node%keys(before:node%filled - 1)\n node%keys(before) = key\n node%values(before + 1:node%filled) = node%values(before:node%filled - 1)\n node%values(before) = value\n IF (PRESENT(subtree)) THEN\n node%subtrees(before + 2:node%filled + 1) = &\n node%subtrees(before + 1:node%filled)\n node%subtrees(before + 1)%node => subtree\n ELSE\n NULLIFY (node%subtrees(before + 1)%node)\n END IF\n END SUBROUTINE btree_left_insertion_${nametype}$\n\n SUBROUTINE btree_right_insertion_${nametype}$ (tree, node, new_node, key, value, before, split_pos, subtree)\n TYPE(btree_${nametype}$), INTENT(IN) :: tree\n TYPE(btree_node_${nametype}$), INTENT(INOUT) :: node, new_node\n ${type1}$, INTENT(IN) :: key\n ${type2}$, INTENT(IN) :: value\n INTEGER, INTENT(IN) :: before, split_pos\n TYPE(btree_node_${nametype}$), POINTER, OPTIONAL :: subtree\n !\n new_node%filled = (tree%b%max_fill + 1) - split_pos\n new_node%keys(1:before - split_pos - 1) = &\n node%keys(split_pos + 1:before - 1)\n new_node%keys(before - split_pos) = key\n new_node%keys(before - split_pos + 1:new_node%filled) = &\n node%keys(before:tree%b%max_fill)\n new_node%values(1:before - split_pos - 1) = &\n node%values(split_pos + 1:before - 1)\n new_node%values(before - split_pos) = value\n new_node%values(before - split_pos + 1:new_node%filled) = &\n node%values(before:tree%b%max_fill)\n IF (PRESENT(subtree)) THEN\n new_node%subtrees(1:before - split_pos) = &\n node%subtrees(split_pos + 1:before)\n new_node%subtrees(before - split_pos + 1)%node => subtree\n new_node%subtrees(before - split_pos + 2:new_node%filled + 1) = &\n node%subtrees(before + 1:tree%b%max_fill + 1)\n END IF\n END SUBROUTINE btree_right_insertion_${nametype}$\n\n SUBROUTINE btree_new_root_${nametype}$ (tree, key, value)\n TYPE(btree_${nametype}$), INTENT(INOUT) :: tree\n ${type1}$, INTENT(IN) :: key\n ${type2}$, INTENT(IN) :: value\n TYPE(btree_node_${nametype}$), POINTER :: old_root, new_root\n !\n CALL btree_new_node_${nametype}$ (tree, new_root)\n new_root%filled = 1\n new_root%keys(1) = key\n new_root%values(1) = value\n IF (ASSOCIATED(tree%b%root)) THEN\n old_root => tree%b%root\n old_root%parent => new_root\n new_root%subtrees(1)%node => old_root\n old_root%parent => new_root\n END IF\n tree%b%root => new_root\n END SUBROUTINE btree_new_root_${nametype}$\n\n SUBROUTINE btree_new_node_${nametype}$ (tree, node)\n TYPE(btree_${nametype}$), INTENT(INOUT) :: tree\n TYPE(btree_node_${nametype}$), POINTER :: node\n INTEGER :: i\n !\n ALLOCATE (node)\n ALLOCATE (node%keys(tree%b%max_fill))\n ALLOCATE (node%values(tree%b%max_fill))\n ALLOCATE (node%subtrees(tree%b%max_fill + 1))\n DO i = 1, tree%b%max_fill + 1\n NULLIFY (node%subtrees(i)%node)\n END DO\n node%filled = 0\n NULLIFY (node%parent)\n tree%b%lastid = tree%b%lastid + 1\n node%id = tree%b%lastid\n END SUBROUTINE btree_new_node_${nametype}$\n\n SUBROUTINE btree_free_node_${nametype}$ (node)\n TYPE(btree_node_${nametype}$), POINTER :: node\n !\n DEALLOCATE (node%keys)\n DEALLOCATE (node%values)\n DEALLOCATE (node%subtrees)\n DEALLOCATE (node)\n END SUBROUTINE btree_free_node_${nametype}$\n\n SUBROUTINE btree_find_${nametype}$ (tree, key, value, exists)\n TYPE(btree_${nametype}$), INTENT(IN) :: tree\n ${type1}$, INTENT(IN) :: key\n ${type2}$, INTENT(OUT) :: value\n LOGICAL, INTENT(OUT), OPTIONAL :: exists\n !\n TYPE(btree_node_${nametype}$), POINTER :: node\n INTEGER :: position\n !\n CALL btree_find_full_${nametype}$ (tree, key, node, position, short=.TRUE.)\n IF (PRESENT(exists)) THEN\n exists = position .GT. 0\n END IF\n IF (position .GT. 0) THEN\n value = node%values(position)\n END IF\n END SUBROUTINE btree_find_${nametype}$\n\n SUBROUTINE btree_node_find_ge_pos_${nametype}$ (keys, key, position, filled)\n ${type1}$, DIMENSION(:) :: keys\n ${type1}$, INTENT(IN) :: key\n INTEGER, INTENT(OUT) :: position\n INTEGER, INTENT(IN) :: filled\n INTEGER :: left, right\n !\n IF (keys(1) .GE. key) THEN\n position = 1\n RETURN\n END IF\n IF (keys(filled) .LT. key) THEN\n position = filled + 1\n RETURN\n END IF\n left = 2\n right = filled\n position = MAX(ISHFT(left + right, -1), left)\n DO WHILE (left .LE. right)\n IF (keys(position) .GE. key .AND. keys(position - 1) .LT. key) THEN\n RETURN\n END IF\n IF (keys(position) .GE. key) right = MIN(position, right - 1)\n IF (keys(position) .LT. key) left = MAX(position, left + 1)\n position = MAX(ISHFT(left + right, -1), left)\n END DO\n END SUBROUTINE btree_node_find_ge_pos_${nametype}$\n\n SUBROUTINE btree_node_find_gt_pos_${nametype}$ (keys, key, position, filled)\n ${type1}$, DIMENSION(:) :: keys\n ${type1}$, INTENT(IN) :: key\n INTEGER, INTENT(OUT) :: position\n INTEGER, INTENT(IN) :: filled\n INTEGER :: left, right\n !\n IF (keys(1) .GT. key) THEN\n position = 1\n RETURN\n END IF\n IF (keys(filled) .LE. key) THEN\n position = filled + 1\n RETURN\n END IF\n left = 2\n right = filled\n position = MAX(ISHFT(left + right, -1), left)\n DO WHILE (left .LE. right)\n IF (keys(position) .GT. key .AND. keys(position - 1) .LE. key) THEN\n RETURN\n END IF\n IF (keys(position) .GT. key) right = MIN(position, right - 1)\n IF (keys(position) .LE. key) left = MAX(position, left + 1)\n position = MAX(ISHFT(left + right, -1), left)\n END DO\n END SUBROUTINE btree_node_find_gt_pos_${nametype}$\n\n SUBROUTINE btree_node_find_gte_pos_${nametype}$ (keys, key, position, filled, first)\n ${type1}$, DIMENSION(:) :: keys\n ${type1}$, INTENT(IN) :: key\n INTEGER, INTENT(OUT) :: position\n INTEGER, INTENT(IN) :: filled\n INTEGER, INTENT(IN), OPTIONAL :: first\n INTEGER :: left, right, one\n !\n one = 1\n IF (PRESENT(FIRST)) one = first\n IF (one .LE. filled) THEN\n IF (keys(one) .GT. key) THEN\n position = one\n RETURN\n END IF\n END IF\n IF (keys(filled) .LE. key) THEN\n position = filled + 1\n RETURN\n END IF\n left = one + 1\n right = filled\n position = MAX(ISHFT(left + right, -1), left)\n DO WHILE (left .LE. right)\n IF (keys(position) .GT. key .AND. keys(position - 1) .LE. key) THEN\n RETURN\n END IF\n IF (keys(position) .GT. key) right = MIN(position, right - 1)\n IF (keys(position) .LE. key) left = MAX(position, left + 1)\n position = MAX(ISHFT(left + right, -1), left)\n END DO\n END SUBROUTINE btree_node_find_gte_pos_${nametype}$\n\n ! node is unassociated and position=0 if not found\n ! Precondition: The key is tree or its subtree.\n\n SUBROUTINE btree_find_full_${nametype}$ (tree, key, node, position, ge_position, short)\n TYPE(btree_${nametype}$), INTENT(IN) :: tree\n ${type1}$, INTENT(IN) :: key\n TYPE(btree_node_${nametype}$), POINTER :: node\n INTEGER, INTENT(OUT) :: position\n INTEGER, INTENT(OUT), OPTIONAL :: ge_position\n LOGICAL, INTENT(IN), OPTIONAL :: short\n INTEGER :: gti ! Used mark searches\n LOGICAL :: stop_short\n !\n stop_short = .FALSE.\n IF (PRESENT(short)) stop_short = short\n NULLIFY (node)\n position = 0\n IF (PRESENT(ge_position)) ge_position = 0\n !IF (tree%b%n .EQ. 0) RETURN\n IF (.NOT. ASSOCIATED(tree%b%root)) RETURN\n gti = 1\n ! Try to find the key in the given node. If it's found, then\n ! return the node.\n node => tree%b%root\n descent: DO WHILE (.TRUE.)\n ! Try to find the first element equal to or greater than the\n ! one we're searching for.\n CALL btree_node_find_ge_pos_${nametype}$ (node%keys, key, position, node%filled)\n ! One of three things is now true about position: it's now\n ! greater than the number of keys (if all keys are smaller), or\n ! it points to the key that is equal to or greater than the one\n ! we are searching for. If it is found and we are just\n ! searching for one equal element (i.e., user search), we can\n ! return.\n IF (stop_short .AND. position .LE. node%filled) THEN\n IF (node%keys(position) .EQ. key) THEN\n IF (PRESENT(ge_position)) ge_position = position\n RETURN\n END IF\n END IF\n ! If the key is not found, then either return the GE position\n ! if we're in a leaf (case 2 here), otherwise descend into the\n ! subtrees.\n !CALL btree_node_find_gt_pos_${nametype}$ (node%keys, key, gti, node%filled, position)\n CALL btree_node_find_gte_pos_${nametype}$ (node%keys, key, gti, node%filled, position)\n IF (ASSOCIATED(node%subtrees(1)%node)) THEN\n node => node%subtrees(gti)%node\n ELSE\n IF (PRESENT(ge_position)) ge_position = gti\n position = 0\n RETURN\n END IF\n END DO descent\n END SUBROUTINE btree_find_full_${nametype}$\n\n ! node is unassociated and position=0 if not found\n ! Precondition: The key is tree or its subtree.\n\n SUBROUTINE btree_find_leaf_${nametype}$ (tree, key, node, gti)\n TYPE(btree_${nametype}$), INTENT(IN) :: tree\n ${type1}$, INTENT(IN) :: key\n TYPE(btree_node_${nametype}$), POINTER :: node\n INTEGER, INTENT(OUT) :: gti\n !\n NULLIFY (node)\n !IF (tree%b%n .EQ. 0) RETURN\n IF (.NOT. ASSOCIATED(tree%b%root)) RETURN\n gti = 1\n ! Try to find the key in the given node. If it's found, then\n ! return the node.\n node => tree%b%root\n descent: DO WHILE (.TRUE.)\n ! Try to find the first element equal to or greater than the\n ! one we're searching for.\n !CALL btree_node_find_ge_pos_${nametype}$ (node%keys, key, position, node%filled)\n ! One of three things is now true about position: it's now\n ! greater than the number of keys (if all keys are smaller), or\n ! it points to the key that is equal to or greater than the one\n ! we are searching for. If it is found and we are just\n ! searching for one equal element (i.e., user search), we can\n ! return.\n !\n ! If the key is not found, then either return the GE position\n ! if we're in a leaf (case 2 here), otherwise descend into the\n ! subtrees.\n CALL btree_node_find_gt_pos_${nametype}$ (node%keys, key, gti, node%filled)\n !CALL btree_node_find_gt2_pos_${nametype}$ (node%keys, key, i, node%filled)\n !IF (i .NE. gti) WRITE(*,*)'XXXX difference',i,gti\n IF (ASSOCIATED(node%subtrees(1)%node)) THEN\n node => node%subtrees(gti)%node\n ELSE\n RETURN\n END IF\n END DO descent\n END SUBROUTINE btree_find_leaf_${nametype}$\n #:endfor\n\nEND MODULE dbcsr_btree\n" }, { "path": "src/utils/dbcsr_btree.fypp", "content": "#!--------------------------------------------------------------------------------------------------!\n#! Copyright (C) by the DBCSR developers group - All rights reserved !\n#! This file is part of the DBCSR library. !\n#! !\n#! For information on the license, see the LICENSE file. !\n#! For further information please visit https://dbcsr.cp2k.org !\n#! SPDX-License-Identifier: GPL-2.0+ !\n#!--------------------------------------------------------------------------------------------------!\n\n#:mute\n\n#:def type2setup_1_get()\nTYPE btree_data_sp2d\nREAL(KIND=sp), DIMENSION(:,:), POINTER :: p => NULL()\nLOGICAL :: tr = .FALSE.\nEND TYPE btree_data_sp2d\nPUBLIC :: btree_data_sp2d\n#:enddef\n\n#:def type2setup_2_get()\nTYPE btree_data_dp2d\nREAL(KIND=dp), DIMENSION(:,:), POINTER :: p => NULL()\nLOGICAL :: tr = .FALSE.\nEND TYPE btree_data_dp2d\nPUBLIC :: btree_data_dp2d\n#:enddef\n\n#:def type2setup_3_get()\nTYPE btree_data_cp2d\nCOMPLEX(KIND=sp), DIMENSION(:,:), POINTER :: p => NULL()\nLOGICAL :: tr = .FALSE.\nEND TYPE btree_data_cp2d\nPUBLIC :: btree_data_cp2d\n#:enddef\n\n#:def type2setup_4_get()\nTYPE btree_data_zp2d\nCOMPLEX(KIND=dp), DIMENSION(:,:), POINTER :: p => NULL()\nLOGICAL :: tr = .FALSE.\nEND TYPE btree_data_zp2d\nPUBLIC :: btree_data_zp2d\n#:enddef\n\n#:set nametype1 = ['i8','i8','i8','i8']\n#:set type1 = ['INTEGER(KIND=keyt)','INTEGER(KIND=keyt)','INTEGER(KIND=keyt)','INTEGER(KIND=keyt)']\n#:set nametype2 = ['sp2d', 'dp2d', 'cp2d', 'zp2d']\n#:set type2 = ['TYPE(btree_data_sp2d)', 'TYPE(btree_data_dp2d)', 'TYPE(btree_data_cp2d)', 'TYPE(btree_data_zp2d)']\n#:set type2setup = [type2setup_1_get(),type2setup_2_get(),type2setup_3_get(),type2setup_4_get()]\n#:set defaultFormatType1 = ['I12', 'I12', 'I12', 'I12']\n#:set defaultFormatType2 = ['F12.3', 'F12.3', 'F12.3', 'F12.3']\n#:set accessorType2 = ['%p','%p','%p','%p']\n#:set nametype = [_ + '_' + __ for _, __ in zip(nametype1, nametype2)]\n\n#:set inst_params = list(zip(nametype, nametype1, nametype2, type1, type2, defaultFormatType1, defaultFormatType2, accessorType2))\n#:endmute\n" }, { "path": "src/utils/dbcsr_files.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_files\n !! Utility routines to open and close files.\n\n USE dbcsr_kinds, ONLY: default_path_length\n USE dbcsr_machine, ONLY: default_input_unit, &\n default_output_unit, &\n m_getcwd\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: close_file, &\n open_file, &\n get_unit_number, &\n file_exists\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_files'\n\n INTEGER, PARAMETER :: max_preconnections = 10, &\n max_unit_number = 999\n\n TYPE preconnection_type\n PRIVATE\n CHARACTER(LEN=default_path_length) :: file_name = \"\"\n INTEGER :: unit_number = -1\n END TYPE preconnection_type\n\n TYPE(preconnection_type), DIMENSION(max_preconnections) :: preconnected\n\nCONTAINS\n\n SUBROUTINE assign_preconnection(file_name, unit_number)\n !! Add an entry to the list of preconnected units\n\n CHARACTER(LEN=*), INTENT(IN) :: file_name\n INTEGER, INTENT(IN) :: unit_number\n\n INTEGER :: ic, islot, nc\n\n IF ((unit_number < 1) .OR. (unit_number > max_unit_number)) THEN\n DBCSR_ABORT(\"An invalid logical unit number was specified.\")\n END IF\n\n IF (LEN_TRIM(file_name) == 0) THEN\n DBCSR_ABORT(\"No valid file name was specified\")\n END IF\n\n nc = SIZE(preconnected)\n\n ! Check if a preconnection already exists\n DO ic = 1, nc\n IF (TRIM(preconnected(ic)%file_name) == TRIM(file_name)) THEN\n ! Return if the entry already exists\n IF (preconnected(ic)%unit_number == unit_number) THEN\n RETURN\n ELSE\n CALL print_preconnection_list()\n CALL dbcsr_abort(__LOCATION__, &\n \"Attempt to connect the already connected file <\"// &\n TRIM(ADJUSTL(file_name))//\"> to another unit\")\n END IF\n END IF\n END DO\n\n ! Search for an unused entry\n islot = -1\n DO ic = 1, nc\n IF (preconnected(ic)%unit_number == -1) THEN\n islot = ic\n EXIT\n END IF\n END DO\n\n IF (islot == -1) THEN\n CALL print_preconnection_list()\n DBCSR_ABORT(\"No free slot found in the list of preconnected units\")\n END IF\n\n preconnected(islot)%file_name = TRIM(ADJUSTL(file_name))\n preconnected(islot)%unit_number = unit_number\n\n END SUBROUTINE assign_preconnection\n\n SUBROUTINE close_file(unit_number, file_status, keep_preconnection)\n !! Close an open file given by its logical unit number.\n !! Optionally, keep the file and unit preconnected.\n\n INTEGER, INTENT(IN) :: unit_number\n CHARACTER(LEN=*), INTENT(IN), OPTIONAL :: file_status\n LOGICAL, INTENT(IN), OPTIONAL :: keep_preconnection\n\n CHARACTER(LEN=2*default_path_length) :: message\n CHARACTER(LEN=6) :: status_string\n CHARACTER(LEN=default_path_length) :: file_name\n INTEGER :: istat\n LOGICAL :: exists, is_open, keep_file_connection\n\n keep_file_connection = .FALSE.\n IF (PRESENT(keep_preconnection)) keep_file_connection = keep_preconnection\n\n INQUIRE (UNIT=unit_number, EXIST=exists, OPENED=is_open, IOSTAT=istat)\n\n IF (istat /= 0) THEN\n WRITE (UNIT=message, FMT=\"(A,I0,A,I0,A)\") &\n \"An error occurred inquiring the unit with the number \", unit_number, &\n \" (IOSTAT = \", istat, \")\"\n DBCSR_ABORT(TRIM(message))\n ELSE IF (.NOT. exists) THEN\n WRITE (UNIT=message, FMT=\"(A,I0,A)\") &\n \"The specified unit number \", unit_number, &\n \" cannot be closed, because it does not exist.\"\n DBCSR_ABORT(TRIM(message))\n END IF\n\n ! Close the specified file\n\n IF (is_open) THEN\n ! Refuse to close any preconnected system unit\n IF (unit_number == default_input_unit) THEN\n WRITE (UNIT=message, FMT=\"(A,I0)\") &\n \"Attempt to close the default input unit number \", unit_number\n DBCSR_ABORT(TRIM(message))\n END IF\n IF (unit_number == default_output_unit) THEN\n WRITE (UNIT=message, FMT=\"(A,I0)\") &\n \"Attempt to close the default output unit number \", unit_number\n DBCSR_ABORT(TRIM(message))\n END IF\n ! Define status after closing the file\n IF (PRESENT(file_status)) THEN\n status_string = TRIM(ADJUSTL(file_status))\n ELSE\n status_string = \"KEEP\"\n END IF\n ! Optionally, keep this unit preconnected\n INQUIRE (UNIT=unit_number, NAME=file_name, IOSTAT=istat)\n IF (istat /= 0) THEN\n WRITE (UNIT=message, FMT=\"(A,I0,A,I0,A)\") &\n \"An error occurred inquiring the unit with the number \", unit_number, &\n \" (IOSTAT = \", istat, \")\"\n DBCSR_ABORT(TRIM(message))\n END IF\n ! Manage preconnections\n IF (keep_file_connection) THEN\n CALL assign_preconnection(file_name, unit_number)\n ELSE\n CALL delete_preconnection(file_name, unit_number)\n CLOSE (UNIT=unit_number, IOSTAT=istat, STATUS=TRIM(status_string))\n IF (istat /= 0) THEN\n WRITE (UNIT=message, FMT=\"(A,I0,A,I0,A)\") &\n \"An error occurred closing the file with the logical unit number \", &\n unit_number, \" (IOSTAT = \", istat, \")\"\n DBCSR_ABORT(TRIM(message))\n END IF\n END IF\n END IF\n\n END SUBROUTINE close_file\n\n SUBROUTINE delete_preconnection(file_name, unit_number)\n !! Remove an entry from the list of preconnected units\n\n CHARACTER(LEN=*), INTENT(IN) :: file_name\n INTEGER :: unit_number\n\n INTEGER :: ic, nc\n\n nc = SIZE(preconnected)\n\n ! Search for preconnection entry and delete it when found\n DO ic = 1, nc\n IF (TRIM(preconnected(ic)%file_name) == TRIM(file_name)) THEN\n IF (preconnected(ic)%unit_number == unit_number) THEN\n preconnected(ic)%file_name = \"\"\n preconnected(ic)%unit_number = -1\n EXIT\n ELSE\n CALL print_preconnection_list()\n CALL dbcsr_abort(__LOCATION__, &\n \"Attempt to disconnect the file <\"// &\n TRIM(ADJUSTL(file_name))// &\n \"> from an unlisted unit\")\n END IF\n END IF\n END DO\n\n END SUBROUTINE delete_preconnection\n\n FUNCTION get_unit_number(file_name) RESULT(unit_number)\n !! Returns the first logical unit that is not preconnected\n !! @note\n !! -1 if no free unit exists\n\n CHARACTER(LEN=*), INTENT(IN), OPTIONAL :: file_name\n INTEGER :: unit_number\n\n INTEGER :: ic, istat, nc\n LOGICAL :: exists, is_open\n\n IF (PRESENT(file_name)) THEN\n nc = SIZE(preconnected)\n ! Check for preconnected units\n DO ic = 3, nc ! Exclude the preconnected system units (< 3)\n IF (TRIM(preconnected(ic)%file_name) == TRIM(file_name)) THEN\n unit_number = preconnected(ic)%unit_number\n RETURN\n END IF\n END DO\n END IF\n\n ! Get a new unit number\n DO unit_number = 1, max_unit_number\n IF (ANY(unit_number == preconnected(:)%unit_number)) CYCLE\n INQUIRE (UNIT=unit_number, EXIST=exists, OPENED=is_open, IOSTAT=istat)\n IF (exists .AND. (.NOT. is_open) .AND. (istat == 0)) RETURN\n END DO\n\n unit_number = -1\n\n END FUNCTION get_unit_number\n\n SUBROUTINE open_file(file_name, file_status, file_form, file_action, &\n file_position, file_pad, unit_number, debug, &\n skip_get_unit_number, file_access)\n !! Opens the requested file using a free unit number\n\n CHARACTER(LEN=*), INTENT(IN) :: file_name\n CHARACTER(LEN=*), INTENT(IN), OPTIONAL :: file_status, file_form, file_action, &\n file_position, file_pad\n INTEGER, INTENT(INOUT) :: unit_number\n INTEGER, INTENT(IN), OPTIONAL :: debug\n LOGICAL, INTENT(IN), OPTIONAL :: skip_get_unit_number\n CHARACTER(LEN=*), INTENT(IN), OPTIONAL :: file_access\n !! file access mode\n\n CHARACTER(LEN=*), PARAMETER :: routineN = 'open_file'\n CHARACTER(LEN=11) :: access_string, action_string, current_action, current_form, &\n form_string, pad_string, position_string, status_string\n CHARACTER(LEN=2*default_path_length) :: message\n CHARACTER(LEN=default_path_length) :: cwd, iomsgstr\n INTEGER :: debug_unit, istat\n LOGICAL :: exists, get_a_new_unit, is_open\n\n IF (PRESENT(file_access)) THEN\n access_string = TRIM(file_access)\n ELSE\n access_string = \"SEQUENTIAL\"\n END IF\n\n IF (PRESENT(file_status)) THEN\n status_string = TRIM(file_status)\n ELSE\n status_string = \"OLD\"\n END IF\n\n IF (PRESENT(file_form)) THEN\n form_string = TRIM(file_form)\n ELSE\n form_string = \"FORMATTED\"\n END IF\n\n IF (PRESENT(file_pad)) THEN\n pad_string = file_pad\n IF (form_string == \"UNFORMATTED\") THEN\n WRITE (UNIT=message, FMT=\"(A)\") &\n \"The PAD specifier is not allowed for an UNFORMATTED file\"\n DBCSR_ABORT(TRIM(message))\n END IF\n ELSE\n pad_string = \"YES\"\n END IF\n\n IF (PRESENT(file_action)) THEN\n action_string = TRIM(file_action)\n ELSE\n action_string = \"READ\"\n END IF\n\n IF (PRESENT(file_position)) THEN\n position_string = TRIM(file_position)\n ELSE\n position_string = \"REWIND\"\n END IF\n\n IF (PRESENT(debug)) THEN\n debug_unit = debug\n ELSE\n debug_unit = 0 ! use default_output_unit for debugging\n END IF\n\n ! Check the specified input file name\n INQUIRE (FILE=TRIM(file_name), EXIST=exists, OPENED=is_open, IOSTAT=istat)\n\n IF (istat /= 0) THEN\n WRITE (UNIT=message, FMT=\"(A,I0,A)\") &\n \"An error occurred inquiring the file <\"//TRIM(file_name)// &\n \"> (IOSTAT = \", istat, \")\"\n DBCSR_ABORT(TRIM(message))\n ELSE IF (status_string == \"OLD\") THEN\n IF (.NOT. exists) THEN\n WRITE (UNIT=message, FMT=\"(A)\") &\n \"The specified file <\"//TRIM(ADJUSTL(file_name))// &\n \"> cannot be opened. It does not exist. \"\n DBCSR_ABORT(TRIM(message))\n END IF\n END IF\n\n ! Open the specified input file\n IF (is_open) THEN\n INQUIRE (FILE=TRIM(file_name), NUMBER=unit_number, &\n ACTION=current_action, FORM=current_form)\n IF (TRIM(position_string) == \"REWIND\") REWIND (UNIT=unit_number)\n IF (TRIM(status_string) == \"NEW\") THEN\n CALL dbcsr_abort(__LOCATION__, &\n \"Attempt to re-open the existing OLD file <\"// &\n TRIM(file_name)//\"> with status attribute NEW.\")\n END IF\n IF (TRIM(current_form) /= TRIM(form_string)) THEN\n CALL dbcsr_abort(__LOCATION__, &\n \"Attempt to re-open the existing \"// &\n TRIM(current_form)//\" file <\"//TRIM(file_name)// &\n \"> as \"//TRIM(form_string)//\" file.\")\n END IF\n IF (TRIM(current_action) /= TRIM(action_string)) THEN\n CALL dbcsr_abort(__LOCATION__, &\n \"Attempt to re-open the existing file <\"// &\n TRIM(file_name)//\"> with the modified ACTION attribute \"// &\n TRIM(action_string)//\". The current ACTION attribute is \"// &\n TRIM(current_action)//\".\")\n END IF\n ELSE\n ! Find an unused unit number\n get_a_new_unit = .TRUE.\n IF (PRESENT(skip_get_unit_number)) THEN\n IF (skip_get_unit_number) get_a_new_unit = .FALSE.\n END IF\n IF (get_a_new_unit) unit_number = get_unit_number(TRIM(file_name))\n IF (unit_number < 1) THEN\n WRITE (UNIT=message, FMT=\"(A)\") &\n \"Cannot open the file <\"//TRIM(ADJUSTL(file_name))// &\n \">, because no unused logical unit number could be obtained.\"\n DBCSR_ABORT(TRIM(message))\n END IF\n IF (TRIM(form_string) == \"FORMATTED\") THEN\n OPEN (UNIT=unit_number, &\n FILE=TRIM(file_name), &\n STATUS=TRIM(status_string), &\n ACCESS=TRIM(access_string), &\n FORM=TRIM(form_string), &\n POSITION=TRIM(position_string), &\n ACTION=TRIM(action_string), &\n PAD=TRIM(pad_string), &\n IOMSG=iomsgstr, &\n IOSTAT=istat)\n ELSE\n OPEN (UNIT=unit_number, &\n FILE=TRIM(file_name), &\n STATUS=TRIM(status_string), &\n ACCESS=TRIM(access_string), &\n FORM=TRIM(form_string), &\n POSITION=TRIM(position_string), &\n ACTION=TRIM(action_string), &\n IOMSG=iomsgstr, &\n IOSTAT=istat)\n END IF\n IF (istat /= 0) THEN\n CALL m_getcwd(cwd)\n WRITE (UNIT=message, FMT=\"(A,I0,A,I0,A)\") &\n \"An error occurred opening the file '\"//TRIM(ADJUSTL(file_name))// &\n \"' (UNIT = \", unit_number, \", IOSTAT = \", istat, \"). \"//TRIM(iomsgstr)//\". \"// &\n \"Current working directory: \"//TRIM(cwd)\n\n DBCSR_ABORT(TRIM(message))\n END IF\n END IF\n\n IF (debug_unit > 0) THEN\n INQUIRE (FILE=TRIM(file_name), OPENED=is_open, NUMBER=unit_number, &\n POSITION=position_string, NAME=message, ACCESS=access_string, &\n FORM=form_string, ACTION=action_string)\n WRITE (UNIT=debug_unit, FMT=\"(T2,A)\") \"BEGIN DEBUG \"//TRIM(ADJUSTL(routineN))\n WRITE (UNIT=debug_unit, FMT=\"(T3,A,I0)\") \"NUMBER : \", unit_number\n WRITE (UNIT=debug_unit, FMT=\"(T3,A,L1)\") \"OPENED : \", is_open\n WRITE (UNIT=debug_unit, FMT=\"(T3,A)\") \"NAME : \"//TRIM(ADJUSTL(message))\n WRITE (UNIT=debug_unit, FMT=\"(T3,A)\") \"POSITION: \"//TRIM(ADJUSTL(position_string))\n WRITE (UNIT=debug_unit, FMT=\"(T3,A)\") \"ACCESS : \"//TRIM(ADJUSTL(access_string))\n WRITE (UNIT=debug_unit, FMT=\"(T3,A)\") \"FORM : \"//TRIM(ADJUSTL(form_string))\n WRITE (UNIT=debug_unit, FMT=\"(T3,A)\") \"ACTION : \"//TRIM(ADJUSTL(action_string))\n WRITE (UNIT=debug_unit, FMT=\"(T2,A)\") \"END DEBUG \"//TRIM(ADJUSTL(routineN))\n CALL print_preconnection_list(debug_unit)\n END IF\n\n END SUBROUTINE open_file\n\n FUNCTION file_exists(file_name) RESULT(exist)\n !! Checks if file exists, considering also the file discovery mechanism.\n CHARACTER(LEN=*), INTENT(IN) :: file_name\n LOGICAL :: exist\n\n INQUIRE (FILE=TRIM(file_name), exist=exist)\n END FUNCTION file_exists\n\n SUBROUTINE print_preconnection_list(output_unit)\n !! Print the list of preconnected units\n\n INTEGER, INTENT(IN), OPTIONAL :: output_unit\n !! which unit to print to (optional)\n\n INTEGER :: ic, nc, unit\n\n IF (PRESENT(output_unit)) THEN\n unit = output_unit\n ELSE\n unit = default_output_unit\n END IF\n\n nc = SIZE(preconnected)\n\n IF (output_unit > 0) THEN\n\n WRITE (UNIT=output_unit, FMT=\"(A,/,A)\") &\n \" LIST OF PRECONNECTED LOGICAL UNITS\", &\n \" Slot Unit number File name\"\n DO ic = 1, nc\n IF (preconnected(ic)%unit_number > 0) THEN\n WRITE (UNIT=output_unit, FMT=\"(I6,3X,I6,8X,A)\") &\n ic, preconnected(ic)%unit_number, &\n TRIM(ADJUSTL(preconnected(ic)%file_name))\n ELSE\n WRITE (UNIT=output_unit, FMT=\"(I6,17X,A)\") &\n ic, \"UNUSED\"\n END IF\n END DO\n END IF\n END SUBROUTINE print_preconnection_list\n\nEND MODULE dbcsr_files\n" }, { "path": "src/utils/dbcsr_hash_table.f90", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n! -----------------------------------------------------------------------------\n! Beginning of hashtable.\n! this file can be 'INCLUDE'ed verbatim in various place, where it needs to be\n! part of the module to guarantee inlining\n! hashes (c,p) pairs, where p is assumed to be >0\n! on return (0 is used as a flag for not present)\n!\n!\n FUNCTION matching_prime(i) RESULT(res)\n !! finds a prime equal or larger than i, needed at creation\n\n INTEGER, INTENT(IN) :: i\n INTEGER :: res\n\n INTEGER :: j\n\n res = i\n j = 0\n DO WHILE (j < res)\n DO j = 2, res - 1\n IF (MOD(res, j) == 0) THEN\n res = res + 1\n EXIT\n END IF\n END DO\n END DO\n END FUNCTION\n\n SUBROUTINE hash_table_create(hash_table, table_size)\n !! create a hash_table of given initial size.\n !! the hash table will expand as needed (but this requires rehashing)\n\n TYPE(hash_table_type) :: hash_table\n INTEGER, INTENT(IN) :: table_size\n\n INTEGER :: j\n\n ! guarantee a minimal hash table size (8), so that expansion works\n\n j = 3\n DO WHILE (2**j - 1 < table_size)\n j = j + 1\n END DO\n hash_table%nmax = 2**j - 1\n hash_table%prime = matching_prime(hash_table%nmax)\n hash_table%nele = 0\n ALLOCATE (hash_table%table(0:hash_table%nmax))\n END SUBROUTINE hash_table_create\n\n! *****************************************************************************\n! **************************************************************************************************\n SUBROUTINE hash_table_release(hash_table)\n TYPE(hash_table_type) :: hash_table\n\n hash_table%nmax = 0\n hash_table%nele = 0\n DEALLOCATE (hash_table%table)\n\n END SUBROUTINE hash_table_release\n\n RECURSIVE SUBROUTINE hash_table_add(hash_table, c, p)\n !! add a pair (c,p) to the hash table\n\n TYPE(hash_table_type), INTENT(INOUT) :: hash_table\n INTEGER, INTENT(IN) :: c, p\n !! this value is being hashed\n !! this is being stored\n\n REAL(KIND=sp), PARAMETER :: hash_table_expand = 1.5_sp, &\n inv_hash_table_fill = 2.5_sp\n\n INTEGER :: i, j\n TYPE(ele_type), ALLOCATABLE, &\n DIMENSION(:) :: tmp_hash\n\n! if too small, make a copy and rehash in a larger table\n\n IF (hash_table%nele*inv_hash_table_fill > hash_table%nmax) THEN\n ALLOCATE (tmp_hash(LBOUND(hash_table%table, 1):UBOUND(hash_table%table, 1)))\n tmp_hash(:) = hash_table%table\n CALL hash_table_release(hash_table)\n CALL hash_table_create(hash_table, INT((UBOUND(tmp_hash, 1) + 8)*hash_table_expand))\n DO i = LBOUND(tmp_hash, 1), UBOUND(tmp_hash, 1)\n IF (tmp_hash(i)%c .NE. 0) THEN\n CALL hash_table_add(hash_table, tmp_hash(i)%c, tmp_hash(i)%p)\n END IF\n END DO\n DEALLOCATE (tmp_hash)\n END IF\n\n hash_table%nele = hash_table%nele + 1\n i = IAND(c*hash_table%prime, hash_table%nmax)\n\n DO j = i, hash_table%nmax\n IF (hash_table%table(j)%c == 0 .OR. hash_table%table(j)%c == c) THEN\n hash_table%table(j)%c = c\n hash_table%table(j)%p = p\n RETURN\n END IF\n END DO\n DO j = 0, i - 1\n IF (hash_table%table(j)%c == 0 .OR. hash_table%table(j)%c == c) THEN\n hash_table%table(j)%c = c\n hash_table%table(j)%p = p\n RETURN\n END IF\n END DO\n\n END SUBROUTINE hash_table_add\n\n! *****************************************************************************\n! **************************************************************************************************\n PURE FUNCTION hash_table_get(hash_table, c) RESULT(p)\n TYPE(hash_table_type), INTENT(IN) :: hash_table\n INTEGER, INTENT(IN) :: c\n INTEGER :: p\n\n INTEGER :: i, j\n\n i = IAND(c*hash_table%prime, hash_table%nmax)\n\n ! catch the likely case first\n IF (hash_table%table(i)%c == c) THEN\n p = hash_table%table(i)%p\n RETURN\n END IF\n\n DO j = i, hash_table%nmax\n IF (hash_table%table(j)%c == 0 .OR. hash_table%table(j)%c == c) THEN\n p = hash_table%table(j)%p\n RETURN\n END IF\n END DO\n DO j = 0, i - 1\n IF (hash_table%table(j)%c == 0 .OR. hash_table%table(j)%c == c) THEN\n p = hash_table%table(j)%p\n RETURN\n END IF\n END DO\n\n ! we should never reach this point.\n p = HUGE(p)\n\n END FUNCTION hash_table_get\n\n! End of hashtable\n! -----------------------------------------------------------------------------\n" }, { "path": "src/utils/dbcsr_hash_table_types.f90", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n TYPE ele_type\n !! Types needed for the hashtable.\n\n INTEGER :: c = 0\n INTEGER :: p = 0\n END TYPE ele_type\n\n TYPE hash_table_type\n TYPE(ele_type), DIMENSION(:), POINTER :: table\n INTEGER :: nele = 0\n INTEGER :: nmax = 0\n INTEGER :: prime = 0\n END TYPE hash_table_type\n" }, { "path": "src/utils/dbcsr_min_heap.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_min_heap\n USE dbcsr_kinds, ONLY: int_4\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n PRIVATE\n\n PUBLIC :: dbcsr_heap_type, keyt, valt\n PUBLIC :: dbcsr_heap_pop, dbcsr_heap_reset_node, dbcsr_heap_fill\n PUBLIC :: dbcsr_heap_new, dbcsr_heap_release\n PUBLIC :: dbcsr_heap_get_first, dbcsr_heap_reset_first\n\n ! Sets the types\n INTEGER, PARAMETER :: keyt = int_4\n INTEGER, PARAMETER :: valt = int_4\n\n TYPE dbcsr_heap_node\n INTEGER(KIND=keyt) :: key = -1_keyt\n INTEGER(KIND=valt) :: value = -1_valt\n END TYPE dbcsr_heap_node\n\n TYPE dbcsr_heap_node_e\n TYPE(dbcsr_heap_node) :: node = dbcsr_heap_node()\n END TYPE dbcsr_heap_node_e\n\n TYPE dbcsr_heap_type\n INTEGER :: n = -1\n INTEGER, DIMENSION(:), POINTER :: index => NULL()\n TYPE(dbcsr_heap_node_e), DIMENSION(:), POINTER :: nodes => NULL()\n END TYPE dbcsr_heap_type\n\nCONTAINS\n\n ! Lookup functions\n\n ELEMENTAL FUNCTION get_parent(n) RESULT(parent)\n INTEGER, INTENT(IN) :: n\n INTEGER :: parent\n\n parent = INT(n/2)\n END FUNCTION get_parent\n\n ELEMENTAL FUNCTION get_left_child(n) RESULT(child)\n INTEGER, INTENT(IN) :: n\n INTEGER :: child\n\n child = 2*n\n END FUNCTION get_left_child\n\n ELEMENTAL FUNCTION get_value(heap, n) RESULT(value)\n TYPE(dbcsr_heap_type), INTENT(IN) :: heap\n INTEGER, INTENT(IN) :: n\n INTEGER(KIND=valt) :: value\n\n value = heap%nodes(n)%node%value\n END FUNCTION get_value\n\n ! Initialization functions\n\n SUBROUTINE dbcsr_heap_new(heap, n)\n TYPE(dbcsr_heap_type), INTENT(OUT) :: heap\n INTEGER, INTENT(IN) :: n\n\n heap%n = n\n ALLOCATE (heap%index(n))\n ALLOCATE (heap%nodes(n))\n END SUBROUTINE dbcsr_heap_new\n\n SUBROUTINE dbcsr_heap_release(heap)\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n\n DEALLOCATE (heap%index)\n DEALLOCATE (heap%nodes)\n heap%n = 0\n END SUBROUTINE dbcsr_heap_release\n\n SUBROUTINE dbcsr_heap_fill(heap, values)\n !! Fill heap with given values\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER(KIND=valt), DIMENSION(:), INTENT(IN) :: values\n\n INTEGER :: first, i, n\n\n n = SIZE(values)\n DBCSR_ASSERT(heap%n >= n)\n\n DO i = 1, n\n heap%index(i) = i\n heap%nodes(i)%node%key = i\n heap%nodes(i)%node%value = values(i)\n END DO\n ! Sort from the last full subtree\n first = get_parent(n)\n DO i = first, 1, -1\n CALL bubble_down(heap, i)\n END DO\n\n END SUBROUTINE dbcsr_heap_fill\n\n SUBROUTINE dbcsr_heap_get_first(heap, key, value, found)\n !! Returns the first heap element without removing it.\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER(KIND=keyt), INTENT(OUT) :: key\n INTEGER(KIND=valt), INTENT(OUT) :: value\n LOGICAL, INTENT(OUT) :: found\n\n IF (heap%n .LT. 1) THEN\n found = .FALSE.\n ELSE\n found = .TRUE.\n key = heap%nodes(1)%node%key\n value = heap%nodes(1)%node%value\n END IF\n END SUBROUTINE dbcsr_heap_get_first\n\n SUBROUTINE dbcsr_heap_pop(heap, key, value, found)\n !! Returns and removes the first heap element and rebalances\n !! the heap.\n\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER(KIND=keyt), INTENT(OUT) :: key\n INTEGER(KIND=valt), INTENT(OUT) :: value\n LOGICAL, INTENT(OUT) :: found\n\n!\n\n CALL dbcsr_heap_get_first(heap, key, value, found)\n IF (found) THEN\n IF (heap%n .GT. 1) THEN\n CALL dbcsr_heap_copy_node(heap, 1, heap%n)\n heap%n = heap%n - 1\n CALL bubble_down(heap, 1)\n ELSE\n heap%n = heap%n - 1\n END IF\n END IF\n END SUBROUTINE dbcsr_heap_pop\n\n SUBROUTINE dbcsr_heap_reset_node(heap, key, value)\n !! Changes the value of the heap element with given key and\n !! rebalances the heap.\n\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER(KIND=keyt), INTENT(IN) :: key\n INTEGER(KIND=valt), INTENT(IN) :: value\n\n INTEGER :: n, new_pos\n\n DBCSR_ASSERT(heap%n > 0)\n\n n = heap%index(key)\n DBCSR_ASSERT(heap%nodes(n)%node%key == key)\n heap%nodes(n)%node%value = value\n CALL bubble_up(heap, n, new_pos)\n CALL bubble_down(heap, new_pos)\n END SUBROUTINE dbcsr_heap_reset_node\n\n SUBROUTINE dbcsr_heap_reset_first(heap, value)\n !! Changes the value of the minimum heap element and rebalances the heap.\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER(KIND=valt), INTENT(IN) :: value\n\n DBCSR_ASSERT(heap%n > 0)\n heap%nodes(1)%node%value = value\n CALL bubble_down(heap, 1)\n END SUBROUTINE dbcsr_heap_reset_first\n\n PURE SUBROUTINE dbcsr_heap_swap(heap, e1, e2)\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER, INTENT(IN) :: e1, e2\n\n INTEGER(KIND=keyt) :: key1, key2\n TYPE(dbcsr_heap_node) :: tmp_node\n\n key1 = heap%nodes(e1)%node%key\n key2 = heap%nodes(e2)%node%key\n\n tmp_node = heap%nodes(e1)%node\n heap%nodes(e1)%node = heap%nodes(e2)%node\n heap%nodes(e2)%node = tmp_node\n\n heap%index(key1) = e2\n heap%index(key2) = e1\n END SUBROUTINE dbcsr_heap_swap\n\n PURE SUBROUTINE dbcsr_heap_copy_node(heap, e1, e2)\n !! Sets node e1 to e2\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER, INTENT(IN) :: e1, e2\n\n INTEGER(KIND=keyt) :: key1, key2\n\n key1 = heap%nodes(e1)%node%key\n key2 = heap%nodes(e2)%node%key\n\n heap%nodes(e1)%node = heap%nodes(e2)%node\n\n heap%index(key1) = 0\n heap%index(key2) = e1\n END SUBROUTINE dbcsr_heap_copy_node\n\n SUBROUTINE bubble_down(heap, first)\n !! Balances a heap by bubbling down from the given element.\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER, INTENT(IN) :: first\n\n INTEGER :: e, left_child, right_child, smallest\n INTEGER(kind=valt) :: left_child_value, min_value, &\n right_child_value\n LOGICAL :: all_done\n\n!\n DBCSR_ASSERT(0 < first .AND. first <= heap%n)\n\n e = first\n all_done = .FALSE.\n ! Check whether we are finished, i.e,. whether the element to\n ! bubble down is childless.\n DO WHILE (e .LE. get_parent(heap%n) .AND. .NOT. all_done)\n ! Determines which node (current, left, or right child) has the\n ! smallest value.\n smallest = e\n min_value = get_value(heap, e)\n left_child = get_left_child(e)\n IF (left_child .LE. heap%n) THEN\n left_child_value = get_value(heap, left_child)\n IF (left_child_value .LT. min_value) THEN\n min_value = left_child_value\n smallest = left_child\n END IF\n END IF\n right_child = left_child + 1\n IF (right_child .LE. heap%n) THEN\n right_child_value = get_value(heap, right_child)\n IF (right_child_value .LT. min_value) THEN\n min_value = right_child_value\n smallest = right_child\n END IF\n END IF\n !\n CALL dbcsr_heap_swap(heap, e, smallest)\n IF (smallest .EQ. e) THEN\n all_done = .TRUE.\n ELSE\n e = smallest\n END IF\n END DO\n END SUBROUTINE bubble_down\n\n SUBROUTINE bubble_up(heap, first, new_pos)\n !! Balances a heap by bubbling up from the given element.\n TYPE(dbcsr_heap_type), INTENT(INOUT) :: heap\n INTEGER, INTENT(IN) :: first\n INTEGER, INTENT(OUT) :: new_pos\n\n INTEGER :: e, parent\n INTEGER(kind=valt) :: my_value, parent_value\n LOGICAL :: all_done\n\n DBCSR_ASSERT(0 < first .AND. first <= heap%n)\n\n e = first\n all_done = .FALSE.\n IF (e .GT. 1) THEN\n my_value = get_value(heap, e)\n END IF\n ! Check whether we are finished, i.e,. whether the element to\n ! bubble up is an orphan.\n new_pos = e\n DO WHILE (e .GT. 1 .AND. .NOT. all_done)\n ! Switches the parent and the current element if the current\n ! element's value is greater than the parent's value.\n parent = get_parent(e)\n parent_value = get_value(heap, parent)\n IF (my_value .LT. parent_value) THEN\n CALL dbcsr_heap_swap(heap, e, parent)\n e = parent\n ELSE\n all_done = .TRUE.\n END IF\n END DO\n new_pos = e\n END SUBROUTINE bubble_up\n\nEND MODULE dbcsr_min_heap\n" }, { "path": "src/utils/dbcsr_string_utilities.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_string_utilities\n !! Utilities for string manipulations\n\n USE dbcsr_kinds, ONLY: default_blank_character\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: compress, &\n stringify, &\n uppercase, &\n str2int\n\n INTERFACE stringify\n MODULE PROCEDURE integer_to_string\n END INTERFACE\nCONTAINS\n\n SUBROUTINE compress(string, full)\n !! Eliminate multiple space characters in a string.\n !! If full is .TRUE., then all spaces are eliminated.\n\n CHARACTER(LEN=*), INTENT(INOUT) :: string\n LOGICAL, INTENT(IN), OPTIONAL :: full\n\n CHARACTER :: tmp\n INTEGER :: i, z\n LOGICAL :: remove_all\n\n IF (PRESENT(full)) THEN\n remove_all = full\n ELSE\n remove_all = .FALSE.\n END IF\n\n z = 1\n\n DO i = 1, LEN_TRIM(string)\n IF ((z == 1) .OR. remove_all) THEN\n IF (string(i:i) /= \" \") THEN\n tmp = string(i:i)\n string(z:z) = tmp\n z = z + 1\n END IF\n ELSE\n IF ((string(i:i) /= \" \") .OR. (string(z - 1:z - 1) /= \" \")) THEN\n tmp = string(i:i)\n string(z:z) = tmp\n z = z + 1\n END IF\n END IF\n END DO\n\n string(z:) = \"\"\n\n END SUBROUTINE compress\n\n FUNCTION integer_to_string(inumber) RESULT(string)\n !! Converts an integer number to a string.\n !! The WRITE statement will return an error message, if the number of\n !! digits of the integer number is larger the than the length of the\n !! supplied string.\n\n INTEGER, INTENT(IN) :: inumber\n CHARACTER(:), ALLOCATABLE :: string\n CHARACTER(RANGE(inumber) + 2) :: tmp\n\n WRITE (UNIT=tmp, FMT='(I0)') inumber\n string = TRIM(tmp)\n END FUNCTION integer_to_string\n\n SUBROUTINE uppercase(string)\n !! Convert all lower case characters in a string to upper case.\n CHARACTER(LEN=*), INTENT(INOUT) :: string\n\n INTEGER :: i, iascii\n\n DO i = 1, LEN_TRIM(string)\n iascii = ICHAR(string(i:i))\n IF ((iascii >= 97) .AND. (iascii <= 122)) THEN\n string(i:i) = CHAR(iascii - 32)\n END IF\n END DO\n\n END SUBROUTINE uppercase\n\n ELEMENTAL SUBROUTINE str2int(str, int, stat)\n !! Convert a string to integer\n CHARACTER(LEN=*), INTENT(in) :: str\n INTEGER, INTENT(OUT) :: int, stat\n\n read (str, *, iostat=stat) int\n END SUBROUTINE str2int\n\nEND MODULE dbcsr_string_utilities\n" }, { "path": "src/utils/dbcsr_toollib.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_toollib\n !! Tools usually found in a standard library.\n\n USE dbcsr_array_sort, ONLY: dbcsr_1d_d_sort, &\n dbcsr_1d_i4_sort, &\n dbcsr_1d_i8_sort, &\n dbcsr_1d_s_sort\n USE dbcsr_kinds, ONLY: int_4, &\n int_8, &\n real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_toollib'\n\n ! Block sizes and arrays\n PUBLIC :: dbcsr_unpack_i8_2i4, make_coordinate_tuple\n PUBLIC :: swap\n ! math routines\n PUBLIC :: gcd, lcm\n ! utility routines\n PUBLIC :: sort, joaat_hash\n PUBLIC :: ordered_search\n PUBLIC :: atoi, atol, ator\n\n INTERFACE swap\n MODULE PROCEDURE iswap, bswap\n END INTERFACE\n\n INTERFACE sort\n MODULE PROCEDURE dbcsr_1d_i4_sort, dbcsr_1d_i8_sort\n MODULE PROCEDURE dbcsr_1d_s_sort, dbcsr_1d_d_sort\n END INTERFACE\n\nCONTAINS\n\n ELEMENTAL FUNCTION make_coordinate_tuple(most, least) RESULT(tuple)\n INTEGER, INTENT(IN) :: most, least\n INTEGER(KIND=int_8) :: tuple\n\n!tuple = IOR (ISHFT (most, 32), least)\n\n tuple = most\n tuple = IOR(ISHFT(tuple, 32), INT(least, int_8))\n END FUNCTION make_coordinate_tuple\n\n ELEMENTAL SUBROUTINE iswap(a, b)\n !! Swaps two integers\n\n INTEGER, INTENT(INOUT) :: a, b\n !! Integers to swap\n !! Integers to swap\n\n INTEGER :: tmp\n\n tmp = a\n a = b\n b = tmp\n END SUBROUTINE iswap\n\n ELEMENTAL SUBROUTINE bswap(a, b)\n !! Swaps two logicals\n\n LOGICAL, INTENT(INOUT) :: a, b\n !! Logicals to swap\n !! Logicals to swap\n\n LOGICAL :: tmp\n\n tmp = a\n a = b\n b = tmp\n END SUBROUTINE bswap\n\n SUBROUTINE dbcsr_unpack_i8_2i4(merged, array_upper, array_lower)\n !! Splits an array of int8 values into two int4 arrays.\n\n INTEGER(KIND=int_8), DIMENSION(:), INTENT(IN) :: merged\n !! array of merged values\n INTEGER(KIND=int_4), DIMENSION(:), INTENT(OUT) :: array_upper, array_lower\n !! array to fill with the upper bytes of the merged values\n !! array to fill with the lower bytes of the merged values\n\n INTEGER(KIND=int_8), PARAMETER :: lmask8 = 4294967295_int_8\n\n INTEGER :: i\n\n!\n! ---------------------------------------------------------------------------\n! Lmask is used to filter in the lower 4 bytes and so its lower 32 bits are\n! set to 1: lmask8 = 2^32-1.\n! Umask is used to filter in the higher 4 bytes and so its higher 32 bits\n! are set to 1: umask8 = 2^32-1 << 32\n!lmask8 = 4294967295 ! 2^32-1\n!umask8 = 18446744069414584320 ! (2^32-1) * 2^32 = (2^64-1)-(2^32-1)\n\n DO i = 1, SIZE(merged)\n array_upper(i) = INT(ISHFT(merged(i), -32), KIND=int_4)\n array_lower(i) = INT(IAND(merged(i), lmask8), KIND=int_4)\n END DO\n END SUBROUTINE dbcsr_unpack_i8_2i4\n\n ELEMENTAL FUNCTION gcd(a, b)\n INTEGER, INTENT(IN) :: a, b\n INTEGER :: gcd\n\n INTEGER :: aa, ab, l, rem, s\n\n aa = ABS(a)\n ab = ABS(b)\n IF (aa < ab) THEN\n s = aa\n l = ab\n ELSE\n s = ab\n l = aa\n END IF\n IF (s .NE. 0) THEN\n DO\n rem = MOD(l, s)\n IF (rem == 0) EXIT\n l = s\n s = rem\n END DO\n GCD = s\n ELSE\n GCD = l\n END IF\n END FUNCTION gcd\n\n ELEMENTAL FUNCTION lcm(a, b)\n INTEGER, INTENT(IN) :: a, b\n INTEGER :: lcm\n\n INTEGER :: tmp\n\n tmp = gcd(a, b)\n IF (tmp == 0) THEN\n lcm = 0\n ELSE\n ! could still overflow if the true lcm is larger than maxint\n lcm = ABS((a/tmp)*b)\n END IF\n END FUNCTION lcm\n\n FUNCTION joaat_hash(key) RESULT(hash_index)\n !! generates the hash of a string and the index in the table\n !! @note\n !! http://en.wikipedia.org/wiki/Hash_table\n !! http://www.burtleburtle.net/bob/hash/doobs.html\n !! However, since fortran doesn't have an unsigned 4 byte int\n !! we compute it using an integer with the appropriate range\n !! we return already the index in the table as a final result\n\n ! LIBXSMM: at least v1.9.0-6 is required\n#if defined(__LIBXSMM) && TO_VERSION(1, 10) <= TO_VERSION(LIBXSMM_CONFIG_VERSION_MAJOR, LIBXSMM_CONFIG_VERSION_MINOR)\n USE libxsmm, ONLY: libxsmm_hash\n INTEGER, PARAMETER :: seed = 0\n INTEGER, DIMENSION(:), INTENT(IN) :: key\n !! a string of any length\n INTEGER :: hash_index\n hash_index = libxsmm_hash(key, seed)\n#else\n INTEGER, DIMENSION(:), INTENT(IN) :: key\n INTEGER :: hash_index\n\n INTEGER(KIND=int_8), PARAMETER :: b32 = 2_int_8**32 - 1_int_8\n\n INTEGER :: i, j\n INTEGER(KIND=int_8) :: byte, hash\n\n hash = 0_int_8\n DO i = 1, SIZE(key)\n DO j = 0, 3\n byte = IAND(ISHFT(key(i), -j*8), 255)\n hash = IAND(hash + byte, b32)\n hash = IAND(hash + IAND(ISHFT(hash, 10), b32), b32)\n hash = IAND(IEOR(hash, IAND(ISHFT(hash, -6), b32)), b32)\n END DO\n END DO\n hash = IAND(hash + IAND(ISHFT(hash, 3), b32), b32)\n hash = IAND(IEOR(hash, IAND(ISHFT(hash, -11), b32)), b32)\n hash = IAND(hash + IAND(ISHFT(hash, 15), b32), b32)\n ! In fortran 4-byte-integers have only 31 bits because they are signed\n ! In fortran the rightmost (least significant) bit is in position 0\n hash_index = INT(IBCLR(hash, 31))\n#endif\n END FUNCTION joaat_hash\n\n PURE SUBROUTINE ordered_search(array, key, loc, found, lb, ub)\n !! search a value in an ordered array of indices\n INTEGER, DIMENSION(:), INTENT(IN) :: array\n INTEGER, INTENT(IN) :: key\n INTEGER, INTENT(OUT) :: loc\n LOGICAL, INTENT(OUT) :: found\n INTEGER, INTENT(IN), OPTIONAL :: lb, ub\n\n INTEGER :: high, low, val\n\n found = .FALSE.\n IF (PRESENT(lb)) THEN\n low = lb\n ELSE\n low = LBOUND(array, 1)\n END IF\n IF (PRESENT(ub)) THEN\n high = ub\n ELSE\n high = UBOUND(array, 1)\n END IF\n loc = (low + high)/2\n DO WHILE (loc .GE. low .AND. loc .LE. high)\n val = array(loc)\n IF (val .EQ. key) THEN\n found = .TRUE.\n EXIT\n ELSEIF (val .LT. key) THEN\n low = loc + 1\n ELSE\n high = loc - 1\n END IF\n loc = (low + high)/2\n END DO\n END SUBROUTINE ordered_search\n\n FUNCTION atoi(a)\n CHARACTER(len=*), INTENT(in) :: a\n INTEGER :: atoi\n\n READ (a, '(I9)') atoi\n END FUNCTION atoi\n\n FUNCTION atol(a)\n CHARACTER(len=*), INTENT(in) :: a\n LOGICAL :: atol\n\n READ (a, '(L1)') atol\n END FUNCTION atol\n\n FUNCTION ator(a)\n CHARACTER(len=*), INTENT(in) :: a\n REAL(real_8) :: ator\n\n READ (a, '(E26.15)') ator\n END FUNCTION ator\n\nEND MODULE dbcsr_toollib\n" }, { "path": "src/work/PACKAGE", "content": "{\n\"description\": \"DBCSR block level routines\",\n\"archive\": \"libdbcsr\",\n\"requires\": [\"../base\", \"../dist\", \"../utils\", \"../core\", \"../data\", \"../block\"],\n}\n" }, { "path": "src/work/dbcsr_work_operations.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_work_operations\n !! DBCSR work matrix utilities\n\n USE dbcsr_array_types, ONLY: array_data, &\n array_hold, &\n array_i1d_obj, &\n array_new, &\n array_nullify, &\n array_release, &\n array_size\n USE dbcsr_btree, ONLY: btree_data_cp2d, &\n btree_data_dp2d, &\n btree_data_sp2d, &\n btree_data_zp2d\n USE dbcsr_block_operations, ONLY: block_copy_c, &\n block_copy_d, &\n block_copy_s, &\n block_copy_z, &\n dbcsr_data_copy, &\n dbcsr_data_set\n USE dbcsr_config, ONLY: default_resize_factor\n USE dbcsr_data_methods, ONLY: &\n dbcsr_data_clear_pointer, dbcsr_data_ensure_size, dbcsr_data_get_memory_type, &\n dbcsr_data_get_size, dbcsr_data_get_size_referenced, dbcsr_data_get_type, dbcsr_data_hold, &\n dbcsr_data_init, dbcsr_data_new, dbcsr_data_release, dbcsr_data_set_size_referenced, &\n dbcsr_data_valid, dbcsr_get_data_p_c, dbcsr_get_data_p_d, dbcsr_get_data_p_s, &\n dbcsr_get_data_p_z\n USE dbcsr_data_operations, ONLY: dbcsr_data_copyall, &\n dbcsr_sort_data, &\n dbcsr_switch_data_area\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_has_threads, &\n dbcsr_distribution_hold, &\n dbcsr_distribution_make_threads, &\n dbcsr_distribution_ncols, &\n dbcsr_distribution_nrows, &\n dbcsr_distribution_release\n USE dbcsr_index_operations, ONLY: dbcsr_addto_index_array, &\n dbcsr_build_row_index, &\n dbcsr_clearfrom_index_array, &\n dbcsr_index_prune_deleted, &\n dbcsr_make_dbcsr_index, &\n dbcsr_make_index_exist, &\n dbcsr_repoint_index, &\n dbcsr_sort_indices\n USE dbcsr_iterator_operations, ONLY: dbcsr_iterator_blocks_left, &\n dbcsr_iterator_next_block, &\n dbcsr_iterator_start, &\n dbcsr_iterator_stop\n USE dbcsr_mem_methods, ONLY: dbcsr_memtype_equal\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_sizes, dbcsr_distribution, dbcsr_get_data_memory_type, &\n dbcsr_get_data_size_used, dbcsr_get_data_type, dbcsr_get_index_memory_type, &\n dbcsr_get_matrix_type, dbcsr_get_replication_type, dbcsr_matrix_counter, &\n dbcsr_max_col_size, dbcsr_max_row_size, dbcsr_mutable_destroy, dbcsr_mutable_init, &\n dbcsr_mutable_instantiated, dbcsr_mutable_new, dbcsr_mutable_release, dbcsr_name, &\n dbcsr_row_block_sizes, dbcsr_use_mutable, dbcsr_valid_index, dbcsr_wm_use_mutable\n USE dbcsr_ptr_util, ONLY: ensure_array_size\n USE dbcsr_toollib, ONLY: dbcsr_unpack_i8_2i4, &\n sort\n USE dbcsr_string_utilities, ONLY: uppercase\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_iterator, dbcsr_memtype_default, &\n dbcsr_memtype_type, dbcsr_meta_size, dbcsr_num_slots, dbcsr_repl_col, dbcsr_repl_full, &\n dbcsr_repl_none, dbcsr_repl_row, dbcsr_slot_blk_p, dbcsr_slot_col_i, dbcsr_slot_home_coli, &\n dbcsr_slot_home_pcol, dbcsr_slot_home_prow, dbcsr_slot_home_rowi, dbcsr_slot_home_vpcol, &\n dbcsr_slot_home_vprow, dbcsr_slot_nblkcols_local, dbcsr_slot_nblkcols_total, &\n dbcsr_slot_nblkrows_local, dbcsr_slot_nblkrows_total, dbcsr_slot_nblks, &\n dbcsr_slot_nfullcols_local, dbcsr_slot_nfullcols_total, dbcsr_slot_nfullrows_local, &\n dbcsr_slot_nfullrows_total, dbcsr_slot_nze, dbcsr_slot_row_p, dbcsr_slot_size, dbcsr_type, &\n dbcsr_type_antihermitian, dbcsr_type_antisymmetric, dbcsr_type_complex_4, &\n dbcsr_type_complex_8, dbcsr_type_hermitian, dbcsr_type_no_symmetry, dbcsr_type_real_4, &\n dbcsr_type_real_8, dbcsr_type_real_default, dbcsr_type_symmetric, dbcsr_work_type\n USE dbcsr_dist_util, ONLY: convert_sizes_to_offsets, &\n dbcsr_calc_block_sizes, &\n dbcsr_verify_matrix, &\n meta_from_dist\n USE dbcsr_kinds, ONLY: default_string_length, &\n int_8, &\n real_4, &\n real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_max_threads, omp_get_thread_num, omp_get_num_threads, omp_in_parallel\n\n IMPLICIT NONE\n PRIVATE\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_work_operations'\n\n LOGICAL, PARAMETER :: careful_mod = .FALSE.\n\n PUBLIC :: dbcsr_create, dbcsr_work_create, dbcsr_finalize, dbcsr_special_finalize\n PUBLIC :: dbcsr_add_wm_from_matrix, &\n add_work_coordinate\n PUBLIC :: dbcsr_work_destroy\n\n INTERFACE dbcsr_create\n MODULE PROCEDURE dbcsr_create_new, dbcsr_create_template\n END INTERFACE\n\n TYPE i_array_p\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: p => NULL()\n END TYPE i_array_p\n\nCONTAINS\n\n SUBROUTINE dbcsr_create_new(matrix, name, dist, matrix_type, &\n row_blk_size, col_blk_size, row_blk_size_obj, col_blk_size_obj, &\n nze, data_type, data_buffer, &\n data_memory_type, index_memory_type, &\n max_rbs, max_cbs, &\n row_blk_offset, col_blk_offset, &\n thread_dist, &\n reuse, reuse_arrays, mutable_work, make_index, replication_type)\n !! Creates a matrix, allocating the essentials.\n !!\n !! The matrix itself is allocated, as well as the essential parts of\n !! the index. When passed the nze argument, the data is also allocated\n !! to that size.\n !! see dbcsr_types.F\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! new matrix\n CHARACTER(len=*), INTENT(IN) :: name\n TYPE(dbcsr_distribution_obj), INTENT(IN) :: dist\n !! distribution_2d distribution\n CHARACTER, INTENT(IN) :: matrix_type\n !! 'N' for normal, 'T' for transposed, 'S' for symmetric, and 'A' for antisymmetric\n INTEGER, DIMENSION(:), INTENT(INOUT), POINTER, &\n CONTIGUOUS, OPTIONAL :: row_blk_size, col_blk_size\n TYPE(array_i1d_obj), INTENT(IN), OPTIONAL :: row_blk_size_obj, col_blk_size_obj\n INTEGER, INTENT(IN), OPTIONAL :: nze, data_type\n !! number of elements\n !! type of data from 'rRcC' for single/double precision real/complex, default is 'R'\n TYPE(dbcsr_data_obj), INTENT(IN), OPTIONAL :: data_buffer\n TYPE(dbcsr_memtype_type), INTENT(IN), OPTIONAL :: data_memory_type, index_memory_type\n !! allocate indices and data using special memory\n !! allocate indices using special memory\n INTEGER, INTENT(IN), OPTIONAL :: max_rbs, max_cbs\n TYPE(array_i1d_obj), INTENT(IN), OPTIONAL :: row_blk_offset, col_blk_offset\n TYPE(dbcsr_distribution_obj), INTENT(IN), OPTIONAL :: thread_dist\n LOGICAL, INTENT(IN), OPTIONAL :: reuse, reuse_arrays, mutable_work, &\n make_index\n !! reuses an existing matrix, default is to create a fresh one\n !! uses the mutable data for working and not the append-only data; default is append-only\n CHARACTER, INTENT(IN), OPTIONAL :: replication_type\n !! replication to be used for this matrix; default is dbcsr_repl_none\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_create_new'\n\n CHARACTER :: matrix_type_l\n INTEGER :: handle, my_nze\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: vec_col_blk_offset, vec_row_blk_offset\n INTEGER, DIMENSION(dbcsr_meta_size) :: new_meta\n LOGICAL :: hijack, my_make_index\n\n! ---------------------------------------------------------------------------\n\n MARK_USED(thread_dist) ! only used with OMP\n\n CALL timeset(routineN, handle)\n\n ! Reuse matrix only if has actually been allocated.\n hijack = ASSOCIATED(matrix%index)\n IF (PRESENT(reuse)) hijack = reuse\n\n my_make_index = .TRUE.\n IF (PRESENT(make_index)) my_make_index = make_index\n\n IF (.NOT. hijack) THEN\n matrix = dbcsr_type()\n matrix%refcount = 1\n END IF\n!$OMP CRITICAL (crit_counter)\n matrix%serial_number = dbcsr_matrix_counter\n dbcsr_matrix_counter = dbcsr_matrix_counter + 1\n!$OMP END CRITICAL (crit_counter)\n ! Mark matrix index as having an invalid index.\n matrix%valid = .FALSE.\n matrix%name = name\n ! Sets the type of matrix building/modifying work structures.\n IF (PRESENT(mutable_work)) THEN\n matrix%work_mutable = mutable_work\n ELSE\n matrix%work_mutable = .FALSE.\n END IF\n ! Sets the correct data type.\n IF (PRESENT(data_type)) THEN\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n matrix%data_type = dbcsr_type_real_4\n CASE (dbcsr_type_real_8)\n matrix%data_type = dbcsr_type_real_8\n CASE (dbcsr_type_complex_4)\n matrix%data_type = dbcsr_type_complex_4\n CASE (dbcsr_type_complex_8)\n matrix%data_type = dbcsr_type_complex_8\n CASE DEFAULT\n DBCSR_ABORT(\"Invalid matrix type\")\n END SELECT\n ELSE\n matrix%data_type = dbcsr_type_real_default\n END IF\n\n matrix%data_memory_type = dbcsr_memtype_default\n IF (PRESENT(data_memory_type)) &\n matrix%data_memory_type = data_memory_type\n\n matrix%index_memory_type = dbcsr_memtype_default\n IF (PRESENT(index_memory_type)) &\n matrix%index_memory_type = index_memory_type\n\n IF (hijack) THEN\n ! Release/deallocate elements that are replaced or not needed\n ! by the new matrix. This is similar to what dbcsr_destroy\n ! does, except that it keeps the index and data.\n CALL array_release(matrix%row_blk_size)\n CALL array_release(matrix%col_blk_size)\n CALL array_release(matrix%row_blk_offset)\n CALL array_release(matrix%col_blk_offset)\n IF (matrix%has_local_rows) &\n CALL array_release(matrix%local_rows)\n IF (matrix%has_global_rows) &\n CALL array_release(matrix%global_rows)\n IF (matrix%has_local_cols) &\n CALL array_release(matrix%local_cols)\n IF (matrix%has_global_cols) &\n CALL array_release(matrix%global_cols)\n CALL dbcsr_distribution_release(matrix%dist)\n IF (ASSOCIATED(matrix%wms)) THEN\n CALL dbcsr_work_destroy_all(matrix)\n END IF\n CALL array_nullify(matrix%local_rows)\n CALL array_nullify(matrix%global_rows)\n CALL array_nullify(matrix%local_cols)\n CALL array_nullify(matrix%global_cols)\n !\n IF (matrix%data_type /= matrix%data_area%d%data_type) &\n DBCSR_ABORT(\"Inconsistent data type for the existing buffer.\")\n CALL dbcsr_data_set_size_referenced(matrix%data_area, 0)\n ELSE\n ! Invalidate index\n NULLIFY (matrix%index)\n ! Invalidate data\n IF (PRESENT(data_buffer)) THEN\n IF (.NOT. dbcsr_data_valid(data_buffer)) &\n DBCSR_ABORT(\"Input data buffer not valid.\")\n IF (matrix%data_type /= data_buffer%d%data_type) &\n DBCSR_ABORT(\"Input buffer data type different by matrix data type.\")\n matrix%data_memory_type = data_buffer%d%memory_type\n matrix%data_area = data_buffer\n CALL dbcsr_data_hold(matrix%data_area)\n ELSE\n CALL dbcsr_data_init(matrix%data_area)\n END IF\n END IF\n ! These are always invalidated.\n NULLIFY (matrix%row_p, matrix%col_i, matrix%blk_p, matrix%thr_c, &\n matrix%coo_l)\n IF (PRESENT(row_blk_size_obj)) THEN\n matrix%row_blk_size = row_blk_size_obj\n CALL array_hold(matrix%row_blk_size)\n ELSEIF (PRESENT(row_blk_size)) THEN\n CALL array_new(matrix%row_blk_size, row_blk_size, gift=reuse_arrays)\n ELSE\n DBCSR_ABORT(\"Missing row_blk_size\")\n END IF\n IF (PRESENT(max_rbs)) THEN\n matrix%max_rbs = max_rbs\n ELSE IF (array_size(matrix%row_blk_size) .GT. 0) THEN\n matrix%max_rbs = MAXVAL(array_data(matrix%row_blk_size))\n ELSE\n matrix%max_rbs = 0\n END IF\n IF (PRESENT(col_blk_size_obj)) THEN\n matrix%col_blk_size = col_blk_size_obj\n CALL array_hold(matrix%col_blk_size)\n ELSEIF (PRESENT(col_blk_size)) THEN\n CALL array_new(matrix%col_blk_size, col_blk_size, gift=reuse_arrays)\n ELSE\n DBCSR_ABORT(\"Missing col_blk_size\")\n END IF\n IF (PRESENT(max_cbs)) THEN\n matrix%max_cbs = max_cbs\n ELSE IF (array_size(matrix%col_blk_size) .GT. 0) THEN\n matrix%max_cbs = MAXVAL(array_data(matrix%col_blk_size))\n ELSE\n matrix%max_cbs = 0\n END IF\n !\n IF (array_size(matrix%row_blk_size) /= dbcsr_distribution_nrows(dist)) &\n DBCSR_ABORT(\"Number of blocked rows does match blocked row distribution.\")\n IF (array_size(matrix%col_blk_size) /= dbcsr_distribution_ncols(dist)) &\n DBCSR_ABORT(\"Number of blocked columns does match blocked column distribution.\")\n ! initialize row/col offsets\n IF (PRESENT(row_blk_offset)) THEN\n IF (dbcsr_distribution_nrows(dist) + 1 /= array_size(row_blk_offset)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"Number of blocked offset rows does match blocked row distribution.\")\n matrix%row_blk_offset = row_blk_offset\n CALL array_hold(matrix%row_blk_offset)\n ELSE\n ALLOCATE (vec_row_blk_offset(array_size(matrix%row_blk_size) + 1))\n CALL convert_sizes_to_offsets(array_data(matrix%row_blk_size), vec_row_blk_offset)\n CALL array_new(matrix%row_blk_offset, vec_row_blk_offset, gift=.TRUE.)\n END IF\n\n IF (PRESENT(col_blk_offset)) THEN\n IF (dbcsr_distribution_ncols(dist) + 1 /= array_size(col_blk_offset)) &\n CALL dbcsr_abort(__LOCATION__, &\n \"Number of blocked offset columns does match blocked column distribution.\")\n matrix%col_blk_offset = col_blk_offset\n CALL array_hold(matrix%col_blk_offset)\n ELSE\n ALLOCATE (vec_col_blk_offset(array_size(matrix%col_blk_size) + 1))\n CALL convert_sizes_to_offsets(array_data(matrix%col_blk_size), vec_col_blk_offset)\n CALL array_new(matrix%col_blk_offset, vec_col_blk_offset, gift=.TRUE.)\n END IF\n\n matrix%dist = dist\n CALL dbcsr_distribution_hold(matrix%dist)\n!$ IF (.NOT. dbcsr_distribution_has_threads(matrix%dist) .AND. PRESENT(thread_dist)) THEN\n!$ IF (dbcsr_distribution_has_threads(thread_dist)) THEN\n!$ matrix%dist%d%num_threads = thread_dist%d%num_threads\n!$ matrix%dist%d%has_thread_dist = .TRUE.\n!$ matrix%dist%d%thread_dist = thread_dist%d%thread_dist\n!$ CALL array_hold(matrix%dist%d%thread_dist)\n!$ END IF\n!$ END IF\n!$ IF (.NOT. dbcsr_distribution_has_threads(matrix%dist)) THEN\n!$ CALL dbcsr_distribution_make_threads(matrix%dist, &\n!$ array_data(matrix%row_blk_size))\n!$ END IF\n ! Set up some data.\n IF (my_make_index) THEN\n CALL meta_from_dist(new_meta, dist, array_data(matrix%row_blk_size), &\n array_data(matrix%col_blk_size))\n matrix%nblkrows_total = new_meta(dbcsr_slot_nblkrows_total)\n matrix%nblkcols_total = new_meta(dbcsr_slot_nblkcols_total)\n matrix%nfullrows_total = new_meta(dbcsr_slot_nfullrows_total)\n matrix%nfullcols_total = new_meta(dbcsr_slot_nfullcols_total)\n matrix%nblkrows_local = new_meta(dbcsr_slot_nblkrows_local)\n matrix%nblkcols_local = new_meta(dbcsr_slot_nblkcols_local)\n matrix%nfullrows_local = new_meta(dbcsr_slot_nfullrows_local)\n matrix%nfullcols_local = new_meta(dbcsr_slot_nfullcols_local)\n END IF\n my_nze = 0; IF (PRESENT(nze)) my_nze = nze\n matrix%nblks = 0\n matrix%nze = 0\n\n IF (PRESENT(replication_type)) THEN\n IF (replication_type .NE. dbcsr_repl_none &\n .AND. replication_type .NE. dbcsr_repl_full &\n .AND. replication_type .NE. dbcsr_repl_row &\n .AND. replication_type .NE. dbcsr_repl_col) &\n DBCSR_ABORT(\"Invalid replication type '\"//replication_type//\"'\")\n IF (replication_type .EQ. dbcsr_repl_row .OR. replication_type .EQ. dbcsr_repl_col) &\n DBCSR_WARN(\"Row and column replication not fully supported\")\n matrix%replication_type = replication_type\n ELSE\n matrix%replication_type = dbcsr_repl_none\n END IF\n !\n ! Setup a matrix from scratch\n IF (.NOT. hijack) THEN\n IF (.NOT. PRESENT(data_buffer)) THEN\n CALL dbcsr_data_new(matrix%data_area, matrix%data_type, my_nze, &\n memory_type=matrix%data_memory_type)\n CALL dbcsr_data_set_size_referenced(matrix%data_area, 0)\n END IF\n !\n IF (my_make_index) THEN\n NULLIFY (matrix%index)\n CALL ensure_array_size(matrix%index, lb=1, ub=dbcsr_num_slots, &\n zero_pad=.TRUE., memory_type=matrix%index_memory_type)\n END IF\n END IF\n IF (my_make_index) THEN\n IF (LBOUND(matrix%index, 1) .GT. 1 &\n .OR. UBOUND(matrix%index, 1) .LT. dbcsr_num_slots) &\n DBCSR_ABORT(\"Index is not large enough\")\n matrix%index(1:dbcsr_num_slots) = 0\n matrix%index(1:dbcsr_meta_size) = new_meta(1:dbcsr_meta_size)\n matrix%index(dbcsr_slot_size) = dbcsr_num_slots\n END IF\n !\n matrix%symmetry = .FALSE.\n matrix%negate_real = .FALSE.\n matrix%negate_imaginary = .FALSE.\n !matrix%transpose = .FALSE.\n matrix_type_l = matrix_type\n CALL uppercase(matrix_type_l)\n SELECT CASE (matrix_type_l)\n CASE (dbcsr_type_no_symmetry)\n CASE (dbcsr_type_symmetric)\n matrix%symmetry = .TRUE.\n CASE (dbcsr_type_antisymmetric)\n matrix%symmetry = .TRUE.\n matrix%negate_real = .TRUE.\n matrix%negate_imaginary = .TRUE.\n CASE (dbcsr_type_hermitian)\n matrix%symmetry = .TRUE.\n matrix%negate_imaginary = .TRUE.\n CASE (dbcsr_type_antihermitian)\n matrix%symmetry = .TRUE.\n matrix%negate_real = .TRUE.\n CASE DEFAULT\n DBCSR_ABORT(\"Invalid matrix type.\")\n END SELECT\n matrix%bcsc = .FALSE.\n matrix%local_indexing = .FALSE.\n matrix%list_indexing = .FALSE.\n CALL array_nullify(matrix%local_rows)\n CALL array_nullify(matrix%global_rows)\n CALL array_nullify(matrix%local_cols)\n CALL array_nullify(matrix%global_cols)\n matrix%has_local_rows = .FALSE.\n matrix%has_global_rows = .FALSE.\n matrix%has_local_cols = .FALSE.\n matrix%has_global_cols = .FALSE.\n IF (my_make_index) THEN\n CALL dbcsr_make_index_exist(matrix)\n END IF\n matrix%valid = .TRUE.\n CALL timestop(handle)\n END SUBROUTINE dbcsr_create_new\n\n SUBROUTINE dbcsr_create_template(matrix, template, name, dist, matrix_type, &\n row_blk_size, col_blk_size, row_blk_size_obj, col_blk_size_obj, &\n nze, data_type, &\n data_buffer, data_memory_type, index_memory_type, &\n max_rbs, max_cbs, &\n row_blk_offset, col_blk_offset, &\n reuse_arrays, mutable_work, make_index, replication_type)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n TYPE(dbcsr_type), INTENT(IN) :: template\n CHARACTER(len=*), INTENT(IN), OPTIONAL :: name\n TYPE(dbcsr_distribution_obj), INTENT(IN), OPTIONAL :: dist\n CHARACTER, INTENT(IN), OPTIONAL :: matrix_type\n INTEGER, DIMENSION(:), INTENT(INOUT), OPTIONAL, &\n POINTER, CONTIGUOUS :: row_blk_size, col_blk_size\n TYPE(array_i1d_obj), INTENT(IN), OPTIONAL :: row_blk_size_obj, col_blk_size_obj\n INTEGER, INTENT(IN), OPTIONAL :: nze, data_type\n TYPE(dbcsr_data_obj), INTENT(IN), OPTIONAL :: data_buffer\n TYPE(dbcsr_memtype_type), INTENT(IN), OPTIONAL :: data_memory_type, index_memory_type\n INTEGER, INTENT(IN), OPTIONAL :: max_rbs, max_cbs\n TYPE(array_i1d_obj), INTENT(IN), OPTIONAL :: row_blk_offset, col_blk_offset\n LOGICAL, INTENT(IN), OPTIONAL :: reuse_arrays, mutable_work, make_index\n CHARACTER, INTENT(IN), OPTIONAL :: replication_type\n\n CHARACTER :: new_matrix_type, new_replication_type\n CHARACTER(len=default_string_length) :: new_name\n INTEGER :: new_data_type, new_max_cbs, new_max_rbs\n LOGICAL :: my_make_index, new_mutable_work\n TYPE(array_i1d_obj) :: new_col_blk_offset, new_row_blk_offset\n TYPE(dbcsr_distribution_obj) :: new_dist\n TYPE(dbcsr_memtype_type) :: new_data_memory_type, &\n new_index_memory_type\n\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: blk_size\n\n! ---------------------------------------------------------------------------\n\n IF (PRESENT(name)) THEN\n new_name = TRIM(name)\n ELSE\n new_name = TRIM(dbcsr_name(template))\n END IF\n IF (PRESENT(dist)) THEN\n new_dist = dist\n ELSE\n new_dist = dbcsr_distribution(template)\n END IF\n IF (PRESENT(matrix_type)) THEN\n new_matrix_type = matrix_type\n ELSE\n new_matrix_type = dbcsr_get_matrix_type(template)\n END IF\n !\n IF ((PRESENT(row_blk_size) .NEQV. PRESENT(col_blk_size)) .OR. &\n (PRESENT(row_blk_size_obj) .NEQV. PRESENT(col_blk_size_obj))) THEN\n DBCSR_ABORT(\"Both row_blk_size and col_blk_size must be provided\")\n END IF\n !\n IF (PRESENT(max_rbs)) new_max_rbs = max_rbs\n IF (PRESENT(row_blk_offset)) new_row_blk_offset = row_blk_offset\n NULLIFY (blk_size)\n IF (PRESENT(row_blk_size_obj)) THEN\n blk_size => array_data(row_blk_size_obj)\n ELSEIF (PRESENT(row_blk_size)) THEN\n blk_size => row_blk_size\n END IF\n IF (ASSOCIATED(blk_size)) THEN\n IF (.NOT. PRESENT(max_rbs)) &\n new_max_rbs = MAXVAL(blk_size)\n ELSE\n IF (.NOT. PRESENT(max_rbs)) &\n new_max_rbs = dbcsr_max_row_size(template)\n IF (.NOT. PRESENT(row_blk_offset)) &\n new_row_blk_offset = template%row_blk_offset\n END IF\n !\n IF (PRESENT(max_cbs)) new_max_cbs = max_cbs\n IF (PRESENT(col_blk_offset)) new_col_blk_offset = col_blk_offset\n NULLIFY (blk_size)\n IF (PRESENT(col_blk_size_obj)) THEN\n blk_size => array_data(col_blk_size_obj)\n ELSEIF (PRESENT(col_blk_size)) THEN\n blk_size => col_blk_size\n END IF\n IF (ASSOCIATED(blk_size)) THEN\n IF (.NOT. PRESENT(max_cbs)) &\n new_max_cbs = MAXVAL(blk_size)\n ELSE\n IF (.NOT. PRESENT(max_cbs)) &\n new_max_cbs = dbcsr_max_col_size(template)\n IF (.NOT. PRESENT(col_blk_offset)) &\n new_col_blk_offset = template%col_blk_offset\n END IF\n IF (PRESENT(data_type)) THEN\n new_data_type = data_type\n ELSE\n new_data_type = dbcsr_get_data_type(template)\n END IF\n IF (PRESENT(data_memory_type)) THEN\n new_data_memory_type = data_memory_type\n ELSE\n new_data_memory_type = dbcsr_get_data_memory_type(template)\n END IF\n IF (PRESENT(index_memory_type)) THEN\n new_index_memory_type = index_memory_type\n ELSE\n new_index_memory_type = dbcsr_get_index_memory_type(template)\n END IF\n IF (PRESENT(replication_type)) THEN\n new_replication_type = replication_type\n ELSE\n new_replication_type = dbcsr_get_replication_type(template)\n END IF\n IF (PRESENT(mutable_work)) THEN\n new_mutable_work = mutable_work\n ELSE\n new_mutable_work = dbcsr_use_mutable(template)\n END IF\n IF (PRESENT(row_blk_size_obj)) THEN\n CALL dbcsr_create(matrix, name=new_name, dist=new_dist, &\n matrix_type=new_matrix_type, &\n row_blk_size_obj=row_blk_size_obj, &\n col_blk_size_obj=col_blk_size_obj, &\n nze=nze, &\n data_type=new_data_type, &\n data_buffer=data_buffer, &\n data_memory_type=new_data_memory_type, &\n index_memory_type=new_index_memory_type, &\n max_rbs=new_max_rbs, max_cbs=new_max_cbs, &\n row_blk_offset=row_blk_offset, col_blk_offset=col_blk_offset, &\n reuse_arrays=reuse_arrays, &\n mutable_work=new_mutable_work, &\n make_index=make_index, &\n replication_type=new_replication_type)\n ELSEIF (PRESENT(row_blk_size)) THEN\n CALL dbcsr_create(matrix, name=new_name, dist=new_dist, &\n matrix_type=new_matrix_type, &\n row_blk_size=row_blk_size, &\n col_blk_size=col_blk_size, &\n nze=nze, &\n data_type=new_data_type, &\n data_buffer=data_buffer, &\n data_memory_type=new_data_memory_type, &\n index_memory_type=new_index_memory_type, &\n max_rbs=new_max_rbs, max_cbs=new_max_cbs, &\n row_blk_offset=row_blk_offset, col_blk_offset=col_blk_offset, &\n reuse_arrays=reuse_arrays, &\n mutable_work=new_mutable_work, &\n make_index=make_index, &\n replication_type=new_replication_type)\n ELSE\n CALL dbcsr_create(matrix, name=new_name, dist=new_dist, &\n matrix_type=new_matrix_type, &\n row_blk_size_obj=template%row_blk_size, &\n col_blk_size_obj=template%col_blk_size, &\n nze=nze, &\n data_type=new_data_type, &\n data_buffer=data_buffer, &\n data_memory_type=new_data_memory_type, &\n index_memory_type=new_index_memory_type, &\n max_rbs=new_max_rbs, max_cbs=new_max_cbs, &\n row_blk_offset=new_row_blk_offset, col_blk_offset=new_col_blk_offset, &\n thread_dist=dbcsr_distribution(template), &\n reuse_arrays=reuse_arrays, &\n mutable_work=new_mutable_work, &\n make_index=make_index, &\n replication_type=new_replication_type)\n END IF\n ! Copy stuff from the meta-array. These are not normally needed,\n ! but have to be here for creating matrices from \"image\" matrices.\n my_make_index = .TRUE.\n IF (PRESENT(make_index)) my_make_index = make_index\n IF (my_make_index) THEN\n matrix%index(dbcsr_slot_home_prow) = template%index(dbcsr_slot_home_prow)\n matrix%index(dbcsr_slot_home_rowi) = template%index(dbcsr_slot_home_rowi)\n matrix%index(dbcsr_slot_home_pcol) = template%index(dbcsr_slot_home_pcol)\n matrix%index(dbcsr_slot_home_coli) = template%index(dbcsr_slot_home_coli)\n matrix%index(dbcsr_slot_home_vprow) = template%index(dbcsr_slot_home_vprow)\n matrix%index(dbcsr_slot_home_vpcol) = template%index(dbcsr_slot_home_vpcol)\n END IF\n IF (PRESENT(row_blk_size) .AND. .NOT. PRESENT(row_blk_offset)) THEN\n CALL array_release(new_row_blk_offset)\n END IF\n IF (PRESENT(col_blk_size) .AND. .NOT. PRESENT(col_blk_offset)) THEN\n CALL array_release(new_col_blk_offset)\n END IF\n\n END SUBROUTINE dbcsr_create_template\n\n SUBROUTINE dbcsr_init_wm(wm, data_type, nblks_guess, sizedata_guess, memory_type)\n !! Initializes one work matrix\n\n TYPE(dbcsr_work_type), INTENT(OUT) :: wm\n !! initialized work matrix\n INTEGER, INTENT(IN) :: data_type\n INTEGER, INTENT(IN), OPTIONAL :: nblks_guess, sizedata_guess\n !! estimated number of blocks\n !! estimated size of data\n TYPE(dbcsr_memtype_type), INTENT(IN), OPTIONAL :: memory_type\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_init_wm'\n INTEGER :: handle, nblks, stat\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, handle)\n wm%lastblk = 0\n wm%datasize = 0\n ! Index\n IF (PRESENT(nblks_guess)) THEN\n nblks = nblks_guess\n IF (nblks_guess < 0) &\n DBCSR_ABORT(\"Can not have negative block count.\")\n ALLOCATE (wm%row_i(nblks), stat=stat)\n IF (stat /= 0) DBCSR_ABORT(\"wm%row_i\")\n ALLOCATE (wm%col_i(nblks), stat=stat)\n IF (stat /= 0) DBCSR_ABORT(\"wm%col_i\")\n ALLOCATE (wm%blk_p(nblks), stat=stat)\n IF (stat /= 0) DBCSR_ABORT(\"wm%blk_p\")\n ELSE\n NULLIFY (wm%row_i, wm%col_i, wm%blk_p)\n !nblks = CEILING (REAL (matrix%nblkrows_local * matrix%nblkcols_local)&\n ! / REAL (dbcsr_mp_numnodes (dbcsr_distribution_mp (matrix%dist))))\n END IF\n ! Data\n CALL dbcsr_data_init(wm%data_area)\n IF (PRESENT(sizedata_guess)) THEN\n IF (sizedata_guess < 0) &\n DBCSR_ABORT(\"Can not have negative data size.\")\n CALL dbcsr_data_new(wm%data_area, data_type, &\n data_size=sizedata_guess, memory_type=memory_type)\n ELSE\n CALL dbcsr_data_new(wm%data_area, data_type, memory_type=memory_type)\n END IF\n CALL dbcsr_mutable_init(wm%mutable)\n IF (careful_mod) CALL timestop(handle)\n END SUBROUTINE dbcsr_init_wm\n\n SUBROUTINE dbcsr_work_create(matrix, nblks_guess, sizedata_guess, n, &\n work_mutable, memory_type)\n !! Creates a the working matrix(es) for a DBCSR matrix.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! new matrix\n INTEGER, INTENT(IN), OPTIONAL :: nblks_guess, sizedata_guess, n\n !! estimated number of blocks\n !! estimated size of data\n !! number work matrices to create, default is 1\n LOGICAL, INTENT(in), OPTIONAL :: work_mutable\n !! use mutable work type, default is what was specified in create\n TYPE(dbcsr_memtype_type), INTENT(IN), OPTIONAL :: memory_type\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_work_create'\n\n INTEGER :: handle, iw, nw, ow\n LOGICAL :: wms_new, wms_realloc\n TYPE(dbcsr_work_type), DIMENSION(:), POINTER :: wms\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n IF (PRESENT(n)) THEN\n nw = n\n ELSE\n nw = 1\n!$ IF (omp_in_parallel()) THEN\n!$ nw = omp_get_num_threads()\n!$ ELSE\n!$ nw = omp_get_max_threads()\n!$ END IF\n END IF\n!$OMP MASTER\n wms_new = .NOT. ASSOCIATED(matrix%wms)\n wms_realloc = .FALSE.\n IF (ASSOCIATED(matrix%wms)) THEN\n ow = SIZE(matrix%wms)\n IF (ow .LT. nw) &\n DBCSR_WARN(\"Number of work matrices less than threads.\")\n IF (ow .LT. nw) wms_realloc = .TRUE.\n END IF\n IF (PRESENT(work_mutable)) THEN\n matrix%work_mutable = work_mutable\n END IF\n IF (wms_realloc) THEN\n ALLOCATE (wms(nw))\n wms(1:ow) = matrix%wms(1:ow)\n DEALLOCATE (matrix%wms)\n matrix%wms => wms\n DO iw = ow + 1, nw\n CALL dbcsr_init_wm(matrix%wms(iw), matrix%data_type, &\n nblks_guess=nblks_guess, sizedata_guess=sizedata_guess, &\n memory_type=memory_type)\n IF (matrix%work_mutable) &\n CALL dbcsr_mutable_new(matrix%wms(iw)%mutable, &\n dbcsr_get_data_type(matrix))\n END DO\n END IF\n IF (wms_new) THEN\n ALLOCATE (matrix%wms(nw))\n DO iw = 1, nw\n CALL dbcsr_init_wm(matrix%wms(iw), matrix%data_type, &\n nblks_guess=nblks_guess, sizedata_guess=sizedata_guess, &\n memory_type=memory_type)\n IF (matrix%work_mutable) &\n CALL dbcsr_mutable_new(matrix%wms(iw)%mutable, &\n dbcsr_get_data_type(matrix))\n END DO\n END IF\n matrix%valid = .FALSE.\n!$OMP END MASTER\n CALL timestop(handle)\n END SUBROUTINE dbcsr_work_create\n\n SUBROUTINE dbcsr_finalize(matrix, reshuffle)\n !! Creates the final dbcsr_type matrix from the working matrix.\n !! Work matrices (array or tree-based) are merged into the base DBCSR matrix.\n !! If a matrix is marked as having a valid index, then nothing is done.\n !! Deleted blocks are pruned from the index.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! final matrix\n LOGICAL, INTENT(IN), OPTIONAL :: reshuffle\n !! whether the data should be reshuffled, default is false\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_finalize'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle, i, nblks, nwms, start_offset\n INTEGER, ALLOCATABLE, DIMENSION(:) :: empty_row_p\n INTEGER, DIMENSION(:), POINTER, SAVE :: old_blk_p, old_col_i, old_row_p\n LOGICAL :: can_quick, fake_row_p, sort_data, spawn\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n!$OMP MASTER\n NULLIFY (old_blk_p, old_col_i, old_row_p)\n!$OMP END MASTER\n\n!$OMP BARRIER\n ! If the matrix is not marked as dirty then skip the work.\n IF (dbcsr_valid_index(matrix)) THEN\n !\"No need to finalize a valid matrix, skipping.\"\n !\n ! A matrix with a valid index should not have associated work\n ! arrays. This may happen when this routine is called on a\n ! matrix that was not changed.\n!$OMP BARRIER\n!$OMP MASTER\n IF (ASSOCIATED(matrix%wms)) &\n CALL dbcsr_work_destroy_all(matrix)\n matrix%valid = .TRUE.\n!$OMP END MASTER\n!$OMP BARRIER\n CALL timestop(handle)\n RETURN\n END IF\n !\n ! If possible, data copying is avoided.\n IF (PRESENT(reshuffle)) THEN\n sort_data = reshuffle\n ELSE\n sort_data = .FALSE.\n END IF\n !\n ! Now make sure that a valid row_p exists. Also clear the row_p if\n ! the matrix is declared to have 0 blocks.\n!$OMP MASTER\n fake_row_p = .NOT. ASSOCIATED(matrix%row_p)\n IF (ASSOCIATED(matrix%row_p)) THEN\n fake_row_p = SIZE(matrix%row_p) .LE. 1\n END IF\n fake_row_p = fake_row_p .OR. matrix%nblks .EQ. 0\n!$OMP END MASTER\n !\n ! See where data will be appended in the main data\n ! area. Alternatively, set to the start if the matrix is declared\n ! to have no data. (This value is ignored if reshuffle is true\n ! because the main data area is always new.)\n start_offset = matrix%nze\n i = dbcsr_get_data_size_used(matrix)\n!$OMP MASTER\n matrix%nze = 0\n!$OMP END MASTER\n!$OMP BARRIER\n!$OMP ATOMIC\n matrix%nze = matrix%nze + i\n!$OMP BARRIER\n IF (dbg) THEN\n WRITE (*, *) routineN//\" sizes\", matrix%nze, i, &\n dbcsr_data_get_size_referenced(matrix%data_area), &\n dbcsr_data_get_size(matrix%data_area)\n END IF\n IF (.FALSE. .AND. dbcsr_data_get_size_referenced(matrix%data_area) .NE. &\n matrix%nze) THEN\n IF (matrix%nze .NE. dbcsr_data_get_size_referenced(matrix%data_area)) &\n DBCSR_WARN(\"Should reshuffle.\")\n IF (ASSOCIATED(matrix%wms)) THEN\n sort_data = .NOT. dbcsr_wm_use_mutable(matrix%wms(1))\n END IF\n END IF\n IF (sort_data .AND. matrix%nze .GT. 0) THEN\n CALL dbcsr_add_wm_from_matrix(matrix)\n matrix%nze = 0\n!$OMP MASTER\n fake_row_p = .TRUE.\n!$OMP END MASTER\n END IF\n start_offset = dbcsr_data_get_size_referenced(matrix%data_area) + 1\n IF (matrix%nze .EQ. 0) start_offset = 1\n!$OMP MASTER\n matrix%index(dbcsr_slot_nze) = matrix%nze\n IF (fake_row_p) THEN\n ALLOCATE (empty_row_p(matrix%nblkrows_total + 1))\n empty_row_p(:) = 0\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_row_p, &\n DATA=empty_row_p, extra=0)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_col_i, &\n reservation=0)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_blk_p, &\n reservation=0)\n CALL dbcsr_repoint_index(matrix)\n END IF\n!$OMP END MASTER\n !\n!$OMP BARRIER\n can_quick = can_quickly_finalize(matrix)\n!$OMP BARRIER\n ! If the matrix, work matrices, and environment fit several\n ! criteria, then a quick O(1) finalization is performed.\n IF (can_quick .AND. .NOT. sort_data) THEN\n CALL quick_finalize(matrix)\n ELSE\n !\n!$OMP MASTER\n !\n ! Create work matrices if not yet existing\n IF (.NOT. ASSOCIATED(matrix%wms)) THEN\n nwms = 1\n!$ nwms = omp_get_num_threads()\n CALL dbcsr_work_create(matrix, n=nwms)\n END IF\n!$OMP END MASTER\n!$OMP BARRIER\n !\n ! Ensure index arrays at least exist.\n!$OMP DO SCHEDULE (STATIC, 1)\n DO i = 1, SIZE(matrix%wms)\n IF (.NOT. ASSOCIATED(matrix%wms(i)%row_i)) THEN\n CALL ensure_array_size(matrix%wms(i)%row_i, ub=0)\n END IF\n IF (.NOT. ASSOCIATED(matrix%wms(i)%col_i)) THEN\n CALL ensure_array_size(matrix%wms(i)%col_i, ub=0)\n END IF\n IF (.NOT. ASSOCIATED(matrix%wms(i)%blk_p)) THEN\n CALL ensure_array_size(matrix%wms(i)%blk_p, ub=0)\n END IF\n END DO\n!$OMP ENDDO\n !\n ! Check for deleted blocks\n!$OMP MASTER\n nblks = matrix%row_p(matrix%nblkrows_total + 1)\n IF (ANY(matrix%blk_p(1:nblks) .EQ. 0)) THEN\n CALL dbcsr_index_prune_deleted(matrix)\n END IF\n old_row_p => matrix%row_p\n old_col_i => matrix%col_i\n old_blk_p => matrix%blk_p\n!$OMP END MASTER\n !\n!$OMP BARRIER\n ! Check to see if we will need to create a parallel environment\n ! (needed when there are multiple work matrices but we are not\n ! in an OpenMP parallel section.)\n !\n ! A parallel section is created and used when the matrix has\n ! more work matrices. It's a shortcut when the finalize is\n ! called from a non-parallel environment whereas the matrix was\n ! built/modified in a parallel environment\n nwms = SIZE(matrix%wms)\n spawn = .FALSE.\n!$ IF (.NOT. omp_in_parallel()) THEN\n!$ IF (nwms .GT. 1) spawn = .TRUE.\n!$ END IF\n IF (spawn) THEN\n!$OMP PARALLEL IF (spawn) &\n!$OMP DEFAULT (NONE) &\n!$OMP SHARED (matrix, old_row_p, old_col_i, old_blk_p,&\n!$OMP start_offset, sort_data)\n CALL dbcsr_merge_all(matrix, &\n old_row_p, old_col_i, old_blk_p, &\n sort_data=sort_data)\n!$OMP END PARALLEL\n ELSE\n CALL dbcsr_merge_all(matrix, &\n old_row_p, old_col_i, old_blk_p, &\n sort_data=sort_data)\n END IF\n END IF\n!$OMP BARRIER\n!$OMP MASTER\n ! Clean up.\n IF (ASSOCIATED(matrix%wms)) THEN\n CALL dbcsr_work_destroy_all(matrix)\n END IF\n matrix%valid = .TRUE.\n!$OMP END MASTER\n!$OMP BARRIER\n IF (dbg) THEN\n!$OMP SINGLE\n CALL dbcsr_verify_matrix(matrix)\n!$OMP END SINGLE\n END IF\n!$OMP MASTER\n IF (fake_row_p) THEN\n DEALLOCATE (empty_row_p)\n END IF\n!$OMP END MASTER\n!$OMP BARRIER\n CALL timestop(handle)\n END SUBROUTINE dbcsr_finalize\n\n SUBROUTINE dbcsr_special_finalize(matrix, reshuffle)\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n LOGICAL, INTENT(IN), OPTIONAL :: reshuffle\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_special_finalize'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle\n LOGICAL :: can_quick, sort_data\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n IF (matrix%nblks .NE. 0) &\n DBCSR_ABORT(\"Optimized finalize requires empty matrix.\")\n IF (dbcsr_valid_index(matrix)) &\n DBCSR_ABORT(\"Optimized finalize requires invalid matrix.\")\n IF (.NOT. ASSOCIATED(matrix%wms)) &\n DBCSR_ABORT(\"Optimized finalize requires work matrices exist.\")\n IF (SIZE(matrix%wms) .NE. 1) &\n DBCSR_ABORT(\"Optimized finalize requires single work matrix\")\n\n !\n ! If possible, data copying is avoided.\n IF (PRESENT(reshuffle)) THEN\n sort_data = reshuffle\n ELSE\n sort_data = .FALSE.\n END IF\n!$OMP BARRIER\n can_quick = can_quickly_finalize(matrix)\n!$OMP BARRIER\n\n ! If the matrix, work matrices, and environment fit several\n ! criteria, then a quick O(1) finalization is performed.\n IF (can_quick .AND. .NOT. sort_data) THEN\n CALL quick_finalize(matrix)\n ELSE\n IF (.NOT. sort_data) &\n DBCSR_ABORT(\"merge_single_wm only supports data sorting\")\n !\n ! Ensure needed index arrays at least exist.\n!$OMP MASTER\n !\n IF (.NOT. ASSOCIATED(matrix%wms(1)%row_i)) THEN\n CALL ensure_array_size(matrix%wms(1)%row_i, ub=0)\n END IF\n IF (.NOT. ASSOCIATED(matrix%wms(1)%col_i)) THEN\n CALL ensure_array_size(matrix%wms(1)%col_i, ub=0)\n END IF\n IF (.NOT. ASSOCIATED(matrix%wms(1)%blk_p)) THEN\n CALL ensure_array_size(matrix%wms(1)%blk_p, ub=0)\n END IF\n !\n!$OMP END MASTER\n!$OMP BARRIER\n !\n!$OMP PARALLEL DEFAULT (NONE), SHARED(matrix)\n CALL dbcsr_merge_single_wm(matrix)\n!$OMP END PARALLEL\n\n END IF\n\n!$OMP MASTER\n ! Clean up.\n IF (ASSOCIATED(matrix%wms)) THEN\n CALL dbcsr_work_destroy_all(matrix)\n END IF\n matrix%valid = .TRUE.\n!$OMP END MASTER\n!$OMP BARRIER\n IF (dbg) THEN\n!$OMP SINGLE\n CALL dbcsr_verify_matrix(matrix)\n!$OMP END SINGLE\n END IF\n!$OMP BARRIER\n CALL timestop(handle)\n END SUBROUTINE dbcsr_special_finalize\n\n FUNCTION can_quickly_finalize(matrix) RESULT(quick)\n !! Checks whether the matrix can be finalized with minimal copying.\n\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix to check\n LOGICAL :: quick\n !! whether matrix can be quickly finalized\n\n! ---------------------------------------------------------------------------\n\n IF (ASSOCIATED(matrix%wms)) THEN\n quick = matrix%nblks .EQ. 0\n quick = quick .AND. SIZE(matrix%wms) .EQ. 1 .AND. &\n .NOT. dbcsr_wm_use_mutable(matrix%wms(1))\n IF (quick) THEN\n quick = quick .AND. &\n dbcsr_memtype_equal( &\n dbcsr_data_get_memory_type(matrix%wms(1)%data_area), &\n dbcsr_data_get_memory_type(matrix%data_area))\n quick = quick .AND. &\n ASSOCIATED(matrix%wms(1)%row_i)\n quick = quick .AND. &\n (matrix%wms(1)%datasize_after_filtering .LT. 0 .OR. &\n matrix%wms(1)%datasize .EQ. matrix%wms(1)%datasize_after_filtering)\n END IF\n ELSE\n quick = .FALSE.\n END IF\n END FUNCTION can_quickly_finalize\n\n SUBROUTINE quick_finalize(matrix)\n !! Performs quick finalization of matrix\n !! The data area from the work matrix is accepted as the new matrix's data\n !! area and the index is built from the work matrix.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix to finalize\n\n CHARACTER(len=*), PARAMETER :: routineN = 'quick_finalize'\n INTEGER :: error_handle, nblks, nrows\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n!$OMP SECTIONS\n!$OMP SECTION\n nblks = matrix%wms(1)%lastblk\n nrows = matrix%nblkrows_total\n CALL dbcsr_sort_indices(nblks, &\n matrix%wms(1)%row_i, &\n matrix%wms(1)%col_i, &\n matrix%wms(1)%blk_p)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_row_p)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_col_i)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_blk_p)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_row_p, &\n reservation=nrows + 1, extra=2*nblks)\n CALL dbcsr_make_dbcsr_index(matrix%row_p, matrix%wms(1)%row_i, &\n nrows, nblks)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_col_i, &\n DATA=matrix%wms(1)%col_i(1:nblks))\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_blk_p, &\n DATA=matrix%wms(1)%blk_p(1:nblks))\n matrix%nblks = nblks\n matrix%nze = matrix%wms(1)%datasize\n matrix%index(dbcsr_slot_nblks) = nblks\n matrix%index(dbcsr_slot_nze) = matrix%wms(1)%datasize\n CALL dbcsr_repoint_index(matrix)\n!$OMP SECTION\n CALL dbcsr_switch_data_area(matrix, matrix%wms(1)%data_area)\n!$OMP END SECTIONS\n CALL timestop(error_handle)\n END SUBROUTINE quick_finalize\n\n SUBROUTINE dbcsr_add_wm_from_matrix(matrix, limits)\n !! Creates a work matrix from the data present in a finalized matrix.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, DIMENSION(4), INTENT(IN), OPTIONAL :: limits\n !! the limits to use for copying\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_add_wm_from_matrix'\n\n INTEGER :: handle, ithread, nthreads, nwms, &\n old_nwms, size_used\n LOGICAL :: preexists\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n!$OMP BARRIER\n preexists = ASSOCIATED(matrix%wms)\n IF (preexists) THEN\n old_nwms = SIZE(matrix%wms)\n IF (old_nwms .EQ. 0) &\n DBCSR_WARN(\"Nonexisting work matrices?!\")\n ELSE\n old_nwms = 0\n END IF\n nthreads = 1; ithread = 0\n!$ nthreads = OMP_GET_NUM_THREADS(); ithread = OMP_GET_THREAD_NUM()\n IF (nthreads .GT. 1) THEN\n IF (old_nwms /= nthreads .AND. old_nwms /= 0) &\n DBCSR_ABORT(\"Number of work matrices and threads do not match\")\n END IF\n nwms = MAX(1, old_nwms)\n!$ nwms = MAX(nwms, nthreads)\n!$OMP BARRIER\n!$OMP MASTER\n IF (.NOT. ASSOCIATED(matrix%wms)) THEN\n CALL dbcsr_work_create(matrix, &\n INT(matrix%nblks*default_resize_factor/nwms), &\n INT(matrix%nze*default_resize_factor/nwms), &\n n=nwms, work_mutable=.FALSE.)\n END IF\n!$OMP END MASTER\n!$OMP BARRIER\n size_used = matrix%nze\n CALL dbcsr_fill_wm_from_matrix(matrix%wms, matrix, size_used, &\n limits=limits)\n!$OMP BARRIER\n CALL timestop(handle)\n END SUBROUTINE dbcsr_add_wm_from_matrix\n\n SUBROUTINE dbcsr_fill_wm_from_matrix(wm, matrix, size_used, limits)\n !! Fills index and data of the work matrix from the\n !! previously-finalized one.\n !!\n !! limits\n !! The limits is a 4-tuple\n !! (lower_row, higher_row, lower_column, higher_column).\n\n TYPE(dbcsr_work_type), DIMENSION(:), INTENT(INOUT) :: wm\n !! the work matrix to fill\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! DBCSR matrix\n INTEGER, INTENT(IN) :: size_used\n INTEGER, DIMENSION(4), INTENT(IN), OPTIONAL :: limits\n !! only fills blocks within this range\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_fill_wm_from_matrix'\n\n INTEGER :: blk, blk_p, col, handle, ithread, &\n nthreads, nwms, nze, row, wblk_p, &\n which_wm, wm_first, wm_last\n LOGICAL :: careful, limit, mt, tr\n LOGICAL, SAVE :: mutable\n TYPE(dbcsr_data_obj) :: data_block\n TYPE(dbcsr_iterator) :: iter\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n nwms = SIZE(matrix%wms)\n mt = .FALSE.\n!$ IF (nwms .GT. 1) mt = omp_get_num_threads() .GT. 1\n ithread = 0; nthreads = 1\n!$ ithread = omp_get_thread_num()\n!$ nthreads = omp_get_num_threads()\n limit = PRESENT(limits)\n careful = size_used + size_used/8 &\n .LT. dbcsr_data_get_size_referenced(matrix%data_area)\n CALL dbcsr_data_init(data_block)\n CALL dbcsr_data_new(data_block, dbcsr_data_get_type(matrix%data_area))\n IF (mt) THEN\n wm_first = ithread + 1\n wm_last = ithread + 1\n ELSE\n wm_first = 1\n wm_last = nwms\n END IF\n ! Prepares the work matrices to accept the main data.\n!$OMP MASTER\n mutable = .FALSE.\n DO which_wm = 1, nwms\n mutable = mutable .OR. dbcsr_wm_use_mutable(wm(which_wm))\n END DO\n!$OMP END MASTER\n!$OMP BARRIER\n DO which_wm = wm_first, wm_last\n IF (dbcsr_wm_use_mutable(wm(which_wm))) &\n DBCSR_ABORT(\"Adding main matrix into mutable not supported.\")\n IF (mutable) THEN\n IF (.NOT. dbcsr_mutable_instantiated(wm(which_wm)%mutable)) THEN\n CALL dbcsr_mutable_new(wm(which_wm)%mutable, matrix%data_type)\n END IF\n ELSE\n ! We don't know how much data we'll get so we have to be generous.\n CALL dbcsr_data_ensure_size(wm(which_wm)%data_area, &\n size_used/nwms)\n CALL dbcsr_data_set_size_referenced(wm(which_wm)%data_area, 0)\n END IF\n END DO\n ! Now copy the data\n CALL dbcsr_iterator_start(iter, matrix, shared=mt, &\n contiguous_pointers=.FALSE., read_only=.TRUE.)\n DO WHILE (dbcsr_iterator_blocks_left(iter))\n CALL dbcsr_iterator_next_block(iter, row, col, data_block, &\n transposed=tr, block_number=blk)\n IF (limit) THEN\n IF (.NOT. within_limits(row, col, limits)) CYCLE\n END IF\n blk_p = matrix%blk_p(blk)\n which_wm = ithread + 1\n wblk_p = SIGN(wm(which_wm)%datasize + 1, blk_p)\n nze = dbcsr_data_get_size(data_block)\n IF (mt .OR. limit .OR. careful .OR. mutable) THEN\n ! The data gets copied block by block so the block pointers\n ! are ordered accordingly.\n IF (.NOT. mutable) THEN\n CALL add_work_coordinate(wm(which_wm), row, col, wblk_p)\n CALL dbcsr_data_ensure_size(wm(which_wm)%data_area, &\n ABS(wblk_p) + nze - 1, factor=default_resize_factor)\n CALL dbcsr_data_set_size_referenced(wm(which_wm)%data_area, &\n ABS(wblk_p) + nze - 1)\n CALL dbcsr_data_set(wm(which_wm)%data_area, &\n lb=ABS(wblk_p), &\n data_size=nze, &\n src=data_block, source_lb=1)\n END IF\n ELSE\n ! The data gets copied all at once so the block pointers\n ! should remain the same as they were.\n CALL add_work_coordinate(wm(which_wm), row, col, blk_p)\n END IF\n IF (.NOT. mutable) &\n wm(which_wm)%datasize = wm(which_wm)%datasize + nze\n END DO\n CALL dbcsr_iterator_stop(iter)\n CALL dbcsr_data_clear_pointer(data_block)\n CALL dbcsr_data_release(data_block)\n ! Copy all blocks at once\n IF (.NOT. mt .AND. .NOT. limit .AND. .NOT. careful .AND. .NOT. mutable) THEN\n DO which_wm = 1, nwms\n CALL dbcsr_data_ensure_size(wm(which_wm)%data_area, &\n dbcsr_data_get_size_referenced(matrix%data_area))\n CALL dbcsr_data_copyall(wm(which_wm)%data_area, matrix%data_area)\n wm(which_wm)%datasize = size_used\n END DO\n END IF\n CALL timestop(handle)\n END SUBROUTINE dbcsr_fill_wm_from_matrix\n\n PURE FUNCTION within_limits(row, column, limits)\n !! Checks whether a point is within bounds\n !! \\return whether the point is within the bounds\n\n INTEGER, INTENT(IN) :: row, column\n !! point to check\n !! point to check\n INTEGER, DIMENSION(4), INTENT(IN) :: limits\n !! limits (low_row, high_row, low_col, high_col)\n LOGICAL :: within_limits\n\n within_limits = row .GE. limits(1) .AND. row .LE. limits(2) .AND. &\n column .GE. limits(3) .AND. column .LE. limits(4)\n END FUNCTION within_limits\n\n SUBROUTINE dbcsr_work_destroy(wm)\n !! Deallocates and destroys a work matrix.\n\n TYPE(dbcsr_work_type), INTENT(INOUT) :: wm\n !! work matrix\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_work_destroy'\n\n INTEGER :: handle\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, handle)\n\n IF (ASSOCIATED(wm%row_i)) THEN\n DEALLOCATE (wm%row_i)\n END IF\n IF (ASSOCIATED(wm%col_i)) THEN\n DEALLOCATE (wm%col_i)\n END IF\n IF (ASSOCIATED(wm%blk_p)) THEN\n DEALLOCATE (wm%blk_p)\n END IF\n CALL dbcsr_data_release(wm%data_area)\n CALL dbcsr_mutable_destroy(wm%mutable)\n\n IF (careful_mod) CALL timestop(handle)\n\n END SUBROUTINE dbcsr_work_destroy\n\n SUBROUTINE dbcsr_work_destroy_all(m)\n !! Deallocates and destroys a work matrix.\n TYPE(dbcsr_type), INTENT(INOUT) :: m\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_work_destroy_all'\n\n INTEGER :: handle, i\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n IF (.NOT. ASSOCIATED(m%wms)) &\n DBCSR_WARN(\"Want to destroy nonexisting work matrices.\")\n IF (ASSOCIATED(m%wms)) THEN\n DO i = 1, SIZE(m%wms)\n CALL dbcsr_work_destroy(m%wms(i))\n END DO\n DEALLOCATE (m%wms)\n END IF\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_work_destroy_all\n\n SUBROUTINE add_work_coordinate(matrix, row, col, blk, index)\n !! Adds a coordinate (or other data) into a work matrix's row_i and\n !! col_i arrays and returns its position.\n !! @note\n !! Uses the matrix%lastblk to keep track of the current position.\n !! @endnote\n\n TYPE(dbcsr_work_type), INTENT(INOUT) :: matrix\n !! work matrix\n INTEGER, INTENT(IN) :: row, col\n !! row data to add\n !! col data to add\n INTEGER, INTENT(IN), OPTIONAL :: blk\n !! block pointer to add\n INTEGER, INTENT(OUT), OPTIONAL :: index\n !! saved position\n\n CHARACTER(len=*), PARAMETER :: routineN = 'add_work_coordinate'\n\n INTEGER :: handle\n\n! ---------------------------------------------------------------------------\n\n IF (careful_mod) CALL timeset(routineN, handle)\n matrix%lastblk = matrix%lastblk + 1\n CALL ensure_array_size(matrix%row_i, ub=matrix%lastblk, &\n factor=default_resize_factor)\n CALL ensure_array_size(matrix%col_i, ub=matrix%lastblk, &\n factor=default_resize_factor)\n matrix%row_i(matrix%lastblk) = row\n matrix%col_i(matrix%lastblk) = col\n IF (PRESENT(blk)) THEN\n CALL ensure_array_size(matrix%blk_p, ub=matrix%lastblk, &\n factor=default_resize_factor)\n matrix%blk_p(matrix%lastblk) = blk\n END IF\n IF (PRESENT(index)) index = matrix%lastblk\n IF (careful_mod) CALL timestop(handle)\n END SUBROUTINE add_work_coordinate\n\n SUBROUTINE dbcsr_merge_all(matrix, old_row_p, old_col_i, old_blk_p, &\n sort_data)\n !! Merge data from matrix and work matrices into the final matrix.\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix to work on\n INTEGER, DIMENSION(*), INTENT(IN) :: old_row_p, old_col_i, old_blk_p\n LOGICAL, INTENT(IN) :: sort_data\n !! whether data will be fully sorted\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_merge_all'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle, my_row_count, nblks, &\n nrows, nwms, row, t, &\n which_wm, wm_datasize\n INTEGER, ALLOCATABLE, DIMENSION(:), SAVE :: all_data_offsets, all_data_sizes, &\n new_blk_p_sorted, new_blk_sizes, &\n new_row_p\n INTEGER, ALLOCATABLE, DIMENSION(:), SAVE, TARGET :: blk_d, new_blk_p, new_col_i\n INTEGER, DIMENSION(:), CONTIGUOUS, POINTER :: my_row_p\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS, SAVE :: cbs, rbs\n INTEGER, SAVE :: max_row_count, new_nblks = 0, new_nze = 0\n TYPE(dbcsr_data_obj), ALLOCATABLE, DIMENSION(:), &\n SAVE :: all_data_areas\n TYPE(dbcsr_work_type), POINTER :: wm\n TYPE(i_array_p), DIMENSION(:), POINTER, SAVE :: all_blk_p, all_col_i, all_row_p\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n ! Outline:\n ! Each thread has a work matrix. These must be merged and made\n ! into a new index. If sort_data is False, then the data areas\n ! are simply appended. This is probably quicker but the data\n ! blocks are not in order and the data size may expand beyond\n ! what is needed. If sort_data is True, then data blocks are\n ! sorted in order.\n\n IF (dbg) WRITE (*, *) routineN//\" starting, sort?\", sort_data\n!$OMP BARRIER\n nrows = matrix%nblkrows_total\n nwms = SIZE(matrix%wms)\n!$ IF (nwms /= OMP_GET_NUM_THREADS()) &\n!$ DBCSR_ABORT(\"Number of threads does not match number of work matrices.\")\n which_wm = 1\n!$ which_wm = OMP_GET_THREAD_NUM() + 1\n wm => matrix%wms(which_wm)\n !\n ! Currently B-tree-based work matrices are converted to array form.\n IF (dbcsr_wm_use_mutable(wm)) THEN\n SELECT CASE (wm%mutable%m%data_type)\n CASE (dbcsr_type_real_4)\n CALL tree_to_linear_s(wm)\n CASE (dbcsr_type_real_8)\n CALL tree_to_linear_d(wm)\n CASE (dbcsr_type_complex_4)\n CALL tree_to_linear_c(wm)\n CASE (dbcsr_type_complex_8)\n CALL tree_to_linear_z(wm)\n CASE default\n DBCSR_ABORT(\"Invalid data type\")\n END SELECT\n END IF\n !\n ! Initializations and some counts from the threads are summed.\n !\n!$OMP MASTER\n new_nblks = old_row_p(nrows + 1)\n new_nze = matrix%nze\n ALLOCATE (all_row_p(nwms))\n ALLOCATE (all_col_i(nwms))\n ALLOCATE (all_blk_p(nwms))\n ALLOCATE (all_data_sizes(0:nwms))\n ALLOCATE (all_data_offsets(nwms))\n IF (sort_data) THEN\n ALLOCATE (all_data_areas(0:nwms))\n CALL dbcsr_data_init(all_data_areas(0))\n all_data_areas(0) = matrix%data_area\n!$OMP CRITICAL (crit_data)\n CALL dbcsr_data_hold(all_data_areas(0))\n!$OMP END CRITICAL (crit_data)\n END IF\n ! The following is valid because the data actually referenced\n ! by blocks is explicitly calculated in dbcsr_finalize.\n all_data_sizes(0) = matrix%nze\n rbs => array_data(matrix%row_blk_size)\n cbs => array_data(matrix%col_blk_size)\n!$OMP END MASTER\n !\n!$OMP BARRIER\n IF (sort_data .AND. wm%datasize_after_filtering .GE. 0) THEN\n wm_datasize = wm%datasize_after_filtering\n ELSE\n wm_datasize = wm%datasize\n END IF\n nblks = wm%lastblk\n!$OMP ATOMIC\n new_nblks = new_nblks + nblks\n!$OMP ATOMIC\n new_nze = new_nze + wm_datasize\n!$OMP BARRIER\n !\n!$OMP MASTER\n ALLOCATE (new_row_p(nrows + 1))\n ALLOCATE (new_col_i(new_nblks))\n ALLOCATE (new_blk_p(new_nblks))\n IF (sort_data) THEN\n ALLOCATE (blk_d(new_nblks))\n ELSE\n ALLOCATE (blk_d(1))\n END IF\n!$OMP END MASTER\n !\n ! Each thread creates a row_p index for its new blocks. This gives the\n ! number of new blocks per thread per row.\n CALL dbcsr_sort_indices(nblks, wm%row_i, wm%col_i, wm%blk_p)\n ALLOCATE (my_row_p(nrows + 1))\n CALL dbcsr_make_dbcsr_index(my_row_p, wm%row_i, nrows, nblks)\n !\n ! The threads must share their row_p, col_i, blk_p, and data areas\n ! among themselves.\n all_row_p(which_wm)%p => my_row_p\n all_data_sizes(which_wm) = wm_datasize\n IF (.NOT. sort_data) THEN\n IF (wm_datasize > dbcsr_data_get_size_referenced(wm%data_area)) &\n DBCSR_ABORT(\"Data size mismatch.\")\n END IF\n all_col_i(which_wm)%p => wm%col_i\n all_blk_p(which_wm)%p => wm%blk_p\n!$OMP BARRIER\n IF (sort_data) THEN\n!$OMP MASTER\n all_data_offsets(:) = 0\n!$OMP END MASTER\n CALL dbcsr_data_init(all_data_areas(which_wm))\n all_data_areas(which_wm) = wm%data_area\n!$OMP CRITICAL (crit_data)\n CALL dbcsr_data_hold(all_data_areas(which_wm))\n!$OMP END CRITICAL (crit_data)\n ELSE\n!$OMP MASTER\n all_data_offsets(1) = all_data_sizes(0)\n DO t = 2, nwms\n all_data_offsets(t) = all_data_offsets(t - 1) + all_data_sizes(t - 1)\n END DO\n!$OMP END MASTER\n END IF\n !\n ! The new row counts are created, then the new row_p index is created.\n !\n!$OMP DO\n DO row = 1, nrows\n my_row_count = old_row_p(row + 1) - old_row_p(row)\n DO t = 1, nwms\n my_row_count = my_row_count &\n & + all_row_p(t)%p(row + 1) - all_row_p(t)%p(row)\n END DO\n new_row_p(row) = my_row_count\n END DO\n!$OMP END DO\n!$OMP MASTER\n max_row_count = MAXVAL(new_row_p(1:nrows))\n CALL dbcsr_build_row_index(new_row_p, nrows)\n!$OMP END MASTER\n!$OMP BARRIER\n !\n ! The new index is built\n CALL merge_index(new_row_p, new_col_i, new_blk_p, &\n blk_d, &\n old_row_p, old_col_i, old_blk_p, &\n all_row_p, all_col_i, all_blk_p, &\n all_data_offsets, nwms, nrows, max_row_count, sort_data)\n !\n ! The data is then merged in one of two ways.\n !\n!$OMP MASTER\n IF (sort_data) THEN\n ! The matrix gets a fresh data area. Blocks from the work\n ! matrices will be copied into it in order.\n !\n!$OMP CRITICAL (crit_data)\n CALL dbcsr_data_release(matrix%data_area)\n CALL dbcsr_data_init(matrix%data_area)\n!$OMP END CRITICAL (crit_data)\n CALL dbcsr_data_new(matrix%data_area, &\n data_size=new_nze, &\n data_type=dbcsr_data_get_type(all_data_areas(0)), &\n memory_type=dbcsr_data_get_memory_type(all_data_areas(0)))\n ALLOCATE (new_blk_p_sorted(new_nblks))\n ALLOCATE (new_blk_sizes(new_nblks))\n ELSE\n ! Data stored in the work matrices will be just appended to the\n ! current data area.\n CALL dbcsr_data_ensure_size(matrix%data_area, new_nze)\n END IF\n!$OMP END MASTER\n!$OMP BARRIER\n IF (sort_data) THEN\n CALL dbcsr_calc_block_sizes(new_blk_sizes, &\n new_row_p, new_col_i, rbs, cbs)\n CALL dbcsr_sort_data(new_blk_p_sorted, new_blk_p, &\n new_blk_sizes, dsts=matrix%data_area, &\n src=all_data_areas(0), &\n srcs=all_data_areas, old_blk_d=blk_d)\n ELSE\n IF (all_data_sizes(which_wm) .GT. 0) THEN\n CALL dbcsr_data_copy(dst=matrix%data_area, &\n dst_lb=(/all_data_offsets(which_wm) + 1/), &\n dst_sizes=(/all_data_sizes(which_wm)/), &\n src=wm%data_area, &\n src_lb=(/1/), &\n src_sizes=(/all_data_sizes(which_wm)/))\n END IF\n END IF\n !\n ! Creates a new index array.\n !\n!$OMP BARRIER\n!$OMP MASTER\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_row_p)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_col_i)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_blk_p)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_row_p, &\n DATA=new_row_p(1:nrows + 1), extra=new_nblks*2)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_col_i, &\n DATA=new_col_i(1:new_nblks))\n IF (sort_data) THEN\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_blk_p, &\n DATA=new_blk_p_sorted)\n ELSE\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_blk_p, &\n DATA=new_blk_p)\n END IF\n matrix%nblks = new_nblks\n matrix%nze = new_nze\n matrix%index(dbcsr_slot_nblks) = matrix%nblks\n matrix%index(dbcsr_slot_nze) = matrix%nze\n CALL dbcsr_repoint_index(matrix)\n!$OMP END MASTER\n !\n!$OMP BARRIER\n !\n DEALLOCATE (my_row_p)\n IF (sort_data) THEN\n!$OMP MASTER\n!$OMP CRITICAL (crit_data)\n CALL dbcsr_data_release(all_data_areas(0))\n!$OMP END CRITICAL (crit_data)\n DO which_wm = 1, nwms\n!$OMP CRITICAL (crit_data)\n CALL dbcsr_data_release(all_data_areas(which_wm))\n!$OMP END CRITICAL (crit_data)\n END DO\n!$OMP END MASTER\n END IF\n!$OMP BARRIER\n!$OMP MASTER\n DEALLOCATE (all_row_p)\n DEALLOCATE (all_col_i)\n DEALLOCATE (all_blk_p)\n DEALLOCATE (new_row_p)\n DEALLOCATE (new_col_i)\n DEALLOCATE (new_blk_p)\n DEALLOCATE (all_data_sizes)\n DEALLOCATE (all_data_offsets)\n IF (sort_data) THEN\n DEALLOCATE (all_data_areas)\n DEALLOCATE (new_blk_sizes)\n DEALLOCATE (new_blk_p_sorted)\n END IF\n DEALLOCATE (blk_d)\n!$OMP END MASTER\n!$OMP BARRIER\n IF (dbg) WRITE (*, *) routineN//\" stopped\"\n CALL timestop(handle)\n END SUBROUTINE dbcsr_merge_all\n\n SUBROUTINE dbcsr_merge_single_wm(matrix)\n !! Sort data from the WM into the final matrix, based closely on dbcsr_merge_all\n\n TYPE(dbcsr_type), INTENT(INOUT) :: matrix\n !! matrix to work on\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_merge_single_wm'\n LOGICAL, PARAMETER :: dbg = .FALSE.\n\n INTEGER :: handle, nblks, nrows\n INTEGER, ALLOCATABLE, DIMENSION(:), SAVE :: new_blk_p_sorted, new_blk_sizes, &\n new_row_p\n INTEGER, ALLOCATABLE, DIMENSION(:), SAVE, TARGET :: blk_d\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS, SAVE :: cbs, rbs\n TYPE(dbcsr_work_type), POINTER :: wm\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n ! Outline:\n ! There is a single work matrix. Data blocks are sorted and copied\n ! into the matrix data area (which is empty). The index is made consistent\n\n nrows = matrix%nblkrows_total\n wm => matrix%wms(1)\n nblks = wm%lastblk\n IF (dbcsr_wm_use_mutable(wm)) &\n DBCSR_ABORT(\"Number of threads does not match number of work matrices.\")\n !\n ! The following is valid because the data actually referenced\n ! by blocks is explicitly calculated in dbcsr_finalize.\n!$OMP MASTER\n rbs => array_data(matrix%row_blk_size)\n cbs => array_data(matrix%col_blk_size)\n !\n ! Initializations\n !\n ALLOCATE (new_row_p(nrows + 1))\n ALLOCATE (blk_d(nblks))\n ALLOCATE (new_blk_p_sorted(nblks))\n ALLOCATE (new_blk_sizes(nblks))\n !\n ! Master thread creates a row_p index for the (sorted) blocks.\n CALL dbcsr_sort_indices(nblks, wm%row_i, wm%col_i, wm%blk_p)\n CALL dbcsr_make_dbcsr_index(new_row_p, wm%row_i, nrows, nblks)\n !\n !\n ! The matrix data area is resized. Blocks from the work\n ! matrices will be copied into it in order.\n !\n CALL dbcsr_data_ensure_size(matrix%data_area, wm%datasize, nocopy=.TRUE.)\n!$OMP END MASTER\n!$OMP BARRIER\n CALL dbcsr_calc_block_sizes(new_blk_sizes, &\n new_row_p, wm%col_i, rbs, cbs)\n CALL dbcsr_sort_data(new_blk_p_sorted, wm%blk_p, &\n new_blk_sizes, dsts=matrix%data_area, &\n src=wm%data_area)\n !\n ! Creates a new index array.\n !\n!$OMP BARRIER\n!$OMP MASTER\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_row_p)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_col_i)\n CALL dbcsr_clearfrom_index_array(matrix, dbcsr_slot_blk_p)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_row_p, &\n DATA=new_row_p(1:nrows + 1), extra=nblks*2)\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_col_i, &\n DATA=wm%col_i(1:nblks))\n CALL dbcsr_addto_index_array(matrix, dbcsr_slot_blk_p, &\n DATA=new_blk_p_sorted)\n matrix%nblks = nblks\n matrix%nze = wm%datasize\n matrix%index(dbcsr_slot_nblks) = matrix%nblks\n matrix%index(dbcsr_slot_nze) = matrix%nze\n CALL dbcsr_repoint_index(matrix)\n DEALLOCATE (new_row_p)\n DEALLOCATE (new_blk_sizes)\n DEALLOCATE (new_blk_p_sorted)\n DEALLOCATE (blk_d)\n!$OMP END MASTER\n IF (dbg) WRITE (*, *) routineN//\" stopped\"\n CALL timestop(handle)\n END SUBROUTINE dbcsr_merge_single_wm\n\n SUBROUTINE merge_index(new_row_p, new_col_i, new_blk_p, &\n !! Builds a new index from several work matrices.\n blk_d, old_row_p, old_col_i, old_blk_p, &\n all_row_p, all_col_i, all_blk_p, &\n all_data_offsets, nwms, nrows, max_row_count, sort_data)\n INTEGER, DIMENSION(*), INTENT(IN) :: new_row_p\n INTEGER, DIMENSION(*), INTENT(OUT), TARGET :: new_col_i, new_blk_p\n INTEGER, DIMENSION(*), INTENT(IN), TARGET :: blk_d\n INTEGER, DIMENSION(*), INTENT(IN) :: old_row_p, old_col_i, old_blk_p\n TYPE(i_array_p), DIMENSION(*), INTENT(IN) :: all_row_p, all_col_i, all_blk_p\n INTEGER, DIMENSION(*), INTENT(IN) :: all_data_offsets\n INTEGER, INTENT(IN) :: nwms, nrows, max_row_count\n LOGICAL, INTENT(IN) :: sort_data\n\n CHARACTER(len=*), PARAMETER :: routineN = 'merge_index'\n INTEGER :: blk1, blk2, error_handle, first_row_blk, &\n last_row_blk, row, src_blk_1, &\n src_blk_2, t\n INTEGER, ALLOCATABLE, DIMENSION(:) :: blk_p_buff, tmp_arr\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: blk_span, col_span, d_span\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handle)\n !\n ALLOCATE (tmp_arr(max_row_count))\n ALLOCATE (blk_p_buff(max_row_count))\n !\n!$OMP DO\n DO row = 1, nrows\n first_row_blk = new_row_p(row) + 1\n last_row_blk = new_row_p(row + 1)\n col_span => new_col_i(first_row_blk:last_row_blk)\n blk_span => new_blk_p(first_row_blk:last_row_blk)\n IF (sort_data) d_span => blk_d(first_row_blk:last_row_blk)\n src_blk_1 = old_row_p(row) + 1\n src_blk_2 = old_row_p(row + 1)\n blk1 = 1\n blk2 = blk1 + (src_blk_2 - src_blk_1 + 1) - 1\n col_span(blk1:blk2) = old_col_i(src_blk_1:src_blk_2)\n blk_span(blk1:blk2) = old_blk_p(src_blk_1:src_blk_2)\n IF (sort_data) THEN\n d_span(blk1:blk2) = 1\n DO t = 1, nwms\n src_blk_1 = all_row_p(t)%p(row) + 1\n src_blk_2 = all_row_p(t)%p(row + 1)\n blk1 = blk2 + 1\n blk2 = blk1 + (src_blk_2 - src_blk_1 + 1) - 1\n col_span(blk1:blk2) = all_col_i(t)%p(src_blk_1:src_blk_2)\n blk_span(blk1:blk2) = all_blk_p(t)%p(src_blk_1:src_blk_2)\n d_span(blk1:blk2) = t + 1\n END DO\n ELSE\n DO t = 1, nwms\n src_blk_1 = all_row_p(t)%p(row) + 1\n src_blk_2 = all_row_p(t)%p(row + 1)\n blk1 = blk2 + 1\n blk2 = blk1 + (src_blk_2 - src_blk_1 + 1) - 1\n col_span(blk1:blk2) = all_col_i(t)%p(src_blk_1:src_blk_2)\n blk_span(blk1:blk2) = all_blk_p(t)%p(src_blk_1:src_blk_2) &\n & + all_data_offsets(t)\n END DO\n END IF\n CALL sort(col_span, SIZE(col_span), tmp_arr)\n blk_p_buff(1:SIZE(blk_span)) = blk_span(:)\n blk_span(1:SIZE(blk_span)) = blk_p_buff(tmp_arr(1:SIZE(blk_span)))\n END DO\n!$OMP END DO\n !\n DEALLOCATE (tmp_arr)\n DEALLOCATE (blk_p_buff)\n !\n CALL timestop(error_handle)\n END SUBROUTINE merge_index\n\n #:include '../data/dbcsr.fypp'\n #:for n, nametype1, base1, prec1, kind1, type1, dkind1 in inst_params_float\n SUBROUTINE tree_to_linear_${nametype1}$ (wm)\n !! Converts mutable data to linear (array) type.\n\n USE dbcsr_btree, &\n ONLY: btree_2d_data_${nametype1}$ => btree_data_${nametype1}$p2d, &\n btree_destroy_${nametype1}$ => btree_delete, &\n btree_size_${nametype1}$ => btree_get_entries\n TYPE(dbcsr_work_type), INTENT(INOUT) :: wm\n !! work matrix to convert\n\n CHARACTER(len=*), PARAMETER :: routineN = 'tree_to_linear_${nametype1}$'\n\n INTEGER :: blk, blk_p, treesize, &\n error_handler, needed_size\n INTEGER(KIND=int_8), ALLOCATABLE, &\n DIMENSION(:) :: keys\n ${type1}$, DIMENSION(:), POINTER, CONTIGUOUS :: target_data\n ${type1}$, DIMENSION(:, :), POINTER :: block_2d\n TYPE(btree_2d_data_${nametype1}$), ALLOCATABLE, &\n DIMENSION(:) :: values\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, error_handler)\n ! srt = .TRUE. ! Not needed because of the copy\n treesize = btree_size_${nametype1}$ (wm%mutable%m%btree_${nametype1}$)\n IF (wm%lastblk .NE. treesize) &\n DBCSR_ABORT(\"Mismatch in number of blocks\")\n ALLOCATE (keys(treesize), values(treesize))\n CALL btree_destroy_${nametype1}$ (wm%mutable%m%btree_${nametype1}$, keys, values)\n CALL ensure_array_size(wm%row_i, ub=treesize)\n CALL ensure_array_size(wm%col_i, ub=treesize)\n CALL dbcsr_unpack_i8_2i4(keys, wm%row_i, &\n wm%col_i)\n ! For now we also fill the data, sloooowly, but this should\n ! be avoided and the data should be copied directly from the\n ! source in the subroutine's main loop.\n CALL ensure_array_size(wm%blk_p, ub=treesize)\n needed_size = 0\n DO blk = 1, treesize\n block_2d => values(blk)%p\n needed_size = needed_size + SIZE(block_2d)\n END DO\n wm%datasize = needed_size\n CALL dbcsr_data_ensure_size(wm%data_area, &\n wm%datasize)\n target_data => dbcsr_get_data_p_${nametype1}$ (wm%data_area)\n blk_p = 1\n DO blk = 1, treesize\n block_2d => values(blk)%p\n IF (.NOT. values(blk)%tr) THEN\n wm%blk_p(blk) = blk_p\n ELSE\n wm%blk_p(blk) = -blk_p\n END IF\n CALL block_copy_${nametype1}$ (target_data, block_2d, &\n SIZE(block_2d), blk_p, 1)\n blk_p = blk_p + SIZE(block_2d)\n DEALLOCATE (block_2d)\n END DO\n DEALLOCATE (keys, values)\n CALL dbcsr_mutable_release(wm%mutable)\n CALL timestop(error_handler)\n END SUBROUTINE tree_to_linear_${nametype1}$\n\n #:endfor\n\nEND MODULE dbcsr_work_operations\n" }, { "path": "tests/.gitignore", "content": "# Files generated at build stage\nlibsmm_acc_unittest_multiply.cpp\nlibsmm_acc_timer_multiply.cpp\n" }, { "path": "tests/CMakeLists.txt", "content": "# =================================== OpenMP\nif (USE_OPENMP)\n set(NUM_THREADS ${TEST_OMP_THREADS})\nelse ()\n set(NUM_THREADS 1)\nendif ()\n\n# =================================== MPI\nif (USE_MPI)\n if (TEST_MPI_RANKS STREQUAL \"auto\")\n include(ProcessorCount)\n ProcessorCount(nproc)\n math(EXPR num_ranks \"(${nproc}+${NUM_THREADS}-1)/${NUM_THREADS}\"\n )# get 1/$NUM_THREADS the number of procs (rounded up)\n else ()\n set(num_ranks ${TEST_MPI_RANKS})\n endif ()\n math(EXPR test_processors \"${num_ranks} * ${NUM_THREADS}\")\n\n message(\n \"Tests will run with ${num_ranks} MPI ranks and ${NUM_THREADS} OpenMP threads each\"\n )\nelse ()\n set(test_processors ${NUM_THREADS})\nendif ()\n\n# =================================== DBCSR PERF TESTS\nset(DBCSR_PERF_SRCS dbcsr_performance_driver.F dbcsr_performance_multiply.F)\nadd_executable(dbcsr_perf ${DBCSR_PERF_SRCS})\ntarget_link_libraries(dbcsr_perf dbcsr)\nset_target_properties(dbcsr_perf PROPERTIES LINKER_LANGUAGE Fortran)\ntarget_link_libraries(dbcsr_perf\n $<$:OpenMP::OpenMP_Fortran>)\n\nfile(\n GLOB DBCSR_PERF_TESTS\n RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}\n \"inputs/*.perf\")\n\nif (\"${MPI_Fortran_LIBRARY_VERSION_STRING}\" MATCHES \"Open MPI v2.1\"\n OR \"${MPI_Fortran_LIBRARY_VERSION_STRING}\" MATCHES \"Open MPI v3.1\")\n list(FILTER DBCSR_PERF_TESTS EXCLUDE REGEX \"_rma\")\nendif ()\n\nforeach (dbcsr_perf_test ${DBCSR_PERF_TESTS})\n if (USE_MPI)\n separate_arguments(MPIEXEC_PREFLAGS)\n add_test(\n NAME dbcsr_perf:${dbcsr_perf_test}\n COMMAND\n ${MPIEXEC_EXECUTABLE} ${MPIEXEC_NUMPROC_FLAG} ${num_ranks}\n ${MPIEXEC_PREFLAGS} $ ${MPIEXEC_POSTFLAGS}\n \"${CMAKE_CURRENT_SOURCE_DIR}/${dbcsr_perf_test}\")\n else ()\n add_test(NAME dbcsr_perf:${dbcsr_perf_test}\n COMMAND $\n \"${CMAKE_CURRENT_SOURCE_DIR}/${dbcsr_perf_test}\")\n endif ()\n set_tests_properties(\n dbcsr_perf:${dbcsr_perf_test}\n PROPERTIES ENVIRONMENT OMP_NUM_THREADS=${NUM_THREADS} PROCESSORS\n ${test_processors})\nendforeach ()\n\n# =================================== DBCSR CORRECTNESS TESTS Define all the\n# tests here, will be used as the executable name\nset(DBCSR_TESTS_FTN\n dbcsr_unittest1\n dbcsr_unittest2\n dbcsr_unittest3\n dbcsr_unittest4\n dbcsr_tensor_unittest\n dbcsr_tas_unittest\n dbcsr_test_csr_conversions)\n\nif (USE_ACCEL)\n set(DBCSR_TESTS_BACKEND dbcsr_acc_test acc_bench)\nendif ()\n\nif (NOT (CMAKE_Fortran_COMPILER_ID STREQUAL \"Cray\"))\n set(DBCSR_TESTS_SRCS_CPP dbcsr_test.cpp dbcsr_tensor_test.cpp)\nendif ()\n\n# For each test, set a variable testname_SRCS defining the sources of that test\nset(dbcsr_unittest1_SRCS dbcsr_unittest1.F)\nset(dbcsr_unittest2_SRCS dbcsr_unittest2.F)\nset(dbcsr_unittest3_SRCS dbcsr_unittest3.F)\nset(dbcsr_unittest4_SRCS dbcsr_unittest4.F dbcsr_test_scale_by_vector.F)\nset(dbcsr_tensor_unittest_SRCS dbcsr_tensor_unittest.F)\nset(dbcsr_tas_unittest_SRCS dbcsr_tas_unittest.F)\nset(dbcsr_test_csr_conversions_SRCS dbcsr_test_csr_conversions.F)\nset(dbcsr_test_cpp_SRCS dbcsr_test.cpp)\nset(dbcsr_tensor_test_cpp_SRCS dbcsr_tensor_test.cpp)\nset(dbcsr_acc_test_SRCS dbcsr_acc_test.c)\nset(acc_bench_SRCS ${CMAKE_SOURCE_DIR}/src/acc/acc_bench.c)\n\n# Make a list of the source files of fortran tests\nset(DBCSR_TESTS_SRCS_FTN)\nforeach (dbcsr_test ${DBCSR_TESTS_FTN})\n set(DBCSR_TESTS_SRCS_FTN ${DBCSR_TESTS_SRCS_FTN} ${${dbcsr_test}_SRCS})\nendforeach ()\n\n# Common object files linked to all tests\nset(dbcsr_unittest_common_SRCS dbcsr_test_add.F dbcsr_test_multiply.F)\n\n# instead of building a full-blown lib, it would be better to simply build an\n# OBJECT lib, but we would need cmake 3.12 to be able to specify\n# target_link_libraries on those to get the proper compile flags\nadd_library(dbcsr_unittest_common STATIC ${dbcsr_unittest_common_SRCS})\n# target_link_libraries(dbcsr_unittest_common PUBLIC dbcsr)\ntarget_link_libraries(dbcsr_unittest_common PUBLIC ${BLAS_LIBRARIES}\n ${LAPACK_LIBRARIES})\nif (OpenMP_FOUND)\n target_link_libraries(dbcsr_unittest_common PUBLIC OpenMP::OpenMP_Fortran)\nendif ()\nif (APPLE AND BLAS_LIBRARIES MATCHES \"Accelerate\")\n target_compile_definitions(dbcsr_unittest_common PRIVATE __ACCELERATE)\nendif ()\ntarget_link_libraries(dbcsr_unittest_common PUBLIC dbcsr) # last\n\n# Compile Fortran tests\nforeach (dbcsr_test ${DBCSR_TESTS_FTN})\n add_executable(${dbcsr_test} ${${dbcsr_test}_SRCS})\n target_link_libraries(${dbcsr_test} dbcsr_unittest_common)\n set_target_properties(${dbcsr_test} PROPERTIES LINKER_LANGUAGE Fortran)\n # register unittest executable with CMake\n if (USE_MPI)\n separate_arguments(MPIEXEC_PREFLAGS)\n add_test(\n NAME ${dbcsr_test}\n COMMAND\n ${MPIEXEC_EXECUTABLE} ${MPIEXEC_NUMPROC_FLAG} ${num_ranks}\n ${MPIEXEC_PREFLAGS} $ ${MPIEXEC_POSTFLAGS})\n else ()\n add_test(NAME ${dbcsr_test} COMMAND ${dbcsr_test})\n endif ()\n if (OpenMP_FOUND)\n target_link_libraries(${dbcsr_test} OpenMP::OpenMP_Fortran)\n endif ()\n set_tests_properties(\n ${dbcsr_test} PROPERTIES ENVIRONMENT OMP_NUM_THREADS=${NUM_THREADS}\n PROCESSORS ${test_processors})\nendforeach ()\n\n# set the __SHORT_FILE__ per file for dbcsr sources\nforeach (tests_src ${DBCSR_PERF_SRCS} ${dbcsr_unittest_common_SRCS}\n ${DBCSR_TESTS_SRCS_FTN})\n # add_fypp_sources returns a path in the current binary dir\n get_filename_component(short_file \"${tests_src}\" NAME)\n set_source_files_properties(\n ${tests_src} PROPERTIES COMPILE_DEFINITIONS __SHORT_FILE__=\"${short_file}\")\nendforeach ()\n\nif (WITH_C_API)\n foreach (dbcsr_test_cpp_src ${DBCSR_TESTS_SRCS_CPP})\n get_filename_component(dbcsr_test_cpp_name ${dbcsr_test_cpp_src} NAME_WE)\n add_executable(${dbcsr_test_cpp_name} ${dbcsr_test_cpp_src})\n target_link_libraries(${dbcsr_test_cpp_name} dbcsr_c MPI::MPI_CXX)\n set_target_properties(${dbcsr_test_cpp_name} PROPERTIES LINKER_LANGUAGE CXX)\n if (OpenMP_FOUND)\n target_link_libraries(${dbcsr_test_cpp_name} OpenMP::OpenMP_CXX)\n endif ()\n # register unittest executable with CMake\n if (USE_MPI)\n separate_arguments(MPIEXEC_PREFLAGS)\n add_test(\n NAME ${dbcsr_test_cpp_name}\n COMMAND\n ${MPIEXEC_EXECUTABLE} ${MPIEXEC_NUMPROC_FLAG} ${num_ranks}\n ${MPIEXEC_PREFLAGS} ./${dbcsr_test_cpp_name} ${MPIEXEC_POSTFLAGS})\n else ()\n add_test(NAME ${dbcsr_test_cpp_name} COMMAND ./${dbcsr_test_cpp_name})\n endif ()\n set_tests_properties(\n ${dbcsr_test_cpp_name}\n PROPERTIES ENVIRONMENT OMP_NUM_THREADS=${NUM_THREADS} PROCESSORS\n ${test_processors})\n endforeach ()\nendif ()\n\n# =================================== BACKEND TESTS (ACC interface)\n\nif (NOT USE_MPI)\n foreach (dbcsr_test_backend ${DBCSR_TESTS_BACKEND})\n add_executable(${dbcsr_test_backend} ${${dbcsr_test_backend}_SRCS})\n # tests may not need to link dbcsr but there is no separate dbcsr_acc\n target_link_libraries(${dbcsr_test_backend} PRIVATE dbcsr)\n # register unittest executable with CMake\n add_test(NAME ${dbcsr_test_backend} COMMAND ./${dbcsr_test_backend})\n set_tests_properties(\n ${dbcsr_test_backend}\n PROPERTIES ENVIRONMENT OMP_NUM_THREADS=${NUM_THREADS} PROCESSORS\n ${NUM_THREADS})\n endforeach ()\nendif ()\n\n# =================================== GPU BACKEND TESTS (CUDA/HIP)\n\n# Add custom commands for the test files that need to be generated from a\n# template\nfile(RELATIVE_PATH CURRENT_BINARY_DIR_RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}/..\n ${CMAKE_CURRENT_BINARY_DIR})\n\n# libsmm_acc_unittest_multiply\nadd_custom_target(\n generate_libsmm_acc_unittest_multiply_test_cpp\n COMMAND\n ${Python_EXECUTABLE}\n ${CMAKE_CURRENT_SOURCE_DIR}/generate_libsmm_acc_unittest_multiply.py\n --base_dir ${CMAKE_CURRENT_SOURCE_DIR}/.. --out_dir\n ${CURRENT_BINARY_DIR_RELATIVE} --gpu_version=${WITH_GPU_PARAMS}\n DEPENDS libsmm_acc_unittest_multiply.cpp.template\n generate_libsmm_acc_unittest_multiply.py\n BYPRODUCTS libsmm_acc_unittest_multiply.cpp\n COMMENT \"Generate tests/libsmm_acc_unittest_multiply.cpp\")\n\n# libsmm_acc_timer_multiply\nadd_custom_target(\n generate_libsmm_acc_timer_multiply_test_cpp\n COMMAND\n ${Python_EXECUTABLE}\n ${CMAKE_CURRENT_SOURCE_DIR}/generate_libsmm_acc_timer_multiply.py --base_dir\n ${CMAKE_CURRENT_SOURCE_DIR}/.. --out_dir ${CURRENT_BINARY_DIR_RELATIVE}\n --gpu_version=${WITH_GPU_PARAMS}\n DEPENDS libsmm_acc_timer_multiply.cpp.template\n generate_libsmm_acc_timer_multiply.py\n BYPRODUCTS libsmm_acc_timer_multiply.cpp\n COMMENT \"Generate tests/generate_libsmm_acc_timer_multiply.cpp\")\n\nif (USE_ACCEL MATCHES \"cuda|hip\")\n\n # All libsmm_acc tests\n set(LIBSMM_ACC_TESTS_SRCS\n ${CMAKE_CURRENT_BINARY_DIR}/libsmm_acc_unittest_multiply.cpp\n ${CMAKE_CURRENT_BINARY_DIR}/libsmm_acc_timer_multiply.cpp\n libsmm_acc_unittest_transpose.cpp)\n\n # Add executables for all libsmm_acc tests\n foreach (libsmm_acc_test ${LIBSMM_ACC_TESTS_SRCS})\n get_filename_component(libsmm_acc_test_name ${libsmm_acc_test} NAME_WE)\n add_executable(${libsmm_acc_test_name} ${libsmm_acc_test})\n target_compile_definitions(\n ${libsmm_acc_test_name} PRIVATE $<$:__HIP>\n $<$:__CUDA>)\n # some of the tests access internal headers and functions, requiring include\n # paths to be present which are otherwise not exported\n target_link_libraries(\n ${libsmm_acc_test_name} dbcsr $<$:hip::host>\n $<$:CUDA::cuda_driver> libsmm_acc)\n set_target_properties(${libsmm_acc_test_name} PROPERTIES LINKER_LANGUAGE\n CXX)\n if (OpenMP_FOUND)\n target_link_libraries(${libsmm_acc_test_name} OpenMP::OpenMP_CXX)\n endif ()\n endforeach ()\n\n # Comment for the moment, they are not parallelized, very slow... Check issue\n # https://github.com/cp2k/dbcsr/issues/427 add_test(NAME\n # libsmm_acc_unittest_multiply COMMAND libsmm_acc_unittest_multiply)\n # add_test(NAME libsmm_acc_unittest_transpose COMMAND\n # libsmm_acc_unittest_transpose) add_test(NAME\n # libsmm_acc_timer_multiply-autotuned COMMAND libsmm_acc_timer_multiply\n # autotuned) add_test(NAME libsmm_acc_timer_multiply-predicted COMMAND\n # libsmm_acc_timer_multiply predicted)\n\nendif ()\n\n# =================================== DOCUMENTATION GENERATION Copy test source\n# files into the build directory so that their documentation can be generated by\n# FORD\nset(DBCSR_TESTS dbcsr_performance_driver.F ${DBCSR_TESTS_SRCS_FTN}\n ${DBCSR_TESTS_SRCS_CPP} libsmm_acc_unittest_transpose.cpp)\n\n# Make a list of the copy commands\nset(test_copy_commands)\nforeach (test ${DBCSR_TESTS})\n list(\n APPEND\n test_copy_commands\n COMMAND\n ${CMAKE_COMMAND}\n -E\n copy\n ${CMAKE_SOURCE_DIR}/tests/${test}\n ${CMAKE_BINARY_DIR}/tests)\nendforeach ()\n\nadd_custom_target(\n doc_copy_tests\n COMMENT \"Copy tests for documentation generation\"\n COMMAND mkdir -p ${CMAKE_BINARY_DIR}/tests ${test_copy_commands}\n VERBATIM)\n\n# libsmm_acc_unittest_multiply.cpp and libsmm_acc_timer_multiply.cpp do not need\n# to be copied to the build directory since they are generated at build-time and\n# written to the build directory directly. We just need to make sure that the\n# documentation generation depends on the generation of these tests.\nadd_dependencies(doc_copy_tests generate_libsmm_acc_unittest_multiply_test_cpp)\nadd_dependencies(doc_copy_tests generate_libsmm_acc_timer_multiply_test_cpp)\n" }, { "path": "tests/README.md", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\n# DBCSR Testing and Performance\n\n## Correctness tests\n\n- [dbcsr_tas_unittest](dbcsr_tas_unittest.F) : unit test for tall-and-skinny matrices\n- [dbcsr_tensor_test](dbcsr_tensor_test.cpp) : test the tensor contraction (13|2)x(54|21)=(3|45) 31 and other functions\n- [dbcsr_tensor_unittest](dbcsr_tensor_unittest.F) : unit test for tensor functionalities\n- [dbcsr_test_csr_conversions](dbcsr_test_csr_conversions.F) : test DBCSR to CSR conversion with random matrices\n- [dbcsr_unittest_1](dbcsr_unittest1.F) : test matrix operations: add, multiply and multiply-ghost\n- [dbcsr_unittest_2](dbcsr_unittest2.F) : test matrix-multiply with large blocks (block size=100) and rectangular matrices (block size=5)\n\n### GPU-backend correctness tests:\n\n- [dbcsr_unittest_3](dbcsr_unittest3.F) : test matrix-multiply with various block sizes that are run by the libsmm_acc GPU backend if DBCSR is compiled with GPU support\n- [libsmm_acc_unittest_multiply](libsmm_acc_unittest_multiply.cpp.template) : tests all libsmm_acc transpose kernels\n- [libsmm_acc_unittest_transpose](libsmm_acc_unittest_transpose.cpp) : tests all libsmm_acc batch-multiplication kernels\n\n## Performance tests\n\nDBCSR performance tests:\n\n- [dbcsr_performance_driver](dbcsr_performance_driver.F) : performance tester for matrix operations. The input matrices can be described in an input file in order to test different configurations. See below.\n\n### GPU backend performance tests:\n\n- [libsmm_acc_timer_multiply](libsmm_acc_timer_multiply.cpp.template) : time all libsmm_acc batch-multiplication kernels\n\n---\n\nSee the [tests' documentation](../docs/guide/2-user-guide/2-tests/index.md).\n" }, { "path": "tests/dbcsr_acc_test.c", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n#include \"acc/acc.h\"\n#include \n#include \n#include \n#if !defined(NDEBUG)\n# include \n#endif\n#if defined(_OPENMP)\n# include \n#endif\n\n#if !defined(ACC_STRING_MAXLEN)\n# define ACC_STRING_MAXLEN 32\n#endif\n#if !defined(ACC_STREAM_MAXCOUNT)\n# define ACC_STREAM_MAXCOUNT 16\n#endif\n#if !defined(ACC_EVENT_MAXCOUNT)\n# define ACC_EVENT_MAXCOUNT (16 * ACC_STREAM_MAXCOUNT)\n#endif\n#if !defined(ACC_STREAM_MAXNTH_DESTROY)\n# define ACC_STREAM_MAXNTH_DESTROY 2\n#endif\n#if !defined(ACC_EVENT_MAXNTH_DESTROY)\n# define ACC_EVENT_MAXNTH_DESTROY 3\n#endif\n\n#if defined(NDEBUG)\n# define ACC_CHECK(RESULT) \\\n do { \\\n const int acc_check_result_ = (RESULT); \\\n if (EXIT_SUCCESS != acc_check_result_) exit(acc_check_result_); \\\n } while (0)\n# define PRINTF(A, ...)\n#else /* debug */\n# define ACC_CHECK(RESULT) assert(EXIT_SUCCESS == (RESULT))\n# define PRINTF(A, ...) printf(A, __VA_ARGS__)\n#endif\n\n\n/**\n * This program tests the ACC interface (include/acc.h) for adhering to expectations.\n * The expected behavior is to match the CUDA based implementation, which was available\n * first. This test program can serve as a specification for other backends such as the\n * OpenMP based backend. It may also be used to stress-test any backend including the\n * CUDA based backend for thread-safety. Thread-safety is an implicit requirement\n * induced by DBCSR (and CP2K). To test any backend (other than the OpenMP backend),\n * the Makefile must be adjusted to link with the desired backend.\n */\nint main(int argc, char* argv[]) {\n const int device = (1 < argc ? atoi(argv[1]) : 0);\n#if defined(_OPENMP)\n const int max_nthreads = omp_get_max_threads();\n#else\n const int max_nthreads = 1;\n#endif\n const int cli_nthreads = (2 < argc ? atoi(argv[2]) : max_nthreads);\n const int nthreads = ((0 < cli_nthreads && cli_nthreads <= max_nthreads) ? cli_nthreads : max_nthreads);\n int randnums[ACC_EVENT_MAXCOUNT], ndevices, priomin, priomax, i, nt;\n void *event[ACC_EVENT_MAXCOUNT], *s = NULL;\n const size_t mem_alloc = (16 /*MB*/ << 20);\n size_t mem_free, mem_total, mem_chunk;\n void *host_mem = NULL, *dev_mem = NULL;\n\n for (i = 0; i < ACC_EVENT_MAXCOUNT; ++i) {\n randnums[i] = rand();\n }\n\n /* allow get_ndevices/set_active_device before init */\n ACC_CHECK(c_dbcsr_acc_get_ndevices(&ndevices));\n if (0 <= device && device < ndevices) { /* not an error */\n ACC_CHECK(c_dbcsr_acc_set_active_device(device));\n }\n ACC_CHECK(c_dbcsr_acc_init());\n ACC_CHECK(c_dbcsr_acc_get_ndevices(&ndevices));\n PRINTF(\"ndevices: %i\\n\", ndevices);\n /* continue tests even with no device */\n if (0 <= device && device < ndevices) { /* not an error */\n ACC_CHECK(c_dbcsr_acc_set_active_device(device));\n }\n\n if (0 < ndevices) {\n ACC_CHECK(c_dbcsr_acc_dev_mem_info(&mem_free, &mem_total));\n ACC_CHECK(mem_free <= mem_total ? EXIT_SUCCESS : EXIT_FAILURE);\n PRINTF(\"device memory: free=%i MB total=%i MB\\n\", (int)(mem_free >> 20), (int)(mem_total >> 20));\n\n ACC_CHECK(c_dbcsr_acc_stream_priority_range(&priomin, &priomax));\n PRINTF(\"stream priority: lowest=%i highest=%i\\n\", priomin, priomax);\n\n for (i = 0; i < ACC_EVENT_MAXCOUNT; ++i) {\n event[i] = NULL;\n }\n\n /* create stream with NULL-name and low priority */\n ACC_CHECK(c_dbcsr_acc_stream_create(&s, NULL /*name*/, priomin));\n ACC_CHECK(c_dbcsr_acc_stream_destroy(s));\n /* create stream with empty name and medium priority */\n ACC_CHECK(c_dbcsr_acc_stream_create(&s, \"\", (priomin + priomax) / 2));\n ACC_CHECK(c_dbcsr_acc_stream_destroy(s));\n /* destroying NULL-stream shall be valid (just like delete/free) */\n ACC_CHECK(c_dbcsr_acc_stream_destroy(NULL));\n ACC_CHECK(c_dbcsr_acc_event_destroy(NULL));\n\n#if defined(_OPENMP)\n# pragma omp parallel for num_threads(nthreads) private(i)\n#endif\n for (i = 0; i < ACC_EVENT_MAXCOUNT; ++i) {\n const int r = randnums[i] % ACC_EVENT_MAXCOUNT;\n ACC_CHECK(c_dbcsr_acc_event_create(event + i));\n if (ACC_EVENT_MAXNTH_DESTROY * r < ACC_EVENT_MAXCOUNT) {\n void* const ei = event[i];\n event[i] = NULL;\n ACC_CHECK(c_dbcsr_acc_event_destroy(ei));\n }\n }\n#if defined(_OPENMP)\n# pragma omp parallel for num_threads(nthreads) private(i)\n#endif\n for (i = 0; i < ACC_EVENT_MAXCOUNT; ++i) {\n if (NULL == event[i]) {\n ACC_CHECK(c_dbcsr_acc_event_create(event + i));\n }\n ACC_CHECK(c_dbcsr_acc_event_destroy(event[i]));\n }\n#if defined(_OPENMP)\n# pragma omp parallel for num_threads(nthreads) private(i)\n#endif\n for (i = 0; i < ACC_EVENT_MAXCOUNT; ++i) ACC_CHECK(c_dbcsr_acc_event_create(event + i));\n\n for (i = 0; i < ACC_EVENT_MAXCOUNT; ++i) {\n c_dbcsr_acc_bool_t has_occurred = 0;\n ACC_CHECK(c_dbcsr_acc_event_query(event[i], &has_occurred));\n ACC_CHECK(has_occurred ? EXIT_SUCCESS : EXIT_FAILURE);\n }\n\n ACC_CHECK(c_dbcsr_acc_stream_create(&s, \"stream\", priomax));\n if (NULL != s) {\n ACC_CHECK(c_dbcsr_acc_host_mem_allocate(&host_mem, mem_alloc, s));\n ACC_CHECK(c_dbcsr_acc_stream_sync(s)); /* wait for completion */\n memset(host_mem, 0xFF, mem_alloc); /* non-zero pattern */\n }\n\n ACC_CHECK(c_dbcsr_acc_dev_mem_allocate(&dev_mem, mem_alloc));\n nt = (nthreads < ACC_EVENT_MAXCOUNT ? nthreads : ACC_EVENT_MAXCOUNT);\n mem_chunk = (mem_alloc + nt - 1) / nt;\n#if defined(_OPENMP)\n# pragma omp parallel num_threads(nt)\n#endif\n {\n#if defined(_OPENMP)\n const int tid = omp_get_thread_num();\n#else\n const int tid = 0;\n#endif\n const size_t offset = tid * mem_chunk, mem_rest = mem_alloc - offset;\n const size_t size = (mem_chunk <= mem_rest ? mem_chunk : mem_rest);\n c_dbcsr_acc_bool_t has_occurred = 0;\n ACC_CHECK(c_dbcsr_acc_memset_zero(dev_mem, offset, size, s));\n /* can enqueue multiple/duplicate copies for the same memory region */\n ACC_CHECK(c_dbcsr_acc_memcpy_d2h(dev_mem, host_mem, mem_alloc, s));\n ACC_CHECK(c_dbcsr_acc_event_query(event[tid], &has_occurred));\n /* unrecorded event has no work to wait for, hence it occurred */\n ACC_CHECK(has_occurred ? EXIT_SUCCESS : EXIT_FAILURE);\n ACC_CHECK(c_dbcsr_acc_event_record(event[tid], s));\n ACC_CHECK(c_dbcsr_acc_stream_wait_event(s, event[tid]));\n ACC_CHECK(c_dbcsr_acc_event_synchronize(event[tid]));\n ACC_CHECK(c_dbcsr_acc_event_query(event[tid], &has_occurred));\n ACC_CHECK(has_occurred ? EXIT_SUCCESS : EXIT_FAILURE);\n }\n /* validate backwards from where the last transfers occurred */\n for (i = (int)(mem_alloc - 1); 0 <= i; --i) {\n ACC_CHECK(0 == ((char*)host_mem)[i] ? EXIT_SUCCESS : EXIT_FAILURE);\n }\n\n#if defined(_OPENMP)\n# pragma omp parallel for num_threads(nthreads) private(i)\n#endif\n for (i = 0; i < ACC_EVENT_MAXCOUNT; ++i) ACC_CHECK(c_dbcsr_acc_event_destroy(event[i]));\n }\n\n ACC_CHECK(c_dbcsr_acc_dev_mem_deallocate(dev_mem));\n if (NULL != s) ACC_CHECK(c_dbcsr_acc_host_mem_deallocate(host_mem, s));\n ACC_CHECK(c_dbcsr_acc_stream_destroy(s));\n c_dbcsr_acc_clear_errors(); /* no result code */\n ACC_CHECK(c_dbcsr_acc_finalize());\n\n return EXIT_SUCCESS;\n}\n" }, { "path": "tests/dbcsr_performance_driver.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_performance_driver\n !! Performance tester for DBCSR operations\n USE dbcsr_config, ONLY: dbcsr_set_config, dbcsr_print_config\n USE dbcsr_files, ONLY: open_file\n USE dbcsr_kinds, ONLY: default_string_length\n USE dbcsr_lib, ONLY: dbcsr_finalize_lib, &\n dbcsr_init_lib, &\n dbcsr_print_statistics\n USE dbcsr_machine, ONLY: default_output_unit, &\n m_getarg, &\n m_iargc\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_new, &\n dbcsr_mp_release\n USE dbcsr_mpiwrap, ONLY: &\n mp_bcast, mp_cart_create, mp_cart_rank, mp_comm_free, mp_environ, &\n mp_world_finalize, mp_world_init, mp_comm_type\n USE dbcsr_performance_multiply, ONLY: dbcsr_perf_multiply\n USE dbcsr_toollib, ONLY: atoi, atol\n USE dbcsr_types, ONLY: dbcsr_mp_obj\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_max_threads, omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n INTEGER :: numnodes, mynode, &\n prow, pcol, io_unit, narg, handle\n INTEGER, DIMENSION(2) :: npdims, myploc\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n TYPE(dbcsr_mp_obj) :: mp_env\n CHARACTER(len=default_string_length) :: args(100)\n TYPE(mp_comm_type) :: mp_comm, group\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_performance_driver'\n\n !***************************************************************************************\n\n ! initialize mpi\n CALL mp_world_init(mp_comm)\n\n ! Number of nodes and rankid\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n ! read and distribute input args\n IF (mynode .EQ. 0) CALL dbcsr_test_read_args(narg, args)\n CALL mp_bcast(narg, 0, mp_comm)\n CALL mp_bcast(args, 0, mp_comm)\n IF (narg .LT. 1) &\n DBCSR_ABORT(\"nargs not correct\")\n\n ! setup the mp environment\n IF (atoi(args(1)) .LE. 0) THEN\n npdims(:) = 0\n ELSE\n npdims(2) = atoi(args(1))\n IF (MOD(numnodes, npdims(2)) .NE. 0) THEN\n CALL dbcsr_abort(__LOCATION__, &\n \"numnodes is not multiple of npcols\")\n END IF\n npdims(1) = numnodes/npdims(2)\n END IF\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, group)\n ALLOCATE (pgrid(0:npdims(1) - 1, 0:npdims(2) - 1))\n DO prow = 0, npdims(1) - 1\n DO pcol = 0, npdims(2) - 1\n CALL mp_cart_rank(group, (/prow, pcol/), pgrid(prow, pcol))\n END DO\n END DO\n CALL dbcsr_mp_new(mp_env, group, pgrid, mynode, numnodes, &\n myprow=myploc(1), mypcol=myploc(2))\n DEALLOCATE (pgrid)\n\n ! set standard output parameters\n io_unit = 0\n IF (mynode .EQ. mp_env%mp%source) io_unit = default_output_unit\n\n ! initialize libdbcsr\n CALL dbcsr_init_lib(mp_comm%get_handle(), io_unit)\n\n ! initialize libdbcsr errors\n CALL timeset(routineN, handle)\n\n ! Check for MPI-RMA algorithm\n CALL dbcsr_set_config(use_mpi_rma=atol(args(2)))\n\n ! print DBCSR configuration\n CALL dbcsr_print_config(io_unit)\n\n ! select the operation\n SELECT CASE (args(3))\n CASE ('dbcsr_multiply')\n CALL dbcsr_perf_multiply(group, mp_env, npdims, io_unit, narg, 3, args)\n CASE DEFAULT\n DBCSR_ABORT(\"operation not found\")\n END SELECT\n\n ! finalize libdbcsr errors\n CALL timestop(handle)\n\n ! clean mp environment\n CALL dbcsr_mp_release(mp_env)\n\n ! free comm\n CALL mp_comm_free(group)\n\n ! print statistics\n CALL dbcsr_print_statistics(.true., \"test.callgraph\")\n\n ! finalize DBCSR\n CALL dbcsr_finalize_lib()\n\n ! finalize mpi\n CALL mp_world_finalize()\n\nCONTAINS\n\n SUBROUTINE dbcsr_test_read_args(narg, args)\n INTEGER, INTENT(out) :: narg\n CHARACTER(len=*), DIMENSION(:), INTENT(out) :: args\n\n CHARACTER(len=1000) :: line\n INTEGER :: istat, unit\n\n ! Read for standard input\n unit = 5\n !\n ! Read from a file\n IF (m_iargc() .GT. 0) THEN\n CALL m_getarg(1, line)\n CALL open_file(TRIM(line), unit_number=unit)\n END IF\n\n narg = 0\n DO\n READ (unit, *, IOSTAT=istat) line\n IF (istat .NE. 0) EXIT\n IF (line(1:1) .EQ. '#') CYCLE\n narg = narg + 1\n args(narg) = line\n END DO\n\n END SUBROUTINE dbcsr_test_read_args\n\nEND PROGRAM dbcsr_performance_driver\n" }, { "path": "tests/dbcsr_performance_multiply.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_performance_multiply\n !! Performance for DBCSR multiply\n USE dbcsr_data_methods, ONLY: dbcsr_scalar, &\n dbcsr_scalar_negative, &\n dbcsr_scalar_one\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_col_dist, &\n dbcsr_distribution_new, &\n dbcsr_distribution_release, &\n dbcsr_distribution_row_dist\n USE dbcsr_dist_operations, ONLY: dbcsr_dist_bin\n USE dbcsr_dist_util, ONLY: dbcsr_checksum\n USE dbcsr_io, ONLY: dbcsr_print\n USE dbcsr_kinds, ONLY: int_8, &\n real_4, &\n real_8\n USE dbcsr_machine, ONLY: m_walltime\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_offsets, dbcsr_col_block_sizes, dbcsr_distribution, dbcsr_get_data_type, &\n dbcsr_get_matrix_type, dbcsr_name, dbcsr_nfullcols_total, dbcsr_nfullrows_total, &\n dbcsr_release, dbcsr_row_block_offsets, dbcsr_row_block_sizes\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_npcols, &\n dbcsr_mp_nprows\n USE dbcsr_mpiwrap, ONLY: mp_environ, &\n mp_sum, &\n mp_sync, mp_comm_type\n USE dbcsr_multiply_api, ONLY: dbcsr_multiply\n USE dbcsr_operations, ONLY: dbcsr_copy, &\n dbcsr_scale\n USE dbcsr_test_methods, ONLY: dbcsr_make_random_block_sizes, &\n dbcsr_make_random_matrix, &\n dbcsr_reset_randmat_seed\n USE dbcsr_toollib, ONLY: atoi, &\n atol, &\n ator\n USE dbcsr_transformations, ONLY: dbcsr_redistribute\n USE dbcsr_types, ONLY: &\n dbcsr_conjugate_transpose, dbcsr_distribution_obj, dbcsr_mp_obj, dbcsr_no_transpose, &\n dbcsr_scalar_type, dbcsr_transpose, dbcsr_type, dbcsr_type_antisymmetric, &\n dbcsr_type_complex_4, dbcsr_type_complex_8, dbcsr_type_no_symmetry, dbcsr_type_real_4, &\n dbcsr_type_real_8\n USE dbcsr_work_operations, ONLY: dbcsr_create, &\n dbcsr_finalize\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_max_threads, omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: dbcsr_perf_multiply\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_performance_multiply'\n\nCONTAINS\n\n SUBROUTINE dbcsr_perf_multiply(group, mp_env, npdims, io_unit, narg, args_shift, args)\n\n TYPE(mp_comm_type) :: group\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(2), INTENT(in) :: npdims\n INTEGER :: io_unit, narg, args_shift\n CHARACTER(len=*), DIMENSION(:), INTENT(IN) :: args\n\n CHARACTER :: symmetries(3), trans(2)\n INTEGER :: i, iblk, kblk_to_read, limits(6), &\n matrix_sizes(3), mblk_to_read, &\n nblk_to_read, nrep, TYPE\n INTEGER, ALLOCATABLE, DIMENSION(:) :: bs_k, bs_m, bs_n\n LOGICAL :: chksum_check, retain_sparsity\n REAL(real_8) :: alpha(2), beta(2), chksum_ref, &\n chksum_ref_pos, chksum_threshold, &\n sparsities(3)\n\n!\n! parsing\n\n IF (narg .LT. args_shift + 31) THEN\n WRITE (io_unit, *) \"Input file format:\"\n WRITE (io_unit, *) \" npcols for MPI grid \\\\\"\n WRITE (io_unit, *) \" use MPI-RMA algorithm \\\\\"\n WRITE (io_unit, *) \" dbcsr_multiply \\\\\"\n WRITE (io_unit, *) \" M N K \\\\\"\n WRITE (io_unit, *) \" SpA SpB SpC \\\\\"\n WRITE (io_unit, *) \" TrA TrB \\\\\"\n WRITE (io_unit, *) \" SymA SymB SymC \\\\\"\n WRITE (io_unit, *) \" data_type \\\\\"\n WRITE (io_unit, *) \" Re(alpha) Im(alpha) Re(beta) Im(beta) \\\\\"\n WRITE (io_unit, *) \" limRowL limRowU limColL limColU limKL limKU \\\\\"\n WRITE (io_unit, *) \" retain_sparsity nrep \\\\\"\n WRITE (io_unit, *) \" nmblksizes nnblksizes nkblksizes \\\\\"\n WRITE (io_unit, *) \" [mblksizes] [nblksizes] [kblksizes] \\\\\"\n WRITE (io_unit, *) \" checksum_check checksum_threshold checksum_ref checksum_ref_pos\"\n DBCSR_ABORT(\"narg not correct\")\n END IF\n\n matrix_sizes(1) = atoi(args(args_shift + 1))\n matrix_sizes(2) = atoi(args(args_shift + 2))\n matrix_sizes(3) = atoi(args(args_shift + 3))\n sparsities(1) = ator(args(args_shift + 4))\n sparsities(2) = ator(args(args_shift + 5))\n sparsities(3) = ator(args(args_shift + 6))\n trans(1) = args(args_shift + 7)\n trans(2) = args(args_shift + 8)\n symmetries(1) = args(args_shift + 9)\n symmetries(2) = args(args_shift + 10)\n symmetries(3) = args(args_shift + 11)\n TYPE = atoi(args(args_shift + 12))\n alpha(1) = ator(args(args_shift + 13))\n alpha(2) = ator(args(args_shift + 14))\n beta(1) = ator(args(args_shift + 15))\n beta(2) = ator(args(args_shift + 16))\n limits(1) = atoi(args(args_shift + 17))\n limits(2) = atoi(args(args_shift + 18))\n limits(3) = atoi(args(args_shift + 19))\n limits(4) = atoi(args(args_shift + 20))\n limits(5) = atoi(args(args_shift + 21))\n limits(6) = atoi(args(args_shift + 22))\n retain_sparsity = atol(args(args_shift + 23))\n nrep = atoi(args(args_shift + 24))\n mblk_to_read = atoi(args(args_shift + 25))\n nblk_to_read = atoi(args(args_shift + 26))\n kblk_to_read = atoi(args(args_shift + 27))\n\n IF (narg < 34 + 2*(mblk_to_read + nblk_to_read + kblk_to_read)) &\n DBCSR_ABORT(\"narg not correct\")\n\n ALLOCATE (bs_m(2*mblk_to_read), bs_n(2*nblk_to_read), bs_k(2*kblk_to_read))\n\n i = args_shift + 27\n DO iblk = 1, mblk_to_read\n i = i + 1\n bs_m(2*(iblk - 1) + 1) = atoi(args(i))\n i = i + 1\n bs_m(2*(iblk - 1) + 2) = atoi(args(i))\n END DO\n DO iblk = 1, nblk_to_read\n i = i + 1\n bs_n(2*(iblk - 1) + 1) = atoi(args(i))\n i = i + 1\n bs_n(2*(iblk - 1) + 2) = atoi(args(i))\n END DO\n DO iblk = 1, kblk_to_read\n i = i + 1\n bs_k(2*(iblk - 1) + 1) = atoi(args(i))\n i = i + 1\n bs_k(2*(iblk - 1) + 2) = atoi(args(i))\n END DO\n\n chksum_check = atol(args(i + 1))\n chksum_threshold = ator(args(i + 2))\n IF (chksum_check .AND. chksum_threshold .LE. 0.0) &\n CALL dbcsr_abort(__LOCATION__, &\n \"Checksum threshold must be positive!\")\n chksum_ref = ator(args(i + 3))\n chksum_ref_pos = ator(args(i + 4))\n\n !\n ! do checks here\n\n !\n ! if the limits are not specified (i.e 0), we set them here\n IF (limits(1) .EQ. 0) limits(1) = 1\n IF (limits(2) .EQ. 0) limits(2) = matrix_sizes(1)\n IF (limits(3) .EQ. 0) limits(3) = 1\n IF (limits(4) .EQ. 0) limits(4) = matrix_sizes(2)\n IF (limits(5) .EQ. 0) limits(5) = 1\n IF (limits(6) .EQ. 0) limits(6) = matrix_sizes(3)\n\n !\n ! lets go !\n CALL dbcsr_perf_multiply_low(group, mp_env, npdims, io_unit, matrix_sizes, &\n bs_m, bs_n, bs_k, sparsities, trans, symmetries, TYPE, &\n alpha, beta, limits, retain_sparsity, nrep, &\n chksum_check, chksum_threshold, chksum_ref, &\n chksum_ref_pos)\n\n DEALLOCATE (bs_m, bs_n, bs_k)\n\n END SUBROUTINE dbcsr_perf_multiply\n\n SUBROUTINE dbcsr_perf_multiply_low(mp_group, mp_env, npdims, io_unit, &\n matrix_sizes, bs_m, bs_n, bs_k, sparsities, trans, symmetries, data_type, &\n alpha_in, beta_in, limits, retain_sparsity, nrep, &\n chksum_check, chksum_threshold, chksum_ref, chksum_ref_pos)\n !! Performs a variety of matrix multiplies of same matrices on different\n !! processor grids\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n !! MPI communicator\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(2), INTENT(in) :: npdims\n INTEGER, INTENT(IN) :: io_unit\n !! which unit to write to, if not negative\n INTEGER, DIMENSION(:), INTENT(in) :: matrix_sizes, bs_m, bs_n, bs_k\n !! size of matrices to test\n !! block sizes of the 3 dimensions\n !! block sizes of the 3 dimensions\n !! block sizes of the 3 dimensions\n REAL(real_8), DIMENSION(3), INTENT(in) :: sparsities\n !! sparsities of matrices to create\n CHARACTER, DIMENSION(2), INTENT(in) :: trans\n !! transposes of the two matrices\n CHARACTER, DIMENSION(3), INTENT(in) :: symmetries\n INTEGER, INTENT(IN) :: data_type\n !! types of matrices to create\n REAL(real_8), DIMENSION(2), INTENT(in) :: alpha_in, beta_in\n !! alpha value to use in multiply\n !! beta value to use in multiply\n INTEGER, DIMENSION(6), INTENT(in) :: limits\n LOGICAL, INTENT(in) :: retain_sparsity\n INTEGER, INTENT(IN) :: nrep\n LOGICAL, INTENT(in) :: chksum_check\n REAL(real_8), INTENT(in) :: chksum_threshold, chksum_ref, &\n chksum_ref_pos\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_perf_multiply_low'\n\n CHARACTER :: a_symm, b_symm, c_symm, transa, transb\n INTEGER :: handle, mynode, numnodes, numthreads\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist_a, col_dist_b, col_dist_c, my_sizes_k, &\n my_sizes_m, my_sizes_n, row_dist_a, row_dist_b, row_dist_c, sizes_k, sizes_m, sizes_n\n LOGICAL :: do_complex\n LOGICAL, DIMENSION(2) :: trs\n TYPE(dbcsr_distribution_obj) :: dist_a, dist_b, dist_c\n TYPE(dbcsr_scalar_type) :: alpha, beta\n TYPE(dbcsr_type) :: matrix_a, matrix_b, matrix_c\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n NULLIFY (my_sizes_k, my_sizes_m, my_sizes_n, &\n sizes_k, sizes_m, sizes_n)\n\n !\n ! print\n CALL mp_environ(numnodes, mynode, mp_group)\n IF (io_unit .GT. 0) THEN\n numthreads = 1\n!$OMP PARALLEL\n!$OMP MASTER\n!$ numthreads = omp_get_num_threads()\n!$OMP END MASTER\n!$OMP END PARALLEL\n WRITE (io_unit, *) 'numthreads', numthreads\n WRITE (io_unit, *) 'numnodes', numnodes\n WRITE (io_unit, *) 'matrix_sizes', matrix_sizes\n WRITE (io_unit, *) 'sparsities', sparsities\n WRITE (io_unit, *) 'trans ', trans\n WRITE (io_unit, *) 'symmetries ', symmetries\n WRITE (io_unit, *) 'type ', data_type\n WRITE (io_unit, *) 'alpha_in', alpha_in\n WRITE (io_unit, *) 'beta_in', beta_in\n WRITE (io_unit, *) 'limits', limits\n WRITE (io_unit, *) 'retain_sparsity', retain_sparsity\n WRITE (io_unit, *) 'nrep', nrep\n WRITE (io_unit, *) 'bs_m', bs_m\n WRITE (io_unit, *) 'bs_n', bs_n\n WRITE (io_unit, *) 'bs_k', bs_k\n END IF\n !\n CALL dbcsr_reset_randmat_seed()\n !\n a_symm = symmetries(1)\n b_symm = symmetries(2)\n c_symm = symmetries(3)\n\n IF (a_symm .NE. dbcsr_type_no_symmetry .AND. matrix_sizes(1) .NE. matrix_sizes(3)) &\n DBCSR_ABORT(\"\")\n\n IF (b_symm .NE. dbcsr_type_no_symmetry .AND. matrix_sizes(2) .NE. matrix_sizes(3)) &\n DBCSR_ABORT(\"\")\n\n IF (c_symm .NE. dbcsr_type_no_symmetry .AND. matrix_sizes(1) .NE. matrix_sizes(2)) &\n DBCSR_ABORT(\"\")\n\n do_complex = data_type .EQ. dbcsr_type_complex_4 .OR. data_type .EQ. dbcsr_type_complex_8\n\n SELECT CASE (data_type)\n CASE (dbcsr_type_real_4)\n alpha = dbcsr_scalar(REAL(alpha_in(1), real_4))\n beta = dbcsr_scalar(REAL(beta_in(1), real_4))\n CASE (dbcsr_type_real_8)\n alpha = dbcsr_scalar(REAL(alpha_in(1), real_8))\n beta = dbcsr_scalar(REAL(beta_in(1), real_8))\n CASE (dbcsr_type_complex_4)\n alpha = dbcsr_scalar(CMPLX(alpha_in(1), alpha_in(2), real_4))\n beta = dbcsr_scalar(CMPLX(beta_in(1), beta_in(2), real_4))\n CASE (dbcsr_type_complex_8)\n alpha = dbcsr_scalar(CMPLX(alpha_in(1), alpha_in(2), real_8))\n beta = dbcsr_scalar(CMPLX(beta_in(1), beta_in(2), real_8))\n END SELECT\n\n transa = trans(1)\n transb = trans(2)\n\n !\n ! if C has a symmetry, we need special transpositions\n IF (c_symm .NE. dbcsr_type_no_symmetry) THEN\n IF (.NOT. (transa .EQ. dbcsr_no_transpose .AND. &\n transb .EQ. dbcsr_transpose .OR. &\n transa .EQ. dbcsr_transpose .AND. &\n transb .EQ. dbcsr_no_transpose .OR. &\n transa .EQ. dbcsr_no_transpose .AND. &\n transb .EQ. dbcsr_conjugate_transpose .AND. &\n .NOT. do_complex .OR. &\n transa .EQ. dbcsr_conjugate_transpose .AND. &\n transb .EQ. dbcsr_no_transpose .AND. &\n .NOT. do_complex)) THEN\n DBCSR_ABORT(\"\")\n END IF\n END IF\n !\n ! if C has symmetry and special limits\n IF (c_symm .NE. dbcsr_type_no_symmetry) THEN\n IF (limits(1) .NE. 1 .OR. limits(2) .NE. matrix_sizes(1) .OR. &\n limits(3) .NE. 1 .OR. limits(4) .NE. matrix_sizes(2)) THEN\n DBCSR_ABORT(\"\")\n END IF\n END IF\n\n !\n ! Create the row/column block sizes.\n CALL dbcsr_make_random_block_sizes(sizes_m, matrix_sizes(1), bs_m)\n CALL dbcsr_make_random_block_sizes(sizes_n, matrix_sizes(2), bs_n)\n CALL dbcsr_make_random_block_sizes(sizes_k, matrix_sizes(3), bs_k)\n\n !\n ! if we have symmetry the row and column block sizes have to match\n IF (c_symm .NE. dbcsr_type_no_symmetry .AND. a_symm .NE. dbcsr_type_no_symmetry .AND. &\n b_symm .NE. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m; my_sizes_n => sizes_m; my_sizes_k => sizes_m\n ELSEIF ((c_symm .EQ. dbcsr_type_no_symmetry .AND. a_symm .NE. dbcsr_type_no_symmetry .AND. &\n b_symm .NE. dbcsr_type_no_symmetry) .OR. &\n (c_symm .NE. dbcsr_type_no_symmetry .AND. a_symm .EQ. dbcsr_type_no_symmetry .AND. &\n b_symm .NE. dbcsr_type_no_symmetry) .OR. &\n (c_symm .NE. dbcsr_type_no_symmetry .AND. a_symm .NE. dbcsr_type_no_symmetry .AND. &\n b_symm .EQ. dbcsr_type_no_symmetry)) THEN\n my_sizes_m => sizes_m; my_sizes_n => sizes_m; my_sizes_k => sizes_m\n ELSEIF (c_symm .EQ. dbcsr_type_no_symmetry .AND. a_symm .EQ. dbcsr_type_no_symmetry .AND. &\n b_symm .NE. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m; my_sizes_n => sizes_n; my_sizes_k => sizes_n\n ELSEIF (c_symm .EQ. dbcsr_type_no_symmetry .AND. a_symm .NE. dbcsr_type_no_symmetry .AND. &\n b_symm .EQ. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m; my_sizes_n => sizes_n; my_sizes_k => sizes_m\n ELSEIF (c_symm .NE. dbcsr_type_no_symmetry .AND. a_symm .EQ. dbcsr_type_no_symmetry .AND. &\n b_symm .EQ. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m; my_sizes_n => sizes_m; my_sizes_k => sizes_k\n ELSEIF (c_symm .EQ. dbcsr_type_no_symmetry .AND. a_symm .EQ. dbcsr_type_no_symmetry .AND. &\n b_symm .EQ. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m; my_sizes_n => sizes_n; my_sizes_k => sizes_k\n ELSE\n DBCSR_ABORT(\"something wrong here...\")\n END IF\n\n ! Create the random matrices.\n trs(1) = transa .NE. dbcsr_no_transpose\n trs(2) = transb .NE. dbcsr_no_transpose\n CALL dbcsr_dist_bin(row_dist_c, SIZE(sizes_m), npdims(1), &\n sizes_m)\n CALL dbcsr_dist_bin(col_dist_c, SIZE(sizes_n), npdims(2), &\n sizes_n)\n CALL dbcsr_distribution_new(dist_c, mp_env, row_dist_c, col_dist_c)\n CALL dbcsr_make_random_matrix(matrix_c, sizes_m, sizes_n, \"Matrix C\", &\n REAL(sparsities(3), real_8), &\n mp_group, data_type=data_type, dist=dist_c)\n CALL dbcsr_distribution_release(dist_c)\n IF (trs(1)) THEN\n CALL dbcsr_dist_bin(row_dist_a, SIZE(sizes_k), npdims(1), &\n sizes_k)\n CALL dbcsr_dist_bin(col_dist_a, SIZE(sizes_m), npdims(2), &\n sizes_m)\n CALL dbcsr_distribution_new(dist_a, mp_env, row_dist_a, col_dist_a)\n CALL dbcsr_make_random_matrix(matrix_a, sizes_k, sizes_m, \"Matrix A\", &\n REAL(sparsities(1), real_8), &\n mp_group, data_type=data_type, dist=dist_a)\n DEALLOCATE (row_dist_a, col_dist_a)\n ELSE\n CALL dbcsr_dist_bin(col_dist_a, SIZE(sizes_k), npdims(2), &\n sizes_k)\n CALL dbcsr_distribution_new(dist_a, mp_env, row_dist_c, col_dist_a)\n CALL dbcsr_make_random_matrix(matrix_a, sizes_m, sizes_k, \"Matrix A\", &\n REAL(sparsities(1), real_8), &\n mp_group, data_type=data_type, dist=dist_a)\n DEALLOCATE (col_dist_a)\n END IF\n CALL dbcsr_distribution_release(dist_a)\n IF (trs(2)) THEN\n CALL dbcsr_dist_bin(row_dist_b, SIZE(sizes_n), npdims(1), &\n sizes_n)\n CALL dbcsr_dist_bin(col_dist_b, SIZE(sizes_k), npdims(2), &\n sizes_k)\n CALL dbcsr_distribution_new(dist_b, mp_env, row_dist_b, col_dist_b)\n CALL dbcsr_make_random_matrix(matrix_b, sizes_n, sizes_k, \"Matrix B\", &\n REAL(sparsities(2), real_8), &\n mp_group, data_type=data_type, dist=dist_b)\n DEALLOCATE (row_dist_b, col_dist_b)\n ELSE\n CALL dbcsr_dist_bin(row_dist_b, SIZE(sizes_k), npdims(1), &\n sizes_k)\n CALL dbcsr_distribution_new(dist_b, mp_env, row_dist_b, col_dist_c)\n CALL dbcsr_make_random_matrix(matrix_b, sizes_k, sizes_n, \"Matrix B\", &\n REAL(sparsities(2), real_8), &\n mp_group, data_type=data_type, dist=dist_b)\n DEALLOCATE (row_dist_b)\n END IF\n CALL dbcsr_distribution_release(dist_b)\n DEALLOCATE (row_dist_c, col_dist_c, sizes_m, sizes_n, sizes_k)\n\n !\n ! if C has a symmetry, we build it accordingly, i.e. C=A*A and C=A*(-A)\n IF (c_symm .NE. dbcsr_type_no_symmetry) THEN\n CALL dbcsr_copy(matrix_b, matrix_a)\n !print*, a_symm,b_symm,dbcsr_get_matrix_type(matrix_a),dbcsr_get_matrix_type(matrix_b)\n IF (c_symm .EQ. dbcsr_type_antisymmetric) THEN\n CALL dbcsr_scale(matrix_b, &\n alpha_scalar=dbcsr_scalar_negative( &\n dbcsr_scalar_one(data_type)))\n END IF\n END IF\n\n !\n ! Prepare test parameters\n CALL perf_multiply(mp_group, mp_env, io_unit, &\n matrix_a, matrix_b, matrix_c, &\n transa, transb, &\n alpha, beta, &\n limits, retain_sparsity, &\n nrep, &\n chksum_check, chksum_threshold, chksum_ref, &\n chksum_ref_pos)\n\n !\n ! cleanup\n CALL dbcsr_release(matrix_a)\n CALL dbcsr_release(matrix_b)\n CALL dbcsr_release(matrix_c)\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_perf_multiply_low\n\n SUBROUTINE perf_multiply(mp_group, mp_env, io_unit, &\n matrix_a, matrix_b, matrix_c, &\n transa, transb, alpha, beta, limits, retain_sparsity, &\n nrep, chksum_check, chksum_threshold, chksum_ref, chksum_ref_pos)\n !! Performs a variety of matrix multiplies of same matrices on different\n !! processor grids\n\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n !! MPI communicator\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, INTENT(IN) :: io_unit\n !! which unit to write to, if not negative\n TYPE(dbcsr_type), INTENT(in) :: matrix_a, matrix_b, matrix_c\n !! matrices to multiply\n !! matrices to multiply\n !! matrices to multiply\n CHARACTER, INTENT(in) :: transa, transb\n TYPE(dbcsr_scalar_type), INTENT(in) :: alpha, beta\n INTEGER, DIMENSION(6), INTENT(in) :: limits\n LOGICAL, INTENT(in) :: retain_sparsity\n INTEGER, INTENT(IN) :: nrep\n LOGICAL, INTENT(in) :: chksum_check\n REAL(real_8), INTENT(in) :: chksum_threshold, chksum_ref, &\n chksum_ref_pos\n\n CHARACTER(len=*), PARAMETER :: routineN = 'perf_multiply'\n INTEGER :: c_a, c_b, c_c, handle, irep, mynode, &\n nthreads, numnodes, r_a, r_b, r_c\n INTEGER(int_8) :: flop\n INTEGER(int_8), ALLOCATABLE, DIMENSION(:) :: flop_sum\n INTEGER(int_8), ALLOCATABLE, DIMENSION(:, :) :: flops\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: blk_offsets, col_dist_a, col_dist_b, &\n col_dist_c, row_dist_a, row_dist_b, &\n row_dist_c\n LOGICAL :: chksum_err\n REAL(real_8) :: chksum_a, chksum_b, chksum_c_in, &\n chksum_c_out, chksum_c_out_pos, &\n rel_diff, std_all, std_t, t1, t2\n REAL(real_8), ALLOCATABLE, DIMENSION(:) :: flops_all, flops_node, flops_thread, &\n load_imb, t, t_max, t_min\n REAL(real_8), ALLOCATABLE, DIMENSION(:, :) :: times\n TYPE(dbcsr_distribution_obj) :: dist_a, dist_b, dist_c\n TYPE(dbcsr_type) :: m_a, m_b, m_c, m_c_orig\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n CALL mp_environ(numnodes, mynode, mp_group)\n\n nthreads = 1\n!$ nthreads = OMP_GET_MAX_THREADS()\n\n ALLOCATE (times(0:numnodes - 1, nrep), flops(0:numnodes - 1, nrep), t_max(nrep), &\n flops_node(nrep), flops_thread(nrep), flops_all(nrep), flop_sum(nrep), &\n t_min(nrep), t(nrep), load_imb(nrep))\n times(:, :) = 0.0_real_8\n t_max(:) = 0.0_real_8\n t_min(:) = 0.0_real_8\n t(:) = 0.0_real_8\n flops_node(:) = 0.0_real_8\n flops_thread(:) = 0.0_real_8\n flops_all(:) = 0.0_real_8\n flops(:, :) = 0\n flop_sum(:) = 0\n load_imb(:) = 0.0_real_8\n\n ! Row & column distributions\n row_dist_c => dbcsr_distribution_row_dist(dbcsr_distribution(matrix_c))\n col_dist_c => dbcsr_distribution_col_dist(dbcsr_distribution(matrix_c))\n row_dist_a => dbcsr_distribution_row_dist(dbcsr_distribution(matrix_a))\n col_dist_a => dbcsr_distribution_col_dist(dbcsr_distribution(matrix_a))\n row_dist_b => dbcsr_distribution_row_dist(dbcsr_distribution(matrix_b))\n col_dist_b => dbcsr_distribution_col_dist(dbcsr_distribution(matrix_b))\n\n CALL dbcsr_distribution_new(dist_a, mp_env, row_dist_a, col_dist_a)\n CALL dbcsr_distribution_new(dist_b, mp_env, row_dist_b, col_dist_b)\n CALL dbcsr_distribution_new(dist_c, mp_env, row_dist_c, col_dist_c)\n ! Redistribute the matrices\n ! A\n CALL dbcsr_create(m_a, \"Test for \"//TRIM(dbcsr_name(matrix_a)), &\n dist_a, dbcsr_get_matrix_type(matrix_a), &\n row_blk_size_obj=matrix_a%row_blk_size, &\n col_blk_size_obj=matrix_a%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_a))\n CALL dbcsr_distribution_release(dist_a)\n CALL dbcsr_redistribute(matrix_a, m_a)\n ! B\n CALL dbcsr_create(m_b, \"Test for \"//TRIM(dbcsr_name(matrix_b)), &\n dist_b, dbcsr_get_matrix_type(matrix_b), &\n row_blk_size_obj=matrix_b%row_blk_size, &\n col_blk_size_obj=matrix_b%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_b))\n CALL dbcsr_distribution_release(dist_b)\n CALL dbcsr_redistribute(matrix_b, m_b)\n ! C orig\n CALL dbcsr_create(m_c_orig, \"Test for \"//TRIM(dbcsr_name(matrix_c)), &\n dist_c, dbcsr_get_matrix_type(matrix_c), &\n row_blk_size_obj=matrix_c%row_blk_size, &\n col_blk_size_obj=matrix_c%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_c))\n CALL dbcsr_distribution_release(dist_c)\n CALL dbcsr_redistribute(matrix_c, m_c_orig)\n ! C\n CALL dbcsr_create(m_c, \"Test for \"//TRIM(dbcsr_name(matrix_c)), &\n dist_c, dbcsr_get_matrix_type(matrix_c), &\n row_blk_size_obj=matrix_c%row_blk_size, &\n col_blk_size_obj=matrix_c%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_c))\n CALL dbcsr_finalize(m_c)\n\n IF (.FALSE.) THEN\n blk_offsets => dbcsr_row_block_offsets(matrix_c)\n WRITE (io_unit, *) 'row_block_offsets(matrix_c)', blk_offsets\n blk_offsets => dbcsr_col_block_offsets(matrix_c)\n WRITE (io_unit, *) 'col_block_offsets(matrix_c)', blk_offsets\n END IF\n\n IF (.FALSE.) THEN\n CALL dbcsr_print(m_c, matlab_format=.FALSE., variable_name='c_in_')\n CALL dbcsr_print(m_a, matlab_format=.FALSE., variable_name='a_')\n CALL dbcsr_print(m_b, matlab_format=.FALSE., variable_name='b_')\n CALL dbcsr_print(m_c, matlab_format=.FALSE., variable_name='c_out_')\n END IF\n\n r_a = dbcsr_nfullrows_total(m_a)\n c_a = dbcsr_nfullcols_total(m_a)\n r_b = dbcsr_nfullrows_total(m_b)\n c_b = dbcsr_nfullcols_total(m_b)\n r_c = dbcsr_nfullrows_total(m_c_orig)\n c_c = dbcsr_nfullcols_total(m_c_orig)\n\n chksum_a = dbcsr_checksum(m_a)\n chksum_b = dbcsr_checksum(m_b)\n chksum_c_in = dbcsr_checksum(m_c_orig)\n\n !\n !\n DO irep = 1, nrep\n\n !\n ! set the C matrix\n CALL dbcsr_copy(m_c, m_c_orig)\n\n !\n ! Perform multiply\n CALL mp_sync(mp_group)\n t1 = m_walltime()\n flop = 0\n CALL dbcsr_multiply(transa, transb, alpha, &\n m_a, m_b, beta, m_c, &\n first_row=limits(1), &\n last_row=limits(2), &\n first_column=limits(3), &\n last_column=limits(4), &\n first_k=limits(5), &\n last_k=limits(6), &\n retain_sparsity=retain_sparsity, &\n flop=flop)\n t2 = m_walltime()\n times(mynode, irep) = t2 - t1\n flops(mynode, irep) = flop\n END DO\n\n chksum_c_out = dbcsr_checksum(m_c)\n chksum_c_out_pos = dbcsr_checksum(m_c, pos=.TRUE.)\n\n CALL mp_sum(times, 0, mp_group)\n CALL mp_sum(flops, 0, mp_group)\n\n !\n !\n t_max(:) = MAXVAL(times, DIM=1)\n t_min(:) = MINVAL(times, DIM=1)\n t(:) = SUM(times, DIM=1)/REAL(numnodes, real_8)\n flop_sum(:) = SUM(flops, DIM=1)\n t_max(:) = MAX(t_max(:), 0.001_real_8)\n flops_all(:) = REAL(flop_sum(:), KIND=real_8)/t_max(:) !* 1.0e-9_real_8\n flops_node(:) = flops_all(:)/REAL(numnodes, real_8)\n flops_thread(:) = flops_node(:)/REAL(nthreads, real_8)\n load_imb(:) = t_max(:) - t(:)/REAL(numnodes, real_8)\n\n std_t = 1.0_real_8\n std_all = 1.0_real_8\n\n IF (io_unit .GT. 0) THEN\n WRITE (io_unit, *) REPEAT(\"*\", 80)\n WRITE (io_unit, *) \" -- PERF dbcsr_multiply (\", transa, \", \", transb, &\n \", \", dbcsr_get_data_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_b), &\n \", \", dbcsr_get_matrix_type(m_c), &\n \")\"\n WRITE (io_unit, '(T4,3(A,I9,A,I9),A)') &\n \"matrix sizes A(\", r_a, \" x\", c_a, \"), B(\", r_b, \" x\", c_b, \") and C(\", r_c, \" x\", c_c, \")\"\n WRITE (io_unit, '(T4,A,I5,A,I3,A,I3,A)') 'numnodes (nprows X npcols) = ', numnodes, &\n \"(\", dbcsr_mp_nprows(mp_env), \" X \", &\n dbcsr_mp_npcols(mp_env), \")\"\n WRITE (io_unit, '(T4,A,I5)') 'nthreads = ', nthreads\n WRITE (io_unit, '(T4,A,E26.15)') 'checksum(A) = ', chksum_a\n WRITE (io_unit, '(T4,A,E26.15)') 'checksum(B) = ', chksum_b\n WRITE (io_unit, '(T4,A,E26.15)') 'checksum(C_in) = ', chksum_c_in\n WRITE (io_unit, '(T4,A,E26.15)') 'checksum(C_out) = ', chksum_c_out\n WRITE (io_unit, '(T4,A,E26.15)') 'checksum(C_out) POS = ', chksum_c_out_pos\n IF (chksum_check) THEN\n chksum_err = .FALSE.\n rel_diff = ABS(chksum_c_out/MAX(chksum_ref, chksum_threshold) - 1.)\n IF (rel_diff .GT. chksum_threshold) THEN\n WRITE (io_unit, '(T4,A,E26.15,A,E26.15,A,E26.15)') \"Wrong checksum(C_out), ref = \", &\n chksum_ref, &\n \" rel_diff = \", rel_diff, &\n \" threshold = \", chksum_threshold\n chksum_err = .TRUE.\n END IF\n rel_diff = ABS(chksum_c_out_pos/MAX(chksum_ref_pos, chksum_threshold) - 1.)\n IF (rel_diff .GT. chksum_threshold) THEN\n WRITE (io_unit, '(T4,A,E26.15,A,E26.15,A,E26.15)') \"Wrong checksum(C_out) POS, ref = \", &\n chksum_ref_pos, &\n \" rel_diff = \", rel_diff, &\n \" threshold = \", chksum_threshold\n chksum_err = .TRUE.\n END IF\n IF (chksum_err) &\n CALL dbcsr_abort(__LOCATION__, &\n \"Wrong Checksums. Test failed!\")\n END IF\n WRITE (io_unit, *)\n WRITE (io_unit, *)\n WRITE (io_unit, '(T4,A)') \" mean std minmin maxmax\"\n WRITE (io_unit, '(T4,A,4EN12.2,A)') \"time = \", mean(t), std(t), &\n MINVAL(times), MAXVAL(times), ' seconds'\n WRITE (io_unit, '(T4,A,4EN12.2,A)') \"perf total = \", mean(flops_all), std(flops_all), &\n MINVAL(flops_all), MAXVAL(flops_all), ' FLOPS'\n WRITE (io_unit, '(T4,A,4EN12.2,A)') \"perf per node = \", mean(flops_node), std(flops_node), &\n MINVAL(flops_node), MAXVAL(flops_node), ' FLOPS'\n WRITE (io_unit, '(T4,A,4EN12.2,A)') \"perf per thread = \", mean(flops_thread), std(flops_thread), &\n MINVAL(flops_thread), MAXVAL(flops_thread), ' FLOPS'\n WRITE (io_unit, '(T4,A,4E12.2,A)') \"load imbalance = \", mean(load_imb), std(load_imb), &\n MINVAL(load_imb), MAXVAL(load_imb), ''\n WRITE (io_unit, '(T4,A,4E12.2,A)') \"rel load imbal = \", mean(load_imb/t_max), std(load_imb/t_max), &\n MINVAL(load_imb/t_max), MAXVAL(load_imb/t_max), ''\n\n WRITE (io_unit, *) REPEAT(\"*\", 80)\n END IF\n\n CALL dbcsr_release(m_a)\n CALL dbcsr_release(m_b)\n CALL dbcsr_release(m_c)\n CALL dbcsr_release(m_c_orig)\n\n DEALLOCATE (times, flops, t_max, flops_node, flops_thread, flops_all, &\n flop_sum, t_min, t, load_imb)\n\n CALL timestop(handle)\n\n END SUBROUTINE perf_multiply\n\n FUNCTION mean(v)\n REAL(real_8), DIMENSION(:) :: v\n REAL(real_8) :: mean\n\n INTEGER :: i, n\n\n mean = 0.0_real_8\n n = SIZE(v, 1)\n DO i = 1, n\n mean = mean + v(i)\n END DO\n mean = mean/REAL(n, real_8)\n END FUNCTION mean\n FUNCTION std(v)\n REAL(real_8), DIMENSION(:) :: v\n REAL(real_8) :: std\n\n INTEGER :: i, n\n REAL(real_8) :: mn\n\n mn = mean(v)\n std = 0.0_real_8\n n = SIZE(v, 1)\n DO i = 1, n\n std = std + (v(i) - mn)**2\n END DO\n std = SQRT(std)/REAL(n, real_8)\n END FUNCTION std\n\nEND MODULE dbcsr_performance_multiply\n" }, { "path": "tests/dbcsr_tas_unittest.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_tas_unittest\n\n !! Unit testing for tall-and-skinny matrices\n USE dbcsr_api, ONLY: dbcsr_finalize_lib, &\n dbcsr_init_lib, &\n dbcsr_print_statistics\n USE dbcsr_tas_base, ONLY: dbcsr_tas_destroy, &\n dbcsr_tas_info, &\n dbcsr_tas_nblkcols_total, &\n dbcsr_tas_nblkrows_total, &\n dbcsr_tas_create\n USE dbcsr_tas_types, ONLY: dbcsr_tas_type\n USE dbcsr_tas_test, ONLY: dbcsr_tas_random_bsizes, &\n dbcsr_tas_setup_test_matrix, &\n dbcsr_tas_test_mm, &\n dbcsr_tas_reset_randmat_seed\n USE dbcsr_kinds, ONLY: int_8, &\n real_8\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mpiwrap, ONLY: mp_comm_free, &\n mp_environ, &\n mp_world_finalize, &\n mp_world_init, mp_comm_type\n USE dbcsr_tas_io, ONLY: dbcsr_tas_write_split_info\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n INTEGER(KIND=int_8), PARAMETER :: m = 100, k = 20, n = 10\n TYPE(dbcsr_tas_type) :: A, B, C, At, Bt, Ct, A_out, B_out, C_out, At_out, Bt_out, Ct_out\n INTEGER, DIMENSION(m) :: bsize_m\n INTEGER, DIMENSION(n) :: bsize_n\n INTEGER, DIMENSION(k) :: bsize_k\n REAL(KIND=real_8), PARAMETER :: sparsity = 0.1\n INTEGER :: numnodes, mynode, io_unit\n TYPE(mp_comm_type) :: mp_comm, mp_comm_A, mp_comm_At, mp_comm_B, mp_comm_Bt, mp_comm_C, mp_comm_Ct\n REAL(KIND=real_8), PARAMETER :: filter_eps = 1.0E-08\n\n CALL mp_world_init(mp_comm)\n\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n io_unit = -1\n IF (mynode .EQ. 0) io_unit = default_output_unit\n\n CALL dbcsr_init_lib(mp_comm%get_handle(), io_unit)\n\n CALL dbcsr_tas_reset_randmat_seed()\n\n CALL dbcsr_tas_random_bsizes([13, 8, 5, 25, 12], 2, bsize_m)\n CALL dbcsr_tas_random_bsizes([3, 78, 33, 12, 3, 15], 1, bsize_n)\n CALL dbcsr_tas_random_bsizes([9, 64, 23, 2], 3, bsize_k)\n\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n CALL dbcsr_tas_setup_test_matrix(A, mp_comm_A, mp_comm, m, k, bsize_m, bsize_k, [5, 1], \"A\", sparsity)\n CALL dbcsr_tas_setup_test_matrix(At, mp_comm_At, mp_comm, k, m, bsize_k, bsize_m, [3, 8], \"A^t\", sparsity)\n CALL dbcsr_tas_setup_test_matrix(B, mp_comm_B, mp_comm, n, m, bsize_n, bsize_m, [3, 2], \"B\", sparsity)\n CALL dbcsr_tas_setup_test_matrix(Bt, mp_comm_Bt, mp_comm, m, n, bsize_m, bsize_n, [1, 3], \"B^t\", sparsity)\n CALL dbcsr_tas_setup_test_matrix(C, mp_comm_C, mp_comm, k, n, bsize_k, bsize_n, [5, 7], \"C\", sparsity)\n CALL dbcsr_tas_setup_test_matrix(Ct, mp_comm_Ct, mp_comm, n, k, bsize_n, bsize_k, [1, 1], \"C^t\", sparsity)\n\n CALL dbcsr_tas_create(A, A_out)\n CALL dbcsr_tas_create(At, At_out)\n CALL dbcsr_tas_create(B, B_out)\n CALL dbcsr_tas_create(Bt, Bt_out)\n CALL dbcsr_tas_create(C, C_out)\n CALL dbcsr_tas_create(Ct, Ct_out)\n\n IF (mynode == 0) WRITE (io_unit, '(A)') \"DBCSR TALL-AND-SKINNY MATRICES\"\n IF (mynode == 0) WRITE (io_unit, '(1X, A, 1X, A, I10, 1X, A, 1X, I10)') \"Split info for matrix\", &\n TRIM(A%matrix%name), dbcsr_tas_nblkrows_total(A), 'X', dbcsr_tas_nblkcols_total(A)\n CALL dbcsr_tas_write_split_info(dbcsr_tas_info(A), io_unit, name=\"A\")\n IF (mynode == 0) WRITE (io_unit, '(1X, A, 1X, A, I10, 1X, A, 1X, I10)') \"Split info for matrix\", &\n TRIM(At%matrix%name), dbcsr_tas_nblkrows_total(At), 'X', dbcsr_tas_nblkcols_total(At)\n CALL dbcsr_tas_write_split_info(dbcsr_tas_info(At), io_unit, name=\"At\")\n IF (mynode == 0) WRITE (io_unit, '(1X, A, 1X, A, I10, 1X, A, 1X, I10)') \"Split info for matrix\", &\n TRIM(B%matrix%name), dbcsr_tas_nblkrows_total(B), 'X', dbcsr_tas_nblkcols_total(B)\n CALL dbcsr_tas_write_split_info(dbcsr_tas_info(B), io_unit, name=\"B\")\n IF (mynode == 0) WRITE (io_unit, '(1X, A, 1X, A, I10, 1X, A, 1X, I10)') \"Split info for matrix\", &\n TRIM(Bt%matrix%name), dbcsr_tas_nblkrows_total(Bt), 'X', dbcsr_tas_nblkcols_total(Bt)\n CALL dbcsr_tas_write_split_info(dbcsr_tas_info(Bt), io_unit, name=\"Bt\")\n IF (mynode == 0) WRITE (io_unit, '(1X, A, 1X, A, I10, 1X, A, 1X, I10)') \"Split info for matrix\", &\n TRIM(C%matrix%name), dbcsr_tas_nblkrows_total(C), 'X', dbcsr_tas_nblkcols_total(C)\n CALL dbcsr_tas_write_split_info(dbcsr_tas_info(C), io_unit, name=\"C\")\n IF (mynode == 0) WRITE (io_unit, '(1X, A, 1X, A, I10, 1X, A, 1X, I10)') \"Split info for matrix\", &\n TRIM(Ct%matrix%name), dbcsr_tas_nblkrows_total(Ct), 'X', dbcsr_tas_nblkcols_total(Ct)\n CALL dbcsr_tas_write_split_info(dbcsr_tas_info(Ct), io_unit, name=\"Ct\")\n\n CALL dbcsr_tas_test_mm('N', 'N', 'N', B, A, Ct_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'N', 'N', Bt, A, Ct_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('N', 'T', 'N', B, At, Ct_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'T', 'N', Bt, At, Ct_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('N', 'N', 'T', B, A, C_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'N', 'T', Bt, A, C_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('N', 'T', 'T', B, At, C_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'T', 'T', Bt, At, C_out, unit_nr=io_unit, filter_eps=filter_eps)\n\n CALL dbcsr_tas_test_mm('N', 'N', 'N', A, C, Bt_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'N', 'N', At, C, Bt_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('N', 'T', 'N', A, Ct, Bt_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'T', 'N', At, Ct, Bt_out, unit_nr=io_unit, filter_eps=filter_eps)\n\n CALL dbcsr_tas_test_mm('N', 'N', 'T', A, C, B_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'N', 'T', At, C, B_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('N', 'T', 'T', A, Ct, B_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'T', 'T', At, Ct, B_out, unit_nr=io_unit, filter_eps=filter_eps)\n\n CALL dbcsr_tas_test_mm('N', 'N', 'N', C, B, At_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'N', 'N', Ct, B, At_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('N', 'T', 'N', C, Bt, At_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'T', 'N', Ct, Bt, At_out, unit_nr=io_unit, filter_eps=filter_eps)\n\n CALL dbcsr_tas_test_mm('N', 'N', 'T', C, B, A_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'N', 'T', Ct, B, A_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('N', 'T', 'T', C, Bt, A_out, unit_nr=io_unit, filter_eps=filter_eps)\n CALL dbcsr_tas_test_mm('T', 'T', 'T', Ct, Bt, A_out, unit_nr=io_unit, filter_eps=filter_eps)\n\n CALL dbcsr_tas_destroy(A)\n CALL dbcsr_tas_destroy(At)\n CALL dbcsr_tas_destroy(B)\n CALL dbcsr_tas_destroy(Bt)\n CALL dbcsr_tas_destroy(C)\n CALL dbcsr_tas_destroy(Ct)\n CALL dbcsr_tas_destroy(A_out)\n CALL dbcsr_tas_destroy(At_out)\n CALL dbcsr_tas_destroy(B_out)\n CALL dbcsr_tas_destroy(Bt_out)\n CALL dbcsr_tas_destroy(C_out)\n CALL dbcsr_tas_destroy(Ct_out)\n\n CALL mp_comm_free(mp_comm_A)\n CALL mp_comm_free(mp_comm_At)\n CALL mp_comm_free(mp_comm_B)\n CALL mp_comm_free(mp_comm_Bt)\n CALL mp_comm_free(mp_comm_C)\n CALL mp_comm_free(mp_comm_Ct)\n\n call dbcsr_print_statistics(.true.)\n CALL dbcsr_finalize_lib()\n\n CALL mp_world_finalize()\n\nEND PROGRAM\n" }, { "path": "tests/dbcsr_tensor_test.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n\n//-------------------------------------------------------------------------------------------------!\n// Testing the tensor contraction (13|2)x(54|21)=(3|45)\n// and several other functions, to make sure there are not any segmentation faults\n//-------------------------------------------------------------------------------------------------!\n\nstd::random_device rd;\nstd::mt19937 gen(rd());\nstd::uniform_real_distribution<> dis(-1.0, 1.0);\n\ntemplate T get_rand_real() { return dis(gen); }\n\nstd::vector random_dist(int dist_size, int nbins) {\n std::vector dist(dist_size);\n\n for (int i = 0; i < dist_size; i++) dist[i] = i % nbins;\n\n return dist;\n}\n\ntemplate void printvec(T& v) {\n for (auto i : v) {\n std::cout << i << \" \";\n }\n std::cout << '\\n' << std::endl;\n}\n\ntemplate void fill_random(void* tensor, std::vector> nzblocks, std::function& rand_func) {\n int myrank, mpi_size;\n int dim = nzblocks.size();\n\n MPI_Comm_rank(MPI_COMM_WORLD, &myrank);\n MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);\n\n if (myrank == 0) std::cout << \"Filling Tensor...\" << std::endl;\n if (myrank == 0) std::cout << \"Dimension: \" << dim << std::endl;\n\n int nblocks = nzblocks[0].size();\n std::vector> mynzblocks(dim);\n std::vector idx(dim);\n\n for (int i = 0; i != nblocks; ++i) {\n // make index out of nzblocks\n for (int j = 0; j != dim; ++j) idx[j] = nzblocks[j][i];\n\n int proc = -1;\n\n c_dbcsr_t_get_stored_coordinates(tensor, idx.data(), &proc);\n\n if (proc == myrank) {\n for (int j = 0; j != dim; ++j) mynzblocks[j].push_back(idx[j]);\n }\n }\n\n std::vector dataptr(4, nullptr);\n\n for (int i = 0; i != dim; ++i) {\n dataptr[i] = mynzblocks[i].size() == 0 ? nullptr : &mynzblocks[i][0];\n }\n\n if (myrank == 0) std::cout << \"Reserving blocks...\" << std::endl;\n\n if (mynzblocks[0].size() != 0)\n c_dbcsr_t_reserve_blocks_index(tensor, mynzblocks[0].size(), dataptr[0], dataptr[1], dataptr[2], dataptr[3]);\n\n auto fill_rand = [&](std::vector& blk) {\n for (T& e : blk) {\n e = rand_func();\n //std::cout << e << std::endl;\n }\n };\n\n void* iter = nullptr;\n\n c_dbcsr_t_iterator_start(&iter, tensor);\n\n std::vector loc_idx(dim);\n std::vector blk_sizes(dim);\n std::vector block(1);\n\n int blk = 0;\n int blk_proc = 0;\n\n while (c_dbcsr_t_iterator_blocks_left(iter)) {\n c_dbcsr_t_iterator_next_block(iter, loc_idx.data(), &blk, &blk_proc, blk_sizes.data(), nullptr);\n\n int tot = 1;\n for (int i = 0; i != dim; ++i) {\n tot *= blk_sizes[i];\n }\n\n block.resize(tot);\n\n fill_rand(block);\n\n c_dbcsr_t_put_block(tensor, loc_idx.data(), blk_sizes.data(), block.data(), nullptr, nullptr);\n }\n\n c_dbcsr_t_iterator_stop(&iter);\n\n c_dbcsr_t_finalize(tensor);\n}\n\n\nint main(int argc, char* argv[]) {\n MPI_Init(&argc, &argv);\n\n int mpi_size, mpi_rank;\n MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);\n MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);\n\n c_dbcsr_init_lib(MPI_COMM_WORLD, nullptr);\n\n void* pgrid_3d = nullptr;\n void* pgrid_4d = nullptr;\n\n std::vector dims4(4);\n std::vector dims3(3);\n\n MPI_Fint fcomm = MPI_Comm_c2f(MPI_COMM_WORLD);\n\n c_dbcsr_t_pgrid_create(&fcomm, dims3.data(), dims3.size(), &pgrid_3d, nullptr);\n\n c_dbcsr_t_pgrid_create(&fcomm, dims4.data(), dims4.size(), &pgrid_4d, nullptr);\n\n if (mpi_rank == 0) {\n std::cout << \"pgrid3-dimensions:\" << std::endl;\n printvec(dims3);\n\n std::cout << \"pgrid4-dimensions:\" << std::endl;\n printvec(dims4);\n }\n\n\n // block sizes\n std::vector blk1, blk2, blk3, blk4, blk5;\n // blk indices of non-zero blocks\n std::vector nz11, nz12, nz13, nz21, nz22, nz24, nz25, nz33, nz34, nz35;\n\n blk1 = {3, 9, 12, 1};\n blk2 = {4, 2, 3, 1, 9, 2, 32, 10, 5, 8, 7};\n blk3 = {7, 3, 8, 7, 9, 5, 10, 23, 2};\n blk4 = {8, 1, 4, 13, 6};\n blk5 = {4, 2, 22};\n\n nz11 = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3};\n nz12 = {2, 4, 4, 4, 5, 5, 6, 7, 9, 10, 10, 0, 0, 3, 6, 6, 8, 9, 1, 1, 4, 5, 7, 7, 8, 10, 10, 1, 3, 4, 4, 7};\n nz13 = {6, 2, 4, 8, 5, 7, 1, 7, 2, 1, 2, 0, 3, 5, 1, 6, 4, 7, 2, 6, 0, 3, 2, 6, 7, 4, 7, 8, 5, 0, 1, 6};\n\n nz21 = {0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3};\n nz22 = {0, 2, 3, 5, 9, 1, 1, 3, 4, 4, 5, 5, 5, 6, 6, 8, 8, 8, 9, 10, 0, 2, 2, 3, 4, 5, 7, 8, 10, 10, 0, 2, 3, 5, 9, 10};\n nz24 = {2, 4, 1, 2, 1, 2, 4, 0, 0, 3, 1, 2, 3, 0, 3, 2, 3, 3, 1, 0, 2, 0, 0, 2, 3, 2, 3, 1, 1, 2, 0, 0, 2, 1, 4, 4};\n nz25 = {0, 2, 1, 0, 0, 1, 2, 0, 2, 0, 1, 2, 1, 0, 2, 1, 2, 1, 0, 1, 2, 0, 1, 2, 1, 1, 1, 2, 0, 1, 0, 2, 1, 0, 2, 1};\n\n nz33 = {1, 3, 4, 4, 4, 5, 5, 7};\n nz34 = {2, 1, 0, 0, 2, 1, 3, 4};\n nz35 = {2, 1, 0, 1, 2, 1, 0, 0};\n\n // (13|2)x(54|21)=(3|45)\n // distribute blocks\n std::vector dist11 = random_dist(blk1.size(), dims3[0]);\n std::vector dist12 = random_dist(blk2.size(), dims3[1]);\n std::vector dist13 = random_dist(blk3.size(), dims3[2]);\n\n std::vector dist21 = random_dist(blk1.size(), dims4[0]);\n std::vector dist22 = random_dist(blk2.size(), dims4[1]);\n std::vector dist23 = random_dist(blk4.size(), dims4[2]);\n std::vector dist24 = random_dist(blk5.size(), dims4[3]);\n\n std::vector dist31 = random_dist(blk3.size(), dims3[0]);\n std::vector dist32 = random_dist(blk4.size(), dims3[1]);\n std::vector dist33 = random_dist(blk5.size(), dims3[2]);\n\n\n if (mpi_rank == 0) {\n std::cout << \"dist11:\" << std::endl;\n printvec(dist11);\n\n std::cout << \"dist12:\" << std::endl;\n printvec(dist12);\n\n std::cout << \"dist13:\" << std::endl;\n printvec(dist13);\n\n std::cout << \"dist21:\" << std::endl;\n printvec(dist21);\n\n std::cout << \"dist22:\" << std::endl;\n printvec(dist22);\n\n std::cout << \"dist23:\" << std::endl;\n printvec(dist23);\n\n std::cout << \"dist24:\" << std::endl;\n printvec(dist24);\n\n std::cout << \"dist31:\" << std::endl;\n printvec(dist31);\n\n std::cout << \"dist32:\" << std::endl;\n printvec(dist32);\n\n std::cout << \"dist33:\" << std::endl;\n printvec(dist33);\n }\n\n void* dist1 = nullptr;\n void* dist2 = nullptr;\n void* dist3 = nullptr;\n\n // (13|2)x(54|21)=(3|45)\n std::vector map11, map12, map21, map22, map31, map32;\n\n map11 = {0, 2};\n map12 = {1};\n map21 = {3, 2};\n map22 = {1, 0};\n map31 = {0};\n map32 = {1, 2};\n\n if (mpi_rank == 0) std::cout << \"Creating dist objects...\" << '\\n' << std::endl;\n\n // create distribution objects\n c_dbcsr_t_distribution_new(\n &dist1, pgrid_3d, dist11.data(), dist11.size(), dist12.data(), dist12.size(), dist13.data(), dist13.size(), nullptr, 0);\n\n c_dbcsr_t_distribution_new(&dist2, pgrid_4d, dist21.data(), dist21.size(), dist22.data(), dist22.size(), dist23.data(),\n dist23.size(), dist24.data(), dist24.size());\n\n c_dbcsr_t_distribution_new(\n &dist3, pgrid_3d, dist31.data(), dist31.size(), dist32.data(), dist32.size(), dist33.data(), dist33.size(), nullptr, 0);\n\n // create tensors\n // (13|2)x(54|21)=(3|45)\n\n void* tensor1 = nullptr;\n void* tensor2 = nullptr;\n void* tensor3 = nullptr;\n\n if (mpi_rank == 0) std::cout << \"Creating tensors...\" << std::endl;\n\n c_dbcsr_t_create_new(&tensor1, \"(13|2)\", dist1, map11.data(), map11.size(), map12.data(), map12.size(), nullptr, blk1.data(),\n blk1.size(), blk2.data(), blk2.size(), blk3.data(), blk3.size(), nullptr, 0);\n\n c_dbcsr_t_create_new(&tensor2, \"(54|21)\", dist2, map21.data(), map21.size(), map22.data(), map22.size(), nullptr, blk1.data(),\n blk1.size(), blk2.data(), blk2.size(), blk4.data(), blk4.size(), blk5.data(), blk5.size());\n\n c_dbcsr_t_create_new(&tensor3, \"(3|45)\", dist3, map31.data(), map31.size(), map32.data(), map32.size(), nullptr, blk3.data(),\n blk3.size(), blk4.data(), blk4.size(), blk5.data(), blk5.size(), nullptr, 0);\n\n // fill the tensors\n\n std::function drand = get_rand_real;\n\n if (mpi_rank == 0) std::cout << \"Tensor 1\" << '\\n' << std::endl;\n fill_random(tensor1, {nz11, nz12, nz13}, drand);\n if (mpi_rank == 0) std::cout << \"Tensor 2\" << '\\n' << std::endl;\n fill_random(tensor2, {nz21, nz22, nz24, nz25}, drand);\n if (mpi_rank == 0) std::cout << \"Tensor 3\" << '\\n' << std::endl;\n fill_random(tensor3, {nz33, nz34, nz35}, drand);\n\n // contracting\n\n // (13|2)x(54|21)=(3|45)\n\n if (mpi_rank == 0) std::cout << \"Contracting...\" << std::endl;\n\n // cn : indices to be contracted\n // noncn : indices not to be contracted\n // mapn : how nonc indices map to tensor 3\n std::vector c1, nonc1, c2, nonc2, map1, map2;\n c1 = {0, 1};\n nonc1 = {2};\n c2 = {0, 1};\n nonc2 = {2, 3};\n map1 = {0};\n map2 = {1, 2};\n\n\n int unit_nr = -1;\n if (mpi_rank == 0) unit_nr = 6;\n bool log_verbose = true;\n\n // tensor_3(map_1, map_2) := 0.2 * tensor_1(notcontract_1, contract_1)\n // * tensor_2(contract_2, notcontract_2)\n // + 0.8 * tensor_3(map_1, map_2)\n\n c_dbcsr_t_contract_r_dp(0.2, tensor1, tensor2, 0.8, tensor3, c1.data(), c1.size(), nonc1.data(), nonc1.size(), c2.data(),\n c2.size(), nonc2.data(), nonc2.size(), map1.data(), map1.size(), map2.data(), map2.size(), nullptr, nullptr, nullptr, nullptr,\n nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, &unit_nr, &log_verbose);\n\n // ====================================================\n // ====== TESTING OTHER FUNCTIONS =============\n // ====================================================\n\n // ======== GET_INFO ===========\n\n std::vector cnblkstot(3), nfulltot(3), cnblksloc(3), nfullloc(3), pdims(3), ploc(3);\n\n char* name = nullptr;\n int data_type = 0;\n\n std::vector nblksloc(3);\n std::vector nblkstot(3);\n\n for (int i = 0; i != 3; ++i) {\n nblksloc[i] = c_dbcsr_t_nblks_local(tensor1, i);\n nblkstot[i] = c_dbcsr_t_nblks_total(tensor1, i);\n }\n\n std::vector> c_blks_local(3);\n std::vector> c_proc_dist(3);\n std::vector> c_blk_size(3);\n std::vector> c_blk_offset(3);\n for (int i = 0; i != 3; ++i) {\n c_blks_local[i].resize(nblksloc[i]);\n c_proc_dist[i].resize(nblkstot[i]);\n c_blk_size[i].resize(nblkstot[i]);\n c_blk_offset[i].resize(nblkstot[i]);\n }\n\n c_dbcsr_t_get_info(tensor1, 3, cnblkstot.data(), nfulltot.data(), cnblksloc.data(), nfullloc.data(), pdims.data(), ploc.data(),\n nblksloc[0], nblksloc[1], nblksloc[2], 0, nblkstot[0], nblkstot[1], nblkstot[2], 0, c_blks_local[0].data(),\n c_blks_local[1].data(), c_blks_local[2].data(), nullptr, c_proc_dist[0].data(), c_proc_dist[1].data(), c_proc_dist[2].data(),\n nullptr, c_blk_size[0].data(), c_blk_size[1].data(), c_blk_size[2].data(), nullptr, c_blk_offset[0].data(),\n c_blk_offset[1].data(), c_blk_offset[2].data(), nullptr, nullptr, &name, &data_type);\n\n std::string tname(name);\n\n if (mpi_rank == 0) {\n std::cout << \"Testing get_info for Tensor 1...\" << std::endl;\n std::cout << \"Name: \" << tname << std::endl;\n std::cout << \"Data_type: \" << data_type << std::endl;\n }\n\n for (int rank = 0; rank != mpi_size; ++rank) {\n if (rank == mpi_rank) {\n std::cout << \"======= Process: \" << rank << \" ========\" << std::endl;\n\n std::cout << \"Total number of blocks:\" << std::endl;\n printvec(cnblkstot);\n\n std::cout << \"Total number of elements:\" << std::endl;\n printvec(nfulltot);\n\n std::cout << \"Total number of local blocks:\" << std::endl;\n printvec(cnblksloc);\n\n std::cout << \"Total number of local elements:\" << std::endl;\n printvec(nfullloc);\n\n std::cout << \"Pgrid dimensions:\" << std::endl;\n printvec(pdims);\n\n std::cout << \"Process coordinates:\" << std::endl;\n printvec(ploc);\n\n std::cout << \"blks_local:\" << std::endl;\n for (int i = 0; i != 3; ++i) {\n printvec(c_blks_local[i]);\n }\n\n std::cout << \"proc_dist:\" << std::endl;\n for (int i = 0; i != 3; ++i) {\n printvec(c_proc_dist[i]);\n }\n\n std::cout << \"blk_size:\" << std::endl;\n for (int i = 0; i != 3; ++i) {\n printvec(c_blk_size[i]);\n }\n\n std::cout << \"blk_offset:\" << std::endl;\n for (int i = 0; i != 3; ++i) {\n printvec(c_blk_offset[i]);\n }\n }\n\n MPI_Barrier(MPI_COMM_WORLD);\n }\n\n // ================ GET_MAPPING_INFO ======================\n\n int ndim_nd = 0, ndim1_2d = 0, ndim2_2d = 0;\n std::vector dims_2d_i8(2);\n std::vector dims_2d(2);\n\n int nd_size = 3;\n int nd_row_size = c_dbcsr_t_ndims_matrix_row(tensor1);\n int nd_col_size = c_dbcsr_t_ndims_matrix_column(tensor1);\n\n std::vector dims_nd(nd_size), dims1_2d(nd_row_size), dims2_2d(nd_col_size), map1_2d(nd_row_size), map2_2d(nd_col_size),\n map_nd(nd_size);\n\n int base;\n bool col_major;\n\n c_dbcsr_t_get_mapping_info(tensor1, 3, nd_row_size, nd_col_size, &ndim_nd, &ndim1_2d, &ndim2_2d, dims_2d_i8.data(),\n dims_2d.data(), dims_nd.data(), dims1_2d.data(), dims2_2d.data(), map1_2d.data(), map2_2d.data(), map_nd.data(), &base,\n &col_major);\n\n if (mpi_rank == 0) {\n std::cout << \"Testing get_mapping_info for Tensor 1...\" << std::endl;\n\n std::cout << \"ndim_nd = \" << ndim_nd << std::endl;\n std::cout << \"ndim1_2d = \" << ndim1_2d << std::endl;\n std::cout << \"ndim2_2d = \" << ndim2_2d << std::endl;\n\n std::cout << \"dims_2d_i8: \";\n printvec(dims_2d_i8);\n\n std::cout << \"dims_2d: \";\n printvec(dims_2d);\n\n std::cout << \"dims_nd: \" << std::endl;\n printvec(dims_nd);\n\n std::cout << \"dims1_2d: \" << std::endl;\n printvec(dims1_2d);\n\n std::cout << \"dims2_2d: \" << std::endl;\n printvec(dims2_2d);\n\n std::cout << \"map1_2d: \" << std::endl;\n printvec(map1_2d);\n\n std::cout << \"map2_2d: \" << std::endl;\n printvec(map2_2d);\n\n std::cout << \"map_nd: \" << std::endl;\n printvec(map_nd);\n\n std::cout << \"Base: \" << base << std::endl;\n std::cout << \"col_major \" << col_major << std::endl;\n }\n\n // ======== TESTING contract_index ================\n\n long long int rsize = c_dbcsr_t_max_nblks_local(tensor3);\n std::vector result_index(rsize * 3);\n int nblks_loc = 0;\n\n if (mpi_rank == 0)\n std::cout << \"\\n\"\n << \"Testing c_dbcsr_t_contract_index...\\n\"\n << std::endl;\n c_dbcsr_t_contract_index_r_dp(0.2, tensor1, tensor2, 0.8, tensor3, c1.data(), c1.size(), nonc1.data(), nonc1.size(), c2.data(),\n c2.size(), nonc2.data(), nonc2.size(), map1.data(), map1.size(), map2.data(), map2.size(), nullptr, nullptr, nullptr, nullptr,\n &nblks_loc, result_index.data(), rsize, 3);\n\n for (int ip = 0; ip != mpi_size; ++ip) {\n if (ip == mpi_rank) {\n std::cout << \"Result Indices on Rank \" << ip << std::endl;\n\n for (int i = 0; i != nblks_loc; ++i) {\n for (int n = 0; n != 3; ++n) {\n std::cout << result_index[i + n * rsize] << \" \";\n }\n std::cout << std::endl;\n }\n }\n\n MPI_Barrier(MPI_COMM_WORLD);\n }\n\n c_dbcsr_t_destroy(&tensor1);\n c_dbcsr_t_destroy(&tensor2);\n c_dbcsr_t_destroy(&tensor3);\n\n c_dbcsr_t_distribution_destroy(&dist1);\n c_dbcsr_t_distribution_destroy(&dist2);\n c_dbcsr_t_distribution_destroy(&dist3);\n\n c_dbcsr_t_pgrid_destroy(&pgrid_3d, nullptr);\n c_dbcsr_t_pgrid_destroy(&pgrid_4d, nullptr);\n\n c_free_string(&name);\n\n c_dbcsr_finalize_lib();\n\n MPI_Finalize();\n\n return 0;\n}\n" }, { "path": "tests/dbcsr_tensor_unittest.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_tensor_unittest\n !! DBCSR tensor unit test\n USE dbcsr_api, ONLY: dbcsr_finalize_lib, &\n dbcsr_init_lib, &\n dbcsr_type_real_8, &\n dbcsr_print_statistics\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mpiwrap, ONLY: mp_cart_create, &\n mp_comm_free, &\n mp_environ, &\n mp_world_finalize, &\n mp_world_init, mp_comm_type\n USE dbcsr_tensor_test, ONLY: dbcsr_t_contract_test, &\n dbcsr_t_setup_test_tensor, &\n dbcsr_t_test_formats, &\n dbcsr_t_reset_randmat_seed\n USE dbcsr_tensor_types, ONLY: &\n dbcsr_t_create, dbcsr_t_destroy, dbcsr_t_distribution_destroy, dbcsr_t_distribution_new, &\n dbcsr_t_distribution_type, dbcsr_t_nd_mp_comm, dbcsr_t_type, dbcsr_t_pgrid_type, &\n dbcsr_t_pgrid_create, dbcsr_t_get_info, dbcsr_t_pgrid_destroy, ndims_tensor, dbcsr_t_default_distvec\n USE dbcsr_data_methods, ONLY: dbcsr_scalar\n USE dbcsr_kinds, ONLY: real_8\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n INTEGER :: numnodes, mynode, io_unit\n INTEGER :: ndims, nblks_alloc, nblks_1, nblks_2, nblks_3, nblks_4, nblks_5, &\n nblks_alloc_1, nblks_alloc_2, nblks_alloc_3, nblks_alloc_4, nblks_alloc_5\n INTEGER, DIMENSION(:), ALLOCATABLE :: size_1, size_2, size_3, size_4, size_5, dist1_1, dist1_2, dist1_3, &\n dist2_1, dist2_2, dist3_1, dist3_2, dist3_3, dist4_1, dist4_2, &\n dist4_3, dist4_4, dist5_1, dist5_2, dist5_3\n INTEGER, DIMENSION(:), ALLOCATABLE :: blk_ind_1, blk_ind_2, blk_ind_3, blk_ind_4, blk_ind_1_1, blk_ind_2_1, &\n blk_ind_3_1, blk_ind_3_2, blk_ind_4_2, blk_ind_1_3, blk_ind_2_3, &\n blk_ind_4_3, blk_ind_1_4, blk_ind_2_4, blk_ind_4_4, blk_ind_5_4, &\n blk_ind_3_5, blk_ind_4_5, blk_ind_5_5\n INTEGER, DIMENSION(:), ALLOCATABLE :: map11, map31, map12, map32, map21, map22\n\n LOGICAL, PARAMETER :: verbose = .FALSE.\n TYPE(dbcsr_t_distribution_type) :: dist1, dist2, dist3\n TYPE(dbcsr_t_type) :: tensor_A, tensor_B, tensor_C\n\n LOGICAL, PARAMETER :: test_format = .TRUE.\n LOGICAL, PARAMETER :: test_contraction = .TRUE.\n INTEGER, DIMENSION(4) :: pdims_4d\n INTEGER, DIMENSION(3) :: pdims_3d\n INTEGER, DIMENSION(2) :: pdims_2d\n TYPE(dbcsr_t_pgrid_type) :: pgrid_2d, pgrid_3d, pgrid_4d\n INTEGER, DIMENSION(:), ALLOCATABLE :: bounds_t\n INTEGER, DIMENSION(:, :), ALLOCATABLE :: bounds, bounds_1, bounds_2\n TYPE(mp_comm_type) :: mp_comm\n\n CALL mp_world_init(mp_comm)\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n ! set standard output parameters\n io_unit = -1\n IF (mynode .EQ. 0) io_unit = default_output_unit\n\n ! initialize libdbcsr\n CALL dbcsr_init_lib(mp_comm%get_handle(), io_unit)\n\n CALL dbcsr_t_reset_randmat_seed()\n\n ! Process grid\n\n IF (test_format) THEN\n!--------------------------------------------------------------------------------------------------!\n! Test 1: Testing matrix representations of tensor rank 2 !\n!--------------------------------------------------------------------------------------------------!\n ndims = 2\n\n ! Number of blocks in each dimension\n nblks_1 = 14\n nblks_2 = 21\n\n ! Block sizes in each dimension\n ALLOCATE (size_1(nblks_1), size_2(nblks_2))\n\n size_1(:) = [3, 5, 1, 23, 2, 3, 1, 6, 3, 8, 2, 3, 5, 1]\n size_2(:) = [4, 2, 5, 3, 1, 5, 13, 5, 2, 4, 5, 6, 7, 2, 3, 1, 2, 6, 9, 12, 21]\n\n ! Number of non-zero blocks\n nblks_alloc = 12\n ALLOCATE (blk_ind_1(nblks_alloc), blk_ind_2(nblks_alloc))\n\n ! Indices of non-zero blocks (s.t. index of ith block is [blk_ind_1(i), blk_ind_2(i), ...])\n blk_ind_1(:) = [1, 1, 1, 2, 4, 4, 7, 10, 10, 10, 10, 13] !&\n blk_ind_2(:) = [1, 3, 11, 15, 4, 17, 21, 6, 9, 13, 19, 7] !&\n\n ! Test tensor formats\n CALL dbcsr_t_test_formats(ndims, mp_comm, io_unit, verbose, &\n blk_size_1=size_1, blk_size_2=size_2, &\n blk_ind_1=blk_ind_1, blk_ind_2=blk_ind_2)\n\n DEALLOCATE (size_1, size_2)\n DEALLOCATE (blk_ind_1, blk_ind_2)\n\n!--------------------------------------------------------------------------------------------------!\n! Test 2: Testing matrix representations of tensor rank 3 !\n!--------------------------------------------------------------------------------------------------!\n ndims = 3\n\n ! Number of blocks in each dimension\n nblks_1 = 4\n nblks_2 = 6\n nblks_3 = 3\n\n ! Block sizes in each dimension\n ALLOCATE (size_1(nblks_1), size_2(nblks_2), size_3(nblks_3))\n\n size_1(:) = [3, 1, 5, 2]\n size_2(:) = [1, 2, 5, 3, 2, 4]\n size_3(:) = [4, 2, 10]\n\n ! Number of non-zero blocks\n nblks_alloc = 6\n ALLOCATE (blk_ind_1(nblks_alloc), blk_ind_2(nblks_alloc), blk_ind_3(nblks_alloc))\n\n ! Indices of non-zero blocks (s.t. index of ith block is [blk_ind_1(i), blk_ind_2(i), ...])\n blk_ind_1(:) = [1, 1, 1, 2, 2, 2] !&\n blk_ind_2(:) = [2, 2, 4, 1, 1, 2] !&\n blk_ind_3(:) = [1, 3, 3, 2, 3, 2] !&\n\n ! Test tensor formats\n CALL dbcsr_t_test_formats(ndims, mp_comm, io_unit, verbose, &\n blk_size_1=size_1, blk_size_2=size_2, blk_size_3=size_3, &\n blk_ind_1=blk_ind_1, blk_ind_2=blk_ind_2, blk_ind_3=blk_ind_3)\n\n DEALLOCATE (size_1, size_2, size_3)\n DEALLOCATE (blk_ind_1, blk_ind_2, blk_ind_3)\n\n!--------------------------------------------------------------------------------------------------!\n! Test 3: Testing matrix representations of tensor rank 4 !\n!--------------------------------------------------------------------------------------------------!\n ndims = 4\n\n ! Number of blocks in each dimension\n nblks_1 = 2\n nblks_2 = 13\n nblks_3 = 7\n nblks_4 = 3\n\n ! Block sizes in each dimension\n ALLOCATE (size_1(nblks_1), size_2(nblks_2), size_3(nblks_3), size_4(nblks_4))\n\n size_1(:) = [5, 9]\n size_2(:) = [6, 2, 5, 12, 3, 1, 7, 2, 5, 17, 9, 3, 4]\n size_3(:) = [2, 7, 3, 8, 5, 15, 1]\n size_4(:) = [12, 5, 3]\n\n ! Number of non-zero blocks\n nblks_alloc = 19\n ALLOCATE (blk_ind_1(nblks_alloc), blk_ind_2(nblks_alloc), blk_ind_3(nblks_alloc), blk_ind_4(nblks_alloc))\n\n ! Indices of non-zero blocks (s.t. index of ith block is [blk_ind_1(i), blk_ind_2(i), ...])\n blk_ind_1(:) = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2] !&\n blk_ind_2(:) = [2, 2, 3, 4, 7, 7, 10, 11, 11, 12, 12, 1, 1, 3, 5, 6, 6, 9, 12] !&\n blk_ind_3(:) = [1, 4, 6, 3, 1, 4, 2, 5, 7, 3, 3, 1, 4, 7, 6, 4, 5, 2, 3] !&\n blk_ind_4(:) = [3, 2, 3, 1, 1, 2, 1, 3, 2, 2, 3, 1, 3, 2, 1, 1, 3, 2, 2] !&\n\n ! Test tensor formats\n CALL dbcsr_t_test_formats(ndims, mp_comm, io_unit, verbose, &\n blk_size_1=size_1, blk_size_2=size_2, blk_size_3=size_3, blk_size_4=size_4, &\n blk_ind_1=blk_ind_1, blk_ind_2=blk_ind_2, blk_ind_3=blk_ind_3, blk_ind_4=blk_ind_4)\n\n DEALLOCATE (size_1, size_2, size_3, size_4)\n DEALLOCATE (blk_ind_1, blk_ind_2, blk_ind_3, blk_ind_4)\n\n END IF\n IF (test_contraction) THEN\n\n!--------------------------------------------------------------------------------------------------!\n! Preparations for tensor contraction tests !\n!--------------------------------------------------------------------------------------------------!\n\n nblks_1 = 4\n nblks_2 = 11\n nblks_3 = 9\n nblks_4 = 5\n nblks_5 = 3\n\n ! Block sizes in each dimension\n ALLOCATE (size_1(nblks_1), size_2(nblks_2), size_3(nblks_3), size_4(nblks_4), size_5(nblks_5))\n\n size_1(:) = [3, 9, 12, 1]\n size_2(:) = [4, 2, 3, 1, 9, 2, 32, 10, 5, 8, 7]\n size_3(:) = [7, 3, 8, 7, 9, 5, 10, 23, 2]\n size_4(:) = [8, 1, 4, 13, 6]\n size_5(:) = [4, 2, 22]\n\n nblks_alloc_1 = 32\n ALLOCATE (blk_ind_1_1(nblks_alloc_1), blk_ind_2_1(nblks_alloc_1), blk_ind_3_1(nblks_alloc_1))\n\n blk_ind_1_1(:) = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, & !&\n 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, & !&\n 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, & !&\n 4, 4] !&\n\n blk_ind_2_1(:) = [ 3, 5, 5, 5, 6, 6, 7, 8, 10, 11, & !&\n 11, 1, 1, 4, 7, 7, 9, 10 , 2, 2, & !&\n 5, 6, 8, 8, 9, 11, 11, 2 , 4, 5, & !&\n 5, 8] !&\n\n blk_ind_3_1(:) = [7, 3, 5, 9, 6, 8, 2, 8, 3, 2, & !&\n 3, 1, 4, 6, 2, 7, 5, 8, 3, 7, & !&\n 1, 4, 3, 7, 8, 5, 8, 9, 6, 1, & !&\n 2, 7] !&\n\n nblks_alloc_2 = 12\n ALLOCATE (blk_ind_3_2(nblks_alloc_2), blk_ind_4_2(nblks_alloc_2))\n\n blk_ind_3_2(:) = [1, 1, 2, 2, 2, 4, 4, 5, 5, 6, & !&\n 8, 8] !&\n blk_ind_4_2(:) = [2, 3, 2, 4, 5, 3, 5, 1, 3, 3, & !&\n 1, 4] !&\n\n nblks_alloc_3 = 5\n ALLOCATE (blk_ind_1_3(nblks_alloc_3), blk_ind_2_3(nblks_alloc_3), blk_ind_4_3(nblks_alloc_3))\n\n blk_ind_1_3(:) = [1, 1, 2, 4, 4]\n blk_ind_2_3(:) = [2, 6, 6, 7, 9]\n blk_ind_4_3(:) = [1, 3, 4, 4, 5]\n\n nblks_alloc_4 = 36\n ALLOCATE (blk_ind_1_4(nblks_alloc_4))\n ALLOCATE (blk_ind_2_4(nblks_alloc_4))\n ALLOCATE (blk_ind_4_4(nblks_alloc_4))\n ALLOCATE (blk_ind_5_4(nblks_alloc_4))\n\n blk_ind_1_4(:) = [ 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, & !&\n 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, & !&\n 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, & !&\n 4, 4, 4, 4, 4, 4] !&\n\n blk_ind_2_4(:) = [ 1, 3, 4, 6, 10, 2, 2, 4, 5, 5, & !&\n 6, 6, 6, 7, 7, 9, 9, 9, 10, 11, & !&\n 1, 3, 3, 4, 5, 6, 8, 9, 11, 11, & !&\n 1, 3, 4, 6, 10, 11] !&\n\n blk_ind_4_4(:) = [ 3, 5, 2, 3, 2, 3, 5, 1, 1, 4, & !&\n 2, 3, 4, 1, 4, 3, 4, 4, 2, 1, & !&\n 3, 1, 1, 3, 4, 3, 4, 2, 2, 3, & !&\n 1, 1, 3, 2, 5, 5] !&\n\n blk_ind_5_4(:) = [ 1, 3, 2, 1, 1, 2, 3, 1, 3, 1, & !&\n 2, 3, 2, 1, 3, 2, 3, 2, 1, 2, & !&\n 3, 1, 2, 3, 2, 2, 2, 3, 1, 2, & !&\n 1, 3, 2, 1, 3, 2] !&\n\n nblks_alloc_5 = 8\n\n ALLOCATE (blk_ind_3_5(nblks_alloc_5), blk_ind_4_5(nblks_alloc_5), blk_ind_5_5(nblks_alloc_5))\n\n blk_ind_3_5(:) = [2, 4, 5, 5, 5, 6, 6, 8]\n blk_ind_4_5(:) = [3, 2, 1, 1, 3, 2, 4, 5]\n blk_ind_5_5(:) = [3, 2, 1, 2, 3, 2, 1, 1]\n\n pdims_4d(:) = 0; pdims_3d(:) = 0; pdims_2d(:) = 0\n CALL dbcsr_t_pgrid_create(mp_comm, pdims_4d, pgrid_4d)\n CALL dbcsr_t_pgrid_create(mp_comm, pdims_3d, pgrid_3d)\n CALL dbcsr_t_pgrid_create(mp_comm, pdims_2d, pgrid_2d)\n\n ALLOCATE (dist1_1(nblks_1))\n CALL dbcsr_t_default_distvec(nblks_1, pdims_3d(1), size_1, dist1_1)\n ALLOCATE (dist1_2(nblks_2))\n CALL dbcsr_t_default_distvec(nblks_2, pdims_3d(2), size_2, dist1_2)\n ALLOCATE (dist1_3(nblks_3))\n CALL dbcsr_t_default_distvec(nblks_3, pdims_3d(3), size_3, dist1_3)\n\n ALLOCATE (dist2_1(nblks_3))\n CALL dbcsr_t_default_distvec(nblks_3, pdims_2d(1), size_3, dist2_1)\n ALLOCATE (dist2_2(nblks_4))\n CALL dbcsr_t_default_distvec(nblks_4, pdims_2d(2), size_4, dist2_2)\n\n ALLOCATE (dist3_1(nblks_1))\n CALL dbcsr_t_default_distvec(nblks_1, pdims_3d(1), size_1, dist3_1)\n ALLOCATE (dist3_2(nblks_2))\n CALL dbcsr_t_default_distvec(nblks_2, pdims_3d(2), size_2, dist3_2)\n ALLOCATE (dist3_3(nblks_4))\n CALL dbcsr_t_default_distvec(nblks_4, pdims_3d(3), size_4, dist3_3)\n\n ALLOCATE (dist4_1(nblks_1))\n CALL dbcsr_t_default_distvec(nblks_1, pdims_4d(1), size_1, dist4_1)\n ALLOCATE (dist4_2(nblks_2))\n CALL dbcsr_t_default_distvec(nblks_2, pdims_4d(2), size_2, dist4_2)\n ALLOCATE (dist4_3(nblks_4))\n CALL dbcsr_t_default_distvec(nblks_4, pdims_4d(3), size_4, dist4_3)\n ALLOCATE (dist4_4(nblks_5))\n CALL dbcsr_t_default_distvec(nblks_5, pdims_4d(4), size_5, dist4_4)\n\n ALLOCATE (dist5_1(nblks_3))\n CALL dbcsr_t_default_distvec(nblks_3, pdims_3d(1), size_3, dist5_1)\n ALLOCATE (dist5_2(nblks_4))\n CALL dbcsr_t_default_distvec(nblks_4, pdims_3d(2), size_4, dist5_2)\n ALLOCATE (dist5_3(nblks_5))\n CALL dbcsr_t_default_distvec(nblks_5, pdims_3d(3), size_5, dist5_3)\n\n!--------------------------------------------------------------------------------------------------!\n! Test 4: Testing tensor contraction (12|3)x(3|4)=(12|4) !\n!--------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(2), map12(1), map21(1), map22(1), map31(2), map32(1))\n map11(:) = [1, 2]\n map12(:) = [3]\n map21(:) = [1]\n map22(:) = [2]\n map31(:) = [1, 2]\n map32(:) = [3]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_2d, dist2_1, dist2_2)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist3_1, dist3_2, dist3_3)\n\n CALL dbcsr_t_create(tensor_A, \"(12|3)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(3|4)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_3, size_4)\n CALL dbcsr_t_create(tensor_C, \"(12|4)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_1, size_2, size_4)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_3_2, blk_ind_4_2)\n\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_1_3, blk_ind_2_3, blk_ind_4_3)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.9_real_8), tensor_A, tensor_B, dbcsr_scalar(0.1_real_8), tensor_C, &\n [3], [2, 1], &\n [1], [2], &\n [2, 1], [3], &\n io_unit, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!--------------------------------------------------------------------------------------------------!\n! Test 5: Testing tensor contraction (2|31)x(4|3)=(24|1) !\n!--------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(1), map12(2), map21(1), map22(1), map31(2), map32(1))\n map11(:) = [2]\n map12(:) = [3, 1]\n map21(:) = [2]\n map22(:) = [1]\n map31(:) = [2, 3]\n map32(:) = [1]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_2d, dist2_1, dist2_2)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist3_1, dist3_2, dist3_3)\n\n CALL dbcsr_t_create(tensor_A, \"(2|31)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(4|3)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_3, size_4)\n CALL dbcsr_t_create(tensor_C, \"(24|1)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_1, size_2, size_4)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_3_2, blk_ind_4_2)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_1_3, blk_ind_2_3, blk_ind_4_3)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.9_real_8), tensor_A, tensor_B, dbcsr_scalar(0.1_real_8), tensor_C, &\n [3], [1, 2], &\n [1], [2], &\n [1, 2], [3], &\n io_unit, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!-------------------------------------------------------------------------------------------------!\n! Test 6: Testing tensor contraction (4|3)x(1|32)=(24|1) !\n!-------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(1), map12(2), map21(1), map22(1), map31(2), map32(1))\n map11(:) = [1]\n map12(:) = [3, 2]\n map21(:) = [2]\n map22(:) = [1]\n map31(:) = [2, 3]\n map32(:) = [1]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_2d, dist2_1, dist2_2)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist3_1, dist3_2, dist3_3)\n\n CALL dbcsr_t_create(tensor_A, \"(1|32)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(4|3)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_3, size_4)\n CALL dbcsr_t_create(tensor_C, \"(24|1)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_1, size_2, size_4)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_3_2, blk_ind_4_2)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_1_3, blk_ind_2_3, blk_ind_4_3)\n\n ALLOCATE (bounds_t(ndims_tensor(tensor_B)))\n CALL dbcsr_t_get_info(tensor_B, nfull_total=bounds_t)\n\n ALLOCATE (bounds(2, 1))\n bounds(1, 1) = 1\n bounds(2, 1) = bounds_t(1) - 21\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.9_real_8), tensor_B, tensor_A, dbcsr_scalar(0.1_real_8), tensor_C, &\n [1], [2], &\n [3], [1, 2], &\n [3], [1, 2], &\n io_unit, &\n bounds_1=bounds, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32, bounds_t, bounds)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!-------------------------------------------------------------------------------------------------!\n! Test 7: Testing tensor contraction (1|24)x(3|4)=(21|3) !\n!-------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(2), map12(1), map21(1), map22(1), map31(1), map32(2))\n map11(:) = [2, 1]\n map12(:) = [3]\n map21(:) = [1]\n map22(:) = [2]\n map31(:) = [1]\n map32(:) = [2, 3]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_2d, dist2_1, dist2_2)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist3_1, dist3_2, dist3_3)\n\n CALL dbcsr_t_create(tensor_A, \"(21|3)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(3|4)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_3, size_4)\n CALL dbcsr_t_create(tensor_C, \"(1|24)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_1, size_2, size_4)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_3_2, blk_ind_4_2)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_1_3, blk_ind_2_3, blk_ind_4_3)\n\n ALLOCATE (bounds_t(ndims_tensor(tensor_C)))\n CALL dbcsr_t_get_info(tensor_C, nfull_total=bounds_t)\n\n ALLOCATE (bounds(2, 2))\n bounds(1, 1) = 4\n bounds(2, 1) = bounds_t(1)\n bounds(1, 2) = 13\n bounds(2, 2) = bounds_t(2) - 10\n DEALLOCATE (bounds_t)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.2_real_8), tensor_C, tensor_B, dbcsr_scalar(0.8_real_8), tensor_A, &\n [3], [1, 2], &\n [2], [1], &\n [1, 2], [3], &\n io_unit, &\n bounds_2=bounds, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32, bounds)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!-------------------------------------------------------------------------------------------------!\n! Test 8: Testing tensor contraction (12|3)x(12|45)=(3|45)\n!-------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(2), map12(1), map21(2), map22(2), map31(1), map32(2))\n map11(:) = [1, 2]\n map12(:) = [3]\n map21(:) = [1, 2]\n map22(:) = [3, 4]\n map31(:) = [1]\n map32(:) = [2, 3]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_4d, dist4_1, dist4_2, dist4_3, dist4_4)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist5_1, dist5_2, dist5_3)\n\n CALL dbcsr_t_create(tensor_A, \"(12|3)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(12|45)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_1, size_2, size_4, size_5)\n CALL dbcsr_t_create(tensor_C, \"(3|45)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_3, size_4, size_5)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_1_4, blk_ind_2_4, blk_ind_4_4, blk_ind_5_4)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_3_5, blk_ind_4_5, blk_ind_5_5)\n\n ALLOCATE (bounds_t(ndims_tensor(tensor_A)))\n CALL dbcsr_t_get_info(tensor_A, nfull_total=bounds_t)\n ALLOCATE (bounds_1(2, 2))\n bounds_1(1, 1) = 7\n bounds_1(2, 1) = bounds_t(2) - 17\n bounds_1(1, 2) = 8\n bounds_1(2, 2) = bounds_t(1)\n DEALLOCATE (bounds_t)\n\n ALLOCATE (bounds_t(ndims_tensor(tensor_B)))\n CALL dbcsr_t_get_info(tensor_B, nfull_total=bounds_t)\n ALLOCATE (bounds_2(2, 2))\n bounds_2(1, 1) = 1\n bounds_2(2, 1) = bounds_t(3)\n bounds_2(1, 2) = 1\n bounds_2(2, 2) = bounds_t(4) - 18\n DEALLOCATE (bounds_t)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.2_real_8), tensor_A, tensor_B, dbcsr_scalar(0.8_real_8), tensor_C, &\n [2, 1], [3], &\n [2, 1], [3, 4], &\n [1], [2, 3], &\n io_unit, &\n bounds_1=bounds_1, &\n bounds_3=bounds_2, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32, bounds_1, bounds_2)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!-------------------------------------------------------------------------------------------------!\n! Test 9: Testing tensor contraction (3|21)x(12|45)=(3|45)\n!-------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(1), map12(2), map21(2), map22(2), map31(1), map32(2))\n map11(:) = [3]\n map12(:) = [2, 1]\n map21(:) = [1, 2]\n map22(:) = [3, 4]\n map31(:) = [1]\n map32(:) = [2, 3]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_4d, dist4_1, dist4_2, dist4_3, dist4_4)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist5_1, dist5_2, dist5_3)\n\n CALL dbcsr_t_create(tensor_A, \"(3|21)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(12|45)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_1, size_2, size_4, size_5)\n CALL dbcsr_t_create(tensor_C, \"(3|45)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_3, size_4, size_5)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_1_4, blk_ind_2_4, blk_ind_4_4, blk_ind_5_4)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_3_5, blk_ind_4_5, blk_ind_5_5)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.2_real_8), tensor_A, tensor_B, dbcsr_scalar(0.8_real_8), tensor_C, &\n [2, 1], [3], &\n [2, 1], [3, 4], &\n [1], [2, 3], &\n io_unit, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!-------------------------------------------------------------------------------------------------!\n! Test 10: Testing tensor contraction (13|2)x(54|21)=(3|45)\n!-------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(2), map12(1), map21(2), map22(2), map31(1), map32(2))\n map11(:) = [1, 3]\n map12(:) = [2]\n map21(:) = [4, 3]\n map22(:) = [2, 1]\n map31(:) = [1]\n map32(:) = [2, 3]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_4d, dist4_1, dist4_2, dist4_3, dist4_4)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist5_1, dist5_2, dist5_3)\n\n CALL dbcsr_t_create(tensor_A, \"(13|2)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(54|21)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_1, size_2, size_4, size_5)\n CALL dbcsr_t_create(tensor_C, \"(3|45)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_3, size_4, size_5)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_1_4, blk_ind_2_4, blk_ind_4_4, blk_ind_5_4)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_3_5, blk_ind_4_5, blk_ind_5_5)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.2_real_8), tensor_A, tensor_B, dbcsr_scalar(0.8_real_8), tensor_C, &\n [1, 2], [3], &\n [1, 2], [3, 4], &\n [1], [2, 3], &\n io_unit, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!-------------------------------------------------------------------------------------------------!\n! Test 10: Testing tensor contraction (54|21)x(2|31)=(43|5)\n!-------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(1), map12(2), map21(2), map22(2), map31(2), map32(1))\n map11(:) = [2]\n map12(:) = [3, 1]\n map21(:) = [4, 3]\n map22(:) = [2, 1]\n map31(:) = [2, 1]\n map32(:) = [3]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_4d, dist4_1, dist4_2, dist4_3, dist4_4)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist5_1, dist5_2, dist5_3)\n\n CALL dbcsr_t_create(tensor_A, \"(2|31)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(54|21)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_1, size_2, size_4, size_5)\n CALL dbcsr_t_create(tensor_C, \"(43|5)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_3, size_4, size_5)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_1_4, blk_ind_2_4, blk_ind_4_4, blk_ind_5_4)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_3_5, blk_ind_4_5, blk_ind_5_5)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.2_real_8), tensor_B, tensor_A, dbcsr_scalar(0.8_real_8), tensor_C, &\n [2, 1], [4, 3], &\n [2, 1], [3], &\n [3, 2], [1], &\n io_unit, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!-------------------------------------------------------------------------------------------------!\n! Test 11: Testing tensor contraction (241|5)x(31|2)=(5|43)\n!-------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(2), map12(1), map21(3), map22(1), map31(1), map32(2))\n map11(:) = [3, 1]\n map12(:) = [2]\n map21(:) = [2, 3, 1]\n map22(:) = [4]\n map31(:) = [3]\n map32(:) = [2, 1]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_4d, dist4_1, dist4_2, dist4_3, dist4_4)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist5_1, dist5_2, dist5_3)\n\n CALL dbcsr_t_create(tensor_A, \"(31|2)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(241|5)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_1, size_2, size_4, size_5)\n CALL dbcsr_t_create(tensor_C, \"(5|43)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_3, size_4, size_5)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_1_4, blk_ind_2_4, blk_ind_4_4, blk_ind_5_4)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_3_5, blk_ind_4_5, blk_ind_5_5)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.6_real_8), tensor_B, tensor_A, dbcsr_scalar(0.4_real_8), tensor_C, &\n [2, 1], [3, 4], &\n [2, 1], [3], &\n [2, 3], [1], &\n io_unit, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!-------------------------------------------------------------------------------------------------!\n! Test 12: Testing tensor contraction (34|5)x(12|3)=(14|25)\n!-------------------------------------------------------------------------------------------------!\n\n ALLOCATE (map11(2), map12(1), map21(2), map22(2), map31(2), map32(1))\n map11(:) = [1, 2]\n map12(:) = [3]\n map21(:) = [1, 3]\n map22(:) = [2, 4]\n map31(:) = [1, 2]\n map32(:) = [3]\n\n CALL dbcsr_t_distribution_new(dist1, pgrid_3d, dist1_1, dist1_2, dist1_3)\n CALL dbcsr_t_distribution_new(dist2, pgrid_4d, dist4_1, dist4_2, dist4_3, dist4_4)\n CALL dbcsr_t_distribution_new(dist3, pgrid_3d, dist5_1, dist5_2, dist5_3)\n\n CALL dbcsr_t_create(tensor_A, \"(12|3)\", dist1, map11, map12, dbcsr_type_real_8, &\n size_1, size_2, size_3)\n CALL dbcsr_t_create(tensor_B, \"(14|25)\", dist2, map21, map22, dbcsr_type_real_8, &\n size_1, size_2, size_4, size_5)\n CALL dbcsr_t_create(tensor_C, \"(34|5)\", dist3, map31, map32, dbcsr_type_real_8, &\n size_3, size_4, size_5)\n\n CALL dbcsr_t_setup_test_tensor(tensor_A, mp_comm, .FALSE., blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n CALL dbcsr_t_setup_test_tensor(tensor_B, mp_comm, .FALSE., blk_ind_1_4, blk_ind_2_4, blk_ind_4_4, blk_ind_5_4)\n CALL dbcsr_t_setup_test_tensor(tensor_C, mp_comm, .FALSE., blk_ind_3_5, blk_ind_4_5, blk_ind_5_5)\n\n CALL dbcsr_t_contract_test(dbcsr_scalar(0.2_real_8), tensor_C, tensor_A, dbcsr_scalar(0.8_real_8), tensor_B, &\n [1], [2, 3], &\n [3], [1, 2], &\n [3, 4], [1, 2], &\n io_unit, &\n log_verbose=verbose, &\n write_int=.TRUE.)\n\n DEALLOCATE (map11, map12, map21, map22, map31, map32)\n\n CALL dbcsr_t_destroy(tensor_A)\n CALL dbcsr_t_destroy(tensor_B)\n CALL dbcsr_t_destroy(tensor_C)\n CALL dbcsr_t_distribution_destroy(dist1)\n CALL dbcsr_t_distribution_destroy(dist2)\n CALL dbcsr_t_distribution_destroy(dist3)\n\n!--------------------------------------------------------------------------------------------------!\n! Cleanup for tensor contraction tests !\n!--------------------------------------------------------------------------------------------------!\n\n DEALLOCATE (blk_ind_1_1, blk_ind_2_1, blk_ind_3_1)\n DEALLOCATE (blk_ind_3_2, blk_ind_4_2)\n DEALLOCATE (blk_ind_1_3, blk_ind_2_3, blk_ind_4_3)\n DEALLOCATE (blk_ind_1_4, blk_ind_2_4, blk_ind_4_4, blk_ind_5_4)\n DEALLOCATE (blk_ind_3_5, blk_ind_4_5, blk_ind_5_5)\n DEALLOCATE (size_1, size_2, size_3, size_4, size_5, dist1_1, dist1_2, dist1_3, &\n dist2_1, dist2_2, dist3_1, dist3_2, dist3_3, dist4_1, dist4_2, &\n dist4_3, dist4_4, dist5_1, dist5_2, dist5_3)\n CALL dbcsr_t_pgrid_destroy(pgrid_3d)\n CALL dbcsr_t_pgrid_destroy(pgrid_2d)\n CALL dbcsr_t_pgrid_destroy(pgrid_4d)\n\n END IF\n\n!--------------------------------------------------------------------------------------------------!\n! End tests !\n!--------------------------------------------------------------------------------------------------!\n\n call dbcsr_print_statistics(.true.)\n\n ! finalize libdbcsr\n CALL dbcsr_finalize_lib()\n\n ! finalize mpi\n CALL mp_world_finalize()\n\nEND PROGRAM\n" }, { "path": "tests/dbcsr_test.cpp", "content": "/*------------------------------------------------------------------------------------------------*/\n/* Copyright (C) by the DBCSR developers group - All rights reserved */\n/* This file is part of the DBCSR library. */\n/* */\n/* For information on the license, see the LICENSE file. */\n/* For further information please visit https://dbcsr.cp2k.org */\n/* SPDX-License-Identifier: GPL-2.0+ */\n/*------------------------------------------------------------------------------------------------*/\n\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n\n#include \n\n#include \n\n\n// Random distribution by using round-robin assignment\n// of blocks to processors\nstd::vector random_dist(int dist_size, int nbins) {\n std::vector dist(dist_size);\n\n for (int i = 0; i < dist_size; i++) dist[i] = i % nbins;\n\n return dist;\n}\n\n\nint main(int argc, char* argv[]) {\n MPI_Init(&argc, &argv);\n\n int mpi_size, mpi_rank;\n MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);\n MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);\n\n // Make 2D grid\n int dims[2] = {0};\n MPI_Dims_create(mpi_size, 2, dims);\n int periods[2] = {1};\n int reorder = 0;\n MPI_Comm group;\n MPI_Cart_create(MPI_COMM_WORLD, 2, dims, periods, reorder, &group);\n\n int coord[2];\n MPI_Cart_coords(group, mpi_rank, 2, coord);\n\n for (int i = 0; i != mpi_size; ++i) {\n if (mpi_rank == i) {\n std::cout << \"I'm processor \" << mpi_rank << \" over \" << mpi_size << \" proc\"\n << \", (\" << coord[0] << \", \" << coord[1] << \") in the 2D grid\" << std::endl;\n }\n MPI_Barrier(MPI_COMM_WORLD);\n }\n\n c_dbcsr_init_lib(MPI_COMM_WORLD, nullptr);\n\n // Total number of blocks\n int nrows_1 = 4;\n int ncols_1 = 5;\n int nrows_2 = 5;\n int ncols_2 = 4;\n\n // Block sizes\n std::vector row_blk_sizes_1 = {2, 3, 5, 2};\n std::vector col_blk_sizes_1 = {3, 3, 4, 6, 2};\n std::vector row_blk_sizes_2 = col_blk_sizes_1;\n std::vector col_blk_sizes_2 = {5, 2, 5, 3};\n\n auto row_dist_1 = random_dist(nrows_1, dims[0]);\n auto col_dist_1 = random_dist(ncols_1, dims[1]);\n auto row_dist_2 = random_dist(nrows_2, dims[0]);\n auto col_dist_2 = random_dist(ncols_2, dims[1]);\n\n void* dist1 = nullptr;\n void* dist2 = nullptr;\n void* dist3 = nullptr;\n\n if (mpi_rank == 0) std::cout << \"Creating distributions...\" << std::endl;\n\n c_dbcsr_distribution_new(&dist1, group, row_dist_1.data(), row_dist_1.size(), col_dist_1.data(), col_dist_1.size());\n\n c_dbcsr_distribution_new(&dist2, group, row_dist_2.data(), row_dist_2.size(), col_dist_2.data(), col_dist_2.size());\n\n c_dbcsr_distribution_new(&dist3, group, row_dist_1.data(), row_dist_1.size(), col_dist_2.data(), col_dist_2.size());\n\n // Fill all blocks, i.e. dense matrices\n\n\n auto fill_matrix = [&](void* matrix, std::vector& irblks, std::vector& icblks) {\n std::vector block;\n std::vector loc_irblks, loc_icblks;\n\n for (int i = 0; i != (int)irblks.size(); ++i) {\n int blk_proc = -1;\n int ix = irblks[i];\n int jx = icblks[i];\n c_dbcsr_get_stored_coordinates(matrix, ix, jx, &blk_proc);\n if (mpi_rank == blk_proc) {\n loc_irblks.push_back(ix);\n loc_icblks.push_back(jx);\n }\n }\n\n c_dbcsr_reserve_blocks(matrix, loc_irblks.data(), loc_icblks.data(), loc_irblks.size());\n\n void* iter = nullptr;\n c_dbcsr_iterator_start(&iter, matrix, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n while (c_dbcsr_iterator_blocks_left(iter)) {\n int i = -1;\n int j = -1;\n int nblk = -1;\n int rsize = -1;\n int csize = -1;\n int roff = -1;\n int coff = -1;\n bool tr = false;\n\n double* blk = nullptr;\n c_dbcsr_iterator_next_2d_block_d(iter, &i, &j, &blk, &tr, &nblk, &rsize, &csize, &roff, &coff);\n\n std::generate(blk, blk + rsize * csize, [&]() { return static_cast(std::rand()) / RAND_MAX; });\n }\n\n c_dbcsr_iterator_stop(&iter);\n };\n\n\n // create and fill matrix a\n void* matrix_a = nullptr;\n void* matrix_b = nullptr;\n void* matrix_c = nullptr;\n\n if (mpi_rank == 0) std::cout << \"Creating matrices...\" << std::endl;\n\n\n c_dbcsr_create_new(&matrix_a, \"matrix a\", dist1, dbcsr_type_no_symmetry, row_blk_sizes_1.data(), row_blk_sizes_1.size(),\n col_blk_sizes_1.data(), col_blk_sizes_1.size(), nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n c_dbcsr_create_new(&matrix_b, \"matrix b\", dist2, dbcsr_type_no_symmetry, row_blk_sizes_2.data(), row_blk_sizes_2.size(),\n col_blk_sizes_2.data(), col_blk_sizes_2.size(), nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n c_dbcsr_create_new(&matrix_c, \"matrix c\", dist3, dbcsr_type_no_symmetry, row_blk_sizes_1.data(), row_blk_sizes_1.size(),\n col_blk_sizes_2.data(), col_blk_sizes_2.size(), nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n std::vector irblks_1 = {0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3};\n std::vector icblks_1 = {0, 1, 2, 4, 0, 2, 3, 1, 3, 4, 0, 1, 2};\n\n std::vector irblks_2 = {0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 4};\n std::vector icblks_2 = {0, 2, 3, 0, 1, 2, 3, 0, 2, 3, 1, 2, 3, 0, 1, 2, 3};\n\n std::vector irblks_3 = {0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 3};\n std::vector icblks_3 = {0, 1, 2, 3, 0, 2, 3, 1, 2, 3, 0, 1, 2, 3};\n\n if (mpi_rank == 0) std::cout << \"Filling matrices...\" << std::endl;\n\n fill_matrix(matrix_a, irblks_1, icblks_1);\n c_dbcsr_finalize(matrix_a);\n fill_matrix(matrix_b, irblks_2, icblks_2);\n c_dbcsr_finalize(matrix_b);\n fill_matrix(matrix_c, irblks_3, icblks_3);\n c_dbcsr_finalize(matrix_c);\n\n if (mpi_rank == 0) std::cout << \"Multiplying...\" << std::endl;\n\n c_dbcsr_multiply_d('N', 'N', 1.0, matrix_a, matrix_b, 2.0, matrix_c, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr,\n nullptr, nullptr, nullptr);\n\n if (mpi_rank == 0) std::cout << \"Testing get_info for matrix_c\" << std::endl;\n\n int nblkrowstot(0), nblkcolstot(0), nfullrowstot(0), nfullcolstot(0), nblkrowsloc(0), nblkcolsloc(0), nfullrowsloc(0),\n nfullcolsloc(0), my_prow(0), my_pcol(0);\n\n //int *local_rows, *local_cols, *proc_row_dist, *proc_col_dist,\n // *row_blk_size, *col_blk_size, *row_blk_offset, *col_blk_offset;\n\n std::vector local_rows(c_dbcsr_nblkrows_local(matrix_a));\n std::vector local_cols(c_dbcsr_nblkcols_local(matrix_a));\n std::vector proc_row(c_dbcsr_nblkrows_total(matrix_a));\n std::vector proc_col(c_dbcsr_nblkcols_total(matrix_a));\n std::vector row_blk(c_dbcsr_nblkrows_total(matrix_a));\n std::vector col_blk(c_dbcsr_nblkcols_total(matrix_a));\n std::vector row_off(c_dbcsr_nblkrows_total(matrix_a));\n std::vector col_off(c_dbcsr_nblkcols_total(matrix_a));\n\n char* name;\n char matrix_type;\n int data_type;\n\n c_dbcsr_get_info(matrix_c, &nblkrowstot, &nblkcolstot, &nfullrowstot, &nfullcolstot, &nblkrowsloc, &nblkcolsloc, &nfullrowsloc,\n &nfullcolsloc, &my_prow, &my_pcol, local_rows.data(), local_cols.data(), proc_row.data(), proc_col.data(), row_blk.data(),\n col_blk.data(), nullptr, nullptr, nullptr, &name, &matrix_type, &data_type, nullptr);\n\n\n auto printv = [](std::vector& v) {\n for (auto x : v) std::cout << x << \" \";\n std::cout << std::endl;\n };\n\n#define print_var(name) std::cout << #name << \": \" << name << std::endl;\n\n#define print_vec(name) \\\n std::cout << #name << \": \" << std::endl; \\\n printv(name);\n\n if (mpi_rank == 0) {\n std::cout << \"Name: \" << name << std::endl;\n\n print_var(nblkrowstot) print_var(nblkcolstot) print_var(nfullrowstot) print_var(nfullcolstot) print_var(nblkrowsloc)\n print_var(nblkcolsloc) print_var(nfullrowsloc) print_var(nfullcolsloc)\n\n print_vec(local_rows) print_vec(local_cols) print_vec(proc_row) print_vec(proc_col) print_vec(row_blk) print_vec(col_blk)\n print_vec(row_off) print_vec(col_off)\n }\n\n c_free_string(&name);\n\n MPI_Barrier(MPI_COMM_WORLD);\n\n if (mpi_rank == 0) std::cout << \"Testing distribution_get for dist1\" << std::endl;\n\n int *row_dist, *col_dist, *pgrid;\n int nrows, ncols, mynode, numnodes, nprows, npcols, myprow, mypcol, prow_group, pcol_group;\n bool has_threads, subgroups_defined;\n MPI_Comm cgroup;\n\n c_dbcsr_distribution_get(dist1, &row_dist, &col_dist, &nrows, &ncols, &has_threads, &cgroup, &mynode, &numnodes, &nprows, &npcols,\n &myprow, &mypcol, &pgrid, &subgroups_defined, &prow_group, &pcol_group);\n\n if (mpi_rank == 0) {\n print_var(nrows) print_var(ncols) print_var(mynode) print_var(numnodes) print_var(nprows) print_var(npcols) print_var(myprow)\n print_var(mypcol) print_var(prow_group) print_var(pcol_group)\n\n if (cgroup == group) {\n std::cout << \"Correct MPI communicator.\" << std::endl;\n }\n std::cout << \"dist row:\" << std::endl;\n for (int i = 0; i != nrows; ++i) std::cout << row_dist[i] << \" \";\n std::cout << std::endl;\n std::cout << \"dist col:\" << std::endl;\n for (int i = 0; i != ncols; ++i) std::cout << col_dist[i] << \" \";\n std::cout << std::endl;\n\n std::cout << \"grid: \" << std::endl;\n for (int i = 0; i != nprows; ++i) {\n for (int j = 0; j != npcols; ++j) std::cout << pgrid[i + nprows * j] << \" \";\n std::cout << std::endl;\n }\n }\n\n MPI_Barrier(MPI_COMM_WORLD);\n\n c_dbcsr_release(&matrix_a);\n c_dbcsr_release(&matrix_b);\n c_dbcsr_release(&matrix_c);\n\n c_dbcsr_distribution_release(&dist1);\n c_dbcsr_distribution_release(&dist2);\n c_dbcsr_distribution_release(&dist3);\n\n if (mpi_rank == 0) std::cout << \"Extracting block diagonal...\" << std::endl;\n\n std::vector blk_sizes = {3, 3, 3};\n\n auto rowdist = random_dist(blk_sizes.size(), dims[0]);\n auto coldist = random_dist(blk_sizes.size(), dims[1]);\n\n void* dist4 = nullptr;\n\n c_dbcsr_distribution_new(&dist4, group, rowdist.data(), rowdist.size(), coldist.data(), coldist.size());\n\n void* matrix_d = nullptr;\n\n c_dbcsr_create_new(&matrix_d, \"matrix d\", dist4, dbcsr_type_no_symmetry, blk_sizes.data(), blk_sizes.size(), blk_sizes.data(),\n blk_sizes.size(), nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);\n\n c_dbcsr_init_random(matrix_d, nullptr);\n\n c_dbcsr_print(matrix_d);\n\n std::vector alpha(9);\n for (size_t i = 0; i != alpha.size(); ++i) {\n alpha[i] = (double)i;\n }\n c_dbcsr_scale_by_vector_d(matrix_d, alpha.data(), alpha.size(), \"right\");\n\n c_dbcsr_print(matrix_d);\n\n double* data = nullptr;\n double type = 1.0;\n long long int data_size = 0;\n c_dbcsr_get_data_d(matrix_d, &data, &data_size, &type, nullptr, nullptr);\n\n if (mpi_rank == 0) {\n std::cout << \"Data on rank 0:\" << std::endl;\n for (int i = 0; i != data_size; ++i) std::cout << data[i] << \" \";\n std::cout << std::endl;\n }\n\n void* diag = nullptr;\n c_dbcsr_get_block_diag(matrix_d, &diag);\n\n c_dbcsr_print(diag);\n\n c_dbcsr_release(&matrix_d);\n c_dbcsr_release(&diag);\n c_dbcsr_distribution_release(&dist4);\n\n c_dbcsr_print_statistics(nullptr, nullptr);\n\n MPI_Comm_free(&group);\n\n c_dbcsr_finalize_lib();\n\n MPI_Finalize();\n\n return 0;\n}\n" }, { "path": "tests/dbcsr_test_add.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_test_add\n !! Tests for DBCSR add\n USE dbcsr_data_methods, ONLY: dbcsr_data_get_sizes, &\n dbcsr_data_init, &\n dbcsr_data_new, &\n dbcsr_data_release, &\n dbcsr_type_1d_to_2d\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_new, &\n dbcsr_distribution_release\n USE dbcsr_io, ONLY: dbcsr_print\n USE dbcsr_kinds, ONLY: dp, &\n real_4, &\n real_8\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_sizes, dbcsr_get_data_type, dbcsr_get_matrix_type, dbcsr_name, &\n dbcsr_nblkcols_total, dbcsr_nblkrows_total, dbcsr_nfullcols_total, dbcsr_nfullrows_total, &\n dbcsr_release, dbcsr_row_block_sizes\n USE dbcsr_mpiwrap, ONLY: mp_bcast, &\n mp_environ, mp_comm_type\n USE dbcsr_operations, ONLY: dbcsr_add, &\n dbcsr_get_occupation\n USE dbcsr_test_methods, ONLY: compx_to_dbcsr_scalar, &\n dbcsr_impose_sparsity, &\n dbcsr_make_random_block_sizes, &\n dbcsr_make_random_matrix, &\n dbcsr_random_dist, &\n dbcsr_to_dense_local\n USE dbcsr_transformations, ONLY: dbcsr_redistribute, &\n dbcsr_replicate_all\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_mp_obj, dbcsr_scalar_type, dbcsr_type, &\n dbcsr_type_antihermitian, dbcsr_type_antisymmetric, dbcsr_type_complex_4, &\n dbcsr_type_complex_4_2d, dbcsr_type_complex_8, dbcsr_type_complex_8_2d, &\n dbcsr_type_hermitian, dbcsr_type_no_symmetry, dbcsr_type_real_4, dbcsr_type_real_4_2d, &\n dbcsr_type_real_8, dbcsr_type_real_8_2d, dbcsr_type_symmetric\n USE dbcsr_work_operations, ONLY: dbcsr_create\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_max_threads, omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: dbcsr_test_adds\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_test_add'\n\nCONTAINS\n\n SUBROUTINE dbcsr_test_adds(test_name, mp_group, mp_env, npdims, io_unit, &\n matrix_sizes, bs_m, bs_n, sparsities, &\n alpha, beta, limits, retain_sparsity)\n !! Performs a variety of matrix add\n\n CHARACTER(len=*), INTENT(IN) :: test_name\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n !! MPI communicator\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(2), INTENT(in) :: npdims\n INTEGER, INTENT(IN) :: io_unit\n !! which unit to write to, if not negative\n INTEGER, DIMENSION(:), INTENT(in) :: matrix_sizes, bs_m, bs_n\n !! size of matrices to test\n !! block sizes of the 3 dimensions\n !! block sizes of the 3 dimensions\n REAL(real_8), DIMENSION(2), INTENT(in) :: sparsities\n !! sparsities of matrices to create\n COMPLEX(real_8) :: alpha, beta\n INTEGER, DIMENSION(4), INTENT(in) :: limits\n LOGICAL, INTENT(in) :: retain_sparsity\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_test_adds'\n CHARACTER, DIMENSION(2, 5), PARAMETER :: symmetries = &\n RESHAPE((/dbcsr_type_no_symmetry, dbcsr_type_no_symmetry, &\n dbcsr_type_symmetric, dbcsr_type_symmetric, &\n dbcsr_type_antisymmetric, dbcsr_type_antisymmetric, &\n dbcsr_type_hermitian, dbcsr_type_hermitian, &\n dbcsr_type_antihermitian, dbcsr_type_antihermitian/), (/2, 5/))\n INTEGER, DIMENSION(4), PARAMETER :: types = (/dbcsr_type_real_4, dbcsr_type_real_8, &\n dbcsr_type_complex_4, dbcsr_type_complex_8/)\n\n CHARACTER :: a_symm, b_symm\n INTEGER :: a_c, a_r, b_c, b_r, handle, isymm, &\n itype, mynode, numnodes, numthreads, &\n TYPE\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: my_sizes_m, my_sizes_n, sizes_m, sizes_n\n LOGICAL :: do_complex\n TYPE(dbcsr_data_obj) :: data_a, data_a_dbcsr, data_b\n TYPE(dbcsr_scalar_type) :: alpha_obj, beta_obj\n TYPE(dbcsr_type) :: matrix_a, matrix_b\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n NULLIFY (my_sizes_m, my_sizes_n, sizes_m, sizes_n)\n\n !\n ! print\n CALL mp_environ(numnodes, mynode, mp_group)\n IF (io_unit .GT. 0) THEN\n WRITE (io_unit, *) 'test_name ', test_name\n numthreads = 1\n!$OMP PARALLEL\n!$OMP MASTER\n!$ numthreads = omp_get_num_threads()\n!$OMP END MASTER\n!$OMP END PARALLEL\n WRITE (io_unit, *) 'numthreads', numthreads\n WRITE (io_unit, *) 'numnodes', numnodes\n WRITE (io_unit, *) 'matrix_sizes', matrix_sizes\n WRITE (io_unit, *) 'sparsities', sparsities\n WRITE (io_unit, *) 'alpha', alpha\n WRITE (io_unit, *) 'beta', beta\n WRITE (io_unit, *) 'limits', limits\n WRITE (io_unit, *) 'retain_sparsity', retain_sparsity\n WRITE (io_unit, *) 'bs_m', bs_m\n WRITE (io_unit, *) 'bs_n', bs_n\n END IF\n !\n !\n ! loop over symmetry\n DO isymm = 1, SIZE(symmetries, 2)\n a_symm = symmetries(1, isymm)\n b_symm = symmetries(2, isymm)\n\n IF (a_symm .NE. dbcsr_type_no_symmetry .AND. matrix_sizes(1) .NE. matrix_sizes(2)) CYCLE\n IF (b_symm .NE. dbcsr_type_no_symmetry .AND. matrix_sizes(1) .NE. matrix_sizes(2)) CYCLE\n\n !\n ! loop over types\n DO itype = 1, SIZE(types)\n TYPE = types(itype)\n\n do_complex = TYPE .EQ. dbcsr_type_complex_4 .OR. TYPE .EQ. dbcsr_type_complex_8\n\n alpha_obj = compx_to_dbcsr_scalar(alpha, TYPE)\n beta_obj = compx_to_dbcsr_scalar(beta, TYPE)\n IF (do_complex .AND. (a_symm .EQ. dbcsr_type_hermitian .OR. a_symm .EQ. dbcsr_type_antihermitian)) &\n alpha_obj = compx_to_dbcsr_scalar(CMPLX(REAL(alpha, kind=dp), 0.0, dp), TYPE)\n IF (do_complex .AND. (b_symm .EQ. dbcsr_type_hermitian .OR. b_symm .EQ. dbcsr_type_antihermitian)) &\n beta_obj = compx_to_dbcsr_scalar(CMPLX(REAL(beta, kind=dp), 0.0, dp), TYPE)\n\n !\n ! Create the row/column block sizes.\n CALL dbcsr_make_random_block_sizes(sizes_m, matrix_sizes(1), bs_m)\n CALL dbcsr_make_random_block_sizes(sizes_n, matrix_sizes(2), bs_n)\n\n !\n ! If A/B has symmetry we need the same row/col blocking\n my_sizes_m => sizes_m\n my_sizes_n => sizes_n\n IF (a_symm .NE. dbcsr_type_no_symmetry) THEN\n my_sizes_n => sizes_m\n END IF\n IF (b_symm .NE. dbcsr_type_no_symmetry) THEN\n my_sizes_n => sizes_m\n END IF\n\n IF (.FALSE.) THEN\n WRITE (*, *) 'sizes_m', my_sizes_m\n WRITE (*, *) 'sum(sizes_m)', SUM(my_sizes_m), ' matrix_sizes(1)', matrix_sizes(1)\n WRITE (*, *) 'sizes_n', my_sizes_n\n WRITE (*, *) 'sum(sizes_n)', SUM(my_sizes_n), ' matrix_sizes(2)', matrix_sizes(2)\n END IF\n\n !\n ! Create the undistributed matrices.\n CALL dbcsr_make_random_matrix(matrix_a, my_sizes_m, my_sizes_n, \"Matrix A\", &\n sparsities(1), &\n mp_group, data_type=TYPE, symmetry=a_symm)\n\n CALL dbcsr_make_random_matrix(matrix_b, my_sizes_m, my_sizes_n, \"Matrix B\", &\n sparsities(2), &\n mp_group, data_type=TYPE, symmetry=b_symm)\n\n DEALLOCATE (sizes_m, sizes_n)\n\n !\n ! convert the dbcsr matrices to denses\n a_r = dbcsr_nfullrows_total(matrix_a); a_c = dbcsr_nfullcols_total(matrix_a)\n b_r = dbcsr_nfullrows_total(matrix_b); b_c = dbcsr_nfullcols_total(matrix_b)\n CALL dbcsr_data_init(data_a)\n CALL dbcsr_data_init(data_b)\n CALL dbcsr_data_init(data_a_dbcsr)\n CALL dbcsr_data_new(data_a, dbcsr_type_1d_to_2d(TYPE), data_size=a_r, data_size2=a_c)\n CALL dbcsr_data_new(data_b, dbcsr_type_1d_to_2d(TYPE), data_size=b_r, data_size2=b_c)\n CALL dbcsr_data_new(data_a_dbcsr, dbcsr_type_1d_to_2d(TYPE), data_size=a_r, data_size2=a_c)\n CALL dbcsr_to_dense_local(matrix_a, data_a)\n CALL dbcsr_to_dense_local(matrix_b, data_b)\n\n IF (.FALSE.) THEN\n CALL dbcsr_print(matrix_a, matlab_format=.TRUE., variable_name='a0')\n CALL dbcsr_print(matrix_b, matlab_format=.TRUE., variable_name='b0')\n END IF\n\n !\n ! Prepare test parameters\n CALL test_add(test_name, mp_group, mp_env, npdims, io_unit, &\n matrix_a, matrix_b, &\n data_a, data_b, data_a_dbcsr, &\n alpha_obj, beta_obj, &\n limits, retain_sparsity)\n !\n ! cleanup\n CALL dbcsr_release(matrix_a)\n CALL dbcsr_release(matrix_b)\n CALL dbcsr_data_release(data_a)\n CALL dbcsr_data_release(data_b)\n CALL dbcsr_data_release(data_a_dbcsr)\n\n END DO ! itype\n\n END DO !isymm\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_test_adds\n\n SUBROUTINE test_add(test_name, mp_group, mp_env, npdims, io_unit, &\n matrix_a, matrix_b, &\n data_a, data_b, data_a_dbcsr, &\n alpha, beta, limits, retain_sparsity)\n !! Performs a variety of matrix add\n\n CHARACTER(len=*), INTENT(IN) :: test_name\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n !! MPI communicator\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(2), INTENT(in) :: npdims\n INTEGER, INTENT(IN) :: io_unit\n !! which unit to write to, if not negative\n TYPE(dbcsr_type), INTENT(in) :: matrix_a, matrix_b\n !! matrices to add\n !! matrices to add\n TYPE(dbcsr_data_obj) :: data_a, data_b, data_a_dbcsr\n TYPE(dbcsr_scalar_type), INTENT(in) :: alpha, beta\n INTEGER, DIMENSION(4), INTENT(in) :: limits\n LOGICAL, INTENT(in) :: retain_sparsity\n\n CHARACTER(len=*), PARAMETER :: routineN = 'test_add'\n\n INTEGER :: c, handle, r\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist_a, col_dist_b, row_dist_a, &\n row_dist_b\n LOGICAL :: success\n REAL(real_8) :: occ_a_in, occ_a_out, occ_b\n TYPE(dbcsr_distribution_obj) :: dist_a, dist_b\n TYPE(dbcsr_type) :: m_a, m_b\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n\n ! Row & column distributions\n CALL dbcsr_random_dist(row_dist_a, dbcsr_nblkrows_total(matrix_a), npdims(1))\n CALL dbcsr_random_dist(col_dist_a, dbcsr_nblkcols_total(matrix_a), npdims(2))\n CALL dbcsr_random_dist(row_dist_b, dbcsr_nblkrows_total(matrix_b), npdims(1))\n CALL dbcsr_random_dist(col_dist_b, dbcsr_nblkcols_total(matrix_b), npdims(2))\n\n CALL dbcsr_distribution_new(dist_a, mp_env, row_dist_a, col_dist_a, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_b, mp_env, row_dist_b, col_dist_b, reuse_arrays=.TRUE.)\n\n ! Redistribute the matrices\n ! A\n CALL dbcsr_create(m_a, \"Test for \"//TRIM(dbcsr_name(matrix_a)), &\n dist_a, dbcsr_get_matrix_type(matrix_a), &\n row_blk_size_obj=matrix_a%row_blk_size, &\n col_blk_size_obj=matrix_a%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_a))\n CALL dbcsr_distribution_release(dist_a)\n CALL dbcsr_redistribute(matrix_a, m_a)\n ! B\n CALL dbcsr_create(m_b, \"Test for \"//TRIM(dbcsr_name(matrix_b)), &\n dist_b, dbcsr_get_matrix_type(matrix_b), &\n row_blk_size_obj=matrix_b%row_blk_size, &\n col_blk_size_obj=matrix_b%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_b))\n CALL dbcsr_distribution_release(dist_b)\n CALL dbcsr_redistribute(matrix_b, m_b)\n\n IF (.FALSE.) THEN\n CALL dbcsr_print(m_a, matlab_format=.FALSE., variable_name='a_in_')\n CALL dbcsr_print(m_b, matlab_format=.FALSE., variable_name='b_')\n END IF\n\n occ_a_in = dbcsr_get_occupation(m_a)\n occ_b = dbcsr_get_occupation(m_b)\n\n !\n ! Perform add\n IF (ALL(limits == 0)) THEN\n DBCSR_ABORT(\"limits shouldnt be 0\")\n ELSE\n CALL dbcsr_add(m_a, m_b, alpha, beta)\n END IF\n\n occ_a_out = dbcsr_get_occupation(m_a)\n\n IF (.FALSE.) THEN\n PRINT *, 'retain_sparsity', retain_sparsity, occ_a_in, occ_b, occ_a_out\n CALL dbcsr_print(m_a, matlab_format=.TRUE., variable_name='a_out_')\n END IF\n\n CALL dbcsr_replicate_all(m_a)\n CALL dbcsr_to_dense_local(m_a, data_a_dbcsr)\n CALL dbcsr_check_add(test_name, m_a, data_a_dbcsr, data_a, data_b, &\n alpha, beta, limits, retain_sparsity, io_unit, mp_group, &\n success)\n\n r = dbcsr_nfullrows_total(m_a)\n c = dbcsr_nfullcols_total(m_a)\n\n IF (io_unit .GT. 0) THEN\n IF (success) THEN\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n WRITE (io_unit, *) \" -- TESTING dbcsr_add (\", &\n dbcsr_get_data_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_b), &\n \") ............................. PASSED !\"\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n ELSE\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n WRITE (io_unit, *) \" -- TESTING dbcsr_add (\", &\n dbcsr_get_data_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_b), &\n \") ................. FAILED !\"\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n DBCSR_ABORT('Test failed')\n END IF\n END IF\n\n CALL dbcsr_release(m_a)\n CALL dbcsr_release(m_b)\n\n CALL timestop(handle)\n\n END SUBROUTINE test_add\n\n SUBROUTINE dbcsr_check_add(test_name, matrix_a, dense_a_dbcsr, dense_a, dense_b, &\n alpha, beta, limits, retain_sparsity, io_unit, mp_group, &\n success)\n !! Performs a check of matrix adds\n\n CHARACTER(len=*), INTENT(IN) :: test_name\n TYPE(dbcsr_type), INTENT(IN) :: matrix_a\n TYPE(dbcsr_data_obj), INTENT(inout) :: dense_a_dbcsr, dense_a, dense_b\n !! input dense matrices\n !! input dense matrices\n TYPE(dbcsr_scalar_type), INTENT(in) :: alpha, beta\n !! coefficients for the add\n !! coefficients for the add\n INTEGER, DIMENSION(4), INTENT(in) :: limits\n !! limits for the add\n LOGICAL, INTENT(in) :: retain_sparsity\n INTEGER, INTENT(IN) :: io_unit\n !! io unit for printing\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n LOGICAL, INTENT(out) :: success\n !! if passed the check success=T\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_check_add'\n INTEGER :: col, col_size, handle, i, istat, j, ld, &\n lwork, m, mynode, n, numnodes, row, &\n row_size\n CHARACTER, PARAMETER :: norm = 'I'\n\n LOGICAL :: valid\n REAL(real_4), ALLOCATABLE, DIMENSION(:) :: work_sp\n#if defined (__ACCELERATE)\n REAL(real_8), EXTERNAL :: clange, slamch, slange\n#else\n REAL(real_4), EXTERNAL :: clange, slamch, slange\n#endif\n REAL(real_8) :: a_norm_dbcsr, a_norm_in, a_norm_out, &\n b_norm, eps, residual\n REAL(real_8), ALLOCATABLE, DIMENSION(:) :: work\n REAL(real_8), EXTERNAL :: dlamch, dlange, zlange\n\n CALL timeset(routineN, handle)\n\n CALL mp_environ(numnodes, mynode, mp_group)\n\n CALL dbcsr_data_get_sizes(dense_a, row_size, col_size, valid)\n IF (.NOT. valid) &\n DBCSR_ABORT(\"dense matrix not valid\")\n !\n !\n m = limits(2) - limits(1) + 1\n n = limits(4) - limits(3) + 1\n row = limits(1); col = limits(3)\n\n !\n ! set the size of the work array\n lwork = row_size\n ld = row_size\n !\n !\n SELECT CASE (dense_a%d%data_type)\n CASE (dbcsr_type_real_8_2d)\n ALLOCATE (work(lwork), STAT=istat)\n IF (istat /= 0) &\n DBCSR_ABORT(\"allocation problem\")\n eps = dlamch('eps')\n a_norm_in = dlange(norm, row_size, col_size, dense_a%d%r2_dp(1, 1), ld, work)\n b_norm = dlange(norm, row_size, col_size, dense_b%d%r2_dp(1, 1), ld, work)\n a_norm_dbcsr = dlange(norm, row_size, col_size, dense_a_dbcsr%d%r2_dp(1, 1), ld, work)\n !\n dense_a%d%r2_dp(row:row + m - 1, col:col + n - 1) = alpha%r_dp*dense_a%d%r2_dp(row:row + m - 1, col:col + n - 1) + &\n beta%r_dp*dense_b%d%r2_dp(row:row + m - 1, col:col + n - 1)\n !\n ! impose the sparsity if needed\n IF (retain_sparsity) CALL dbcsr_impose_sparsity(matrix_a, dense_a)\n !\n a_norm_out = dlange(norm, row_size, col_size, dense_a%d%r2_dp(1, 1), ld, work)\n !\n ! take the difference dense/sparse\n dense_a%d%r2_dp = dense_a%d%r2_dp - dense_a_dbcsr%d%r2_dp\n !\n ! compute the residual\n residual = dlange(norm, row_size, col_size, dense_a%d%r2_dp(1, 1), ld, work)\n DEALLOCATE (work)\n CASE (dbcsr_type_real_4_2d)\n ALLOCATE (work_sp(lwork), STAT=istat)\n IF (istat /= 0) &\n DBCSR_ABORT(\"allocation problem\")\n eps = slamch('eps')\n a_norm_in = slange(norm, row_size, col_size, dense_a%d%r2_sp(1, 1), ld, work_sp)\n b_norm = slange(norm, row_size, col_size, dense_b%d%r2_sp(1, 1), ld, work_sp)\n a_norm_dbcsr = slange(norm, row_size, col_size, dense_a_dbcsr%d%r2_sp(1, 1), ld, work_sp)\n !\n dense_a%d%r2_sp(row:row + m - 1, col:col + n - 1) = alpha%r_sp*dense_a%d%r2_sp(row:row + m - 1, col:col + n - 1) + &\n beta%r_sp*dense_b%d%r2_sp(row:row + m - 1, col:col + n - 1)\n !\n ! impose the sparsity if needed\n IF (retain_sparsity) CALL dbcsr_impose_sparsity(matrix_a, dense_a)\n !\n a_norm_out = slange(norm, row_size, col_size, dense_a%d%r2_sp(1, 1), ld, work_sp)\n !\n ! take the difference dense/sparse\n dense_a%d%r2_sp = dense_a%d%r2_sp - dense_a_dbcsr%d%r2_sp\n !\n ! compute the residual\n residual = REAL(slange(norm, row_size, col_size, dense_a%d%r2_sp(1, 1), ld, work_sp), real_8)\n DEALLOCATE (work_sp)\n CASE (dbcsr_type_complex_8_2d)\n ALLOCATE (work(lwork), STAT=istat)\n IF (istat /= 0) &\n DBCSR_ABORT(\"allocation problem\")\n eps = dlamch('eps')\n a_norm_in = zlange(norm, row_size, col_size, dense_a%d%c2_dp(1, 1), ld, work)\n b_norm = zlange(norm, row_size, col_size, dense_b%d%c2_dp(1, 1), ld, work)\n a_norm_dbcsr = zlange(norm, row_size, col_size, dense_a_dbcsr%d%c2_dp(1, 1), ld, work)\n !\n dense_a%d%c2_dp(row:row + m - 1, col:col + n - 1) = alpha%c_dp*dense_a%d%c2_dp(row:row + m - 1, col:col + n - 1) + &\n beta%c_dp*dense_b%d%c2_dp(row:row + m - 1, col:col + n - 1)\n !\n ! impose the sparsity if needed\n IF (retain_sparsity) CALL dbcsr_impose_sparsity(matrix_a, dense_a)\n !\n a_norm_out = zlange(norm, row_size, col_size, dense_a%d%c2_dp(1, 1), ld, work)\n !\n ! take the difference dense/sparse\n dense_a%d%c2_dp = dense_a%d%c2_dp - dense_a_dbcsr%d%c2_dp\n !\n ! compute the residual\n residual = zlange(norm, row_size, col_size, dense_a%d%c2_dp(1, 1), ld, work)\n DEALLOCATE (work)\n CASE (dbcsr_type_complex_4_2d)\n ALLOCATE (work_sp(lwork), STAT=istat)\n IF (istat /= 0) &\n DBCSR_ABORT(\"allocation problem\")\n eps = REAL(slamch('eps'), real_8)\n a_norm_in = clange(norm, row_size, col_size, dense_a%d%c2_sp(1, 1), ld, work_sp)\n b_norm = clange(norm, row_size, col_size, dense_b%d%c2_sp(1, 1), ld, work_sp)\n a_norm_dbcsr = clange(norm, row_size, col_size, dense_a_dbcsr%d%c2_sp(1, 1), ld, work_sp)\n !\n IF (.FALSE.) THEN\n !IF(io_unit .GT. 0) THEN\n DO j = 1, SIZE(dense_a%d%c2_sp, 2)\n DO i = 1, SIZE(dense_a%d%c2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A,E15.7,A)') 'a_in(', i, ',', j, ')=', REAL(dense_a%d%c2_sp(i, j)), '+', &\n AIMAG(dense_a%d%c2_sp(i, j)), 'i;'\n END DO\n END DO\n DO j = 1, SIZE(dense_b%d%c2_sp, 2)\n DO i = 1, SIZE(dense_b%d%c2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A,E15.7,A)') 'b(', i, ',', j, ')=', REAL(dense_b%d%c2_sp(i, j)), '+', &\n AIMAG(dense_b%d%c2_sp(i, j)), 'i;'\n END DO\n END DO\n END IF\n\n dense_a%d%c2_sp(row:row + m - 1, col:col + n - 1) = alpha%c_sp*dense_a%d%c2_sp(row:row + m - 1, col:col + n - 1) + &\n beta%c_sp*dense_b%d%c2_sp(row:row + m - 1, col:col + n - 1)\n !\n ! impose the sparsity if needed\n IF (retain_sparsity) CALL dbcsr_impose_sparsity(matrix_a, dense_a)\n !\n\n IF (.FALSE.) THEN\n !IF(io_unit .GT. 0) THEN\n DO j = 1, SIZE(dense_a%d%c2_sp, 2)\n DO i = 1, SIZE(dense_a%d%c2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A,E15.7,A)') 'a_out(', i, ',', j, ')=', REAL(dense_a%d%c2_sp(i, j)), '+', &\n AIMAG(dense_a%d%c2_sp(i, j)), 'i;'\n END DO\n END DO\n DO j = 1, SIZE(dense_a_dbcsr%d%c2_sp, 2)\n DO i = 1, SIZE(dense_a_dbcsr%d%c2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A,E15.7,A)') 'a_dbcsr(', i, ',', j, ')=', REAL(dense_a_dbcsr%d%c2_sp(i, j)), '+', &\n AIMAG(dense_a_dbcsr%d%c2_sp(i, j)), 'i;'\n END DO\n END DO\n END IF\n\n a_norm_out = clange(norm, row_size, col_size, dense_a%d%c2_sp(1, 1), ld, work_sp)\n !\n ! take the difference dense/sparse\n dense_a%d%c2_sp = dense_a%d%c2_sp - dense_a_dbcsr%d%c2_sp\n !\n ! compute the residual\n residual = REAL(clange(norm, row_size, col_size, dense_a%d%c2_sp(1, 1), ld, work_sp), real_8)\n DEALLOCATE (work_sp)\n CASE default\n DBCSR_ABORT(\"Incorrect or 1-D data type\")\n END SELECT\n\n IF (mynode .EQ. 0) THEN\n IF (residual/((a_norm_in + b_norm)*REAL(row_size, real_8)*eps) .GT. 10.0_real_8) THEN\n success = .FALSE.\n ELSE\n success = .TRUE.\n END IF\n END IF\n !\n ! synchronize the result...\n CALL mp_bcast(success, 0, mp_group)\n !\n ! printing\n IF (io_unit .GT. 0) THEN\n WRITE (io_unit, *) 'test_name ', test_name\n WRITE (io_unit, '(2(A,E12.5))') ' residual ', residual, ', b_norm ', b_norm\n WRITE (io_unit, '(3(A,E12.5))') ' a_norm_in ', a_norm_in, ', a_norm_out ', a_norm_out, &\n ', a_norm_dbcsr ', a_norm_dbcsr\n WRITE (io_unit, '(A)') ' Checking the norm of the difference against reference ADD '\n WRITE (io_unit, '(A,E12.5)') ' -- ||A_dbcsr-A_dense||_oo/((||A||_oo+||B||_oo).N.eps)=', &\n residual/((a_norm_in + b_norm)*n*eps)\n !\n ! check for nan or inf here\n IF (success) THEN\n WRITE (io_unit, '(A)') ' The solution is CORRECT !'\n ELSE\n WRITE (io_unit, '(A)') ' The solution is suspicious !'\n END IF\n\n END IF\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_check_add\n\nEND MODULE dbcsr_test_add\n" }, { "path": "tests/dbcsr_test_csr_conversions.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_test_csr_conversions\n !! Testing DBCSR to CSR conversion with random matrices\n USE dbcsr_kinds, ONLY: dp, real_8\n USE dbcsr_api, ONLY: &\n dbcsr_convert_csr_to_dbcsr, dbcsr_convert_dbcsr_to_csr, &\n dbcsr_csr_create_from_dbcsr, dbcsr_csr_destroy, &\n dbcsr_csr_eqrow_ceil_dist, dbcsr_csr_type, dbcsr_add, dbcsr_copy, dbcsr_create, &\n dbcsr_distribution_get, dbcsr_distribution_new, dbcsr_distribution_release, &\n dbcsr_distribution_type, dbcsr_finalize, dbcsr_finalize_lib, dbcsr_get_stored_coordinates, &\n dbcsr_init_lib, dbcsr_nblkcols_total, dbcsr_nblkrows_total, dbcsr_norm, &\n dbcsr_norm_maxabsnorm, dbcsr_put_block, dbcsr_release, dbcsr_to_csr_filter, dbcsr_type, &\n dbcsr_type_no_symmetry, dbcsr_type_real_8, dbcsr_print_statistics\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mpiwrap, ONLY: mp_bcast, &\n mp_cart_create, &\n mp_comm_free, &\n mp_environ, &\n mp_world_finalize, &\n mp_world_init, mp_comm_type\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n TYPE(dbcsr_type) :: matrix_a\n TYPE(dbcsr_csr_type) :: matrix_b\n\n INTEGER, DIMENSION(:), POINTER :: col_blk_sizes, row_blk_sizes\n INTEGER :: nblkrows_total, nblkcols_total\n\n INTEGER, DIMENSION(:), POINTER :: col_dist, row_dist\n\n INTEGER :: numnodes, mynode, io_unit\n\n INTEGER, DIMENSION(2) :: npdims, myploc\n\n INTEGER :: max_blks_total, max_blk_size, k, seedsz\n INTEGER, ALLOCATABLE, DIMENSION(:) ::seed\n\n REAL :: rn\n REAL, ALLOCATABLE, DIMENSION(:) :: rn_array\n\n REAL(KIND=real_8) :: norm, norm_eps, sparsity, eps\n\n CHARACTER(LEN=10) :: k_str, mynode_str\n\n TYPE(mp_comm_type) :: mp_comm, group\n\n ! Set up everything as in the dbcsr example codes\n CALL mp_world_init(mp_comm)\n\n CALL mp_environ(numnodes, mynode, mp_comm)\n\n io_unit = 0\n IF (mynode .EQ. 0) io_unit = default_output_unit\n\n CALL dbcsr_init_lib(mp_comm%get_handle(), io_unit)\n\n npdims(:) = 0\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, group)\n CALL mp_environ(numnodes, mynode, group)\n\n ! Set seed for random number generator\n CALL RANDOM_SEED(size=seedsz)\n ALLOCATE (seed(seedsz))\n seed = 434358235\n\n ! Maximum number of blocks and maximum block sizes (in 1 dimension)\n max_blks_total = 50\n max_blk_size = 10\n\n eps = 0.1_dp ! Filter threshold\n\n DO k = 1, 100 ! test 100 matrices\n\n CALL RANDOM_SEED(get=seed)\n CALL mp_bcast(seed, 0, mp_comm)\n CALL RANDOM_SEED(put=seed)\n\n CALL RANDOM_NUMBER(rn)\n nblkrows_total = FLOOR(rn*(max_blks_total)) + 1\n\n CALL RANDOM_NUMBER(rn)\n nblkcols_total = FLOOR(rn*(max_blks_total)) + 1\n\n ALLOCATE (rn_array(MAX(nblkcols_total, nblkrows_total)))\n ALLOCATE (col_blk_sizes(nblkcols_total))\n ALLOCATE (row_blk_sizes(nblkrows_total))\n ALLOCATE (row_dist(nblkrows_total))\n ALLOCATE (col_dist(nblkcols_total))\n\n CALL RANDOM_NUMBER(rn_array)\n col_blk_sizes = FLOOR(rn_array(1:nblkcols_total)*(max_blk_size)) + 1\n\n CALL RANDOM_NUMBER(rn_array)\n row_blk_sizes = FLOOR(rn_array(1:nblkrows_total)*(max_blk_size)) + 1\n\n CALL RANDOM_NUMBER(rn)\n sparsity = rn\n\n CALL RANDOM_NUMBER(rn_array)\n row_dist = FLOOR(rn_array(1:nblkrows_total)*npdims(1))\n CALL RANDOM_NUMBER(rn_array)\n col_dist = FLOOR(rn_array(1:nblkcols_total)*npdims(2))\n\n CALL make_random_dbcsr_matrix(matrix_a, group, col_blk_sizes, row_blk_sizes, col_dist, row_dist, sparsity)\n\n WRITE (UNIT=k_str, FMT='(I0)') k\n WRITE (UNIT=mynode_str, FMT='(I0)') mynode\n\n CALL csr_conversion_test(matrix_a, matrix_b, norm, 0.0_dp)\n CALL dbcsr_csr_destroy(matrix_b)\n CALL csr_conversion_test(matrix_a, matrix_b, norm_eps, eps)\n CALL dbcsr_csr_destroy(matrix_b)\n\n IF ((norm > EPSILON(norm)) .OR. (norm_eps > eps)) THEN\n IF (io_unit > 0) WRITE (io_unit, *) \"Conversion error > 0 for matrix no.\", k_str\n DBCSR_ABORT(\"Error in csr conversion\")\n ELSE\n IF (io_unit > 0) WRITE (io_unit, *) \"Conversion OK!\"\n END IF\n\n CALL dbcsr_release(matrix_a)\n DEALLOCATE (rn_array)\n\n END DO\n\n DEALLOCATE (seed)\n\n CALL mp_comm_free(group)\n call dbcsr_print_statistics(.true.)\n CALL dbcsr_finalize_lib()\n CALL mp_world_finalize()\n\nCONTAINS\n\n SUBROUTINE csr_conversion_test(dbcsr_mat, csr_mat, norm, eps)\n !! Test the conversion by converting to CSR format and converting back,\n !! where the CSR sparsity is defined by some filtering threshold eps.\n !! The maximum norm of the differences between the original and the\n !! back-converted matrix is calculated.\n\n TYPE(dbcsr_type), INTENT(IN) :: dbcsr_mat\n TYPE(dbcsr_csr_type), INTENT(OUT) :: csr_mat\n REAL(KIND=real_8), INTENT(OUT) :: norm\n REAL(KIND=real_8), INTENT(IN) :: eps\n\n TYPE(dbcsr_type) :: csr_sparsity, dbcsr_mat_conv\n\n CALL dbcsr_to_csr_filter(dbcsr_mat, csr_sparsity, eps)\n\n CALL dbcsr_csr_create_from_dbcsr(dbcsr_mat, csr_mat, dbcsr_csr_eqrow_ceil_dist, csr_sparsity)\n CALL dbcsr_convert_dbcsr_to_csr(dbcsr_mat, csr_mat)\n\n CALL dbcsr_copy(dbcsr_mat_conv, dbcsr_mat)\n\n CALL dbcsr_convert_csr_to_dbcsr(dbcsr_mat_conv, csr_mat)\n\n CALL dbcsr_add(dbcsr_mat_conv, dbcsr_mat, 1.0_dp, -1.0_dp)\n CALL dbcsr_norm(dbcsr_mat_conv, dbcsr_norm_maxabsnorm, norm_scalar=norm)\n\n CALL dbcsr_release(dbcsr_mat_conv)\n CALL dbcsr_release(csr_sparsity)\n END SUBROUTINE csr_conversion_test\n\n SUBROUTINE make_random_dbcsr_matrix(matrix_a, group, &\n !! Create a DBCSR matrix with random values and random blocks\n col_blk_sizes, row_blk_sizes, col_dist, row_dist, sparsity)\n TYPE(dbcsr_type), INTENT(OUT) :: matrix_a\n TYPE(mp_comm_type), INTENT(IN) :: group\n INTEGER, DIMENSION(:), POINTER :: col_blk_sizes, row_blk_sizes, col_dist, &\n row_dist\n REAL(real_8), INTENT(IN) :: sparsity\n\n INTEGER :: col, col_s, max_col_size, max_nze, &\n max_row_size, node_holds_blk, nze, &\n row, row_s\n LOGICAL :: tr\n REAL(real_8) :: rn\n REAL(real_8), ALLOCATABLE, DIMENSION(:) :: values\n TYPE(dbcsr_distribution_type) :: dist\n\n CALL dbcsr_distribution_new(dist, group=group%get_handle(), row_dist=row_dist, col_dist=col_dist, reuse_arrays=.TRUE.)\n\n CALL dbcsr_create(matrix=matrix_a, &\n name=\"this is my matrix a\", &\n dist=dist, &\n matrix_type=dbcsr_type_no_symmetry, &\n row_blk_size=row_blk_sizes, &\n col_blk_size=col_blk_sizes, &\n data_type=dbcsr_type_real_8)\n\n CALL dbcsr_distribution_get(dist, mynode=mynode)\n\n ! get the maximum block size of the matrix\n max_row_size = MAXVAL(row_blk_sizes)\n max_col_size = MAXVAL(col_blk_sizes)\n max_nze = max_row_size*max_col_size\n\n ALLOCATE (values(max_nze))\n\n DO row = 1, dbcsr_nblkrows_total(matrix_a)\n DO col = 1, dbcsr_nblkcols_total(matrix_a)\n CALL RANDOM_NUMBER(rn)\n IF (rn .GT. sparsity) THEN\n tr = .FALSE.\n row_s = row; col_s = col\n CALL dbcsr_get_stored_coordinates(matrix_a, row_s, col_s, node_holds_blk)\n IF (node_holds_blk .EQ. mynode) THEN\n nze = row_blk_sizes(row_s)*col_blk_sizes(col_s)\n CALL RANDOM_NUMBER(values(1:nze))\n CALL dbcsr_put_block(matrix_a, row_s, col_s, values(1:nze))\n END IF\n END IF\n END DO\n END DO\n DEALLOCATE (values)\n\n CALL dbcsr_finalize(matrix_a)\n CALL dbcsr_distribution_release(dist)\n DEALLOCATE (row_blk_sizes, col_blk_sizes)\n\n END SUBROUTINE make_random_dbcsr_matrix\n\nEND PROGRAM dbcsr_test_csr_conversions\n" }, { "path": "tests/dbcsr_test_multiply.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_test_multiply\n !! Tests for DBCSR multiply\n USE dbcsr_data_methods, ONLY: dbcsr_data_get_sizes, &\n dbcsr_data_init, &\n dbcsr_data_new, &\n dbcsr_data_release, &\n dbcsr_scalar_negative, &\n dbcsr_scalar_one, &\n dbcsr_type_1d_to_2d\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_new, &\n dbcsr_distribution_release\n USE dbcsr_io, ONLY: dbcsr_print\n USE dbcsr_kinds, ONLY: real_4, &\n real_8\n USE dbcsr_methods, ONLY: &\n dbcsr_col_block_offsets, dbcsr_col_block_sizes, dbcsr_get_data_type, &\n dbcsr_get_matrix_type, dbcsr_name, dbcsr_nblkcols_total, dbcsr_nblkrows_total, &\n dbcsr_nfullcols_total, dbcsr_nfullrows_total, dbcsr_release, dbcsr_row_block_offsets, &\n dbcsr_row_block_sizes\n USE dbcsr_mpiwrap, ONLY: mp_bcast, &\n mp_environ, mp_comm_type\n USE dbcsr_multiply_api, ONLY: dbcsr_multiply\n USE dbcsr_operations, ONLY: dbcsr_copy, &\n dbcsr_get_occupation, &\n dbcsr_scale\n USE dbcsr_test_methods, ONLY: compx_to_dbcsr_scalar, &\n dbcsr_impose_sparsity, &\n dbcsr_make_random_block_sizes, &\n dbcsr_make_random_matrix, &\n dbcsr_random_dist, &\n dbcsr_to_dense_local\n USE dbcsr_transformations, ONLY: dbcsr_redistribute, &\n dbcsr_replicate_all\n USE dbcsr_types, ONLY: &\n dbcsr_conjugate_transpose, dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_mp_obj, &\n dbcsr_no_transpose, dbcsr_scalar_type, dbcsr_transpose, dbcsr_type, &\n dbcsr_type_antisymmetric, dbcsr_type_complex_4, dbcsr_type_complex_4_2d, &\n dbcsr_type_complex_8, dbcsr_type_complex_8_2d, dbcsr_type_no_symmetry, dbcsr_type_real_4, &\n dbcsr_type_real_4_2d, dbcsr_type_real_8, dbcsr_type_real_8_2d, dbcsr_type_symmetric\n USE dbcsr_work_operations, ONLY: dbcsr_create\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_max_threads, omp_get_thread_num, omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: dbcsr_test_multiplies\n\n CHARACTER(len=*), PARAMETER, PRIVATE :: moduleN = 'dbcsr_test_multiply'\n\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n\nCONTAINS\n\n SUBROUTINE dbcsr_test_multiplies(test_name, mp_group, mp_env, npdims, io_unit, &\n matrix_sizes, bs_m, bs_n, bs_k, sparsities, &\n alpha, beta, limits, retain_sparsity)\n !! Performs a variety of matrix multiplies of same matrices on different\n !! processor grids\n\n CHARACTER(len=*), INTENT(IN) :: test_name\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n !! MPI communicator\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(2), INTENT(in) :: npdims\n INTEGER, INTENT(IN) :: io_unit\n !! which unit to write to, if not negative\n INTEGER, DIMENSION(:), INTENT(in) :: matrix_sizes, bs_m, bs_n, bs_k\n !! size of matrices to test\n !! block sizes of the 3 dimension\n !! block sizes of the 3 dimension\n !! block sizes of the 3 dimension\n REAL(real_8), DIMENSION(3), INTENT(in) :: sparsities\n !! sparsities of matrices to create\n COMPLEX(real_8), INTENT(in) :: alpha, beta\n !! alpha value to use in multiply\n !! beta value to use in multiply\n INTEGER, DIMENSION(6), INTENT(in) :: limits\n LOGICAL, INTENT(in) :: retain_sparsity\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_test_multiplies'\n CHARACTER, DIMENSION(3), PARAMETER :: &\n trans = (/dbcsr_no_transpose, dbcsr_transpose, dbcsr_conjugate_transpose/)\n CHARACTER, DIMENSION(3, 12), PARAMETER :: symmetries = &\n RESHAPE((/dbcsr_type_no_symmetry, dbcsr_type_no_symmetry, &\n dbcsr_type_no_symmetry, dbcsr_type_symmetric, &\n dbcsr_type_no_symmetry, dbcsr_type_no_symmetry, &\n dbcsr_type_antisymmetric, dbcsr_type_no_symmetry, &\n dbcsr_type_no_symmetry, dbcsr_type_no_symmetry, &\n dbcsr_type_symmetric, dbcsr_type_no_symmetry, &\n dbcsr_type_symmetric, dbcsr_type_symmetric, &\n dbcsr_type_no_symmetry, dbcsr_type_antisymmetric, &\n dbcsr_type_symmetric, dbcsr_type_no_symmetry, &\n dbcsr_type_no_symmetry, dbcsr_type_antisymmetric, &\n dbcsr_type_no_symmetry, dbcsr_type_symmetric, &\n dbcsr_type_antisymmetric, dbcsr_type_no_symmetry, &\n dbcsr_type_antisymmetric, dbcsr_type_antisymmetric, &\n dbcsr_type_no_symmetry, dbcsr_type_no_symmetry, &\n dbcsr_type_no_symmetry, dbcsr_type_symmetric, &\n dbcsr_type_symmetric, dbcsr_type_symmetric, &\n dbcsr_type_symmetric, dbcsr_type_antisymmetric, &\n dbcsr_type_antisymmetric, dbcsr_type_symmetric/), (/3, 12/))\n INTEGER, DIMENSION(4), PARAMETER :: types = (/dbcsr_type_real_4, dbcsr_type_real_8, &\n dbcsr_type_complex_4, dbcsr_type_complex_8/)\n\n CHARACTER :: a_symm, b_symm, c_symm, transa, transb\n INTEGER :: a_c, a_r, a_tr, b_c, b_r, b_tr, c_c, &\n c_r, handle, isymm, itype, mynode, &\n numnodes, numthreads, TYPE\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: my_sizes_k, my_sizes_m, my_sizes_n, &\n sizes_k, sizes_m, sizes_n\n LOGICAL :: do_complex\n TYPE(dbcsr_data_obj) :: data_a, data_b, data_c, data_c_dbcsr\n TYPE(dbcsr_scalar_type) :: alpha_obj, beta_obj\n TYPE(dbcsr_type) :: matrix_a, matrix_b, matrix_c\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n NULLIFY (my_sizes_k, my_sizes_m, my_sizes_n, &\n sizes_k, sizes_m, sizes_n)\n !\n ! print\n CALL mp_environ(numnodes, mynode, mp_group)\n IF (io_unit .GT. 0) THEN\n WRITE (io_unit, *) 'test_name ', test_name\n numthreads = 1\n!$OMP PARALLEL\n!$OMP MASTER\n!$ numthreads = omp_get_num_threads()\n!$OMP END MASTER\n!$OMP END PARALLEL\n WRITE (io_unit, *) 'numthreads', numthreads\n WRITE (io_unit, *) 'numnodes', numnodes\n WRITE (io_unit, *) 'matrix_sizes', matrix_sizes\n WRITE (io_unit, *) 'sparsities', sparsities\n WRITE (io_unit, *) 'alpha', alpha\n WRITE (io_unit, *) 'beta', beta\n WRITE (io_unit, *) 'limits', limits\n WRITE (io_unit, *) 'retain_sparsity', retain_sparsity\n WRITE (io_unit, *) 'bs_m', bs_m\n WRITE (io_unit, *) 'bs_n', bs_n\n WRITE (io_unit, *) 'bs_k', bs_k\n END IF\n !\n !\n ! loop over symmetry\n DO isymm = 1, SIZE(symmetries, 2)\n a_symm = symmetries(1, isymm)\n b_symm = symmetries(2, isymm)\n c_symm = symmetries(3, isymm)\n\n IF (a_symm .NE. dbcsr_type_no_symmetry .AND. matrix_sizes(1) .NE. matrix_sizes(3)) CYCLE\n IF (b_symm .NE. dbcsr_type_no_symmetry .AND. matrix_sizes(2) .NE. matrix_sizes(3)) CYCLE\n IF (c_symm .NE. dbcsr_type_no_symmetry .AND. matrix_sizes(1) .NE. matrix_sizes(2)) CYCLE\n\n !\n ! loop over types\n DO itype = 1, SIZE(types)\n TYPE = types(itype)\n\n do_complex = TYPE .EQ. dbcsr_type_complex_4 .OR. TYPE .EQ. dbcsr_type_complex_8\n\n alpha_obj = compx_to_dbcsr_scalar(alpha, TYPE)\n beta_obj = compx_to_dbcsr_scalar(beta, TYPE)\n\n IF (do_complex .AND. c_symm == dbcsr_type_symmetric) CYCLE\n\n !\n ! loop over transpositions\n DO a_tr = 1, SIZE(trans)\n DO b_tr = 1, SIZE(trans)\n transa = trans(a_tr)\n transb = trans(b_tr)\n\n !\n ! if C has a symmetry, we need special transpositions\n IF (c_symm .NE. dbcsr_type_no_symmetry) THEN\n IF (.NOT. (transa .EQ. dbcsr_no_transpose .AND. transb .EQ. dbcsr_transpose .OR. &\n transa .EQ. dbcsr_transpose .AND. transb .EQ. dbcsr_no_transpose .OR. &\n transa .EQ. dbcsr_no_transpose .AND. transb .EQ. dbcsr_conjugate_transpose .AND. &\n .NOT. do_complex .OR. &\n transa .EQ. dbcsr_conjugate_transpose .AND. transb .EQ. dbcsr_no_transpose .AND. &\n .NOT. do_complex)) CYCLE\n END IF\n !\n ! if C has symmetry and special limits\n IF (c_symm .NE. dbcsr_type_no_symmetry) THEN\n IF (limits(1) .NE. 1 .OR. limits(2) .NE. matrix_sizes(1) .OR. &\n limits(3) .NE. 1 .OR. limits(4) .NE. matrix_sizes(2)) CYCLE\n END IF\n\n !\n ! Create the row/column block sizes.\n CALL dbcsr_make_random_block_sizes(sizes_m, matrix_sizes(1), bs_m)\n CALL dbcsr_make_random_block_sizes(sizes_n, matrix_sizes(2), bs_n)\n CALL dbcsr_make_random_block_sizes(sizes_k, matrix_sizes(3), bs_k)\n\n !\n ! if we have symmetry the row and column block sizes have to match\n IF (c_symm .NE. dbcsr_type_no_symmetry .AND. a_symm .NE. dbcsr_type_no_symmetry .AND. &\n b_symm .NE. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m\n my_sizes_n => sizes_m\n my_sizes_k => sizes_m\n ELSE IF ((c_symm .EQ. dbcsr_type_no_symmetry .AND. a_symm .NE. dbcsr_type_no_symmetry .AND. &\n b_symm .NE. dbcsr_type_no_symmetry) .OR. &\n (c_symm .NE. dbcsr_type_no_symmetry .AND. a_symm .EQ. dbcsr_type_no_symmetry .AND. &\n b_symm .NE. dbcsr_type_no_symmetry) .OR. &\n (c_symm .NE. dbcsr_type_no_symmetry .AND. a_symm .NE. dbcsr_type_no_symmetry .AND. &\n b_symm .EQ. dbcsr_type_no_symmetry)) THEN\n my_sizes_m => sizes_m\n my_sizes_n => sizes_m\n my_sizes_k => sizes_m\n ELSE IF (c_symm .EQ. dbcsr_type_no_symmetry .AND. a_symm .EQ. dbcsr_type_no_symmetry .AND. &\n b_symm .NE. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m\n my_sizes_n => sizes_n\n my_sizes_k => sizes_n\n ELSE IF (c_symm .EQ. dbcsr_type_no_symmetry .AND. a_symm .NE. dbcsr_type_no_symmetry .AND. &\n b_symm .EQ. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m\n my_sizes_n => sizes_n\n my_sizes_k => sizes_m\n ELSE IF (c_symm .NE. dbcsr_type_no_symmetry .AND. a_symm .EQ. dbcsr_type_no_symmetry .AND. &\n b_symm .EQ. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m\n my_sizes_n => sizes_m\n my_sizes_k => sizes_k\n ELSE IF (c_symm .EQ. dbcsr_type_no_symmetry .AND. a_symm .EQ. dbcsr_type_no_symmetry .AND. &\n b_symm .EQ. dbcsr_type_no_symmetry) THEN\n my_sizes_m => sizes_m\n my_sizes_n => sizes_n\n my_sizes_k => sizes_k\n ELSE\n CALL dbcsr_abort(__LOCATION__, &\n \"something wrong here... \")\n END IF\n\n IF (.FALSE.) THEN\n WRITE (*, *) 'sizes_m', my_sizes_m\n WRITE (*, *) 'sum(sizes_m)', SUM(my_sizes_m), ' matrix_sizes(1)', matrix_sizes(1)\n WRITE (*, *) 'sizes_n', my_sizes_n\n WRITE (*, *) 'sum(sizes_n)', SUM(my_sizes_n), ' matrix_sizes(2)', matrix_sizes(2)\n WRITE (*, *) 'sizes_k', my_sizes_k\n WRITE (*, *) 'sum(sizes_k)', SUM(my_sizes_k), ' matrix_sizes(3)', matrix_sizes(3)\n END IF\n\n !\n ! Create the undistributed matrices.\n CALL dbcsr_make_random_matrix(matrix_c, my_sizes_m, my_sizes_n, \"Matrix C\", &\n sparsities(3), &\n mp_group, data_type=TYPE, symmetry=c_symm)\n\n IF (transa .NE. dbcsr_no_transpose) THEN\n CALL dbcsr_make_random_matrix(matrix_a, my_sizes_k, my_sizes_m, \"Matrix A\", &\n sparsities(1), &\n mp_group, data_type=TYPE, symmetry=a_symm)\n ELSE\n CALL dbcsr_make_random_matrix(matrix_a, my_sizes_m, my_sizes_k, \"Matrix A\", &\n sparsities(1), &\n mp_group, data_type=TYPE, symmetry=a_symm)\n END IF\n IF (transb .NE. dbcsr_no_transpose) THEN\n CALL dbcsr_make_random_matrix(matrix_b, my_sizes_n, my_sizes_k, \"Matrix B\", &\n sparsities(2), &\n mp_group, data_type=TYPE, symmetry=b_symm)\n ELSE\n CALL dbcsr_make_random_matrix(matrix_b, my_sizes_k, my_sizes_n, \"Matrix B\", &\n sparsities(2), &\n mp_group, data_type=TYPE, symmetry=b_symm)\n END IF\n\n DEALLOCATE (sizes_m, sizes_n, sizes_k)\n\n !\n ! if C has a symmetry, we build it accordingly, i.e. C=A*A and C=A*(-A)\n IF (c_symm .NE. dbcsr_type_no_symmetry) THEN\n CALL dbcsr_copy(matrix_b, matrix_a)\n !print*, a_symm,b_symm,dbcsr_get_matrix_type(matrix_a),dbcsr_get_matrix_type(matrix_b)\n IF (c_symm .EQ. dbcsr_type_antisymmetric) THEN\n CALL dbcsr_scale(matrix_b, &\n alpha_scalar=dbcsr_scalar_negative( &\n dbcsr_scalar_one(TYPE)))\n END IF\n END IF\n\n !\n ! convert the dbcsr matrices to denses\n a_r = dbcsr_nfullrows_total(matrix_a)\n a_c = dbcsr_nfullcols_total(matrix_a)\n b_r = dbcsr_nfullrows_total(matrix_b)\n b_c = dbcsr_nfullcols_total(matrix_b)\n c_r = dbcsr_nfullrows_total(matrix_c)\n c_c = dbcsr_nfullcols_total(matrix_c)\n CALL dbcsr_data_init(data_a)\n CALL dbcsr_data_init(data_b)\n CALL dbcsr_data_init(data_c)\n CALL dbcsr_data_init(data_c_dbcsr)\n CALL dbcsr_data_new(data_a, dbcsr_type_1d_to_2d(TYPE), data_size=a_r, data_size2=a_c)\n CALL dbcsr_data_new(data_b, dbcsr_type_1d_to_2d(TYPE), data_size=b_r, data_size2=b_c)\n CALL dbcsr_data_new(data_c, dbcsr_type_1d_to_2d(TYPE), data_size=c_r, data_size2=c_c)\n CALL dbcsr_data_new(data_c_dbcsr, dbcsr_type_1d_to_2d(TYPE), data_size=c_r, data_size2=c_c)\n CALL dbcsr_to_dense_local(matrix_a, data_a)\n CALL dbcsr_to_dense_local(matrix_b, data_b)\n CALL dbcsr_to_dense_local(matrix_c, data_c)\n\n !\n ! Prepare test parameters\n CALL test_multiply(test_name, mp_group, mp_env, npdims, io_unit, &\n matrix_a, matrix_b, matrix_c, &\n data_a, data_b, data_c, data_c_dbcsr, &\n transa, transb, &\n alpha_obj, beta_obj, &\n limits, retain_sparsity)\n !\n ! cleanup\n CALL dbcsr_release(matrix_a)\n CALL dbcsr_release(matrix_b)\n CALL dbcsr_release(matrix_c)\n CALL dbcsr_data_release(data_a)\n CALL dbcsr_data_release(data_b)\n CALL dbcsr_data_release(data_c)\n CALL dbcsr_data_release(data_c_dbcsr)\n\n END DO\n END DO\n\n END DO ! itype\n\n END DO !isymm\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_test_multiplies\n\n SUBROUTINE test_multiply(test_name, mp_group, mp_env, npdims, io_unit, &\n matrix_a, matrix_b, matrix_c, &\n data_a, data_b, data_c, data_c_dbcsr, &\n transa, transb, alpha, beta, limits, retain_sparsity)\n !! Performs a variety of matrix multiplies of same matrices on different\n !! processor grids\n\n CHARACTER(len=*), INTENT(IN) :: test_name\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n !! MPI communicator\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(2), INTENT(in) :: npdims\n INTEGER, INTENT(IN) :: io_unit\n !! which unit to write to, if not negative\n TYPE(dbcsr_type), INTENT(in) :: matrix_a, matrix_b, matrix_c\n !! matrices to multiply\n !! matrices to multiply\n !! matrices to multiply\n TYPE(dbcsr_data_obj) :: data_a, data_b, data_c, data_c_dbcsr\n CHARACTER, INTENT(in) :: transa, transb\n TYPE(dbcsr_scalar_type), INTENT(in) :: alpha, beta\n INTEGER, DIMENSION(6), INTENT(in) :: limits\n LOGICAL, INTENT(in) :: retain_sparsity\n\n CHARACTER(len=*), PARAMETER :: routineN = 'test_multiply'\n\n INTEGER :: c_a, c_b, c_c, handle, r_a, r_b, r_c\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: blk_offsets, col_dist_a, col_dist_b, &\n col_dist_c, row_dist_a, row_dist_b, &\n row_dist_c\n LOGICAL :: success\n REAL(real_8) :: occ_a, occ_b, occ_c_in, occ_c_out\n TYPE(dbcsr_distribution_obj) :: dist_a, dist_b, dist_c\n TYPE(dbcsr_type) :: m_a, m_b, m_c\n\n! ---------------------------------------------------------------------------\n\n CALL timeset(routineN, handle)\n NULLIFY (row_dist_a, col_dist_a, &\n row_dist_b, col_dist_b, &\n row_dist_c, col_dist_c)\n\n IF (debug_mod .AND. io_unit .GT. 0) THEN\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n WRITE (io_unit, *) \" -- TESTING dbcsr_multiply (\", transa, \", \", transb, &\n \", \", dbcsr_get_data_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_b), &\n \", \", dbcsr_get_matrix_type(m_c), &\n \") ............... !\"\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n END IF\n\n ! Row & column distributions\n CALL dbcsr_random_dist(row_dist_a, dbcsr_nblkrows_total(matrix_a), npdims(1))\n CALL dbcsr_random_dist(col_dist_a, dbcsr_nblkcols_total(matrix_a), npdims(2))\n CALL dbcsr_random_dist(row_dist_b, dbcsr_nblkrows_total(matrix_b), npdims(1))\n CALL dbcsr_random_dist(col_dist_b, dbcsr_nblkcols_total(matrix_b), npdims(2))\n CALL dbcsr_random_dist(row_dist_c, dbcsr_nblkrows_total(matrix_c), npdims(1))\n CALL dbcsr_random_dist(col_dist_c, dbcsr_nblkcols_total(matrix_c), npdims(2))\n CALL dbcsr_distribution_new(dist_a, mp_env, row_dist_a, col_dist_a, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_b, mp_env, row_dist_b, col_dist_b, reuse_arrays=.TRUE.)\n CALL dbcsr_distribution_new(dist_c, mp_env, row_dist_c, col_dist_c, reuse_arrays=.TRUE.)\n ! Redistribute the matrices\n ! A\n CALL dbcsr_create(m_a, \"Test for \"//TRIM(dbcsr_name(matrix_a)), &\n dist_a, dbcsr_get_matrix_type(matrix_a), &\n row_blk_size_obj=matrix_a%row_blk_size, &\n col_blk_size_obj=matrix_a%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_a))\n CALL dbcsr_distribution_release(dist_a)\n CALL dbcsr_redistribute(matrix_a, m_a)\n ! B\n CALL dbcsr_create(m_b, \"Test for \"//TRIM(dbcsr_name(matrix_b)), &\n dist_b, dbcsr_get_matrix_type(matrix_b), &\n row_blk_size_obj=matrix_b%row_blk_size, &\n col_blk_size_obj=matrix_b%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_b))\n CALL dbcsr_distribution_release(dist_b)\n CALL dbcsr_redistribute(matrix_b, m_b)\n ! C\n CALL dbcsr_create(m_c, \"Test for \"//TRIM(dbcsr_name(matrix_c)), &\n dist_c, dbcsr_get_matrix_type(matrix_c), &\n row_blk_size_obj=matrix_c%row_blk_size, &\n col_blk_size_obj=matrix_c%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix_c))\n CALL dbcsr_distribution_release(dist_c)\n CALL dbcsr_redistribute(matrix_c, m_c)\n\n IF (.FALSE.) THEN\n blk_offsets => dbcsr_row_block_offsets(matrix_c)\n WRITE (*, *) 'row_block_offsets(matrix_c)', blk_offsets\n blk_offsets => dbcsr_col_block_offsets(matrix_c)\n WRITE (*, *) 'col_block_offsets(matrix_c)', blk_offsets\n END IF\n\n IF (.FALSE.) THEN\n CALL dbcsr_print(m_c, matlab_format=.FALSE., variable_name='c_in_')\n CALL dbcsr_print(m_a, matlab_format=.FALSE., variable_name='a_')\n CALL dbcsr_print(m_b, matlab_format=.FALSE., variable_name='b_')\n CALL dbcsr_print(m_c, matlab_format=.FALSE., variable_name='c_out_')\n END IF\n\n occ_a = dbcsr_get_occupation(m_a)\n occ_b = dbcsr_get_occupation(m_b)\n occ_c_in = dbcsr_get_occupation(m_c)\n\n !\n ! Perform multiply\n IF (ALL(limits == 0)) THEN\n DBCSR_ABORT(\"limits shouldnt be 0\")\n ELSE\n CALL dbcsr_multiply(transa, transb, alpha, &\n m_a, m_b, beta, m_c, &\n first_row=limits(1), &\n last_row=limits(2), &\n first_column=limits(3), &\n last_column=limits(4), &\n first_k=limits(5), &\n last_k=limits(6), &\n retain_sparsity=retain_sparsity)\n END IF\n\n occ_c_out = dbcsr_get_occupation(m_c)\n\n IF (.FALSE.) THEN\n PRINT *, 'retain_sparsity', retain_sparsity, occ_a, occ_b, occ_c_in, occ_c_out\n CALL dbcsr_print(m_a, matlab_format=.TRUE., variable_name='a_')\n CALL dbcsr_print(m_b, matlab_format=.TRUE., variable_name='b_')\n CALL dbcsr_print(m_c, matlab_format=.FALSE., variable_name='c_out_')\n END IF\n\n CALL dbcsr_replicate_all(m_c)\n CALL dbcsr_to_dense_local(m_c, data_c_dbcsr)\n CALL dbcsr_check_multiply(test_name, m_c, data_c_dbcsr, data_a, data_b, data_c, &\n transa, transb, alpha, beta, limits, retain_sparsity, io_unit, mp_group, &\n success)\n\n r_a = dbcsr_nfullrows_total(m_a)\n c_a = dbcsr_nfullcols_total(m_a)\n r_b = dbcsr_nfullrows_total(m_b)\n c_b = dbcsr_nfullcols_total(m_b)\n r_c = dbcsr_nfullrows_total(m_c)\n c_c = dbcsr_nfullcols_total(m_c)\n IF (io_unit .GT. 0) THEN\n IF (success) THEN\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n WRITE (io_unit, *) \" -- TESTING dbcsr_multiply (\", transa, \", \", transb, &\n \", \", dbcsr_get_data_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_b), &\n \", \", dbcsr_get_matrix_type(m_c), &\n \") ............... PASSED !\"\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n ELSE\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n WRITE (io_unit, *) \" -- TESTING dbcsr_multiply (\", transa, \", \", transb, &\n \", \", dbcsr_get_data_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_a), &\n \", \", dbcsr_get_matrix_type(m_b), &\n \", \", dbcsr_get_matrix_type(m_c), &\n \") ... FAILED !\"\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n DBCSR_ABORT('Test failed')\n END IF\n END IF\n\n CALL dbcsr_release(m_a)\n CALL dbcsr_release(m_b)\n CALL dbcsr_release(m_c)\n\n CALL timestop(handle)\n\n END SUBROUTINE test_multiply\n\n SUBROUTINE dbcsr_check_multiply(test_name, matrix_c, dense_c_dbcsr, dense_a, dense_b, dense_c, &\n transa, transb, alpha, beta, limits, retain_sparsity, io_unit, mp_group, &\n success)\n !! Performs a check of matrix multiplies\n\n CHARACTER(len=*), INTENT(IN) :: test_name\n TYPE(dbcsr_type), INTENT(IN) :: matrix_c\n TYPE(dbcsr_data_obj), INTENT(inout) :: dense_c_dbcsr, dense_a, dense_b, dense_c\n !! dense result of the dbcsr_multiply\n !! input dense matrices\n !! input dense matrices\n !! input dense matrices\n CHARACTER, INTENT(in) :: transa, transb\n !! transposition status\n !! transposition status\n TYPE(dbcsr_scalar_type), INTENT(in) :: alpha, beta\n !! coefficients for the gemm\n !! coefficients for the gemm\n INTEGER, DIMENSION(6), INTENT(in) :: limits\n !! limits for the gemm\n LOGICAL, INTENT(in) :: retain_sparsity\n INTEGER, INTENT(IN) :: io_unit\n !! io unit for printing\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n LOGICAL, INTENT(out) :: success\n !! if passed the check success=T\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_check_multiply'\n INTEGER :: a_col, a_m, a_n, a_row, b_col, b_m, b_n, b_row, c_col, c_col_size, c_row, &\n c_row_size, handle, i, istat, j, k, lda, ldb, ldc, lwork, m, mynode, n, numnodes\n CHARACTER, PARAMETER :: norm = 'I'\n\n LOGICAL :: valid\n REAL(real_4), ALLOCATABLE, DIMENSION(:) :: work_sp\n#if defined (__ACCELERATE)\n REAL(real_8), EXTERNAL :: clange, slamch, slange\n#else\n REAL(real_4), EXTERNAL :: clange, slamch, slange\n#endif\n REAL(real_8) :: a_norm, b_norm, c_norm_dbcsr, c_norm_in, &\n c_norm_out, eps, eps_norm, residual\n REAL(real_8), ALLOCATABLE, DIMENSION(:) :: work\n REAL(real_8), EXTERNAL :: dlamch, dlange, zlange\n\n CALL timeset(routineN, handle)\n\n CALL mp_environ(numnodes, mynode, mp_group)\n\n CALL dbcsr_data_get_sizes(dense_c, c_row_size, c_col_size, valid)\n IF (.NOT. valid) &\n DBCSR_ABORT(\"dense matrix not valid\")\n CALL dbcsr_data_get_sizes(dense_c, ldc, i, valid)\n IF (.NOT. valid) &\n DBCSR_ABORT(\"dense matrix not valid\")\n CALL dbcsr_data_get_sizes(dense_a, lda, i, valid)\n IF (.NOT. valid) &\n DBCSR_ABORT(\"dense matrix not valid\")\n CALL dbcsr_data_get_sizes(dense_b, ldb, i, valid)\n IF (.NOT. valid) &\n DBCSR_ABORT(\"dense matrix not valid\")\n !\n !\n m = limits(2) - limits(1) + 1\n n = limits(4) - limits(3) + 1\n k = limits(6) - limits(5) + 1\n a_row = limits(1); a_col = limits(5)\n b_row = limits(5); b_col = limits(3)\n c_row = limits(1); c_col = limits(3)\n !\n !\n IF (transA == dbcsr_no_transpose) THEN\n a_m = m\n a_n = k\n ELSE\n a_m = k\n a_n = m\n i = a_row\n a_row = a_col\n a_col = i\n END IF\n IF (transB == dbcsr_no_transpose) THEN\n b_m = k\n b_n = n\n ELSE\n b_m = n\n b_n = k\n i = b_row\n b_row = b_col\n b_col = i\n END IF\n !\n ! set the size of the work array\n lwork = MAXVAL((/lda, ldb, ldc/))\n !\n !\n SELECT CASE (dense_a%d%data_type)\n CASE (dbcsr_type_real_8_2d)\n ALLOCATE (work(lwork), STAT=istat)\n IF (istat /= 0) &\n DBCSR_ABORT(\"allocation problem\")\n eps = dlamch('eps')\n a_norm = dlange(norm, a_m, a_n, dense_a%d%r2_dp(a_row, a_col), lda, work)\n b_norm = dlange(norm, b_m, b_n, dense_b%d%r2_dp(b_row, b_col), ldb, work)\n c_norm_in = dlange(norm, c_row_size, c_col_size, dense_c%d%r2_dp(1, 1), ldc, work)\n c_norm_dbcsr = dlange(norm, c_row_size, c_col_size, dense_c_dbcsr%d%r2_dp(1, 1), ldc, work)\n !\n CALL dgemm(transa, transb, m, n, k, alpha%r_dp, dense_a%d%r2_dp(a_row, a_col), lda, &\n dense_b%d%r2_dp(b_row, b_col), ldb, beta%r_dp, dense_c%d%r2_dp(c_row, c_col), ldc)\n !\n ! impose the sparsity if needed\n IF (retain_sparsity) CALL dbcsr_impose_sparsity(matrix_c, dense_c)\n !\n c_norm_out = dlange(norm, m, n, dense_c%d%r2_dp(c_row, c_col), ldc, work)\n !\n ! take the difference dense/sparse\n dense_c%d%r2_dp = dense_c%d%r2_dp - dense_c_dbcsr%d%r2_dp\n !\n ! compute the residual\n residual = dlange(norm, c_row_size, c_col_size, dense_c%d%r2_dp(1, 1), ldc, work)\n DEALLOCATE (work)\n CASE (dbcsr_type_real_4_2d)\n ALLOCATE (work_sp(lwork), STAT=istat)\n IF (istat /= 0) &\n DBCSR_ABORT(\"allocation problem\")\n eps = REAL(slamch('eps'), real_8)\n a_norm = slange(norm, a_m, a_n, dense_a%d%r2_sp(a_row, a_col), lda, work_sp)\n b_norm = slange(norm, b_m, b_n, dense_b%d%r2_sp(b_row, b_col), ldb, work_sp)\n c_norm_in = slange(norm, c_row_size, c_col_size, dense_c%d%r2_sp(1, 1), ldc, work_sp)\n c_norm_dbcsr = slange(norm, c_row_size, c_col_size, dense_c_dbcsr%d%r2_sp(1, 1), ldc, work_sp)\n !\n\n IF (.FALSE.) THEN\n !IF (io_unit .GT. 0) THEN\n DO j = 1, SIZE(dense_a%d%r2_sp, 2)\n DO i = 1, SIZE(dense_a%d%r2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A)') 'a(', i, ',', j, ')=', dense_a%d%r2_sp(i, j), ';'\n END DO\n END DO\n DO j = 1, SIZE(dense_b%d%r2_sp, 2)\n DO i = 1, SIZE(dense_b%d%r2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A)') 'b(', i, ',', j, ')=', dense_b%d%r2_sp(i, j), ';'\n END DO\n END DO\n DO j = 1, SIZE(dense_c%d%r2_sp, 2)\n DO i = 1, SIZE(dense_c%d%r2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A)') 'c_in(', i, ',', j, ')=', dense_c%d%r2_sp(i, j), ';'\n END DO\n END DO\n END IF\n\n CALL sgemm(transa, transb, m, n, k, alpha%r_sp, dense_a%d%r2_sp(a_row, a_col), lda, &\n dense_b%d%r2_sp(b_row, b_col), ldb, beta%r_sp, dense_c%d%r2_sp(c_row, c_col), ldc)\n !\n ! impose the sparsity if needed\n IF (retain_sparsity) CALL dbcsr_impose_sparsity(matrix_c, dense_c)\n\n IF (.FALSE.) THEN\n !IF (io_unit .GT. 0) THEN\n DO j = 1, SIZE(dense_c%d%r2_sp, 2)\n DO i = 1, SIZE(dense_c%d%r2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A)') 'c_out(', i, ',', j, ')=', dense_c%d%r2_sp(i, j), ';'\n END DO\n END DO\n DO j = 1, SIZE(dense_c_dbcsr%d%r2_sp, 2)\n DO i = 1, SIZE(dense_c_dbcsr%d%r2_sp, 1)\n WRITE (*, '(A,I3,A,I3,A,E15.7,A)') 'c_dbcsr(', i, ',', j, ')=', dense_c_dbcsr%d%r2_sp(i, j), ';'\n END DO\n END DO\n END IF\n !\n c_norm_out = slange(norm, m, n, dense_c%d%r2_sp(c_row, c_col), ldc, work_sp)\n !\n ! take the difference dense/sparse\n dense_c%d%r2_sp = dense_c%d%r2_sp - dense_c_dbcsr%d%r2_sp\n !\n ! compute the residual\n residual = REAL(slange(norm, c_row_size, c_col_size, dense_c%d%r2_sp(1, 1), ldc, work_sp), real_8)\n DEALLOCATE (work_sp)\n CASE (dbcsr_type_complex_8_2d)\n ALLOCATE (work(lwork), STAT=istat)\n IF (istat /= 0) &\n DBCSR_ABORT(\"allocation problem\")\n eps = dlamch('eps')\n a_norm = zlange(norm, a_m, a_n, dense_a%d%c2_dp(a_row, a_col), lda, work)\n b_norm = zlange(norm, b_m, b_n, dense_b%d%c2_dp(b_row, b_col), ldb, work)\n c_norm_in = zlange(norm, c_row_size, c_col_size, dense_c%d%c2_dp(1, 1), ldc, work)\n c_norm_dbcsr = zlange(norm, c_row_size, c_col_size, dense_c_dbcsr%d%c2_dp(1, 1), ldc, work)\n !\n CALL zgemm(transa, transb, m, n, k, alpha%c_dp, dense_a%d%c2_dp(a_row, a_col), lda, &\n dense_b%d%c2_dp(b_row, b_col), ldb, beta%c_dp, dense_c%d%c2_dp(c_row, c_col), ldc)\n !\n ! impose the sparsity if needed\n IF (retain_sparsity) CALL dbcsr_impose_sparsity(matrix_c, dense_c)\n !\n c_norm_out = zlange(norm, m, n, dense_c%d%c2_dp(c_row, c_col), ldc, work)\n !\n ! take the difference dense/sparse\n dense_c%d%c2_dp = dense_c%d%c2_dp - dense_c_dbcsr%d%c2_dp\n !\n ! compute the residual\n residual = zlange(norm, c_row_size, c_col_size, dense_c%d%c2_dp(1, 1), ldc, work)\n DEALLOCATE (work)\n CASE (dbcsr_type_complex_4_2d)\n ALLOCATE (work_sp(lwork), STAT=istat)\n IF (istat /= 0) &\n DBCSR_ABORT(\"allocation problem\")\n eps = REAL(slamch('eps'), real_8)\n a_norm = clange(norm, a_m, a_n, dense_a%d%c2_sp(a_row, a_col), lda, work_sp)\n b_norm = clange(norm, b_m, b_n, dense_b%d%c2_sp(b_row, b_col), ldb, work_sp)\n c_norm_in = clange(norm, c_row_size, c_col_size, dense_c%d%c2_sp(1, 1), ldc, work_sp)\n c_norm_dbcsr = clange(norm, c_row_size, c_col_size, dense_c_dbcsr%d%c2_sp(1, 1), ldc, work_sp)\n !\n CALL cgemm(transa, transb, m, n, k, alpha%c_sp, dense_a%d%c2_sp(a_row, a_col), lda, &\n dense_b%d%c2_sp(b_row, b_col), ldb, beta%c_sp, dense_c%d%c2_sp(c_row, c_col), ldc)\n !\n ! impose the sparsity if needed\n IF (retain_sparsity) CALL dbcsr_impose_sparsity(matrix_c, dense_c)\n !\n c_norm_out = clange(norm, m, n, dense_c%d%c2_sp(c_row, c_col), ldc, work_sp)\n !\n ! take the difference dense/sparse\n dense_c%d%c2_sp = dense_c%d%c2_sp - dense_c_dbcsr%d%c2_sp\n !\n ! compute the residual\n residual = clange(norm, c_row_size, c_col_size, dense_c%d%c2_sp(1, 1), ldc, work_sp)\n DEALLOCATE (work_sp)\n CASE default\n DBCSR_ABORT(\"Incorrect or 1-D data type\")\n END SELECT\n\n IF (mynode .EQ. 0) THEN\n eps_norm = residual/((a_norm + b_norm + c_norm_in)*REAL(n, real_8)*eps)\n IF (eps_norm .GT. 10.0_real_8) THEN\n success = .FALSE.\n ELSE\n success = .TRUE.\n END IF\n END IF\n !\n ! synchronize the result...\n CALL mp_bcast(success, 0, mp_group)\n CALL mp_bcast(eps_norm, 0, mp_group)\n !\n ! printing\n IF (io_unit .GT. 0) THEN\n WRITE (io_unit, *) 'test_name ', test_name\n !\n ! check for nan or inf here\n IF (success) THEN\n WRITE (io_unit, '(A)') ' The solution is CORRECT !'\n ELSE\n WRITE (io_unit, '(A)') ' The solution is suspicious !'\n\n WRITE (io_unit, '(3(A,E12.5))') ' residual ', residual, ', a_norm ', a_norm, ', b_norm ', b_norm\n WRITE (io_unit, '(3(A,E12.5))') ' c_norm_in ', c_norm_in, ', c_norm_out ', c_norm_out, &\n ', c_norm_dbcsr ', c_norm_dbcsr\n WRITE (io_unit, '(A)') ' Checking the norm of the difference against reference GEMM '\n WRITE (io_unit, '(A,E12.5)') ' -- ||C_dbcsr-C_dense||_oo/((||A||_oo+||B||_oo+||C||_oo).N.eps)=', &\n eps_norm\n END IF\n\n END IF\n\n CALL timestop(handle)\n\n END SUBROUTINE dbcsr_check_multiply\n\nEND MODULE dbcsr_test_multiply\n" }, { "path": "tests/dbcsr_test_scale_by_vector.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nMODULE dbcsr_test_scale_by_vector\n !! Tests for DBCSR scale_by_vector\n USE dbcsr_data_methods, ONLY: dbcsr_data_get_sizes, &\n dbcsr_data_init, &\n dbcsr_data_new, &\n dbcsr_data_release, &\n dbcsr_type_1d_to_2d\n USE dbcsr_dist_methods, ONLY: dbcsr_distribution_new, &\n dbcsr_distribution_release\n USE dbcsr_kinds, ONLY: real_8\n USE dbcsr_methods, ONLY: &\n dbcsr_get_data_type, &\n dbcsr_get_matrix_type, dbcsr_name, dbcsr_nblkcols_total, dbcsr_nblkrows_total, &\n dbcsr_nfullcols_total, dbcsr_nfullrows_total, dbcsr_release\n\n USE dbcsr_mpiwrap, ONLY: mp_environ, mp_comm_type\n USE dbcsr_test_methods, ONLY: dbcsr_make_random_block_sizes, &\n dbcsr_make_random_matrix, &\n dbcsr_random_dist, &\n dbcsr_to_dense_local\n USE dbcsr_transformations, ONLY: dbcsr_redistribute, &\n dbcsr_new_transposed\n USE dbcsr_types, ONLY: &\n dbcsr_data_obj, dbcsr_distribution_obj, dbcsr_mp_obj, dbcsr_type, &\n dbcsr_type_antisymmetric, dbcsr_type_no_symmetry, dbcsr_type_symmetric, &\n dbcsr_type_real_4, dbcsr_type_real_8, &\n dbcsr_type_complex_4, dbcsr_type_complex_8\n USE dbcsr_work_operations, ONLY: dbcsr_create\n USE dbcsr_operations, ONLY: dbcsr_scale_by_vector\n USE dbcsr_dist_util, ONLY: dbcsr_checksum\n#include \"base/dbcsr_base_uses.f90\"\n\n!$ USE OMP_LIB, ONLY: omp_get_num_threads\n\n IMPLICIT NONE\n\n PRIVATE\n\n PUBLIC :: dbcsr_test_scale_by_vectors\n\n LOGICAL, PARAMETER :: debug_mod = .FALSE.\n\nCONTAINS\n\n FUNCTION dbcsr_test_scale_by_vectors(test_name, mp_group, mp_env, npdims, io_unit, &\n matrix_size, bs_m, bs_n, sparsity, do_exact_comparison) RESULT(success)\n !! Performs a variety of matrix multiplies of same matrices on different\n !! processor grids\n\n CHARACTER(len=*), INTENT(IN) :: test_name\n TYPE(mp_comm_type), INTENT(IN) :: mp_group\n !! MPI communicator\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(2), INTENT(IN) :: npdims\n INTEGER, INTENT(IN) :: io_unit\n !! which unit to write to, if not negative\n INTEGER, DIMENSION(2), INTENT(IN) :: matrix_size\n !! size of matrix to test\n INTEGER, DIMENSION(:), INTENT(IN) :: bs_m, bs_n\n !! block sizes of the 2 dimension\n !! block sizes of the 2 dimension\n REAL(real_8), INTENT(IN) :: sparsity\n !! sparsity of the matrix to create\n LOGICAL, INTENT(IN) :: do_exact_comparison\n !! whether or not to do exact comparison for the matrix values\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_test_scale_by_vectors'\n\n CHARACTER, DIMENSION(3), PARAMETER :: symmetries = [dbcsr_type_no_symmetry, dbcsr_type_symmetric, dbcsr_type_antisymmetric]\n INTEGER, DIMENSION(4), PARAMETER :: types = [dbcsr_type_real_4, dbcsr_type_real_8, dbcsr_type_complex_4, dbcsr_type_complex_8]\n\n CHARACTER :: symm\n INTEGER :: handle, isymm, itype, mynode, &\n numnodes, numthreads, type, nrows\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: sizes_m, sizes_n, sizes_1\n LOGICAL :: success\n TYPE(dbcsr_data_obj) :: vector_data\n TYPE(dbcsr_type) :: matrix, vector\n\n CALL timeset(routineN, handle)\n NULLIFY (sizes_m, sizes_n, sizes_1)\n !\n ! print\n CALL mp_environ(numnodes, mynode, mp_group)\n IF (io_unit > 0) THEN\n WRITE (io_unit, *) 'test_name ', test_name\n numthreads = 1\n!$OMP PARALLEL\n!$OMP MASTER\n!$ numthreads = omp_get_num_threads()\n!$OMP END MASTER\n!$OMP END PARALLEL\n WRITE (io_unit, *) 'numthreads', numthreads\n WRITE (io_unit, *) 'numnodes', numnodes\n WRITE (io_unit, *) 'matrix_size', matrix_size\n WRITE (io_unit, *) 'sparsity', sparsity\n WRITE (io_unit, *) 'bs_m', bs_m\n WRITE (io_unit, *) 'bs_n', bs_n\n END IF\n\n success = .TRUE.\n !\n !\n ! loop over symmetry\n DO isymm = 1, SIZE(symmetries)\n symm = symmetries(isymm)\n\n IF (matrix_size(1) /= matrix_size(2) .AND. symm /= dbcsr_type_no_symmetry) &\n CYCLE\n\n !\n ! loop over types\n DO itype = 1, SIZE(types)\n type = types(itype)\n\n !\n ! Create the row/column block sizes.\n CALL dbcsr_make_random_block_sizes(sizes_m, matrix_size(1), bs_m)\n CALL dbcsr_make_random_block_sizes(sizes_n, matrix_size(2), bs_n)\n ALLOCATE (sizes_1(1))\n sizes_1 = 1\n\n !\n ! Create the undistributed matrices.\n CALL dbcsr_make_random_matrix(matrix, sizes_m, sizes_n, \"Matrix\", &\n sparsity, mp_group, data_type=type, symmetry=symm)\n\n !\n ! Use a very skinny matrix to generate our test data\n CALL dbcsr_make_random_matrix(vector, sizes_n, sizes_1, \"Vector\", 0.0_real_8, mp_group, data_type=type)\n\n DEALLOCATE (sizes_m, sizes_n, sizes_1)\n\n !\n ! Densify the the vector\n nrows = dbcsr_nfullrows_total(vector)\n CALL dbcsr_data_init(vector_data)\n CALL dbcsr_data_new(vector_data, type, data_size=nrows)\n CALL dbcsr_to_dense_local(vector, vector_data)\n\n IF (debug_mod .AND. io_unit > 0) THEN\n CALL write_1d_data_obj(io_unit, vector_data)\n CALL write_matrix_dense(io_unit, matrix)\n END IF\n\n !\n ! Prepare test parameters\n success = test_scale_by_vector(mp_env, npdims, matrix, vector_data, do_exact_comparison) .AND. success\n\n IF (io_unit > 0) THEN\n IF (success) THEN\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n WRITE (io_unit, *) \" -- TESTING dbcsr_scale_by_vector (\", &\n dbcsr_get_data_type(matrix), &\n dbcsr_get_matrix_type(matrix), &\n do_exact_comparison, &\n \") ............... PASSED !\"\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n ELSE\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n WRITE (io_unit, *) \" -- TESTING dbcsr_scale_by_vector (\", &\n dbcsr_get_data_type(matrix), &\n dbcsr_get_matrix_type(matrix), &\n do_exact_comparison, &\n \") ............... FAILED !\"\n WRITE (io_unit, *) REPEAT(\"*\", 70)\n END IF\n END IF\n\n !\n ! cleanup\n CALL dbcsr_release(matrix)\n CALL dbcsr_release(vector)\n CALL dbcsr_data_release(vector_data)\n\n END DO ! itype\n END DO !isymm\n\n CALL timestop(handle)\n END FUNCTION\n\n SUBROUTINE write_1d_data_obj(io_unit, vector)\n INTEGER, INTENT(IN) :: io_unit\n TYPE(dbcsr_data_obj), INTENT(IN) :: vector\n\n INTEGER :: i, sz\n LOGICAL :: valid\n\n CALL dbcsr_data_get_sizes(vector, sz, valid)\n\n IF (.NOT. valid) &\n RETURN\n\n SELECT CASE (vector%d%data_type)\n CASE (dbcsr_type_real_4)\n WRITE (io_unit, \"(A,I3)\") \"Vector dbcsr_type_real_4, size:\", sz\n DO i = 1, SIZE(vector%d%r_sp)\n WRITE (io_unit, '(T2,A,I3,A,E15.7,A)') 'vector(', i, ')=', vector%d%r_sp(i), ';'\n END DO\n CASE (dbcsr_type_real_8)\n WRITE (io_unit, \"(A,I3)\") \"Vector dbcsr_type_real_8, size:\", sz\n DO i = 1, SIZE(vector%d%r_dp)\n WRITE (io_unit, '(T2,A,I3,A,E15.7,A)') 'vector(', i, ')=', vector%d%r_dp(i), ';'\n END DO\n CASE (dbcsr_type_complex_4)\n WRITE (io_unit, \"(A,I3)\") \"Vector dbcsr_type_complex_4, size:\", sz\n DO i = 1, SIZE(vector%d%c_sp)\n WRITE (io_unit, '(T2,A,I3,A,E15.7,SP,E15.7,\"i\",A)') 'vector(', i, ')=', vector%d%c_sp(i), ';'\n END DO\n CASE (dbcsr_type_complex_8)\n WRITE (io_unit, \"(A,I3)\") \"Vector dbcsr_type_complex_8, size:\", sz\n DO i = 1, SIZE(vector%d%c_dp)\n WRITE (io_unit, '(T2,A,I3,A,E15.7,SP,E15.7,\"i\",A)') 'vector(', i, ')=', vector%d%c_dp(i), ';'\n END DO\n END SELECT\n END SUBROUTINE\n\n SUBROUTINE write_matrix_dense(io_unit, matrix)\n INTEGER, INTENT(IN) :: io_unit\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n\n TYPE(dbcsr_data_obj) :: mdata\n INTEGER :: i, j, sz(2)\n LOGICAL :: valid\n\n CALL dbcsr_data_init(mdata)\n CALL dbcsr_data_new(mdata, dbcsr_type_1d_to_2d(matrix%data_type), &\n data_size=dbcsr_nfullrows_total(matrix), data_size2=dbcsr_nfullcols_total(matrix))\n CALL dbcsr_to_dense_local(matrix, mdata)\n\n CALL dbcsr_data_get_sizes(mdata, sz, valid)\n\n IF (.NOT. valid) &\n CALL dbcsr_abort(__LOCATION__, &\n \"densification failed?!\")\n\n SELECT CASE (matrix%data_type)\n CASE (dbcsr_type_real_4)\n WRITE (io_unit, \"(A,I3,I3)\") \"Matrix dbcsr_type_real_4, size:\", sz\n DO j = 1, SIZE(mdata%d%r2_sp, 2)\n DO i = 1, SIZE(mdata%d%r2_sp, 1)\n WRITE (io_unit, '(T2,A,I3,A,I3,A,E15.7,A)') 'matrix(', i, ',', j, ')=', mdata%d%r2_sp(i, j), ';'\n END DO\n END DO\n CASE (dbcsr_type_real_8)\n WRITE (io_unit, \"(A,I3,I3)\") \"Matrix dbcsr_type_real_8, size:\", sz\n DO j = 1, SIZE(mdata%d%r2_dp, 2)\n DO i = 1, SIZE(mdata%d%r2_dp, 1)\n WRITE (io_unit, '(T2,A,I3,A,I3,A,E15.7,A)') 'matrix(', i, ',', j, ')=', mdata%d%r2_dp(i, j), ';'\n END DO\n END DO\n CASE (dbcsr_type_complex_4)\n WRITE (io_unit, \"(A,I3,I3)\") \"Matrix dbcsr_type_complex_4, size:\", sz\n DO j = 1, SIZE(mdata%d%c2_sp, 2)\n DO i = 1, SIZE(mdata%d%c2_sp, 1)\n WRITE (io_unit, '(T2,A,I3,A,I3,A,E15.7,SP,E15.7,\"i\",A)') 'matrix(', i, ',', j, ')=', mdata%d%c2_sp(i, j), ';'\n END DO\n END DO\n CASE (dbcsr_type_complex_8)\n WRITE (io_unit, \"(A,I3,I3)\") \"Matrix dbcsr_type_complex_8, size:\", sz\n DO j = 1, SIZE(mdata%d%c2_dp, 2)\n DO i = 1, SIZE(mdata%d%c2_dp, 1)\n WRITE (io_unit, '(T2,A,I3,A,I3,A,E15.7,SP,E15.7,\"i\",A)') 'matrix(', i, ',', j, ')=', mdata%d%c2_dp(i, j), ';'\n END DO\n END DO\n END SELECT\n\n CALL dbcsr_data_release(mdata)\n END SUBROUTINE\n\n FUNCTION test_scale_by_vector(mp_env, npdims, matrix, vector, do_exact_comparison) RESULT(res)\n !! Performs T(v * T(M)) == M*v\n TYPE(dbcsr_mp_obj), INTENT(IN) :: mp_env\n INTEGER, DIMENSION(2), INTENT(IN) :: npdims\n !! processor grid\n TYPE(dbcsr_type), INTENT(IN) :: matrix\n !! matrix to scale\n TYPE(dbcsr_data_obj), INTENT(IN) :: vector\n !! scaling vector\n LOGICAL, INTENT(IN) :: do_exact_comparison\n !! whether to do an exact comparison (via densification)\n\n INTEGER :: handle\n INTEGER, DIMENSION(:), POINTER, CONTIGUOUS :: col_dist, row_dist\n TYPE(dbcsr_distribution_obj) :: dist\n TYPE(dbcsr_type) :: matrix_right, matrix_left, matrix_left_transposed\n LOGICAL :: res\n\n CHARACTER(len=*), PARAMETER :: routineN = 'test_scale_by_vector'\n\n CALL timeset(routineN, handle)\n NULLIFY (row_dist, col_dist)\n\n ! Row & column distributions\n CALL dbcsr_random_dist(row_dist, dbcsr_nblkrows_total(matrix), npdims(1))\n CALL dbcsr_random_dist(col_dist, dbcsr_nblkcols_total(matrix), npdims(2))\n CALL dbcsr_distribution_new(dist, mp_env, row_dist, col_dist, reuse_arrays=.TRUE.)\n\n ! Create redistributed matrix\n CALL dbcsr_create(matrix_right, \"RHS Test for \"//TRIM(dbcsr_name(matrix)), &\n dist, dbcsr_get_matrix_type(matrix), &\n row_blk_size_obj=matrix%row_blk_size, &\n col_blk_size_obj=matrix%col_blk_size, &\n data_type=dbcsr_get_data_type(matrix))\n\n CALL dbcsr_distribution_release(dist)\n CALL dbcsr_redistribute(matrix, matrix_right)\n\n CALL dbcsr_new_transposed(matrix_left, matrix_right)\n\n !\n ! Perform scaling, once from right, once from left\n CALL dbcsr_scale_by_vector(matrix_right, vector, side=\"right\")\n CALL dbcsr_scale_by_vector(matrix_left, vector, side=\"left\")\n\n ! for the comparison we need the transposed LHS again\n CALL dbcsr_new_transposed(matrix_left_transposed, matrix_left)\n\n ! now compare either exactly via densification or less exactly via checksums\n IF (do_exact_comparison) THEN\n BLOCK\n TYPE(dbcsr_data_obj) :: mdata_left, mdata_right\n\n CALL dbcsr_data_init(mdata_left)\n CALL dbcsr_data_new(mdata_left, dbcsr_type_1d_to_2d(dbcsr_get_data_type(matrix_left_transposed)), &\n data_size=dbcsr_nfullrows_total(matrix_left_transposed), &\n data_size2=dbcsr_nfullcols_total(matrix_left_transposed))\n CALL dbcsr_to_dense_local(matrix_left_transposed, mdata_left)\n\n CALL dbcsr_data_init(mdata_right)\n CALL dbcsr_data_new(mdata_right, dbcsr_type_1d_to_2d(dbcsr_get_data_type(matrix_right)), &\n data_size=dbcsr_nfullrows_total(matrix_right), data_size2=dbcsr_nfullcols_total(matrix_right))\n CALL dbcsr_to_dense_local(matrix_right, mdata_right)\n\n SELECT CASE (dbcsr_get_data_type(matrix_right))\n CASE (dbcsr_type_real_4)\n res = ALL(ABS(mdata_right%d%r2_sp - mdata_left%d%r2_sp) < 1.0D-5)\n CASE (dbcsr_type_real_8)\n res = ALL(ABS(mdata_right%d%r2_dp - mdata_left%d%r2_dp) < 1.0D-5)\n CASE (dbcsr_type_complex_4)\n res = ALL(ABS(mdata_right%d%c2_sp - mdata_left%d%c2_sp) < 1.0D-5)\n CASE (dbcsr_type_complex_8)\n res = ALL(ABS(mdata_right%d%c2_dp - mdata_left%d%c2_dp) < 1.0D-5)\n END SELECT\n\n CALL dbcsr_data_release(mdata_left)\n CALL dbcsr_data_release(mdata_right)\n END BLOCK\n ELSE\n !\n ! Calculate checksums and set result\n res = ABS(dbcsr_checksum(matrix_right, pos=.TRUE.) - dbcsr_checksum(matrix_left_transposed, pos=.TRUE.)) < 1.0D-5\n END IF\n\n CALL dbcsr_release(matrix_left)\n CALL dbcsr_release(matrix_left_transposed)\n CALL dbcsr_release(matrix_right)\n\n CALL timestop(handle)\n END FUNCTION\nEND MODULE\n" }, { "path": "tests/dbcsr_unittest1.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_unittest_1\n !! Tests for DBCSR operations:\n !! add, multiply and multiply-ghost\n\n USE dbcsr_kinds, ONLY: dp\n USE dbcsr_lib, ONLY: dbcsr_finalize_lib, &\n dbcsr_init_lib, &\n dbcsr_print_statistics\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_new, &\n dbcsr_mp_release\n USE dbcsr_mpiwrap, ONLY: mp_cart_create, &\n mp_cart_rank, &\n mp_comm_free, &\n mp_environ, &\n mp_world_finalize, &\n mp_world_init, mp_comm_type\n USE dbcsr_test_add, ONLY: dbcsr_test_adds\n USE dbcsr_test_methods, ONLY: dbcsr_reset_randmat_seed\n USE dbcsr_test_multiply, ONLY: dbcsr_test_multiplies\n USE dbcsr_types, ONLY: dbcsr_mp_obj\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n INTEGER :: numnodes, mynode, &\n prow, pcol, io_unit, handle\n INTEGER, DIMENSION(2) :: npdims, myploc\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n TYPE(dbcsr_mp_obj) :: mp_env\n TYPE(mp_comm_type) :: mp_comm, group\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_unittest'\n\n !***************************************************************************************\n\n ! initialize mpi\n CALL mp_world_init(mp_comm)\n\n ! setup the mp environment\n npdims(:) = 0\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, group)\n CALL mp_environ(numnodes, mynode, group)\n ALLOCATE (pgrid(0:npdims(1) - 1, 0:npdims(2) - 1))\n DO prow = 0, npdims(1) - 1\n DO pcol = 0, npdims(2) - 1\n CALL mp_cart_rank(group, (/prow, pcol/), pgrid(prow, pcol))\n END DO\n END DO\n CALL dbcsr_mp_new(mp_env, group, pgrid, mynode, numnodes, &\n myprow=myploc(1), mypcol=myploc(2))\n DEALLOCATE (pgrid)\n\n ! set standard output parameters\n io_unit = 0\n IF (mynode .EQ. 0) io_unit = default_output_unit\n\n ! initialize libdbcsr\n CALL dbcsr_init_lib(mp_comm%get_handle(), io_unit)\n\n ! initialize libdbcsr errors\n CALL timeset(routineN, handle)\n\n CALL dbcsr_reset_randmat_seed()\n\n ! run tests\n\n ! add -----------------------------------------------------------------------\n\n CALL dbcsr_test_adds(\"add_1\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 25/), &\n sparsities=(/0.7_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 1.0_dp, dp), beta=CMPLX(2.0_dp, 2.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2, 1, 3/), &\n limits=(/1, 50, 1, 25/))\n\n CALL dbcsr_test_adds(\"add_2\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50/), &\n sparsities=(/0.4_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(3.0_dp, 2.0_dp, dp), beta=CMPLX(4.0_dp, 0.5_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), &\n limits=(/1, 50, 1, 50/))\n\n ! multiply ------------------------------------------------------------------\n\n CALL dbcsr_test_multiplies(\"multiply_ALPHA\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/20, 20, 20/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(-3.0_dp, -4.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 4/), bs_n=(/1, 4/), bs_k=(/1, 4/), &\n limits=(/2, 6, 3, 7, 6, 7/))\n\n CALL dbcsr_test_multiplies(\"multiply_BETA\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/20, 20, 20/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(3.0_dp, -2.0_dp, dp), &\n bs_m=(/1, 4/), bs_n=(/1, 4/), bs_k=(/1, 4/), &\n limits=(/2, 6, 3, 7, 6, 7/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_COL_1\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 1, 20, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_COL_2\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 9, 18, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_COL_3\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 9, 18, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_COL_4\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/25, 50, 75/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 25, 9, 18, 1, 75/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_K_1\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 1, 50, 1, 20/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_K_2\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 1, 50, 9, 18/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_K_3\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 1, 50, 9, 18/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_K_4\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/25, 50, 75/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 25, 1, 50, 9, 18/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_MIX_1\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/9, 18, 11, 20, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_MIX_2\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 9, 10, 11, 20/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_MIX_3\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/9, 20, 1, 50, 11, 18/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_MIX_4\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/11, 20, 11, 20, 13, 18/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_MIX_5\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/11, 20, 11, 20, 13, 18/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_MIX_6\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/25, 50, 75/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/11, 20, 11, 20, 13, 18/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_MIX_7\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/25, 50, 75/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 1.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2, 1, 3/), bs_k=(/1, 3, 1, 2, 1, 0/), &\n limits=(/11, 20, 11, 20, 6, 10/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_ROW_1\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 20, 1, 50, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_ROW_2\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/9, 18, 1, 50, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_ROW_3\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/9, 18, 1, 50, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"multiply_LIMITS_ROW_4\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/25, 50, 75/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/9, 18, 1, 50, 1, 75/))\n\n CALL dbcsr_test_multiplies(\"multiply_RT\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 1, 50, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"multiply_SQ\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 50/), &\n sparsities=(/0.0_dp, 0.0_dp, 0.0_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 50, 1, 50, 1, 50/))\n\n ! multiply-ghost ------------------------------------------------------------\n\n CALL dbcsr_test_multiplies(\"ub2\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/20, 20, 20/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 4/), bs_n=(/1, 4/), bs_k=(/1, 4/), &\n limits=(/2, 6, 3, 7, 6, 7/))\n\n CALL dbcsr_test_multiplies(\"ub-k-ghost\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/20, 20, 20/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 4/), bs_n=(/1, 4/), bs_k=(/1, 4, 1, 0/), &\n limits=(/2, 6, 3, 7, 2, 7/))\n\n CALL dbcsr_test_multiplies(\"ub-m-ghost\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/20, 20, 20/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 4, 1, 0/), bs_n=(/1, 4/), bs_k=(/1, 4/), &\n limits=(/2, 6, 3, 7, 2, 7/))\n\n CALL dbcsr_test_multiplies(\"ub-mnk-ghost\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/20, 20, 20/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 4, 1, 0/), bs_n=(/1, 4, 1, 0/), bs_k=(/1, 4, 1, 0/), &\n limits=(/2, 6, 3, 7, 2, 7/))\n\n CALL dbcsr_test_multiplies(\"ub-n-ghost\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/20, 20, 20/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 4/), bs_n=(/1, 4, 1, 0/), bs_k=(/1, 4/), &\n limits=(/2, 6, 3, 7, 2, 7/))\n\n CALL dbcsr_test_multiplies(\"ub\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/20, 20, 20/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.TRUE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 2/), bs_n=(/1, 2/), bs_k=(/1, 2/), &\n limits=(/1, 20, 1, 20, 9, 18/))\n\n ! end of test cases ---------------------------------------------------------\n\n CALL timestop(handle)\n\n ! clean mp environment\n CALL dbcsr_mp_release(mp_env)\n\n ! finalize mpi\n CALL mp_comm_free(group)\n\n call dbcsr_print_statistics(.true.)\n ! finalize libdbcsr\n CALL dbcsr_finalize_lib()\n CALL mp_world_finalize()\n\nEND PROGRAM dbcsr_unittest_1\n" }, { "path": "tests/dbcsr_unittest2.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_unittest_2\n !! Tests for DBCSR multiply:\n !! large blocks (block size=100)\n !! and rectangular matrices (block size=5)\n\n USE dbcsr_kinds, ONLY: dp\n USE dbcsr_lib, ONLY: dbcsr_finalize_lib, &\n dbcsr_init_lib, &\n dbcsr_print_statistics\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_new, &\n dbcsr_mp_release\n USE dbcsr_mpiwrap, ONLY: mp_cart_create, &\n mp_cart_rank, &\n mp_comm_free, &\n mp_environ, &\n mp_world_finalize, &\n mp_world_init, mp_comm_type\n USE dbcsr_test_methods, ONLY: dbcsr_reset_randmat_seed\n USE dbcsr_test_multiply, ONLY: dbcsr_test_multiplies\n USE dbcsr_types, ONLY: dbcsr_mp_obj\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n INTEGER :: numnodes, mynode, &\n prow, pcol, io_unit, handle\n INTEGER, DIMENSION(2) :: npdims, myploc\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n TYPE(dbcsr_mp_obj) :: mp_env\n TYPE(mp_comm_type) :: mp_comm, group\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_unittest'\n\n !***************************************************************************************\n\n ! initialize mpi\n CALL mp_world_init(mp_comm)\n\n ! setup the mp environment\n npdims(:) = 0\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, group)\n CALL mp_environ(numnodes, mynode, group)\n ALLOCATE (pgrid(0:npdims(1) - 1, 0:npdims(2) - 1))\n DO prow = 0, npdims(1) - 1\n DO pcol = 0, npdims(2) - 1\n CALL mp_cart_rank(group, (/prow, pcol/), pgrid(prow, pcol))\n END DO\n END DO\n CALL dbcsr_mp_new(mp_env, group, pgrid, mynode, numnodes, &\n myprow=myploc(1), mypcol=myploc(2))\n DEALLOCATE (pgrid)\n\n ! set standard output parameters\n io_unit = 0\n IF (mynode .EQ. 0) io_unit = default_output_unit\n\n ! initialize libdbcsr\n CALL dbcsr_init_lib(mp_comm%get_handle(), io_unit)\n\n ! initialize libdbcsr errors\n CALL timeset(routineN, handle)\n\n CALL dbcsr_reset_randmat_seed()\n\n ! run tests\n\n ! multiply ------------------------------------------------------------------\n\n ! Large Blocks\n CALL dbcsr_test_multiplies(\"large_blocks_1\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/500, 500, 500/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 100/), bs_n=(/1, 100/), bs_k=(/1, 100/), &\n limits=(/1, 500, 1, 500, 1, 500/))\n\n CALL dbcsr_test_multiplies(\"large_blocks_2\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/500, 50, 50/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 100/), bs_n=(/1, 10/), bs_k=(/1, 10/), &\n limits=(/1, 500, 1, 50, 1, 50/))\n\n ! Rectangular matrices\n CALL dbcsr_test_multiplies(\"rectangular_matrix_M\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/500, 50, 50/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 5/), bs_n=(/1, 5/), bs_k=(/1, 5/), &\n limits=(/1, 500, 1, 50, 1, 50/))\n\n CALL dbcsr_test_multiplies(\"rectangular_matrix_K\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/50, 50, 500/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 5/), bs_n=(/1, 5/), bs_k=(/1, 5/), &\n limits=(/1, 50, 1, 50, 1, 500/))\n\n ! end of test cases ---------------------------------------------------------\n\n ! finalize libdbcsr errors\n CALL timestop(handle)\n\n ! clean mp environment\n CALL dbcsr_mp_release(mp_env)\n\n ! finalize mpi\n CALL mp_comm_free(group)\n\n call dbcsr_print_statistics(.true.)\n ! finalize libdbcsr\n CALL dbcsr_finalize_lib()\n\n CALL mp_world_finalize()\n\nEND PROGRAM dbcsr_unittest_2\n" }, { "path": "tests/dbcsr_unittest3.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_unittest_3\n !! Tests for DBCSR multiply:\n !! various block sizes that are run by the libsmm_acc GPU backend if\n !! DBCSR is compiled with GPU support.\n\n USE dbcsr_kinds, ONLY: dp\n USE dbcsr_lib, ONLY: dbcsr_finalize_lib, &\n dbcsr_init_lib, &\n dbcsr_print_statistics\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_new, &\n dbcsr_mp_release\n USE dbcsr_mpiwrap, ONLY: mp_cart_create, &\n mp_cart_rank, &\n mp_comm_free, &\n mp_environ, &\n mp_world_finalize, &\n mp_world_init, mp_comm_type\n USE dbcsr_test_methods, ONLY: dbcsr_reset_randmat_seed\n USE dbcsr_test_multiply, ONLY: dbcsr_test_multiplies\n USE dbcsr_types, ONLY: dbcsr_mp_obj\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n INTEGER :: numnodes, mynode, &\n prow, pcol, io_unit, handle\n INTEGER, DIMENSION(2) :: npdims, myploc\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n TYPE(dbcsr_mp_obj) :: mp_env\n TYPE(mp_comm_type) :: mp_comm, group\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_unittest'\n\n !***************************************************************************************\n\n ! initialize mpi\n CALL mp_world_init(mp_comm)\n\n ! setup the mp environment\n npdims(:) = 0\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, group)\n CALL mp_environ(numnodes, mynode, group)\n ALLOCATE (pgrid(0:npdims(1) - 1, 0:npdims(2) - 1))\n DO prow = 0, npdims(1) - 1\n DO pcol = 0, npdims(2) - 1\n CALL mp_cart_rank(group, (/prow, pcol/), pgrid(prow, pcol))\n END DO\n END DO\n CALL dbcsr_mp_new(mp_env, group, pgrid, mynode, numnodes, &\n myprow=myploc(1), mypcol=myploc(2))\n DEALLOCATE (pgrid)\n\n ! set standard output parameters\n io_unit = 0\n IF (mynode .EQ. 0) io_unit = default_output_unit\n\n ! initialize libdbcsr\n CALL dbcsr_init_lib(mp_comm%get_handle(), io_unit)\n\n ! initialize libdbcsr errors\n CALL timeset(routineN, handle)\n\n CALL dbcsr_reset_randmat_seed()\n\n ! run tests\n\n ! multiply ------------------------------------------------------------------\n\n CALL dbcsr_test_multiplies(\"blocks_1_3_4\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/496, 48, 48/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 1, 1, 3, 1, 4/), bs_n=(/1, 1, 1, 3, 1, 4/), bs_k=(/1, 1, 1, 3, 1, 4/), &\n limits=(/1, 496, 1, 48, 1, 48/))\n CALL dbcsr_test_multiplies(\"blocks_4_5_7\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/496, 48, 48/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 4, 1, 5, 1, 7/), bs_n=(/1, 4, 1, 5, 1, 7/), bs_k=(/1, 4, 1, 5, 1, 7/), &\n limits=(/1, 496, 1, 48, 1, 48/))\n CALL dbcsr_test_multiplies(\"blocks_5_8_9\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/506, 44, 44/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 5, 1, 8, 1, 9/), bs_n=(/1, 5, 1, 8, 1, 9/), bs_k=(/1, 5, 1, 8, 1, 9/), &\n limits=(/1, 506, 1, 44, 1, 44/))\n CALL dbcsr_test_multiplies(\"blocks_4_13_25\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/504, 42, 42/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 4, 1, 13, 1, 25/), bs_n=(/1, 4, 1, 13, 1, 25/), bs_k=(/1, 4, 1, 13, 1, 25/), &\n limits=(/1, 504, 1, 42, 1, 42/))\n CALL dbcsr_test_multiplies(\"blocks_14_29_32\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/525, 75, 75/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 14, 1, 29, 1, 32/), bs_n=(/1, 14, 1, 29, 1, 32/), bs_k=(/1, 14, 1, 29, 1, 32/), &\n limits=(/1, 525, 1, 75, 1, 75/))\n CALL dbcsr_test_multiplies(\"blocks_H2O\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/552, 46, 46/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 23/), bs_n=(/1, 23/), bs_k=(/1, 23/), &\n limits=(/1, 552, 1, 46, 1, 46/))\n CALL dbcsr_test_multiplies(\"blocks_45_67_78\", &\n group, mp_env, npdims, io_unit, matrix_sizes=(/570, 190, 190/), &\n sparsities=(/0.5_dp, 0.5_dp, 0.5_dp/), retain_sparsity=.FALSE., &\n alpha=CMPLX(1.0_dp, 0.0_dp, dp), beta=CMPLX(0.0_dp, 0.0_dp, dp), &\n bs_m=(/1, 45, 1, 67, 1, 78/), bs_n=(/1, 45, 1, 67, 1, 78/), bs_k=(/1, 45, 1, 67, 1, 78/), &\n limits=(/1, 570, 1, 190, 1, 190/))\n\n ! end of test cases ---------------------------------------------------------\n\n ! finalize libdbcsr errors\n CALL timestop(handle)\n\n ! clean mp environment\n CALL dbcsr_mp_release(mp_env)\n\n ! finalize mpi\n CALL mp_comm_free(group)\n\n call dbcsr_print_statistics(.true.)\n ! finalize libdbcsr\n CALL dbcsr_finalize_lib()\n\n CALL mp_world_finalize()\n\nEND PROGRAM dbcsr_unittest_3\n" }, { "path": "tests/dbcsr_unittest4.F", "content": "!--------------------------------------------------------------------------------------------------!\n! Copyright (C) by the DBCSR developers group - All rights reserved !\n! This file is part of the DBCSR library. !\n! !\n! For information on the license, see the LICENSE file. !\n! For further information please visit https://dbcsr.cp2k.org !\n! SPDX-License-Identifier: GPL-2.0+ !\n!--------------------------------------------------------------------------------------------------!\n\nPROGRAM dbcsr_unittest\n !! Tests for DBCSR operations\n\n USE dbcsr_kinds, ONLY: dp\n USE dbcsr_lib, ONLY: dbcsr_finalize_lib, &\n dbcsr_init_lib, &\n dbcsr_print_statistics\n USE dbcsr_machine, ONLY: default_output_unit\n USE dbcsr_mp_methods, ONLY: dbcsr_mp_new, &\n dbcsr_mp_release\n USE dbcsr_mpiwrap, ONLY: mp_cart_create, &\n mp_cart_rank, &\n mp_comm_free, &\n mp_environ, &\n mp_world_finalize, &\n mp_world_init, mp_comm_type\n USE dbcsr_test_add, ONLY: dbcsr_test_adds\n USE dbcsr_test_methods, ONLY: dbcsr_reset_randmat_seed\n USE dbcsr_test_scale_by_vector, ONLY: dbcsr_test_scale_by_vectors\n USE dbcsr_types, ONLY: dbcsr_mp_obj\n#include \"base/dbcsr_base_uses.f90\"\n\n IMPLICIT NONE\n\n INTEGER :: numnodes, mynode, &\n prow, pcol, io_unit, handle\n INTEGER, DIMENSION(2) :: npdims, myploc\n INTEGER, DIMENSION(:, :), POINTER :: pgrid\n TYPE(dbcsr_mp_obj) :: mp_env\n LOGICAL :: success\n TYPE(mp_comm_type) :: mp_comm, group\n\n CHARACTER(len=*), PARAMETER :: routineN = 'dbcsr_unittest'\n\n ! initialize mpi\n CALL mp_world_init(mp_comm)\n\n ! setup the mp environment\n npdims(:) = 0\n CALL mp_cart_create(mp_comm, 2, npdims, myploc, group)\n CALL mp_environ(numnodes, mynode, group)\n ALLOCATE (pgrid(0:npdims(1) - 1, 0:npdims(2) - 1))\n DO prow = 0, npdims(1) - 1\n DO pcol = 0, npdims(2) - 1\n CALL mp_cart_rank(group, (/prow, pcol/), pgrid(prow, pcol))\n END DO\n END DO\n CALL dbcsr_mp_new(mp_env, group, pgrid, mynode, numnodes, &\n myprow=myploc(1), mypcol=myploc(2))\n DEALLOCATE (pgrid)\n\n ! set standard output parameters\n io_unit = 0\n IF (mynode .EQ. 0) io_unit = default_output_unit\n\n ! initialize DBCSR\n CALL dbcsr_init_lib(mp_comm%get_handle(), io_unit)\n\n ! start measuring the complete test\n CALL timeset(routineN, handle)\n\n CALL dbcsr_reset_randmat_seed()\n\n ! run tests\n success = .TRUE.\n\n success = dbcsr_test_scale_by_vectors(\"scale_by_vector_symmetric\", &\n group, mp_env, npdims, io_unit, matrix_size=[20, 20], &\n sparsity=0.5_dp, bs_m=[1, 4], bs_n=[1, 4], do_exact_comparison=.FALSE.) &\n .AND. success\n\n ! specific reproducers of https://github.com/cp2k/dbcsr/issues/362\n ! the first one gives wrong results when scaling\n success = dbcsr_test_scale_by_vectors(\"scale_by_vector_asymm_exact1\", &\n group, mp_env, npdims, io_unit, matrix_size=[30, 20], &\n sparsity=0.0_dp, bs_m=[1, 4], bs_n=[1, 4], do_exact_comparison=.TRUE.) &\n .AND. success\n ! the second one triggers segfaults without the fix\n success = dbcsr_test_scale_by_vectors(\"scale_by_vector_asymm_exact2\", &\n group, mp_env, npdims, io_unit, matrix_size=[20, 30], &\n sparsity=0.0_dp, bs_m=[1, 4], bs_n=[1, 4], do_exact_comparison=.TRUE.) &\n .AND. success\n CALL timestop(handle)\n\n ! clean mp environment\n CALL dbcsr_mp_release(mp_env)\n\n ! finalize mpi\n CALL mp_comm_free(group)\n\n call dbcsr_print_statistics(.true.)\n ! finalize libdbcsr\n CALL dbcsr_finalize_lib()\n CALL mp_world_finalize()\n\n ! finalize libdbcsr errors\n IF (.NOT. success) &\n ERROR STOP \"one or more tests failed\"\nEND PROGRAM dbcsr_unittest\n" }, { "path": "tests/generate_libsmm_acc_timer_multiply.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport os\nimport random\nimport json\nimport argparse\n\n\ndef format_to_cpp(kernels):\n \"\"\"Given a list of kernels represented as dictionaries, return a string representing them as C++ vector of vectors\n using initializer lists\"\"\"\n kernels = sorted(kernels, key=lambda k: (k[\"m\"], k[\"n\"], k[\"k\"]))\n out = \"\"\n init_list_line = \" {{{m:>2}, {n:>2}, {k:>2}}},\\n\"\n for k in kernels:\n out += init_list_line.format(m=k[\"m\"], n=k[\"n\"], k=k[\"k\"])\n return out\n\n\n# ===============================================================================\ndef main(\n dbcsr_base_dir,\n libsmm_acc_base_dir,\n test_template_dir,\n test_output_dir,\n gpu_version,\n nsamples,\n):\n \"\"\"\n Generate a performance test of libsmm_acc in the form of a CUDA or HIP file, using libsmm_acc_timer_multiply.cpp.template as\n a template\n \"\"\"\n\n # Read parameter file\n print(\"GPU version: {}\".format(gpu_version))\n param_fn = os.path.join(\n libsmm_acc_base_dir,\n os.path.join(\"parameters\", \"parameters_{}.json\".format(gpu_version)),\n )\n with open(param_fn, \"r\") as f:\n all_kernels = json.load(f)\n\n # Get the autotuned kernels to test\n autotuned_kernels = [k for k in all_kernels if k[\"source\"] == \"autotuned\"]\n print(\"Found {:,} autotuned kernels\".format(len(autotuned_kernels)))\n kernels_to_print_autotuned = format_to_cpp(autotuned_kernels)\n\n # Get the non-autotuned kernels to test\n predicted_kernels = [k for k in all_kernels if k[\"source\"] != \"autotuned\"]\n print(\"Found {:,} predicted kernels\".format(len(predicted_kernels)))\n num_predicted_kernels = len(predicted_kernels)\n if num_predicted_kernels > 0:\n if nsamples >= num_predicted_kernels:\n nsamples = num_predicted_kernels\n kernels_to_test_predicted = random.sample(predicted_kernels, nsamples)\n kernels_to_print_predicted = format_to_cpp(kernels_to_test_predicted)\n else:\n kernels_to_test_predicted = list()\n kernels_to_print_predicted = \"\"\n\n # Print to test file\n file_template = os.path.join(\n test_template_dir, \"libsmm_acc_timer_multiply.cpp.template\"\n )\n file_generate = os.path.join(test_output_dir, \"libsmm_acc_timer_multiply.cpp\")\n with open(file_template, \"r\") as f:\n test = f.read()\n test = test.replace(\n \"[[AUTOTUNED_KERNELS_HERE]]\", kernels_to_print_autotuned.lstrip()\n )\n test = test.replace(\n \"[[PREDICTED_KERNELS_HERE]]\", kernels_to_print_predicted.lstrip()\n )\n with open(file_generate, \"w\") as f:\n f.write(test)\n print(\n \"Wrote {:,} test kernels to {}\".format(\n len(autotuned_kernels + kernels_to_test_predicted), file_generate\n )\n )\n\n\n# ===============================================================================\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(\n description=\"\"\"\n Generate a performance test of libsmm_acc in the form of a CUDA or HIP file, using\n libsmm_acc_timer_multiply.cpp.template as a template\n \"\"\",\n formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n )\n parser.add_argument(\n \"-f\", \"--base_dir\", metavar=\"DBCSRHOME\", default=\"\", help=\"DBCSR base directory\"\n )\n parser.add_argument(\n \"-o\",\n \"--out_dir\",\n metavar=\"OUTDIR\",\n default=\"tests\",\n help=\"Directory in which to write the generated test files. Expressed relatively to base_dir\",\n )\n parser.add_argument(\n \"-g\",\n \"--gpu_version\",\n metavar=\"GPU_VERSION\",\n default=\"P100\",\n help=\"GPU card version, used to select the appropriate libsmm_acc parameters file\",\n )\n parser.add_argument(\n \"-n\",\n \"--nsamples\",\n default=1000,\n help=(\n \"Number of samples from the matrix sizes space 4 <= m,n,k <= 45 (except autotuned kernels)\"\n \" to sample for performance testing\"\n ),\n )\n\n args = parser.parse_args()\n\n # Folders in/to which to read/write files\n libsmm_acc_base_dir = os.path.join(args.base_dir, \"src/acc/libsmm_acc\")\n test_template_dir = os.path.join(args.base_dir, \"tests\")\n test_output_dir = os.path.join(args.base_dir, args.out_dir)\n\n main(\n args.base_dir,\n libsmm_acc_base_dir,\n test_template_dir,\n test_output_dir,\n args.gpu_version,\n args.nsamples,\n )\n" }, { "path": "tests/generate_libsmm_acc_unittest_multiply.py", "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n####################################################################################################\n# Copyright (C) by the DBCSR developers group - All rights reserved #\n# This file is part of the DBCSR library. #\n# #\n# For information on the license, see the LICENSE file. #\n# For further information please visit https://dbcsr.cp2k.org #\n# SPDX-License-Identifier: GPL-2.0+ #\n####################################################################################################\n\nimport os\nimport random\nimport json\nimport argparse\n\n\ndef format_to_cpp(kernels):\n \"\"\"Given a list of kernels represented as dictionaries, return a string representing them as C++ vector of vectors\n using initializer lists\"\"\"\n kernels = sorted(kernels, key=lambda k: (k[\"m\"], k[\"n\"], k[\"k\"]))\n out = \"\"\n init_list_line = \" {{{m:>2}, {n:>2}, {k:>2}}},\\n\"\n for k in kernels:\n out += init_list_line.format(m=k[\"m\"], n=k[\"n\"], k=k[\"k\"])\n return out\n\n\n# ===============================================================================\ndef main(\n dbcsr_base_dir,\n libsmm_acc_base_dir,\n test_template_dir,\n test_output_dir,\n gpu_version,\n nsamples,\n):\n \"\"\"\n Generate a performance test of libsmm_acc in the form of a CUDA or HIP file, using libsmm_acc_unittest_multiply.cpp.template\n as a template\n \"\"\"\n\n # Read parameter file\n print(\"GPU version: {}\".format(gpu_version))\n param_fn = os.path.join(\n libsmm_acc_base_dir,\n os.path.join(\"parameters\", \"parameters_{}.json\".format(gpu_version)),\n )\n with open(param_fn, \"r\") as f:\n all_kernels = json.load(f)\n\n # Get the autotuned kernels to test\n autotuned_kernels = [k for k in all_kernels if k[\"source\"] == \"autotuned\"]\n print(\"Found {:,} autotuned kernels\".format(len(autotuned_kernels)))\n\n # Get the non-autotuned kernels to test\n predicted_kernels = [k for k in all_kernels if k[\"source\"] != \"autotuned\"]\n print(\"Found {:,} predicted kernels\".format(len(predicted_kernels)))\n num_predicted_kernels = len(predicted_kernels)\n if num_predicted_kernels > 0:\n if nsamples >= num_predicted_kernels:\n nsamples = num_predicted_kernels\n kernels_to_test_predicted = random.sample(predicted_kernels, nsamples)\n else:\n kernels_to_test_predicted = list()\n kernels_to_print = format_to_cpp(autotuned_kernels + kernels_to_test_predicted)\n\n # Print to test file\n file_template = os.path.join(\n test_template_dir, \"libsmm_acc_unittest_multiply.cpp.template\"\n )\n file_generate = os.path.join(test_output_dir, \"libsmm_acc_unittest_multiply.cpp\")\n with open(file_template, \"r\") as f:\n test = f.read()\n test = test.replace(\"[[UNITTEST_KERNELS_HERE]]\", kernels_to_print.lstrip())\n with open(file_generate, \"w\") as f:\n f.write(test)\n print(\"Wrote {:,} test kernels to {}\".format(len(kernels_to_print), file_generate))\n\n\n# ===============================================================================\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser(\n description=\"\"\"\n Generate a performance test of libsmm_acc in the form of a CUDA or HIP file, using\n libsmm_acc_unittest_multiply.cpp.template as a template\n \"\"\",\n formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n )\n parser.add_argument(\n \"-f\", \"--base_dir\", metavar=\"DBCSRHOME\", default=\"\", help=\"DBCSR base directory\"\n )\n parser.add_argument(\n \"-o\",\n \"--out_dir\",\n metavar=\"OUTDIR\",\n default=\"./tests\",\n help=\"Directory in which to write the generated test files\",\n )\n parser.add_argument(\n \"-g\",\n \"--gpu_version\",\n metavar=\"GPU_VERSION\",\n default=\"P100\",\n help=\"GPU card version, used to select the appropriate libsmm_acc parameters file\",\n )\n parser.add_argument(\n \"-n\",\n \"--nsamples\",\n default=1000,\n help=(\n \"Number of samples from the matrix sizes space 4 <= m,n,k <= 45 (except autotuned kernels)\"\n \" to sample for performance testing\"\n ),\n )\n\n args = parser.parse_args()\n\n # Folders in/to which to read/write files\n libsmm_acc_base_dir = os.path.join(args.base_dir, \"src/acc/libsmm_acc/\")\n test_template_dir = os.path.join(args.base_dir, \"tests\")\n test_output_dir = os.path.join(args.base_dir, args.out_dir)\n\n main(\n args.base_dir,\n libsmm_acc_base_dir,\n test_template_dir,\n test_output_dir,\n args.gpu_version,\n args.nsamples,\n )\n" }, { "path": "tests/input.perf", "content": "# Template Input File for DBCSR Performance Driver\n# -----------------------------------------------------------------------\n# npcols MPI grid\n# - 0 leaves MPI to find the best grid.\n# - Note that the total number of processors must be divisible per npcols\n0\n# use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n1000\n1000\n1000\n# sparsity (matrix A, matrix B, matrix C)\n0.0d0\n0.0d0\n0.0d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n# - 3: double\n# - other types, see \"Type definitions\" in dbcsr/src/data/dbcsr_data_types.F\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits\n# - 0 means full size\n# - row\n# -- limRowL (First full row of limiting submatrix)\n0\n# -- limRowU\n0\n# - col\n# -- limColL (First full col of limiting submatrix)\n0\n# -- limColU\n0\n# - k\n# -- limKL first full col of imiting inner product)\n0\n# -- limKU\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n1\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n# - this configuration, eg, will generate blocks of\n# - size 5 in the m-dimension\n1\n5\n# - this configuration would generate a block of\n# - size 5 followed by 2 blocks of size 3 in the m-dimension,\n# - followed by a block of size 5, etc. until size M is reached\n# - 1\n# - 5\n# - 2\n# - 3\n# the n blocks (multiplicity, block size, ...)\n1\n5\n# the k blocks (multiplicity, block size, ...)\n1\n5\n# checksum (check, threshold, references)\nF\n0.\n0.\n0.\n" }, { "path": "tests/inputs/test_H2O.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n0\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n2208\n2208\n2208\n# sparsity (A, B, C)\n0.2d0\n0.2d0\n0.2d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n50\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n23\n# the n blocks (multiplicity, block size, ...)\n1\n23\n# the k blocks (multiplicity, block size, ...)\n1\n23\n# checksum (check, threshold, references)\nF\n0.\n0.\n0.\n" }, { "path": "tests/inputs/test_rect1_dense.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n1\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n1000\n100\n100\n# sparsity (A, B, C)\n0.0d0\n0.0d0\n0.0d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n5\n# the n blocks (multiplicity, block size, ...)\n1\n5\n# the k blocks (multiplicity, block size, ...)\n1\n5\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.675410189104774E+08\n0.247302643276505E+08\n" }, { "path": "tests/inputs/test_rect1_sparse.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n1\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n5000\n1000\n1000\n# sparsity (A, B, C)\n0.9d0\n0.9d0\n0.9d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n5\n# the n blocks (multiplicity, block size, ...)\n1\n5\n# the k blocks (multiplicity, block size, ...)\n1\n5\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.515505547242877E+08\n0.173182002166628E+09\n" }, { "path": "tests/inputs/test_rect2_dense.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n1\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n100\n100\n1000\n# sparsity (A, B, C)\n0.0d0\n0.0d0\n0.0d0\n# transposes\nT\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n5\n# the n blocks (multiplicity, block size, ...)\n1\n5\n# the k blocks (multiplicity, block size, ...)\n1\n5\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.628267155865818E+09\n0.182181529654306E+08\n" }, { "path": "tests/inputs/test_rect2_sparse.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n1\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n1000\n1000\n5000\n# sparsity (A, B, C)\n0.9d0\n0.9d0\n0.9d0\n# transposes\nT\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n5\n# the n blocks (multiplicity, block size, ...)\n1\n5\n# the k blocks (multiplicity, block size, ...)\n1\n5\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.176967186312957E+09\n0.149098274728932E+09\n" }, { "path": "tests/inputs/test_singleblock.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n0\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n50\n50\n50\n# sparsity (A, B, C)\n0.0d0\n0.0d0\n0.0d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n50\n# the n blocks (multiplicity, block size, ...)\n1\n50\n# the k blocks (multiplicity, block size, ...)\n1\n50\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.418186760034529E+06\n0.190157258297048E+06\n" }, { "path": "tests/inputs/test_square_dense.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n0\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n100\n100\n100\n# sparsity (A, B, C)\n0.0d0\n0.0d0\n0.0d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n5\n# the n blocks (multiplicity, block size, ...)\n1\n5\n# the k blocks (multiplicity, block size, ...)\n1\n5\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.673287171736802E+07\n0.188077024338804E+07\n\n" }, { "path": "tests/inputs/test_square_sparse.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n0\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n1000\n1000\n1000\n# sparsity (A, B, C)\n0.9d0\n0.9d0\n0.9d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n5\n# the n blocks (multiplicity, block size, ...)\n1\n5\n# the k blocks (multiplicity, block size, ...)\n1\n5\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.996149460464712E+07\n0.299382963262912E+08\n" }, { "path": "tests/inputs/test_square_sparse_bigblocks.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n0\n# Use MPI-RMA\nF\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n10000\n1000\n1000\n# sparsity (A, B, C)\n0.9d0\n0.9d0\n0.9d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n100\n# the n blocks (multiplicity, block size, ...)\n1\n50\n# the k blocks (multiplicity, block size, ...)\n1\n20\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.179511893085946E+09\n0.349170005426525E+09\n" }, { "path": "tests/inputs/test_square_sparse_rma.perf", "content": "# npcols MPI grid, 0 leaves MPI to find the best grid.\n# Note that the total number of processors must be divisible per npcols\n0\n# Use MPI-RMA\nT\n# operation\ndbcsr_multiply\n# matrix sizes (M, N, K)\n1000\n1000\n1000\n# sparsity (A, B, C)\n0.9d0\n0.9d0\n0.9d0\n# transposes\nN\nN\n# symmetries\nN\nN\nN\n# data type\n3\n# alpha (real, imag)\n1.0d0\n0.0d0\n# beta (real, imag)\n1.0d0\n0.0d0\n# limits (0 means full size)\n# row\n0\n0\n# col\n0\n0\n# k\n0\n0\n# retain sparsity (T/F)\nF\n# number of repetitions\n10\n# number of different blocks to read (m, n, k)\n1\n1\n1\n# the m blocks (multiplicity, block size, ...)\n1\n5\n# the n blocks (multiplicity, block size, ...)\n1\n5\n# the k blocks (multiplicity, block size, ...)\n1\n5\n# checksum (check, threshold, references)\nT\n0.1E-10\n0.996149460464712E+07\n0.299382963262912E+08\n" }, { "path": "tests/libsmm_acc_timer_multiply.cpp.template", "content": "/*------------------------------------------------------------------------------------------------*\n * Copyright (C) by the DBCSR developers group - All rights reserved *\n * This file is part of the DBCSR library. *\n * *\n * For information on the license, see the LICENSE file. *\n * For further information please visit https://dbcsr.cp2k.org *\n * SPDX-License-Identifier: GPL-2.0+ *\n *------------------------------------------------------------------------------------------------*/\n\n#include \n#include \n#include \n#include \n#include \n#include \"libsmm_acc_benchmark.h\"\n#include \"libsmm_acc.h\"\n\nstd::vector combinations(std::vector to_combine) {\n\n std::vector v;\n size_t len = to_combine.size();\n for (size_t i=0; i0 with n being the number of errors,\n 0 otherwise\n \\****************************************************************************/\n\nint main(int argc, char* argv[]) {\n\n if (argc < 2) {\n printf(\"Usage: %s \\n\", argv[0]);\n return -1;\n }\n\n printf(\"Time kernels: %s\\n\", argv[1]);\n\n std::vector libsmm_acc_triplets;\n if (argv[1] == std::string(\"autotuned\")) {\n\n libsmm_acc_triplets = {\n [[AUTOTUNED_KERNELS_HERE]]\n };\n\n } else if (argv[1] == std::string(\"predicted\")) {\n\n libsmm_acc_triplets = {\n [[PREDICTED_KERNELS_HERE]]\n };\n\n } else {\n\n printf(\"Unrecognized option: %s, exiting ...\\n\", argv[1]);\n return -1;\n\n }\n\n // Build benchmark\n KernelLauncher launcher = libsmm_acc_process_d;\n char buffer[1000];\n char * kernel_descr[1] = {buffer};\n\n int n_triplets = libsmm_acc_triplets.size();\n printf(\"# Time %d blocksizes ...\\n\", n_triplets);\n\n int errors = 0;\n libsmm_acc_benchmark_t* handle;\n\n for (int i=0; i\n#include \n#include \n#include \n#include \"libsmm_acc_benchmark.h\"\n#include \"libsmm_acc.h\"\n\n\n/****************************************************************************\\\n \\brief Checks correctness of randomly selected libsmm_acc multiplication kernels\n\\****************************************************************************/\n\nint main(int argc, char** argv) {\n\n DBCSR_MARK_USED(argc);\n DBCSR_MARK_USED(argv);\n\n KernelLauncher launcher_mm = libsmm_acc_process_d;\n\n char buffer[1000];\n char * kernel_descr[1] = {buffer};\n\n // Get all blocksizes available in libsmm_acc\n std::vector libsmm_acc_triplets = {\n [[UNITTEST_KERNELS_HERE]]\n };\n int n_triplets = libsmm_acc_triplets.size();\n printf(\"# libsmm_acc has %d blocksizes for multiplication\\n\", n_triplets);\n\n int max_m=0, max_n=0, max_k=0;\n for (int i=0; i\n#include \n#include \n#include \n#include \n#include \n#include \"libsmm_acc_benchmark.h\"\n#include \"libsmm_acc.h\"\n\n\n/****************************************************************************\\\n \\brief Checks correctness of all libsmm transpose kernels\n\\****************************************************************************/\n\nint main(int argc, char** argv) {\n DBCSR_MARK_USED(argc);\n DBCSR_MARK_USED(argv);\n\n TransposeLauncher launcher_tr = libsmm_acc_transpose_d;\n\n char buffer[1000];\n char* kernel_descr[1] = {buffer};\n\n // Get all blocksizes available in libsmm\n std::vector libsmm_acc_triplets;\n extern const std::unordered_map ht;\n get_libsmm_acc_triplets(libsmm_acc_triplets, ht);\n int n_triplets = libsmm_acc_triplets.size();\n\n int max_m = 0, max_n = 0, max_k = 0;\n for (int i = 0; i < n_triplets; i++) {\n max_m = std::max(max_n, libsmm_acc_triplets[i][0]);\n max_n = std::max(max_m, libsmm_acc_triplets[i][1]);\n max_k = std::max(max_k, libsmm_acc_triplets[i][2]);\n }\n\n libsmm_acc_benchmark_t* handle;\n libsmm_acc_benchmark_init(&handle, test, max_m, max_n, max_k);\n\n // Get (m,n) pairs to test transposition\n std::vector> libsmm_acc_transpose_pairs;\n for (int i = 0; i < n_triplets; i++) {\n int m = libsmm_acc_triplets[i][0];\n int n = libsmm_acc_triplets[i][1];\n int k = libsmm_acc_triplets[i][2];\n libsmm_acc_transpose_pairs.push_back(std::make_pair(m, k));\n libsmm_acc_transpose_pairs.push_back(std::make_pair(k, n));\n }\n std::sort(libsmm_acc_transpose_pairs.begin(), libsmm_acc_transpose_pairs.end(), [](std::pair a, std::pair b) {\n return (a.first > b.first) || (a.first == b.first && a.second > b.second);\n });\n auto last = std::unique(libsmm_acc_transpose_pairs.begin(), libsmm_acc_transpose_pairs.end());\n libsmm_acc_transpose_pairs.erase(last, libsmm_acc_transpose_pairs.end());\n int n_pairs = libsmm_acc_transpose_pairs.size();\n printf(\"# libsmm_acc has %d blocksizes for transposition\\n\", n_pairs);\n\n // Sort (m,n) pairs in growing order\n std::sort(\n libsmm_acc_transpose_pairs.begin(), libsmm_acc_transpose_pairs.end(), [](std::pair mn1, std::pair mn2) {\n if (mn1.first != mn2.first) {\n return mn1.first < mn2.first;\n }\n else {\n return mn1.second < mn2.second;\n }\n });\n\n int errors = 0;\n for (int i = 0; i < n_pairs; i++) {\n int m = libsmm_acc_transpose_pairs[i].first;\n int n = libsmm_acc_transpose_pairs[i].second;\n sprintf(buffer, \"%d x %d\", m, n);\n errors += libsmm_acc_benchmark_transpose(handle, m, n, &launcher_tr, kernel_descr);\n }\n libsmm_acc_benchmark_finalize(handle);\n\n printf(\"# Done, found %d transpose errors.\\n\", errors);\n return errors;\n}\n" }, { "path": "tools/build_libsmm/COPYRIGHT", "content": "!====================================================================================================================\n! * Copyright (c) 2015 Joost VandeVondele and Alfio Lazzaro\n! * All rights reserved.\n! *\n! * Redistribution and use in source and binary forms, with or without\n! * modification, are permitted provided that the following conditions are met:\n! * * Redistributions of source code must retain the above copyright\n! * notice, this list of conditions and the following disclaimer.\n! * * Redistributions in binary form must reproduce the above copyright\n! * notice, this list of conditions and the following disclaimer in the\n! * documentation and/or other materials provided with the distribution.\n! *\n! * THIS SOFTWARE IS PROVIDED BY Joost VandeVondele ''AS IS'' AND ANY\n! * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n! * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n! * DISCLAIMED. IN NO EVENT SHALL Joost VandeVondele BE LIABLE FOR ANY\n! * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n! * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\n! * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\n! * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n! * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\n! * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n! *\n!====================================================================================================================\n\n" }, { "path": "tools/build_libsmm/README", "content": "libsmm: a library for small matrix multiplies.\n\nIn order to deal efficiently with small matrix multiplies,\noften involving 'special' matrix dimensions such as 5,13,17,22,\na dedicated matrix library can be generated that outperforms (or matches)\ngeneral purpose (optimized) blas libraries.\n\nGeneration requires extensive compilation and timing runs, and is machine specific,\ni.e. the library should be constructed on the architecture it is supposed to run.\n\nUsers can modify the values inside the file config.in to set which kind of library\nthey want to generate. Furthermore, they can modify (or add) the files inside\nthe config directory to set the compiler options used to build the\nlibrary. They can use the existing files as template.\n\nThere are several options for building the library. Run ./generate -h to see them.\nBelow you can find the detailed instructions for some examples.\n\n====================================================================================================================\na) How to generate the library running several jobs in a cluster, where each\n node allows for both execution and compilation.\n For this example we will use a CRAY system with GNU compiler and SLURM.\n Run \"./generate -h\" to see the meaning of the options.\n\n 1) Run: ./generate -c config/cray.gnu -j 100 -t 16 -w slurm tiny1\n This command submits 100 jobs in batch. Wait until their completion.\n\n 2) Run: ./generate -c config/cray.gnu tiny2\n This command collects all results produced in the tiny1 phase and it\n generates a file tiny_gen_optimal_dnn_cray.gnu.out\n\n 3) As done in 1) and 2), run: ./generate -c config/cray.gnu -j 20 -t 16 -w slurm small1\n This command submits 20 jobs in batch. Wait until their completion.\n Then run: ./generate -c config/cray.gnu small2\n This command collects all results produced in the small1 phase and it\n generates a file small_gen_optimal_dnn_cray.gnu.out\n\n 4) Run: ./generate -c config/cray.gnu -t 16 -w slurm lib\n This commman submit in batch a single job that compiles the library.\n At the end the library is produced inside the directory lib/\n (libsmm_dnn_cray.gnu.a).\n\n 5) It is highly recommended to run the final test to check the correctness of the library.\n Run: ./generate -c config/cray.gnu -j 20 -w slurm check1\n After the batch jobs completion, run: ./generate -c config/cray.gnu -j 20 check2\n Note that it is important to use the same number of jobs specified in\n check1 phase. Finally check test_smm_dnn_cray.gnu.out for performance and correctness.\n\n 6) Intermediate files (but not some key output and the library itself)\n might be removed using ./generate clean\n\n\n====================================================================================================================\nb) How to generate the library running a single job interactively.\n For this example we will use a Linux system with GNU compiler.\n Run \"./generate -h\" to see the meaning of the options.\n\n 1) Run: ./generate -c config/linux.gnu -j 10 -t 16 -w none tiny1\n This command generates, compiles and executes the tiny kernels\n in 10 groups. Please increase the number of groups (-j <#> option)\n if you get the error \"Argument list too long\".\n\n 2) Run: ./generate -c config/linux.gnu tiny2\n This command collects all results produced in the tiny1 phase and it\n generates a file tiny_gen_optimal_dnn_linux.gnu.out\n\n 3) Run: ./generate -c config/linux.gnu -j 0 -t 16 small1\n This command generates a file small_gen_optimal_dnn_linux.gnu.out\n\n 4) Run: ./generate -c config/linux.gnu -j 0 -t 16 -w slurm lib\n This command produces the llibrary inside the directory lib/\n (libsmm_dnn_linux.gnu.a).\n\n 5) It is highly recommended to run the final test to check the correctness\n of the library.\n Run: ./generate -c config/linux.gnu -j 0 -w slurm check1\n Finally check test_smm_dnn_linux.gnu.out for performance\n and correctness.\n\n 6) Intermediate files (but not some key output and the library itself)\n might be removed using ./generate clean\n\n====================================================================================================================\nc) How to generate the library for the Intel Xeon Phi in batch mode.\n\n For this example we will use a cluster with SLURM, where each node has a\n Intel Xeon Phi card.\n Run \"./generate -h\" to see the meaning of the options.\n We use the config file mic.intel (inside the directory config).\n Check if all options are OK for your case, in particular:\n - the target_compile variable with the flag \"-offload-attribute-target=mic\".\n - the target_compile_offload variable with the flag \"-offload=mandatory\".\n - Set the MIC_OMP_NUM_THREADS variable to the number of cores on the card.\n\n Note that the library is produced by offloading the kernels to the Xeon\n Phi. Performance output files are written in the same directory where the\n library is executed on the host, therefore this directory must be exported\n to the Xeon Phi with the right permission (read/write).\n\n 1) Run: ./generate -c config/mic.intel -j 100 -t 16 -w slurm tiny1\n This command submits 100 jobs in batch. Each job offloads executions\n to the Intel Xeon Phi card (MIC_OMP_NUM_THREADS threads). Wait until\n completion of all jobs.\n\n 2) Run: ./generate -c config/mic.intel tiny2\n This command collects all results of the tiny1 phase and it generates\n the file tiny_gen_optimal_dnn_mic.intel.out.\n\n 3) As done in 1) and 2), run: ./generate -c config/mic.intel -j 100 -t 16 -w slurm small1\n This command submits 100 jobs in batch, where each job offloads\n executions to the Intel Xeon Phi card (MIC_OMP_NUM_THREADS\n threads). Wait until their completion. Then run: ./generate -c config/mic.intel small2\n This command collects all results produced in the small1 phase and it\n generates a file small_gen_optimal_dnn_mic.intel.out\n\n 4) Run: ./generate -c config/mic.intel -t 16 -w slurm lib\n This commman submit in batch a single job that compiles the library.\n At the end the library is produced inside the directory lib/\n (libsmm_dnn_mic.intel.a).\n\n 5) It is highly recommended to run the final test to check the correctness of the library.\n Run: ./generate -c config/mic.intel -j 200 -w slurm check1\n After the batch jobs completion, run: ./generate -c config/mic.intel -j 200 check2\n Note that it is important to use the same number of jobs specified in\n check1 phase. Finally check test_smm_dnn_mic.intel.out for performance and correctness.\n\n 6) Intermediate files (but not some key output and the library itself)\n might be removed using ./generate clean\n\n\nThe following copyright covers code and generated library\n!====================================================================================================================\n! * Copyright (c) 2015 Joost VandeVondele and Alfio Lazzaro\n! * All rights reserved.\n! *\n! * Redistribution and use in source and binary forms, with or without\n! * modification, are permitted provided that the following conditions are met:\n! * * Redistributions of source code must retain the above copyright\n! * notice, this list of conditions and the following disclaimer.\n! * * Redistributions in binary form must reproduce the above copyright\n! * notice, this list of conditions and the following disclaimer in the\n! * documentation and/or other materials provided with the distribution.\n! *\n! * THIS SOFTWARE IS PROVIDED BY Joost VandeVondele ''AS IS'' AND ANY\n! * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n! * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n! * DISCLAIMED. IN NO EVENT SHALL Joost VandeVondele BE LIABLE FOR ANY\n! * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n! * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\n! * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\n! * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n! * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\n! * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n! *\n!====================================================================================================================\n\n" }, { "path": "tools/build_libsmm/config/cray.cce", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2013)\n\n# Use: module load PrgEnv-cray\n# Remember to remove any module specific for GPU, e.g. module unload craype-accel-nvidia35 cudatoolkit\n\n#\n# target compiler... these are the options used for building the library.\n# They should be aggessive enough to e.g. perform vectorization for the specific CPU (e.g. -ftree-vectorize -march=native),\n# and allow some flexibility in reordering floating point expressions (-ffast-math).\n# Higher level optimisation (in particular loop nest optimization) should not be used.\n#\ntarget_compile=\"ftn -O2 -hfp3 -hnodwarf -Onopattern -hvector1 -eF -ffree\"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\n# Use libsci when using ftn, therefore no need to set blas_linking\n#\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"gfortran-4.6 -O2\"\n\n#\n# Show affinity mask\n#\nexport CRAY_OMP_CHECK_AFFINITY=TRUE\n\n#\n# Set the aprun command and its options for batch submission\n#\naprun_cmd=\"aprun -n 1 -N 1 -d ${ntasks} -r 1\"\n" }, { "path": "tools/build_libsmm/config/cray.gnu", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2013)\n\n# Use: module load PrgEnv-gnu\n# Remember to remove any module specific for GPU, e.g. module unload craype-accel-nvidia35 cudatoolkit\n\n#\n# target compiler... these are the options used for building the library.\n# They should be aggessive enough to e.g. perform vectorization for the specific CPU (e.g. -ftree-vectorize -march=native),\n# and allow some flexibility in reordering floating point expressions (-ffast-math).\n# Higher level optimisation (in particular loop nest optimization) should not be used.\n#\ntarget_compile=\"ftn -O2 -funroll-loops -ffast-math -ftree-vectorize -cpp -finline-functions -fopenmp -march=native\"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\n# Use libsci when using ftn, therefore no need to set blas_linking\n#\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"gfortran -O2\"\n\n#\n# Set the aprun command and its options for batch submission\n#\naprun_cmd=\"aprun -n 1 -N 1 -d ${ntasks} -r 1\"\n" }, { "path": "tools/build_libsmm/config/cray.intel.libsci", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2013)\n\n# Use: module load PrgEnv-intel\n# Remember to remove any module specific for GPU, e.g. module unload craype-accel-nvidia35 cudatoolkit\n\n#\n# target compiler... these are the options used for building the library.\n# They should be aggessive enough to e.g. perform vectorization for the specific CPU (e.g. -ftree-vectorize -march=native),\n# and allow some flexibility in reordering floating point expressions (-ffast-math).\n# Higher level optimisation (in particular loop nest optimization) should not be used.\n#\ntarget_compile=\"ftn -O2 -funroll-loops -warn -fpp -finline-functions -nogen-interfaces -openmp -nolib-inline -no-offload\"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\n# Use libsci when using ftn, therefore no need to set blas_linking\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"ifort -O2\"\n\n#\n# Set KMP affinity\n#\nexport KMP_AFFINITY=verbose,granularity=fine,scatter\n\n#\n# Set the aprun command and its options for batch submission\n#\naprun_cmd=\"aprun -n 1 -N 1 -d ${ntasks} -r 1 -cc none\"\n" }, { "path": "tools/build_libsmm/config/cray.intel.mkl", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2013)\n\n# Use: module load PrgEnv-intel\n# Remember to remove any module specific for GPU, e.g. module unload craype-accel-nvidia35 cudatoolkit\n\n#\n# target compiler... these are the options used for building the library.\n# They should be aggessive enough to e.g. perform vectorization for the specific CPU (e.g. -ftree-vectorize -march=native),\n# and allow some flexibility in reordering floating point expressions (-ffast-math).\n# Higher level optimisation (in particular loop nest optimization) should not be used.\n#\ntarget_compile=\"ftn -O2 -funroll-loops -warn -fpp -finline-functions -nogen-interfaces -openmp -nolib-inline -no-offload \"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\nblas_linking=\"-static-intel -mkl=sequential\"\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"ifort -O2\"\n\n#\n# Set KMP affinity\n#\nexport KMP_AFFINITY=verbose,granularity=fine,scatter\n\n#\n# Set the aprun command and its options for batch submission\n#\naprun_cmd=\"aprun -n 1 -N 1 -d ${ntasks} -r 1 -cc none\"\n" }, { "path": "tools/build_libsmm/config/cray_mic.intel", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2014)\n#\n# This file uses offload mode for the execution of the kernels on the Intel Xeon phi.\n# Remember to set the variable target_compile_offload.\n\n#\n# target compiler... these are the options used for building the Intel Xeon Phi kernels.\n# They should be aggessive enough to e.g. perform vectorization,\n# and allow some flexibility in reordering floating point expressions.\n# Higher level optimisation (in particular loop nest optimization) should not\n# be used.\n# Mandatory to add \"-offload-attribute-target=mic\"\n#\ntarget_compile=\"ftn -O2 -funroll-loops -warn -offload-attribute-target=mic -fpp -finline-functions -nogen-interfaces -openmp\"\n\n#\n# target compiler used to build the CPU driven code for the offload execution\n# of the Intel Xeon Phi kernels.\n# You can reuse most of the flags defined in the target_compile variable.\n# Replace \"-offload-attribute-target=mic\" with \"-offload=mandatory\".\n#\ntarget_compile_offload=\"ftn -O2 -funroll-loops -warn -offload=mandatory -watch=mic-cmd -fpp -finline-functions -nogen-interfaces -openmp\"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\nblas_linking=\"-mkl=sequential\"\n\n#\n# SIMD registers type (bytes): sse (16), avx (32), knc (64)\n#\nSIMD=knc\n\n#\n# Number of threads to be used on the card.\n# Do not use hyperthreads!\n#\nMIC_OMP_NUM_THREADS=58\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"ftn -O2\"\n\n#\n# Set KMP affinity and other variables\n#\nexport KMP_AFFINITY=verbose,granularity=fine,scatter\nexport OFFLOAD_REPORT=3\nexport OMP_STACKSIZE=256M\nexport MIC_STACKSIZE=256M\nexport CRAYPE_LINK_TYPE=dynamic\n\n#\n# Set the aprun command and its options for batch submission\n#\naprun_cmd=\"aprun -n 1 -N 1 -d ${ntasks} -r 1 -cc none\"\n" }, { "path": "tools/build_libsmm/config/linux.gnu", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2013)\n\n#\n# target compiler... these are the options used for building the library.\n# They should be aggessive enough to e.g. perform vectorization for the specific CPU (e.g. -ftree-vectorize -march=native),\n# and allow some flexibility in reordering floating point expressions (-ffast-math).\n# Higher level optimisation (in particular loop nest optimization) should not be used.\n#\ntarget_compile=\"gfortran -O2 -funroll-loops -ffast-math -ftree-vectorize -march=native -cpp -finline-functions -fopenmp\"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\nblas_linking=\"-L${INTEL_PATH}/mkl/lib/intel64 -Wl,--start-group -lmkl_gf_lp64 -lmkl_sequential -lmkl_core -Wl,--end-group\"\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"gfortran -O2\"\n" }, { "path": "tools/build_libsmm/config/linux.intel", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2013)\n\n#\n# target compiler... these are the options used for building the library.\n# They should be aggessive enough to e.g. perform vectorization for the specific CPU (e.g. -ftree-vectorize -march=native),\n# and allow some flexibility in reordering floating point expressions (-ffast-math).\n# Higher level optimisation (in particular loop nest optimization) should not be used.\n# Note: -fp-model fast=1 is default for the Intel compiler\n#\ntarget_compile=\"ifort -O2 -funroll-loops -warn -xHost -fpp -finline-functions -nogen-interfaces -openmp -nolib-inline -no-offload\"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\nblas_linking=\"-static-intel -mkl=sequential\"\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"gfortran -O2\"\n" }, { "path": "tools/build_libsmm/config/local_libxsmm.gnu", "content": "# Author: Alfio Lazzaro, alfio.lazzaro@mat.ethz.ch (2015)\n\n#\n# target compiler... these are the options used for building the library.\n# They should be aggessive enough to e.g. perform vectorization for the specific CPU (e.g. -ftree-vectorize -march=native),\n# and allow some flexibility in reordering floating point expressions (-ffast-math).\n# Higher level optimisation (in particular loop nest optimization) should not be used.\n#\ntarget_compile=\"gfortran -O2 -funroll-loops -ffast-math -ftree-vectorize -march=native -cpp -finline-functions -fopenmp\"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\nblas_linking=\"-L${CP2KINSTALLDIR}/lib -lrefblas\"\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"gfortran -O2\"\n\n#\n# include libxsmm (absolute path)\n#\nlibxsmm_dir=/data/lazzaral/new_libsmm/libxsmm-1.0\n" }, { "path": "tools/build_libsmm/config/mic.intel", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2014)\n#\n# This file uses offload mode for the execution of the kernels on the Intel Xeon phi.\n# Remember to set the variable target_compile_offload.\n\n#\n# target compiler... these are the options used for building the Intel Xeon Phi kernels.\n# They should be aggessive enough to e.g. perform vectorization,\n# and allow some flexibility in reordering floating point expressions.\n# Higher level optimisation (in particular loop nest optimization) should not\n# be used.\n# Mandatory to add \"-offload-attribute-target=mic\"\n#\ntarget_compile=\"ifort -O2 -funroll-loops -warn -offload-attribute-target=mic -fpp -finline-functions -nogen-interfaces -openmp\"\n\n#\n# target compiler used to build the CPU driven code for the offload execution\n# of the Intel Xeon Phi kernels.\n# You can reuse most of the flags defined in the target_compile variable.\n# Replace \"-offload-attribute-target=mic\" with \"-offload=mandatory\".\n#\ntarget_compile_offload=\"ifort -O2 -funroll-loops -warn -offload=mandatory -watch=mic-cmd -fpp -finline-functions -nogen-interfaces -openmp\"\n\n#\n# target dgemm link options... these are the options needed to link blas (e.g. -lblas)\n# blas is used as a fall back option for sizes not included in the library or in those cases where it is faster\n# the same blas library should thus also be used when libsmm is linked.\n#\nblas_linking=\"-mkl=sequential\"\n\n#\n# SIMD registers type (bytes): sse (16), avx (32), knc (64)\n#\nSIMD=knc\n\n#\n# Number of threads to be used on the card.\n# Do not use hyperthreads!\n#\nMIC_OMP_NUM_THREADS=58\n\n#\n# host compiler... this is used only to compile a few tools needed to build\n# the library. The library itself is not compiled this way.\n# This compiler needs to be able to deal with some Fortran2003 constructs.\n#\nhost_compile=\"ifort -O2\"\n\n#\n# Set KMP affinity and other variables\n#\nexport KMP_AFFINITY=verbose,granularity=fine,scatter\nexport OFFLOAD_REPORT=3\nexport OMP_STACKSIZE=256M\nexport MIC_STACKSIZE=256M\n" }, { "path": "tools/build_libsmm/config/none.wlm", "content": "\n# Author: Alfio Lazzaro, alfio.lazzaro@mat.ethz.ch (2015)\n\nbatch_cmd() {\n$@\n}\n" }, { "path": "tools/build_libsmm/config/pbs.wlm", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2013)\n\nbatch_cmd() {\n echo \"${aprun_cmd} $@\" | \\\n\tqsub -N ${test_name} -j oe -V -d ${PWD} -lnodes=1 -lwalltime=${wtime};\n}\n" }, { "path": "tools/build_libsmm/config/slurm.wlm", "content": "# Author: Alfio Lazzaro, alazzaro@cray.com (2013)\n\nbatch_cmd() {\n sbatch -J ${test_name} -o \"${test_name}-%j.out\" -D ${PWD} --ntasks=1 --ntasks-per-node=1 --cpus-per-task=${ntasks} -t ${wtime} < C=C+MATMUL(A,B)\n# 2) 'tn' => C=C+MATMUL(TRANSPOSE(A),B)\n# 3) 'nt' => C=C+MATMUL(A,TRANSPOSE(B))\n# 4) 'tt' => C=C+MATMUL(TRANPOSE(A),TRANPOSE(B))\n#\n# select a tranpose_flavor from the list 1 2 3 4\n#\ntranspose_flavor=1\n\n# 1) d => double precision real\n# 2) s => single precision real\n# 3) z => double precision complex\n# 4) c => single precision complex\n#\n# select a data_type from the list 1 2 3 4\n#\ndata_type=1\n\n#\n# matrix dimensions for which optimized routines will be generated.\n# since all combinations of M,N,K are being generated the size of the library becomes very large\n# if too many sizes are being optimized for. Numbers have to be ascending.\n#\ndims_small=\"1 4 5 6 8 9 13 16 17 22 23 24 26 32\"\n\n#\n# tiny dimensions used are used as primivitves and generated in an 'exhaustive' search.\n# They should be a sequence from 1 to N,\n# where N is a number that is large enough to have good in cache performance\n#\ndims_tiny=`seq 1 24`\n" }, { "path": "tools/build_libsmm/generate", "content": "#!/bin/bash -e\n\n#\n# Author: Alfio Lazzaro, alfio.lazzaro@mat.ethz.ch (2013-2015)\n# Script to generate LIBSMM library\n# Run ./generate -h to see the help\n#\necho\necho \"Script to generate LIBSMM library.\"\necho \"Author: Alfio Lazzaro, alfio.lazzaro@mat.ethz.ch (2013-2015)\"\necho\n\n#\n# Source the library with all routines\n#\nsource generate.bash\n\n#\n# Default OPTIONS values\n#\ndef_config_dir=\"config\"\ndef_config_file=\"${def_config_dir}/cray.gnu\"\ndef_SIMD=\"avx\"\ndef_ntasks=\"1\"\ndef_base_work_dir=\"output\"\ndef_target=\"all\"\ndef_njobs=\"1\"\ndef_wlm=\"slurm\"\ndef_wtime=\"01:00:00\"\n\nshow_help() {\n echo \"Run with: ./generate [OPTIONS] [COMMAND]\"\n echo\n echo \"OPTIONS are:\"\n echo \" -h : show this help.\"\n echo \" -c : config file to use (declared inside ${def_config_dir} directory).\"\n echo \" Default value is \\\"${def_config_file}\\\".\"\n echo \" -j <#> : set the number of jobs for batch submission. Setting to zero means no batch submission.\"\n echo \" Default value is \\\"${def_njobs}\\\".\"\n echo \" -s : SIMD registers type (sse, avx, avx2, knc, avx512).\"\n echo \" Default value is \\\"${def_SIMD}\\\".\"\n echo \" -t <#> : set the number of tasks per each node.\"\n echo \" Default value is ${def_ntasks}.\"\n echo \" -w : workload manager for batch submission. The value must correspond to one of the files ${def_config_dir}/*.wlm.\"\n echo \" Default value is \\\"${def_wlm}\\\".\"\n echo \" -m